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Intratumoral genome diversity parallels progression and predicts outcome in pediatric cancer
- Source :
- Nature communications, 6. Nature Publishing Group
- Publication Year :
- 2014
-
Abstract
- Genetic differences among neoplastic cells within the same tumour have been proposed to drive cancer progression and treatment failure. Whether data on intratumoral diversity can be used to predict clinical outcome remains unclear. We here address this issue by quantifying genetic intratumoral diversity in a set of chemotherapy-treated childhood tumours. By analysis of multiple tumour samples from seven patients we demonstrate intratumoral diversity in all patients analysed after chemotherapy, typically presenting as multiple clones within a single millimetre-sized tumour sample (microdiversity). We show that microdiversity often acts as the foundation for further genome evolution in metastases. In addition, we find that microdiversity predicts poor cancer-specific survival (60%; P=0.009), independent of other risk factors, in a cohort of 44 patients with chemotherapy-treated childhood kidney cancer. Survival was 100% for patients lacking microdiversity. Thus, intratumoral genetic diversity is common in childhood cancers after chemotherapy and may be an important factor behind treatment failure.
- Subjects :
- Oncology
medicine.medical_specialty
medicine.medical_treatment
General Physics and Astronomy
Antineoplastic Agents
Biology
General Biochemistry, Genetics and Molecular Biology
Genomic Instability
Evolution, Molecular
Genetic Heterogeneity
Internal medicine
Neoplasms
medicine
Humans
Allele
Neoplasm Metastasis
Child
Alleles
Chemotherapy
Multidisciplinary
Genetic heterogeneity
Genome, Human
Cancer
General Chemistry
medicine.disease
Prognosis
Pediatric cancer
Treatment Outcome
Child, Preschool
Cohort
Immunology
Disease Progression
Medical genetics
Kidney cancer
Subjects
Details
- ISSN :
- 20411723
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Nature communications
- Accession number :
- edsair.doi.dedup.....8160ff132bdb4dce3280ff4d1055fa6d