Internal validation cohort of breast cancers for development of ClinicoMolecular Triad Classification. Homo sapiens

In our early study (PMID: 21939527), we have created a ClinicoMolecular Triad Classification (CMTC) to improve prediction and prognostication of breast cancer by using a training cohort contained 161 breast cancer patients (2003 to 2008). Here, a supplemental internal validation cohort contained 340 breast cancer patients was collected (2008 to 2010) for development of the CMTC. Overall design: Total 340 fine-needle aspirates (FNA) specimens from breast tumors without replicate were collected and prepared for microarray examination. Finally, 284 invasive breast cancers were used in this study. The training dataset of 161 breast tumors can be found at GEO Accession: GSE16987.

在我们的早期研究（PMID: 21939527）中，我们构建了临床分子三联分类法（ClinicoMolecular Triad Classification, CMTC），以提升乳腺癌的预测与预后评估效能，该模型基于2003年至2008年收录的161例乳腺癌患者组成的训练队列开发。本研究同时收集了2008年至2010年的340例乳腺癌患者，组建补充内部验证队列以用于CMTC的开发。研究设计概述：共收集340份无重复采样的乳腺肿瘤细针穿刺抽吸物（fine-needle aspirates, FNA）标本，经制备后用于基因芯片（microarray）检测。最终本研究纳入284例浸润性乳腺癌病例。161例乳腺癌肿瘤的训练数据集可在基因表达综合数据库（Gene Expression Omnibus, GEO）登录号GSE16987中获取。