ArticleBreast cancer research and treatment2021
Cancer stem cell transcriptome landscape reveals biomarkers driving breast carcinoma heterogeneity.
Article in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- A breast cancer classification and immune landscape analysis based on cancer stem-cell-related risk panel.NPJ precision oncology · 2023Article
- BCSCdb: a database of biomarkers of cancer stem cells.Database : the journal of biological databases and curation · 2022Article
- Article
- Evaluation of cfDNA as an early detection assay for dense tissue breast cancer.Scientific reports · 2022Article
- Transcriptome profiles of stem-like cells from primary breast cancers allow identification of ITGA7 as a predictive marker of chemotherapy response.British journal of cancer · 2021Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundBreast carcinomas are heterogeneous diseases with distinct clinical outcomes and cancer stem cell (CSC) percentages. Exploring breast carcinoma stem cell landscape could help understand the heterogeneity of such cancers with profound clinical relevance.
methodsWe conducted transcriptional profiling of CSCs and non-stem cancer cells isolated from three triple-negative breast carcinoma cell lines, analyzed the CSC transcriptome landscape that drives breast carcinoma heterogeneity through differentially expressed gene identification, gene ontology (GO) and pathway enrichment analyses as well as network construction, and experimentally validated the network hub gene.
resultsWe identified a CSC feature panel consisting of 122 and 381 over-represented and under-expressed genes capable of differentiating breast carcinoma subtypes. We also underpinned the prominent roles of the PI3K-AKT pathway in empowering carcinoma cells with uncontrolled proliferative and migrative abilities that ultimately foster cancer stemness, and revealed the potential promotive roles of ATP6V1B1 on breast carcinoma stemness through functional in vitro studies.
conclusionsOur study contributes in identifying a CSC feature panel for breast carcinomas that drives breast carcinoma heterogeneity at the transcriptional level, which provides a reservoir for diagnostic marker and/or therapeutic target identification once experimentally validated as demonstrated by ATP6V1B1.
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