Huzhou Central Hospital, Affiliated Central Hospital HuZhou University, Zhejiang, PR China.
The Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang, PR China.
J Med Microbiol. 2023 Jun;72(6). doi: 10.1099/jmm.0.001706.
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.
性别与结直肠癌（CRC）的发生和发展有关的肠道细菌存在差异，男性 CRC 的发病率更高。CRC 患者肠道细菌与性别的临床数据尚不清楚，需要支持个体化筛查和治疗计划。分析 CRC 患者肠道细菌与性别的关系。纳入复旦大学脑人工智能科学技术研究院招募的 6077 个样本，肠道细菌组成主要显示前 30 个属。采用线性判别分析效应量（LEfSe）分析肠道细菌的差异。计算皮尔逊相关系数以显示差异细菌的关系。使用 CRC 风险预测模型对有效差异细菌的重要性进行排序。和是男性 CRC 患者中排名前三的细菌，而和是女性 CRC 患者中排名前三的细菌。与女性 CRC 患者相比，男性 CRC 患者的肠道细菌（、等）丰度更高。此外，和是重要的 CRC 相关细菌（<0.001）。最后，基于 CRC 风险预测模型对差异细菌的重要性进行了排序。和是男性 CRC 患者与女性 CRC 患者之间排名前三的重要差异细菌。在发现集中，AUC 值为 1.0，灵敏度为 92.0%，特异性为 68.4%，准确度为 83.3%。肠道细菌与性别和 CRC 相关。在使用肠道细菌治疗和预测 CRC 时，有必要考虑性别。
