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CpG-methylation-based risk score predicts progression in colorectal cancer.
Deng, Yao; Wan, Hao; Tian, Jianbo; Cheng, Xiang; Rao, Meilin; Li, Jiaoyuan; Zhang, Hongli; Zhang, Ming; Cai, Yimin; Lu, Zequn; Li, Yue; Niu, Siyuan; Shen, Na; Chang, Jiang; Fang, Zemin; Zhong, Rong.
Afiliación
  • Deng Y; Department of Epidemiology & Biostatistics & Ministry of Education Key Lab of Environment & Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei 430030, PR China.
  • Wan H; Department of Epidemiology & Biostatistics & Ministry of Education Key Lab of Environment & Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei 430030, PR China.
  • Tian J; Department of Epidemiology & Biostatistics & Ministry of Education Key Lab of Environment & Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei 430030, PR China.
  • Cheng X; Department of Hepatobiliary Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430022, PR China.
  • Rao M; Department of Epidemiology & Biostatistics & Ministry of Education Key Lab of Environment & Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei 430030, PR China.
  • Li J; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, PR China.
  • Zhang H; Department of Epidemiology & Biostatistics & Ministry of Education Key Lab of Environment & Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei 430030, PR China.
  • Zhang M; Department of Epidemiology & Biostatistics & Ministry of Education Key Lab of Environment & Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei 430030, PR China.
  • Cai Y; Department of Epidemiology & Biostatistics & Ministry of Education Key Lab of Environment & Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei 430030, PR China.
  • Lu Z; Department of Epidemiology & Biostatistics & Ministry of Education Key Lab of Environment & Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei 430030, PR China.
  • Li Y; Department of Epidemiology & Biostatistics & Ministry of Education Key Lab of Environment & Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei 430030, PR China.
  • Niu S; Department of Epidemiology & Biostatistics & Ministry of Education Key Lab of Environment & Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei 430030, PR China.
  • Shen N; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, PR China.
  • Chang J; Department of Epidemiology & Biostatistics & Ministry of Education Key Lab of Environment & Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei 430030, PR China.
  • Fang Z; Division of Cardiothoracic & Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, PR China.
  • Zhong R; Department of Epidemiology & Biostatistics & Ministry of Education Key Lab of Environment & Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei 430030, PR China.
Epigenomics ; 12(7): 605-615, 2020 04.
Article en En | MEDLINE | ID: mdl-32180433
ABSTRACT

Aim:

To identify patients with colorectal cancer (CRC) who are at a truly higher risk of progression, which is key for individualized approaches to precision therapy. Materials &

methods:

We developed a predictor associated with progression-free interval (PFI) using The Cancer Genome Atlas CRC methylation data.

Results:

The risk score was associated with PFI in the whole cohort (p < 0.001). A nomogram consisting of the risk score and other significant clinical features was generated to predict the 3- and 5-year PFI in the whole set (area under the curve 0.79 and 0.71, respectively).

Conclusion:

The risk score based on 23 DNA-methylation sites may serve as the basis for improved prediction of progression in patients with CRC in future clinical practice.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Islas de CpG / Metilación de ADN Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Epigenomics Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Colorrectales / Islas de CpG / Metilación de ADN Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Epigenomics Año: 2020 Tipo del documento: Article
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