Interaction between the microbiome and TP53 in human lung cancer

K. Leigh Greathouse(National Institutes of Health), James R. White(Resphera Biosciences), Ashley J. Vargas(National Institutes of Health), Valery Bliskovsky(National Institutes of Health), Jessica A. Beck(National Institutes of Health), Natalia von Muhlinen(National Institutes of Health), Eric C. Polley(Mayo Clinic), Elise D. Bowman(National Institutes of Health), Khan Ma(National Institutes of Health), Ana I. Robles(National Institutes of Health), Tomer Cooks(National Institutes of Health), Bríd M. Ryan(National Institutes of Health), R. Noah Padgett(Baylor University), Amiran Dzutsev(National Institutes of Health), Giorgio Trinchieri(National Institutes of Health), Marbin Pineda(National Institutes of Health), Sven Bilke(National Institutes of Health), Paul S. Meltzer(National Institutes of Health), Alexis Hokenstad(Mayo Clinic in Arizona), Tricia Stickrod(Mayo Clinic in Arizona), Marina Walther-António(Mayo Clinic in Arizona), Joshua P. Earl(Drexel University), Joshua Chang Mell(Drexel University), Jarosław E. Król(Drexel University), Sergey Balashov(Drexel University), Archana Bhat(Drexel University), Garth D. Ehrlich(Drexel University), Alex M. Valm(National Institutes of Health), Clayton Deming(National Institutes of Health), Sean Conlan(National Institutes of Health), Julia Oh(Jackson Laboratory), Julie Segre(National Institutes of Health), Curtis C. Harris(National Institutes of Health)
Genome biology
August 24, 2018
Cited by 461Open Access
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Abstract

BACKGROUND: Lung cancer is the leading cancer diagnosis worldwide and the number one cause of cancer deaths. Exposure to cigarette smoke, the primary risk factor in lung cancer, reduces epithelial barrier integrity and increases susceptibility to infections. Herein, we hypothesize that somatic mutations together with cigarette smoke generate a dysbiotic microbiota that is associated with lung carcinogenesis. Using lung tissue from 33 controls and 143 cancer cases, we conduct 16S ribosomal RNA (rRNA) bacterial gene sequencing, with RNA-sequencing data from lung cancer cases in The Cancer Genome Atlas serving as the validation cohort. RESULTS: Overall, we demonstrate a lower alpha diversity in normal lung as compared to non-tumor adjacent or tumor tissue. In squamous cell carcinoma specifically, a separate group of taxa are identified, in which Acidovorax is enriched in smokers. Acidovorax temporans is identified within tumor sections by fluorescent in situ hybridization and confirmed by two separate 16S rRNA strategies. Further, these taxa, including Acidovorax, exhibit higher abundance among the subset of squamous cell carcinoma cases with TP53 mutations, an association not seen in adenocarcinomas. CONCLUSIONS: The results of this comprehensive study show both microbiome-gene and microbiome-exposure interactions in squamous cell carcinoma lung cancer tissue. Specifically, tumors harboring TP53 mutations, which can impair epithelial function, have a unique bacterial consortium that is higher in relative abundance in smoking-associated tumors of this type. Given the significant need for clinical diagnostic tools in lung cancer, this study may provide novel biomarkers for early detection.


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