Integrative analysis deciphers the heterogeneity of cancer-associated fibroblast and implications on clinical outcomes in ovarian cancers.
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2022-11-14Journal
Computational and structural biotechnology journalType
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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.Rights/Terms
© 2022 The Author(s).Keyword
BRCA, Breast invasive carcinomaBio-marker
CAFs
CAFs, Cancer-associated fibroblasts
COAD, Colon adenocarcinoma
ESCA, Esophageal carcinoma
Gene signature
HGSOC, High-grade serous ovarian carcinoma
HNSC, Head and neck squamous cell carcinoma
Immunotherapy
LUAD, Lung adenocarcinoma
LUSC, Lung squamous cell carcinoma
OV, Ovarian serous cystadenocarcinoma
Ovarian cancer
Prognosis
SKCM, Skin cutaneous melanoma
Single-cell sequencing
TCGA, The Cancer Genomics Atlas
THCA, Thyroid cancer
UCEC, Uterine corpus endometrial carcinoma
scRNA-seq, Single-cell RNA-sequencing
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http://hdl.handle.net/10713/20257ae974a485f413a2113503eed53cd6c53
10.1016/j.csbj.2022.11.025
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