posted on 2023-05-08, 14:20authored byVinay Jain, Divyashri Baraniya, Doaa E. El-Hadedy, Tsute Chen, Michael Slifker, Fadhl Alakwaa, Kathy Q. Cai, Kumaraswamy N. Chitrala, Christopher Fundakowski, Nezar N. Al-Hebshi
Host transcriptome. Sequences were mapped to human reference GRCh38 and quantified at the gene level using STAR aligner and HTSeq, respectively. DESeq2 was used to identify DEGs which are depicted in volcano plots for tumor versus adjacent normal (paired comparison; A), tumor versus HC (B), and adjacent normal versus HC (C)—the color code in the volcano plots corresponds to the fold change and FDR cutoffs (2 and 0.05, respectively). D, A PCA plot based on the most variable 1,500 DEGs, generated using “plotPCA" function from DESeq2 R/Bioconductor package. Lists of DEGs preranked by Wald statistic were used as input for GSEA to identify upregulated and downregulated pathways in each contrast (E–G) based on Hallmark gene sets (MSigDB 7.1).
Funding
HHS | NIH | National Institute of Dental and Craniofacial Research (NIDCR)
Dr. Cary. R. Klimen Oral Health Sciences Research Program Fund
History
ARTICLE ABSTRACT
Studies have shown that a distinct microbiome is associated with OSCC, but how the microbiome functions within the tumor interacts with the host cells remains unclear. By simultaneously characterizing the microbial and host transcriptomes in OSCC and control tissues, the study provides novel insights into microbiome-host interactions in OSCC which can be validated in future mechanistic studies.