Classification and Prognostic Stratification Based on Genomic Features in Myelodysplastic and Myeloproliferative Neoplasm- and Their Overlapping Conditions
: Myeloid neoplasms encompass a diverse group of disorders. In this study, we aimed to analyze the clinical and genomic data of patients with myeloproliferative neoplasm (MPN), myelodysplastic neoplasm (MDS), and their overlapping conditions, such as MDS/MPN and aplastic anemia (AA), to help redefin...
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creator | Lee, Jong-Mi Lee, Ginkyeng Kim, Taeksang Ahn, Ari Jung, Jin Kim, Yoo-Jin Park, Silvia Kwag, Daehun Lee, Sung-Eun Park, Sung-Soo Kim, Tong-Yoon Cho, Bin Chung, Nack-Gyun Lee, Jae Wook Yoo, Jae Won Jo, Suejung Kim, Yonggoo Kim, Myungshin |
description | : Myeloid neoplasms encompass a diverse group of disorders. In this study, we aimed to analyze the clinical and genomic data of patients with myeloproliferative neoplasm (MPN), myelodysplastic neoplasm (MDS), and their overlapping conditions, such as MDS/MPN and aplastic anemia (AA), to help redefine the disease classification.
: Clinico-genomic data of 1585 patients diagnosed with MPN (
= 715), MDS (
= 698), MDS/MPN (
= 78), and AA (
= 94) were collected. Patterns of 53 recurrent genomic abnormalities were compartmentalized into 10 groups using a Dirichlet process (DP).
These genomic groups were correlated with specific genomic features, survival outcomes, and disease subtypes. Groups DP1 and DP5, characterized by
and
mutations, respectively, showed very favorable prognoses among the patients with MPN. Groups DP2, DP7, and DP9 demonstrated very adverse prognoses across the disease subtypes. DP2 included patients with MDS harboring
mutations and complex karyotypes; DP9 comprised patients with acute myeloid leukemia-related mutations, including
; and DP7 included patients with
mutations. Groups DP10 and DP8, linked to
and
mutations or chromosome 1q derivatives, presented a favorable risk profile. Improved survival was observed with transplantation in groups DP2, DP7, and DP9.
: These findings highlight the role of genomic classifications in guiding personalized treatment strategies, ultimately enhancing the understanding and management of myeloid neoplasms. |
doi_str_mv | 10.3390/cancers16234121 |
format | Article |
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: Clinico-genomic data of 1585 patients diagnosed with MPN (
= 715), MDS (
= 698), MDS/MPN (
= 78), and AA (
= 94) were collected. Patterns of 53 recurrent genomic abnormalities were compartmentalized into 10 groups using a Dirichlet process (DP).
These genomic groups were correlated with specific genomic features, survival outcomes, and disease subtypes. Groups DP1 and DP5, characterized by
and
mutations, respectively, showed very favorable prognoses among the patients with MPN. Groups DP2, DP7, and DP9 demonstrated very adverse prognoses across the disease subtypes. DP2 included patients with MDS harboring
mutations and complex karyotypes; DP9 comprised patients with acute myeloid leukemia-related mutations, including
; and DP7 included patients with
mutations. Groups DP10 and DP8, linked to
and
mutations or chromosome 1q derivatives, presented a favorable risk profile. Improved survival was observed with transplantation in groups DP2, DP7, and DP9.
: These findings highlight the role of genomic classifications in guiding personalized treatment strategies, ultimately enhancing the understanding and management of myeloid neoplasms.</description><identifier>ISSN: 2072-6694</identifier><identifier>EISSN: 2072-6694</identifier><identifier>DOI: 10.3390/cancers16234121</identifier><identifier>PMID: 39682306</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Bone marrow ; Cancer ; Classification ; Disease ; Gene mutations ; Genes ; Genetic aspects ; Genomics ; Hematology ; Leukemia ; Medical colleges ; Morphology ; Mutation ; p53 Protein ; Patients ; Stem cell transplantation ; Stem cells ; Survival analysis ; Transplantation ; Transplants & implants ; Tumor proteins ; Tumors</subject><ispartof>Cancers, 2024-12, Vol.16 (23), p.4121</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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><orcidid>0000-0003-4855-390X ; 0000-0002-9559-992X ; 0000-0001-7970-1691 ; 0000-0002-0735-0287 ; 0009-0004-7550-151X ; 0000-0001-8632-0168 ; 0000-0002-9810-2050 ; 0000-0002-8826-4136 ; 0000-0003-3353-882X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39682306$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Jong-Mi</creatorcontrib><creatorcontrib>Lee, Ginkyeng</creatorcontrib><creatorcontrib>Kim, Taeksang</creatorcontrib><creatorcontrib>Ahn, Ari</creatorcontrib><creatorcontrib>Jung, Jin</creatorcontrib><creatorcontrib>Kim, Yoo-Jin</creatorcontrib><creatorcontrib>Park, Silvia</creatorcontrib><creatorcontrib>Kwag, Daehun</creatorcontrib><creatorcontrib>Lee, Sung-Eun</creatorcontrib><creatorcontrib>Park, Sung-Soo</creatorcontrib><creatorcontrib>Kim, Tong-Yoon</creatorcontrib><creatorcontrib>Cho, Bin</creatorcontrib><creatorcontrib>Chung, Nack-Gyun</creatorcontrib><creatorcontrib>Lee, Jae Wook</creatorcontrib><creatorcontrib>Yoo, Jae Won</creatorcontrib><creatorcontrib>Jo, Suejung</creatorcontrib><creatorcontrib>Kim, Yonggoo</creatorcontrib><creatorcontrib>Kim, Myungshin</creatorcontrib><title>Classification and Prognostic Stratification Based on Genomic Features in Myelodysplastic and Myeloproliferative Neoplasm- and Their Overlapping Conditions</title><title>Cancers</title><addtitle>Cancers (Basel)</addtitle><description>: Myeloid neoplasms encompass a diverse group of disorders. In this study, we aimed to analyze the clinical and genomic data of patients with myeloproliferative neoplasm (MPN), myelodysplastic neoplasm (MDS), and their overlapping conditions, such as MDS/MPN and aplastic anemia (AA), to help redefine the disease classification.
: Clinico-genomic data of 1585 patients diagnosed with MPN (
= 715), MDS (
= 698), MDS/MPN (
= 78), and AA (
= 94) were collected. Patterns of 53 recurrent genomic abnormalities were compartmentalized into 10 groups using a Dirichlet process (DP).
These genomic groups were correlated with specific genomic features, survival outcomes, and disease subtypes. Groups DP1 and DP5, characterized by
and
mutations, respectively, showed very favorable prognoses among the patients with MPN. Groups DP2, DP7, and DP9 demonstrated very adverse prognoses across the disease subtypes. DP2 included patients with MDS harboring
mutations and complex karyotypes; DP9 comprised patients with acute myeloid leukemia-related mutations, including
; and DP7 included patients with
mutations. Groups DP10 and DP8, linked to
and
mutations or chromosome 1q derivatives, presented a favorable risk profile. Improved survival was observed with transplantation in groups DP2, DP7, and DP9.
: These findings highlight the role of genomic classifications in guiding personalized treatment strategies, ultimately enhancing the understanding and management of myeloid neoplasms.</description><subject>Bone marrow</subject><subject>Cancer</subject><subject>Classification</subject><subject>Disease</subject><subject>Gene mutations</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genomics</subject><subject>Hematology</subject><subject>Leukemia</subject><subject>Medical colleges</subject><subject>Morphology</subject><subject>Mutation</subject><subject>p53 Protein</subject><subject>Patients</subject><subject>Stem cell transplantation</subject><subject>Stem cells</subject><subject>Survival analysis</subject><subject>Transplantation</subject><subject>Transplants & implants</subject><subject>Tumor proteins</subject><subject>Tumors</subject><issn>2072-6694</issn><issn>2072-6694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpNUMtOwzAQtBCIIuDMDVninOJH6iRHqGhBAooEnCM7XhdXqR3stFK_hZ_F4SW8B69mZmdXg9AZJWPOK3LZSNdAiFQwnlNG99ARIwXLhKjy_X_9CJ3GuCLpcU4LURyiEa9EyTgRR-hj2soYrbGN7K13WDqNn4JfOh972-DnPiT8j72WETROzRycXyd-BrLfBIjYOvywg9brXeyS4zA7WH1hXfCtNTA4bQE_gh8U6-xL8PIGNuDFFkIru866JZ56p-2wLZ6gAyPbCKc__zF6nd28TG-z-8X8bnp1ny0ppzSTWuQGlKCUKMJhwibEUCELopSsiCBcayq4MkVjWJlYIVQhFVMTVYJMSfBjdPHtmw5930Ds65XfBJdW1pzmKWkxYWVSjb9VS9lCbZ3xKZsmlYaUhHdgbMKvSlqVuagqmgbOf2w3ag267oJdy7Crf8Pnn_DriwY</recordid><startdate>20241209</startdate><enddate>20241209</enddate><creator>Lee, Jong-Mi</creator><creator>Lee, Ginkyeng</creator><creator>Kim, Taeksang</creator><creator>Ahn, Ari</creator><creator>Jung, Jin</creator><creator>Kim, Yoo-Jin</creator><creator>Park, Silvia</creator><creator>Kwag, Daehun</creator><creator>Lee, Sung-Eun</creator><creator>Park, Sung-Soo</creator><creator>Kim, Tong-Yoon</creator><creator>Cho, Bin</creator><creator>Chung, Nack-Gyun</creator><creator>Lee, Jae Wook</creator><creator>Yoo, Jae Won</creator><creator>Jo, Suejung</creator><creator>Kim, Yonggoo</creator><creator>Kim, Myungshin</creator><general>MDPI AG</general><scope>NPM</scope><scope>3V.</scope><scope>7T5</scope><scope>7TO</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</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>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0003-4855-390X</orcidid><orcidid>https://orcid.org/0000-0002-9559-992X</orcidid><orcidid>https://orcid.org/0000-0001-7970-1691</orcidid><orcidid>https://orcid.org/0000-0002-0735-0287</orcidid><orcidid>https://orcid.org/0009-0004-7550-151X</orcidid><orcidid>https://orcid.org/0000-0001-8632-0168</orcidid><orcidid>https://orcid.org/0000-0002-9810-2050</orcidid><orcidid>https://orcid.org/0000-0002-8826-4136</orcidid><orcidid>https://orcid.org/0000-0003-3353-882X</orcidid></search><sort><creationdate>20241209</creationdate><title>Classification and Prognostic Stratification Based on Genomic Features in Myelodysplastic and Myeloproliferative Neoplasm- and Their Overlapping Conditions</title><author>Lee, Jong-Mi ; Lee, Ginkyeng ; Kim, Taeksang ; Ahn, Ari ; Jung, Jin ; Kim, Yoo-Jin ; Park, Silvia ; Kwag, Daehun ; Lee, Sung-Eun ; Park, Sung-Soo ; Kim, Tong-Yoon ; Cho, Bin ; Chung, Nack-Gyun ; Lee, Jae Wook ; Yoo, Jae Won ; Jo, Suejung ; Kim, Yonggoo ; Kim, Myungshin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g1311-ad64feb6110b03e5250f16a70bba90603dd163bf7cf2852566b7ab2b5b8ea3963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Bone marrow</topic><topic>Cancer</topic><topic>Classification</topic><topic>Disease</topic><topic>Gene mutations</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genomics</topic><topic>Hematology</topic><topic>Leukemia</topic><topic>Medical colleges</topic><topic>Morphology</topic><topic>Mutation</topic><topic>p53 Protein</topic><topic>Patients</topic><topic>Stem cell transplantation</topic><topic>Stem cells</topic><topic>Survival analysis</topic><topic>Transplantation</topic><topic>Transplants & implants</topic><topic>Tumor proteins</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Jong-Mi</creatorcontrib><creatorcontrib>Lee, Ginkyeng</creatorcontrib><creatorcontrib>Kim, Taeksang</creatorcontrib><creatorcontrib>Ahn, Ari</creatorcontrib><creatorcontrib>Jung, Jin</creatorcontrib><creatorcontrib>Kim, Yoo-Jin</creatorcontrib><creatorcontrib>Park, Silvia</creatorcontrib><creatorcontrib>Kwag, Daehun</creatorcontrib><creatorcontrib>Lee, Sung-Eun</creatorcontrib><creatorcontrib>Park, Sung-Soo</creatorcontrib><creatorcontrib>Kim, Tong-Yoon</creatorcontrib><creatorcontrib>Cho, Bin</creatorcontrib><creatorcontrib>Chung, Nack-Gyun</creatorcontrib><creatorcontrib>Lee, Jae Wook</creatorcontrib><creatorcontrib>Yoo, Jae Won</creatorcontrib><creatorcontrib>Jo, Suejung</creatorcontrib><creatorcontrib>Kim, Yonggoo</creatorcontrib><creatorcontrib>Kim, Myungshin</creatorcontrib><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Access via ProQuest (Open Access)</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>ProQuest Central Basic</collection><jtitle>Cancers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Jong-Mi</au><au>Lee, Ginkyeng</au><au>Kim, Taeksang</au><au>Ahn, Ari</au><au>Jung, Jin</au><au>Kim, Yoo-Jin</au><au>Park, Silvia</au><au>Kwag, Daehun</au><au>Lee, Sung-Eun</au><au>Park, Sung-Soo</au><au>Kim, Tong-Yoon</au><au>Cho, Bin</au><au>Chung, Nack-Gyun</au><au>Lee, Jae Wook</au><au>Yoo, Jae Won</au><au>Jo, Suejung</au><au>Kim, Yonggoo</au><au>Kim, Myungshin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Classification and Prognostic Stratification Based on Genomic Features in Myelodysplastic and Myeloproliferative Neoplasm- and Their Overlapping Conditions</atitle><jtitle>Cancers</jtitle><addtitle>Cancers (Basel)</addtitle><date>2024-12-09</date><risdate>2024</risdate><volume>16</volume><issue>23</issue><spage>4121</spage><pages>4121-</pages><issn>2072-6694</issn><eissn>2072-6694</eissn><abstract>: Myeloid neoplasms encompass a diverse group of disorders. In this study, we aimed to analyze the clinical and genomic data of patients with myeloproliferative neoplasm (MPN), myelodysplastic neoplasm (MDS), and their overlapping conditions, such as MDS/MPN and aplastic anemia (AA), to help redefine the disease classification.
: Clinico-genomic data of 1585 patients diagnosed with MPN (
= 715), MDS (
= 698), MDS/MPN (
= 78), and AA (
= 94) were collected. Patterns of 53 recurrent genomic abnormalities were compartmentalized into 10 groups using a Dirichlet process (DP).
These genomic groups were correlated with specific genomic features, survival outcomes, and disease subtypes. Groups DP1 and DP5, characterized by
and
mutations, respectively, showed very favorable prognoses among the patients with MPN. Groups DP2, DP7, and DP9 demonstrated very adverse prognoses across the disease subtypes. DP2 included patients with MDS harboring
mutations and complex karyotypes; DP9 comprised patients with acute myeloid leukemia-related mutations, including
; and DP7 included patients with
mutations. Groups DP10 and DP8, linked to
and
mutations or chromosome 1q derivatives, presented a favorable risk profile. Improved survival was observed with transplantation in groups DP2, DP7, and DP9.
: These findings highlight the role of genomic classifications in guiding personalized treatment strategies, ultimately enhancing the understanding and management of myeloid neoplasms.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39682306</pmid><doi>10.3390/cancers16234121</doi><orcidid>https://orcid.org/0000-0003-4855-390X</orcidid><orcidid>https://orcid.org/0000-0002-9559-992X</orcidid><orcidid>https://orcid.org/0000-0001-7970-1691</orcidid><orcidid>https://orcid.org/0000-0002-0735-0287</orcidid><orcidid>https://orcid.org/0009-0004-7550-151X</orcidid><orcidid>https://orcid.org/0000-0001-8632-0168</orcidid><orcidid>https://orcid.org/0000-0002-9810-2050</orcidid><orcidid>https://orcid.org/0000-0002-8826-4136</orcidid><orcidid>https://orcid.org/0000-0003-3353-882X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bone marrow Cancer Classification Disease Gene mutations Genes Genetic aspects Genomics Hematology Leukemia Medical colleges Morphology Mutation p53 Protein Patients Stem cell transplantation Stem cells Survival analysis Transplantation Transplants & implants Tumor proteins Tumors |
title | Classification and Prognostic Stratification Based on Genomic Features in Myelodysplastic and Myeloproliferative Neoplasm- and Their Overlapping Conditions |
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