Case report: hepatocellular carcinoma first metastasis to the mandible

Case report: hepatocellular carcinoma first metastasis to the mandible

289 Analysis the expression of MIF, Beclin1 and LC3 in human salivary gland adenoid cystic carcinoma and its prognostic value C.X. Li ∗ , Z.C. Gong, Z...

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289 Analysis the expression of MIF, Beclin1 and LC3 in human salivary gland adenoid cystic carcinoma and its prognostic value C.X. Li ∗ , Z.C. Gong, Z.G. Lin, H. Liu Department of Oral and Maxillofacial Oncology Surgery, Stomatological Medical Center, The First Affiliated Hospital of Xinjiang Medical University, China Background: Adenoid cystic carcinoma (ACC) is an uncommon salivary gland malignancy with poor long-term prognosis. Clinical reports show the high rates of local recurrences and distant metastases. This study aimed to investigate the expression of MIF, Beclin1 and LC3 in ACC. Methods: Tissue specimens were obtained from 41 ACC and 15 squamous cell carcinoma (SCC) patients. Immunohistochemical staining was performed to estimate the level of LC3, Beclin1 and MIF. All patients of ACC were followed up from January 2003 to June 2015. The Kaplan Meier method was performed to compare the patients’ prognosis with different treatments. Results: The patients of 3-, 5- and 10-year survival rates for overall survival were 83.9%, 69.9%, and 46.6% respectively. In this study, we also found that the patients with solid histology or end-grade TNM showed higher level of MIF compared to LC3 and Beclin1. Conclusions: Our findings suggest the ACC patients’ long-term survival is poor. This study also suggests that MIF might be a risk factor for ACC patients, whereas LC3 and Beclin1 might be an effective strategy for treatment of ACC. http://dx.doi.org/10.1016/j.ijom.2017.02.972 Case report: hepatocellular carcinoma first metastasis to the mandible B.H.Y. Lin Department of Oral and Maxillofacial Surgery, Taichung China Medical University Hospital, Taichung, Chinese Taipei Background: The prognosis of metastatic hepatocellular carcinoma (HCC) is poor with a mean period of 6.1 months survival time after discovering the jaw metastasis. Objectives and Methods: A male with HCC (BCLC stage C) s/p TACE x6 in 2015. Head and Neck CT in 2016 showed a heterogeneous bone tumour at the left mandibular body involve roots with cortex destruction. Frozen biopsy was a metastatic HCC. Composite tumour wide excision and anterolateral thigh free flap with plate fixation were done on March 2016. Entecavir was prescribed for him and TACE x1 was done after operation. Findings: Positron emission tomography/computed tomography showed intense fluorodeoxyglucose (FDG) uptake in the left mandibular body (SUVmax: 4.59) and increased FDG uptake in the liver (SUVmax: 3.50), which proved his HCC first metastasis to his left mandibular body. Histopathology reported a metastatic HCC with all surgical margins free from tumour. Conclusions: This patient survived for seven months after operation so far. Only 42 cases of this kind of cases from 1940 to 2014 in English language literature review so far. It had been proposed that HCC cells first metastasis to mandible through the paravertebral

veins bypassing the pulmonary, inferior caval and portal venous circulation without pulmonary metastasis. http://dx.doi.org/10.1016/j.ijom.2017.02.973 Cervical lymph node density and distribution as prognosis predicting factors of oral squamous cell carcinoma C.J. Liu ∗ , Y.S. Lai Department of Oral and Maxillofacial Surgery, Mackey Memorial Hospital, Taipei, Chinese Taipei Background: Compared to traditional TNM staging system, further factors including lymph node density (LND) and extended levels of lymph node (LN) involvement may play more reliable roles of predicting outcomes. In this study, we analysed patients with oral squamous cell carcinoma (OSCC) to evaluate if LND or LN dissemination were related to prognosis. Methods: We examined OSCC patients who underwent tumour resection with neck dissection in Mackay Memorial Hospital. Univariate and multivariate analyses of clinicopathological characteristics including LND (the ratio of positive lymph nodes/total lymph nodes) and extension levels of positive LN distribution were performed for all patients and in positive nodes (pN+) patients. Results: Total 613 OSCC patients were enrolled for this analysis. Several significant factors related to prognosis on multivariate analysis including pathological T and N, DM, histological grade of differentiation and positive of perineural invasion (P < 0.05). pN+ patient with LND > 0.04 had significantly related to poor outcome compared to patients with LND ≤ 0.04 (P < 0.05) on univariate and multivariate Cox PH regression analysis. For evaluation of LN distribution, pN+ patients with LN metastasis involved to lower level of neck were found to have poor prognosis. Conclusions: The study suggested of the value of LND for predicting survival in patients with OSCC. Patients with lower neck LN metastasis were related to worse outcome. LN density and distribution positive LN may serve as guiding risk factors for further adjuvant treatment planning. http://dx.doi.org/10.1016/j.ijom.2017.02.974 Down-regulation of long non-coding RNA tissue differentiation-inducing non-protein coding RNA associated with metastasis and serves as a predictor in oral cancer X.Q. Liu, Z. Zhuang, J. Hu, P. Yu, N. Xie, C. Wang, J.S. Hou, H.Z. Huang ∗ Department of Oral Maxillofacial-Head and Neck Oncology, The Affiliated Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China Background: Recently long non-coding RNAs (lncRNAs) emerge as new gene regulators involving in tumourigenic processes. However, lncRNAs remain unknown in oral cancers (OCs). Objectives: This study aimed to determine whether lncRNAs play a role in OCs progression. Methods: The lncRNAs expression profiles in OC tissues and paired adjacent non-tumour tissues from 10 patients were detected by lncRNA microarrays. OCs-specific gene coexpression networks were constructed by differential expression analysis and weighted gene co-expression network analysis