ArticleDiscover oncology2025
Identification and Validation of a Novel Lactylation-related Gene Signature to Predict the Prognosis of Endometrial Cancer.
Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Lysine lactylation in neutrophil functional remodeling across diverse disease contexts.Frontiers in immunology · 2026Review
- Research progress on protein lactylation in female reproductive disease: molecular mechanisms, functions, and therapeutic implications.Frontiers in pharmacology · 2026Review
- Decoding protein lactylation in the pathogenesis and progression of gynecological cancer.American journal of cancer research · 2025Review
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
backgroundEndometrial carcinoma (EC) is a prevalent kind of cancerous tumor with significant morbidity and mortality. Mounting evidence reveals that lactylation modification plays a crucial role in tumorigenesis, but its connection to EC remains poorly understood. This study aimed to identify a lactylation-related gene signature to predict the prognosis of EC.
methodsDifferentially expressed lactylation-related genes between EC and normal samples were analyzed using the TCGA database. Univariate and LASSO Cox regression analyses were employed to construct the lactylation-related signature, which was then validated using both the test set and entire set. A nomogram was further developed and evaluated. Additionally, enrichment analysis, immune cell infiltration, tumor mutation burden and drug response were assessed between the two risk groups.
resultsSixteen lactylation-related genes (LRGs) were selected to construct the prognostic signature. Kaplan-Meier survival curves showed that patients in the high-risk group had remarkably worse prognosis. A nomogram based on the signature and other clinical characteristics was constructed and demonstrated strong predictive power. Additionally, biological pathways, immune status, tumor mutation burden and drug response differed between the high- and low-risk groups.
conclusionIn conclusion, our study demonstrated that the LRG signature is a promising biomarker for EC, effectively distinguishing high-risk patients, predicting prognosis, and offering new strategic directions for antitumor immunotherapy.
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