ArticleBioscience reports2020
Identification of three molecular subtypes based on immune infiltration in ovarian cancer and its prognostic value.
Article in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 21 citations in OpenAlex.
- Single-cell RNA sequencing in ovarian cancer: decoding the tumor microenvironment for personalized therapy.Journal of ovarian research · 2026Review
- Multi-compartment immune cell profiling highlights the prognostic relevance of CD127+ CD8+ T cells for patients with high-grade serous ovarian cancer.Frontiers in immunology · 2025Article
- PICALM as a Novel Prognostic Biomarker and Its Correlation with Immune Infiltration in Breast Cancer.Applied biochemistry and biotechnology · 2024Article
- Characteristics of the immune environment in prostate cancer as an adjunct to immunotherapy.Health science reports · 2024Article
- High Tumor-Infiltrating Lymphocyte Count Is Associated with Distinct Gene Expression Profile and Longer Patient Survival in Advanced Ovarian Cancer.International journal of molecular sciences · 2023Article
- A novel CD8Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023Article
- Peripheral and tumor-infiltrating immune cells are correlated with patient outcomes in ovarian cancer.Cancer medicine · 2023Article
- Distinct tumor microenvironment landscapes of rectal cancer for prognosis and prediction of immunotherapy response.Cellular oncology (Dordrecht, Netherlands) · 2022Article
- A signature of immune-related gene pairs (IRGPs) for risk stratification and prognosis of oral cancer patients.World journal of surgical oncology · 2022Article
- Review
- A Multiomics Profiling Based on Online Database Revealed Prognostic Biomarkers of BLCA.BioMed research international · 2022Article
- A Follow-Up Study of Ovarian Cancer (OOPS): A Study Protocol.Frontiers in nutrition · 2022Article
- Comprehensive Analysis of the Prognostic Signature of Mutation-Derived Genome Instability-Related lncRNAs for Patients With Endometrial Cancer.Frontiers in cell and developmental biology · 2022Article
- Prognostic Value and Therapeutic Potential of CBX Family Members in Ovarian Cancer.Frontiers in cell and developmental biology · 2022Article
- Transcriptome-based stemness indices analysis reveals platinum-based chemo-theraputic response indicators in advanced-stage serous ovarian cancer.Bioengineered · 2021Article
- Tumor Immune Microenvironment Related Gene-Based Model to Predict Prognosis and Response to Compounds in Ovarian Cancer.Frontiers in oncology · 2021Article
- Shaping Immune Responses in the Tumor Microenvironment of Ovarian Cancer.Frontiers in immunology · 2021Review
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIncreasing studies suggest that tumor immune infiltration is a relative factor of prognosis in ovarian cancer (OvCa). The present study explored the composition of tumor-infiltrating immune cells (TIICs) in OvCa using CIBERSORT algorithm and further assessed their values for prognosis and therapeutic strategies by molecular subtypes.
methodsPublicly available databases including The Cancer Genome Atlas (TCGA) and GTEx were searched. Ovarian tumor samples were available from TCGA, and normal ovarian samples were obtained from the GTEx dataset. The relative proportions of immune cell profiling in OvCa and normal samples were evaluated by CIBERSORT algorithm. Association between each immune cell subtype and survival was inferred by the fractions of 22 immune cell types. "CancerSubtypes" R-package was employed to identify the three types of molecular classification and analyze the functional enrichment in each subclass. Response to immunotherapy and anticancer drug targets was predicted via TIDE algorithm and GDSC dataset.
resultsSubstantial variation reflecting individual difference was identified between cancer and normal tissues in the immune infiltration profiles. T cells CD4 memory activated, macrophages M1 were associated with improved overall survival (OS) as evaluated by univariate Cox regression and multivariate Cox. Three subtypes were identified by ´CancerSubtypes' R-package and every sub-cluster possessed specific immune cell characterization. Meanwhile, Cluster II exhibited poor prognosis and sensitive response to immunotherapy.
conclusionsThe cellular component of immune infiltration shows remarkable variation in OvCa. Profiling of immune infiltration is useful in prediction of prognosis of OvCa. The results from profiling might be considered in therapeutic modulation.
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