Neil Shende

Background: Despite there being a well-established connection between the gut microbiome and metabolic disease in humans, intra-tumor microbes and the mechanisms by which they regulate cell signaling, inflammation, and adipocyte growth to exacerbate disease severity in cancer patients also suffering from obesity remains largely unclear. In this study, we identified microbes to be distinctly abundant in cancer patients who are obese and correlated microbe abundance to patient survival, clinical variables, and immunological genes and pathways, in order to mechanistically explain how differential microbe abundance may influence clinical outcome. Methods: Microbial reads were aligned and extracted from raw whole-transcriptome RNA-sequencing data of cancer patient samples using Pathoscope 2.0 software. The Kruskal-Wallis test was used to correlate body mass index (BMI)-associated microbes to clinical variables. Reactome FIViz and Gene Set Enrichment Analysis were used to calculate pathway enrichment. Results: We identified specific microbes, including Pseudomonas fluorescens SBW25 and Enterobacter cloacae, and chemokine and interleukin-related genes to be potential determining factors of disease severity among cancer patients in BMI-associated groups. Gene set enrichment analysis revealed that microbes abundant in cancer tissue in obese patient samples, including Pseudomonas baetica in liver cancer patients, were significantly associated with the upregulation oncogenic, cell migration-related signaling pathways. Intra-tumor microbes from obese patient samples were also found to correlate with chemokine signaling and TFR2/NFkB-related genes, both of which have well-established roles in inflammatory activity. Conclusions: Our study significantly advances the understanding of the microbiome composition of the tumor microenvironment in patients who are obese and microbes’ relationship with clinical and immunologic variables, particularly inflammatory-related genes and pathways. We uncovered unknown mechanisms of the microbiome-immune interaction and obtained definitive data on microbiome dysbiosis in patients with obesity as a key determinant of severity of cancer, including microbe regulation of inflammasome activity. While deeper sequencing, more rigorous contamination correction, and in vitro and in vivo experiments are necessary to fully elucidate how microbe species can effectively act as therapeutic agents in probiotic and prebiotic therapies to reduce insulin resistance, inflammation, and glucose levels, our results are essential for guiding this future research. Citation Format: Aditi Gnanasekar, Neil Shende, Jaideep Chakladar, Wei T. Li, Lindsay M. Wong, Michael Karin, Weg M. Ongkeko. Influence of obesity-associated intra-tumor microbes on exacerbating cancer severity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3528.

Smoking and HPV infection are known causes for the vast majority of head and neck squamous cell carcinomas (HNSCC) due to their likelihood of causing gene dysregulation and genomic alterations. Enhancer RNAs (eRNAs) are non-coding RNAs that are known to increase nearby and target gene expression, and activity that has been suggested to be affected by genetic and epigenetic alterations. Here we sought to identify the effects of smoking and HPV status on eRNA expression in HNSCC tumors. We focused on four patient cohorts including smoking/HPV+, smoking/HPV−, non-smoking/HPV+, and non-smoking/HPV− patients. We used TCGA RNA-seq data from cancer tumors and adjacent normal tissue, extracted eRNA read counts, and correlated these to survival, clinical variables, immune infiltration, cancer pathways, and genomic alterations. We found a large number of differentially expressed eRNA in each patient cohort. We also found several dysregulated eRNA correlated to patient survival, clinical variables, immune pathways, and genomic alterations. Additionally, we were able to find dysregulated eRNA nearby seven key HNSCC-related oncogenes. For example, we found eRNA chr14:103272042–103272430 (eRNA-24036), which is located close to the TRAF3 gene to be differentially expressed and correlated with the pathologic N stage and immune cell populations. Using a separate validation dataset, we performed differential expression and immune infiltration analysis to validate our results from the TCGA data. Our findings may explain the association between eRNA expression, enhancer activity, and nearby gene dysregulation.

Patients with underlying cardiovascular conditions are particularly vulnerable to severe COVID-19. In this project, we aimed to characterize similarities in dysregulated immune pathways between COVID-19 patients and patients with cardiomyopathy, venous thromboembolism (VTE), or coronary artery disease (CAD). We hypothesized that these similarly dysregulated pathways may be critical to how cardiovascular diseases (CVDs) exacerbate COVID-19. To evaluate immune dysregulation in different diseases, we used four separate datasets, including RNA-sequencing data from human left ventricular cardiac muscle samples of patients with dilated or ischemic cardiomyopathy and healthy controls; RNA-sequencing data of whole blood samples from patients with single or recurrent event VTE and healthy controls; RNA-sequencing data of human peripheral blood mononuclear cells (PBMCs) from patients with and without obstructive CAD; and RNA-sequencing data of platelets from COVID-19 subjects and healthy controls. We found similar immune dysregulation profiles between patients with CVDs and COVID-19 patients. Interestingly, cardiomyopathy patients display the most similar immune landscape to COVID-19 patients. Additionally, COVID-19 patients experience greater upregulation of cytokine- and inflammasome-related genes than patients with CVDs. In all, patients with CVDs have a significant overlap of cytokine- and inflammasome-related gene expression profiles with that of COVID-19 patients, possibly explaining their greater vulnerability to severe COVID-19.

The intra-tumor microbiota has been increasingly implicated in cancer pathogenesis. In this study, we aimed to examine the microbiome in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) and determine its compositional differences with relation to age and gender. After grouping 497 LUAD and 433 LUSC patients by age and gender and removing potential contaminants, we identified differentially abundant microbes in each patient cohort vs. adjacent normal samples. We then correlated dysregulated microbes with patient survival rates, immune infiltration, immune and cancer pathways, and genomic alterations. We found that most age and gender cohorts in both LUAD and LUSC contained unique, significantly dysregulated microbes. For example, LUAD-associated Escherichia coli str. K-12 substr. W3110 was dysregulated in older female and male patients and correlated with both patient survival and genomic alterations. For LUSC, the most prominent bacterial species that we identified was Pseudomonas putida str. KT2440, which was uniquely associated with young LUSC male patients and immune infiltration. In conclusion, we found differentially abundant microbes implicated with age and gender that are also associated with genomic alterations and immune dysregulations. Further investigation should be conducted to determine the relationship between gender and age-associated microbes and the pathogenesis of lung cancer.

The COVID-19 pandemic is marked by a wide range of clinical disease courses, ranging from asymptomatic to deadly. There have been many studies seeking to explore the correlations between COVID-19 clinical outcomes and various clinical variables, including age, sex, race, underlying medical problems, and social habits. In particular, the relationship between smoking and COVID-19 outcome is controversial, with multiple conflicting reports in the current literature. In this study, we aim to analyze how smoking may affect the SARS-CoV-2 infection rate. We analyzed sequencing data from lung and oral epithelial samples obtained from The Cancer Genome Atlas (TCGA). We found that the receptor and transmembrane protease necessary for SARS-CoV-2 entry into host cells, ACE2 and TMPRSS2, respectively, were upregulated in smoking samples from both lung and oral epithelial tissue. We then explored the mechanistic hypothesis that smoking may upregulate ACE2 expression through the upregulation of the androgen pathway. ACE2 and TMPRSS2 upregulation were both correlated to androgen pathway enrichment and the specific upregulation of central pathway regulatory genes. These data provide a potential model for the increased susceptibility of smoking patients to COVID-19 and encourage further exploration into the androgen and tobacco upregulation of ACE2 to understand the potential clinical ramifications.