ReviewNature reviews. Cancer2022
Immunobiology of high-grade serous ovarian cancer: lessons for clinical translation.
Review in Nature reviews. Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers, 1 of them a synthesis that pooled it.
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
135 citing papers in PubMed, 1 synthesis or guideline pooled it, 172 citations in OpenAlex.
- The Impact of Neoadjuvant Chemotherapy on Ovarian Cancer Tumor Microenvironment: A Systematic Review of the Literature.International journal of molecular sciences · 2024Pooled it
- Durvalumab and cediranib with and without olaparib in recurrent ovarian cancer: a phase II proof-of-concept study.Nature communications · 2026Trial
- Comparing Durvalumab, Olaparib, and Cediranib Monotherapy, Combination Therapy, or Chemotherapy in Patients with Platinum-Resistant Ovarian Cancer with Prior Bevacizumab: The Phase II NRG-GY023 Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Trial
- Neo-adjuvant pembrolizumab in stage IV high-grade serous ovarian cancer: the phase II Neo-Pembro trial.Nature communications · 2025Trial
- Enhancing ovarian cancer immunotherapy through TAGLN2-modified CAR-T cells.Genes & diseases · 2027Article
- The FAP × CD3 bispecific antibody OMTX305 induces T cell-mediated antitumor effects in patient-derived ex vivo models of solid tumors.Science advances · 2026Article
- CDK12/13 inhibition overcomes platinum resistance by impairing RNA metabolism.Signal transduction and targeted therapy · 2026Article
- PiggyBac-Engineered Membrane-Bound IL7 TILs Combined with Anti-PD-1 Antibody Demonstrates Efficacy in Recurrent Ovarian Cancer: A First-in-Human Phase I Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Article
- A tumor profiling resource for ovarian cancer: insights into chemotherapy-driven heterogeneity and personalized treatment strategy.Nature communications · 2026Article
- Advances in immunotherapies in ovarian cancer.Journal for immunotherapy of cancer · 2026Review
- Beyond PD-1/PD-L1: Reprogramming the Gynecologic Tumor Microenvironment by Targeting TIGIT and Myeloid Suppression.International journal of molecular sciences · 2026Review
- Genetic mutations in primary and metastatic tumors of a rare mixed neuroendocrine carcinoma and high-grade serous ovarian cancer.Medical molecular morphology · 2026Article
- Polyelectrolyte nanoparticles enable intracellular delivery of STING protein fragments for ovarian cancer immunotherapy.Materials today. Bio · 2026Article
- Identifying Ovarian Cancer-Associated EV mRNA Expression Profiles Using Unsupervised Machine Learning and Non-Negative Matrix Factorization.Bioengineering (Basel, Switzerland) · 2026Article
- A convergent uPAR-positive tumor ecosystem creates broad vulnerability to CAR T cell therapy.Cell · 2026Article
- Multi-armored mesenchymal stem cells potentiate antitumor immunity to combat ovarian cancer.Stem cell research & therapy · 2026Article
- NKG2A inhibition promotes NK cell-CD8Nature communications · 2026Article
- Ascites circRNA ASCOR Drives Platinum Resistance of High-Grade Serous Ovarian Cancer by Facilitating RPA1 Nuclear Translocation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- FAK inhibition in ovarian cancer releases omega-3 fatty acids to program CXCL13-producing anti-tumor resident peritoneal macrophages.Cell reports · 2026Article
75 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Treatment of high-grade serous ovarian cancer (HGSOC) remains challenging. Although HGSOC can potentially be responsive to immunotherapy owing to endogenous immunity at the molecular or T cell level, immunotherapy for this disease has fallen short of expectations to date. This Review proposes a working classification for HGSOC based on the presence or absence of intraepithelial T cells, and elaborates the putative mechanisms that give rise to such immunophenotypes. These differences might explain the failures of existing immunotherapies, and suggest that rational therapeutic approaches tailored to each immunophenotype might meet with improved success. In T cell-inflamed tumours, treatment could focus on mobilizing pre-existing immunity and strengthening the activation of T cells embedded in intraepithelial tumour myeloid niches. Conversely, in immune-excluded and immune-desert tumours, treatment could focus on restoring inflammation by reprogramming myeloid cells, stromal cells and vascular epithelial cells. Poly(ADP-ribose) polymerase (PARP) inhibitors, low-dose radiotherapy, epigenetic drugs and anti-angiogenesis therapy are among the tools available to restore T cell infiltration in HGSOC tumours and could be implemented in combination with vaccines and redirected T cells.
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.