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Updated: Jul 1, 2025

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Molecular Profiling of the Invasive Tumor Microenvironment in a 3-Dimensional Model of Colorectal Cancer Cells and Ex vivo Fibroblasts
Published on: April 29, 2014
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Analysis of disulfidptosis- and cuproptosis-related LncRNAs in modulating the immune microenvironment and
Qiang Fan1, Guang-Bo Wu1, Min Chen1
1Department of General Surgery, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
IET Systems Biology
|March 8, 2024
Summary
This study developed a novel prognostic model using long non-coding RNAs (lncRNAs) for colon adenocarcinoma (COAD). The model accurately predicts patient outcomes, immune cell infiltration, and chemotherapy response, offering new insights into COAD progression.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Colon adenocarcinoma (COAD) poses a significant health challenge.
- Identifying reliable prognostic markers is crucial for improving patient outcomes.
- Disulfidptosis and cuproptosis are emerging cell death pathways with potential roles in cancer.
Purpose of the Study:
- To establish a prognostic model for COAD utilizing long non-coding RNAs (lncRNAs) associated with disulfidptosis and cuproptosis.
- To evaluate the model's predictive capability for patient survival, immune cell infiltration, and chemosensitivity.
- To validate the expression and function of key lncRNAs in colorectal cancer cells.
Main Methods:
- Acquired RNA-Sequence and clinicopathological data for COAD from The Cancer Genome Atlas (TCGA).
- Constructed a prognostic model using Cox regression and the Least Absolute Shrinkage and Selection Operator (LASSO) method.
- Assessed model performance via principal component analysis, Kaplan-Meier analysis, and nomogram; validated lncRNA function in vitro.
Main Results:
- A novel prognostic model based on disulfidptosis and cuproptosis-related lncRNAs was successfully constructed.
- The model demonstrated excellent independent predictive capability for patient outcomes.
- High-risk patients showed higher tumor mutation burden and worse survival, with significant differences in immune infiltration and chemosensitivity based on risk scores.
- In vitro experiments validated aberrant expressions of lncRNAs, with FENDRR and SNHG7 impacting cancer cell proliferation and migration.
Conclusions:
- The developed prognostic signature provides valuable insights into prognosis, immune infiltration, and chemosensitivity in COAD patients.
- This novel model can aid in personalized treatment strategies and risk stratification for COAD.
- Further research into the roles of specific lncRNAs in COAD pathogenesis is warranted.

