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

Kaiyang Zhang(University of Helsinki), Erdoğan Pekcan Erkan(University of Helsinki), Sanaz Jamalzadeh(University of Helsinki), Jun Dai(University of Helsinki), Noora Andersson(University of Helsinki), Katja Kaipio(University of Turku), Tarja Lamminen(University of Turku), Naziha Mansuri(University of Turku), Kaisa Huhtinen(University of Turku), Olli Carpén(University of Helsinki), Sakari Hietanen(University of Turku), Jaana Oikkonen(University of Helsinki), Johanna Hynninen(University of Turku), Anni Virtanen(University of Helsinki), Antti Häkkinen(University of Helsinki), Sampsa Hautaniemi(University of Helsinki), Anna Vähärautio(University of Helsinki)
Science Advances
February 23, 2022
Cited by 203Open Access
Full Text

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.


Related Papers

No related papers found

Powered by citation graph analysis