Prognostic implications of cancer-associated fibroblasts and desmoplastic reaction in stage III colon cancer risk groups
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View abstract on PubMed
Summary
This summary is machine-generated.Cancer-associated fibroblasts (CAFs) and desmoplastic reaction (DR) impact stage III colon cancer prognosis. High FAPα expression predicts disease-free survival in low-risk patients, while immature DR predicts survival in high-risk patients.
Area Of Science
- Oncology
- Cancer Biology
- Tumor Microenvironment
Background
- Risk stratification is crucial for tailoring adjuvant treatment in stage III colon cancer.
- Cancer-associated fibroblasts (CAFs) and desmoplastic reaction (DR) are key components of the tumor microenvironment influencing tumor progression.
Purpose Of The Study
- To evaluate the prognostic significance of CAF markers and DR patterns in different risk groups of stage III colon cancer.
- To determine if CAF markers and DR patterns can refine prognostic assessments in stage III colon cancer.
Main Methods
- Patients with stage III colon cancer were stratified into low-risk (pT1-3, pN1) and high-risk (pT4 or pN2) groups.
- Expression of fibroblast activation protein α (FAPα), fibroblast specific protein-1 (S100A4), and α-smooth muscle actin (α-SMA) was assessed using H-scores.
- Desmoplastic reaction (DR) patterns were classified as immature, intermediate, or mature.
- Cox regression models were employed to identify prognostic factors and calculate hazard ratios (HRs).
Main Results
- In the low-risk group (n=74), high FAPα expression was an independent predictor of disease-free survival (DFS) (HR=3.06, p=0.02).
- In the high-risk group (n=98), an immature DR pattern independently predicted both DFS (HR=1.99, p=0.02) and overall survival (OS) (HR=2.04, p=0.02).
Conclusions
- Fibroblast activation protein α (FAPα) expression and desmoplastic reaction (DR) patterns exhibit distinct prognostic impacts in stage III colon cancer based on risk stratification.
- These markers may serve as valuable tools for refining prognostic predictions and guiding treatment decisions in stage III colon cancer patients.
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