ArticleFrontiers in oncology2021
Immune Modeling Analysis Reveals Immunologic Signatures Associated With Improved Outcomes in High Grade Serous Ovarian Cancer.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- CTLA-4 Blockade Combined with PD-1/PD-L1 Inhibition Enhances Cytokine Production and T-Cell Activation in Ex Vivo Ovarian Cancer Cultures.International journal of molecular sciences · 2026Article
- Association of Tissue Expression of LAG-3 and TIM-3 with Clinical Features in Ovarian Cancer.International journal of molecular sciences · 2025Article
- 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
- A patient stratification signature mirrors the immunogenic potential of high grade serous ovarian cancers.Journal of translational medicine · 2024Article
- The Nectin family ligands, PVRL2 and PVR, in cancer immunology and immunotherapy.Frontiers in immunology · 2024Review
- Article
- The Role of TIM-3 and LAG-3 in the Microenvironment and Immunotherapy of Ovarian Cancer.Biomedicines · 2022Review
- Neoadjuvant Therapy Induces a Potent Immune Response to Sarcoma, Dominated by Myeloid and B Cells.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022Article
- Review
- 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
- Integration of local and systemic immunity in ovarian cancer: Implications for immunotherapy.Frontiers in immunology · 2022Review
- Comprehensive analysis of prognosis-related alternative splicing events in ovarian cancer.RNA biology · 2022Article
- CD4+ T cell and M2 macrophage infiltration predict dedifferentiated liposarcoma patient outcomes.Journal for immunotherapy of cancer · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
Epithelial ovarian cancer (EOC) is the most lethal gynecologic malignancy worldwide, as patients are typically diagnosed at a late stage and eventually develop chemoresistant disease following front-line platinum-taxane based therapy. Only modest results have been achieved with PD-1 based immunotherapy in ovarian cancer patients, despite the fact that immunological responses are observed in EOC patients. Therefore, the goal of this present study was to identify novel immune response genes and cell subsets significantly associated with improved high grade serous ovarian cancer (HGSOC) patient prognosis. A transcriptomic-based immune modeling analysis was employed to determine levels of 8 immune cell subsets, 10 immune escape genes, and 22 co-inhibitory/co-stimulatory molecules in 26 HGSOC tumors. Multidimensional immune profiling analysis revealed CTLA-4, LAG-3, and T
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.