ReviewCancer management and research2022
Towards Personalized Management of Ovarian Cancer.
Review in Cancer management and research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses 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
11 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Emerging nanotechnologies and their role in early ovarian cancer detection, diagnosis and interventions.Journal of ovarian research · 2025Pooled it
- The impact of varying levels of residual disease following cytoreductive surgery on survival outcomes in patients with ovarian cancer: a meta-analysis.BMC women's health · 2024Pooled it
- Clinicopathological and functional evaluation of replication protein A in epithelial ovarian cancers: A target validation study.Translational oncology · 2026Article
- Mirvetuximab Soravtansine: Mechanism of Action, Clinical and Translational Science.Clinical and translational science · 2026Review
- Vascular endothelial generating factor pathway in ovarian cancer.Journal of ovarian research · 2025Review
- Development of macrophage M2 relate signature for predicting prognosis and immunotherapy response in ovarian cancer.Discover oncology · 2025Article
- Long Non-Coding RNAs in Ovarian Cancer: Mechanistic Insights and Clinical Applications.Cancers · 2025Review
- The Clinicopathological Significance of the Cyclin D1/E1-Cyclin-Dependent Kinase (CDK2/4/6)-Retinoblastoma (RB1/pRB1) Pathway in Epithelial Ovarian Cancers.International journal of molecular sciences · 2024Article
- Platinum desensitization therapy and its impact on the prognosis of ovary high-grade serous adenocarcinoma: a real world-data.Frontiers in immunology · 2024Article
- Novel immune-related gene signature for risk stratification and prognosis prediction in ovarian cancer.Journal of ovarian research · 2023Article
- Recent Insight about HE4 Role in Ovarian Cancer Oncogenesis.International journal of molecular sciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite advances in surgery and chemotherapy, the overall outcomes for patients with advanced ovarian cancer remain poor. Although initial response rates to platinum-based chemotherapy is about 60-80%, most patients will have recurrence and succumb to the disease. However, a DNA repair-directed precision medicine strategy has recently generated real hope in improving survival. The clinical development of PARP inhibitors has transformed lives for many patients with BRCA germline-deficient and/or platinum-sensitive epithelial ovarian cancers. Antiangiogenic agents and intraperitoneal chemotherapy approaches may also improve outcomes in patients. Moreover, evolving immunotherapeutic opportunities could also positively impact patient outcomes. Here we review the current clinical state of PARP inhibitors and other clinically viable targeted approaches in ovarian cancer.
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.