Deep sequencing of multiple regions of glial tumors reveals spatial heterogeneity for mutations in clinically relevant genes

The extent of intratumoral mutational heterogeneity remains unclear in gliomas, the most common primary brain tumors, especially with respect to point mutation. To address this, we applied single molecule molecular inversion probes targeting 33 cancer genes to assay both point mutations and gene amp...

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Veröffentlicht in:Genome Biology (Online Edition) 2014-12, Vol.15 (12), p.530-530, Article 530
Hauptverfasser: Kumar, Akash, Boyle, Evan A, Tokita, Mari, Mikheev, Andrei M, Sanger, Michelle C, Girard, Emily, Silber, John R, Gonzalez-Cuyar, Luis F, Hiatt, Joseph B, Adey, Andrew, Lee, Choli, Kitzman, Jacob O, Born, Donald E, Silbergeld, Daniel L, Olson, James M, Rostomily, Robert C, Shendure, Jay
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container_end_page 530
container_issue 12
container_start_page 530
container_title Genome Biology (Online Edition)
container_volume 15
creator Kumar, Akash
Boyle, Evan A
Tokita, Mari
Mikheev, Andrei M
Sanger, Michelle C
Girard, Emily
Silber, John R
Gonzalez-Cuyar, Luis F
Hiatt, Joseph B
Adey, Andrew
Lee, Choli
Kitzman, Jacob O
Born, Donald E
Silbergeld, Daniel L
Olson, James M
Rostomily, Robert C
Shendure, Jay
description The extent of intratumoral mutational heterogeneity remains unclear in gliomas, the most common primary brain tumors, especially with respect to point mutation. To address this, we applied single molecule molecular inversion probes targeting 33 cancer genes to assay both point mutations and gene amplifications within spatially distinct regions of 14 glial tumors. We find evidence of regional mutational heterogeneity in multiple tumors, including mutations in TP53 and RB1 in an anaplastic oligodendroglioma and amplifications in PDGFRA and KIT in two glioblastomas (GBMs). Immunohistochemistry confirms heterogeneity of TP53 mutation and PDGFRA amplification. In all, 3 out of 14 glial tumors surveyed have evidence for heterogeneity for clinically relevant mutations. Our results underscore the need to sample multiple regions in GBM and other glial tumors when devising personalized treatments based on genomic information, and furthermore demonstrate the importance of measuring both point mutation and copy number alteration while investigating genetic heterogeneity within cancer samples.
doi_str_mv 10.1186/s13059-014-0530-z
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Boyle, Evan A ; Tokita, Mari ; Mikheev, Andrei M ; Sanger, Michelle C ; Girard, Emily ; Silber, John R ; Gonzalez-Cuyar, Luis F ; Hiatt, Joseph B ; Adey, Andrew ; Lee, Choli ; Kitzman, Jacob O ; Born, Donald E ; Silbergeld, Daniel L ; Olson, James M ; Rostomily, Robert C ; Shendure, Jay</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b694t-b983828feae56b23b118b2f0ea0e0e6bcd2d4e060408f10cdbf76200723af833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Analysis</topic><topic>brain</topic><topic>Brain Neoplasms - genetics</topic><topic>Brain Neoplasms - pathology</topic><topic>Brain tumors</topic><topic>Cancer</topic><topic>Gene Amplification</topic><topic>Gene mutations</topic><topic>genes</topic><topic>Genetic aspects</topic><topic>Genetic Heterogeneity</topic><topic>Genetic research</topic><topic>genomics</topic><topic>Glioblastoma - genetics</topic><topic>Glioblastoma - pathology</topic><topic>Gliomas</topic><topic>high-throughput nucleotide sequencing</topic><topic>High-Throughput Nucleotide Sequencing - methods</topic><topic>Humans</topic><topic>immunohistochemistry</topic><topic>Molecular Sequence Data</topic><topic>neoplasms</topic><topic>Oligodendroglioma - genetics</topic><topic>Oligodendroglioma - pathology</topic><topic>Physiological aspects</topic><topic>Point Mutation</topic><topic>Proto-Oncogene Proteins c-kit - genetics</topic><topic>Receptor, Platelet-Derived Growth Factor alpha - genetics</topic><topic>Salivary Proline-Rich Proteins - genetics</topic><topic>Sequence Analysis, DNA</topic><topic>Surveys</topic><topic>Tumor Suppressor Protein p53 - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kumar, Akash</creatorcontrib><creatorcontrib>Boyle, Evan A</creatorcontrib><creatorcontrib>Tokita, Mari</creatorcontrib><creatorcontrib>Mikheev, Andrei M</creatorcontrib><creatorcontrib>Sanger, Michelle C</creatorcontrib><creatorcontrib>Girard, Emily</creatorcontrib><creatorcontrib>Silber, John R</creatorcontrib><creatorcontrib>Gonzalez-Cuyar, Luis F</creatorcontrib><creatorcontrib>Hiatt, Joseph B</creatorcontrib><creatorcontrib>Adey, Andrew</creatorcontrib><creatorcontrib>Lee, Choli</creatorcontrib><creatorcontrib>Kitzman, Jacob O</creatorcontrib><creatorcontrib>Born, Donald E</creatorcontrib><creatorcontrib>Silbergeld, Daniel L</creatorcontrib><creatorcontrib>Olson, James M</creatorcontrib><creatorcontrib>Rostomily, Robert C</creatorcontrib><creatorcontrib>Shendure, Jay</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Global Issues</collection><collection>Gale Academic OneFile</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Genome Biology (Online Edition)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kumar, Akash</au><au>Boyle, Evan A</au><au>Tokita, Mari</au><au>Mikheev, Andrei M</au><au>Sanger, Michelle C</au><au>Girard, Emily</au><au>Silber, John R</au><au>Gonzalez-Cuyar, Luis F</au><au>Hiatt, Joseph B</au><au>Adey, Andrew</au><au>Lee, Choli</au><au>Kitzman, Jacob O</au><au>Born, Donald E</au><au>Silbergeld, Daniel L</au><au>Olson, James M</au><au>Rostomily, Robert C</au><au>Shendure, Jay</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Deep sequencing of multiple regions of glial tumors reveals spatial heterogeneity for mutations in clinically relevant genes</atitle><jtitle>Genome Biology (Online Edition)</jtitle><addtitle>Genome Biol</addtitle><date>2014-12-03</date><risdate>2014</risdate><volume>15</volume><issue>12</issue><spage>530</spage><epage>530</epage><pages>530-530</pages><artnum>530</artnum><issn>1474-760X</issn><issn>1465-6906</issn><eissn>1474-760X</eissn><eissn>1465-6914</eissn><abstract>The extent of intratumoral mutational heterogeneity remains unclear in gliomas, the most common primary brain tumors, especially with respect to point mutation. 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subjects Analysis
brain
Brain Neoplasms - genetics
Brain Neoplasms - pathology
Brain tumors
Cancer
Gene Amplification
Gene mutations
genes
Genetic aspects
Genetic Heterogeneity
Genetic research
genomics
Glioblastoma - genetics
Glioblastoma - pathology
Gliomas
high-throughput nucleotide sequencing
High-Throughput Nucleotide Sequencing - methods
Humans
immunohistochemistry
Molecular Sequence Data
neoplasms
Oligodendroglioma - genetics
Oligodendroglioma - pathology
Physiological aspects
Point Mutation
Proto-Oncogene Proteins c-kit - genetics
Receptor, Platelet-Derived Growth Factor alpha - genetics
Salivary Proline-Rich Proteins - genetics
Sequence Analysis, DNA
Surveys
Tumor Suppressor Protein p53 - genetics
title Deep sequencing of multiple regions of glial tumors reveals spatial heterogeneity for mutations in clinically relevant genes
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