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一种新型肿瘤组织起源分子标志物的建立与评价

Identification and validation of a novel gene expression signature for diagnosing tumor tissue origin
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摘要 背景与目的:原发灶不明恶性肿瘤是一类转移性肿瘤的统称,在诊断时无法找到原发位点,约占所有恶性肿瘤的5%~10%。明确肿瘤的组织起源对于患者的诊断和治疗具有重要意义。方法:整合Array Express和Gene Expression Omnibus数据库中肿瘤类型明确的样本数据,构建涵盖22种常见肿瘤类型、5 800例样本的基因表达谱数据库;通过支持向量机递归特征消除算法筛选组织特异性基因,建立肿瘤分类模型;采用实时定量聚合酶链反应(real-time quantitative polymerase chain reaction,RTQ-PCR)检测石蜡包埋肿瘤组织中基因的表达水平,并将基因分型结果与病理诊断结果进行比较。结果:基于肿瘤基因表达谱大数据,筛选出96个组织特异性基因,其中包含常见的肿瘤相关基因,如钙黏蛋白1(cadherin 1,CDH1)、激肽释放酶相关酶3(kallikreinrelated peptidase 3,KLK3)和表皮生长因子受体(epidermal growth factor receptor,EGFR)等。在206例石蜡包埋组织样本中,182例的基因分型结果与病理诊断结果一致,准确率达到88.4%(95%CI:83.2%~92.4%)。结论:96基因RTQ-PCR检测对22种常见肿瘤类型具有较好的分类性能,可作为临床和病理诊断的辅助工具。 Background and purpose: Cancer of unknown primary (CUP) represents approximately 5%~10% of malignant neoplasms. For CUP patients, identification of tumor origin allows for more specific therapeutic regimens and improves outcomes. Methods: By retrieving the gene expression data from ArrayExpress and Gene Expression Omnibus data repositories, we established a comprehensive gene expression database of 5 800 tumor samples encompassing 22 main tumor types. The support vector machine-recursive feature elimination algorithm was used for feature selection and classification modelling. We further optimized the RNA isolation and real-time quantitative polymerase chain reaction (RTQ-PCR) methods for candidate gene expression profiling and applied the RTQ-PCR assays to a set of formalin-fixed, paraffin-embedded tumor samples. Results: Based on the pan-cancer transcriptome database, we identified a list of 96-tumor specific genes, including common tumor markers, such as cadherin 1 (CDH1), kallikrein-related peptidase 3 (KLK3), and epidermal growth factor receptor (EGFR). Furthermore, we successfully translated the microarray-based gene expression signature to the RTQ-PCR assays, which allowed an overall success rate of 88.4% (95%CI: 83.2%-92.4%) in classifying 22 different tumor types of 206 formalin-fixed, paraffin-embedded samples. Conclusion: The 96-gene RTQ-PCR assay represents a useful tool for accurately identifying tumor origins. The assay uses RTQ-PCR and routine formalin-fixed, paraffin-embedded samples, making it suitable for rapid clinical adoption.
出处 《中国癌症杂志》 CAS CSCD 北大核心 2016年第10期801-812,共12页 China Oncology
关键词 原发灶不明恶性肿瘤 肿瘤组织起源 基因表达谱 实时定量聚合酶链反应 免疫组化 Cancer of unknown primary Tumor tissue origin Gene expression profiling Real-time quantitativepolymerase chain reaction Immunohistochemistry
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