Genomic profiling for clinical decision making in myeloid neoplasms and acute leukemia

Myeloid neoplasms and acute leukemias derive from the clonal expansion of hematopoietic cells driven by somatic gene mutations. Although assessment of morphology plays a crucial role in the diagnostic evaluation of patients with these malignancies, genomic characterization has become increasingly im...

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Veröffentlicht in:Blood 2022-11, Vol.140 (21), p.2228-2247
Hauptverfasser: Duncavage, Eric J., Bagg, Adam, Hasserjian, Robert P., DiNardo, Courtney D., Godley, Lucy A., Iacobucci, Ilaria, Jaiswal, Siddhartha, Malcovati, Luca, Vannucchi, Alessandro M., Patel, Keyur P., Arber, Daniel A., Arcila, Maria E., Bejar, Rafael, Berliner, Nancy, Borowitz, Michael J., Branford, Susan, Brown, Anna L., Cargo, Catherine A., Döhner, Hartmut, Falini, Brunangelo, Garcia-Manero, Guillermo, Haferlach, Torsten, Hellström-Lindberg, Eva, Kim, Annette S., Klco, Jeffery M., Komrokji, Rami, Lee-Cheun Loh, Mignon, Loghavi, Sanam, Mullighan, Charles G., Ogawa, Seishi, Orazi, Attilio, Papaemmanuil, Elli, Reiter, Andreas, Ross, David M., Savona, Michael, Shimamura, Akiko, Skoda, Radek C., Solé, Francesc, Stone, Richard M., Tefferi, Ayalew, Walter, Matthew J., Wu, David, Ebert, Benjamin L., Cazzola, Mario
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container_end_page 2247
container_issue 21
container_start_page 2228
container_title Blood
container_volume 140
creator Duncavage, Eric J.
Bagg, Adam
Hasserjian, Robert P.
DiNardo, Courtney D.
Godley, Lucy A.
Iacobucci, Ilaria
Jaiswal, Siddhartha
Malcovati, Luca
Vannucchi, Alessandro M.
Patel, Keyur P.
Arber, Daniel A.
Arcila, Maria E.
Bejar, Rafael
Berliner, Nancy
Borowitz, Michael J.
Branford, Susan
Brown, Anna L.
Cargo, Catherine A.
Döhner, Hartmut
Falini, Brunangelo
Garcia-Manero, Guillermo
Haferlach, Torsten
Hellström-Lindberg, Eva
Kim, Annette S.
Klco, Jeffery M.
Komrokji, Rami
Lee-Cheun Loh, Mignon
Loghavi, Sanam
Mullighan, Charles G.
Ogawa, Seishi
Orazi, Attilio
Papaemmanuil, Elli
Reiter, Andreas
Ross, David M.
Savona, Michael
Shimamura, Akiko
Skoda, Radek C.
Solé, Francesc
Stone, Richard M.
Tefferi, Ayalew
Walter, Matthew J.
Wu, David
Ebert, Benjamin L.
Cazzola, Mario
description Myeloid neoplasms and acute leukemias derive from the clonal expansion of hematopoietic cells driven by somatic gene mutations. Although assessment of morphology plays a crucial role in the diagnostic evaluation of patients with these malignancies, genomic characterization has become increasingly important for accurate diagnosis, risk assessment, and therapeutic decision making. Conventional cytogenetics, a comprehensive and unbiased method for assessing chromosomal abnormalities, has been the mainstay of genomic testing over the past several decades and remains relevant today. However, more recent advances in sequencing technology have increased our ability to detect somatic mutations through the use of targeted gene panels, whole-exome sequencing, whole-genome sequencing, and whole-transcriptome sequencing or RNA sequencing. In patients with myeloid neoplasms, whole-genome sequencing represents a potential replacement for both conventional cytogenetic and sequencing approaches, providing rapid and accurate comprehensive genomic profiling. DNA sequencing methods are used not only for detecting somatically acquired gene mutations but also for identifying germline gene mutations associated with inherited predisposition to hematologic neoplasms. The 2022 International Consensus Classification of myeloid neoplasms and acute leukemias makes extensive use of genomic data. The aim of this report is to help physicians and laboratorians implement genomic testing for diagnosis, risk stratification, and clinical decision making and illustrates the potential of genomic profiling for enabling personalized medicine in patients with hematologic neoplasms. Complementing the recently published Blood articles outlining the 2022 International Consensus Classifications for hematological malignancies (Vol. 140, Issue 11), this pair of Special Reports illustrates how molecular pathology can be applied to precision medicine. de Leval and colleagues summarize the potential of DNA sequencing of tumors and cell-free plasma, epigenetic profiling, and single-cell analyses to inform clinical decision-making about diagnosis, prognosis, and treatment for patients with lymphoid neoplasms. Similarly, Duncavage and colleagues cover genomic profiling for myeloid neoplasms and the acute leukemias, focusing principally on somatic changes but also with emphasis on the emerging importance of germline gene mutations in certain diseases. Both articles provide up-to-date references for how to app
doi_str_mv 10.1182/blood.2022015853
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Although assessment of morphology plays a crucial role in the diagnostic evaluation of patients with these malignancies, genomic characterization has become increasingly important for accurate diagnosis, risk assessment, and therapeutic decision making. Conventional cytogenetics, a comprehensive and unbiased method for assessing chromosomal abnormalities, has been the mainstay of genomic testing over the past several decades and remains relevant today. However, more recent advances in sequencing technology have increased our ability to detect somatic mutations through the use of targeted gene panels, whole-exome sequencing, whole-genome sequencing, and whole-transcriptome sequencing or RNA sequencing. In patients with myeloid neoplasms, whole-genome sequencing represents a potential replacement for both conventional cytogenetic and sequencing approaches, providing rapid and accurate comprehensive genomic profiling. DNA sequencing methods are used not only for detecting somatically acquired gene mutations but also for identifying germline gene mutations associated with inherited predisposition to hematologic neoplasms. The 2022 International Consensus Classification of myeloid neoplasms and acute leukemias makes extensive use of genomic data. The aim of this report is to help physicians and laboratorians implement genomic testing for diagnosis, risk stratification, and clinical decision making and illustrates the potential of genomic profiling for enabling personalized medicine in patients with hematologic neoplasms. Complementing the recently published Blood articles outlining the 2022 International Consensus Classifications for hematological malignancies (Vol. 140, Issue 11), this pair of Special Reports illustrates how molecular pathology can be applied to precision medicine. de Leval and colleagues summarize the potential of DNA sequencing of tumors and cell-free plasma, epigenetic profiling, and single-cell analyses to inform clinical decision-making about diagnosis, prognosis, and treatment for patients with lymphoid neoplasms. Similarly, Duncavage and colleagues cover genomic profiling for myeloid neoplasms and the acute leukemias, focusing principally on somatic changes but also with emphasis on the emerging importance of germline gene mutations in certain diseases. 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Although assessment of morphology plays a crucial role in the diagnostic evaluation of patients with these malignancies, genomic characterization has become increasingly important for accurate diagnosis, risk assessment, and therapeutic decision making. Conventional cytogenetics, a comprehensive and unbiased method for assessing chromosomal abnormalities, has been the mainstay of genomic testing over the past several decades and remains relevant today. However, more recent advances in sequencing technology have increased our ability to detect somatic mutations through the use of targeted gene panels, whole-exome sequencing, whole-genome sequencing, and whole-transcriptome sequencing or RNA sequencing. In patients with myeloid neoplasms, whole-genome sequencing represents a potential replacement for both conventional cytogenetic and sequencing approaches, providing rapid and accurate comprehensive genomic profiling. DNA sequencing methods are used not only for detecting somatically acquired gene mutations but also for identifying germline gene mutations associated with inherited predisposition to hematologic neoplasms. The 2022 International Consensus Classification of myeloid neoplasms and acute leukemias makes extensive use of genomic data. The aim of this report is to help physicians and laboratorians implement genomic testing for diagnosis, risk stratification, and clinical decision making and illustrates the potential of genomic profiling for enabling personalized medicine in patients with hematologic neoplasms. Complementing the recently published Blood articles outlining the 2022 International Consensus Classifications for hematological malignancies (Vol. 140, Issue 11), this pair of Special Reports illustrates how molecular pathology can be applied to precision medicine. de Leval and colleagues summarize the potential of DNA sequencing of tumors and cell-free plasma, epigenetic profiling, and single-cell analyses to inform clinical decision-making about diagnosis, prognosis, and treatment for patients with lymphoid neoplasms. Similarly, Duncavage and colleagues cover genomic profiling for myeloid neoplasms and the acute leukemias, focusing principally on somatic changes but also with emphasis on the emerging importance of germline gene mutations in certain diseases. 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profiling for clinical decision making in myeloid neoplasms and acute leukemia</title><author>Duncavage, Eric J. ; Bagg, Adam ; Hasserjian, Robert P. ; DiNardo, Courtney D. ; Godley, Lucy A. ; Iacobucci, Ilaria ; Jaiswal, Siddhartha ; Malcovati, Luca ; Vannucchi, Alessandro M. ; Patel, Keyur P. ; Arber, Daniel A. ; Arcila, Maria E. ; Bejar, Rafael ; Berliner, Nancy ; Borowitz, Michael J. ; Branford, Susan ; Brown, Anna L. ; Cargo, Catherine A. ; Döhner, Hartmut ; Falini, Brunangelo ; Garcia-Manero, Guillermo ; Haferlach, Torsten ; Hellström-Lindberg, Eva ; Kim, Annette S. ; Klco, Jeffery M. ; Komrokji, Rami ; Lee-Cheun Loh, Mignon ; Loghavi, Sanam ; Mullighan, Charles G. ; Ogawa, Seishi ; Orazi, Attilio ; Papaemmanuil, Elli ; Reiter, Andreas ; Ross, David M. ; Savona, Michael ; Shimamura, Akiko ; Skoda, Radek C. ; Solé, Francesc ; Stone, Richard M. ; Tefferi, Ayalew ; Walter, Matthew J. ; Wu, David ; Ebert, Benjamin L. ; Cazzola, 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Mario</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>Blood</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Duncavage, Eric J.</au><au>Bagg, Adam</au><au>Hasserjian, Robert P.</au><au>DiNardo, Courtney D.</au><au>Godley, Lucy A.</au><au>Iacobucci, Ilaria</au><au>Jaiswal, Siddhartha</au><au>Malcovati, Luca</au><au>Vannucchi, Alessandro M.</au><au>Patel, Keyur P.</au><au>Arber, Daniel A.</au><au>Arcila, Maria E.</au><au>Bejar, Rafael</au><au>Berliner, Nancy</au><au>Borowitz, Michael J.</au><au>Branford, Susan</au><au>Brown, Anna L.</au><au>Cargo, Catherine A.</au><au>Döhner, Hartmut</au><au>Falini, Brunangelo</au><au>Garcia-Manero, Guillermo</au><au>Haferlach, Torsten</au><au>Hellström-Lindberg, Eva</au><au>Kim, Annette S.</au><au>Klco, Jeffery M.</au><au>Komrokji, Rami</au><au>Lee-Cheun Loh, Mignon</au><au>Loghavi, Sanam</au><au>Mullighan, Charles G.</au><au>Ogawa, Seishi</au><au>Orazi, Attilio</au><au>Papaemmanuil, Elli</au><au>Reiter, Andreas</au><au>Ross, David M.</au><au>Savona, Michael</au><au>Shimamura, Akiko</au><au>Skoda, Radek C.</au><au>Solé, Francesc</au><au>Stone, Richard M.</au><au>Tefferi, Ayalew</au><au>Walter, Matthew J.</au><au>Wu, David</au><au>Ebert, Benjamin L.</au><au>Cazzola, Mario</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genomic profiling for clinical decision making in myeloid neoplasms and acute leukemia</atitle><jtitle>Blood</jtitle><addtitle>Blood</addtitle><date>2022-11-24</date><risdate>2022</risdate><volume>140</volume><issue>21</issue><spage>2228</spage><epage>2247</epage><pages>2228-2247</pages><issn>0006-4971</issn><issn>1528-0020</issn><eissn>1528-0020</eissn><abstract>Myeloid neoplasms and acute leukemias derive from the clonal expansion of hematopoietic cells driven by somatic gene mutations. Although assessment of morphology plays a crucial role in the diagnostic evaluation of patients with these malignancies, genomic characterization has become increasingly important for accurate diagnosis, risk assessment, and therapeutic decision making. Conventional cytogenetics, a comprehensive and unbiased method for assessing chromosomal abnormalities, has been the mainstay of genomic testing over the past several decades and remains relevant today. However, more recent advances in sequencing technology have increased our ability to detect somatic mutations through the use of targeted gene panels, whole-exome sequencing, whole-genome sequencing, and whole-transcriptome sequencing or RNA sequencing. In patients with myeloid neoplasms, whole-genome sequencing represents a potential replacement for both conventional cytogenetic and sequencing approaches, providing rapid and accurate comprehensive genomic profiling. DNA sequencing methods are used not only for detecting somatically acquired gene mutations but also for identifying germline gene mutations associated with inherited predisposition to hematologic neoplasms. The 2022 International Consensus Classification of myeloid neoplasms and acute leukemias makes extensive use of genomic data. The aim of this report is to help physicians and laboratorians implement genomic testing for diagnosis, risk stratification, and clinical decision making and illustrates the potential of genomic profiling for enabling personalized medicine in patients with hematologic neoplasms. Complementing the recently published Blood articles outlining the 2022 International Consensus Classifications for hematological malignancies (Vol. 140, Issue 11), this pair of Special Reports illustrates how molecular pathology can be applied to precision medicine. de Leval and colleagues summarize the potential of DNA sequencing of tumors and cell-free plasma, epigenetic profiling, and single-cell analyses to inform clinical decision-making about diagnosis, prognosis, and treatment for patients with lymphoid neoplasms. Similarly, Duncavage and colleagues cover genomic profiling for myeloid neoplasms and the acute leukemias, focusing principally on somatic changes but also with emphasis on the emerging importance of germline gene mutations in certain diseases. Both articles provide up-to-date references for how to apply genomic information to practice.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>36130297</pmid><doi>10.1182/blood.2022015853</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0003-2116-5536</orcidid><orcidid>https://orcid.org/0000-0002-7753-0697</orcidid><orcidid>https://orcid.org/0000-0002-4683-9958</orcidid><orcidid>https://orcid.org/0000-0003-1914-9158</orcidid><orcidid>https://orcid.org/0000-0002-9023-0138</orcidid><orcidid>https://orcid.org/0000-0001-5755-0730</orcidid><orcidid>https://orcid.org/0000-0002-1871-1850</orcidid><orcidid>https://orcid.org/0000-0003-3763-5504</orcidid><orcidid>https://orcid.org/0000-0001-6984-8817</orcidid><orcidid>https://orcid.org/0000-0002-2160-9689</orcidid><orcidid>https://orcid.org/0000-0002-7198-5965</orcidid><orcidid>https://orcid.org/0000-0002-1876-5269</orcidid><orcidid>https://orcid.org/0000-0001-7171-2935</orcidid><orcidid>https://orcid.org/0000-0003-2008-1365</orcidid><orcidid>https://orcid.org/0000-0001-8980-3202</orcidid><orcidid>https://orcid.org/0000-0003-0197-5451</orcidid><orcidid>https://orcid.org/0000-0002-5095-7981</orcidid><orcidid>https://orcid.org/0000-0002-9597-0477</orcidid><orcidid>https://orcid.org/0000-0002-7778-5374</orcidid><orcidid>https://orcid.org/0000-0001-7729-5730</orcidid><orcidid>https://orcid.org/0000-0001-5081-2427</orcidid><orcidid>https://orcid.org/0000-0002-8699-2439</orcidid><orcidid>https://orcid.org/0000-0002-1460-1611</orcidid><orcidid>https://orcid.org/0000-0002-3251-2161</orcidid><orcidid>https://orcid.org/0000-0002-5603-4598</orcidid><orcidid>https://orcid.org/0000-0001-9003-0390</orcidid><orcidid>https://orcid.org/0000-0002-7753-1091</orcidid><oa>free_for_read</oa></addata></record>
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source MEDLINE; SWEPUB Freely available online; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Clinical Decision-Making
Genomics
Hematologic Neoplasms - genetics
Humans
Leukemia, Myeloid, Acute - diagnosis
Leukemia, Myeloid, Acute - genetics
Mutation
Myeloproliferative Disorders
Neoplasms - genetics
title Genomic profiling for clinical decision making in myeloid neoplasms and acute leukemia
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