Renyuan Gao1,2, Zhiguo Wang3, Hao Li2,4, Zhan Cao2, Zhiguang Gao5, Hongqi Chen6, Xiaohui Zhang2,4, Dengdeng Pan2,4, Rong Yang7, Hui Zhong7, Rongrong Shen8, Lu Yin1, Zhenyi Jia6, Tongyi Shen2,4, Nan Qin2,4, Zhiqian Hu3, Huanlong Qin2,4. 1. Diagnostic and Treatment Center for Refractory Diseases of Abdomen Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China. 2. Institute for Intestinal Diseases, School of Medicine, Tongji University, Shanghai, China. 3. Department of General Surgery, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China. 4. Department of General Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China. 5. Department of Emergency, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China. 6. Department of General Surgery, Shanghai Sixth People's Hospital, Shanghai Jiaotong University, Shanghai, China. 7. Department of Pediatrics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China. 8. Department of Nursing, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Abstract
BACKGROUND AND AIM: The gut microbiota is associated with colorectal lesions in cases of precancer and colorectal cancer (CRC). However, there are apparent differences in studies on the gut microbiota in the pathogenic sequence from precancer to cancer. Here, we characterize the gut microbiota signatures of colorectal precancer and cancer and test their utility in detecting colorectal lesions in two independent Chinese cohorts. METHODS: Stool samples collected from patients with precancer and CRC were subjected to 16S ribosomal RNA gene sequencing and metagenomic shotgun sequencing analyses, which revealed the microbial signatures of the two disease stages. RESULTS: In comparison with healthy controls, lower microbial richness and diversity were observed in precancer and intensive interbacterial associations were found in CRC. We identified 41 bacteria that showed gradual increases while 12 bacteria showed gradual decreases at the genus level gradually during the development of CRC. Novel CRC-associated pathogenetic species were identified. Species units that contributed to altered microbial functions were identified in CRC patients and healthy controls. The microbial panel showed a comparable ability to fecal immunochemical test (FIT) in detecting CRC. However, the combination of microbes and FIT significantly improved the detection ability and sensitivity of colon lesions based on 18 genera. Microbial network analysis revealed a significant positive correlation among beneficial microbes and a negative correlation in detrimental phenotypes. CONCLUSIONS: Microbial dysbiosis was revealed in colorectal lesions. The combination of microbial markers and FIT improved the CRC detection ability, which might assist in the early diagnosis of CRC.
BACKGROUND AND AIM: The gut microbiota is associated with colorectal lesions in cases of precancer and colorectal cancer (CRC). However, there are apparent differences in studies on the gut microbiota in the pathogenic sequence from precancer to cancer. Here, we characterize the gut microbiota signatures of colorectal precancer and cancer and test their utility in detecting colorectal lesions in two independent Chinese cohorts. METHODS: Stool samples collected from patients with precancer and CRC were subjected to 16S ribosomal RNA gene sequencing and metagenomic shotgun sequencing analyses, which revealed the microbial signatures of the two disease stages. RESULTS: In comparison with healthy controls, lower microbial richness and diversity were observed in precancer and intensive interbacterial associations were found in CRC. We identified 41 bacteria that showed gradual increases while 12 bacteria showed gradual decreases at the genus level gradually during the development of CRC. Novel CRC-associated pathogenetic species were identified. Species units that contributed to altered microbial functions were identified in CRC patients and healthy controls. The microbial panel showed a comparable ability to fecal immunochemical test (FIT) in detecting CRC. However, the combination of microbes and FIT significantly improved the detection ability and sensitivity of colon lesions based on 18 genera. Microbial network analysis revealed a significant positive correlation among beneficial microbes and a negative correlation in detrimental phenotypes. CONCLUSIONS: Microbial dysbiosis was revealed in colorectal lesions. The combination of microbial markers and FIT improved the CRC detection ability, which might assist in the early diagnosis of CRC.
Authors: Roseanna C Wheatley; Elaine Kilgour; Timothy Jacobs; Angela Lamarca; Richard A Hubner; Juan W Valle; Mairéad G McNamara Journal: Br J Cancer Date: 2021-10-18 Impact factor: 9.075
Authors: Caroline Young; Henry M Wood; Alba Fuentes Balaguer; Daniel Bottomley; Niall Gallop; Lyndsay Wilkinson; Sally C Benton; Martin Brealey; Cerin John; Carole Burtonwood; Kelsey N Thompson; Yan Yan; Jennifer H Barrett; Eva J A Morris; Curtis Huttenhower; Philip Quirke Journal: Clin Cancer Res Date: 2021-03-03 Impact factor: 13.801