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Decoding Gastric Cancer: Machine Learning Insights Into the Significance of COMMDs Family in Immunotherapy and Diagnosis.
Wan, Rong; Pan, Lujuan; Wang, Qi; Shen, Guanliang; Guo, RuoNan; Qin, Yueqiu; Huang, Xufeng; Wang, Ruo; Fan, Xin.
Afiliação
  • Wan R; Department of Gastrointestinal Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
  • Pan L; Department of Gastroenterology, Affiliated Hospital of Youjiang Medical University for Nationalities, No.18 Zhongshan 2nd Road, Baise, Guangxi, China.
  • Wang Q; Key Laboratory of Tumor Molecular Pathology of Baise, Guangxi, China.
  • Shen G; Department of Gastroenterology, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, China.
  • Guo R; Department of Gastroenterology, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, China.
  • Qin Y; Department of Laboratory, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, China.
  • Huang X; Department of Gastroenterology, Affiliated Hospital of Youjiang Medical University for Nationalities, No.18 Zhongshan 2nd Road, Baise, Guangxi, China.
  • Wang R; Faculty of Dentistry, University of Debrecen, Debrecen, Hungary.
  • Fan X; Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
J Cancer ; 15(11): 3580-3595, 2024.
Article em En | MEDLINE | ID: mdl-38817875
ABSTRACT
Copper, an indispensable trace element for the human body, serves not only as a crucial auxiliary factor in redox reactions within the organism but also as a significant constituent of numerous key metabolic enzymes. The COMMD family plays a vital role in regulating copper at both the cellular and systemic levels, particularly in the realm of tumor research, an area notably deficient in gastric cancer investigations. With the advancement of precision medical techniques, individualized and precise screening and treatment have become paramount considerations in the contemporary medical landscape for gastric cancer therapy. In light of this, we meticulously scrutinized existing transcriptomic datasets for gastric cancer, validating the expression levels and prognostic value of COMMD family genes. Simultaneously, employing the ssGSEA algorithm, we devised the COMMDs score. Enrichment analysis, gene mutations, and clinical features were incorporated into the assessment of this score. Furthermore, we contextualized the COMMDs score within the framework of the immune microenvironment, evaluating the relationship between the COMMDs family and immune factors as well as immune cells. The results suggest a correlation between the COMMDs score and various immune-related features. Based on this foundation, multiple machine learning approaches indicated Logistic Regression, with a remarkable ROC of 0.972, as the optimal diagnostic model. To accentuate the translational medical value of the COMMDs family, we selected COMMD10 as a differential gene in gastric cancer for further validation. Functional experiments revealed a decline in the proliferative and migratory capabilities of gastric cancer cells upon silencing COMMD10. Additionally, through pathway intervention, we unveiled the PI3K-AKT pathway as a potential mechanism through which COMMD10 influences gastric cancer activity. In summary, our study affirms the prospective role of the COMMDs family as potential markers for the diagnosis and treatment of gastric cancer in the future.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Cancer Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Cancer Ano de publicação: 2024 Tipo de documento: Article