ReviewCancers2025
Advanced Therapeutic Approaches for Metastatic Ovarian Cancer.
Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between hospital volume and outcomes in ovarian cancer: a systematic review.Frontiers in surgery · 2025Pooled it
- Deciphering the Dysregulated Pathways and Candidate Therapeutic Compounds for Primary Ovarian Cancer Using Whole Transcriptomics Data and Next Generation Knowledge Discovery Strategies.Journal of cellular and molecular medicine · 2026Article
- Novel approaches to modulate CAR-T cell function by targeting the tumor microenvironment in ovarian cancer.Journal of ovarian research · 2026Review
- RLIP depletion suppresses ovarian cancer growth and metastasis.Journal of ovarian research · 2026Article
- Enhancing PARP inhibitor efficacy in ovarian cancer: targeting the PI3K/AKT/mTOR pathway.Journal of ovarian research · 2025Review
- Loss of Zonula Occludens-1 (ZO-1) Enhances Angiogenic Signaling in Ovarian Cancer Cells.International journal of molecular sciences · 2025Article
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.
Funding
Abstract
Ovarian cancer is the fifth leading cause of cancer-related death among women, which is one of the most common gynecological cancers worldwide. Although several cytoreductive surgeries and chemotherapies have been attempted to address ovarian cancer, the disease still shows poor prognosis and survival rates due to prevalent metastasis. Peritoneal metastasis is recognized as the primary route of metastatic progression in ovarian cancer. It causes severe symptoms in patients, but it is generally difficult to detect at an early stage. Current anti-cancer therapy is insufficient to completely treat metastatic ovarian cancer due to its high rates of recurrence and resistance. Therefore, developing strategies for treating metastatic ovarian cancer requires a deeper understanding of the tumor microenvironment (TME) and the identification of effective therapeutic targets through precision oncology. Given that various signaling pathways, including TGF-β, NF-κB, and PI3K/AKT/mTOR pathways, influence cancer progression, their activity and significance can vary depending on the cancer type. In ovarian cancer, these pathways are particularly important, as they not only drive tumor progression but also impact the TME, which contributes to the metastatic potential. The TME plays a critical role in driving metastatic features in ovarian cancer through altered immunologic interactions. Recent therapeutic advances have focused on targeting these distinct features to improve treatment outcomes. Deciphering the complex interaction between signaling pathways and immune populations contributing to metastatic ovarian cancer provides an opportunity to enhance anti-cancer efficacy. Hereby, this review highlights the mechanisms of signaling pathways in metastatic ovarian cancer and immunological interactions to understand improved immunotherapy against ovarian cancer.
Indexed as
Identifiers
What Socratic 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 Socratic graph.