Greathouse, K Leigh

Objective Obesity is a risk factor for colorectal cancer (CRC), accounting for more than 14% of CRC incidence. Microbial dysbiosis and chronic inflammation are common characteristics in both obesity and CRC. Human and murine studies, together, demonstrate the significant impact of the microbiome in governing energy metabolism and CRC development; yet, little is understood about the contribution of the microbiome to development of obesity-associated CRC as compared to individuals who are not obese. Design In this study, we conducted a meta-analysis using five publicly available stool and tissue-based 16S rRNA and whole genome sequencing (WGS) data sets of CRC microbiome studies. High-resolution analysis was employed for 16S rRNA data, which allowed us to achieve species-level information to compare with WGS. Results Characterisation of the confounders between studies, 16S rRNA variable region and sequencing method did not reveal any significant effect on alpha diversity in CRC prediction. Both 16S rRNA and WGS were equally variable in their ability to predict CRC. Results from diversity analysis confirmed lower diversity in obese individuals without CRC; however, no universal differences were found in diversity between obese and non-obese individuals with CRC. When examining taxonomic differences, the probability of being classified as CRC did not change significantly in obese individuals for all taxa tested. However, random forest classification was able to distinguish CRC and non-CRC stool when body mass index was added to the model. Conclusion Overall, microbial dysbiosis was not a significant factor in explaining the higher risk of colon cancer among individuals with obesity.

Abstract 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 function and increases susceptibility to infections. Herein, we hypothesized that somatic mutations together with cigarette smoke create a dysbiotic microbiota that is associated with lung carcinogenesis. Using lung tissue from controls (n=33) or cancer cases (n=143), we conducted 16S rRNA gene sequencing (MiSeq), with RNA-seq data from lung cancer cases in The Cancer Genome Atlas (n=1112) serving as the validation cohort. We demonstrate a lower alpha diversity in normal lung as compared to non-tumor adjacent or tumor tissue, indicating a shift in the overall microbial community in lung cancer patients as compared to those without cancer. Lung cancer cases were classified by the relative abundance of two taxa, Variovorax and Streptococcus, with an increase in Variovorax abundance in tumors as compared to non-tumor adjacent paired lung tissue (FDR corrected P=0.013). The species of Variovorax was identified histologically, and also by two additional 16S rRNA strategies (Resphera Insight analysis and PacBio sequencing). A group of taxa were associated with squamous cell carcinoma (SCC), of which Acidovorax were enriched in smokers (P =0.0013). Further, these taxa, including Acidovorax, exhibited higher abundance among the subset of SCC cases with TP53 mutations, an association not seen in adenocarcinomas (AD). Therefore, we observed a microbiome-gene and a microbiome-exposure interaction in SCC lung cancer tissue. Together, these results open the door for future biomarker research that could be used to improve screening and direct mechanistic studies of lung cancer therapy. Citation Format: Leigh Greathouse, James White, Valery Bliskovsky, Ashley Vargas, Eric Polley, Elise Bowman, Mohammed Khan, Ana Robles, Brid Ryan, Amiran Dzutsev, Giorgio Trinchieri, Marbin Pineda, Sven Bilke, Paul Meltzer, Marina Walther-Antonio, Garth Ehrlich, Joshua Mell, Joshua Earl, Sergey Balashov, Archana Bhat, Alex Valm, Clayton Deming, Sean Conlan, Julia Oh, Julie Segre, Curtis Harris. Microbiome-TP53 gene interaction in human lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4925. doi:10.1158/1538-7445.AM2017-4925

Abstract Children who are exposed to secondhand smoke (SHS) are faced with an increased risk of nicotine dependence later in life. We have previously shown that children exposed to SHS have an increased risk of lung cancer as adults. Furthermore, genetic variation plays a role in the susceptibility of individuals to lung cancer. The gene DRD1 mediates dopamine signaling following nicotine exposure, thus we reasoned that DRD1 may be related to lung cancer via modulation of the nicotine reward pathway. Our previous studies identified 4 SNPs (rs4809294, rs2292975, rs4861327, rs686) that were predicted to modulate a microRNA binding site and we assessed the association of these SNPs with lung cancer risk. Our current study investigated whether these SNPs were associated with nicotine dependence and whether this had a subsequent effect on lung cancer risk. We used the National Cancer Institute-Maryland lung cancer case-control study. Cases and controls were recruited from the greater Baltimore metropolitan area. We used ordinal logistic regression to examine the association between SNPs and nicotine dependence. Logistic regression adjusted for age, gender and smoking was used to assess the association between SNPs and lung cancer risk. No significant associations were found between genotypes in the 4 SNPs and nicotine dependence levels (n=1,450). Individuals with the heterozygous allele (AG) exposed to SHS during childhood had increased odds of lung cancer compared to those with the homozygous wild type allele (AA) for rs686 (OR=1.52, CI= 1.12, 2.07). Individuals with the homozygous variant allele (GG) exposed to childhood SHS had increased odds of lung cancer compared to individuals with the homozygous wild type allele (AA) (OR=2.11, CI= 1.45, 3.10). Individuals with the heterozygous allele (GA) and the highest levels of nicotine dependence who were also exposed to childhood SHS, had higher odds of lung cancer than those with the homozygous recessive allele (AA) (OR=3.50, CI=1.37, 8.96). Consistent with earlier findings, heterozygotes (AG) had increased odds of lung cancer but this was not statistically significant (OR=1.90, CI= 0.82, 4.40). To further explore this association, we examined the effect of race on this relationship. Caucasians with the heterozygous allele (AG), the highest levels of nicotine dependence and childhood SHS, had increased odds of lung cancer compared to those with the homozygous recessive allele (AA) for rs686 (OR=1.47, CI=1.06, 2.05). Caucasians with the homozygous allele (GG) who were exposed to childhood SHS, had higher odds of lung cancer compared to individuals with the homozygous recessive allele (AA) for rs686 (OR=1.84, CI=1.15, 2.98). No association was found among African Americans. Although none of the SNPs examined were found to be associated with nicotine dependence, it appears that variations in rs686 may modify an individual's susceptibility to lung cancer due to SHS exposure. Citation Format: Victoria A. Zigmont, Brid M. Ryan, Jin Jen, Ana I. Robles, Cain McClary, Kara Calhoun, Elise D. Bowman, Kirsi Vähäkangas, K. Leigh Greathouse, Wang Yi, Angela S. Wenzlaff, Bo Deng, Ping Yang, Ann G. Schwartz, Curtis C. Harris, Susan Olivo Marston. Childhood exposure to secondhand smoke, nicotine dependence, and DRD1 are associated with lung cancer risk. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2156. doi:10.1158/1538-7445.AM2014-2156

Abstract Lung cancer has a familial component which suggests a genetic contribution to its etiology. Given the strong evidence linking smoking with lung cancer, we studied miRNA-related loci in genes associated with smoking behavior. CHRNA, CHRNB gene families, CYP2A6, and DRD1 (dopamine receptor D1) were mined for SNPs that fell within the seed region of miRNA binding sites and then tested for associations with risk in a three-stage validation approach. A 3′UTR (untranslated region) SNP in DRD1 was associated with a lower risk of lung cancer among individuals exposed to secondhand smoke during childhood [OR, 0.69; 95% confidence interval (CI), 0.60–0.79; P < 0.0001]. This relationship was evident in both ever (OR, 0.74; 95% CI, 0.62–0.88; P = 0.001) and never smokers (OR, 0.61; 95% CI, 0.47–0.79; P < 0.0001), European American (OR, 0.65; 95% CI, 0.53–0.80; P < 0.0001), and African American (OR, 0.73; 95% CI, 0.62–0.88; P = 0.001) populations. Although much remains undefined about the long-term risks associated with exposure to secondhand smoke and heterogeneity between individuals in regard to their susceptibility to the effects of secondhand smoke, our data show an interaction between an SNP in the 3′UTR of DRD1 and exposure to secondhand smoke during childhood. Further work is needed to explore the mechanistic underpinnings of this SNP and the nature of the interaction between DRD1 and exposure to secondhand smoke during childhood. Cancer Prev Res; 7(12); 1210–8. ©2014 AACR.