结直肠癌
微生物群
阶段(地层学)
内科学
肠道微生物群
疾病
结肠疾病
医学
癌症
肿瘤科
生物
生物信息学
古生物学
作者
Doratha A. Byrd,Victoria Damerell,Maria F. Gomez,Stephanie Hogue,Tengda Lin,Jennifer Ose,Caroline Himbert,Mmadili N. Ilozumba,Christoph Kahlert,David Shibata,Adetunji T. Toriola,Christopher I. Li,Jane C. Figueiredo,W. Zac Stephens,Christy A. Warby,Sheetal Hardikar,Erin M. Siegel,June L. Round,Cornelia M. Ulrich,Biljana Gigic
摘要
Colorectal cancer (CRC) is the second overall leading cause of cancer death in the United States, with recurrence being a frequent cause of mortality. Approaches to improve disease-free survival (DFS) are urgently needed. The gut microbiome, reflected in fecal samples, is likely mechanistically linked to CRC progression and may serve as a non-invasive biomarker. Accordingly, we leveraged baseline fecal samples from N = 166 stage I-III CRC patients in the ColoCare Study, a prospective cohort of newly diagnosed CRC patients. We sequenced the V3 and V4 regions of the 16S rRNA gene to characterize fecal bacteria. We calculated estimates of alpha diversity, beta diversity, and a priori- and exploratory-selected bacterial presence/absence and relative abundance. Associations of microbial metrics with DFS were estimated using multivariable Cox proportional hazards models. We found that alpha diversity was strongly associated with improved DFS, most strongly among rectal cancer patients (Shannon HRrectum = 0.40 95% CI = 0.19, 0.87; p = .02). Overall microbiome composition differences (beta diversity), as characterized by principal coordinate axes, were statistically significantly associated with DFS. Peptostreptococcus was statistically significantly associated with worse DFS (HR = 1.62, 95% CI = 1.13, 2.31; p = .01 per 1-SD) and Order Clostridiales was associated with improved DFS (HR = 0.62, 95% CI = 0.43-0.88; p = .01 per 1-SD). In exploratory analyses, Coprococcus and Roseburia were strongly associated with improved DFS. Overall, higher bacterial diversity and multiple bacteria were strongly associated with DFS. Metagenomic sequencing to elucidate species, gene, and functional level details among larger, diverse patient populations are critically needed to support the microbiome as a biomarker of CRC outcomes.
科研通智能强力驱动
Strongly Powered by AbleSci AI