FIGURE 6 from Integrative Metatranscriptomic Analysis Reveals Disease-specific Microbiome–host Interactions in Oral Squamous Cell Carcinoma

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posted on 2023-05-08, 14:20 authored by Vinay 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

Microbiome-host data integration. Unsupervised Spearman rank correlation was performed between appropriately transformed host gene and microbial genus counts. Significant correlations were defined as those with absolute correlation coefficient (r_s) ≥ 0.6 and FDR ≤ 0.05. For each microbial feature, the correlating genes, ranked by r_s, were subjected to GSEA. A, Genera that correlated with >1,000 host genes and whether GSEA turned significant results for each genus. B, Interaction of selected genera with the host pathways based on GSEA results. Red edges denote activation while blue edges denote inhibition. For each edge, the number of genes involved is displayed. C–E, MSigDB genes with the highest correlations with Roseolovirus, Cutibacterium and Yuavirus, respectively. Red edges denote positive correlation while blue edges denote inhibition. For each edge, r_s is displayed.

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.