<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>15</volume><submitter>Su P</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Alternative splicing (AS) of mRNA has emerged as a promising biomarker for various tumors, playing a crucial role throughout nearly all stages of tumor progression and influencing the tumor immune microenvironment (TIME). Our study was designed to develop an AS-based signature for accurate prognosis prediction in lung adenocarcinoma (LUAD) patients, to delineate the associated immune cell landscape, and to pinpoint promising drug targets.&lt;h4>Methods&lt;/h4>Prognostic alternative splicing events (PASEs) were identified through univariate Cox regression analysis of RNA-Seq data from The Cancer Genome Atlas (TCGA). These PASEs were incorporated into a least absolute shrinkage and selection operator-Cox proportional hazards model to develop a prognostic signature. Experimental validation was performed using reverse transcription quantitative polymerase chain reaction, immunohistochemistry, and functional assays &lt;i>in vitro&lt;/i> and &lt;i>in vivo&lt;/i>.&lt;h4>Results&lt;/h4>A total of 13 PASEs were selected to form the prognostic signature, which demonstrated excellent predictive power for 1-, 2-, and 3-year overall survival (OS), with area under the receiver operating characteristic curve values of 0.776, 0.751, and 0.767, respectively. High-risk patients, identified by the signature, showed significantly decreased stromal, immune, and combined scores; increased tumor purity (&lt;i>P&lt;/i>&lt; 0.001); a reduced prevalence of various immune cell types; diminished immune cell activity; and decreased expression of immune checkpoint genes. Notably, elevated expression of cyclin-dependent kinase inhibitor 2A (CDKN2A), a gene associated with PASEs, correlated with poorer OS and significantly higher infiltration of CD8&lt;sup>+&lt;/sup> T cells, activated memory CD4&lt;sup>+&lt;/sup> T cells, and M1 macrophages compared to patients with lower expression. Further validation studies confirmed increased CDKN2A levels in LUAD tissues, with CDKN2A protein expression inversely correlated with LUAD prognosis (hazard ratio = 2.737; 95% confidence interval, 1.524-4.915; &lt;i>P&lt;/i> = 0.0002). CDKN2A was found to promote LUAD progression &lt;i>in vitro&lt;/i>. Molecular docking identified YM-201636 and VE-822 (Berzosertib) as potential drugs targeting CDKN2A, both showing promise for LUAD treatment &lt;i>in vivo&lt;/i>.&lt;h4>Conclusion&lt;/h4>PASEs constitute a comprehensive biomarker for predicting prognosis and monitoring the TIME in LUAD patients. Specifically, CDKN2A stands out as a potential prognostic biomarker and drug target for LUAD.</pubmed_abstract><journal>Frontiers in oncology</journal><pagination>1579017</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12669014</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Prognostic alternative mRNA splicing in lung adenocarcinoma.</pubmed_title><pmcid>PMC12669014</pmcid><pubmed_authors>Xu P</pubmed_authors><pubmed_authors>Su P</pubmed_authors><pubmed_authors>Xu D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Prognostic alternative mRNA splicing in lung adenocarcinoma.</name><description>&lt;h4>Background&lt;/h4>Alternative splicing (AS) of mRNA has emerged as a promising biomarker for various tumors, playing a crucial role throughout nearly all stages of tumor progression and influencing the tumor immune microenvironment (TIME). Our study was designed to develop an AS-based signature for accurate prognosis prediction in lung adenocarcinoma (LUAD) patients, to delineate the associated immune cell landscape, and to pinpoint promising drug targets.&lt;h4>Methods&lt;/h4>Prognostic alternative splicing events (PASEs) were identified through univariate Cox regression analysis of RNA-Seq data from The Cancer Genome Atlas (TCGA). These PASEs were incorporated into a least absolute shrinkage and selection operator-Cox proportional hazards model to develop a prognostic signature. Experimental validation was performed using reverse transcription quantitative polymerase chain reaction, immunohistochemistry, and functional assays &lt;i>in vitro&lt;/i> and &lt;i>in vivo&lt;/i>.&lt;h4>Results&lt;/h4>A total of 13 PASEs were selected to form the prognostic signature, which demonstrated excellent predictive power for 1-, 2-, and 3-year overall survival (OS), with area under the receiver operating characteristic curve values of 0.776, 0.751, and 0.767, respectively. High-risk patients, identified by the signature, showed significantly decreased stromal, immune, and combined scores; increased tumor purity (&lt;i>P&lt;/i>&lt; 0.001); a reduced prevalence of various immune cell types; diminished immune cell activity; and decreased expression of immune checkpoint genes. Notably, elevated expression of cyclin-dependent kinase inhibitor 2A (CDKN2A), a gene associated with PASEs, correlated with poorer OS and significantly higher infiltration of CD8&lt;sup>+&lt;/sup> T cells, activated memory CD4&lt;sup>+&lt;/sup> T cells, and M1 macrophages compared to patients with lower expression. Further validation studies confirmed increased CDKN2A levels in LUAD tissues, with CDKN2A protein expression inversely correlated with LUAD prognosis (hazard ratio = 2.737; 95% confidence interval, 1.524-4.915; &lt;i>P&lt;/i> = 0.0002). CDKN2A was found to promote LUAD progression &lt;i>in vitro&lt;/i>. Molecular docking identified YM-201636 and VE-822 (Berzosertib) as potential drugs targeting CDKN2A, both showing promise for LUAD treatment &lt;i>in vivo&lt;/i>.&lt;h4>Conclusion&lt;/h4>PASEs constitute a comprehensive biomarker for predicting prognosis and monitoring the TIME in LUAD patients. Specifically, CDKN2A stands out as a potential prognostic biomarker and drug target for LUAD.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2026-06-08T03:17:57.253Z</modification><creation>2026-06-08T03:09:05.34Z</creation></dates><accession>S-EPMC12669014</accession><cross_references><pubmed>41341386</pubmed><doi>10.3389/fonc.2025.1579017</doi></cross_references></HashMap>