Literature DB >> 28586118

A DNA hypermethylation profile reveals new potential biomarkers for the evaluation of prognosis in urothelial bladder cancer.

Jose I López1, Javier C Angulo2, Ana Martín3, Manuel Sánchez-Chapado4, Ana González-Corpas5, Begoña Colás5, Santiago Ropero5.   

Abstract

DNA hypermethylation has emerged as a molecular biomarker for the evaluation of cancer diagnosis and prognosis. We define a methylation signature of bladder cancer and evaluate whether this profile assesses prognosis of patients. Genome-wide methylation analysis was performed on 70 tumor and 10 normal bladder samples. Hypermethylation status of 1505 CpGs present in the promoter region of 807 genes was studied. Thirty-three genes were significantly hypermethylated in ≥10% of the tumors. Three clusters of patients were characterized by their DNA methylation profile, one at higher risk of dead of disease (p = 0.0012). Association between cluster distribution and stage (p = 0.02) or grade (p = 0.02) was demonstrated. Hypermethylation of JAK3 and absence of hypermethylation of EYA4, GAT6, and SOX1 were associated with low-grade non-invasive disease. On the other hand, in high-grade invasive disease hypermethylation of CSPG2, HOXA11, HOXA9, HS3ST2, SOX1, and TWIST1 was associated with muscle invasiveness. A panel of hypermethylated genes including APC, CSPG2, EPHA5, EYA4, HOXA9, IPF1, ISL1, JAK3, PITX2, SOX1, and TWIST1 predicted cancer-specific survival and SOX1 (HR = 3.46), PITX2 (HR = 4.17), CSPG2 (HR = 5.35), and JAK3 hypermethylation (HR = 0.19) did so independently. Silencing of genes by hypermethylation is a common event in bladder cancer and could be used to develop diagnostic and prognostic markers. Combined hypermethylation of SOX1, PITX2, or CSPG2 signals patients at higher risk of death from bladder cancer.
© 2017 APMIS. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Bladder cancer; DNA methylation; biomarkers; disease-specific survival; epigenetics

Mesh:

Substances:

Year:  2017        PMID: 28586118     DOI: 10.1111/apm.12719

Source DB:  PubMed          Journal:  APMIS        ISSN: 0903-4641            Impact factor:   3.205


  15 in total

1.  Screening of characteristic biomolecules related to bladder cancer based on construction of ceRNA regulation network.

Authors:  Yan Sun; DongYan Zhu; HongJian Xing; Yi Hou; Yan Liu
Journal:  World J Urol       Date:  2020-02-14       Impact factor: 4.226

2.  PITX2 DNA-methylation predicts response to anthracycline-based adjuvant chemotherapy in triple-negative breast cancer patients.

Authors:  Magdalena Absmaier; Rudolf Napieralski; Tibor Schuster; Michaela Aubele; Axel Walch; Viktor Magdolen; Julia Dorn; Eva Gross; Nadia Harbeck; Aurelia Noske; Marion Kiechle; Manfred Schmitt
Journal:  Int J Oncol       Date:  2018-01-08       Impact factor: 5.650

3.  Rewiring of cisplatin-resistant bladder cancer cells through epigenetic regulation of genes involved in amino acid metabolism.

Authors:  Austin Yeon; Sungyong You; Minhyung Kim; Amit Gupta; Myung Hee Park; Daniel J Weisenberger; Gangning Liang; Jayoung Kim
Journal:  Theranostics       Date:  2018-08-10       Impact factor: 11.600

4.  Upregulation of PITX2 Promotes Letrozole Resistance Via Transcriptional Activation of IFITM1 Signaling in Breast Cancer Cells.

Authors:  Ying-Ying Xu; Hai-Ru Yu; Jia-Yi Sun; Zhao Zhao; Shuang Li; Xin-Feng Zhang; Zhi-Xuan Liao; Ming-Ke Cui; Juan Li; Chan Li; Qiang Zhang
Journal:  Cancer Res Treat       Date:  2018-07-18       Impact factor: 4.679

5.  PITX2 enhances progression of lung adenocarcinoma by transcriptionally regulating WNT3A and activating Wnt/β-catenin signaling pathway.

Authors:  Jing Luo; Yu Yao; Saiguang Ji; Qi Sun; Yang Xu; Kaichao Liu; Qiang Diao; Yong Qiang; Yi Shen
Journal:  Cancer Cell Int       Date:  2019-04-11       Impact factor: 5.722

6.  A rapid and accurate methylation-sensitive high-resolution melting analysis assay for the diagnosis of Prader Willi and Angelman patients.

Authors:  Igor Ribeiro Ferreira; Wilton Darleans Dos Santos Cunha; Leonardo Henrique Ferreira Gomes; Hiago Azevedo Cintra; Letícia Lopes Cabral Guimarães Fonseca; Elenice Ferreira Bastos; Juan Clinton Llerena; Zilton Farias Meira de Vasconcelos; Letícia da Cunha Guida
Journal:  Mol Genet Genomic Med       Date:  2019-04-29       Impact factor: 2.183

7.  A self-enforcing HOXA11/Stat3 feedback loop promotes stemness properties and peritoneal metastasis in gastric cancer cells.

Authors:  Chao Wang; Min Shi; Jun Ji; Qu Cai; Jinling Jiang; Huan Zhang; Zhenggang Zhu; Jun Zhang
Journal:  Theranostics       Date:  2019-10-14       Impact factor: 11.556

8.  EYA2 promotes lung cancer cell proliferation by downregulating the expression of PTEN.

Authors:  Zhaoming Li; Ran Qiu; Xia Qiu; Tian Tian
Journal:  Oncotarget       Date:  2017-12-02

Review 9.  Proteoglycans-Biomarkers and Targets in Cancer Therapy.

Authors:  Dragana Nikitovic; Aikaterini Berdiaki; Ioanna Spyridaki; Theodoros Krasanakis; Aristidis Tsatsakis; George N Tzanakakis
Journal:  Front Endocrinol (Lausanne)       Date:  2018-03-06       Impact factor: 5.555

10.  A Novel Prognostic DNA Methylation Panel for Colorectal Cancer.

Authors:  Hsin-Hua Chung; Chih-Chi Kuo; Cheng-Wen Hsiao; Chao-Yang Chen; Je-Ming Hu; Chih-Hsiung Hsu; Yu-Ching Chou; Ya-Wen Lin; Yu-Lueng Shih
Journal:  Int J Mol Sci       Date:  2019-09-20       Impact factor: 5.923

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