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Comprehensive analysis of the relationship between cuproptosis-related genes and esophageal cancer prognosis.
Xu, Hao; Du, Qian-Cheng; Wang, Xin-Yu; Zhou, Ling; Wang, Jian; Ma, Ying-Ying; Liu, Meng-Yao; Yu, Hua.
Afiliação
  • Xu H; General Surgery, Shanghai Xuhui Central Hospital, Shanghai 200031, China.
  • Du QC; Thoracic Surgery, Shanghai Xuhui Central Hospital, Shanghai 200031, China.
  • Wang XY; General Surgery, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China.
  • Zhou L; General Surgery, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China.
  • Wang J; Thoracic Surgery, Shanghai Xuhui Central Hospital, Shanghai 200031, China.
  • Ma YY; Thoracic Surgery, Shanghai Xuhui Central Hospital, Shanghai 200031, China.
  • Liu MY; Thoracic Surgery, Shanghai Xuhui Central Hospital, Shanghai 200031, China.
  • Yu H; General Surgery, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China. luckyyuhua@163.com.
World J Clin Cases ; 10(33): 12089-12103, 2022 Nov 26.
Article em En | MEDLINE | ID: mdl-36483804
BACKGROUND: Esophageal cancer is one of the most common malignant tumors of the digestive system, with a 5-year survival rate of 15% to 50%. Cuproptosis, a unique kind of cell death driven by protein lipoylation, is strongly connected to mitochondrial metabolism. The clinical implications of cuproptosis-related genes in esophageal cancer, however, are mainly unknown. AIM: To identify cuprotosis-related genes that are differentially expressed in esophageal cancer and investigate their prognostic significance. METHODS: With |log fold change| > 1 and false discovery rate < 0.05 as criteria, the Wilcox test was used to evaluate the differentially expressed genes between 151 tumor tissues and 151 normal esophageal tissues. Cuproptosis-related genes were selected to be linked with prognosis using univariate Cox regression analysis. Genes were separated into high- and low- expression groups based on their cutoff value of gene expression, and the correlation between the two groups and overall survival or progression-free survival was investigated using the log-rank test. The C-index, calibration curve, and receiver operator characteristic (ROC) curve were used to assess a nomogram containing clinicopathological characteristics and cuproptosis-related genes. RESULTS: Pyruvate dehydrogenase A1 (PDHA1) was found to be highly correlated with prognosis in univariate Cox regression analysis (hazard ratio = 22.96, 95% confidence interval = 3.09-170.73; P = 0.002). According to Kaplan-Meier survival curves, low expression of PDHA1 was associated with a better prognosis (log-rank P = 0.0007). There was no significant correlation between PDHA1 expression and 22 different types of immune cells. Tumor necrosis factor superfamily member 15 (TNFSF15) (P = 3.2 × 10-6; r = 0.37), TNFRSF14 (P = 8.1 × 10-8; r = 0.42), H long terminal repeat-associating 2 (P = 6.0 × 10-8; r = 0.42) and galectin 9 (P = 3.1 × 10-6; r = 0.37) were all found to be considerably greater in the high PDHA1 expression group, according to an analysis of genes related to 47 immunological checkpoints. The low PDHA1 expression group had significantly lower levels of cluster of differentiation 44 (CD44) (P = 0.00028; R = -0.29), TNFRSF18 (P = 1.2 × 10-5; R = -0.35), programmed cell death 1 ligand 2 (P = 0.0032; R = -0.24), CD86 (P = 0.018; R = -0.19), and CD40 (P = 0.0047; R = -0.23), and the differences were statistically significant. We constructed a prognostic nomogram incorporating pathological type, tumor-node-metastasis stage, and PDHA1 expression, and the C-index, calibration curve, and ROC curve revealed that the nomogram's predictive performance was good. CONCLUSION: Cuproptosis-related genes can be used as a prognostic predictor for esophageal cancer patients, providing novel insights into cancer treatment.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article