Comparative analysis of the tumor microbiome, molecular profiles, and immune cell abundances by HPV status in mucosal head and neck cancers and their impact on survival.
Rituraj UpadhyayAastha DhakalCaroline WheelerRebecca HoydMalvenderjit Jagjit SinghVidhya KariveduPriyanka BhatejaMarcelo BonomiSasha ValentinMauricio E GamezDavid J KonieczkowskiSujith BaligaJohn C GreculaDukagjin M BlakajEmile GogineniDarrion L MitchellNicholas C DenkoDaniel SpakowiczSachin M JhawarPublished in: Cancer biology & therapy (2024)
Head and Neck Squamous Cell Carcinoma (HNSCC) comprises a diverse group of tumors with variable treatment response and prognosis. The tumor microenvironment (TME), which includes microbiome and immune cells, can impact outcomes. Here, we sought to relate the presence of specific microbes, gene expression, and tumor immune infiltration using tumor transcriptomics from The Cancer Genome Atlas (TCGA) and associate these with overall survival (OS). RNA sequencing (RNAseq) from HNSCC tumors in TCGA was processed through the exogenous sequences in tumors and immune cells (exotic) pipeline to identify and quantify low-abundance microbes. The detection of the Papillomaviridae family of viruses assessed HPV status. All statistical analyses were performed using R. A total of 499 RNAseq samples from TCGA were analyzed. HPV was detected in 111 samples (22%), most commonly Alphapapillomavirus 9 (90.1%). The presence of Alphapapillomavirus 9 was associated with improved OS [HR = 0.60 (95%CI: 0.40-0.89, p = .01)]. Among other microbes, Yersinia pseudotuberculosis was associated with the worst survival (HR = 3.88; p = .008), while Pseudomonas viridiflava had the best survival (HR = 0.05; p = .036). Microbial species found more abundant in HPV- tumors included several gram-negative anaerobes. HPV- tumors had a significantly higher abundance of M0 ( p < .001) and M2 macrophages ( p = .035), while HPV+ tumors had more T regulatory cells ( p < .001) and CD8+ T-cells ( p < .001). We identified microbes in HNSCC tumor samples significantly associated with survival. A greater abundance of certain anaerobic microbes was seen in HPV tumors and pro-tumorigenic macrophages. These findings suggest that TME can be used to predict patient outcomes and may help identify mechanisms of resistance to systemic therapies.
Keyphrases
- high grade
- gene expression
- gram negative
- single cell
- cervical cancer screening
- multidrug resistant
- microbial community
- free survival
- dna methylation
- antibiotic resistance genes
- escherichia coli
- metabolic syndrome
- type diabetes
- transcription factor
- wastewater treatment
- cell death
- cystic fibrosis
- adipose tissue
- insulin resistance
- skeletal muscle
- young adults
- weight loss
- endoplasmic reticulum stress
- pi k akt
- childhood cancer