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Published on: September 25, 2011
Proteomics-Driven Risk Stratification in Stage III Colon Cancer: A Validated Prognostic Signature for Recurrence
Adel T Aref1, Mohashin Pathan1, Rosemary Habib2
1ProCan, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, Australia.
A new six-protein risk score improves prognosis for stage-III colorectal cancer (CC) patients. This proteomic biomarker enhances risk stratification beyond standard clinical factors, aiding in personalized treatment decisions.
Area of Science:
- Oncology
- Proteomics
- Biomarker Discovery
Background:
- Stage-III colorectal cancer (CC) lacks effective prognostic biomarkers for recurrence risk.
- Proteomic profiling offers a quantitative method for improved risk stratification in CC.
Purpose of the Study:
- To develop and validate a proteomic-based risk score for predicting recurrence in stage-III CC.
- To assess the added prognostic value of the proteomic score to existing clinical factors.
Main Methods:
- Proteomic analysis using data-independent acquisition mass spectrometry on stage-III CC tumor samples from three cohorts (n=759).
- Development of a six-protein risk score (ITIH1, PPIE, LTBP1, KPNA2, IGFBP7, CKAP4) using Cox regression in a training cohort.
- Validation of the risk score in two independent external cohorts.
Main Results:
- The six-protein risk score significantly stratified patients into high- and low-risk groups for recurrence across all cohorts (HRs ranging from 1.8 to 5.7).
- Integration of the proteomic score with clinical factors further improved prognostic accuracy.
- A subgroup of patients with very low recurrence risk was consistently identified.
Conclusions:
- The validated six-protein risk score enhances prognostic stratification for stage-III CC beyond standard clinical factors.
- This proteomic biomarker provides a framework for risk-adapted clinical investigation.
- Further research through prospective, treatment-stratified trials is needed to guide adjuvant therapy decisions.
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