ArticleClinical cancer research : an official journal of the American Association for Cancer Research2018
Methylomic Analysis of Ovarian Cancers Identifies Tumor-Specific Alterations Readily Detectable in Early Precursor Lesions.
Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
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Who cites it
39 citing papers in PubMed, 60 citations in OpenAlex.
- Macrophage mitophagy-related genes predict prognosis and therapeutic response in lung adenocarcinoma.Scientific reports · 2025Article
- Multimodal Spatial Profiling Reveals Immune Suppression and Microenvironment Remodeling in Fallopian Tube Precursors to High-Grade Serous Ovarian Carcinoma.Cancer discovery · 2025Article
- Role of DNA methylation and non‑coding RNAs expression in pathogenesis, detection, prognosis, and therapy‑resistant ovarian carcinoma (Review).Molecular medicine reports · 2025Review
- Transcription factor NFKB1 mediates TUBB6 to promote the proliferation and suppress apoptosis in glioma via Wnt/β-catenin signaling pathway.Discover oncology · 2025Article
- Impact of BRCA mutations, age, surgical indication, and hormone status on the molecular phenotype of the human Fallopian tube.Nature communications · 2025Article
- Potential use of DNA methylation in cervical swabs for early ovarian cancer diagnosis.Journal of ovarian research · 2025Article
- Serous tubal intraepithelial carcinoma-looking into the earliest events of ovarian cancer development.Academia oncology · 2025Article
- Multimodal Spatial Profiling Reveals Immune Suppression and Microenvironment Remodeling in Fallopian Tube Precursors to High-Grade Serous Ovarian Carcinoma.bioRxiv : the preprint server for biology · 2024Article
- Single-molecule epiallelic profiling of DNA derived from routinely collected Pap specimens for noninvasive detection of ovarian cancer.Clinical and translational medicine · 2024Article
- The common bisulfite-conversion-based techniques to analyze DNA methylation in human cancers.Cancer cell international · 2024Review
- Identification of macrophage-related genes correlated with prognosis and immunotherapy efficacy in non-small cell lung cancer.Heliyon · 2024Article
- Cross-talk of Three Molecular Subtypes of Telomere Maintenance Defines Clinical Characteristics and Tumor Microenvironment in Gastric Cancer.Journal of Cancer · 2024Article
- Detection of endometrial cancer using tampon-based collection and methylated DNA markers.Gynecologic oncology · 2023Article
- Article
- Multiomic characterization of high-grade serous ovarian carcinoma: editorial commentary on recent application and consideration for future directions.Translational cancer research · 2023Article
- Detection of a NovelGenes · 2023Article
- Current and Emerging Methods for Ovarian Cancer Screening and Diagnostics: A Comprehensive Review.Cancers · 2022Review
- Applications of Proteomics in Ovarian Cancer: Dawn of a New Era.Proteomes · 2022Review
- Epigenomic Profiling of Epithelial Ovarian Cancer Stem-Cell Differentiation Reveals GPD1 Associated Immune Suppressive Microenvironment and Poor Prognosis.International journal of molecular sciences · 2022Article
- Multi-omics approaches for biomarker discovery in early ovarian cancer diagnosis.EBioMedicine · 2022Review
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeHigh-grade serous ovarian carcinoma (HGSOC) typically remains undiagnosed until advanced stages when peritoneal dissemination has already occurred. Here, we sought to identify HGSOC-specific alterations in DNA methylation and assess their potential to provide sensitive and specific detection of HGSOC at its earliest stages. EXPERIMENTAL
designMethylationEPIC genome-wide methylation analysis was performed on a discovery cohort comprising 23 HGSOC, 37 non-HGSOC malignant, and 36 histologically unremarkable gynecologic tissue samples. The resulting data were processed using selective bioinformatic criteria to identify regions of high-confidence HGSOC-specific differential methylation. Quantitative methylation-specific real-time PCR (qMSP) assays were then developed for 8 of the top-performing regions and analytically validated in a cohort of 90 tissue samples. Lastly, qMSP assays were used to assess and compare methylation in 30 laser-capture microdissected (LCM) fallopian tube epithelia samples obtained from cancer-free and serous tubal intraepithelial carcinoma (STIC) positive women.
resultsBioinformatic selection identified 91 regions of robust, HGSOC-specific hypermethylation, 23 of which exhibited an area under the receiver-operator curve (AUC) value ≥ 0.9 in the discovery cohort. Seven of 8 top-performing regions demonstrated AUC values between 0.838 and 0.968 when analytically validated by qMSP in a 90-patient cohort. A panel of the 3 top-performing genes (
conclusionsA panel of methylation biomarkers can be used to accurately identify HGSOC, even at precursor stages of the disease.
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