Next Generation Sequencing Transcriptomes of breast cancer

We performed high throughput transcriptome of breast cancer and normal tissues, identifying lincRNA associated molecular subtype with powerful capacity to distinct breast cancer population and predict prognosis. We also identified subtype-specific lincRNAs that may be a useful complement to intrinsic molecular subtype classification when divergence emerges among pathologists.Paired-end transcriptome sequencing were carried out on a cohort of 33 breast tissues from 11 groups including five breast cancer subtypes including luminal A (LA), luminal B (HER2 negative)(LB, HER2-), luminal B (HER2 positive) (LB, HER2+), HER2 and tripple negative breast cancer (TNB), adjacent noncancerous breast tissue (ANT, three samples for each subtype) and the complete normal breast tissues (three samples) Overall design: Examination of transcriptomes in 15 breast cancer and 18 normal tissues.

本研究对乳腺癌及正常乳腺组织开展高通量转录组测序，鉴定出与基因间长链非编码RNA（long intergenic non-coding RNA，lincRNA）相关的乳腺癌分子亚型，该亚型具备优异的区分乳腺癌患者人群与预测预后的能力。本研究同时鉴定出了亚型特异性lincRNA，当病理学家间出现诊断分歧时，这类RNA可作为固有分子亚型分类的有效补充。
本研究对来自11组共33份乳腺组织样本开展双端转录组测序，样本涵盖5种乳腺癌亚型：腔面A型（luminal A，LA）、腔面B型（HER2阴性）（luminal B (HER2 negative)，LB, HER2-）、腔面B型（HER2阳性）（luminal B (HER2 positive)，LB, HER2+）、HER2型及三阴性乳腺癌（triple negative breast cancer，TNB），另包含癌旁正常乳腺组织（adjacent noncancerous breast tissue，ANT，每个亚型3份样本）以及全正常乳腺组织（共3份样本）。
整体实验设计：对15份乳腺癌组织与18份正常乳腺组织的转录组进行检测分析。