BGI Research, Shenzhen, 518083, China.
BGI Genomics, Shenzhen, 518083, China.
Nat Commun. 2024 Apr 22;15(1):3396. doi: 10.1038/s41467-024-47523-x.
The incidence of young-onset colorectal cancer (yCRC) has been increasing in recent decades, but little is known about the gut microbiome of these patients. Most studies have focused on old-onset CRC (oCRC), and it remains unclear whether CRC signatures derived from old patients are valid in young patients. To address this, we assembled the largest yCRC gut metagenomes to date from two independent cohorts and found that the CRC microbiome had limited association with age across adulthood. Differential analysis revealed that well-known CRC-associated taxa, such as Clostridium symbiosum, Peptostreptococcus stomatis, Parvimonas micra and Hungatella hathewayi were significantly enriched (false discovery rate <0.05) in both old- and young-onset patients. Similar strain-level patterns of Fusobacterium nucleatum, Bacteroides fragilis and Escherichia coli were observed for oCRC and yCRC. Almost all oCRC-associated metagenomic pathways had directionally concordant changes in young patients. Importantly, CRC-associated virulence factors (fadA, bft) were enriched in both oCRC and yCRC compared to their respective controls. Moreover, the microbiome-based classification model had similar predication accuracy for CRC status in old- and young-onset patients, underscoring the consistency of microbial signatures across different age groups.
近年来,青年结直肠癌(yCRC)的发病率一直在上升,但人们对这些患者的肠道微生物组知之甚少。大多数研究都集中在老年结直肠癌(oCRC)上,目前尚不清楚从老年患者中得出的 CRC 特征在年轻患者中是否有效。为了解决这个问题,我们从两个独立的队列中汇集了迄今为止最大的 yCRC 肠道宏基因组,发现 CRC 微生物组与成年期的年龄相关性有限。差异分析显示,众所周知的 CRC 相关分类群,如共生梭菌(Clostridium symbiosum)、口腔消化链球菌(Peptostreptococcus stomatis)、微小帕米翁斯菌(Parvimonas micra)和哈氏食管菌(Hungatella hathewayi),在老年和青年发病患者中均显著富集(错误发现率<0.05)。oCRC 和 yCRC 中也观察到了类似的具核梭杆菌(Fusobacterium nucleatum)、脆弱拟杆菌(Bacteroides fragilis)和大肠杆菌(Escherichia coli)的菌株水平模式。几乎所有与 oCRC 相关的宏基因组途径在年轻患者中都有方向性一致的变化。重要的是,与各自的对照相比,oCRC 和 yCRC 中都富集了与 CRC 相关的毒力因子(fadA、bft)。此外,基于微生物组的分类模型对老年和青年发病患者的 CRC 状态具有相似的预测准确性,这突显了不同年龄组之间微生物特征的一致性。