ReviewCancers2023
New Achievements from Molecular Biology and Treatment Options for Refractory/Relapsed Ovarian Cancer-A Systematic Review.
Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 13 citations in OpenAlex.
- Suvemcitug plus chemotherapy in women with platinum-resistant recurrent ovarian cancer: the SCORES randomized, double-blinded, phase 3 trial.Nature cancer · 2026Trial
- Oncogenic EGFR Signaling as a Central Regulator of Chemoresistance in Ovarian Cancer: A Mechanistic Review.International journal of molecular sciences · 2026Review
- Immunocyte senescence: A new perspective on the remodeling of the ovarian cancer microenvironment and therapeutic intervention.Journal of pharmaceutical analysis · 2026Review
- Outcomes of Pediatric and Adolescent Girls with Malignant Ovarian Germ Cell Tumors after Chemotherapy and Surgery: A Single Institutional Experience.Journal of cancer & allied specialties · 2026Article
- Influence of Pre-treatment CA 125 Levels on Survival Outcomes Across Ethnic Groups in Ovarian Cancer Patients.Journal of community hospital internal medicine perspectives · 2026Article
- Correlation Between Histopathology and Chemotherapy Response in Epithelial Ovarian Tumors.Cureus · 2026Article
- Integrative transcriptomic analysis of Korean high-grade serous ovarian cancer.PLoS genetics · 2025Article
- Distinctive features of blood- and ascitic fluid-derived extracellular vesicles in ovarian cancer patients.Molecular medicine (Cambridge, Mass.) · 2025Article
- How to differentiate primary mucinous ovarian tumors from ovarian metastases originating from primary appendiceal mucinous neoplasms: a review.Pathology oncology research : POR · 2025Review
- Targeted therapy in high grade serous ovarian Cancer: A literature review.Gynecologic oncology reports · 2024Review
- Interplay between altered metabolism and DNA damage and repair in ovarian cancer.BioEssays : news and reviews in molecular, cellular and developmental biology · 2024Review
- The Integrated Bioinformatic Approach Reveals the Prognostic Significance of LRP1 Expression in Ovarian Cancer.International journal of molecular sciences · 2024Article
- Proteomics and Bioinformatics Investigations Link Overexpression of FGF8 and Associated Hub Genes to the Progression of Ovarian Cancer and Poor Prognosis.Biochemistry research international · 2024Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ovarian cancer (OC) has a high rate of mortality and is the fifth most common cause of death in females all over the world. The etiology is still unclear. Numerous factors such as smoking, obesity, and unhealthy diet may affect the risk of OC. Having a family history of breast and OC is one of the main risks for developing OC. Mutations of BRCA1/2 are associated with OC risk as well. The histopathological classification of OC reveals the four most common types: serous, clear cell, endometrioid, and mucinous; these are epithelial OC types, and other types are rare. Furthermore, OC can be subdivided into types I and II. Type I tumors are most probably caused by atypical proliferative tumors. Type II tumors include high-grade carcinoma of the serous type, carcinosarcoma, and carcinoma, which are not differentiated and generally originate from tubal intraepithelial carcinoma of the serous type. Typically, type I tumors are present in early stages, usually with good prognosis. Type II tumors are classified as high-grade tumors and are most often diagnosed at advanced FIGO stages with poor prognosis. High-grade serous OC accounts for 90% of serous OC. Tumor heterogeneity aggravates OC treatment. The standard care for primary epithelial ovarian cancer (EOC) is cytoreductive surgery followed by platinum-based chemotherapy. Neoadjuvant chemotherapy can be used in certain cases followed by cytoreductive surgery. The main prognostic factor is complete tumor resection. However, about 70% of patients relapse. Resistance to chemotherapeutic agents remains a major challenge in EOC treatment, in which many different factors are involved. In recent years, the examination of molecular parameters and their prognostic impact has become increasingly relevant in EOC, and furthermore, the use of immunotherapy has expanded the therapeutic range. As the clinical need is greatest for relapsed patients, this systematic review will focus on recent advances in molecular biology with prognostic and predictive markers and treatment options for recurrent/refractory OC. Inclusion criteria for the review: potential prospective or predictive biomarkers in preclinical or clinical use in relapsed and refractory OC, prognostic impact, clinical and preclinical trials, and immunotherapy. Exclusion criteria for the review: primary OC, no full text or abstract available, not the topic mentioned above, and text not available in English. Risk of bias: the included studies were evaluated descriptively for the topics mentioned above, and data were not compared with each other. The objective is to highlight the molecular mechanisms of the most promising targeted agents under clinical investigation to demonstrate their potential relevance in recurrent/refractory OC.
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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.