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Next Generation Sequencing Transcriptomes of breast cancer. Homo sapiens

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NIAID Data Ecosystem2026-03-08 收录
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https://www.ncbi.nlm.nih.gov/bioproject/PRJNA292118
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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.
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2015-08-03
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