Jiao Lei , Xuexian Yao , Li Nie , Yuyang Li , Dong Wang
{"title":"SKAP2 as a novel prognostic biomarker in HNSCC: Genetic and functional validation","authors":"Jiao Lei , Xuexian Yao , Li Nie , Yuyang Li , Dong Wang","doi":"10.1016/j.jrras.2025.101884","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>This first-of-its-kind study identifies SKAP2 as a causal prognostic biomarker in head and neck squamous cell carcinoma (HNSCC).</div></div><div><h3>Methods</h3><div>HNSCC-related datasets from the Gene Expression Omnibus (GEO) database (n = 237) were analyzed. Differential expression genes analysis (DEGs), weighted gene co-expression network analysis (WGCNA), and machine learning (LASSO/SVM-RFE/RF) - refining DEG/WGCNA outputs by prioritizing genes with high predictive power - were applied for gene screening, followed by Mendelian randomization for causal verification. Survival analysis was performed, and a SKAP2 prognostic model was constructed on the basis of TCGA-HNSC cohort data (n = 566). Functional validation was performed via SKAP2 knockdown in HNSCC cell lines (FaDu/SCC-15), assessing proliferation (CCK-8), migration (Transwell), and apoptosis (flow cytometry).</div></div><div><h3>Results</h3><div>Through DEGs analysis and WGCNA, researchers identified 153 overlapping genes critically involved in HNSCC. Three machine learning algorithms subsequently pinpointed three key disease-associated genes strongly linked to HNSCC progression. Mendelian randomization (MR) analysis revealed SKAP2 as a particularly significant causal gene (OR = 1.307; 95 % CI = 1.023–1.669; <em>P</em> = 0.032). Clinical data from the TCGA database demonstrated that HNSCC patients exhibiting elevated SKAP2 expression faced markedly worse survival outcomes (<em>P</em> = 0.018). Multivariate Cox regression analysis established SKAP2 as an independent prognostic marker (HR = 1.283; 95 % CI = 1.009–1.632; <em>P</em> = 0.042). In vitro experiments confirmed that SKAP2 knockdown significantly inhibited FaDu and SCC-15 cell proliferation (<em>P</em> < 0.001) and migration (<em>P</em> < 0.0001) and promoted apoptosis (<em>P</em> < 0.0001).</div></div><div><h3>Conclusion</h3><div>SKAP2 shows promise as a clinically significant biomarker and therapeutic target in HNSCC, though prospective trials are needed to validate clinical utility. It regulates tumor progression through proliferation and migration pathways.</div></div>","PeriodicalId":16920,"journal":{"name":"Journal of Radiation Research and Applied Sciences","volume":"18 4","pages":"Article 101884"},"PeriodicalIF":2.5000,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Radiation Research and Applied Sciences","FirstCategoryId":"103","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1687850725005965","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
This first-of-its-kind study identifies SKAP2 as a causal prognostic biomarker in head and neck squamous cell carcinoma (HNSCC).
Methods
HNSCC-related datasets from the Gene Expression Omnibus (GEO) database (n = 237) were analyzed. Differential expression genes analysis (DEGs), weighted gene co-expression network analysis (WGCNA), and machine learning (LASSO/SVM-RFE/RF) - refining DEG/WGCNA outputs by prioritizing genes with high predictive power - were applied for gene screening, followed by Mendelian randomization for causal verification. Survival analysis was performed, and a SKAP2 prognostic model was constructed on the basis of TCGA-HNSC cohort data (n = 566). Functional validation was performed via SKAP2 knockdown in HNSCC cell lines (FaDu/SCC-15), assessing proliferation (CCK-8), migration (Transwell), and apoptosis (flow cytometry).
Results
Through DEGs analysis and WGCNA, researchers identified 153 overlapping genes critically involved in HNSCC. Three machine learning algorithms subsequently pinpointed three key disease-associated genes strongly linked to HNSCC progression. Mendelian randomization (MR) analysis revealed SKAP2 as a particularly significant causal gene (OR = 1.307; 95 % CI = 1.023–1.669; P = 0.032). Clinical data from the TCGA database demonstrated that HNSCC patients exhibiting elevated SKAP2 expression faced markedly worse survival outcomes (P = 0.018). Multivariate Cox regression analysis established SKAP2 as an independent prognostic marker (HR = 1.283; 95 % CI = 1.009–1.632; P = 0.042). In vitro experiments confirmed that SKAP2 knockdown significantly inhibited FaDu and SCC-15 cell proliferation (P < 0.001) and migration (P < 0.0001) and promoted apoptosis (P < 0.0001).
Conclusion
SKAP2 shows promise as a clinically significant biomarker and therapeutic target in HNSCC, though prospective trials are needed to validate clinical utility. It regulates tumor progression through proliferation and migration pathways.
期刊介绍:
Journal of Radiation Research and Applied Sciences provides a high quality medium for the publication of substantial, original and scientific and technological papers on the development and applications of nuclear, radiation and isotopes in biology, medicine, drugs, biochemistry, microbiology, agriculture, entomology, food technology, chemistry, physics, solid states, engineering, environmental and applied sciences.