Novel targets and their functions in the prognosis of uterine corpus endometrial cancer patients.
J Appl Genet
; 2024 Apr 19.
Article
in En
| MEDLINE
| ID: mdl-38639843
ABSTRACT
Aberrant mRNA expression is implicated in uterine corpus endometrial carcinoma (UCEC) oncogenesis and progression. However, effective prognostic biomarkers for UCEC remain limited. We aimed to construct a reliable multi-gene risk model using gene expression profiles. Utilizing TCGA data (543 UCEC samples, 35 controls), we identified 1517 differentially acting genes. Weighted gene co-expression complex analysis (WGCCA), hub gene screening, and risk regression analysis (RRA) were employed to determine prognosis-related genes and construct the risk model. Nomograms visualized risk scores and receiver operator characteristic (ROC) curves assessed model performance. Seven novel prognosis-related hub genes (ANGPT1, ASB2, GAL, GDF7, ONECUT2, SV2B, TRPC6) were identified. The model's concordance index (C index) by multivariate Cox regression analysis was 0.79. ROC curves yielded AUCs of 0.811 (3-year) and 0.79 (5-year), demonstrating the model's efficacy in predicting UCEC survival. Our study proposes a promising seven-biomarker risk model for predicting UCEC prognosis, offering potential clinical utility.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
J Appl Genet
/
J. appl. genet
/
Journal of applied genetics
Journal subject:
GENETICA
Year:
2024
Document type:
Article
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