配对肿瘤-正常样本的转录响应谱为泛癌症分析提供了新的视角

2017年4月，北京基础医学研究所；军事医学科学院附属医院；307-常青藤转化医学中心肿瘤实验室干细胞转化医学中心；南京军区福州总医院妇产科；吉林大学**附属医院胃肠外科(Beijing Institute of Basic Medical Sciences, Beijing 100850, China；Translational Medicine Center of Stem Cells, 307-Ivy Translational Medicine Center, Laboratory of Oncology, Affiliated；Hospital, Academy of Military Medical Sciences, Beijing 100071, China；Department of Obstetrics and Gynecology, Fuzhou General Hospital of Nanjing Military Command, Fujian 350025, China；Department of Gastrointestinal Surgery, The First Affiliated Hospital of Jilin University, Changchun 130021, China) Xiaomin Ying老师研究团队在《Oncotarget》上发表论文：

“Transcriptional response profiles of paired tumor-normal samples offer novel perspectives in pan-cancer analysis”

“配对肿瘤-正常样本的转录响应谱为泛癌症分析提供了新的视角”

Abstract：

Both tumor and adjacent normal tissues are valuable in cancer research. Transcriptional response profiles represent the changes of gene expression levels between paired tumor and adjacent normal tissues. In this study, we performed a pan-cancer analysis based on the transcriptional response profiles from 633 samples across 13 cancer types. We obtained two interesting results. Using consensus clustering method, we characterized ten clusters with distinct transcriptional response patterns and enriched pathways. Notably, head and neck squamous cell carcinoma was divided in two subtypes, enriched in cell cycle-related pathways and cell adhesion-related pathways respectively. The other interesting result is that we identified 92 potential pan-cancer genes that were consistently upregulated across multiple cancer types. Knockdown of FAM64A or TROAP inhibited the growth of cancer cells, suggesting that these genes may promote tumor development and are worthy of further validations. Our results suggest that transcriptional response profiles of paired tumor-normal tissues can provide novel perspectives in pan-cancer analysis.

摘要：

肿瘤和邻近的正常组织在癌症研究中都很有价值。转录反应谱代表配对肿瘤和邻近正常组织之间基因表达水平的变化。在这项研究中，我们基于13种癌症类型的633个样本的转录反应谱进行了泛癌症分析。我们得到了两个有趣的结果。利用共识聚类方法，我们对10个具有不同转录反应模式和丰富通路的聚类进行了表征。值得注意的是，头颈部鳞状细胞癌分为两个亚型，分别富集细胞周期相关通路和细胞粘附相关通路。另一个有趣的结果是，我们确定了92个潜在的泛癌基因，这些基因在多种癌症类型中持续上调。FAM64A或TROAP基因的敲低抑制了癌细胞的生长，提示这些基因可能促进肿瘤的发展，值得进一步验证。我们的研究结果表明，配对肿瘤-正常组织的转录反应谱可以为泛癌症分析提供新的视角。

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