Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 20, 2025

Identification of Bacterial Lipopolysaccharide-Related Molecular Subtypes and Development of a Four-Gene Prognostic Risk Model in Cervical Cancer.

View Full Paper
Ask AI
Bookmark
Share

Authors

YTYuehong TongLXLili XuYSYiqun Sun

Discussion

Loading...

Member takes

Overview

This analysis identifies molecular subtypes and constructs a prognostic model in cervical cancer, suggesting immune implications.

Key Points

  • The four-gene risk model successfully predicts survival outcomes in cervical cancer patients, enhancing treatment personalization.
  • Molecular subtypes were identified through non-negative matrix factorization, revealing diverse immune characteristics.
  • Significant genes were selected via Cox regression and LASSO analysis, validated with multiple datasets, ensuring robustness.
  • The low-risk group showed improved outcomes and immune cell infiltration, indicating potential therapeutic targets for treatment.

Cite This Study

Tong et al. (2025) studied this question.

synapsesocial.com/papers/68d43a00713b0b5dfea7a227https://doi.org/10.2147/ijwh.s537092
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Classifying the tumor immune microenvironment in cervical cancer based on nuclear cytoplasmic consistent genes2025
  2. 2Identification and validation of ubiquitination-related genes for predicting cervical cancer outcome2025
  3. 3Predictive value of MHC-related genes in cervical cancer: implications for immunotherapy and prognostic nomogram development2025
  4. 4Development and validation of a gastric cancer prognostic model utilizing lymphatic endothelial cell-related genes2025
  5. 5Risk Model Based On Neutrophil-Related Genes Constructs to Assess Prognosis and Immune Landscape in Diffuse Large B-Cell Lymphoma2025