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Integrative analysis deciphers the heterogeneity of cancer-associated fibroblast and implications on clinical outcomes in ovarian cancers
Zhao, Yan1; Mei, Song2; Huang, Yixuan3; Chen, Junru4; Zhang, Xinlei3; Zhang, Peng5,6
2022-11-14
Source PublicationComputational and Structural Biotechnology Journal
ISSN2001-0370
Volume20Pages:6403-6411
Abstract

Accumulating evidence has recognized that cancer-associated fibroblasts (CAFs) are major players in the desmoplastic stroma of ovarian cancer, modulating tumor progression and therapeutic response. However, it is unclear regarding the signatures of CAFs could be utilized to predict the clinical outcomes of ovarian cancer patients. To fill in this gap, we explored the intratumoral compartment of ovarian cancer by analyzing the single-cell RNA-sequencing (scRNA-seq) datasets of ovarian carcinoma samples, and identified two distinct CAFs (tumor-promoting CAF_c1 subtype and myofibroblasts-like CAF_c2 subtype). The clinical significance of CAF subtypes was further validated in The Cancer Genomics Atlas (TCGA) database and other independent immunotherapy response datasets, and the results revealed that the patients with a higher expression of CAF_c1 signatures had a worse prognosis and showed a tendency of resistance to immunotherapy. This work uncovered the signatures of the CAF_c1 subtype that could serve as a novel prognostic indicator and predictive marker for immunotherapy.

KeywordBio-marker Cafs Gene Signature Immunotherapy Ovarian Cancer Prognosis Single-cell Sequencing
DOI10.1016/j.csbj.2022.11.025
URLView the original
Language英語English
Scopus ID2-s2.0-85142204455
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Document TypeJournal article
CollectionInstitute of Chinese Medical Sciences
Corresponding AuthorZhang, Peng
Affiliation1.Beijing Tongren Hospital, Capital Medical University and Beijing Institute of Otolaryngology, Beijing, China
2.Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
3.Beijing Cloudna Technology Co., Ltd., Beijing, China
4.Institute of Chinese Medical Sciences, University of Macau, Macau, China
5.Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
6.University of Maryland School of Medicine, Baltimore, United States
Recommended Citation
GB/T 7714
Zhao, Yan,Mei, Song,Huang, Yixuan,et al. Integrative analysis deciphers the heterogeneity of cancer-associated fibroblast and implications on clinical outcomes in ovarian cancers[J]. Computational and Structural Biotechnology Journal, 2022, 20, 6403-6411.
APA Zhao, Yan., Mei, Song., Huang, Yixuan., Chen, Junru., Zhang, Xinlei., & Zhang, Peng (2022). Integrative analysis deciphers the heterogeneity of cancer-associated fibroblast and implications on clinical outcomes in ovarian cancers. Computational and Structural Biotechnology Journal, 20, 6403-6411.
MLA Zhao, Yan,et al."Integrative analysis deciphers the heterogeneity of cancer-associated fibroblast and implications on clinical outcomes in ovarian cancers".Computational and Structural Biotechnology Journal 20(2022):6403-6411.
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