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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Vaccines and Molecular Therapeutics

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1656593

This article is part of the Research TopicPrecision Therapeutics in Rare Cancers: Targeting Tumor Microenvironment and Biomarker-Driven ApproachesView all 7 articles

Construction of a prognostic model based on palmitoylation-related lncRNAs for assessing drug benefits in breast cancer

Provisionally accepted
Yan  WangYan Wang1Mengsi  ZhangMengsi Zhang1Yuqin  ZhouYuqin Zhou1Zaozhuo  LiZaozhuo Li2Xinglin  YiXinglin Yi1*Lin  RenLin Ren1*Yi  ZhangYi Zhang1*
  • 1Army Medical University, Chongqing, China
  • 2Chinese People's Armed Police Force Shanxi Provincial Corps Hospital, Taiyuan, China

The final, formatted version of the article will be published soon.

Background: The lncRNAs associated with protein palmitoylation in breast cancer (BC) remain largely unexplored. Methods: We retrieved transcriptome, proteome, and mutation data from TCGA-BRCA (BC), identified 592 palmitoylation-related lncRNAs (PRLs), constructed a prognostic model (PmPRLs) based on their characteristics. According to the score of the median risk, the "High-"and "Low" risk groups were distinguished. The predictive potential of PmPRLs for the prognosis of BC was determined through Kaplan-Meier (KM) survival analysis, ROC curve analysis, and risk scoring verification using the training set and validation set. The differences of PmPRLs in different risk groups were illustrated by using gene mutation frequency, immune function, tumor immune dysfunction and rejection (TIDE) score and drug sensitivity analysis. Based on this model, key feature LncRNAs were screened out. After the identified LncRNAs were verified by the external dataset TANRIC, a series of tumor phenotypic experiments were conducted to comprehensively demonstrate their role in tumorigenesis and development. Results: We identified 2 key feature lncRNAs, AC016394.2 and AC022150.4, as the most significant prognostic factors. Both of these lncRNAs exhibited high expression levels in the TCGA and TANRIC datasets and were closely associated with tumor cell growth, proliferation, and migration. More importantly, based on co-expression analysis, we proposed that AC016394.2 and AC022150.4 may respectively regulate SEC24C and ZNF611. Furthermore, these two lncRNAs enhanced the palmitoylation modification of these proteins. Conclusion: The insights regarding the potential roles of AC016394.2 and AC022150.4 can enhance our understanding of the mechanisms towards the pathogenesis and progression of BC.

Keywords: Palmitoylation-related lncRNA, breast cancer, Prognostic model, potential therapeutic targets, drug benefits

Received: 30 Jun 2025; Accepted: 10 Oct 2025.

Copyright: © 2025 Wang, Zhang, Zhou, Li, Yi, Ren and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Xinglin Yi, xinglinyi2024@163.com
Lin Ren, renlin@tmmu.edu.cn
Yi Zhang, yzhang@tmmu.edu.cn

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