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Identification of DNA methylation characteristics associated with metastasis and prognosis in colorectal cancer.
Qian, Fang; Li, Qiang; Chang, Huidan; Wei, Kai; Chen, Xiaoyi; Huang, Tao; Li, Yixue.
Afiliação
  • Qian F; Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
  • Li Q; Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, 315000, China.
  • Chang H; Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
  • Wei K; Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
  • Chen X; Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
  • Huang T; Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, 315000, China. chenxiaoyi@mails.ucas.ac.cn.
  • Li Y; Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China. huangtao@sinh.ac.cn.
BMC Med Genomics ; 17(1): 127, 2024 May 10.
Article em En | MEDLINE | ID: mdl-38730335
ABSTRACT
Colorectal cancer (CRC) is prone to metastasis and recurrence after surgery, which is one of the main causes for its poor treatment and prognosis. Therefore, it is essential to identify biomarkers associated with metastasis and recurrence in CRC. DNA methylation has a regulatory role in cancer metastasis, tumor immune microenvironment (TME), and prognosis and may be one of the most valuable biomarkers for predicting CRC metastasis and prognosis. We constructed a diagnostic model and nomogram that can effectively predict CRC metastasis based on the differential methylation CpG sites (DMCs) between metastatic and non-metastatic CRC patients. Then, we identified 17 DMCs associated with progression free survival (PFS) of CRC and constructed a prognostic model. The prognosis model based on 17 DMCs can predict the PFS of CRC with medium to high accuracy. The results of immunohistochemical analysis indicated that the protein expression levels of the genes involved in prognostic DMCs were different between normal and colorectal cancer tissues. According to the results of immune-related analysis, we found that the low-risk patients had better immunotherapy response. In addition, high risk scores were negatively correlated with high tumor mutation burden (TMB) levels, and patients with low TMB levels in the high-risk group had the worst PFS. Our work shows the clinical value of DNA methylation in predicting CRC metastasis and PFS, as well as their correlation with TME, immunotherapy, and TMB, which helps understand the changes of DNA methylation in CRC metastasis and improving the treatment and prognosis of CRC.
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Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Colon_e_reto Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Metilação de DNA / Metástase Neoplásica Limite: Female / Humans / Male Idioma: En Revista: BMC Med Genomics Assunto da revista: GENETICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Tipos_de_cancer / Colon_e_reto Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Metilação de DNA / Metástase Neoplásica Limite: Female / Humans / Male Idioma: En Revista: BMC Med Genomics Assunto da revista: GENETICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China