ReviewGynecologic oncology2016
Metabolic risk factors and mechanisms of disease in epithelial ovarian cancer: A review.
Review in Gynecologic oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- The effects of obesity on surgical complications and postoperative prognosis of epithelial ovarian cancer: a meta-analysis.BMC surgery · 2025Pooled it
- Ovarian cancer in Asia: incidence, mortality in 2022, and future projections to 2050.BMC public health · 2026Article
- A Novel Insight into the Role of Obesity-Related Adipokines in Ovarian Cancer-State-of-the-Art Review and Future Perspectives.International journal of molecular sciences · 2025Review
- Body fatness across the adult life course and ovarian cancer risk.European journal of epidemiology · 2024Article
- Hepatitis B virus infection and the risk of gynecologic cancers: a systematic review and meta-analysis.Discover oncology · 2024Article
- Trends in the Disease Burden and Risk Factors of Women's Cancers in China From 1990 to 2019.International journal of public health · 2024Article
- Is there any difference in insulin resistance status between cases of benign and malignant ovarian neoplasms? A study on surrogate markers of insulin resistance in Indonesian non-diabetic women.Oncology letters · 2023Article
- Etiopathogenesis of ovarian cancer. An inflamm-aging entity?Gynecologic oncology reports · 2022Review
- Metabolic risk factors of ovarian cancer: a review.JBRA assisted reproduction · 2022Review
- Identification of key genes associated with polycystic ovary syndrome (PCOS) and ovarian cancer using an integrated bioinformatics analysis.Journal of ovarian research · 2022Article
- The miR-33a-5p/CROT axis mediates ovarian cancer cell behaviors and chemoresistanceFrontiers in endocrinology · 2022Article
- Potential Role of Diabetes Mellitus-Associated T Cell Senescence in Epithelial Ovarian Cancer Omental Metastasis.Life (Basel, Switzerland) · 2021Review
- A multidisciplinary approach remains the best strategy to improve and strengthen the management of ovarian cancer (Review).International journal of oncology · 2021Review
- Comorbidities and inflammation associated with ovarian cancer and its influence on SARS-CoV-2 infection.Journal of ovarian research · 2021Review
- Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.Journal of ovarian research · 2020Article
- Ovarian cancer risk factors by tumor aggressiveness: An analysis from the Ovarian Cancer Cohort Consortium.International journal of cancer · 2019Article
- Anticancer Activity of Metformin, an Antidiabetic Drug, Against Ovarian Cancer Cells Involves Inhibition of Cysteine-Rich 61 (Cyr61)/Akt/Mammalian Target of Rapamycin (mTOR) Signaling Pathway.Medical science monitor : international medical journal of experimental and clinical research · 2018Article
- Familial Ovarian Cancer Clusters with Other Cancers.Scientific reports · 2018Article
- One-Carbon Metabolism: Biological Players in Epithelial Ovarian Cancer.International journal of molecular sciences · 2018Review
- Gynaecological cancers and leptin: A focus on the endometrium and ovary.Facts, views & vision in ObGyn · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
objectiveEpithelial ovarian cancer continues to be the deadliest gynecologic malignancy. Patients with both diabetes mellitus and obesity have poorer outcomes, yet research correlating metabolic abnormalities, such as metabolic syndrome, to ovarian cancer risk and outcomes is lacking. This article reviews the literature regarding metabolic derangements and their relationship to epithelial ovarian cancer, with a focus on potential mechanisms behind these associations.
methodsPubMed and Google Scholar were searched for articles in the English language regarding epithelial ovarian cancer, obesity, diabetes mellitus, and metabolic syndrome, with a focus on studies conducted since 1990.
resultsObesity, type II diabetes mellitus, and metabolic syndrome have been associated with poor outcomes in epithelial ovarian cancer. More studies investigating the relationship between metabolic syndrome and epithelial ovarian cancer are needed. A variety of pathologic factors may contribute to cancer risk in patients with metabolic derangements, including altered adipokine and cytokine expression, altered immune responses to tumor cells, and changes in pro-tumorigenic signaling pathways.
conclusionMore research is needed to examine the effects of metabolic syndrome on epithelial ovarian cancer risk and mortality, as well as the underlying pathophysiologies in patients with obesity, diabetes mellitus, and metabolic syndrome that may be targeted for therapeutic intervention.
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.