Published Paper Details:

OSCC ranks among the primary cancer types of oral tissues because people often get diagnosed too late while having few available treatment methods. Transcriptomic profiling allows effective gene expression modification studies of OSCC because it reveals essential molecular pathways along with biomarker candidates. Analyses focusing on single genes have typically produced unstable results which stem from variations in sample origin together with unique experimental techniques and study protocols. Data analysis of different research studies through transcriptomic assessment leads researchers to achieve better statistical evaluations and enhance the determination of differentially expressed genes. The review aggregates microarray meta-analysis results to determine persistently affected genes which play a role in developing OSCC. ANO1 Nucleotide Transporter (AE1/A2) demonstrated partnership with FADD Death Fas-Associated Domain and STAT1 Signal Transducer Activator and Transcription Factor and EGFR Epidermal Growth Factor Receptor and CPBP CPEB-Reacting Factor Protein as crucial proteins that drive OSCC progression through their effect on PI3K/AKT/mTOR signaling pathways and ECM remodeling and immune system functions. The synthesis of biomarker discoveries with literature review and wide transcriptional analysis led scientists to new therapeutic targets for managing OSCC. Scientific investigations should include the combination of next-generation sequencing (NGS) with machine learning methods to enhance accuracy when using oral cancer transcriptomic biomarkers.