Mutations and karyotype predict treatment response in myelodysplastic syndromes
We examined the influence of mutations and karyotype on conventional treatment response, specifically hematological improvement in anemia, in primary myelodysplastic syndromes (MDS). Cytogenetic and next generation sequencing (NGS)‐derived mutation information was available in 357 patients (median a...
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Veröffentlicht in: | American journal of hematology 2018-11, Vol.93 (11), p.1420-1426 |
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creator | Idossa, Dame Lasho, Terra L. Finke, Christy M. Ketterling, Rhett P. Patnaik, Mrinal M. Pardanani, Animesh Gangat, Naseema Tefferi, Ayalew |
description | We examined the influence of mutations and karyotype on conventional treatment response, specifically hematological improvement in anemia, in primary myelodysplastic syndromes (MDS). Cytogenetic and next generation sequencing (NGS)‐derived mutation information was available in 357 patients (median age 74 years; 70% males); the revised international prognostic scoring system risk distribution was very high in 11%, high 15%, intermediate 17%, low 40% and very low 16%. At least one mutation was detected in 81% of patients; most frequent were SF3B1 (32%), ASXL1 (27%), TET2 (24%) and U2AF1 (15%). At median follow‐up of 24 months, treatment with hypomethylating agents (HMAs) was documented in 121 (34%) patients, lenalidomide (LEN) in 55 (15%), and erythropoiesis stimulating agents (ESAs) in 136 (38%). ASXL1 mutations adversely affected response to HMAs (27% vs 48%; P = 0.02) and LEN (9% vs 43%; P = 0.04), but not ESAs (P = 0.6). LEN response was also adversely affected by U2AF1 mutations (0% vs 42%; P = 0.02) and high risk karyotype (0% vs 41% in intermediate vs 47% in low risk; P = 0.01). Patients with SF3B1 mutations were more likely to respond to LEN (56% vs 27%; P = 0.04). Contrary to previous reports, we found no association between TET2 mutations and HMA treatment response (40% vs 41%; P = 0.9), even in the absence of ASXL1 mutations (P = 0.4).We conclude that ASXL1 mutations in MDS predict inferior response to treatment with both HMAs and LEN; response to LEN was also compromised by U2AF1 mutations and high risk karyotype; SF3B1 mutations identified patients likely to respond to LEN. |
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Cytogenetic and next generation sequencing (NGS)‐derived mutation information was available in 357 patients (median age 74 years; 70% males); the revised international prognostic scoring system risk distribution was very high in 11%, high 15%, intermediate 17%, low 40% and very low 16%. At least one mutation was detected in 81% of patients; most frequent were SF3B1 (32%), ASXL1 (27%), TET2 (24%) and U2AF1 (15%). At median follow‐up of 24 months, treatment with hypomethylating agents (HMAs) was documented in 121 (34%) patients, lenalidomide (LEN) in 55 (15%), and erythropoiesis stimulating agents (ESAs) in 136 (38%). ASXL1 mutations adversely affected response to HMAs (27% vs 48%; P = 0.02) and LEN (9% vs 43%; P = 0.04), but not ESAs (P = 0.6). LEN response was also adversely affected by U2AF1 mutations (0% vs 42%; P = 0.02) and high risk karyotype (0% vs 41% in intermediate vs 47% in low risk; P = 0.01). Patients with SF3B1 mutations were more likely to respond to LEN (56% vs 27%; P = 0.04). Contrary to previous reports, we found no association between TET2 mutations and HMA treatment response (40% vs 41%; P = 0.9), even in the absence of ASXL1 mutations (P = 0.4).We conclude that ASXL1 mutations in MDS predict inferior response to treatment with both HMAs and LEN; response to LEN was also compromised by U2AF1 mutations and high risk karyotype; SF3B1 mutations identified patients likely to respond to LEN.</description><identifier>ISSN: 0361-8609</identifier><identifier>EISSN: 1096-8652</identifier><identifier>DOI: 10.1002/ajh.25267</identifier><identifier>PMID: 30152885</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Aged ; Antimetabolites, Antineoplastic - pharmacology ; Antimetabolites, Antineoplastic - therapeutic use ; DNA-Binding Proteins - genetics ; Erythropoiesis ; Female ; Hematology ; Humans ; Karyotype ; Lenalidomide - pharmacology ; Lenalidomide - therapeutic use ; Male ; Mutation ; Myelodysplastic syndrome ; Myelodysplastic syndromes ; Myelodysplastic Syndromes - diagnosis ; Myelodysplastic Syndromes - genetics ; Next-generation sequencing ; Patients ; Phosphoproteins - genetics ; Prognosis ; Proto-Oncogene Proteins - genetics ; Repressor Proteins - genetics ; RNA Splicing Factors - genetics ; Splicing Factor U2AF - genetics ; Treatment Outcome</subject><ispartof>American journal of hematology, 2018-11, Vol.93 (11), p.1420-1426</ispartof><rights>2018 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3887-68a78d128fdcd7bb4575eb7b9e723447e3081e997529dd273cccbbca615f70da3</citedby><cites>FETCH-LOGICAL-c3887-68a78d128fdcd7bb4575eb7b9e723447e3081e997529dd273cccbbca615f70da3</cites><orcidid>0000-0002-9104-6172 ; 0000-0001-6998-662X ; 0000-0003-4605-3821</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fajh.25267$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fajh.25267$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30152885$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Idossa, Dame</creatorcontrib><creatorcontrib>Lasho, Terra L.</creatorcontrib><creatorcontrib>Finke, Christy M.</creatorcontrib><creatorcontrib>Ketterling, Rhett P.</creatorcontrib><creatorcontrib>Patnaik, Mrinal M.</creatorcontrib><creatorcontrib>Pardanani, Animesh</creatorcontrib><creatorcontrib>Gangat, Naseema</creatorcontrib><creatorcontrib>Tefferi, Ayalew</creatorcontrib><title>Mutations and karyotype predict treatment response in myelodysplastic syndromes</title><title>American journal of hematology</title><addtitle>Am J Hematol</addtitle><description>We examined the influence of mutations and karyotype on conventional treatment response, specifically hematological improvement in anemia, in primary myelodysplastic syndromes (MDS). Cytogenetic and next generation sequencing (NGS)‐derived mutation information was available in 357 patients (median age 74 years; 70% males); the revised international prognostic scoring system risk distribution was very high in 11%, high 15%, intermediate 17%, low 40% and very low 16%. At least one mutation was detected in 81% of patients; most frequent were SF3B1 (32%), ASXL1 (27%), TET2 (24%) and U2AF1 (15%). At median follow‐up of 24 months, treatment with hypomethylating agents (HMAs) was documented in 121 (34%) patients, lenalidomide (LEN) in 55 (15%), and erythropoiesis stimulating agents (ESAs) in 136 (38%). ASXL1 mutations adversely affected response to HMAs (27% vs 48%; P = 0.02) and LEN (9% vs 43%; P = 0.04), but not ESAs (P = 0.6). LEN response was also adversely affected by U2AF1 mutations (0% vs 42%; P = 0.02) and high risk karyotype (0% vs 41% in intermediate vs 47% in low risk; P = 0.01). Patients with SF3B1 mutations were more likely to respond to LEN (56% vs 27%; P = 0.04). Contrary to previous reports, we found no association between TET2 mutations and HMA treatment response (40% vs 41%; P = 0.9), even in the absence of ASXL1 mutations (P = 0.4).We conclude that ASXL1 mutations in MDS predict inferior response to treatment with both HMAs and LEN; response to LEN was also compromised by U2AF1 mutations and high risk karyotype; SF3B1 mutations identified patients likely to respond to LEN.</description><subject>Aged</subject><subject>Antimetabolites, Antineoplastic - pharmacology</subject><subject>Antimetabolites, Antineoplastic - therapeutic use</subject><subject>DNA-Binding Proteins - genetics</subject><subject>Erythropoiesis</subject><subject>Female</subject><subject>Hematology</subject><subject>Humans</subject><subject>Karyotype</subject><subject>Lenalidomide - pharmacology</subject><subject>Lenalidomide - therapeutic use</subject><subject>Male</subject><subject>Mutation</subject><subject>Myelodysplastic syndrome</subject><subject>Myelodysplastic syndromes</subject><subject>Myelodysplastic Syndromes - diagnosis</subject><subject>Myelodysplastic Syndromes - genetics</subject><subject>Next-generation sequencing</subject><subject>Patients</subject><subject>Phosphoproteins - genetics</subject><subject>Prognosis</subject><subject>Proto-Oncogene Proteins - genetics</subject><subject>Repressor Proteins - genetics</subject><subject>RNA Splicing Factors - genetics</subject><subject>Splicing Factor U2AF - genetics</subject><subject>Treatment Outcome</subject><issn>0361-8609</issn><issn>1096-8652</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kD1PwzAQQC0EoqUw8AeQJSaGUH8ksTNWFVBQUReYI8e-iJR8YTtC-fcYUtiY7oand7qH0CUlt5QQtlT7t1uWsFQcoTklWRrJNGHHaE54SsNOshk6c25PCKWxJKdoxglNmJTJHO2eB6981bUOq9bgd2XHzo894N6CqbTH3oLyDbQeW3B94ABXLW5GqDszur5Wzlcau7E1tmvAnaOTUtUOLg5zgV7v717Wm2i7e3hcr7aR5lKKKJVKSEOZLI02oijiRCRQiCIDwXgcC-BEUsgykbDMGCa41rootEppUgpiFF-g68nb2-5jAOfzfTfYNpzMGQ0KTkhGA3UzUdp2zlko895WTfgxpyT_TpeHdPlPusBeHYxD0YD5I39bBWA5AZ9VDeP_pnz1tJmUXziqeUo</recordid><startdate>201811</startdate><enddate>201811</enddate><creator>Idossa, Dame</creator><creator>Lasho, Terra L.</creator><creator>Finke, Christy M.</creator><creator>Ketterling, Rhett P.</creator><creator>Patnaik, Mrinal M.</creator><creator>Pardanani, Animesh</creator><creator>Gangat, Naseema</creator><creator>Tefferi, Ayalew</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><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>K9.</scope><orcidid>https://orcid.org/0000-0002-9104-6172</orcidid><orcidid>https://orcid.org/0000-0001-6998-662X</orcidid><orcidid>https://orcid.org/0000-0003-4605-3821</orcidid></search><sort><creationdate>201811</creationdate><title>Mutations and karyotype predict treatment response in myelodysplastic syndromes</title><author>Idossa, Dame ; Lasho, Terra L. ; Finke, Christy M. ; Ketterling, Rhett P. ; Patnaik, Mrinal M. ; Pardanani, Animesh ; Gangat, Naseema ; Tefferi, Ayalew</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3887-68a78d128fdcd7bb4575eb7b9e723447e3081e997529dd273cccbbca615f70da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aged</topic><topic>Antimetabolites, Antineoplastic - pharmacology</topic><topic>Antimetabolites, Antineoplastic - therapeutic use</topic><topic>DNA-Binding Proteins - genetics</topic><topic>Erythropoiesis</topic><topic>Female</topic><topic>Hematology</topic><topic>Humans</topic><topic>Karyotype</topic><topic>Lenalidomide - pharmacology</topic><topic>Lenalidomide - therapeutic use</topic><topic>Male</topic><topic>Mutation</topic><topic>Myelodysplastic syndrome</topic><topic>Myelodysplastic syndromes</topic><topic>Myelodysplastic Syndromes - diagnosis</topic><topic>Myelodysplastic Syndromes - genetics</topic><topic>Next-generation sequencing</topic><topic>Patients</topic><topic>Phosphoproteins - genetics</topic><topic>Prognosis</topic><topic>Proto-Oncogene Proteins - genetics</topic><topic>Repressor Proteins - genetics</topic><topic>RNA Splicing Factors - genetics</topic><topic>Splicing Factor U2AF - genetics</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Idossa, Dame</creatorcontrib><creatorcontrib>Lasho, Terra L.</creatorcontrib><creatorcontrib>Finke, Christy M.</creatorcontrib><creatorcontrib>Ketterling, Rhett P.</creatorcontrib><creatorcontrib>Patnaik, Mrinal M.</creatorcontrib><creatorcontrib>Pardanani, Animesh</creatorcontrib><creatorcontrib>Gangat, Naseema</creatorcontrib><creatorcontrib>Tefferi, Ayalew</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><jtitle>American journal of hematology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Idossa, Dame</au><au>Lasho, Terra L.</au><au>Finke, Christy M.</au><au>Ketterling, Rhett P.</au><au>Patnaik, Mrinal M.</au><au>Pardanani, Animesh</au><au>Gangat, Naseema</au><au>Tefferi, Ayalew</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mutations and karyotype predict treatment response in myelodysplastic syndromes</atitle><jtitle>American journal of hematology</jtitle><addtitle>Am J Hematol</addtitle><date>2018-11</date><risdate>2018</risdate><volume>93</volume><issue>11</issue><spage>1420</spage><epage>1426</epage><pages>1420-1426</pages><issn>0361-8609</issn><eissn>1096-8652</eissn><abstract>We examined the influence of mutations and karyotype on conventional treatment response, specifically hematological improvement in anemia, in primary myelodysplastic syndromes (MDS). Cytogenetic and next generation sequencing (NGS)‐derived mutation information was available in 357 patients (median age 74 years; 70% males); the revised international prognostic scoring system risk distribution was very high in 11%, high 15%, intermediate 17%, low 40% and very low 16%. At least one mutation was detected in 81% of patients; most frequent were SF3B1 (32%), ASXL1 (27%), TET2 (24%) and U2AF1 (15%). At median follow‐up of 24 months, treatment with hypomethylating agents (HMAs) was documented in 121 (34%) patients, lenalidomide (LEN) in 55 (15%), and erythropoiesis stimulating agents (ESAs) in 136 (38%). ASXL1 mutations adversely affected response to HMAs (27% vs 48%; P = 0.02) and LEN (9% vs 43%; P = 0.04), but not ESAs (P = 0.6). LEN response was also adversely affected by U2AF1 mutations (0% vs 42%; P = 0.02) and high risk karyotype (0% vs 41% in intermediate vs 47% in low risk; P = 0.01). Patients with SF3B1 mutations were more likely to respond to LEN (56% vs 27%; P = 0.04). Contrary to previous reports, we found no association between TET2 mutations and HMA treatment response (40% vs 41%; P = 0.9), even in the absence of ASXL1 mutations (P = 0.4).We conclude that ASXL1 mutations in MDS predict inferior response to treatment with both HMAs and LEN; response to LEN was also compromised by U2AF1 mutations and high risk karyotype; SF3B1 mutations identified patients likely to respond to LEN.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>30152885</pmid><doi>10.1002/ajh.25267</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-9104-6172</orcidid><orcidid>https://orcid.org/0000-0001-6998-662X</orcidid><orcidid>https://orcid.org/0000-0003-4605-3821</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Antimetabolites, Antineoplastic - pharmacology Antimetabolites, Antineoplastic - therapeutic use DNA-Binding Proteins - genetics Erythropoiesis Female Hematology Humans Karyotype Lenalidomide - pharmacology Lenalidomide - therapeutic use Male Mutation Myelodysplastic syndrome Myelodysplastic syndromes Myelodysplastic Syndromes - diagnosis Myelodysplastic Syndromes - genetics Next-generation sequencing Patients Phosphoproteins - genetics Prognosis Proto-Oncogene Proteins - genetics Repressor Proteins - genetics RNA Splicing Factors - genetics Splicing Factor U2AF - genetics Treatment Outcome |
title | Mutations and karyotype predict treatment response in myelodysplastic syndromes |
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