DNA methylation data‐based prognosis‐subtype distinctions in patients with esophageal carcinoma by bioinformatic studies-Reference-Cited by-同舟云学术

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DNA methylation data‐based prognosis‐subtype distinctions in patients with esophageal carcinoma by bioinformatic studies

Published:2020-08-23 Issue:3 Volume:236 Page:2126-2138
ISSN:0021-9541
Container-title:Journal of Cellular Physiology
language:en
Short-container-title:J Cell Physiol

Author:

Chen Hui¹^ORCID,Qin Qin¹,Xu Zhipeng²^ORCID,Chen Tingting³,Yao Xijuan¹,Xu Bing¹,Sun Xinchen¹^ORCID

Affiliation:

1. Department of Radiation Oncology Nanjing Medical University First Affiliated Hospital, Jiangsu Province Hospital Nanjing Jiangsu China

2. Department of Urology Affiliated Zhongda Hospital of Southeast University Nanjing Jiangsu China

3. Department of Oncology Yangzhou University Affiliated Northern Jiangsu People's Hospital Yangzhou Jiangsu China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cell Biology,Clinical Biochemistry,Physiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcp.29999

Reference33 articles.

1. WNT and NOTCH signaling pathways as activators for epidermal growth factor receptor in esophageal squamous cell carcinoma

2. Promoter hypermethylation of the ATM gene as a novel biomarker for breast cancer;Begam N.;Asian Pacific Journal of Cancer Prevention,2017

3. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

4. A six-CpG panel with DNA methylation biomarkers predicting treatment response of chemoradiation in esophageal squamous cell carcinoma

5. Identification of key genes by integrating DNA methylation and next-generation transcriptome sequencing for esophageal squamous cell carcinoma

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2. Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: A systematic review of epigenome-wide studies;Artificial Intelligence in Medicine;2023-09

3. Bioinformatics analysis based on DNA methylation data identified in lung adenocarcinoma subgroups with different immune characteristics and clinical outcomes;Journal of Thoracic Disease;2023-04

4. Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: a systematic review of epigenome-wide studies;2022-09-04

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