Allele-specific copy number analysis of tumor samples with aneuploidy and tumor heterogeneity |
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| Authors: | Rasmussen Markus Sundström Magnus Göransson Kultima Hanna Botling Johan Micke Patrick Birgisson Helgi Glimelius Bengt Isaksson Anders |
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| Institution: | (1) Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Akademiska sjukhuset, SE-751 85 Uppsala, Sweden;(2) Department of Immunology, Genetics and Pathology, Uppsala University, Rudbeck Laboratory, SE-751 85 Uppsala, Sweden;(3) Department of Surgical Sciences, Uppsala University, Akademiska sjukhuset, SE-751 85 Uppsala, Sweden;(4) Department of Radiology, Oncology and Radiation Sciences, Uppsala University, Akademiska sjukhuset, SE-751 85 Uppsala, Sweden;(5) Department of Oncology and Pathology, Karolinska Institutet, SE-17177 Stockholm, Sweden |
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| Abstract: | We describe a bioinformatic tool, Tumor Aberration Prediction Suite (TAPS), for the identification of allele-specific copy
numbers in tumor samples using data from Affymetrix SNP arrays. It includes detailed visualization of genomic segment characteristics
and iterative pattern recognition for copy number identification, and does not require patient-matched normal samples. TAPS
can be used to identify chromosomal aberrations with high sensitivity even when the proportion of tumor cells is as low as
30%. Analysis of cancer samples indicates that TAPS is well suited to investigate samples with aneuploidy and tumor heterogeneity,
which is commonly found in many types of solid tumors. |
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