1887

Abstract

Differences in gut bacteria that are associated with the occurrence and development of colorectal cancer (CRC) exist between sexes, and males have a higher morbidity of CRC.

Clinical data for the relationship between gut bacteria and sexes in patients with CRC are not available and are needed to support individualized screening and treatment programmes.

To analyse the relationship between gut bacteria and sexes in patients with CRC.

A total of 6 077 samples recruited by Fudan University’s Academy of Brain Artificial Intelligence Science and Technology were included, and the gut bacteria composition mainly shows the top 30 genera. Linear discriminant analysis Effect Size (LEfSe) was used to analyse the differences in gut bacteria. Pearson correlation coefficients were calculated to demonstrate the relationship of discrepant bacteria. CRC risk prediction models were used to rank the importance of valid discrepant bacteria.

and were the top three bacteria in males with CRC, while and were the top three bacteria in females with CRC. The abundance of gut bacteria (, , etc.) was higher in males with CRC compared with that in females with CRC. In addition, and were important CRC-related bacteria (<0.001). Finally, the importance of discrepant bacteria was ranked based on CRC risk prediction models. and were the top three important discrepant bacteria between males with CRC and females with CRC. The value of AUC was 1.0, the sensitivity was 92.0 %, the specificity was 68.4 %, and the accuracy was 83.3 % in the discovery set.

Gut bacteria were correlated with sexes and CRC. It is necessary to consider gender when gut bacteria are used to treat and predict CRC.

Keyword(s): colorectal cancer , gut bacteria and sex
Funding
This study was supported by the:
  • Key research and development project of Science and Technology Department of Zhejiang Province (Award No.2022C03026)
    • Principle Award Recipient: XiYang
  • Medical Science and Technology Project of Zhejiang Province (Award No.2021KY343)
    • Principle Award Recipient: XiYang
  • Medical and Health Technology Project of Zhejiang Province (Award No.2022KY1220)
    • Principle Award Recipient: XiYang
  • Natural Science Foundation of Zhejiang Province (Award No. LQ23H160006)
    • Principle Award Recipient: XiYang
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/content/journal/jmm/10.1099/jmm.0.001706
2023-06-09
2024-05-17
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References

  1. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2021. CA Cancer J Clin 2021; 71:7–33 [View Article] [PubMed]
    [Google Scholar]
  2. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I et al. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2021; 71:209–249 [View Article] [PubMed]
    [Google Scholar]
  3. Kim SE, Paik HY, Yoon H, Lee JE, Kim N et al. Sex- and gender-specific disparities in colorectal cancer risk. WJG 2015; 21:5167 [View Article]
    [Google Scholar]
  4. Mansouri D, McMillan DC, Grant Y, Crighton EM, Horgan PG. The impact of age, sex and socioeconomic deprivation on outcomes in a colorectal cancer screening programme. PLoS One 2013; 8:e66063 [View Article] [PubMed]
    [Google Scholar]
  5. Hang D, Shen H. Sex hormone and colorectal cancer: the knowns and unknowns. Cancer Epidemiol Biomarkers Prev 2021; 30:1302–1304 [View Article] [PubMed]
    [Google Scholar]
  6. Hases L, Ibrahim A, Chen X, Liu Y, Hartman J et al. The importance of sex in the discovery of colorectal cancer prognostic biomarkers. Int J Mol Sci 2021; 22:1354 [View Article] [PubMed]
    [Google Scholar]
  7. Chen H, Zheng X, Zong X, Li Z, Li N et al. Metabolic syndrome, metabolic comorbid conditions and risk of early-onset colorectal cancer. Gut 2021; 70:1147–1154 [View Article]
    [Google Scholar]
  8. Sinicrope FA. Lynch syndrome-associated colorectal cancer. N Engl J Med 2018; 379:764–773 [View Article] [PubMed]
    [Google Scholar]
  9. Wong SH, Yu J. Gut microbiota in colorectal cancer: mechanisms of action and clinical applications. Nat Rev Gastroenterol Hepatol 2019; 16:690–704 [View Article] [PubMed]
    [Google Scholar]
  10. Montalban-Arques A, Scharl M. Intestinal microbiota and colorectal carcinoma: Implications for pathogenesis, diagnosis, and therapy. EBioMedicine 2019; 48:648–655 [View Article] [PubMed]
    [Google Scholar]
  11. Zhao Y, Wang C, Goel A. Role of gut microbiota in epigenetic regulation of colorectal Cancer. Biochim Biophys Acta Rev Cancer 2021; 1875:188490 [View Article] [PubMed]
    [Google Scholar]
  12. Wang T, Cai G, Qiu Y, Fei N, Zhang M et al. Structural segregation of gut microbiota between colorectal cancer patients and healthy volunteers. ISME J 2012; 6:320–329 [View Article] [PubMed]
    [Google Scholar]
  13. Flemer B, Lynch DB, Brown JMR, Jeffery IB, Ryan FJ et al. Tumour-associated and non-tumour-associated microbiota in colorectal cancer. Gut 2017; 66:633–643 [View Article]
    [Google Scholar]
  14. DeDecker L, Coppedge B, Avelar-Barragan J, Karnes W, Whiteson K. Microbiome distinctions between the CRC carcinogenic pathways. Gut Microbes 2021; 13:1854641 [View Article] [PubMed]
    [Google Scholar]
  15. Janney A, Powrie F, Mann EH. Host-microbiota maladaptation in colorectal cancer. Nature 2020; 585:509–517 [View Article] [PubMed]
    [Google Scholar]
  16. Thackray VG. Sex, microbes, and polycystic ovary syndrome. Trends Endocrinol Metab 2019; 30:54–65 [View Article] [PubMed]
    [Google Scholar]
  17. Dominianni C, Sinha R, Goedert JJ, Pei Z, Yang L et al. Sex, body mass index, and dietary fiber intake influence the human gut microbiome. PLoS One 2015; 10:e0124599 [View Article] [PubMed]
    [Google Scholar]
  18. Kim YS, Unno T, Kim BY, Park MS. Sex differences in gut microbiota. World J Mens Health 2020; 38:48–60 [View Article] [PubMed]
    [Google Scholar]
  19. Org E, Mehrabian M, Parks BW, Shipkova P, Liu X et al. Sex differences and hormonal effects on gut microbiota composition in mice. Gut Microbes 2016; 7:313–322 [View Article] [PubMed]
    [Google Scholar]
  20. Ocvirk S, O’Keefe SJD. Dietary fat, bile acid metabolism and colorectal cancer. Semin Cancer Biol 2021; 73:347–355 [View Article] [PubMed]
    [Google Scholar]
  21. Gao X, Zhang M, Xue J, Huang J, Zhuang R et al. Body mass index differences in the gut microbiota are gender specific. Front Microbiol 2018; 9:1250 [View Article] [PubMed]
    [Google Scholar]
  22. Dominianni C, Sinha R, Goedert JJ, Pei Z, Yang L et al. Sex, body mass index, and dietary fiber intake influence the human gut microbiome. PLoS One 2015; 10:e0124599 [View Article] [PubMed]
    [Google Scholar]
  23. Segata N, Izard J, Waldron L, Gevers D, Miropolsky L et al. Metagenomic biomarker discovery and explanation. Genome Biol 2011; 12:R60 [View Article] [PubMed]
    [Google Scholar]
  24. Shuwen H, Xi Y, Qing Z, Jing Z, Wei W. Predicting biomarkers from classifier for liver metastasis of colorectal adenocarcinomas using machine learning models. Cancer Med 2020; 9:6667–6678 [View Article]
    [Google Scholar]
  25. Wirbel J, Zych K, Essex M, Karcher N, Kartal E et al. Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox. Genome Biol 2021; 22:93 [View Article] [PubMed]
    [Google Scholar]
  26. Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B et al. Scikit-learn: machine learning in python. J Mach Learn Res 2011; 12:2825–2830
    [Google Scholar]
  27. Falony G, Joossens M, Vieira-Silva S, Wang J, Darzi Y et al. Population-level analysis of gut microbiome variation. Science 2016; 352:560–564 [View Article] [PubMed]
    [Google Scholar]
  28. Heo JW, Kim SE, Sung MK. Sex differences in the incidence of obesity-related gastrointestinal cancer. Int J Mol Sci 2021; 22:1253 [View Article] [PubMed]
    [Google Scholar]
  29. Martin HM, Campbell BJ, Hart CA, Mpofu C, Nayar M et al. Enhanced Escherichia coli adherence and invasion in Crohn’s disease and colon cancer. Gastroenterology 2004; 127:80–93 [View Article] [PubMed]
    [Google Scholar]
  30. Nouri R, Hasani A, Shirazi KM, Alivand MR, Sepehri B et al. Escherichia coli and colorectal cancer: unfolding the enigmatic relationship. Curr Pharm Biotechnol 2022; 23:1257–1268 [View Article]
    [Google Scholar]
  31. Stoeva MK, Garcia-So J, Justice N, Myers J, Tyagi S et al. Butyrate-producing human gut symbiont, Clostridium butyricum, and its role in health and disease. Gut Microbes 2021; 13:1–28 [View Article] [PubMed]
    [Google Scholar]
  32. Liu X, Mao B, Gu J, Wu J, Cui S et al. Blautia —a new functional genus with potential probiotic properties?. Gut Microbes 2021; 13:1–21 [View Article]
    [Google Scholar]
  33. Cai C, Zhang X, Liu Y, Shen E, Feng Z et al. Gut microbiota imbalance in colorectal cancer patients, the risk factor of COVID-19 mortality. Gut Pathog 2021; 13:70 [View Article] [PubMed]
    [Google Scholar]
  34. Loke MF, Chua EG, Gan HM, Thulasi K, Wanyiri JW et al. Metabolomics and 16S rRNA sequencing of human colorectal cancers and adjacent mucosa. PLoS One 2018; 13:e0208584 [View Article] [PubMed]
    [Google Scholar]
  35. Sarhadi V, Lahti L, Saberi F, Youssef O, Kokkola A et al. Gut microbiota and host gene mutations in colorectal cancer patients and controls of Iranian and finnish origin. Anticancer Res 2020; 40:1325–1334 [View Article] [PubMed]
    [Google Scholar]
  36. Yang J, McDowell A, Kim EK, Seo H, Lee WH et al. Development of a colorectal cancer diagnostic model and dietary risk assessment through gut microbiome analysis. Exp Mol Med 2019; 51:1–15 [View Article] [PubMed]
    [Google Scholar]
  37. Fang CY, Chen JS, Hsu BM, Hussain B, Rathod J et al. Colorectal cancer stage-specific fecal bacterial community fingerprinting of the Taiwanese population and underpinning of potential taxonomic biomarkers. Microorganisms 2021; 9:1548 [View Article] [PubMed]
    [Google Scholar]
  38. Zafar H, Saier MH. Gut bacteroides species in health and disease. Gut Microbes 2021; 1:1–20
    [Google Scholar]
  39. Cheng Y, Ling Z, Li L. The intestinal microbiota and colorectal cancer. Front Immunol 2020; 11:615056 [View Article] [PubMed]
    [Google Scholar]
  40. Haro C, Rangel-Zúñiga OA, Alcalá-Díaz JF, Gómez-Delgado F, Pérez-Martínez P et al. Intestinal microbiota is influenced by gender and body mass index. PLoS One 2016; 11:e0154090 [View Article] [PubMed]
    [Google Scholar]
  41. Zhang X, Zhong H, Li Y, Shi Z, Ren H et al. Sex- and age-related trajectories of the adult human gut microbiota shared across populations of different ethnicities. Nat Aging 2021; 1:87–100 [View Article]
    [Google Scholar]
  42. Shuwen H, Yinhang W, Xingming Z, Jing Z, Jinxin L et al. Using whole-genome sequencing (WGS) to plot colorectal cancer-related gut microbiota in a population with varied geography. Gut Pathog 2022; 14:50 [View Article] [PubMed]
    [Google Scholar]
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