ReviewBiomedicines2025
Immunotherapy in Recurrent Ovarian Cancer.
Review in Biomedicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Combination therapy for platinum-resistant ovarian cancer: a novel at-home regimen with envafolimab, lenvatinib, and etoposide.The oncologist · 2025Trial
- A Scoping Review of the Challenges and Future Perspectives in the Use of Alpha-Emitters for Metastatic Ovarian Cancer.Molecules (Basel, Switzerland) · 2026Article
- Genetic and Molecular Determinants of Immunotherapy Response in Recurrent Ovarian Cancer.Anti-cancer agents in medicinal chemistry · 2026Review
- Sensitivity of Platinum-Based Chemotherapy and Efficacy of Arsenic Trioxide-Based Non-Platinum Chemotherapy Following the Progression of PARPi Maintenance Therapy: A Real-World Study.Cancer medicine · 2025Article
- Treatment of ovarian cancer: From the past to the new era (Review).Oncology letters · 2025Review
- Management of Advanced Ovarian Cancer: Current Clinical Practice and Future Perspectives.Biomedicines · 2025Review
- The dual nature of immunotherapy in female reproductive disorders: immune homeostasis and clinical challenges.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
BACKGROUND/
objectivesIt remains challenging to treat recurrent ovarian cancer effectively as traditional interventions like chemotherapy and surgery have limited long-term efficacy, highlighting an urgent need for innovative approaches. Immunotherapy offers potential advantages in modulating the immune response against tumor cells and has emerged as a promising strategy in ovarian cancer management. This review discusses various immunotherapy modalities, including active and passive immune strategies, for recurrent ovarian cancer.
methodsWe systematically reviewed recent immunotherapy advances for recurrent ovarian cancer, including the efficacy and mechanisms of single and dual immune checkpoint inhibitors, checkpoint inhibitor combinations with chemotherapy or radiotherapy, anti-angiogenic agents, PARP inhibitors, antibody-drug conjugates (ADC), tumor vaccines, and adoptive cell therapies (ACT). Additionally, we assessed emerging research on biomarkers predictive of immunotherapy responsiveness in ovarian cancer.
resultsThe findings indicate that immunotherapy, particularly combinations involving immune checkpoint inhibitors and other agents, demonstrates promising efficacy in recurrent ovarian cancer, with some therapies showing enhanced benefits in specific subtypes. The immune microenvironment in platinum-sensitive and -resistant cases exhibits distinct immunological profiles, influencing therapy outcomes. Several potential biomarkers have been identified, potentially aiding in patient stratification and treatment optimization.
conclusionsImmunotherapy significantly advances recurrent ovarian cancer treatment, with various combinations potentially improving outcomes. Further research on predictive biomarkers and immune microenvironment characteristics is crucial for personalizing immunotherapy approaches and enhancing their efficacy in managing recurrent ovarian cancer.
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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.