An energy metabolism-based eight-gene signature correlates with the clinical outcome of esophagus carcinoma.

BACKGROUND: The essence of energy metabolism has spread to the field of esophageal cancer (ESC) cells. Herein, we tried to develop a prognostic prediction model for patients with ESC based on the expression profiles of energy metabolism associated genes. MATERIALS AND METHODS: The overall survival (OS) predictive gene signature was developed, internally and externally validated based on ESC datasets including The Cancer Genome Atlas (TCGA), GSE54993 and GSE19417 datasets. Hub genes were identified in each energy metabolism related molecular subtypes by weighted gene correlation network analysis, and then enrolled for determination of prognostic genes. Univariate, LASSO and multivariate Cox regression analysis were applied to assess prognostic genes and build the prognostic gene signature. Kaplan-Meier curve, time-dependent receiver operating characteristic (ROC) curve, nomogram, decision curve analysis (DCA), and restricted mean survival time (EMST) were used to assess the performance of the gene signature. RESULTS: A novel energy metabolism based eight-gene signature (including UBE2Z, AMTN, AK1, CDCA4, TLE1, FXN, ZBTB6 and APLN) was established, which could dichotomize patients with significantly different OS in ESC. The eight-gene signature demonstrated independent prognostication potential in patient with ESC. The prognostic nomogram constructed based on the gene signature showed excellent predictive performance, whose robustness and clinical usability were higher than three previous reported prognostic gene signatures. CONCLUSIONS: Our study established a novel energy metabolism based eight-gene signature and nomogram to predict the OS of ESC, which may help in precise clinical management.

An observational study on the modulation of anxiety, depression, and adverse event incidence in painless colonoscopy patients through venous access nursing.

To investigate the clinical significance of venous access nursing in modulating anxiety, depression, and adverse event incidence among patients undergoing painless colonoscopy. Sixty patients who underwent painless colonoscopy in our hospital from September 2021 to September 2022 were selected as the control group (CG, receiving routine perioperative nursing). Sixty patients who underwent painless colonoscopy in our hospital from October 2022 to August 2023 were taken as the study group (SG, receiving venous access nursing modulation). After nursing, patients in the SG exhibited lower scores of the Self-Rating Anxiety Scale and the Self-Rating Depression Scale than those in the CG (P < .05). The SG showed significantly lower mean Ottawa Bowel Preparation Score, but exhibited higher adequacy of bowel preparation compared with the CG (P < .05). The colonoscopy insertion time was (7.18 ±â€…1.02) minutes in the SG and (8.69 ±â€…1.00) minutes in the CG, and the colonoscopy withdrawal time was (4.66 ±â€…1.66) minutes in the SG and (5.64 ±â€…1.06) minutes in the CG, which showed statistically significant differences between the 2 groups (P < .05). The total incidence of adverse events did not have statistical significance between the 2 groups (P > .05). Application of venous access nursing in patients undergoing painless colonoscopy may help alleviate adverse emotions and shorten colonoscopy insertion time and colonoscopy withdrawal time, thus warranting recognition for its safety and efficacy.