| Autor: |
Elizabeth J. Perlman, Michael K. Fritsch, Daniel M. Green, Paul E. Grundy, Jeffrey S. Dome, Irene B. Helenowski, Simone T. Sredni, Colleen Cutcliffe, Norman Breslow, Samantha Gadd, Chiang-Ching Huang |
| Rok vydání: |
2023 |
| Popis: |
Purpose: The past two decades has seen significant improvement in the overall survival of patients with favorable histology Wilms tumor (FHWT); however, this progress has reached a plateau. Further improvements may rely on the ability to better stratify patients by risk of relapse. This study determines the feasibility and potential clinical utility of classifiers of relapse based on global gene expression analysis.Experimental Design: Two hundred fifty FHWT of all stages enriched for relapses treated on National Wilms Tumor Study-5 passed quality variables and were suitable for analysis using oligonucleotide arrays. Relapse risk stratification used support vector machine; 2- and 10-fold cross-validations were applied.Results: The number of genes associated with relapse was less than that predicted by chance alone for 106 patients (32 relapses) with stages I and II FHWT treated with chemotherapy, and no further analyses were done. This number was greater than expected by chance for 76 local stage III patients. Cross-validation including an additional 68 local stage III patients (total 144 patients, 53 relapses) showed that classifiers for relapse composed of 50 genes were associated with a median sensitivity of 47% and specificity of 70%.Conclusions: This study shows the feasibility and modest accuracy of stratifying local stage III FHWT using a classifier of |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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