Transcriptomics

Dataset Information

0

Basal epithelial subpopulations underlie and predict chemotherapy resistance in Triple-Negative Breast Cancer


ABSTRACT: Triple-Negative Breast Cancer (TNBC) is the most aggressive breast cancer subtype, characterized by extensive intratumoral heterogeneity, high metastasis and chemoresistance, leading to poor clinical outcomes. Despite progress, the mechanistic basis of these aggressive behaviours remains poorly understood. Using single-cell and spatial transcriptome analysis, here we discovered basal epithelial subpopulations located within the stroma that exhibit chemoresistance characteristics. The subpopulations are defined by distinct signature genes that show a frequent gain in copy number and exhibit an activated epithelial-to-mesenchymal transition program. A subset of these genes can accurately predict chemotherapy response and are associated with poor prognosis. Interestingly, among these genes, elevated ITGB1 participates in enhancing intercellular signaling while ACTN1 confers a survival advantage to foster chemoresistance. Furthermore, by subjecting the transcriptional signatures to drug repurposing analysis we find that chemoresistant tumors may benefit from distinct inhibitors in treatment naïve versus post-NAC patients. These findings shed light on the mechanistic basis of chemoresistance while providing the best-in-class biomarker to predict chemotherapy response and alternate therapeutic avenues for improved management of TNBC patients resistant to chemotherapy.

ORGANISM(S): Homo sapiens

PROVIDER: GSE252315 | GEO | 2024/01/05

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2022-05-31 | MTBLS4709 | MetaboLights
2022-05-31 | GSE201051 | GEO
2022-05-31 | GSE201052 | GEO
2020-02-25 | E-MTAB-8787 | biostudies-arrayexpress
2022-10-18 | GSE139129 | GEO
2023-01-01 | GSE216413 | GEO
2019-04-01 | GSE120268 | GEO
2019-11-30 | GSE138233 | GEO
2021-11-28 | GSE174692 | GEO
2020-12-17 | GSE139826 | GEO