Observational studyAging2020
Immune profiling reveals prognostic genes in high-grade serous ovarian cancer.
Observational study in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 22 citations in OpenAlex.
- Cross-assay RNA modeling reveals cancer biomarkers.bioRxiv : the preprint server for biology · 2026Article
- Immune cell landscapes are associated with high-grade serous ovarian cancer survival.Scientific reports · 2024Article
- ETV7 promotes colorectal cancer progression through upregulation of IFIT3.Functional & integrative genomics · 2024Article
- Function and mechanism of GBP1 in the development and progression of cervical cancer.Journal of translational medicine · 2024Article
- Construction of Metastasis-Specific Regulation Network in Ovarian Cancer Based on Prognostic Stemness-Related Signatures.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- Impacts of vitrification on the transcriptome of human ovarian tissue in patients with gynecological cancer.Frontiers in genetics · 2023Article
- Review
- A novel 4 immune-related genes as diagnostic markers and correlated with immune infiltrates in major depressive disorder.BMC immunology · 2022Article
- Identification of Novel Immunologic Checkpoint Gene Prognostic Markers for Ovarian Cancer.Journal of oncology · 2022Article
- Adaptive transcriptomic and immune infiltrate responses in the tumor immune microenvironment following neoadjuvant chemotherapy in high grade serous ovarian cancer reveal novel prognostic associations and activation of pro-tumorigenic pathways.Frontiers in immunology · 2022Article
- Gene Expression Subtyping Reveals Immune alterations:TCGA Database for Prognosis in Ovarian Serous Cystadenocarcinoma.Frontiers in molecular biosciences · 2021Article
- Immune Modeling Analysis Reveals Immunologic Signatures Associated With Improved Outcomes in High Grade Serous Ovarian Cancer.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-grade serous ovarian cancer (HGSOC) is a heterogeneous disease with diverse clinical outcomes, highlighting a need for prognostic biomarker identification. Here, we combined tumor microenvironment (TME) scores with HGSOC characteristics to identify immune-related prognostic genes through analysis of gene expression profiles and clinical patient data from The Cancer Genome Atlas and the International Cancer Genome Consortium public cohorts. We found that high TME scores (TMEscores) based on the fractions of immune cell types correlated with better overall survival. Furthermore, differential expression analysis revealed 329 differentially expressed genes between patients with high vs. low TMEscores. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed that these genes participated mainly in immune-related functions and, among them, 48 TME-related genes predicted overall survival in HGSOC. Seven of those genes were associated with prognosis in an independent HGSOC database. Finally, the two genes with the lowest
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.