配對腫瘤-正常樣本的轉錄響應譜為泛癌癥分析提供了新的視角

2017年4月，北京基礎醫學研究所；軍事醫學科學院附屬醫院；307-常青藤轉化醫學中心腫瘤實驗室干細胞轉化醫學中心；南京軍區福州總醫院婦產科；吉林大學**附屬醫院胃腸外科(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老師研究團隊在《Oncotarget》上發表論文：

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

“配對腫瘤-正常樣本的轉錄響應譜為泛癌癥分析提供了新的視角”

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：

腫瘤和鄰近的正常組織在癌癥研究中都很有價值。轉錄反應譜代表配對腫瘤和鄰近正常組織之間基因表達水平的變化。在這項研究中，我們基于13種癌癥類型的633個樣本的轉錄反應譜進行了泛癌癥分析。我們得到了兩個有趣的結果。利用共識聚類方法，我們對10個具有不同轉錄反應模式和豐富通路的聚類進行了表征。值得注意的是，頭頸部鱗狀細胞癌分為兩個亞型，分別富集細胞周期相關通路和細胞粘附相關通路。另一個有趣的結果是，我們確定了92個潛在的泛癌基因，這些基因在多種癌癥類型中持續上調。FAM64A或TROAP基因的敲低抑制了癌細胞的生長，提示這些基因可能促進腫瘤的發展，值得進一步驗證。我們的研究結果表明，配對腫瘤-正常組織的轉錄反應譜可以為泛癌癥分析提供新的視角。

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