Unknown

Dataset Information

0

Longitudinal single-cell RNA-seq analysis reveals stress-promoted chemoresistance in metastatic ovarian cancer.


ABSTRACT: Chemotherapy resistance is a critical contributor to cancer mortality and thus an urgent unmet challenge in oncology. To characterize chemotherapy resistance processes in high-grade serous ovarian cancer, we prospectively collected tissue samples before and after chemotherapy and analyzed their transcriptomic profiles at a single-cell resolution. After removing patient-specific signals by a novel analysis approach, PRIMUS, we found a consistent increase in stress-associated cell state during chemotherapy, which was validated by RNA in situ hybridization and bulk RNA sequencing. The stress-associated state exists before chemotherapy, is subclonally enriched during the treatment, and associates with poor progression-free survival. Co-occurrence with an inflammatory cancer-associated fibroblast subtype in tumors implies that chemotherapy is associated with stress response in both cancer cells and stroma, driving a paracrine feed-forward loop. In summary, we have found a resistant state that integrates stromal signaling and subclonal evolution and offers targets to overcome chemotherapy resistance.

SUBMITTER: Zhang K 

PROVIDER: S-EPMC8865800 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications


Chemotherapy resistance is a critical contributor to cancer mortality and thus an urgent unmet challenge in oncology. To characterize chemotherapy resistance processes in high-grade serous ovarian cancer, we prospectively collected tissue samples before and after chemotherapy and analyzed their transcriptomic profiles at a single-cell resolution. After removing patient-specific signals by a novel analysis approach, PRIMUS, we found a consistent increase in stress-associated cell state during che  ...[more]

Similar Datasets

2021-12-24 | GSE165897 | GEO
| PRJNA698554 | ENA
| EGAS00001005010 | EGA
| S-EPMC5782816 | biostudies-literature
| S-EPMC9354882 | biostudies-literature
| S-EPMC5480621 | biostudies-literature
| S-EPMC4944528 | biostudies-literature
| S-EPMC11651652 | biostudies-literature
| S-EPMC8590695 | biostudies-literature
| S-EPMC7806779 | biostudies-literature