Background: High recurrence and poor overall survival in buccal mucosa squamous cell carcinoma (BMSCC) are not well addressed due to lack of efficient prognostic biomarkers and targeted therapies. To uncover gene candidates for the same, transcriptome profiling has been examined in BMSCC, which is not explored yet.
Methods: We compared 9 BMSCC and 2 normal oral FFPE tissues using Agilent SurePrint G3 Human gene expression v3 microarray chips. The obtained RNA signatures were interrogated in the cancer genome atlas (TCGA) dataset for alteration values and survival data.
Results: We found total 237 protein coding RNAs and 85 long non-coding RNAs (lncRNAs) which displayed significant differential expression with criteria of at-least 2 fold change and Benjamini Hochberg FDR < .05. In protein coding RNAs, RUNX3 and EMX2 showed utmost degree of up-regulation and down-regulation, respectively. Likewise, among lncRNAs, ARGFXP2 and lnc-SYCP3-2 displayed highest degree of up-regulation and down-regulation, respectively. Besides, an analysis of the RNA list in TCGA dataset spotted deregulation of 21 genes in both, our cohort and TCGA cohort. Among which, MRTO4 and EIF3J genes, and LINC00310, a lncRNA showed greatest expression alterations. Strikingly, at RNA expression level, up-regulation of two genes, EIF3J and SDCBP, was significantly associated with disease free survival and poor overall survival, respectively.
Conclusion: Our data documented significant findings to enhance understanding of the disease biology. The proposed RNA candidates (RUNX3, EMX2, MRTO4, EIF3J, SDCBP and LINC00310) may serve as putative therapeutic targets and potential biomarkers for BMSCC diagnosis and prognosis.
Keywords: Buccal mucosa squamous cell carcinoma; Long non-coding RNAs; Microarray; Transcriptome.
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