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HRA006887
   HRA006887.xlsx
Title:
Identification of KRAS mutation-associated gut microbiota in colorectal cancer and construction of predictive machine learning model
Release date:
2024-03-18
Description:
This study aimed to identify differential gut microbiota between KRAS mutant and KRAS wild-type CRC patients by fecal 16S rRNA gene sequencing. We intended to analyze their correlations with immune infiltrating cells, immune-related genes and enriched biological functions, all of which will be derived from the analysis of mRNA sequencing data, aiming to demystify their roles in KRAS mutation and the progression of CRC. Moreover, we will employ these KRAS mutation-associated gut microbiota to construct a predictive machine learning model, offering fresh insights into for microbiological discovery and clinical prediction of KRAS mutation status for CRC patients.
Data Accessibility:   
Controlled access Request Data
BioProject:
PRJCA024234
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:   2024-03-12
Requests:   1