Identification and validation of basement membrane-associated gene AGRN as prognostic and immune-associated biomarkers in colorectal cancer patients
- Jianrong Li 1, Daofeng You 2, Linjie Hu 1, Yusi Yang 3, Sheng Gao 1, Wenqi Bai 1
- Jianrong Li 1, Daofeng You 2, Linjie Hu 1
- 1Department of General Surgery Sciences, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
- 2Emergency Department of First Hospital Affiliated to Hebei Medical University, Shijiazhuang, China.
- 3Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences Tongji Shanxi Hospital, Taiyuan, China.
- 0Department of General Surgery Sciences, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Basement membranes (BMs) play a crucial role in colorectal cancer (COCA) progression. Our research identifies a 12-BM signature and AGRN as a key biomarker, improving patient survival prediction and offering new therapeutic insights.
Area Of Science
- Oncology
- Molecular Biology
- Genomics
Background
- Colorectal cancer (COCA) presents a significant health challenge with a poor prognosis.
- Emerging evidence highlights the involvement of basement membranes (BMs) in cancer progression.
- Understanding the specific role of BMs in COCA is critical for improving patient outcomes.
Purpose Of The Study
- To investigate the prognostic significance of basement membranes (BMs) in colorectal cancer (COCA).
- To identify BMs-related genes and construct a predictive model for COCA patient survival.
- To explore the relationship between BMs, immune infiltration, and drug sensitivity in COCA.
Main Methods
- Utilized TCGA and GTEx databases for gene expression and patient data.
- Employed Cox and LASSO regression for prognostic gene selection and risk model development.
- Performed Kaplan-Meier analysis, drug sensitivity analysis, and in vitro experiments.
Main Results
- A 12-BM-based signature was identified as an independent prognostic factor in COCA.
- BMs were found to be enriched in cancer-associated pathways, correlating with immune cell infiltration and checkpoint activation.
- Elevated AGRN levels were significantly associated with decreased progression-free survival and promoted tumour metastasis.
Conclusions
- The 12-BM signature serves as a reliable prognostic tool for COCA patients.
- AGRN is a dependable biomarker for predicting patient survival and prognosis in colorectal cancer.
- Targeting BMs and AGRN may offer novel therapeutic strategies for COCA.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.

