Hybridization capture-based next generation sequencing reliably detects FLT3 mutations and classifies FLT3-internal tandem duplication allelic ratio in acute myeloid leukemia: a comparative study to standard fragment analysis
FLT3 -internal tandem duplication occurs in 20–30% of acute myeloid leukemia and confers an adverse prognosis with its allelic ratio being a key risk stratifier. The US Food and Drug Administration recently approved FLT3 inhibitors midostaurin and gilteritinib in FLT3 mutation-positive acute myeloid...
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creator | He, Rong Devine, Daniel J. Tu, Zheng Jin Mai, Ming Chen, Dong Nguyen, Phuong L. Oliveira, Jennifer L. Hoyer, James D. Reichard, Kaaren K. Ollila, Paul L. Al-Kali, Aref Tefferi, Ayalew Begna, Kebede H. Patnaik, Mrinal M. Alkhateeb, Hassan Viswanatha, David S. |
description | FLT3
-internal tandem duplication occurs in 20–30% of acute myeloid leukemia and confers an adverse prognosis with its allelic ratio being a key risk stratifier. The US Food and Drug Administration recently approved FLT3 inhibitors midostaurin and gilteritinib in
FLT3
mutation-positive acute myeloid leukemia. Historically,
FLT3
was tested by fragment analysis, which has become the standard method endorsed by international guidelines. However, next generation sequencing is increasingly used at acute myeloid leukemia diagnosis given its ability to simultaneously evaluate multiple clinically informative markers. As
FLT3
-internal tandem duplication detection was known to be challenging by next generation sequencing and the results carry profound prognostic and therapeutic implications, it is important to thoroughly examine its performance in
FLT3-
internal tandem duplication detection and allelic ratio classification. In a comparative study with fragment analysis, we retrospectively reviewed our experience using a custom-designed, hybridization capture-based, targeted next generation sequencing panel. Among 7902 cases,
FLT3
-internal tandem duplication was detected in 335 with variable sizes (3–231 bp) and insertion sites. Fragment analysis was also performed in 402 cases, demonstrating 100% concordance in
FLT3
-internal tandem duplication detection. In 136 dual-tested, positive cases, 128/136 (94%) exhibited concordant high/low allelic ratio classifications. The remaining 6% showed borderline low allelic ratio by next generation sequencing. The two methods were concordant in
FLT3
-tyrosine kinase domain mutation detection at the hotspot D835/I836 targeted by fragment analysis. Furthermore, seven mutations which may benefit from FLT3 inhibitor therapy were detected by next generation sequencing, in regions not covered by fragment analysis. Our study demonstrates that using a hybridization capture-based chemistry and optimized bioinformatics pipeline, next generation sequencing can reliably detect
FLT3
-internal tandem duplication and classify its allelic ratio for acute myeloid leukemia risk stratification. Next generation sequencing also exhibits superior comprehensiveness in
FLT3
mutation detection and may further improve personalized, targeted therapy in acute myeloid leukemia. |
doi_str_mv | 10.1038/s41379-019-0359-9 |
format | Article |
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-internal tandem duplication occurs in 20–30% of acute myeloid leukemia and confers an adverse prognosis with its allelic ratio being a key risk stratifier. The US Food and Drug Administration recently approved FLT3 inhibitors midostaurin and gilteritinib in
FLT3
mutation-positive acute myeloid leukemia. Historically,
FLT3
was tested by fragment analysis, which has become the standard method endorsed by international guidelines. However, next generation sequencing is increasingly used at acute myeloid leukemia diagnosis given its ability to simultaneously evaluate multiple clinically informative markers. As
FLT3
-internal tandem duplication detection was known to be challenging by next generation sequencing and the results carry profound prognostic and therapeutic implications, it is important to thoroughly examine its performance in
FLT3-
internal tandem duplication detection and allelic ratio classification. In a comparative study with fragment analysis, we retrospectively reviewed our experience using a custom-designed, hybridization capture-based, targeted next generation sequencing panel. Among 7902 cases,
FLT3
-internal tandem duplication was detected in 335 with variable sizes (3–231 bp) and insertion sites. Fragment analysis was also performed in 402 cases, demonstrating 100% concordance in
FLT3
-internal tandem duplication detection. In 136 dual-tested, positive cases, 128/136 (94%) exhibited concordant high/low allelic ratio classifications. The remaining 6% showed borderline low allelic ratio by next generation sequencing. The two methods were concordant in
FLT3
-tyrosine kinase domain mutation detection at the hotspot D835/I836 targeted by fragment analysis. Furthermore, seven mutations which may benefit from FLT3 inhibitor therapy were detected by next generation sequencing, in regions not covered by fragment analysis. Our study demonstrates that using a hybridization capture-based chemistry and optimized bioinformatics pipeline, next generation sequencing can reliably detect
FLT3
-internal tandem duplication and classify its allelic ratio for acute myeloid leukemia risk stratification. Next generation sequencing also exhibits superior comprehensiveness in
FLT3
mutation detection and may further improve personalized, targeted therapy in acute myeloid leukemia.</description><identifier>ISSN: 0893-3952</identifier><identifier>EISSN: 1530-0285</identifier><identifier>DOI: 10.1038/s41379-019-0359-9</identifier><identifier>PMID: 31471587</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>45/23 ; 45/29 ; 45/77 ; 692/53/2422 ; 692/699/1541/1990/283/1897 ; Acute myeloid leukemia ; Bioinformatics ; Biomarkers, Tumor - genetics ; Computational Biology ; DNA Mutational Analysis ; fms-Like Tyrosine Kinase 3 - genetics ; Genetic Predisposition to Disease ; High-Throughput Nucleotide Sequencing ; Humans ; Hybridization ; Laboratory Medicine ; Leukemia ; Leukemia, Myeloid, Acute - genetics ; Medicine ; Medicine & Public Health ; Mutation ; Myeloid leukemia ; Next-generation sequencing ; Pathology ; Phenotype ; Predictive Value of Tests ; Protein-tyrosine kinase ; Reproducibility of Results ; Retrospective Studies ; Tandem Repeat Sequences</subject><ispartof>Modern pathology, 2020-03, Vol.33 (3), p.334-343</ispartof><rights>The Author(s) 2019</rights><rights>This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c498t-78a78c41a336246cea393ce88a19ea8865c6bf8e33aee81b1a5e260854045c2d3</citedby><cites>FETCH-LOGICAL-c498t-78a78c41a336246cea393ce88a19ea8865c6bf8e33aee81b1a5e260854045c2d3</cites><orcidid>0000-0001-6116-8163</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31471587$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>He, Rong</creatorcontrib><creatorcontrib>Devine, Daniel J.</creatorcontrib><creatorcontrib>Tu, Zheng Jin</creatorcontrib><creatorcontrib>Mai, Ming</creatorcontrib><creatorcontrib>Chen, Dong</creatorcontrib><creatorcontrib>Nguyen, Phuong L.</creatorcontrib><creatorcontrib>Oliveira, Jennifer L.</creatorcontrib><creatorcontrib>Hoyer, James D.</creatorcontrib><creatorcontrib>Reichard, Kaaren K.</creatorcontrib><creatorcontrib>Ollila, Paul L.</creatorcontrib><creatorcontrib>Al-Kali, Aref</creatorcontrib><creatorcontrib>Tefferi, Ayalew</creatorcontrib><creatorcontrib>Begna, Kebede H.</creatorcontrib><creatorcontrib>Patnaik, Mrinal M.</creatorcontrib><creatorcontrib>Alkhateeb, Hassan</creatorcontrib><creatorcontrib>Viswanatha, David S.</creatorcontrib><title>Hybridization capture-based next generation sequencing reliably detects FLT3 mutations and classifies FLT3-internal tandem duplication allelic ratio in acute myeloid leukemia: a comparative study to standard fragment analysis</title><title>Modern pathology</title><addtitle>Mod Pathol</addtitle><addtitle>Mod Pathol</addtitle><description>FLT3
-internal tandem duplication occurs in 20–30% of acute myeloid leukemia and confers an adverse prognosis with its allelic ratio being a key risk stratifier. The US Food and Drug Administration recently approved FLT3 inhibitors midostaurin and gilteritinib in
FLT3
mutation-positive acute myeloid leukemia. Historically,
FLT3
was tested by fragment analysis, which has become the standard method endorsed by international guidelines. However, next generation sequencing is increasingly used at acute myeloid leukemia diagnosis given its ability to simultaneously evaluate multiple clinically informative markers. As
FLT3
-internal tandem duplication detection was known to be challenging by next generation sequencing and the results carry profound prognostic and therapeutic implications, it is important to thoroughly examine its performance in
FLT3-
internal tandem duplication detection and allelic ratio classification. In a comparative study with fragment analysis, we retrospectively reviewed our experience using a custom-designed, hybridization capture-based, targeted next generation sequencing panel. Among 7902 cases,
FLT3
-internal tandem duplication was detected in 335 with variable sizes (3–231 bp) and insertion sites. Fragment analysis was also performed in 402 cases, demonstrating 100% concordance in
FLT3
-internal tandem duplication detection. In 136 dual-tested, positive cases, 128/136 (94%) exhibited concordant high/low allelic ratio classifications. The remaining 6% showed borderline low allelic ratio by next generation sequencing. The two methods were concordant in
FLT3
-tyrosine kinase domain mutation detection at the hotspot D835/I836 targeted by fragment analysis. Furthermore, seven mutations which may benefit from FLT3 inhibitor therapy were detected by next generation sequencing, in regions not covered by fragment analysis. Our study demonstrates that using a hybridization capture-based chemistry and optimized bioinformatics pipeline, next generation sequencing can reliably detect
FLT3
-internal tandem duplication and classify its allelic ratio for acute myeloid leukemia risk stratification. Next generation sequencing also exhibits superior comprehensiveness in
FLT3
mutation detection and may further improve personalized, targeted therapy in acute myeloid leukemia.</description><subject>45/23</subject><subject>45/29</subject><subject>45/77</subject><subject>692/53/2422</subject><subject>692/699/1541/1990/283/1897</subject><subject>Acute myeloid leukemia</subject><subject>Bioinformatics</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Computational Biology</subject><subject>DNA Mutational Analysis</subject><subject>fms-Like Tyrosine Kinase 3 - genetics</subject><subject>Genetic Predisposition to Disease</subject><subject>High-Throughput Nucleotide Sequencing</subject><subject>Humans</subject><subject>Hybridization</subject><subject>Laboratory Medicine</subject><subject>Leukemia</subject><subject>Leukemia, Myeloid, Acute - genetics</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mutation</subject><subject>Myeloid leukemia</subject><subject>Next-generation sequencing</subject><subject>Pathology</subject><subject>Phenotype</subject><subject>Predictive Value of Tests</subject><subject>Protein-tyrosine kinase</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><subject>Tandem Repeat Sequences</subject><issn>0893-3952</issn><issn>1530-0285</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9ks-O1SAUxhujca5XH8CNIXHjpgqltODCZDJxHJObuBnX5JSeXhkpvQKdWN_WN5E7Hcc_iS4IhO_Hdw7wFcVTRl8yyuWrWDPeqpKyPLhQpbpXbJjgtKSVFPeLDZWKl1yJ6qR4FOMVpawWsnpYnHBWt0zIdlN8v1i6YHv7DZKdPDFwSHPAsoOIPfH4NZE9egyrGvHLjN5YvycBnYXOLaTHhCZFcr675GSc0w0ZCfieGAcx2sHiqpbWJwweHElZxZH088FZs1qDc9nRkJtKxOYNMyck44Jusj1xOH_G0cJrAsRM4wGO3DWSmOZ-IWnKi-wJoSdDgP2IPuUOwC3RxsfFgwFcxCe387b4eP728uyi3H149_7sdFeaWslUthJaaWoGnDdV3RgErrhBKYEpBCkbYZpukMg5IErWMRBYNVSKmtbCVD3fFm9W38Pcjdib3EMApw_BjhAWPYHVfyreftL76Vq3VDDFqmzw4tYgTPmdY9KjjQadA4_THHVVSc5o2-av3xbP_0Kvpvn4tJmqW0GZrBv-X4o3SgqpWJ0ptlImTDEGHO5aZlQfY6bXmOkcM32MmVb5zLPf73p34meuMlCtQMyS32P4Vfrfrj8Apknj6w</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>He, Rong</creator><creator>Devine, Daniel J.</creator><creator>Tu, Zheng Jin</creator><creator>Mai, Ming</creator><creator>Chen, Dong</creator><creator>Nguyen, Phuong L.</creator><creator>Oliveira, Jennifer L.</creator><creator>Hoyer, James D.</creator><creator>Reichard, Kaaren K.</creator><creator>Ollila, Paul L.</creator><creator>Al-Kali, Aref</creator><creator>Tefferi, Ayalew</creator><creator>Begna, Kebede H.</creator><creator>Patnaik, Mrinal M.</creator><creator>Alkhateeb, Hassan</creator><creator>Viswanatha, David S.</creator><general>Nature Publishing Group US</general><general>Elsevier Limited</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6116-8163</orcidid></search><sort><creationdate>20200301</creationdate><title>Hybridization capture-based next generation sequencing reliably detects FLT3 mutations and classifies FLT3-internal tandem duplication allelic ratio in acute myeloid leukemia: a comparative study to standard fragment analysis</title><author>He, Rong ; Devine, Daniel J. ; Tu, Zheng Jin ; Mai, Ming ; Chen, Dong ; Nguyen, Phuong L. ; Oliveira, Jennifer L. ; Hoyer, James D. ; Reichard, Kaaren K. ; Ollila, Paul L. ; Al-Kali, Aref ; Tefferi, Ayalew ; Begna, Kebede H. ; Patnaik, Mrinal M. ; Alkhateeb, Hassan ; Viswanatha, David S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c498t-78a78c41a336246cea393ce88a19ea8865c6bf8e33aee81b1a5e260854045c2d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>45/23</topic><topic>45/29</topic><topic>45/77</topic><topic>692/53/2422</topic><topic>692/699/1541/1990/283/1897</topic><topic>Acute myeloid leukemia</topic><topic>Bioinformatics</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Computational Biology</topic><topic>DNA Mutational Analysis</topic><topic>fms-Like Tyrosine Kinase 3 - genetics</topic><topic>Genetic Predisposition to Disease</topic><topic>High-Throughput Nucleotide Sequencing</topic><topic>Humans</topic><topic>Hybridization</topic><topic>Laboratory Medicine</topic><topic>Leukemia</topic><topic>Leukemia, Myeloid, Acute - genetics</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mutation</topic><topic>Myeloid leukemia</topic><topic>Next-generation sequencing</topic><topic>Pathology</topic><topic>Phenotype</topic><topic>Predictive Value of Tests</topic><topic>Protein-tyrosine kinase</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>Tandem Repeat Sequences</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>He, Rong</creatorcontrib><creatorcontrib>Devine, Daniel J.</creatorcontrib><creatorcontrib>Tu, Zheng Jin</creatorcontrib><creatorcontrib>Mai, Ming</creatorcontrib><creatorcontrib>Chen, Dong</creatorcontrib><creatorcontrib>Nguyen, Phuong L.</creatorcontrib><creatorcontrib>Oliveira, Jennifer L.</creatorcontrib><creatorcontrib>Hoyer, James D.</creatorcontrib><creatorcontrib>Reichard, Kaaren K.</creatorcontrib><creatorcontrib>Ollila, Paul L.</creatorcontrib><creatorcontrib>Al-Kali, Aref</creatorcontrib><creatorcontrib>Tefferi, Ayalew</creatorcontrib><creatorcontrib>Begna, Kebede H.</creatorcontrib><creatorcontrib>Patnaik, Mrinal M.</creatorcontrib><creatorcontrib>Alkhateeb, Hassan</creatorcontrib><creatorcontrib>Viswanatha, David S.</creatorcontrib><collection>SpringerOpen</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Modern pathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>He, Rong</au><au>Devine, Daniel J.</au><au>Tu, Zheng Jin</au><au>Mai, Ming</au><au>Chen, Dong</au><au>Nguyen, Phuong L.</au><au>Oliveira, Jennifer L.</au><au>Hoyer, James D.</au><au>Reichard, Kaaren K.</au><au>Ollila, Paul L.</au><au>Al-Kali, Aref</au><au>Tefferi, Ayalew</au><au>Begna, Kebede H.</au><au>Patnaik, Mrinal M.</au><au>Alkhateeb, Hassan</au><au>Viswanatha, David S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hybridization capture-based next generation sequencing reliably detects FLT3 mutations and classifies FLT3-internal tandem duplication allelic ratio in acute myeloid leukemia: a comparative study to standard fragment analysis</atitle><jtitle>Modern pathology</jtitle><stitle>Mod Pathol</stitle><addtitle>Mod Pathol</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>33</volume><issue>3</issue><spage>334</spage><epage>343</epage><pages>334-343</pages><issn>0893-3952</issn><eissn>1530-0285</eissn><abstract>FLT3
-internal tandem duplication occurs in 20–30% of acute myeloid leukemia and confers an adverse prognosis with its allelic ratio being a key risk stratifier. The US Food and Drug Administration recently approved FLT3 inhibitors midostaurin and gilteritinib in
FLT3
mutation-positive acute myeloid leukemia. Historically,
FLT3
was tested by fragment analysis, which has become the standard method endorsed by international guidelines. However, next generation sequencing is increasingly used at acute myeloid leukemia diagnosis given its ability to simultaneously evaluate multiple clinically informative markers. As
FLT3
-internal tandem duplication detection was known to be challenging by next generation sequencing and the results carry profound prognostic and therapeutic implications, it is important to thoroughly examine its performance in
FLT3-
internal tandem duplication detection and allelic ratio classification. In a comparative study with fragment analysis, we retrospectively reviewed our experience using a custom-designed, hybridization capture-based, targeted next generation sequencing panel. Among 7902 cases,
FLT3
-internal tandem duplication was detected in 335 with variable sizes (3–231 bp) and insertion sites. Fragment analysis was also performed in 402 cases, demonstrating 100% concordance in
FLT3
-internal tandem duplication detection. In 136 dual-tested, positive cases, 128/136 (94%) exhibited concordant high/low allelic ratio classifications. The remaining 6% showed borderline low allelic ratio by next generation sequencing. The two methods were concordant in
FLT3
-tyrosine kinase domain mutation detection at the hotspot D835/I836 targeted by fragment analysis. Furthermore, seven mutations which may benefit from FLT3 inhibitor therapy were detected by next generation sequencing, in regions not covered by fragment analysis. Our study demonstrates that using a hybridization capture-based chemistry and optimized bioinformatics pipeline, next generation sequencing can reliably detect
FLT3
-internal tandem duplication and classify its allelic ratio for acute myeloid leukemia risk stratification. Next generation sequencing also exhibits superior comprehensiveness in
FLT3
mutation detection and may further improve personalized, targeted therapy in acute myeloid leukemia.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>31471587</pmid><doi>10.1038/s41379-019-0359-9</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-6116-8163</orcidid><oa>free_for_read</oa></addata></record> |
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ispartof | Modern pathology, 2020-03, Vol.33 (3), p.334-343 |
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language | eng |
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source | MEDLINE; Alma/SFX Local Collection; EZB Electronic Journals Library |
subjects | 45/23 45/29 45/77 692/53/2422 692/699/1541/1990/283/1897 Acute myeloid leukemia Bioinformatics Biomarkers, Tumor - genetics Computational Biology DNA Mutational Analysis fms-Like Tyrosine Kinase 3 - genetics Genetic Predisposition to Disease High-Throughput Nucleotide Sequencing Humans Hybridization Laboratory Medicine Leukemia Leukemia, Myeloid, Acute - genetics Medicine Medicine & Public Health Mutation Myeloid leukemia Next-generation sequencing Pathology Phenotype Predictive Value of Tests Protein-tyrosine kinase Reproducibility of Results Retrospective Studies Tandem Repeat Sequences |
title | Hybridization capture-based next generation sequencing reliably detects FLT3 mutations and classifies FLT3-internal tandem duplication allelic ratio in acute myeloid leukemia: a comparative study to standard fragment analysis |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T17%3A15%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Hybridization%20capture-based%20next%20generation%20sequencing%20reliably%20detects%20FLT3%20mutations%20and%20classifies%20FLT3-internal%20tandem%20duplication%20allelic%20ratio%20in%20acute%20myeloid%20leukemia:%20a%20comparative%20study%20to%20standard%20fragment%20analysis&rft.jtitle=Modern%20pathology&rft.au=He,%20Rong&rft.date=2020-03-01&rft.volume=33&rft.issue=3&rft.spage=334&rft.epage=343&rft.pages=334-343&rft.issn=0893-3952&rft.eissn=1530-0285&rft_id=info:doi/10.1038/s41379-019-0359-9&rft_dat=%3Cproquest_pubme%3E2369858914%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2369858914&rft_id=info:pmid/31471587&rfr_iscdi=true |