Microenvironment and Lung Cancer

Microenvironment and Lung Cancer

14 Microenvironment and Lung Cancer Tonya C. Walser, Elvira L. Liclican, Kenneth J. O’Byrne, William C.S. Cho, and Steven M. Dubinett SUMMARY OF KEY...

556KB Sizes 2 Downloads 90 Views

14

Microenvironment and Lung Cancer Tonya C. Walser, Elvira L. Liclican, Kenneth J. O’Byrne, William C.S. Cho, and Steven M. Dubinett

SUMMARY OF KEY POINTS

















14

• There is untapped potential for targeted lung cancer prevention and therapy that requires, as a first step, a more clear delineation of the biology underlying the lung carcinogenesis process. • The pulmonary microenvironment represents a unique milieu in which lung carcinogenesis proceeds in complicity with the four main components of the tumor microenvironment (TME): the field, cellular, soluble, and structural components. • The literature now suggests that the adjacent histologically normal-appearing epithelium is a participant in the dynamic process of lung tumor initiation and carcinogenesis. • Evidence continues to mount in support of the stromal compartment of the TME as an active participant in carcinogenesis, often driving the aggressiveness of tumors via its impact on the tumor cell secretome. • Molecular signatures composed mainly of immuneand inflammation-related cytokines characterizing the cellular and soluble components of the TME correlate with important clinical parameters. • The developing lung TME is populated by diverse cell types with both immune-protective and immunesuppressive potential—it is the balance of these effectors and their secretory products, along with their spatial and temporal context (i.e., the immune contexture), that often dictates clinical outcomes. • One of the consequences of the inflammatory TME is suppression of antitumor immunity, thus recent strategies have been designed to specifically target the immune system. • Dendritic cells are one of the cellular components of the TME that can be successfully utilized to redistribute soluble components of the TME (e.g., CCL21), ultimately redirecting the trafficking of immune cells into the tumor and enhancing immune activation. • Two families of drugs directed at the immune system include pattern recognition receptor agonists (PRRago) and immunostimulatory monoclonal antibodies (immune checkpoint inhibitors).

Many questions central to a discussion of the influence of the lung tumor microenvironment (TME) on tumorigenesis and progression persist: the cells of origin for cancers arising in the proximal versus distal airways; the identities of key driver versus passenger mutations distinguishing histologically diverse tumors; the critical mass or combination of molecular and environmental events tipping the balance in favor of malignant conversion of the airway; and the order of events characterizing tumor initiation and systematic progression. Regardless of the answers to these questions, there is undoubtedly untapped potential for targeted lung cancer prevention and therapy that requires, as a first step,

a clearer delineation of the biology underlying the lung carcinogenesis process. Perhaps no clinical approach holds more potential than targeting the molecular underpinnings of the interplay between premalignant lesions and the developing lung TME. The opportunities for combination approaches that target multiple components of the TME simultaneously also abound and are extremely promising clinically. Past and present attempts to molecularly delineate lung carcinogenesis and to target the epithelial-TME interface are discussed in this chapter.

LUNG CARCINOGENESIS The link between premalignancy and subsequent development of cancer is well established for some organ systems, but not for the lung.1 For example, removal of premalignant lesions is the standard of care and has been shown to decrease cancer incidence and mortality in the case of cervical dysplasia and colorectal polyps. However, it has been difficult to demonstrate the link between premalignant histologic airway abnormalities and subsequent development of lung cancer.2 Uncertainties about the clinical behavior of a premalignant lung lesion can lead to either inappropriate inaction or inappropriate aggressive treatment, both of which can result in harm to the patient. The seminal autopsy studies of Auerbach et al.3 from the early 1960s demonstrated multiple histologic abnormalities in nonmalignant bronchial epithelia of smokers with and without lung cancer. Because progressive sputum abnormalities have been shown to precede the development of lung cancer,4 it has been suggested that the development of lung cancer proceeds in an orderly fashion through increasing grades of histologic abnormalities that culminate in metastatic carcinoma, as in cervical and colorectal cancer. Recent molecular findings support this stepwise lung tumor initiation model in which injury or inflammation leads to dysregulated repair by stem cells.2 Tobacco smoking is a leading source of chronic injury and inflammation; thus, the majority of heavy smokers bear regions of airway epithelial dysplasia that are classified as premalignant lesions.5 Additional genetic and epigenetic alterations prevent normal differentiation of cells in these lesions and facilitate proliferation and expansion of the field, gradually displacing the normal epithelium and giving rise to full-blown malignancy and metastatic behavior. The initiation and expansion of this premalignant field (i.e., field cancerization) appear to be critical steps in lung carcinogenesis that can persist even after smoking cessation.6,7 The originally proposed and still prevailing model of lung cancer progression, termed the linear progression model, places the focus on the fully malignant primary tumor and its size, and metastatic dissemination is conditional on both.8,9 Conversely, the more recently posited parallel progression model proposes that metastases may also arise from the early dissemination of premalignant epithelial cells before their full malignant conversion or collective growth into a large primary tumor.8,9 Cell invasion and metastasis are hallmarks of cancer that are mediated by epithelial-to-mesenchymal transition (EMT) and typically are associated with late-stage disease.9–11 As per the linear progression model, EMT only occurs in rare cells at the leading invasive edge of advanced cancers, facilitating the final step (i.e.,

121

122

SECTION II  Lung Cancer Molecular Carcinogenesis

metastasis) in tumor progression. However, many groups have now demonstrated that EMT also drives malignant transformation and early dissemination of epithelial malignancies, including tobacco-related cancers.9,12,13 In addition, consistent with the parallel progression model, it was recently proposed that EMT promotes dissemination of lung epithelial cells prior to, or concomitant with, their malignant conversion. These alternate models of tumor initiation and progression were highlighted by Sanchez-Garcia9 in 2009, because they represented paradigm shifts in terms of our understanding of the protracted process of epithelial cell conversion from normal to cancer. Importantly, the parallel progression model may represent a more accurate model of lung cancer progression, given the clinical observation that 30% of patients with early-stage lung cancer who have surgery subsequently have metastatic disease, an indication that undetected micrometastatic disease may have already been present at the time of surgery.14 

THE DEVELOPING LUNG TUMOR MICROENVIRONMENT In the not-so-distant past, malignant epithelial cells were considered the tumor, and the adjacent histologically normal appearing epithelium, immune effector cells, inflammatory mediators, and the stroma were all considered irrelevant bystanders. Although genetic changes are critical for the malignant transformation of epithelial cells, we now understand that all components of the developing lung TME are active participants in the events precipitating lung cancer development. In fact, most tumors arise within, and are dependent on, a cellular microenvironment characterized by suppressed host immunity, dysregulated inflammation, and increased production of cellular growth and survival factors that induce angiogenesis and inhibit apoptosis. The pulmonary microenvironment, in particular, represents a unique milieu in which lung carcinogenesis proceeds in complicity with each of what we consider the four main components of the TME: the field, cellular, soluble, and structural components.

TME Field Component: Adjacent Histologically Normal-Appearing Epithelium Slaughter et al.15 initially coined the term “field cancerization” in 1953 to describe the histologically normal-appearing tissue adjacent to a neoplastic lesion that displays molecular abnormalities often identical to those in the tumor. The concept was seemingly rediscovered more than four decades later, when investigators renewed the effort to define the molecular mechanisms precipitating the development of an array of epithelial malignancies, including lung cancer.2,16–18 In contrast to other common epithelial malignancies, there is not yet a clinical rationale to evaluate potential premalignant lesions in people at risk for lung cancer. Thus, carefully designed clinical investigations are required to harvest these clinical specimens that would not otherwise be collected from these individuals. Although knowledge regarding the molecular changes that occur in the airway in the setting of lung carcinogenesis is only fragmentary at present, it is generally accepted that there are alterations in the airway epithelium that mirror many of the changes seen in the primary lung tumor. For example, in lung cancer, mutations in the Kirsten rat sarcoma viral oncogene homolog (KRAS) gene were described in nonmalignant histologically normal-appearing lung tissue adjacent to lung tumor.16,19 Moreover, loss of heterozygosity events were frequent in cells obtained from bronchial brushings of normal and abnormal lungs from patients undergoing diagnostic bronchoscopy and were detected in cells from the ipsilateral and contralateral lungs.20 Likewise, mutations in the epidermal growth factor receptor (EGFR) oncogene were reported in normal-appearing tissue adjacent to EGFR-mutant

lung adenocarcinoma and also occurred at a higher frequency at sites more proximal to the adenocarcinomas than at more distant regions.21,22 Global mRNA and microRNA expression profiles were also described in the normal-appearing bronchial epithelium of healthy smokers,23,24 and a cancer-specific gene expression biomarker was developed from the mainstem bronchus that can distinguish smokers with and without lung cancer.25,26 In addition, modulation of global gene expression in the normal bronchial epithelium in healthy smokers was similar in the large and small airways, and the smoking-induced alterations were mirrored in the epithelia of the mainstem bronchus and the buccal and nasal cavities.17,27,28 Kadara et al.29,30 advanced the field in 2013 with their investigation of the spatial and temporal molecular field of injury in individuals with early-stage nonsmall cell lung cancer (NSCLC), as determined by expression profiling of the large airways after definitive surgery. The normal airway epithelia were collected by endoscopic bronchoscopy brushings 12 months after surgical removal of the tumors, then every 12 months thereafter for up to 36 months. Although the study had key limitations, gene networks mediated by the phosphoinositide 3-kinase (PI3K) and ERK gene networks were upregulated in the airways adjacent to the resected tumor, suggesting that PI3K pathway dysregulation in the field of cancerization represents an early event in lung carcinogenesis that may persist even after resection of the primary tumor. In a follow-up study, the same researchers performed expression profiling of multiple normal-appearing airways various distances from tumors in conjunction with paired NSCLC tumors and normal lung tissues that were still in situ at the time of airway epithelial cell collection.31 Site-independent profiles, as well as gradient and localized airway expression patterns, characterized the adjacent airway field of cancerization, suggesting they may be useful for distinguishing the large airways of people with lung cancer from those of cancer-free smokers. Such studies of the field of cancerization enrich our understanding of the molecular pathogenesis of lung cancer and have transformative clinical potential. Biomarker signatures within the field could be used for risk assessment, diagnosis, monitoring progression of disease during active surveillance, and predicting the efficacy of adjuvant therapies following surgery. 

TME Cellular and Soluble Components: Immune Effector Cells and Cell-Secreted Inflammatory Mediators Since the early 2000s, the authors of gene expression profiling studies of several tumor types have described molecular signatures associated with carcinogenesis and progression. The molecular signatures that emerged from the original gene sets were composed mainly of cytokine genes involved in immune and inflammatory responses. In a seminal study by Bhattacharjee et al.32 in 2001, microarray-based expression profiling of resected tumor specimens allowed the investigators to discriminate between biologically distinct subclasses of adenocarcinomas, as well as primary lung adenocarcinomas and metastases of nonlung origin. Soon thereafter, Beer et al.33 used expression profiling to predict survival among patients with early-stage lung adenocarcinomas. Likewise, an mRNA expression profile developed by Potti et al.34 identified a subset of patients with early-stage NSCLC at high risk of recurrence. More recently, to inquire whether gene expression changes in the noncancerous tissue surrounding tumors could be used as a biomarker to predict cancer progression and prognosis, Seike et al.35 conducted a molecular profiling study of paired noncancerous and tumor tissues from patients with adenocarcinoma. Many of the genes identified were part of an immune and inflammatory response signature previously reported in other cancers, but a unique subset of the genes was also predictive of lymph node status and disease prognosis

CHAPTER 14  Microenvironment and Lung Cancer

among patients with NSCLC.36 Together, these studies provided the earliest indication of the potential for expression profiling and clear evidence that molecular signatures composed mainly of immune- and inflammation-related cytokines characterizing the cellular and soluble components of the TME correlate with important clinical parameters. 

TME Structural Component: Stroma As mentioned previously, the stroma was long thought to be the inert framework of the lung and irrelevant to the carcinogenesis process. Farmer et al.37 were the first to report a major contribution of stromal genes to drug sensitivity, although not in the lung, in the context of a randomized clinical trial. These researchers used tumor biopsy specimens from individuals in the European Organization for Research and Treatment of Cancer 10994/ BIG 00-01 trial with estrogen receptor-negative breast cancer treated with 5-fluorouracil, epirubicin, and cyclophosphamide and described a stromal gene signature that predicted resistance to preoperative chemotherapy. This study expanded the clinical significance of the identification of TME stroma-associated gene signatures, and it encouraged the development of antistromal agents as a new approach to overcome chemotherapy resistance. An important translational study by Zhong et al.38 also defined tumor cell and stromal cell interactions that inform the course of NSCLC progression. By coculturing a KRAS-mutant lung adenocarcinoma cell line with one of three lung stromal cells lines (macrophage, endothelial, or fibroblast) and subsequently profiling the secreted proteins, the group developed an in vitro model for evaluating the mechanisms by which stromal cells regulate the biologic properties of lung cancer cells. By two different proteomic approaches, the investigators concluded that stromal cells in the TME alter the tumor cell secretome, including proteins required for tumor growth and dissemination. Furthermore, they confirmed that the in vitro model robustly recapitulated many of the features of their KRAS-mutant murine model and human NSCLC specimens, suggesting its usefulness as a model of the lung TME. Still more recently, Li et al.39 demonstrated that mesenchymal stem cells (MSCs) recruited to the tumor stroma influence the phenotype of the tumor cells. Specifically, tumor cell-derived interleukin (IL)-1 induces prostaglandin E2 (PGE2) secretion by MSCs recruited to the tumor-associated stroma, which then acts in an autocrine manner to induce cytokine expression by the MSCs. The MSC-derived cytokines and PGE2 subsequently elicit a mesenchymal or stem cell–like phenotype in the tumor cells through activation of β-catenin signaling. Collectively, the results of these studies suggest that the stromal compartment of the TME is an active participant in carcinogenesis, often driving the aggressiveness of tumors via its impact on the tumor cell secretome. By extension, inhibition of specific interactions between tumor cells and the tumor-adjacent stroma holds significant potential in our search for novel lung cancer preventives and therapeutics. 

PROTOTYPICAL CELL TYPES COMPRISING THE CELLULAR COMPONENT OF THE DEVELOPING LUNG TUMOR MICROENVIRONMENT The developing lung TME is a unique and ever-changing milieu populated by diverse cell types with both immune-protective and immune-suppressive potential. The cell types are too numerous to describe in detail in the pages that follow. Thus, we discuss the induction, targeting, and potential pitfalls associated with attempting to harness three prototypical cell types characterizing the cellular component of the developing lung TME: cytotoxic and helper T cells, T regulatory cells (T regs), and dendritic cells.

123

Cytotoxic and Helper T Cells The presence of tumor-infiltrating lymphocytes (TILs) has long been considered a manifestation of antitumor immunity. However, the prognostic significance of TILs was only appreciated after the development of markers that define the individual subsets of TILs.40,41 Traditionally identified as a component of the cellular immune response to bacterial and viral infections, the integral role of cytotoxic CD8+ T cells (CTLs) in cell-mediated antitumor immune responses is now recognized. The reduced infiltration of CTLs, along with their reduced proliferation rate, increased susceptibility to spontaneous apoptosis, and impaired cytolytic activity against tumor cells, contributes to the immunosuppressive milieu that characterizes the developing lung TME.42,43 Accordingly, a high infiltration of CTLs expressing granzyme B, the classic effector of CTL cytolytic activity, as well as the location of TILs in tumor cell nests, is associated with a good clinical outcome in several types of cancer, including colorectal cancer, ovarian cancer, and lung cancer.44–50 Several reports have demonstrated that CTLs are associated with prolonged survival in lung cancer and positively correlated with favorable prognosis in patients with lung cancer.43,46,51,52 However, more important than the number of CTLs present is the ratio of effector to regulatory TILs. In recent studies of patients with hepatocellular and ovarian cancer, it was shown that the ratio of CD8+ TIL:T regs was an independent prognostic factor, whereas the numbers of T regs and CD8+ TILs by themselves had lower or no predictive value, respectively.53,54 It is becoming increasingly clear that CD4+ helper T cells are also a critical determinant of effective antitumor immune responses. On stimulation, naïve CD4+ T cells differentiate into effector cells known as T helper (Th) cells, of which there are four subsets: Th1, Th2, Th17, and T regs. While T regs dampen antitumor immunity (discussed later), Th1 cells, characterized by production of interferon gamma and tumor necrosis factoralpha, often lead to enhanced activation of CTLs, dendritic cells, and macrophages and beneficial downstream antitumor effects. In addition to assisting with the activation of other innate and adaptive immune cells, CD4+ helper T cells can induce apoptosis in tumor cells through Fas cell surface death receptor (FAS)- or tumor necrosis factor-related apoptosis-inducing ligand-dependent pathways.55,56 Accumulating evidence also suggests that CD4+ helper T cells can acquire cytolytic activity.57,58 As with CTLs, tumor-driven aberrant CD4+ T-cell differentiation and apoptosis, as well as Th dysfunction characterized by increased expression of the immune checkpoint molecule programmed death-1 (PD-1), contribute to the tolerogenic nature of the developing lung TME.59 In this regard, immunotherapy strategies that aim to enhance the infiltration and/or activity of both CTLs and CD4+ helper T cells are found to have a synergistic effect in boosting antitumor immunity. 

T Regulatory Cells One major impediment to our efforts in both the prevention and treatment of lung cancer is our inadequate understanding of how lung cancer cells escape immune surveillance and inhibit antitumor immunity. Thus, identification of T regs in patients with cancer was a finding of great clinical importance. June et al.60,61 were the first to document increased CD4+CD25+ T reg populations at the tumor site in patients with lung cancer. A subsequent examination of normal and tumor tissue from patients with NSCLC also indicated that tumor tissues have significantly higher expression of FOXP3 mRNA than normal tissues, rendering CD4+CD25+FOXP3+ the more specific phenotypic marker of functional T regs at the time.62 Next, investigators began to note increased numbers of T regs in the peripheral blood of patients with lung cancer relative to healthy volunteers and even patients with breast cancer.63 Zhang et al.64 made another key finding when they discovered that among

14

124

SECTION II  Lung Cancer Molecular Carcinogenesis

patients with NSCLC receiving paclitaxel-based chemotherapy, the mitotic inhibitor selectively decreased the size of the T reg cell population in the peripheral blood, but not the size of the effector T cell subsets. They went on to determine that the effect was mediated by the upregulation of the cell death receptor Fas (CD95) and selective induction of apoptosis of T regs. Although T reg cell function was significantly impaired, production of Th1 cytokines and expression of the CD44 activation marker were intact and even elevated within the helper and effector T cell subsets after treatment with paclitaxel. In addition to these studies in lung cancer, there are numerous reports of increased T regs in the peripheral blood coincident with increased TILs in the tumor bed in other malignant diseases.65–68 These seminal findings are consistent with studies in murine models demonstrating that depletion of T regs can significantly augment the efficacy of cancer vaccination.69 Together, these data suggest that T regs are selectively recruited to developing lung tumors, where they contribute to the immunosuppressive microenvironment that facilitates progression and metastasis. Likewise, the data suggest that T reg status can serve as an indicator of responsiveness to certain therapeutic regimens. One of the first studies to link T reg cell recruitment and prognosis, although not for lung cancer, came from Curiel et al.,70 who discovered that an increase in the number of tumor T regs was a significant predictor of increased risk for death and reduced survival in those with ovarian cancer. They also discovered that tumor cells and tumor-adjacent macrophages were contributors of the CCL22 chemokine that mediated trafficking of the T regs to the tumor. This was the first report of functional CCL22 within the lung TME and the earliest indication that blocking CCL22 in vivo reduces human T reg cell tumor trafficking. This report paved the way for those that followed seeking to develop novel immune-boosting strategies based on eradication of the T reg cell population in patients with cancer. Lastly, our group reported on the phenomenon of cycloxygenase-2 (COX-2) and PGE2 inhibition of immune responses in lung cancer via promotion of T reg activity. Numerous studies have now demonstrated that PGE2 enhances the in vitro inhibitory function of T regs and induces a regulatory phenotype in T helper cells.71–73 These and other basic and translational research investigations have informed our understanding of the role of CD4+CD25+ T regs in the developing lung TME, collectively suggesting that the development of clinical strategies to reduce the suppressive effects of these T regs in lung cancer is warranted. Efforts directed at ablating the suppressive activities of T regs have included clinical trials that use total lymphodepletion.74–76 Others have evaluated immunotoxins to specifically ablate the T reg population,77 and ongoing clinical investigations are assessing the role of celecoxib in controlling T reg numbers, activity, and differentiation in human NSCLC. While lymphodepletion or therapy with T reg immunotoxins may prove beneficial, COX-2/ PGE2 inhibition has additional potential benefits in the setting of NSCLC. In addition to the potential capacity to clinically decrease T reg cell function, COX-2 inhibition has been found to limit angiogenesis, decrease tumor invasiveness, and decrease tumor resistance to apoptosis in NSCLC.78–80 These pathways and malignant phenotypes may be inhibited by several different agents in the class of nonsteroidal anti-inflammatory drugs.81 Therefore, trials are evaluating COX inhibition in combination with other therapies.80 Such studies will help further define the required interventions in this pathway and lead to more specifically targeted agents to diminish T reg cell activities in cancer. These agents could then be combined with other immune-based clinical therapies in an informed manner. 

Dendritic Cells In a seminal publication, Dieu-Nosjean et al.46,82,83 identified ectopic lymph nodes or tertiary lymphoid structures within

human NSCLC specimens and correlated their cellular content with clinical outcome. Specifically, the density of mature dendritic cells within these structures was a predictor of long-term survival in patients with lung cancer.46 These findings were the first to suggest that ectopic lymph nodes participate in the host’s antitumor immune response and are consistent with now abundant preclinical and clinical data.84–88 For example, in murine tumor models, dendritic cells genetically modified to secrete CCL21 were reported to produce lymphoid cell aggregates and prime naïve T cells extranodally within a tumor mass, resulting in the generation of tumor-specific T cells and subsequent tumor regression.85,89 Thus, the intratumoral approach may achieve tumor antigen presentation by utilizing the tumor as an in vivo source of antigen for the dendritic cells. In contrast to in vitro immunization with purified peptide antigen(s), autologous tumor has the capacity to provide the activated dendritic cells administered at the tumor site access to the entire repertoire of available antigens in situ. This may increase the likelihood of a response and reduce the potential for tumor resistance due to phenotypic modulation. Dendritic cells are the most potent antigen-presenting cell capable of inducing primary immune responses.90 Dendritic cells express high levels of major histocompatibility complex and costimulatory molecules, such as CD40, CD80, and CD86. Dendritic cells also release high levels of cytokines and chemokines into the TME that attract antigen-specific T cells in vivo. These properties, combined with efficient capture of antigens by immature dendritic cells, allow them to efficiently present antigenic peptides and costimulate antigen-specific naïve T cells.90 Presentation of tumor-associated antigens by dendritic cells and their recognition by CTLs play an important role in the eradication of tumor cells.91 Based on the importance of dendritic cells in tumor immunity, a variety of strategies have been used to exploit this cell type in cancer immunotherapy.92–94 Advances in the isolation and in vitro propagation of dendritic cells, combined with identification of specific tumor antigens, have facilitated the start of clinical trials to evaluate dendritic cell-based vaccines,92–94 and dendritic cell transfer has since been demonstrated to be a safe approach for clinical evaluation.95–100 Strategies involving the use of dendritic cells in immunotherapy have included pulsing isolated dendritic cells with tumor antigen peptides, apoptotic tumor cells, or tumor lysates ex vivo.101–103 Dendritic cells have also been genetically modified with genes encoding tumor antigens or immunomodulatory proteins.104–106 There is evidence that dendritic cells transduced with adenoviral vectors (AdV) have prolonged survival and resistance to spontaneous and Fas-mediated cell death, suggesting their utility in delivering immunotherapy more efficiently and robustly.107 AdV transduction itself can also augment the capacity of dendritic cells to induce protective antitumor immunity.108 In addition, enhanced local and systemic antitumor effects have been demonstrated when AdV-transduced dendritic cells expressing cytokine genes have been injected intratumorally.109 AdVs are often used to transduce dendritic cells, because they efficiently induce strong heterologous gene expression in these cells.108,109 C-C motif chemokine ligand 21 (CCL21) is a cysteine-cysteine motif (CC) chemokine that belongs to a family of proteins involved in leukocyte chemotaxis and activation. Expressed in high endothelial venules and T cell zones of the spleen and lymph nodes, CCL21 exerts potent attraction of naïve T cells and mature dendritic cells, promoting their colocalization in secondary lymphoid organs and promoting cognate T cell activation.110 Potent antitumor properties of CCL21 in murine cancer models have been reported.111–113 CCL21 has also shown antiangiogenic activities in mice, thus strengthening its immunotherapeutic potential in cancer.114,115 Based on the so-called ectopic lymph node concept posited by Dieu-Nosjean et al.46 and the body of dendritic cell (DC)-CCL21 preclinical data available at the time,

CHAPTER 14  Microenvironment and Lung Cancer

our group initiated a phase I clinical trial at the University of California, Los Angeles in patients with advanced stage NSCLC. The trial consisted of intratumoral administration of autologous DCs transduced with a replication deficient adenoviral vector to express the CCL21.116 In situ vaccination with DC-CCL21 was well tolerated and induced systemic tumor antigen-specific immune responses and enhanced CD8+ T cell infiltration of the primary tumor. This study is one clinically relevant approach by which to harness the cellular component of the TME and manipulate the soluble component of the TME to the advantage of patients. 

PROTOTYPICAL CELL-SECRETED PRODUCTS COMPRISING THE SOLUBLE COMPONENT OF THE DEVELOPING LUNG TUMOR MICROENVIRONMENT Chronic or dysregulated inflammation in the pulmonary microenvironment characterizes pulmonary diseases associated with the greatest risk for the development of lung cancer, such as emphysema, chronic obstructive pulmonary disease, and pulmonary fibrosis.117–119 Here, we will discuss the induction, targeting, and potential/pitfalls associated with manipulating the following prototypical inflammatory mediators found in the developing lung TME: IL-2, IL-6, and transforming growth factor-beta (TGF-β).120

Interleukin-2 IL-2, produced by T cells during an immune response,121 is necessary for the growth, proliferation, and differentiation of naïve T cells into effector T cells. The use of IL-2 is approved by the US Food and Drug Administration (FDA) for cancer immunotherapy, and it is currently in clinical trials for the treatment of chronic viral infection.122 Combination treatment with IL-2 and anti-IL-2 monoclonal antibodies protects against tumor metastases in the lung,123 and although pulmonary edema was a side effect, high-dose IL-2 led to an antitumor response against pulmonary tumor nodules.124 IL-2 with a D20T mutation retains the antimetastatic activity of IL-2 via its interaction with the highaffinity IL-2 receptor, but it has a lower toxicity profile.125 Of interest is a recent study demonstrating that acupoint stimulation elicited a pronounced immunomodulatory effect among patients with lung cancer, as shown by increased production of IL-2.126 Collectively, these studies support the potential of harnessing IL-2 production for the benefit of patients. 

Interleukin-6 IL-6 is a multifunctional cytokine that can act as both a proinflammatory and an anti-inflammatory mediator. It is secreted by T cells and macrophages to stimulate immune responses, and increased levels of IL-6 have been associated with trauma, infection, and elevated cancer risk. IL-6 function is mediated primarily through the Janus kinase-signal transducer and activator of transcription-zinc finger protein 1–2 signaling pathway, and an elevated level of IL-6 has been shown to increase the production of collagen and alpha-actin, which together induce interstitial lung disease. High levels of IL-6 are also responsible for enhanced neoangiogenesis, inhibition of cancer cell apoptosis, and dysregulation of other control mechanisms in the TME.127 IL-6 has also been implicated in acquired resistance to EGFR inhibitors in patients with lung cancer. Furthermore, IL-6 is associated with poor prognosis and many of the debilitating symptoms that often affect patients with late-stage lung cancer, such as fatigue, thromboembolism, cachexia, and anemia. Consequently, a monoclonal antibody targeting IL-6 (ALD518) was recently developed to treat these

125

IL-6-dependent morbidities. In preclinical, phase I, and phase II trials in advanced stage NSCLC, ALD518 appears to be well tolerated and to effectively ameliorate anemia and cachexia.128 

Transforming Growth Factor-β TGF-β is a cytokine that controls proliferation, cellular differentiation, and other functions in most cells. Secreted by many cell types, including macrophages, it plays a role in immunity and carcinogenesis. When a cell is transformed into a cancer cell, parts of the TGF-β signaling pathway are mutated, resulting in proliferation of the cancer cells and surrounding stromal cells (fibroblasts). Additionally, both cell types increase their production of TGF-β, which then acts on the surrounding stromal, immune, endothelial, and smooth-muscle cells to induce immunosuppression and angiogenesis and to make the cancer more invasive.129 TME-derived TGF-β induces malignant phenotypes, such as epithelial mesenchymal transition (EMT) and aberrant cell motility, in lung cancer. TGF-β-induced translocation of β-catenin from E-cadherin complexes into the cytoplasm is involved in the transcription of EMT target genes.130 Many studies have indicated that high levels of TGF-β characterize most tumor tissues, primarily released from tumor cells to maintain their metastatic potential and the protumorigenic TME.131 A TME enriched in TGF-β is broadly immunosuppressive, in part, due to its inhibition of natural killer cell function. Several studies have shown that miR-183-dependent repression of DNA polymerase III subunit tau (DNAX) activating protein 12 kDa (DAP12) transcription and translation in NSCLC is mediated by TGF-β.132,133 TGF-β also converts effector T cells into T regs. Of interest, IL-6 enhances epithelial cell EMT and stimulates tumor progression by enhancing TGF-β signaling. Thus, IL-6 and TGF-β may play a contributing role in the maintenance of a paracrine loop between fibroblasts and NSCLC cells that facilitates tumor progression.134 Like IL-6, TGF-β is a pleiotropic inflammatory mediator that interacts with premalignant lesions and the developing tumor in ways that are malleable and potentially manipulatable for the advantage of patients. 

RECENT ATTEMPTS TO MOLECULARLY DEFINE THE FIELD COMPONENT OF THE LUNG TUMOR MICROENVIRONMENT In our review of the recent translational research, several studies highlight the field’s renewed appreciation for the urgent need to better define the key events driving lung carcinogenesis, if we are to ever achieve effective targeted lung cancer prevention. In the first of these studies, Ooi et al.135 identified molecular alterations that characterize premalignant lesions and carcinogenesis in lung squamous cell carcinoma using a novel approach. In this first report of a gene expression profiling study of airway premalignant lesions and patient-matched normal tissue and squamous cell carcinoma samples, the authors discovered transcriptomic changes and identified genomic pathways altered with initiation and progression of squamous cell carcinoma within individual patients. Additionally, their analysis identified coordinate changes in the activity of upstream regulators and the expression of downstream genes within the same patient during early- and late-stage carcinogenesis, enhancing our understanding of the stepwise carcinogenesis of squamous cell carcinoma. In another study, by Perdomo et al.,136 next-generation sequencing of small RNA from human bronchial airway epithelium identified miR-4423 as a regulator of airway epithelium differentiation and a repressor of lung carcinogenesis. Expression of miR-4423 is downregulated in the cytologically normal bronchial airway epithelium of smokers with lung cancer, which suggests that expression of miR-4423 and/or other miRNAs may be influenced by a field cancerization

14

126

SECTION II  Lung Cancer Molecular Carcinogenesis

effect and could be useful for the early detection of lung cancer in the relatively accessible proximal airway. Inflammationinduced upregulation of the zinc-finger transcription factor Snail has also been demonstrated to contribute to diverse aspects of lung carcinogenesis and progression, including EMT and angiogenesis.137,138 Snail was previously shown to be upregulated in human NSCLC tissues, to be associated with poor prognosis in patients, and to have promoted cancer cell growth and progression in vivo.138 More recently, we discovered that one mechanism by which Snail acts is via upregulation of secreted protein, acidic and rich in cysteine (SPARC), which drives SPARC-dependent invasion in a model of human lung premalignancy.139 The literature now suggests that the adjacent histologically normal-appearing epithelium is a participant in the dynamic process of lung tumor initiation and carcinogenesis. Work to define the interconnectedness of the field of cancerization to the other components of the TME and the developing or established primary tumor may be a rich source for biomarkers of initiation, progression, and targets for prevention and therapy. Development of more accurate in vitro and in vivo models of human premalignancy and lung carcinogenesis will further advance these efforts. 

RECENT ATTEMPTS TO MANIPULATE THE CELLULAR (IMMUNITY) AND SOLUBLE (INFLAMMATION) COMPONENTS OF THE TUMOR MICROENVIRONMENT FOR LUNG CANCER CHEMOPREVENTION AND THERAPY One of the consequences of the inflammatory TME is suppression of antitumor immunity, thus recent strategies have been designed to specifically target the immune system. As mentioned briefly, one approach to enhance immune responses is DC-based vaccines, in which DCs are used as a vehicle to intratumorally deliver chemokines and subsequently redirect the trafficking of immune cells into the tumor and enhance their activation.82,116 Using two murine models of lung cancer, we demonstrated for the first time that intratumoral administration of recombinant CCL21 could lead to potent immune-dependent antitumor responses and, consequently, reduce tumor growth.140 Importantly, CCL21mediated antitumor responses were lymphocyte-dependent. Therapy did not alter tumor growth in severe combined immunodeficiency mice, whereas intratumoral injection of CCL21 led to a significant increase in CD4+ and CD8+ T lymphocytes and DCs infiltrating both the tumor and draining lymph nodes in immunocompetent mice. Further studies in CD4 and CD8 gene knockout mice determined that both CD4+ and CD8+ T cell subsets accounted for the CCL21-mediated tumor regression.140 Intratumoral administration of CCL21 gene-modified DCs was also shown to generate systemic antitumor responses and confer tumor immunity via recruitment and activation of T effector cells in a transplantable and a spontaneous bronchoalveolar cell carcinoma model of lung cancer.141,142 These studies additionally demonstrated that elaboration of CCL21 in the tumors by DCs promotes the CXCR3/CXCR3 ligand efferent arm of the immune response for the modulation of antitumor activity; i.e., neutralization of the CXCR3 ligands CXCL9 or CXCL10 inhibited the antitumor responses.82,141 As the number of circulating competent DCs is decreased in patients with lung cancer,143 injecting DCs within the lung tumor site may be a particularly effective approach. In fact, there is a relationship between tumor-infiltrating DC aggregation and apoptosis in situ in human NSCLC.144 To this end, intratumoral administration of clinical grade CCL21-transduced DCs was evaluated in a phase I clinical trial for late-stage NSCLC.116 Patients with stage IIIB/IV NSCLC with a tumor accessible by computed tomography–guided or bronchoscopic intervention and disease refractory to standard therapy were selected. The objectives of the trial were to (1) determine the safety and

maximum tolerated dose of CCL21 gene-modified DCs (AdCCL21-DC) when administered into the primary lung cancer of patients with advanced NSCLC and (2) determine the local and systemic biologic activity of AD-CCL21 DC. Intratumoral vaccination with Ad-CCL21-DC was well tolerated and resulted in (1) induction of systemic tumor antigen-specific immune responses and (2) enhanced tumor CD8+ T cell infiltration accompanied by increased PD-L1 expression.82,116 Thus, DCs are a cellular component of the TME that can be utilized to redistribute soluble components of the TME (e.g., CCL21), ultimately redirecting trafficking of the immune cells into the tumor and enhancing specific immune activation. DC-CCL21 in situ vaccination will next be evaluated in combination with checkpoint inhibitor therapy. Intratumoral immunization represents another avenue for reversing cancer-induced immunotolerance, allowing an antitumor response to occur.145–147 This strategy has recently been supported by the positive results of clinical trials in metastatic melanoma, renal cell carcinoma, and NSCLC, cancers with low sensitivity to conventional cytotoxic therapies.146 Two families of drugs that are currently directed at the immune system and in clinical development include pattern recognition receptor agonists (PRRago) and immunostimulatory monoclonal antibodies (immune checkpoint inhibitors). In contrast to conventional anticancer drugs, these immunostimulatory drugs can be directly delivered into the tumor and generate a systemic antitumor immune response. Furthermore, intratumoral delivery can potentially trigger more potent antitumor immune responses while causing less autoimmune toxicity. PRRs constitute a growing family of receptors that recognize pathogen-associated molecular patterns, such as viral DNA or bacterial cell wall molecules, and damage-associated molecular patterns (DAMP) that are released upon cell death, stress, or tissue injury. PRRs are typically known for their role in the activation of immune responses against infectious pathogens, and evidence now suggests that activation of PRRs, such as toll-like receptors (TLRs) expressed by immune cells, also plays a role in immune responses against tumor cells.146 In this regard, it has been demonstrated that TLR stimulation of antigen-presenting cells within mice and in the human TME modifies their phenotype from tolerogenic to immunogenic, with an upregulation of class II major histocompatibility complex, CD80, and CD86.148,149 TLRs can also be expressed by tumor cells, and the direct activation of these TLRs can result in the death of the targeted tumor cell and/or upregulate antigenpresentation molecules.150,151 Furthermore, with chemotherapy or tumor-targeted therapy, tumor cells can release DAMPs, which can then stimulate the immune cells surrounding the tumor cells. This is exemplified by high mobility group protein B1, an intracellular protein released in the TME upon tumor cell death that is subsequently recognized by TLR-4 expressed on tumor-infiltrating immune cells. Although the mechanism of the therapeutic effect of intratumoral PRRago is multifactorial, depending on the tumor cell type, the TME, and the PRRago used, a common feature is stimulation of tumor-infiltrating antigen-presenting cells, including B cells, DCs, tumor-associated macrophages, and other myeloid-derived suppressor cells. It should be noted, however, that although activation of tumor-infiltrating antigen-presenting cells is a prerequisite for mounting an efficient adaptive antitumor immune response against tumor-associated antigens, it does not address immunosuppressive tumor-infiltrating T regs and exhausted tumor-infiltrating CTLs. Immunostimulatory monoclonal antibodies are designed to reverse tumor immunotolerance and stimulate antitumor immune responses by targeting checkpoints for T cell activation. Of the checkpoint inhibitors in clinical development, the anti-CTL antigen-4 (CTLA-4) monoclonal antibody ipilimumab has already been approved for metastatic melanoma.146,147 CTLA-4 is a cell surface receptor constitutively expressed by FOXP3+ CD4+ T regs, and it is a critical negative immune checkpoint that limits the induction of potent CTL responses. In two randomized phase III clinical trials,

CHAPTER 14  Microenvironment and Lung Cancer

systemic intravenous therapy with ipilimumab generated long-lasting tumor responses in up to 20% of patients with refractory/relapsing melanoma.152,153 However, this therapy was associated with major autoimmune toxicities requiring high-dose corticosteroids in about 60% of patients treated. The efficacy of anti-CTLA-4 has thus far been attributed to its ability to block the inhibitory interaction of CTLA-4 expressed on effector T cells with CD80/86 expressed by tolerogenic tumor antigen-presenting cells and, more recently, to intratumoral depletion of T regs rather than an interaction with CD4+ effector T cells.146,147,152,153 Intratumoral tumor-specific T regs express high levels of CTLA-4, which can be depleted by therapy with anti-CTLA-4 via FcγR+ tumor-infiltrating cells.146 Although no biomarkers exist to definitively predict which patients will benefit from anti-CTLA-4 therapy, there is a pattern in which a pretreatment gene signature demonstrating CD8 T cell infiltrates and CD8-attracting chemokines is, at least to some degree, positively correlated with benefit.154 Current use of anti-CTLA-4 agents in NSCLC is still limited to phase I–III trials. Based on the positive results of anti-CTLA-4 monoclonal antibodies, a second negative immune checkpoint mediated through interactions of PD-1 with its ligands PD-L1 and PD-L2 has been investigated as a target for cancer immunotherapy.145–147 Monoclonal antibodies targeting the PD-1/PD-L1 axis have demonstrated strong and encouraging clinical activity in patients with metastatic melanoma, renal cell carcinoma, and NSCLC.155,156 Late-phase clinical trials of these anti-PD-1 agents in patients with advanced lung cancers translated into improved clinical outcomes compared with standard-of-care chemotherapy.157–161 Thus, two of the agents, nivolumab and pembrolizumab, are now FDA-approved for NSCLC in the second-line setting.157,158 FDA approval for these agents as first-line therapy for NSCLC is anticipated. Importantly, preclinical models have demonstrated that the efficacy of immunostimulatory monoclonal antibodies may be potentiated when used in combination. Indeed, in murine models of melanoma, the combination of anti-PD-1 and anti-CTLA-4 monoclonal antibodies may be more effective than either agent alone, due to the complementary functional roles of these two negative immune checkpoints. Intratumoral injection of immunostimulatory agents is also postulated to have a potentiating effect. Local delivery, rather than systemic, allows concentration of the agent in the TME, limiting the toxicity of the monoclonal antibodies and increasing the efficacy of PRRago. This strategy relies on accessibility of the tumor site for injection, however, which can be an issue if repeated injections are needed. As with anti-CTLA-4 therapy, no definitive predictive biomarkers exist for monoclonal antibodies targeting the PD-1/ PD-L1 axis. However, transcriptomic profiling and whole-exome sequencing of melanoma from patients treated with anti-PD-1, a subset of whom had received prior mitogen-activated protein kinase inhibitor treatment, has given us insight into the relevance of transcriptomic changes and tumor mutations to therapeutic responsiveness.162 Description of an innate anti-PD-1 resistance signature (IPRES) consisting of a set of coenriched genes in nonresponders is an important first step toward the identification of better biomarkers of response. With the approval of nivolumab and pembrolizumab for NSCLC, similar advances may soon be brought to bear against lung cancer as well. In addition to their report of a melanoma IPRES, Hugo et al.162 also described a correlation between tumor mutational load and improved patient survival, but no statistically significant association between high mutational load and response to anti-PD-1 therapy was observed. Conversely, a number of other groups have reported a positive correlation between overall mutational load and both antiCTLA-4 and anti-PD-1 treatment responsiveness.162–166 There are still other preclinical reports suggesting that it is not mutational load in general that predicts response, but rather key driver mutations specifically upregulate PD-L1 for the purpose of immune evasion, thereby linking those specific mutations to antiPD-1 treatment responsiveness.145,167,168 For example, Akbay

127

et al.145 suggest that EGFR-driven tumors may be characterized by host T cell exhaustion via upregulation of the PD-1/PD-L1 axis. Using a mouse model of EGFR-driven lung cancer, the authors demonstrated that administration of anti-PD-1 monoclonal antibodies reduced tumor growth and improved survival by enhancing T cell effector function and reducing the levels of tumor-promoting cytokines. Preclinical investigations of KRAS and MYC driver mutations also identify upregulation of PD-L1 by these oncogenic drivers, along with a concomitant increase in other key tumorigenic phenotypes.167,168 Perhaps in alignment with these preclinical observations, Rizvi et al.158,169 found that mutations in KRAS were evident in 7 of 14 tumors from NSCLC patients with partial or stable response >6 months compared with 1 of 17 in those that had no durable benefit from pembrolizumab. However, this finding may be explained by the association between KRAS mutations in NSCLC with smoking, given that smokers often harbor a substantially greater mutational load with each mutation serving as a potential source of neoantigens.169,170 

CONCLUSION Although the epithelial compartment remains central, investigators now understand that lung carcinogenesis proceeds in complicity with each of the four main components of the TME—the field, cellular, soluble, and stromal components. The epithelial and field compartments are definitively interconnected, but a more complete understanding of the molecular pathogenesis of lung cancer is required for the development of biomarker signatures, noninvasively obtained from the field, that are useful for risk assessment, diagnosis, disease monitoring, and predicting adjuvant therapy efficacy following surgery. Numerous cell types and cell-secreted products comprise the developing lung TME, and there are both advantages and disadvantages associated with attempting to harness each for the benefit of patients. Our review of the most recent translational and clinical literature highlights the field’s evolving approach to the manipulation of these two particular TME components, including the rise of immunotherapeutics targeting the tumor-TME interface. On the whole, targeting the interplay between the epithelial compartment and the developing lung TME as a lung cancer prevention and therapy strategy has clear clinical potential that finally appears to be approaching fruition.

KEY REFERENCES 2. Gomperts BN, Spira A, Massion PP, et al. Evolving concepts in lung carcinogenesis. Semin Respir Crit Care Med. 2011;32(1):32–44. 6. Wistuba II. Genetics of preneoplasia: lessons from lung cancer. Curr Mol Med. 2007;7(1):3–14. 8. Klein CA. Parallel progression of primary tumours and metastases. Nat Rev Cancer. 2009;9(4):302–312. 9. Sanchez-Garcia I. The crossroads of oncogenesis and metastasis. N Engl J Med. 2009;360(3):297–299. 15. Slaughter DP, Southwick HW, Smejkal W. Field cancerization in oral stratified squamous epithelium; clinical implications of multicentric origin. Cancer. 1953;6(5):963–968. 17. Steiling K, Ryan J, Brody JS, Spira A. The field of tissue injury in the lung and airway. Cancer Prev Res (Phila). 2008;1(6):396–403. 29. Kadara H, Shen L, Fujimoto J, et al. Characterizing the molecular spatial and temporal field of injury in early-stage smoker non-small cell lung cancer patients after definitive surgery by expression profiling. Cancer Prev Res (Phila). 2013;6(1):8–17. 30. Gomperts BN, Walser TC, Spira A, Dubinett SM. Enriching the molecular definition of the airway “field of cancerization:” establishing new paradigms for the patient at risk for lung cancer. Cancer Prev Res (Phila). 2013;6(1):4–7. 32. Bhattacharjee A, Richards WG, Staunton J, et al. Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses. Proc Natl Acad Sci USA. 2001;98(24):13790–13795. 33. Beer DG, Kardia SL, Huang CC, et al. Gene-expression profiles predict survival of patients with lung adenocarcinoma. Nat Med. 2002;8(8):816–824.

14

128

SECTION II  Lung Cancer Molecular Carcinogenesis

38. Zhong L, Roybal J, Chaerkady R, et al. Identification of secreted proteins that mediate cell-cell interactions in an in vitro model of the lung cancer microenvironment. Cancer Res. 2008;68(17):7237–7245. 46. Dieu-Nosjean MC, Antoine M, Danel C, et al. Long-term survival for patients with non-small-cell lung cancer with intratumoral lymphoid structures. J Clin Oncol. 2008;26(27):4410–4417. 116. Lee JM, Lee MH, Garon EB, et al. Society for Immunotherapy of Cancer (SITC) Annual Meeting. Maryland: National Harbor; 2016. 118. Heinrich EL, Walser TC, Krysan K, et al. The inflammatory tumor microenvironment, epithelial mesenchymal transition and lung carcinogenesis. Cancer Microenviron. 2012;5(1):5–18. 135. Ooi AT, Gower AC, Zhang KX, et al. Molecular profiling of premalignant lesions in lung squamous cell carcinomas identifies mechanisms involved in stepwise carcinogenesis. Cancer Prev Res (Phila). 2014;7(5):487–495. 136. Perdomo C, Campbell JD, Gerrein J, et al. MicroRNA 4423 is a primate-specific regulator of airway epithelial cell differentiation and lung carcinogenesis. Proc Natl Acad Sci USA. 2013;110(47):18946–18951. 139. Grant JL, Fishbein MC, Hong LS, et al. A novel molecular pathway for snail-dependent, SPARC-mediated invasion in non-small cell lung cancer pathogenesis. Cancer Prev Res (Phila). 2014;7(1):150–160.

151. Brody JD, Ai WZ, Czerwinski DK, et al. In situ vaccination with a TLR9 agonist induces systemic lymphoma regression: a phase I/II study. J Clin Oncol. 2010;28(28):4324–4332. 152. Hodi FS, O’Day SJ, McDermott DF, et al. Improved survival with ipilimumab in patients with metastatic melanoma. N Engl J Med. 2010;363(8):711–723. 157. Brahmer J, Reckamp KL, Baas P, Crino L, Eberhardt WE, Poddubskaya E, et al. Nivolumab versus docetaxel in advanced squamous-cell non-small-cell lung cancer. N Engl J Med. 2015;373: 123–135. 158. Garon EB, Rizvi NA, Hui R, Leighl N, Balmanoukian AS, Eder JP, et al. Pembrolizumab for the treatment of non-small-cell lung cancer. N Engl J Med. 2015;372:2018–2028. 162. Hugo W, Zaretsky JM, Sun L, et al. Genomic and transcriptomic features of response to anti-PD-1 therapy in metastatic nelanoma. Cell. 2016;165:35–44. 169. Rizvi NA, Hellmann MD, Snyder A, et al. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer. Science. 2015;348:124–128.

See Expertconsult.com for full list of references.

REFERENCES

1. Szabo E. Altered histology provides a positive clinical signal in the bronchial epithelium. Cancer Prev Res (Phila). 2011;4(6):775–778. 2. Gomperts BN, Spira A, Massion PP, et al. Evolving concepts in lung carcinogenesis. Semin Respir Crit Care Med. 2011;32(1):32–44. 3. Auerbach O, Stout AP, Hammond EC, Garfinkel L. Changes in bronchial epithelium in relation to cigarette smoking and in relation to lung cancer. N Engl J Med. 1961;265:253–267. 4. Gomperts BN, Spira A, Elashoff DE, Dubinett SM. Lung cancer biomarkers: FISHing in the sputum for risk assessment and early detection. Cancer Prev Res (Phila). 2010;3(4):420–423. 5. Ishizumi T, McWilliams A, MacAulay C, Gazdar A, Lam S. Natural history of bronchial preinvasive lesions. Cancer Metastasis Rev. 2010;29(1):5–14. 6. Wistuba II. Genetics of preneoplasia: lessons from lung cancer. Curr Mol Med. 2007;7(1):3–14. 7. Lantuejoul S, Salameire D, Salon C, Brambilla E. Pulmonary preneoplasia—sequential molecular carcinogenetic events. Histopathology. 2009;54(1):43–54. 8. Klein CA. Parallel progression of primary tumours and metastases. Nat Rev Cancer. 2009;9(4):302–312. 9. Sanchez-Garcia I. The crossroads of oncogenesis and metastasis. N Engl J Med. 2009;360(3):297–299. 10. Hanahan D, Weinberg RA. The hallmarks of cancer. Cell. 2000;100(1):57–70. 11. Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell. 2011;144(5):646–674. 12. Mani SA, Guo W, Liao MJ, et al. The epithelial-mesenchymal transition generates cells with properties of stem cells. Cell. 2008; 133(4):704–715. 13. Rhim AD, Mirek ET, Aiello NM, et al. EMT and dissemination precede pancreatic tumor formation. Cell. 2012;148(1–2):349–361. 14. Endo C, Sakurada A, Notsuda H, et al. Results of long-term follow-up of patients with completely resected non-small cell lung cancer. Ann Thorac Surg. 2012;93:1061–1068. 15. Slaughter DP, Southwick HW, Smejkal W. Field cancerization in oral stratified squamous epithelium; clinical implications of multicentric origin. Cancer. 1953;6(5):963–968. 16. Franklin WA, Gazdar AF, Haney J, et al. Widely dispersed p53 mutation in respiratory epithelium. A novel mechanism for field carcinogenesis. J Clin Invest. 1997;100(8):2133–2137. 17. Steiling K, Ryan J, Brody JS, Spira A. The field of tissue injury in the lung and airway. Cancer Prev Res (Phila). 2008;1(6):396–403. 18. Gazdar AF, Minna JD. Multifocal lung cancers—clonality vs field cancerization and does it matter? J Natl Cancer Inst. 2009;101(8): 541–543. 19. Nelson MA, Wymer J, Clements Jr N. Detection of K-ras gene mutations in non-neoplastic lung tissue and lung cancers. Cancer Lett. 1996;103(1):115–121. 20. Powell CA, Klares S, O’Connor G, Brody JS. Loss of heterozygosity in epithelial cells obtained by bronchial brushing: clinical utility in lung cancer. Clin Cancer Res. 1999;5(8):2025–2034. 21. Tang X, Shigematsu H, Bekele BN, et al. EGFR tyrosine kinase domain mutations are detected in histologically normal respiratory epithelium in lung cancer patients. Cancer Res. 2005;65(17):7568–7572. 22. Tang X, Varella-Garcia M, Xavier AC, et al. Epidermal growth factor receptor abnormalities in the pathogenesis and progression of lung adenocarcinomas. Cancer Prev Res (Phila). 2008;1(3):192–200. 23. Perdomo C, Spira A, Schembri F. MiRNAs as regulators of the response to inhaled environmental toxins and airway carcinogenesis. Mutat Res. 2011;717(1–2):32–37. 24. Schembri F, Sridhar S, Perdomo C, et al. MicroRNAs as modulators of smoking-induced gene expression changes in human airway epithelium. Proc Natl Acad Sci USA. 2009;106(7):2319–2324. 25. Beane J, Sebastiani P, Whitfield TH, et al. A prediction model for lung cancer diagnosis that integrates genomic and clinical features. Cancer Prev Res (Phila). 2008;1(1):56–64. 26. Spira A, Beane JE, Shah V, et al. Airway epithelial gene expression in the diagnostic evaluation of smokers with suspect lung cancer. Nat Med. 2007;13(3):361–366. 27. Bhutani M, Pathak AK, Fan YH, et al. Oral epithelium as a surrogate tissue for assessing smoking-induced molecular alterations in the lungs. Cancer Prev Res (Phila). 2008;1(1):39–44. 28. Sridhar S, Schembri F, Zeskind J, et al. Smoking-induced gene expression changes in the bronchial airway are reflected in nasal and buccal epithelium. BMC Genomics. 2008;9:259.

29. Kadara H, Shen L, Fujimoto J, et al. Characterizing the molecular spatial and temporal field of injury in early-stage smoker non-small cell lung cancer patients after definitive surgery by expression profiling. Cancer Prev Res (Phila). 2013;6(1):8–17. 30. Gomperts BN, Walser TC, Spira A, Dubinett SM. Enriching the molecular definition of the airway “field of cancerization:” establishing new paradigms for the patient at risk for lung cancer. Cancer Prev Res (Phila). 2013;6(1):4–7. 31. Kadara H, Fujimoto J, Yoo SY, et al. Transcriptomic architecture of the adjacent airway field cancerization in non-small cell lung cancer. J Natl Cancer Inst. 2014;106(3): dju004. 32. Bhattacharjee A, Richards WG, Staunton J, et al. Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses. Proc Natl Acad Sci USA. 2001;98(24):13790–13795. 33. Beer DG, Kardia SL, Huang CC, et al. Gene-expression profiles predict survival of patients with lung adenocarcinoma. Nat Med. 2002;8(8):816–824. 34. Potti A, Mukherjee S, Petersen R, et al. A genomic strategy to refine prognosis in early-stage non-small-cell lung cancer. N Engl J Med. 2006;355(6):570–580. 35. Seike M, Yanaihara N, Bowman ED, et al. Use of a cytokine gene expression signature in lung adenocarcinoma and the surrounding tissue as a prognostic classifier. J Natl Cancer Inst. 2007;99(16):1257–1269. 36. Budhu A, Forgues M, Ye QH, et al. Prediction of venous metastases, recurrence, and prognosis in hepatocellular carcinoma based on a unique immune response signature of the liver microenvironment. Cancer Cell. 2006;10(2):99–111. 37. Farmer P, Bonnefoi H, Anderle P, et al. A stroma-related gene signature predicts resistance to neoadjuvant chemotherapy in breast cancer. Nat Med. 2009;15(1):68–74. 38. Zhong L, Roybal J, Chaerkady R, et al. Identification of secreted proteins that mediate cell-cell interactions in an in vitro model of the lung cancer microenvironment. Cancer Res. 2008;68(17):7237–7245. 39. Li HJ, Reinhardt F, Herschman HR, Weinberg RA. Cancer-stimulated mesenchymal stem cells create a carcinoma stem cell niche via prostaglandin E2 signaling. Cancer Discov. 2012;2(9):840–855. 40. Demaria S, Pikarsky E, Karin M, et al. Cancer and inflammation: promise for biological therapy. J Immunother. 2010;33(4):335–351. 41. Yakirevich E, Resnick MB. Regulatory T lymphocytes: pivotal components of the host antitumor response. J Clin Oncol. 2007;25(18):2506–2508. 42. Yoshino I, Yano T, Murata M, et al. Tumor-reactive T-cells accumulate in lung cancer tissues but fail to respond due to tumor cell-derived factor. Cancer Res. 1992;52(4):775–781. 43. Prado-Garcia H, Romero-Garcia S, Aguilar-Cazares D, M­eneses-Flores M, Lopez-Gonzalez JS. Tumor-induced CD8+ T-cell dysfunction in lung cancer patients. Clin Dev Immunol. 2012;2012:741741. 44. Al-Shibli KI, Donnem T, Al-Saad S, Persson M, Bremnes RM, Busund LT. Prognostic effect of epithelial and stromal lymphocyte infiltration in non-small cell lung cancer. Clin Cancer Res. 2008;14(16):5220–5227. 45. Kawai O, Ishii G, Kubota K, et al. Predominant infiltration of macrophages and CD8(+) T cells in cancer nests is a significant predictor of survival in stage IV nonsmall cell lung cancer. Cancer. 2008;113(6):1387–1395. 46. Dieu-Nosjean MC, Antoine M, Danel C, et al. Long-term survival for patients with non-small-cell lung cancer with intratumoral lymphoid structures. J Clin Oncol. 2008;26(27):4410–4417. 47. Naito Y, Saito K, Shiiba K, et al. CD8+ T cells infiltrated within cancer cell nests as a prognostic factor in human colorectal cancer. Cancer Res. 1998;58(16):3491–3494. 48. Galon J, Costes A, Sanchez-Cabo F, et al. Type, density, and location of immune cells within human colorectal tumors predict clinical outcome. Science. 2006;313(5795):1960–1964. 49. Pages F, Berger A, Camus M, et al. Effector memory T cells, early metastasis, and survival in colorectal cancer. N Engl J Med. 2005;353(25):2654–2666. 50. Zhang L, Conejo-Garcia JR, Katsaros D, et al. Intratumoral T cells, recurrence, and survival in epithelial ovarian cancer. N Engl J Med. 2003;348(3):203–213. 51. Wakabayashi O, Yamazaki K, Oizumi S, et al. CD4+ T cells in cancer stroma, not CD8+ T cells in cancer cell nests, are associated with favorable prognosis in human non-small cell lung cancers. Cancer Sci. 2003;94(11):1003–1009.

128.e1

128.e2

References

52. Ruffini E, Asioli S, Filosso PL, et al. Clinical significance of tumor-infiltrating lymphocytes in lung neoplasms. Ann Thorac Surg. 2009;87(2):365–371. discussion 371–372. 53. Gao Q, Qiu SJ, Fan J, et al. Intratumoral balance of regulatory and cytotoxic T cells is associated with prognosis of hepatocellular carcinoma after resection. J Clin Oncol. 2007;25(18):2586–2593. 54. Sato E, Olson SH, Ahn J, et al. Intraepithelial CD8+ tumor-infiltrating lymphocytes and a high CD8+/regulatory T cell ratio are associated with favorable prognosis in ovarian cancer. Proc Natl Acad Sci USA. 2005;102(51):18538–18543. 55. Schattner EJ, Mascarenhas J, Bishop J, et al. CD4+ T-cell induction of Fas-mediated apoptosis in Burkitt’s lymphoma B cells. Blood. 1996;88(4):1375–1382. 56. Thomas WD, Hersey P. TNF-related apoptosis-inducing ligand (TRAIL) induces apoptosis in Fas ligand-resistant melanoma cells and mediates CD4 T cell killing of target cells. J Immunol. 1998;161(5):2195–2200. 57. Xie Y, Akpinarli A, Maris C, et al. Naive tumor-specific CD4(+) T cells differentiated in vivo eradicate established melanoma. J Exp Med. 2010;207(3):651–667. 58. Quezada SA, Simpson TR, Peggs KS, et al. Tumor-reactive CD4(+) T cells develop cytotoxic activity and eradicate large established melanoma after transfer into lymphopenic hosts. J Exp Med. 2010;207(3):637–650. 59. Ding ZC, Blazar BR, Mellor AL, Munn DH, Zhou G. Chemotherapy rescues tumor-driven aberrant CD4+ T-cell differentiation and restores an activated polyfunctional helper phenotype. Blood. 2010;115(12):2397–2406. 60. Woo EY, Chu CS, Goletz TJ, et al. Regulatory CD4(+)CD25(+) T cells in tumors from patients with early-stage non-small cell lung cancer and late-stage ovarian cancer. Cancer Res. 2001;61(12): 4766–4772. 61. Woo EY, Yeh H, Chu CS, et al. Cutting edge: regulatory T cells from lung cancer patients directly inhibit autologous T cell proliferation. J Immunol. 2002;168(9):4272–4276. 62. Ishibashi Y, Tanaka S, Tajima K, Yoshida T, Kuwano H. Expression of Foxp3 in non-small cell lung cancer patients is significantly higher in tumor tissues than in normal tissues, especially in tumors smaller than 30 mm. Oncol Rep. 2006;15(5):1315–1319. 63. Okita R, Saeki T, Takashima S, Yamaguchi Y, Toge T. CD4+CD25+ regulatory T cells in the peripheral blood of patients with breast cancer and non-small cell lung cancer. Oncol Rep. 2005;14(5): 1269–1273. 64. Zhang L, Dermawan K, Jin M, et al. Differential impairment of regulatory T cells rather than effector T cells by paclitaxel-based chemotherapy. Clin Immunol. 2008;129(2):219–229. 65. Ichihara F, Kono K, Takahashi A, Kawaida H, Sugai H, Fujii H. Increased populations of regulatory T cells in peripheral blood and tumor-infiltrating lymphocytes in patients with gastric and esophageal cancers. Clin Cancer Res. 2003;9(12):4404–4408. 66. Liyanage UK, Moore TT, Joo HG, et al. Prevalence of regulatory T cells is increased in peripheral blood and tumor microenvironment of patients with pancreas or breast adenocarcinoma. J Immunol. 2002;169(5):2756–2761. 67. Sasada T, Kimura M, Yoshida Y, Kanai M, Takabayashi A. CD4+CD25+ regulatory T cells in patients with gastrointestinal malignancies: possible involvement of regulatory T cells in disease progression. Cancer. 2003;98(5):1089–1099. 68. Wolf AM, Wolf D, Steurer M, Gastl G, Gunsilius E, GrubeckLoebenstein B. Increase of regulatory T cells in the peripheral blood of cancer patients. Clin Cancer Res. 2003;9(2):606–612. 69. Sutmuller RP, van Duivenvoorde LM, van Elsas A, et al. Synergism of cytotoxic T lymphocyte-associated antigen 4 blockade and depletion of CD25(+) regulatory T cells in antitumor therapy reveals alternative pathways for suppression of autoreactive cytotoxic T lymphocyte responses. J Exp Med. 2001;194(6):823–832. 70. Curiel TJ, Coukos G, Zou L, et al. Specific recruitment of regulatory T cells in ovarian carcinoma fosters immune privilege and predicts reduced survival. Nat Med. 2004;10:942–949. 71. Baratelli F, Lin Y, Zhu L, et al. Prostaglandin E2 induces FOXP3 gene expression and T regulatory cell function in human CD4+ T cells. J Immunol. 2005;175(3):1483–1490. 72. Sharma S, Yang SC, Zhu L, et al. Tumor cyclooxygenase-2/ prostaglandin E2-dependent promotion of FOXP3 expression and CD4+ CD25+ T regulatory cell activities in lung cancer. Cancer Res. 2005;65(12):5211–5220.

73. Ganesan AP, Johansson M, Ruffell B, et al. Tumor-infiltrating regulatory T cells inhibit endogenous cytotoxic T cell responses to lung adenocarcinoma. J Immunol. 2013;191(4):2009–2017. 74. Dudley ME, Rosenberg SA. Adoptive-cell-transfer therapy for the treatment of patients with cancer. Nat Rev Cancer. 2003; 3(9):666–675. 75. Klebanoff CA, Khong HT, Antony PA, Palmer DC, Restifo NP. Sinks, suppressors and antigen presenters: how lymphodepletion enhances T cell-mediated tumor immunotherapy. Trends Immunol. 2005;26(2):111–117. 76. Rosenberg SA, Dudley ME. Cancer regression in patients with metastatic melanoma after the transfer of autologous antitumor lymphocytes. Proc Natl Acad Sci USA. 2004;101(suppl 2):14639–14645. 77. Kreitman RJ, Pastan I. Immunobiological treatments of hairy-cell leukaemia. Best Pract Res Clin Haematol. 2003;16(1):117–133. 78. Dubinett SM, Sharma S, Huang M, Dohadwala M, Pold M, Mao JT. Cyclooxygenase-2 in lung cancer. Prog Exp Tumor Res. 2003;37: 138–162. 79. Riedl K, Krysan K, Pold M, et al. Multifaceted roles of cyclooxygenase-2 in lung cancer. Drug Resist Updat. 2004;7(3):169–184. 80. Sandler A, Gray R, Perry MC, et al. Paclitaxel-carboplatin alone or with bevacizumab for non-small-cell lung cancer. N Engl J Med. 2006;355(24):2542–2550. 81. Dannenberg AJ, Subbaramaiah K. Targeting cyclooxygenase-2 in human neoplasia: rationale and promise. Cancer Cell. 2003;4(6): 431–436. 82. Dubinett SM, Lee JM, Sharma S, Mule JJ. Chemokines: can effector cells be redirected to the site of the tumor? Cancer J. 2010;16(4): 325–335. 83. Walser TC, Yanagawa J, Garon E, Lee JM, Dubinett SM. Tumor microenvironment. In: Stewart DJ, ed. Lung Cancer: Prevention, Management and Emerging Therapies. New York, NY: Humana Press; 2010:27–69. 84. Coppola D, Mule JJ. Ectopic lymph nodes within human solid tumors. J Clin Oncol. 2008;26(27):4369–4370. 85. Kirk CJ, Hartigan-O’Connor D, Nickoloff BJ, et al. T cell-dependent antitumor immunity mediated by secondary lymphoid tissue chemokine: augmentation of dendritic cell-based immunotherapy. Cancer Res. 2001;61(5):2062–2070. 86. Zeid NA, Muller HK. S100 positive dendritic cells in human lung tumors associated with cell differentiation and enhanced survival. Pathology. 1993;25(4):338–343. 87. Germain C, Gnjatic S, Tamzalit F, et al. Presence of B cells in tertiary lymphoid structures is associated with a protective immunity in patients with lung cancer. Am J Respir Crit Care Med. 2014;189(7):832–844. 88. Goc J, Germain C, Vo-Bourgais TK, et al. Dendritic cells in tumor-­ associated tertiary lymphoid structures signal a Th1 cytotoxic immune contexture and license the positive prognostic value of infiltrating CD8+ T cells. Cancer Res. 2014;74(3):705–715. 89. Kirk CJ, Hartigan-O’Connor D, Mule JJ. The dynamics of the T-cell antitumor response: chemokine-secreting dendritic cells can prime tumor-reactive T cells extranodally. Cancer Res. 2001;61(24): 8794–8802. 90. Banchereau J, Steinman RM. Dendritic cells and the control of immunity. Nature. 1998;392(6673):245–252. 91. Steinman RM, Hemmi H. Dendritic cells: translating innate to adaptive immunity. Curr Top Microbiol Immunol. 2006;311:17–58. 92. Cerundolo V, Hermans IF, Salio M. Dendritic cells: a journey from laboratory to clinic. Nat Immunol. 2004;5(1):7–10. 93. Nestle FO, Farkas A, Conrad C. Dendritic-cell-based therapeutic vaccination against cancer. Curr Opin Immunol. 2005;17(2):163–169. 94. Svane IM, Soot ML, Buus S, Johnsen HE. Clinical application of dendritic cells in cancer vaccination therapy. APMIS. 2003;111(7–8): 818–834. 95. Holtl L, Ramoner R, Zelle-Rieser C, et al. Allogeneic dendritic cell vaccination against metastatic renal cell carcinoma with or without cyclophosphamide. Cancer Immunol Immunother. 2005;54(7): 663–670. 96. Nestle FO, Alijagic S, Gilliet M, et al. Vaccination of melanoma patients with peptide- or tumor lysate-pulsed dendritic cells. Nat Med. 1998;4(3):328–332. 97. Redfern CH, Guthrie TH, Bessudo A, et al. Phase II trial of idiotype vaccination in previously treated patients with indolent non-Hodgkin’s lymphoma resulting in durable clinical responses. J Clin Oncol. 2006;24(19):3107–3112.

  References 98. Timmerman JM, Czerwinski DK, Davis TA, et al. Idiotype-pulsed dendritic cell vaccination for B-cell lymphoma: clinical and immune responses in 35 patients. Blood. 2002;99(5):1517–1526. 99. Morse MA, Clay TM, Hobeika AC, et al. Phase I study of immunization with dendritic cells modified with fowlpox encoding carcinoembryonic antigen and costimulatory molecules. Clin Cancer Res. 2005;11(8):3017–3024. 100. Kimura H, Iizasa T, Ishikawa A, et al. Prospective phase II study of post-surgical adjuvant chemo-immunotherapy using autologous dendritic cells and activated killer cells from tissue culture of tumordraining lymph nodes in primary lung cancer patients. Anticancer Res. 2008;28(2B):1229–1238. 101. Albert ML, Pearce SF, Francisco LM, et al. Immature dendritic cells phagocytose apoptotic cells via αvβ5 and CD36, and cross-present antigens to cytotoxic T lymphocytes. J Exp Med. 1998;188(7):1359– 1368. 102. Fields RC, Shimizu K, Mule JJ. Murine dendritic cells pulsed with whole tumor lysates mediate potent antitumor immune responses in vitro and in vivo. Proc Natl Acad Sci U S A. 1998;95(16):9482–9487. 103. Hsu FJ, Benike C, Fagnoni F, et al. Vaccination of patients with B-cell lymphoma using autologous antigen-pulsed dendritic cells. Nat Med. 1996;2(1):52–58. 104. Boczkowski D, Nair SK, Nam JH, Lyerly HK, Gilboa E. Induction of tumor immunity and cytotoxic T lymphocyte responses using dendritic cells transfected with messenger RNA amplified from tumor cells. Cancer Res. 2000;60(4):1028–1034. 105. Miller PW, Sharma S, Stolina M, et al. Intratumoral administration of adenoviral interleukin 7 gene-modified dendritic cells augments specific antitumor immunity and achieves tumor eradication. Hum Gene Ther. 2000;11(1):53–65. 106. Wan Y, Bramson J, Carter R, Graham F, Gauldie J. Dendritic cells transduced with an adenoviral vector encoding a model tumor-associated antigen for tumor vaccination. Hum Gene Ther. 1997;8(11):1355–1363. 107. Lundqvist A, Choudhury A, Nagata T, et al. Recombinant adenovirus vector activates and protects human monocyte-derived dendritic cells from apoptosis. Hum Gene Ther. 2002;13(13):1541–1549. 108. Song W, Tong Y, Carpenter H, Kong HL, Crystal RG. Persistent, antigen-specific, therapeutic antitumor immunity by dendritic cells genetically modified with an adenoviral vector to express a model tumor antigen. Gene Ther. 2000;7(24):2080–2086. 109. Basak SK, Kiertscher SM, Harui A, Roth MD. Modifying adenoviral vectors for use as gene-based cancer vaccines. Viral Immunol. 2004;17(2):182–196. 110. Hromas R, Kim CH, Klemsz M, et al. Isolation and characterization of Exodus-2, a novel C-C chemokine with a unique 37-amino acid carboxyl-terminal extension. J Immunol. 1997;159(6):2554–2558. 111. Riedl K, Baratelli F, Batra RK, et al. Overexpression of CCL-21/ secondary lymphoid tissue chemokine in human dendritic cells augments chemotactic activities for lymphocytes and antigen presenting cells. Mol Cancer. 2003;2:35. 112. Yang SC, Batra RK, Hillinger S, et al. Intrapulmonary administration of CCL21 gene-modified dendritic cells reduces tumor burden in spontaneous murine bronchoalveolar cell carcinoma. Cancer Res. 2006;66(6):3205–3213. 113. Yang SC, Hillinger S, Riedl K, et al. Intratumoral administration of dendritic cells overexpressing CCL21 generates systemic antitumor responses and confers tumor immunity. Clin Cancer Res. 2004;10(8):2891–2901. 114. Arenberg DA, Zlotnick A, Strom SR, Burdick MD, Strieter RM. The murine CC chemokine, 6C-kine, inhibits tumor growth and angiogenesis in a human lung cancer SCID mouse model. Cancer Immunol Immunother. 2001;49(11):587–592. 115. Vicari AP, Ait-Yahia S, Chemin K, Mueller A, Zlotnik A, Caux C. Antitumor effects of the mouse chemokine 6Ckine/SLC through angiostatic and immunological mechanisms. J Immunol. 2000;165(4):1992–2000. 116. Lee JM, Lee MH, Garon EB, et al. Society for Immunotherapy of Cancer (SITC) Annual Meeting. Maryland: National Harbor; 2016. 117. Lee G, Walser TC, Dubinett SM. Chronic inflammation, chronic obstructive pulmonary disease, and lung cancer. Curr Opin Pulm Med. 2009;15(4):303–307. 118. Heinrich EL, Walser TC, Krysan K, et al. The inflammatory tumor microenvironment, epithelial mesenchymal transition and lung carcinogenesis. Cancer Microenviron. 2012;5(1):5–18. 119. Walser T, Cui X, Yanagawa J, et al. Smoking and lung cancer: the role of inflammation. Proc Am Thorac Soc. 2008;5(8):811–815.

128.e3

120. Cho WC, Kwan CK, Yau S, So PP, Poon PC, Au JS. The role of inflammation in the pathogenesis of lung cancer. Expert Opin Ther Targets. 2011;15(9):1127–1137. 121. Smith KA. Interleukin-2: inception, impact, and implications. Science. 1988;240(4856):1169–1176. 122. Gougeon ML, Chiodi F. Impact of gamma-chain cytokines on T cell homeostasis in HIV-1 infection: therapeutic implications. J Intern Med. 2010;267(5):502–514. 123. Jin GH, Hirano T, Murakami M. Combination treatment with IL-2 and anti-IL-2 mAbs reduces tumor metastasis via NK cell activation. Int Immunol. 2008;20(6):783–789. 124. Krieg C, Letourneau S, Pantaleo G, Boyman O. Improved IL-2 immunotherapy by selective stimulation of IL-2 receptors on lymphocytes and endothelial cells. Proc Natl Acad Sci USA. 2010;107(26):11906–11911. 125. Gillies SD, Lan Y, Hettmann T, et al. A low-toxicity IL-2-based immunocytokine retains antitumor activity despite its high degree of IL-2 receptor selectivity. Clin Cancer Res. 2011;17(11):3673–3685. 126. Chen HY, Li SG, Cho WC, Zhang ZJ. The role of acupoint stimulation as an adjunct therapy for lung cancer: a systematic review and meta-analysis. BMC Complement Altern Med. 2013;13:362. 127. Zarogoulidis P, Yarmus L, Darwiche K, et al. Interleukin-6 cytokine: a multifunctional glycoprotein for cancer. Immunome Res. 2013;9(62):16535. 128. Bayliss TJ, Smith JT, Schuster M, Dragnev KH, Rigas JR. A humanized anti-IL-6 antibody (ALD518) in non-small cell lung cancer. Expert Opin Biol Ther. 2011;11(12):1663–1668. 129. Blobe GC, Schiemann WP, Lodish HF. Role of transforming growth factor beta in human disease. N Engl J Med. 2000;342(18):1350– 1358. 130. Aoyama D, Hashimoto N, Sakamoto K, et al. Involvement of TGFbeta-induced phosphorylation of the PTEN C-terminus on TGFbeta-induced acquisition of malignant phenotypes in lung cancer cells. PLoS One. 2013;8(11):e81133. 131. Ohshio Y, Teramoto K, Hashimoto M, Kitamura S, Hanaoka J, Kontani K. Inhibition of transforming growth factor-beta release from tumor cells reduces their motility associated with epithelialmesenchymal transition. Oncol Rep. 2013;30(2):1000–1006. 132. Cho WC, Chow AS, Au JS. Restoration of tumour suppressor hsamiR-145 inhibits cancer cell growth in lung adenocarcinoma patients with epidermal growth factor receptor mutation. Eur J Cancer. 2009;45(12):2197–2206. 133. Donatelli SS, Zhou JM, Gilvary DL, et al. TGF-beta-inducible microRNA-183 silences tumor-associated natural killer cells. Proc Natl Acad Sci USA. 2014;111(11):4203–4208. 134. Abulaiti A, Shintani Y, Funaki S, et al. Interaction between nonsmall-cell lung cancer cells and fibroblasts via enhancement of TGF-beta signaling by IL-6. Lung Cancer. 2013;82(2):204–213. 135. Ooi AT, Gower AC, Zhang KX, et al. Molecular profiling of premalignant lesions in lung squamous cell carcinomas identifies mechanisms involved in stepwise carcinogenesis. Cancer Prev Res (Phila). 2014;7(5):487–495. 136. Perdomo C, Campbell JD, Gerrein J, et al. MicroRNA 4423 is a primate-specific regulator of airway epithelial cell differentiation and lung carcinogenesis. Proc Natl Acad Sci USA. 2013;110(47):18946–18951. 137. Dohadwala M, Yang SC, Luo J, et al. Cyclooxygenase-2-dependent regulation of E-cadherin: prostaglandin E(2) induces transcriptional repressors ZEB1 and snail in non-small cell lung cancer. Cancer Res. 2006;66(10):5338–5345. 138. Yanagawa J, Walser TC, Zhu LX, et al. Snail promotes CXCR2 ligand-dependent tumor progression in non-small cell lung carcinoma. Clin Cancer Res. 2009;15(22):6820–6829. 139. Grant JL, Fishbein MC, Hong LS, et al. A novel molecular pathway for snail-dependent, SPARC-mediated invasion in non-small cell lung cancer pathogenesis. Cancer Prev Res (Phila). 2014;7(1):150–160. 140. Sharma S, Stolina M, Yang SC, et al. Tumor cyclooxygenase 2-­dependent suppression of dendritic cell function. Clin Cancer Res. 2003;9(3):961–968. 141. Yang SC, Hillinger S, Riedl K, et al. Intratumoral administration of dendritic cells overexpressing CCL21 generates systemic antitumor responses and confers tumor immunity. Clin Cancer Res. 2004;10(8):2891–2901. 142. Yang SC, Batra RK, Hillinger S, et al. Intrapulmonary administration of CCL21 gene-modified dendritic cells reduces tumor burden in spontaneous murine bronchoalveolar cell carcinoma. Cancer Res. 2006;66(6):3205–3213.

14

128.e4

References

143. Almand B, Resser JR, Lindman B, et al. Clinical significance of defective dendritic cell differentiation in cancer. Clin Cancer Res. 2000;6(5):1755–1766. 144. Kurabayashi A, Furihata M, Matsumoto M, Hayashi H, Ohtsuki Y. Distribution of tumor-infiltrating dendritic cells in human non-small cell lung carcinoma in relation to apoptosis. Pathol Int. 2004;54(5): 302–310. 145. Akbay EA, Koyama S, Carretero J, et al. Activation of the PD-1 pathway contributes to immune escape in EGFR-driven lung tumors. Cancer Discov. 2013;3(12):1355–1363. 146. Marabelle A, Kohrt H, Caux C, Levy R. Intratumoral immunization: a new paradigm for cancer therapy. Clin Cancer Res. 2014;20(7):1747–1756. 147. Perez-Gracia JL, Labiano S, Rodriguez-Ruiz ME, Sanmamed MF, Melero I. Orchestrating immune check-point blockade for cancer immunotherapy in combinations. Curr Opin Immunol. 2014;27C: 89–97. 148. Kim YH, Gratzinger D, Harrison C, et al. In situ vaccination against mycosis fungoides by intratumoral injection of a TLR9 agonist combined with radiation: a phase 1/2 study. Blood. 2012;119(2): 355–363. 149. Le Mercier I, Poujol D, Sanlaville A, et al. Tumor promotion by intratumoral plasmacytoid dendritic cells is reversed by TLR7 ligand treatment. Cancer Res. 2013;73(15):4629–4640. 150. Li J, Song W, Czerwinski DK, et al. Lymphoma immunotherapy with CpG oligodeoxynucleotides requires TLR9 either in the host or in the tumor itself. J Immunol. 2007;179(4):2493–2500. 151. Brody JD, Ai WZ, Czerwinski DK, et al. In situ vaccination with a TLR9 agonist induces systemic lymphoma regression: a phase I/II study. J Clin Oncol. 2010;28(28):4324–4332. 152. Hodi FS, O’Day SJ, McDermott DF, et al. Improved survival with ipilimumab in patients with metastatic melanoma. N Engl J Med. 2010;363(8):711–723. 153. Robert C, Thomas L, Bondarenko I, et al. Ipilimumab plus dacarbazine for previously untreated metastatic melanoma. N Engl J Med. 2011;364(26):2517–2526. 154. Hamid O, Schmidt H, Nissan A, et al. A prospective phase II trial exploring the association between tumor microenvironment biomarkers and clinical activity of ipilimumab in advanced melanoma. J Transl Med. 2011;9:204. 155. Brahmer JR, Tykodi SS, Chow LQ, et al. Safety and activity of antiPD-L1 antibody in patients with advanced cancer. N Engl J Med. 2012;366(26):2455–2465. 156. Topalian SL, Hodi FS, Brahmer JR, et al. Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. N Engl J Med. 2012;366(26):2443–2454.

157. Brahmer J, Reckamp KL, Baas P, Crino L, Eberhardt WE, Poddubskaya E, et al. Nivolumab versus docetaxel in advanced squamous-cell non-small-cell lung cancer. N Engl J Med. 2015;373: 123–135. 158. Garon EB, Rizvi NA, Hui R, Leighl N, Balmanoukian AS, Eder JP, et al. Pembrolizumab for the treatment of non-small-cell lung cancer. N Engl J Med. 2015;372:2018–2028. 159. Gettinger SN, Horn L, Gandhi L, et al. Overall survival and longterm safety of nivolumab (Anti-Programmed Death 1 antibody, BMS-936558, ONO-4538) in patients with previously treated advanced non-small-cell lung cancer. J Clin Oncol. 2015;33:2004–2012. 160. Anagnostou VK, Brahmer JR. Cancer immunotherapy: a future paradigm shift in the treatment of non-small cell lung cancer. Clin Cancer Res. 2015;21:976–984. 161. Soria JC, Marabelle A, Brahmer JR, Gettinger S. Immune checkpoint modulation for non-small cell lung cancer. Clin Cancer Res. 2015;21:2256–2262. 162. Hugo W, Zaretsky JM, Sun L, et al. Genomic and transcriptomic features of response to anti-PD-1 therapy in metastatic nelanoma. Cell. 2016;165:35–44. 163. Snyder A, Makarov V, Merghoub T, et al. Genetic basis for clinical response to CTLA-4 blockade in melanoma. N Engl J Med. 2014;371:2189–2199. 164. Van Allen EM, Miao D, Schilling B, et al. Genomic correlates of response to CTLA-4 blockade in metastatic melanoma. Science. 2015;350:207–211. 165. McGranahan N, Furness AJ, Rosenthal R, et al. Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade. Science. 2016;351:1463–1469. 166. Chabanon RM, Pedrero M, Lefebvre C, Marabelle A, Soria JC, Postel-Vinay S. Mutational landscape and sensitivity to immune checkpoint blockers. Clin Cancer Res. 2016;22(17):4309–4321. 167. Casey SC, Tong L, Li Y, et al. MYC regulates the antitumor immune response through CD47 and PD-L1. Science. 2016;352:227–231. 168. Lee M, Yanagawa J, Walser T, et al. FRA1 contributes to ERK-­ mediated increased PD-L1 expression in KRAS mutated premalignant human bronchial epithelial cells. Proceedings of the 107th annual meeting of the American Association for Cancer Research. 2016 Apr 16–20. New Orleans, LA: AACR; 2016. p. Poster 8. 169. Rizvi NA, Hellmann MD, Snyder A, et al. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer. Science. 2015;348:124–128. 170. Cancer Genome Atlas Research Network. Comprehensive molecular profiling of lung adenocarcinoma. Nature. 2014;511:543–550.