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Intra-Tumor Genetic Heterogeneity in Wilms Tumor: Clonal Evolution and Clinical Implications
George D Cresswell1, John R Apps2, Tasnim Chagtai3
1The Francis Crick Institute, London, United Kingdom.
Ebiomedicine
|June 23, 2016
Summary
Pediatric solid tumor evolution is complex. Multi-sampling reveals significant intra-tumor genetic heterogeneity (ITGH) in Wilms tumors, impacting biomarker accuracy and necessitating revised clinical trial designs.
Area of Science:
- Oncology
- Genetics
- Pediatric Cancer Research
Background:
- The evolution of pediatric solid tumors, particularly Wilms tumors (WT), remains poorly understood.
- Conflicting evidence exists regarding intra-tumor genetic heterogeneity (ITGH) in pediatric solid tumors.
- Current clinical trials often use single-sample profiling for prognostic biomarkers like 1q+ in WT, potentially missing critical genetic diversity.
Purpose of the Study:
- To investigate the extent of ITGH and evolutionary trajectories in pediatric Wilms tumors.
- To evaluate the adequacy of single-sample tumor profiling for genetic biomarker assessment.
- To inform rational clinical trial design for pediatric cancer risk stratification.
Main Methods:
- Multisampled 20 Wilms tumor (WT) cases.
- Assessed genome-wide allele-specific copy number aberrations (CNA) and loss of heterozygosity (LOH).
- Utilized Illumina CytoSNP12v2.1 arrays, a custom analysis pipeline, and the MEDICC algorithm to infer tumor evolution.
Main Results:
- WT exhibits significant ITGH and diverse evolutionary paths.
- The 1q+ biomarker is heterogeneous in most tumors, with variable timing, requiring at least three samples for >95% detection.
- Somatic 11p15 LOH is consistently an early event; evidence suggests dual tumor origins in some unilateral and bilateral WT cases.
- Subclonal genetic changes correlate with differential chemotherapy response.
Conclusions:
- Pediatric Wilms tumor evolution is characterized by substantial ITGH and complex trajectories.
- Current single-sample biomarker strategies are insufficient for accurate risk stratification in WT.
- Tumor multisampling is essential for reliable ITGH and evolutionary assessment in clinical trial design.
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