Lactylation‑based machine algorithm combined with multi‑omics analysis to predict prognosis in cervical cancer

Oncology Letters 2026 Open access

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Authors: Ruyue Wang, Li Ning, Xiaofeng Li, Yating Xu, Yu Si, Hongting Zhao, Qingling Ren
DOI: 10.3892/ol.2026.15486
Cited by: 0

Abstract

assays demonstrated that HMGN1 inhibition significantly suppressed SiHa and HeLa cell proliferation and induced S-phase arrest, highlighting its potential as a therapeutic target. In conclusion, this study developed a reliable LAG-based prognostic model and uncovered key lactylation-related mechanisms in cervical cancer, providing new insights for biomarker discovery and personalized therapeutic strategies.

Fields of Study & Subjects

Cancer-related molecular mechanisms research Ferroptosis and cancer prognosis Cervical Cancer and HPV Research

Publication details

Journal / source
Oncology Letters
Volume
31
Issue
4
Pages
1–21
Publication date
11 February 2026
Language
EN