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HRA011714
   HRA011714.xlsx
Title:
Identification and predictive machine learning models construction of gut microbiota associated with lymph node metastasis in colorectal cancer
Release date:
2025-06-04
Description:
This study focuses on the significant role between gut microbiota and lymph node metastasis (LNM) in colorectal cancer (CRC). By conducting 16S rRNA sequencing on fecal samples from 147 CRC patients and combining it with the linear discriminant analysis effect size algorithm, we successfully identified significant differences in the gut microbiota between patients with LNM and those with no lymph node metastasis (NLNM). This study reveals that Bacteroides plebeius may play an important role in the progression of CRC, with its mechanism potentially involving changes in immune modulation and metabolic pathways. The classification model constructed based on gut microbiota characteristics can predict LNM status of CRC, providing a new perspective for personalized and precision treatment of CRC patients.
Data Accessibility:   
Controlled access Request Data
BioProject:
PRJCA040945
Study type:
Human metagenome
Data Access Committee

For each controlled access study, there is a corresponding Data Access Committee(DAC) to determine the access permissions. Access to actual data files is not managed by NGDC.


DAC NO.:
HDAC003823
DAC name:
Division of Colorectal Surgery
Contact person:
Tang Weizhong
Email:
tangweizhong@gxmu.edu.cn
Description:
We collected fecal sample and clinical data from CRC patients and peformed microbiota-associated and bioinformatics analysis.
Individuals & samples
Files
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Submitter:   Tang Weizhong / tangweizhong@gxmu.edu.cn
Organization:   Guangxi Medical University Cancer Hospital
Submission date:   2025-05-31
Requests:   -