Clonality

Clonality performs statistical analysis to determine whether multiple tumors from the same patient are clonal or independent by comparing loss of heterozygosity (LOH) and genomewide copy number profiles.

Key Features:

• Statistical Tests: Compares LOH and copy number variations across multiple tumor samples using statistical tests to infer clonal versus independent origin.
• Genomic Data Utilization: Analyzes genomic data such as loss of heterozygosity (LOH) and genomewide copy number profiles to quantify genetic similarities and differences among tumors from a single patient.
• Clonality Inference: Assesses the likelihood of a common ancestral cell versus independent tumor origins by evaluating concordance in LOH and copy number profiles.

Scientific Applications:

• Cancer Genomics: Supports studies of cancer heterogeneity and the genetic relationships among multiple primary cancers or metastases.
• Personalized Medicine: Informs treatment strategies by identifying shared genetic alterations across tumors within a patient.
• Tumor Evolution Studies: Contributes to analyses of tumor evolutionary dynamics over time within a patient by comparing genomic alteration patterns.

Methodology:

Collect genomic data from multiple tumor samples from the same patient; analyze loss of heterozygosity (LOH) and genomewide copy number profiles using statistical models; apply rigorous statistical tests to assess similarities and determine the likelihood of clonal versus independent tumor origin.