Gómez-Moreno Ramón, González-Pons María, Soto-Salgado Marievelisse, Cruz-Correa Marcia, Baerga-Ortiz Abel
University of Puerto Rico Medical Sciences Campus, San Juan 00936, Puerto Rico.
Molecular Sciences Research Center, San Juan 00926, Puerto Rico.
Diseases. 2019 Feb 1;7(1):16. doi: 10.3390/diseases7010016.
Gut bacterial toxins are thought to contribute to the development of colorectal cancer (CRC). This study examines the presence of specific gut bacterial toxin genes in stool samples from individuals with colorectal neoplasia (adenomas and/or CRC). The presence of bacterial genes encoding genotoxic or pro-inflammatory factors (, , , , , and ) was established by PCR of stool samples from individuals from mainland US ( = 30; controls = 10, adenoma = 10, CRC = 10) and from Puerto Rico (PR) ( = 33; controls = 13; adenomas = 8; CRC = 12). Logistic regression models and multinomial logistic regression models were used to estimate the magnitude of association. Distinct bacterial gene profiles were observed in each sample cohort. In individuals with CRC, was detected more frequently in samples from the US and in samples from PR. In samples from PR, individuals with ≥2 gut bacterial toxin genes in stool had higher odds of having colorectal neoplasia (OR = 11.0, 95%: CI 1.0⁻637.1): however, no significant association between bacterial genes and colorectal neoplasia was observed in the US cohort. Further analyses are warranted in a larger cohort to validate these preliminary findings, but these encouraging results highlight the importance of developing bacterial markers as tools for CRC diagnosis or risk stratification.
肠道细菌毒素被认为与结直肠癌(CRC)的发生发展有关。本研究检测了结直肠肿瘤(腺瘤和/或CRC)患者粪便样本中特定肠道细菌毒素基因的存在情况。通过对来自美国大陆(n = 30;对照组 = 10,腺瘤 = 10,CRC = 10)和波多黎各(PR)(n = 33;对照组 = 13;腺瘤 = 8;CRC = 12)的个体粪便样本进行PCR,确定了编码基因毒性或促炎因子(、、、、、和)的细菌基因的存在情况。使用逻辑回归模型和多项逻辑回归模型来估计关联强度。在每个样本队列中观察到了不同的细菌基因谱。在CRC患者中,在美国样本中更频繁地检测到,而在PR样本中更频繁地检测到。在PR的样本中,粪便中≥2种肠道细菌毒素基因的个体患结直肠肿瘤的几率更高(OR = 11.0,95%:CI 1.0⁻637.1):然而,在美国队列中未观察到细菌基因与结直肠肿瘤之间的显著关联。需要在更大的队列中进行进一步分析以验证这些初步发现,但这些令人鼓舞的结果突出了开发细菌标志物作为CRC诊断或风险分层工具的重要性。