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Comprehensive analyses of somatic TP53 mutation in tumors with variable mutant allele frequency.

Alexander J ColeYing ZhuTrisha DwightBing YuKristie-Ann DicksonGregory B GardJayne MaidensSusan ValmadreAnthony J GillRoderick Clifton-BlighDeborah J Marsh
Published in: Scientific data (2017)
Somatic mutation of the tumor suppressor gene TP53 is reported in at least 50% of human malignancies. Most high-grade serous ovarian cancers (HGSC) have a mutant TP53 allele. Accurate detection of these mutants in heterogeneous tumor tissue is paramount as therapies emerge to target mutant p53. We used a Fluidigm Access Array™ System with Massively Parallel Sequencing (MPS) to analyze DNA extracted from 76 serous ovarian tumors. This dataset has been made available to researchers through the European Genome-phenome Archive (EGA; EGAS00001002200). Herein, we present analyses of this dataset using HaplotypeCaller and MuTect2 through the Broad Institute's Genome Analysis Toolkit (GATK). We anticipate that this TP53 mutation dataset will be useful to researchers developing and testing new software to accurately determine high and low frequency variant alleles in heterogeneous aneuploid tumor tissue. Furthermore, the analysis pipeline we present provides a valuable framework for determining somatic variants more broadly in tumor tissue.
Keyphrases
  • high grade
  • copy number
  • low grade
  • genome wide
  • wild type
  • endothelial cells
  • young adults
  • cell free
  • circulating tumor
  • data analysis
  • transcription factor
  • quantum dots