en Radiation Biology Radiation Biology تحقيق بديع Original Research <div style="text-align: justify;"><span style="font-size:10pt"><span style="text-justify:newspaper"><span style="text-kashida-space:50%"><span style="line-height:119%"><span style="font-family:Calibri"><span style="color:black"><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Background:</span></span></span></span></span></span> <span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="language:en-US">Oral squamous cell carcinoma (OSCC) is frequently diagnosed at advanced stages, and reliable noninvasive biomarkers remain limited. Transcriptomic profiling and CT-based radiomics are increasingly used to characterize tumor heterogeneity and may provide complementary molecular and imaging information in OSCC. </span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Materials and Methods: </span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="language:en-US">Transcriptome sequencing was performed on three paired OSCC and adjacent normal tissues to identify differentially expressed genes (DEGs), followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Fifteen additional paired samples were used for validation by real-time quantitative polymerase chain reaction (RT-qPCR). In a separate exploratory subanalysis, preoperative contrast-enhanced CT images from OSCC patients were manually segmented, and radiomic features were extracted to assess potential radiogenomic associations. </span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Results: </span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="language:en-US">A total of 832 DEGs were identified, including 416 upregulated and 416 downregulated genes. Enrichment analyses showed that DEGs were mainly involved in cell cycle- and salivary secretion-related pathways. RT-qPCR confirmed significant differential expression of AQP5, LYZ, STATH, CDC7, and MCM5 (all P < 0.05), whereas CCND2 and E2F1 were not significant (both P > 0.05); exact P values are provided in the Results section and tables. In the exploratory CT analysis, high CDC7 expression was associated with irregular tumor margins and lymph node metastasis. </span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Conclusion: </span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="language:en-US">AQP5, LYZ, STATH, CDC7, and MCM5 may serve as candidate biomarkers for OSCC. Exploratory CT radiomics findings suggest that imaging phenotypes may provide complementary information for molecular stratification, but these associations require validation in larger cohorts.</span></span></span></span></span></span></span></span></span></div> Mouth neoplasms, squamous cell carcinoma of head and neck, biomarkers, tomography, x-ray computed, radiomics. 1207 1214 http://ijrr.com/browse.php?a_code=A-10-1-1634&slc_lang=en&sid=1 Y. Zhang 7900319475328460035193 7900319475328460035193 No Chongqing Key Laboratory of Development and Utilization of Genuine Medicinal Materials in Three Gorges Reservoir Area, Chongqing, China X. Li 7900319475328460035194 7900319475328460035194 No Stomatological Hospital of Chongqing Medical University, Chongqing, China P. Ha 7900319475328460035195 7900319475328460035195 No College of Medical Technology, Chongqing Three Gorges Medical College, Chongqing, China G. Zhang 7900319475328460035196 7900319475328460035196 No College of Medical Technology, Chongqing Three Gorges Medical College, Chongqing, China Y. Wang 7900319475328460035197 7900319475328460035197 No College of Medical Technology, Chongqing Three Gorges Medical College, Chongqing, China R. Gao 7900319475328460035198 7900319475328460035198 No College of Medical Technology, Chongqing Three Gorges Medical College, Chongqing, China Z. Wei 7900319475328460035199 7900319475328460035199 No College of Medical Technology, Chongqing Three Gorges Medical College, Chongqing, China C. Yin ZYL6892@163.com 7900319475328460035200 7900319475328460035200 Yes College of Medical Technology, Chongqing Three Gorges Medical College, Chongqing, China