Integrative analysis deciphers the heterogeneity of cancer-associated fibroblast and implications on clinical outcomes in ovarian cancers.
JournalComputational and structural biotechnology journal
MetadataShow full item record
AbstractAccumulating 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).
KeywordBRCA, Breast invasive carcinoma
CAFs, Cancer-associated fibroblasts
COAD, Colon adenocarcinoma
ESCA, Esophageal carcinoma
HGSOC, High-grade serous ovarian carcinoma
HNSC, Head and neck squamous cell carcinoma
LUAD, Lung adenocarcinoma
LUSC, Lung squamous cell carcinoma
OV, Ovarian serous cystadenocarcinoma
SKCM, Skin cutaneous melanoma
TCGA, The Cancer Genomics Atlas
THCA, Thyroid cancer
UCEC, Uterine corpus endometrial carcinoma
scRNA-seq, Single-cell RNA-sequencing
Identifier to cite or link to this itemhttp://hdl.handle.net/10713/20257
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