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腭部黏液表皮样癌的预后因素:一项基于双中心研究的回顾性分析。

Prognostic factors of palatal mucoepidermoid carcinoma: a retrospective analysis based on a double-center study.

机构信息

Department of Oral and Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, No 30 Zhongyang Road, Nanjing, P.R. China.

Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, No 30 Zhongyang Road, Nanjing, P.R. China.

出版信息

Sci Rep. 2017 Mar 6;7:43907. doi: 10.1038/srep43907.

Abstract

Mucoepidermoid carcinoma (MEC) of the palate is a common malignancy of minor salivary glands. This study was designed to identify the prognostic factors for MEC of the palate. The medical records of patients diagnosed with MEC of the palate who visited the Department of Oral and Maxillofacial Surgery at Nanjing Stomatological Hospital and the Department of Stomatology at Central Hospital of Xuzhou were retrospectively studied. The prognostic factors were determined using a Cox proportional hazards model. Furthermore, the expression of cancer stem cell (CSC) markers CD44, CD133, Nanog and Sox2 were detected in neoplastic samples of these patients by immunohistochemistry. As a result, both univariate analysis and multivariate analysis proved a high histological grade and an advanced tumor stage as negative prognostic factors for overall survival. By immunohistochemistry staining and survival analysis, a combination of CD44/CD133/SOX2 was found to have the strongest prognostic value for palatal MEC patients. In conclusion, the proposed nomogram which include histological grade and tumor stage along with cancer stem cell markers provides a more accurate long-term prediction for palatal MEC patients.

摘要

腭黏液表皮样癌(MEC)是一种常见的小唾液腺癌。本研究旨在确定腭 MEC 的预后因素。回顾性研究了南京口腔医院口腔颌面外科和徐州中心医院口腔科诊断为腭 MEC 的患者的病历。使用 Cox 比例风险模型确定预后因素。此外,通过免疫组织化学检测这些患者肿瘤样本中癌症干细胞(CSC)标志物 CD44、CD133、Nanog 和 Sox2 的表达。结果表明,单因素分析和多因素分析均证实高组织学分级和晚期肿瘤分期是总生存的负预后因素。通过免疫组织化学染色和生存分析,发现 CD44/CD133/SOX2 的组合对腭 MEC 患者具有最强的预后价值。总之,包含组织学分级和肿瘤分期以及癌症干细胞标志物的列线图为腭 MEC 患者提供了更准确的长期预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1c8/5338264/6abaed23d0dd/srep43907-f1.jpg

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