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Comparative Lesions Analysis Through a Targeted Sequencing Approach
Published on: November 5, 2019
Inferring tumor progression from genomic heterogeneity.
Nicholas Navin1, Alexander Krasnitz, Linda Rodgers
1Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Genome Research
|November 12, 2009
Summary
Heterogeneous breast tumors reveal cancer progression pathways. Sector-Ploidy-Profiling (SPP) analyzes clonal subpopulations, showing polygenomic tumors arise from a few key clones, not gradual changes.
Area of Science:
- Oncology
- Genomics
- Cancer Biology
Background:
- Inferring human cancer progression is challenging due to limited multi-stage sampling.
- Heterogeneous breast tumors offer insights into tumor evolution by preserving early and intermediate subpopulations.
- Phylogenetic relationships within tumors provide a roadmap for understanding clonal evolution.
Purpose of the Study:
- To develop and apply a novel method for analyzing the clonal composition of breast tumors.
- To investigate the genomic structural variations and heterogeneity within breast carcinomas.
- To infer pathways of cancer progression and tumor growth organization.
Main Methods:
- Sector-Ploidy-Profiling (SPP) was developed, involving tumor macro-dissection and flow-sorting of genomic subpopulations by DNA content.
- Comparative genomic hybridization (CGH) was used to profile the genomes of sorted subpopulations.
- Analysis focused on distinguishing monogenomic and polygenomic tumor classes.
Main Results:
- Breast carcinomas were classified into monogenomic (single, stable clone) and polygenomic (multiple clones) types.
- Polygenomic tumors exhibit heterogeneity arising from a few dominant clonal subpopulations, not gradual intermediates.
- Comparison of subpopulations across different tumor locations elucidated progression pathways.
Conclusions:
- Sector-Ploidy-Profiling (SPP) is an effective method for dissecting tumor clonal architecture.
- Tumor heterogeneity in polygenomic breast cancers is driven by a limited number of key clonal expansions.
- This study provides a framework for understanding cancer progression and tumor organization through clonal analysis.
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