ReviewHeliyon2019
Multi-biomarker panel signature as the key to diagnosis of ovarian cancer.
Review in Heliyon, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 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
61 citing papers in PubMed, 124 citations in OpenAlex.
- Blood Plasma Analysis in Ovarian Cancer Patients Using an AFM/MS Approach: Effect of Sample Dilution on Proteome Depth.International journal of molecular sciences · 2026Article
- Study on the expression level of folate receptor γ in thyroid cancer and its association with clinicopathological characteristics.Oncology letters · 2026Article
- Breast and ovarian cancers: toward a multi-cancer early detection test.Frontiers in immunology · 2026Article
- Ovarian Tumor Biomarkers: Correlation Between Tumor Type and Marker Expression, and Their Role in Guiding Therapeutic Strategies.International journal of molecular sciences · 2025Review
- Histone-based liquid biopsy discriminates between myelodysplastic syndrome and solid malignancies.Clinical epigenetics · 2025Article
- A Comprehensive Oncological Biomarker Framework Guiding Precision Medicine.Biomolecules · 2025Review
- A diagnostic scoring system for differentiating between benign and malignant cystic ovarian tumors, utilizing imaging features and biomarkers.Frontiers in medicine · 2025Article
- Bioinformatics-Driven Investigations of Signature Biomarkers for Triple-Negative Breast Cancer.Bioinformatics and biology insights · 2025Article
- Recent advances in surface plasmon resonance for the detection of ovarian cancer biomarkers: a thorough review.Mikrochimica acta · 2024Review
- Innovative approach towards early prediction of ovarian cancer: Machine learning- enabled XAI techniques.Heliyon · 2024Article
- Construction of an immune-related prognostic model and potential drugs screening for esophageal cancer based on bioinformatics analyses and network pharmacology.Immunity, inflammation and disease · 2024Article
- Sensitivity and Specificity of Selected Biomarkers and Their Combinations in the Diagnosis of Ovarian Cancer.Diagnostics (Basel, Switzerland) · 2024Review
- Biomarkers in Ovarian Cancer: Towards Personalized Medicine.Proteomes · 2024Review
- Mechanism exploration and biomarker identification of glycemic deterioration in patients with diseases of the exocrine pancreas.Scientific reports · 2024Article
- Aptamer-functionalized MOFs and AI-driven strategies for early cancer diagnosis and therapeutics.Biotechnology letters · 2024Review
- Stage analysis of pancreatic ductal adenocarcinoma via network analysis.Gastroenterology and hepatology from bed to bench · 2024Article
- Diagnostic biomarkers in ovarian cancer: advances beyond CA125 and HE4.Therapeutic advances in medical oncology · 2024Review
- Recent Advances in Surface Plasmon Resonance (SPR) Technology for Detecting Ovarian Cancer Biomarkers.Cancers · 2023Review
- Cross-Platform Identification and Validation of Uveal Melanoma Vitreous Protein Biomarkers.Investigative ophthalmology & visual science · 2023Article
- Novel immune-related gene signature for risk stratification and prognosis prediction in ovarian cancer.Journal of ovarian research · 2023Article
1 more citing papers are in PubMed but not listed here.
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early detection of ovarian cancer has been a challenge to manage the high mortality rate caused by this deadly disease. The trends in mortality have been reduced by the scientific contributions from the corners across the globe, however accounting for the fifth leading cause of gynecological mortality. The complexities in the clinical presentation, origin of tumor, and gene expression profiles had added to much difficulty in understanding and diagnosis of the disease. Stage 1 diagnosis of ovarian cancer improves the 5-year survival rate to around 92%. Cancer antigen-125 (CA-125) is the gold standard tumor marker found at abnormally high levels in the blood of many women in ovarian cancer. However, many non-cancerous conditions exhibit high levels of CA-125 and several women have normal CA-125 level in the early stage of ovarian cancer, suggesting CA-125 biomarker is not specific enough for the screening of early stage ovarian cancer. In addition, several other biomarkers, including HE4 have been added in the diagnostic field for higher sensitivity and specificity in the diagnosis and progression of ovarian cancer. HE4 is a prospective single serum biomarker which has been approved by the FDA to monitor the disease progression in epithelial ovarian cancer. However, owing to low sensitivity and specificity, combination of a panel of biomarkers has been proposed in the diagnosis of the disease. Based on extensive biomarkers research findings, here we discuss current trends in diagnostic approaches and updated potential several panels of cancer biomarkers for early detection of ovarian cancer. It has been recently reported that CA125 in combinations with two or more biomarkers have outperformed single biomarker assays for early detection of the disease. Moreover, CA-125 with CA 19-9, EGFR, G-CSF, Eotaxin, IL-2R, cVCAM, MIF improved the sensitivity with 98.2 % and specificity of 98.7% in early stage detection of ovarian cancer. Overall, this review demonstrates a panel of biomarkers signature as the potential tool for prototype development in future and other advanced approaches for early diagnosis of ovarian cancer to avoid false-diagnosis and excessive cost.
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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.