Literature DB >> 27756787

A Four-Gene Promoter Methylation Marker Panel Consisting of GREM1, NEURL, LAD1, and NEFH Predicts Survival of Clear Cell Renal Cell Cancer Patients.

Iris J H van Vlodrop1, Sophie C Joosten2, Tim De Meyer3, Kim M Smits1,4, Leander Van Neste1, Veerle Melotte1, Marcella M L L Baldewijns1, Leo J Schouten5, Piet A van den Brandt5, Jana Jeschke6,7, Joo Mi Yi8, Kornel E Schuebel6, Nita Ahuja6, James G Herman9, Maureen J Aarts2, Fred T Bosman1, Wim Van Criekinge3, Manon van Engeland10.   

Abstract

Purpose: The currently used prognostic models for patients with nonmetastatic clear cell renal cell carcinoma (ccRCC) are based on clinicopathologic features and might be improved by adding molecular markers. Epigenetic alterations occur frequently in ccRCC and are promising biomarkers. The aim of this study is to identify prognostic promoter methylation markers for ccRCC.Experimental Design: We integrated data generated by massive parallel sequencing of methyl-binding domain enriched DNA and microarray-based RNA expression profiling of 5-aza-2'-deoxycytidine-treated ccRCC cell lines to comprehensively characterize the ccRCC methylome. A selection of the identified methylation markers was evaluated in two independent series of primary ccRCC (n = 150 and n = 185) by methylation-specific PCR. Kaplan-Meier curves and log-rank tests were used to estimate cause-specific survival. HRs and corresponding 95% confidence intervals (CI) were assessed using Cox proportional hazard models. To assess the predictive capacity and fit of models combining several methylation markers, HarrellC statistic and the Akaike Information Criterion were used.
Results: We identified four methylation markers, that is, GREM1, NEURL, LAD1, and NEFH, that individually predicted prognosis of patients with ccRCC. The four markers combined were associated with poorer survival in two independent patient series (HR, 3.64; 95% CI, 1.02-13.00 and HR, 7.54; 95% CI, 2.68-21.19). These findings were confirmed in a third series of ccRCC cases from The Cancer Genome Atlas (HR, 3.60; 95% CI, 2.02-6.40).Conclusions: A four-gene promoter methylation marker panel consisting of GREM1, NEURL, LAD1, and NEFH predicts outcome of patients with ccRCC and might be used to improve current prognostic models. Clin Cancer Res; 23(8); 2006-18. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 27756787     DOI: 10.1158/1078-0432.CCR-16-1236

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


  20 in total

1.  Liquid biopsies in renal cell carcinoma with focus on epigenome analysis.

Authors:  Alessia Cimadamore; Matteo Santoni; Francesco Massari; Liang Cheng; Antonio Lopez-Beltran; Marina Scarpelli; Rodolfo Montironi
Journal:  Ann Transl Med       Date:  2019-09

2.  Prognostic significance of promoter CpG island methylation of obesity-related genes in patients with nonmetastatic renal cell carcinoma.

Authors:  Julia Mendoza-Pérez; Jian Gu; Luis A Herrera; Nizar M Tannir; Shanyu Zhang; Surena Matin; Jose A Karam; Christopher G Wood; Xifeng Wu
Journal:  Cancer       Date:  2017-05-23       Impact factor: 6.860

3.  Clinical significance of novel DNA methylation biomarkers for renal clear cell carcinoma.

Authors:  Raimonda Kubiliūtė; Kristina Žukauskaitė; Algirdas Žalimas; Albertas Ulys; Rasa Sabaliauskaitė; Arnas Bakavičius; Arūnas Želvys; Feliksas Jankevičius; Sonata Jarmalaitė
Journal:  J Cancer Res Clin Oncol       Date:  2021-10-23       Impact factor: 4.553

4.  DNA methylation-mediated low expression of ZNF582 promotes the proliferation, migration, and invasion of clear cell renal cell carcinoma.

Authors:  Mengyu Ding; Qiong Wang; Wenwen Zhu; Jian Chang; Hui Liao; Geqiong Xiao
Journal:  Clin Exp Nephrol       Date:  2022-09-21       Impact factor: 2.617

Review 5.  The Role of DNA Methylation in Renal Cell Carcinoma.

Authors:  Brittany N Lasseigne; James D Brooks
Journal:  Mol Diagn Ther       Date:  2018-08       Impact factor: 4.074

Review 6.  The Role of Epigenetics in the Progression of Clear Cell Renal Cell Carcinoma and the Basis for Future Epigenetic Treatments.

Authors:  Javier C Angulo; Claudia Manini; Jose I López; Angel Pueyo; Begoña Colás; Santiago Ropero
Journal:  Cancers (Basel)       Date:  2021-04-25       Impact factor: 6.639

7.  Exploring effects of DNA methylation and gene expression on pan-cancer drug response by mathematical models.

Authors:  Wenhua Lv; Xingda Zhang; Huili Dong; Qiong Wu; Baoqing Sun; Yan Zhang
Journal:  Exp Biol Med (Maywood)       Date:  2021-04-28

8.  Clinical utility of the S3-score for molecular prediction of outcome in non-metastatic and metastatic clear cell renal cell carcinoma.

Authors:  Florian Büttner; Stefan Winter; Steffen Rausch; Jörg Hennenlotter; Stephan Kruck; Arnulf Stenzl; Marcus Scharpf; Falko Fend; Abbas Agaimy; Arndt Hartmann; Jens Bedke; Matthias Schwab; Elke Schaeffeler
Journal:  BMC Med       Date:  2018-07-05       Impact factor: 8.775

9.  DNA Methylation Haplotype Block Markers Efficiently Discriminate Follicular Thyroid Carcinoma from Follicular Adenoma.

Authors:  Hui Zhang; Zhenzhen Zhang; Xiaoding Liu; Huanli Duan; Tianmin Xiang; Qiye He; Zhixi Su; Huanwen Wu; Zhiyong Liang
Journal:  J Clin Endocrinol Metab       Date:  2021-03-25       Impact factor: 5.958

10.  Exploratory analysis of the human breast DNA methylation profile upon soymilk exposure.

Authors:  Louis Coussement; Selin Bolca; Wim Van Criekinge; Geert Trooskens; Klaas Mensaert; Katrien Poels; Nathalie Roche; Phillip Blondeel; Lode Godderis; Herman Depypere; Tim De Meyer
Journal:  Sci Rep       Date:  2018-09-11       Impact factor: 4.379

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