ReviewFrontiers in oncology2025
Recent therapeutic advances in gynecologic oncology: evolving roles of immunotherapy, antibody-drug conjugates, and clinical trial innovations.
Review in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 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
2 citing papers in PubMed.
- Beyond PD-1/PD-L1: Reprogramming the Gynecologic Tumor Microenvironment by Targeting TIGIT and Myeloid Suppression.International journal of molecular sciences · 2026Review
- Article
Corrections and comments
- Erratum issued
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and objectives: Gynecologic cancers, including cervical, endometrial, and ovarian malignancies, remain among the leading causes of cancer-related illness and death in women worldwide. Despite progress in surgery and chemotherapy, resistance to conventional cytotoxic drugs continues to limit durable outcomes. The introduction of immune checkpoint inhibitors (ICIs) and antibody-drug conjugates (ADCs) has created new therapeutic opportunities by improving survival and overcoming resistance mechanisms. This review summarizes the latest clinical evidence on immunotherapy and ADC-based regimens, emphasizing their integration into current treatment strategies and the expanding roles of genomic profiling and artificial intelligence (AI) in personalized therapy. Materials and methods: Recent findings from major clinical trials such as RUBY, NRG-GY018, DUO-O, SORAYA, and DESTINY-PanTumor02 were evaluated along with updated FDA and NCCN recommendations. The analysis focuses on treatments that have demonstrated clinical benefit in advanced or recurrent disease, including pembrolizumab, dostarlimab, tisotumab vedotin, and mirvetuximab soravtansine. Combination strategies incorporating PARP inhibitors, antiangiogenic agents, and immune checkpoint blockade were also reviewed. Results: Checkpoint inhibitors have achieved meaningful clinical benefits in patients with advanced or recurrent endometrial and cervical cancers, particularly in those with mismatch repair deficiency or PD-L1 expression. ADCs directed against tissue factor (TF) and folate receptor alpha have shown effectiveness in platinum-resistant cervical and ovarian cancers. Combination regimens that include ICIs, PARP inhibitors, or antiangiogenic therapy are yielding encouraging results in both first-line and maintenance settings. Advances in molecular profiling and biomarker-based patient selection, supported by AI applications, are further improving treatment precision in gynecologic oncology. Conclusions: Immunotherapy and ADCs represent major advances in the treatment of gynecologic cancers. Their growing integration into clinical practice has reshaped therapeutic approaches, while ongoing research continues to refine optimal combinations, address resistance, and enhance biomarker-guided selection. Future developments are expected to unite immunologic, genomic, and computational strategies to achieve personalized and durable outcomes for patients with gynecologic malignancies.
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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 Socratic graph.