ReviewGynecologic oncology2010
Current state of biomarker development for clinical application in epithelial ovarian cancer.
Review in Gynecologic oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Adverse events associated with complementary and alternative medicine use in ovarian cancer patients.Integrative cancer therapies · 2013Pooled it
- Serum levels of the ovarian cancer biomarker HE4 are decreased in pregnancy and increase with age.American journal of obstetrics and gynecology · 2012Pooled it
- Integration of serological markers with O-RADS ultrasound risk stratification achieves high diagnostic accuracy for early ovarian cancer: development and validation of an interpretable model.American journal of cancer research · 2026Article
- Diagnostic Value of CA-125 and Other Tumor Biomarkers in Children with Suspected Malignancy: A Retrospective Cohort Study.Diagnostics (Basel, Switzerland) · 2025Article
- Peritoneal cavity-derived small extracellular vesicles from aged tumor-naïve hosts promote ovarian cancer adhesion and invasion.Cell communication and signaling : CCS · 2025Article
- Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer.Scientific reports · 2023Article
- A label-free dual immunosensor for the simultaneous electrochemical determination of CA125 and HE4 biomarkers for the early diagnosis of ovarian cancer.Analytical and bioanalytical chemistry · 2023Article
- Article
- Copenhagen index (CPH-I) is more favorable than CA125, HE4, and risk of ovarian malignancy algorithm (ROMA): Nomogram prediction models with clinical-ultrasonographic feature for diagnosing ovarian neoplasms.Frontiers in surgery · 2022Article
- miR-6086 inhibits ovarian cancer angiogenesis by downregulating the OC2/VEGFA/EGFL6 axis.Cell death & disease · 2020Article
- Long noncoding RNA MAGI1-IT1 promoted invasion and metastasis of epithelial ovarian cancer via the miR-200a/ZEB axis.Cell cycle (Georgetown, Tex.) · 2019Article
- Can Presurgical Ultrasound Predict Survival in Women With Ovarian Masses?Ultrasound quarterly · 2019Article
- Epigenetic Biomarkers in the Management of Ovarian Cancer: Current Prospectives.Frontiers in cell and developmental biology · 2019Review
- Article
- Genomic markers of ovarian adenocarcinoma and its relevancy to the effectiveness of chemotherapy.Oncology letters · 2017Article
- Role of Galectin-3 Combined with Multi- Detector Contrast Enhanced Computed Tomography in Predicting Disease Recurrence in Patients with Ovarian CancerAsian Pacific journal of cancer prevention : APJCP · 2017Article
- Ultrasound Monitoring of Extant Adnexal Masses in the Era of Type 1 and Type 2 Ovarian Cancers: Lessons Learned From Ovarian Cancer Screening Trials.Diagnostics (Basel, Switzerland) · 2017Review
- Prolactin Receptor-Mediated Internalization of Imaging Agents Detects Epithelial Ovarian Cancer with Enhanced Sensitivity and Specificity.Cancer research · 2017Article
- The C-terminus of IGFBP-5 suppresses tumor growth by inhibiting angiogenesis.Scientific reports · 2016Article
- Article
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
Each year in the United States over 15,000 women die of epithelial ovarian cancer (EOC) and 22,000 are diagnosed with the disease. The incidence of ovarian cancer has remained stable over the past decade however, survival rates have improved steadily. Increases in survival rates can be attributed to the advances in surgical management, development of effective cytotoxic drugs and the route of administration of chemotherapy. Ovarian cancer survival rates could also be improved through screening and early detection. Disappointingly, effective screening methods have not been established and continue to be elusive. Historically the goal of a screening test was to achieve a positive predictive value (PPV) greater than 10% in order be considered cost effective and have an acceptable risk for the population being screened. Despite the inability of currently available screening algorithms to achieve the desired PPV there may be an advantage in producing a stage migration to lower stages at the time of diagnoses, thereby resulting in improved survival. Equally important recent studies have demonstrated that women who have their initial surgery performed by gynecologic oncologists, and women who have their surgeries at centers experienced in the treatment of ovarian cancer have higher survival rates. For these reasons it is essential that all women at high risk for ovarian cancer receive their initial care by gynecologic oncologists and at centers with multidisciplinary teams experienced in the optimal care of ovarian cancer patients. With this in mind, methods that facilitate the accurate triage of women who will ultimately be diagnosed with ovarian cancer could play a significant role in improving survival rates for these patients. This review article will examine the current state of biomarker use in ovarian cancer screening, risk assessment and for monitoring ovarian cancer patients.
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.