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Methylomic Landscapes of Ovarian Cancer Precursor Lesions.
Pisanic, Thomas R; Wang, Yeh; Sun, Hanru; Considine, Michael; Li, Lihong; Wang, Tza-Huei; Wang, Tian-Li; Shih, Ie-Ming.
Afiliação
  • Pisanic TR; Johns Hopkins Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland. tpisanic@jhu.edu ishih@jhmi.edu.
  • Wang Y; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Sun H; Johns Hopkins Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland.
  • Considine M; Department of Biostatistics, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Li L; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Wang TH; Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Wang TL; Johns Hopkins Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, Maryland.
  • Shih IM; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Clin Cancer Res ; 26(23): 6310-6320, 2020 12 01.
Article em En | MEDLINE | ID: mdl-32817081
PURPOSE: The current paradigm in the development of high-grade serous ovarian carcinoma (HGSC) proposes that the majority of HGSCs arise from precursor serous tubal intraepithelial carcinoma (STIC) lesions of the fallopian tube. Here we survey genome-wide methylation in HGSC precursor lesions to identify genomic regions that exhibit high-specificity differential hypermethylation for potential use as biomarkers for detecting STIC and HGSC at stages when curative intervention likely remains feasible. EXPERIMENTAL DESIGN: We first identified quality control criteria for performing reliable methylomic analysis of DNA-limited tubal precursor lesions with the Illumina Infinium MethylationEPIC array. We then used this platform to compare genome-wide methylation among 12 STICs with paired adjacent-normal epithelia, one p53 signature lesion and two samples of concurrent HGSC. The resulting methylomic data were analyzed by unsupervised hierarchical clustering and multidimensional analysis. Regions of high-confidence STIC-specific differential hypermethylation were identified using selective bioinformatic criteria and compared with published MethylationEPIC data from 23 HGSC tumors and 11 healthy fallopian tube mucosae. RESULTS: Unsupervised analysis showed that STICs largely clustered with HGSCs, but were clearly distinct from adjacent-normal fallopian tube epithelia. Forty-two genomic regions exhibited high-confidence STIC-specific differential hypermethylation, of which 17 (40.5%) directly overlapped with HGSC-specific differentially methylated regions. Methylation at these shared loci was able to completely distinguish STIC and HGSC samples from normal and adjacent-normal specimens. CONCLUSIONS: Our results suggest that most STICs are epigenetically similar to HGSCs and share regions of differential hypermethylation that warrant further evaluation for potential use as biomarkers for early detection of ovarian HGSC.See related commentary by Ishak and De Carvalho, p. 6083.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Lesões Pré-Cancerosas / Biomarcadores Tumorais / Regulação Neoplásica da Expressão Gênica / Cistadenocarcinoma Seroso / Metilação de DNA / Neoplasias das Tubas Uterinas Tipo de estudo: Observational_studies / Prognostic_studies / Screening_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Lesões Pré-Cancerosas / Biomarcadores Tumorais / Regulação Neoplásica da Expressão Gênica / Cistadenocarcinoma Seroso / Metilação de DNA / Neoplasias das Tubas Uterinas Tipo de estudo: Observational_studies / Prognostic_studies / Screening_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article