Does RSClin provide additional information over classic clinico-pathologic scores (PREDICT 2.1, INFLUENCE 2.0, CTS5)?
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View abstract on PubMed
Summary
This summary is machine-generated.Combining gene-expression profiling with clinico-pathologic factors improves early breast cancer prognosis. The RSClin tool demonstrated superior prognostic ability in N0 patients compared to other risk calculators and gene-expression tests.
Area Of Science
- Oncology
- Genomics
- Biostatistics
Background
- Early breast cancer (EBC) management benefits from accurate prognostic tools.
- Gene-expression profiling (e.g., Oncotype-Dx) and clinico-pathologic risk calculators (e.g., PREDICT 2.1, INFLUENCE 2.0, CTS5) are used for risk stratification.
- Tools combining both molecular and clinico-pathologic data (e.g., RSClin) may offer enhanced prognostic information.
Purpose Of The Study
- To compare the prognostic performance of gene-expression profiling tests against clinico-pathologic risk calculators and combined tools in postmenopausal women with EBC.
- To evaluate the ability of different risk assessment tools to predict distant metastasis-free survival (DMFS).
Main Methods
- Analysis of the TEAM pathology cohort including 4736 postmenopausal women with EBC treated with endocrine therapy.
- Generation of Oncotype-Dx-trained risk scores via gene-expression profiling.
- Calculation of recurrence scores using PREDICT 2.1, INFLUENCE 2.0, CTS5, and RSClin.
- Prognostic ability assessed using Cox regression and Harrell's C-statistic in the N0/N1 population.
Main Results
- Low correlation was observed between clinico-pathologic calculators (PREDICT 2.1, INFLUENCE 2.0, CTS5) and Oncotype-Dx-trained risk scores.
- In N0 patients, RSClin demonstrated superior prognostic ability for DMFS (C-statistic=0.66) compared to PREDICT 2.1 (0.60), INFLUENCE 2.0 (0.57), CTS-5 (0.62), and Oncotype-Dx (0.63).
Conclusions
- Combining molecular (gene-expression) and clinico-pathologic factors significantly enhances prognostic information for early breast cancer.
- The clinical utility of combined tools like RSClin requires further prospective validation for patient management decisions.
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