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pmid:38585981
CD133 expression is associated with less DNA repair, better response to chemotherapy and survival in ER-positive/HER2-negative breast cancer.
Takumi Sato · Masanori Oshi · Jing Li Huang · Kohei Chida · Arya Mariam Roy · Itaru Endo · Kazuaki Takabe
Research square · 2024 doi:10.21203/rs.3.rs-4148608/v1
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Experiment
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Complete file
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However, the clinical relevance of CD133 expression in ER-positive/HER2-negative (ER+/HER2-) BC, the most abundant subtype, remains unknown.\nMethods: The BC cohorts from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC, n = 1904) and The Cancer Genome Atlas (TCGA, n = 1065) were used to obtain biological variables and gene expression data.\nResults: Epithelial cells were the exclusive source of CD133 gene expression in a bulk BC. CD133-high ER+/HER2- BC was associated with CD24, NOTCH1, DLL1, and ALDH1A1 gene expressions, as well as with WNT/β-Catenin, Hedgehog, and Notchsignaling pathways, all characteristic for CSC. Consistent with a CSC phenotype, CD133-low BC was enriched with gene sets related to cell proliferation, such as G2M Checkpoint, MYC Targets V1, E2F Targets, and Ki67 gene expression. CD133-low BC was also linked with enrichment of genes related to DNA repair, such as BRCA1, E2F1, E2F4, CDK1/2. On the other hand, CD133-high tumors had proinflammatory microenvironment, higher activity of immune cells, and higher expression of genes related to inflammation and immune response. Finally, CD133-high tumors had better pathological complete response after neoadjuvant chemotherapy in GSE25066 cohort and better disease-free survival and overall survival in both TCGA and METABRIC cohorts.\nConclusion: CD133-high ER+/HER2- BC was associated with CSC phenotype such as less cell proliferation and DNA repair, but also with enhanced inflammation, better response to neoadjuvant chemotherapy and better prognosis.", "claims": [{"id": "claim-method", "statement": "Survival analyses were performed using Kaplan-Meier plots with log-rank tests.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38585981", "locator": "sections[6] \"Statistical Analysis\" paragraph 2", "quote": "Survival analyses were performed using Kaplan-Meier plots with log-rank tests."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. 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"platform": "96", "taxon": "Homo sapiens", "title": "Genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer", "resolution_checked_at": "2026-11-01T15:39:54Z", "resolution_check": "identifier_resolution_only_no_download_no_licence_read", "downloaded": false, "licence_read": false}}, {"id": "data:geo:GSE32646", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE32646", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE32646", "version": null, "note": "Publicly available datasets were analyzed in this study. TCGA data can be found here: [https://www.cbioportal.org. /Breast Invasive Carcinoma (TCGA, PanCancer Atlas)]. METABRIC data can be found here: [https://www.cbioportal.org. / Breast Cancer (METABRIC, Nature 2012 & Nat Commun 2016)]. Data sets from each of the GEO databases can be downloaded from the following sites and access numbers: [https://www.ncbi.nlm.nih.gov/geo./GSE96058/GSE2034/GSE124647/GSE159956/GSE12276/GSE110590/GSE20194/GSE25066/GSE163882/ GSE20271].", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. TCGA data can be found here: [https://www.cbioportal.org. /Breast Invasive Carcinoma (TCGA, PanCancer Atlas)]. METABRIC data can be found here: [https://www.cbioportal.org. / Breast Cancer (METABRIC, Nature 2012 & Nat Commun 2016)]. 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