Literature DB >> 17504987

Differential methylation hybridization array of endometrial cancers reveals two novel cancer-specific methylation markers.

Israel Zighelboim1, Paul J Goodfellow, Amy P Schmidt, Ken C Walls, Mary Ann Mallon, David G Mutch, Pearlly S Yan, Tim Hui-Ming Huang, Matthew A Powell.   

Abstract

PURPOSE: To identify novel endometrial cancer-specific methylation markers and to determine their association with clinicopathologic variables and survival outcomes. EXPERIMENTAL
DESIGN: Differential methylation hybridization analysis (DMH) was done for 20 endometrioid endometrial cancers using normal endometrial DNA as a reference control. Combined bisulfite restriction analysis (COBRA) was used to verify methylation of sequences identified by DMH. Bisulfite sequencing was undertaken to further define CpG island methylation and to confirm the reliability of the COBRA. The methylation status of newly identified markers and the MLH1 promoter was evaluated by COBRA in a large series of endometrioid (n=361) and non-endometrioid uterine cancers (n=23).
RESULTS: DMH and COBRA identified two CpG islands methylated in tumors but not in normal DNAs: SESN3 (PY2B4) and TITF1 (SC77F6/154). Bisulfite sequencing showed dense methylation of the CpG islands and confirmed the COBRA assays. SESN3 and TITF1 were methylated in 20% and 70% of endometrioid tumors, respectively. MLH1 methylation was seen in 28% of the tumors. TITF1 and SESN3 methylation was highly associated with MLH1 methylation (P<0.0001). SESN3 and TITF1 were methylated in endometrioid and non-endometrioid tumors, whereas MLH1 methylation was restricted to endometrioid tumors. Methylation at these markers was not associated with survival outcomes.
CONCLUSIONS: The 5' CpG islands for SESN3 and TITF1 are novel cancer-specific methylation markers. Methylation at these loci is strongly associated with aberrant MLH1 methylation in endometrial cancers. SESN3, TITF1 and MLH1 methylation did not predict overall survival or disease-free survival in this large cohort of patients with endometrioid endometrial cancer.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17504987     DOI: 10.1158/1078-0432.CCR-06-2367

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  13 in total

1.  Promoter hypermethylation of CIDEA, HAAO and RXFP3 associated with microsatellite instability in endometrial carcinomas.

Authors:  Yi-Wen Huang; Jingqin Luo; Yu-I Weng; David G Mutch; Paul J Goodfellow; David S Miller; Tim H-M Huang
Journal:  Gynecol Oncol       Date:  2010-03-07       Impact factor: 5.482

Review 2.  Sestrins orchestrate cellular metabolism to attenuate aging.

Authors:  Jun Hee Lee; Andrei V Budanov; Michael Karin
Journal:  Cell Metab       Date:  2013-09-19       Impact factor: 27.287

3.  Aberrant methylation of the X-linked ribosomal S6 kinase RPS6KA6 (RSK4) in endometrial cancers.

Authors:  Summer B Dewdney; B J Rimel; Premal H Thaker; Dominic M Thompson; Amy Schmidt; Phyllis Huettner; David G Mutch; Feng Gao; Paul J Goodfellow
Journal:  Clin Cancer Res       Date:  2011-03-03       Impact factor: 12.531

4.  Detection of endometrial cancer via molecular analysis of DNA collected with vaginal tampons.

Authors:  Jamie N Bakkum-Gamez; Nicolas Wentzensen; Matthew J Maurer; Kieran M Hawthorne; Jesse S Voss; Trynda N Kroneman; Abimbola O Famuyide; Amy C Clayton; Kevin C Halling; Sarah E Kerr; William A Cliby; Sean C Dowdy; Benjamin R Kipp; Andrea Mariani; Ann L Oberg; Karl C Podratz; Viji Shridhar; Mark E Sherman
Journal:  Gynecol Oncol       Date:  2015-02-10       Impact factor: 5.482

Review 5.  Application of DNA methylation biomarkers for endometrial cancer management.

Authors:  Shi-Wen Jiang; Jinping Li; Karl Podratz; Sean Dowdy
Journal:  Expert Rev Mol Diagn       Date:  2008-09       Impact factor: 5.225

6.  Absence of MGMT promoter methylation in endometrial cancer.

Authors:  B J Rimel; Phyllis Huettner; Matthew A Powell; David G Mutch; Paul J Goodfellow
Journal:  Gynecol Oncol       Date:  2008-10-29       Impact factor: 5.482

7.  Fortification of bakery and corn masa-based foods in Mexico and dietary intake of folic acid and folate in Mexican national survey data.

Authors:  Manuela A Orjuela; Fabiola Mejia-Rodriguez; Amado D Quezada; Tania G Sanchez-Pimienta; Teresa Shamah-Levy; Josefina Romero-Rendón; Silvia Bhatt-Carreño; M Verónica Ponce-Castañeda; Maria A Castro; Ligi Paul; Salvador Villalpando
Journal:  Am J Clin Nutr       Date:  2019-12-01       Impact factor: 7.045

8.  Identifying hypermethylated CpG islands using a quantile regression model.

Authors:  Shuying Sun; Zhengyi Chen; Pearlly S Yan; Yi-Wen Huang; Tim H M Huang; Shili Lin
Journal:  BMC Bioinformatics       Date:  2011-02-15       Impact factor: 3.169

Review 9.  Stressin' Sestrins take an aging fight.

Authors:  Andrei V Budanov; Jun Hee Lee; Michael Karin
Journal:  EMBO Mol Med       Date:  2010-10       Impact factor: 12.137

10.  Identifying differentially methylated genes using mixed effect and generalized least square models.

Authors:  Shuying Sun; Pearlly S Yan; Tim H M Huang; Shili Lin
Journal:  BMC Bioinformatics       Date:  2009-12-09       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.