Gut mucosal microbiota profiles linked to development of positional-specific human colorectal cancer

Chunze Zhang; Mingqian Ma; Zhenying Zhao; Zhiqiang Feng; Tianhao Chu; Yijia Wang; Jun Liu; Xuehua Wan; Chunze Zhang; Mingqian Ma; Zhenying Zhao; Zhiqiang Feng; Tianhao Chu; Yijia Wang; Jun Liu; Xuehua Wan

doi:10.3934/microbiol.2024035

AIMS Microbiology

2024, Volume 10, Issue 4: 812-832. doi: 10.3934/microbiol.2024035

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Research article

Gut mucosal microbiota profiles linked to development of positional-specific human colorectal cancer

1.
Department of Colorectal Surgery, Tianjin Union Medical Center, Nankai University, Tianjin, China
2.
School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
3.
Tianjin institute of spinal surgery, Tianjin Union Medical Center, Nankai University, Tianjin, China
4.
Department of Radiology, The Fourth Central Hospital Affiliated to Nankai University, Tianjin, China
5.
TEDA Institute of Biological Sciences and Biotechnology, Nankai University, TEDA, Tianjin, China
6.
Tianjin Institute of Coloproctology, Tianjin, China

Received: 19 March 2024 Revised: 03 September 2024 Accepted: 09 September 2024 Published: 24 September 2024

Colorectal cancer (CRC) continuously ranks as the third most common cause of cancer-related deaths worldwide. Based on anatomical classifications and clinical diagnoses, CRC is classified into right-sided, left-sided, and rectal CRC. Importantly, the three types of positional-specific CRC affect the prognosis outcomes, thus indicating that positional-specific treatments for CRC are required. Emerging evidence suggests that besides host genetic and epigenetic alterations, gut mucosal microbiota is linked to gut inflammation, CRC occurrence, and prognoses. However, gut mucosal microbiota associated with positional-specific CRC are poorly investigated. Here, we report the gut mucosal microbiota profiles associated with these three types of CRC. Our analysis showed that the unique composition and biodiversity of bacterial taxa are linked to positional-specific CRC. We found that a combination of bacterial taxa can serve as potential biomarkers to distinguish the three types of CRC. Further investigations of the physiological roles of bacteria associated with positional-specific CRC may help understand the mechanism of CRC progression in different anatomical locations under the impact of gut mucosal microbiota.
- gut microbiota,
- 16S rRNA gene,
- colorectal cancer,
- right-sided CRC,
- left-sided CRC,
- rectal CRC,
- biomarker
Citation: Chunze Zhang, Mingqian Ma, Zhenying Zhao, Zhiqiang Feng, Tianhao Chu, Yijia Wang, Jun Liu, Xuehua Wan. Gut mucosal microbiota profiles linked to development of positional-specific human colorectal cancer[J]. AIMS Microbiology, 2024, 10(4): 812-832. doi: 10.3934/microbiol.2024035

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Abstract

Colorectal cancer (CRC) continuously ranks as the third most common cause of cancer-related deaths worldwide. Based on anatomical classifications and clinical diagnoses, CRC is classified into right-sided, left-sided, and rectal CRC. Importantly, the three types of positional-specific CRC affect the prognosis outcomes, thus indicating that positional-specific treatments for CRC are required. Emerging evidence suggests that besides host genetic and epigenetic alterations, gut mucosal microbiota is linked to gut inflammation, CRC occurrence, and prognoses. However, gut mucosal microbiota associated with positional-specific CRC are poorly investigated. Here, we report the gut mucosal microbiota profiles associated with these three types of CRC. Our analysis showed that the unique composition and biodiversity of bacterial taxa are linked to positional-specific CRC. We found that a combination of bacterial taxa can serve as potential biomarkers to distinguish the three types of CRC. Further investigations of the physiological roles of bacteria associated with positional-specific CRC may help understand the mechanism of CRC progression in different anatomical locations under the impact of gut mucosal microbiota.

Conflict of interest

The authors declare no conflict of interest.

Author contributions

Conceptualization, J.L. and X.W.; investigation, C.Z., M.M., Z.F., T.C. and Y.W.; writing—original draft preparation, C.Z.; writing—review and editing, J.L. and X.W.; funding acquisition, J.L. and X.W.

Funding

This work was funded by the Natural Science Foundation of China, grant number 12174203, and Natural Science Foundation of Tianjin, grant number 21JCYBJC00120.

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