ArticleCancer cell international2023
Clinical significance and immune infiltration analyses of a novel coagulation-related signature in ovarian cancer.
Article in Cancer cell international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Integrated Bulk and Single-Cell Transcriptomics Reveals the C3-C3AR1 Axis as a Candidate Mediator of Coagulome-Immune Crosstalk in Osteosarcoma.Biomedicines · 2026Article
- Thrombosis-related gene signature predicts prostate cancer recurrence and immune therapy: insights from retrospective cohorts, bioinformatics, and experimental validation.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Construction and validation of a preoperative malignancy risk prediction model for ovarian-adnexal masses based on clinical and ultrasonographic features.Frontiers in medicine · 2026Article
- Molecular Insights into Cell-Mediated Immunity in Atypical Non-Ulcerated Cutaneous Leishmaniasis.Microorganisms · 2025Article
- A new risk algorithm combining D-dimer and HE4 differentiates borderline tumor from patients with ovarian tumor.Translational cancer research · 2025Article
- Kinases Associated with Herpes Zoster Virus Infection Unveiled by Phosphoromics Profiling.Infection and drug resistance · 2025Article
- Prediction of Immunotherapy Response and Prognostic Outcomes for Patients With Ovarian Cancer Using PANoptosis-Related Genes.Human mutation · 2025Article
- Coagulation-related genes for thyroid cancer prognosis, immune infltration, staging, and drug sensitivity.Frontiers in immunology · 2024Article
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Authors and funding
11 authors.
Funding
Abstract
Ovarian cancer (OV) is the most lethal gynecological malignancies worldwide. The coagulation cascade could induce tumor cell infiltration and contribute to OV progression. However, coagulation-related gene (CRG) signature for OV prognosis hasn't been determined yet. In this study, we evaluated the prognostic value of coagulation scores through receiver operating characteristics (ROC) analysis and K-M curves, among OV patients at our institution. Based on the transcriptome data of TCGA-OV cohort, we stratified two coagulation-related subtypes with distinct differences in prognosis and tumor immune microenvironment (p < 0.05). Moreover, from the 6406 differentially-expressed genes (DEGs) between the GTEx (n = 180) and TCGA-OV cohorts (n = 376), we identified 138 potential CRGs. Through LASSO-Cox algorithm, we finally distinguished a 3-gene signature (SERPINA10, CD38, and ZBTB16), with promising prognostic ability in both TCGA (p < 0.001) and ICGC cohorts (p = 0.040). Stepwise, we constructed a nomogram based on the clinical features and coagulation-related signature for overall survival prediction, with the C-index of 0.6761, which was evaluated by calibration curves. Especially, based on tissue microarrays analysis, Quantitative real-time fluorescence PCR (qRT-PCR), and Western Blot, we found that aberrant upregulation of CRGs was related to poor prognosis in OV at both mRNA and protein level (p < 0.05). Collectively, the coagulation-related signature was a robust prognostic biomarker, which could provide therapeutic benefits for chemotherapy/immunotherapy and assist clinical decision in OV patients.
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