PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 20, 2026International Journal of Molecular Sciences0 citationsOpen Access

Construction of a Lysine Lactylation- and DNA Damage Repair-Related Gene Signature to Predict the Prognosis and Drug Sensitivity of Breast Cancer Patients

View Full Paper
LZLiang ZhuCYChenwei YuanYLYaorong Li

Key Points

  • The study aims to create a gene signature linked to lysine lactylation and DNA damage repair for predicting prognosis and drug sensitivity in breast cancer patients.
  • Developed a prognostic gene signature (KLDRI) using LASSO-Cox regression with genes such as PGK1 and RPA3.
  • Stratified patients into high- and low-risk groups based on KLDRI and validated using TCGA and METABRIC cohorts.
  • Conducted tumor microenvironment and drug sensitivity analyses between risk groups.
  • The KLDRI demonstrated a robust prognostic value, with high-risk patients showing worse overall survival.
  • High-risk patients exhibited an immunologically suppressed tumor microenvironment compared to low-risk patients.
  • RPA3 knockdown resulted in reduced cell proliferation and migration and increased sensitivity to cisplatin treatment.

Abstract

Breast cancer is prevalent and deadly, affecting women worldwide. Increasing research suggests that lysine lactylation (KLA) and DNA damage repair (DDR) play critical roles in tumor progression and that KLA and DDR are interconnected, as KLA can modulate DDR protein function, thereby influencing genome stability and drug response, while DDR signaling can reciprocally reshape lactate metabolism and KLA activity. In this study, we developed a novel prognostic gene signature (KLA and DDR index, KLDRI) based on KLA- and DDR-related genes. Model genes (PGK1, MORF4L2, RAD54B, RPA3, CCND2) were generated via LASSO-Cox regression. Patients were stratified into high- and low-risk groups according to KLDRI, the robust prognostic value of which was demonstrated via survival and validation analyses in the TCGA cohort and the METABRIC and GSE96058 cohorts, respectively. Tumor microenvironment analysis indicated an immunologically suppressed phenotype in high-risk patients, whereas low-risk patients exhibited an immune-inflamed microenvironment. Drug sensitivity analysis indicated reduced sensitivity to multiple chemotherapy and targeted therapy drugs in the high-risk group. Single-cell transcriptomic analysis revealed differential gene expression patterns between risk groups. A prognostic nomogram based on KLDRI was developed to predict overall survival. Furthermore, functional experiments demonstrated that RPA3 knockdown suppressed cancer cell proliferation and migration, sensitized cells to cisplatin treatment, and reduced global lactylation, which may serve as a novel biomarker and potential therapeutic target. These findings enhance our understanding of the interplay between KLA, DDR, and breast cancer progression, facilitating the development of personalized therapeutic strategies.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Zhu et al. (2026) studied this question.

synapsesocial.com/papers/6a0d5089f03e14405aa9c6c2https://doi.org/10.3390/ijms27104493
Ask AI
Helpful
Bookmark
Share
View Full Paper