Cargando…
Genomic characterization of functional high-risk multiple myeloma patients
Multiple myeloma (MM) patients with suboptimal response to induction therapy or early relapse, classified as the functional high-risk (FHR) patients, have been shown to have poor outcomes. We evaluated newly-diagnosed MM patients in the CoMMpass dataset and divided them into three groups: genomic hi...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803925/ https://www.ncbi.nlm.nih.gov/pubmed/35102139 http://dx.doi.org/10.1038/s41408-021-00576-3 |
_version_ | 1784642976191873024 |
---|---|
author | Soekojo, Cinnie Yentia Chung, Tae-Hoon Furqan, Muhammad Shaheryar Chng, Wee Joo |
author_facet | Soekojo, Cinnie Yentia Chung, Tae-Hoon Furqan, Muhammad Shaheryar Chng, Wee Joo |
author_sort | Soekojo, Cinnie Yentia |
collection | PubMed |
description | Multiple myeloma (MM) patients with suboptimal response to induction therapy or early relapse, classified as the functional high-risk (FHR) patients, have been shown to have poor outcomes. We evaluated newly-diagnosed MM patients in the CoMMpass dataset and divided them into three groups: genomic high-risk (GHR) group for patients with t(4;14) or t(14;16) or complete loss of functional TP53 (bi-allelic deletion of TP53 or mono-allelic deletion of 17p13 (del17p13) and TP53 mutation) or 1q21 gain and International Staging System (ISS) stage 3; FHR group for patients who had no markers of GHR group but were refractory to induction therapy or had early relapse within 12 months; and standard-risk (SR) group for patients who did not fulfill any of the criteria for GHR or FHR. FHR patients had the worst survival. FHR patients are characterized by increased mutations affecting the IL-6/JAK/STAT3 pathway, and a gene expression profile associated with aberrant mitosis and DNA damage response. This is also corroborated by the association with the mutational signature associated with abnormal DNA damage response. We have also developed a machine learning based classifier that can identify most of these patients at diagnosis. |
format | Online Article Text |
id | pubmed-8803925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88039252022-02-07 Genomic characterization of functional high-risk multiple myeloma patients Soekojo, Cinnie Yentia Chung, Tae-Hoon Furqan, Muhammad Shaheryar Chng, Wee Joo Blood Cancer J Article Multiple myeloma (MM) patients with suboptimal response to induction therapy or early relapse, classified as the functional high-risk (FHR) patients, have been shown to have poor outcomes. We evaluated newly-diagnosed MM patients in the CoMMpass dataset and divided them into three groups: genomic high-risk (GHR) group for patients with t(4;14) or t(14;16) or complete loss of functional TP53 (bi-allelic deletion of TP53 or mono-allelic deletion of 17p13 (del17p13) and TP53 mutation) or 1q21 gain and International Staging System (ISS) stage 3; FHR group for patients who had no markers of GHR group but were refractory to induction therapy or had early relapse within 12 months; and standard-risk (SR) group for patients who did not fulfill any of the criteria for GHR or FHR. FHR patients had the worst survival. FHR patients are characterized by increased mutations affecting the IL-6/JAK/STAT3 pathway, and a gene expression profile associated with aberrant mitosis and DNA damage response. This is also corroborated by the association with the mutational signature associated with abnormal DNA damage response. We have also developed a machine learning based classifier that can identify most of these patients at diagnosis. Nature Publishing Group UK 2022-01-31 /pmc/articles/PMC8803925/ /pubmed/35102139 http://dx.doi.org/10.1038/s41408-021-00576-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Soekojo, Cinnie Yentia Chung, Tae-Hoon Furqan, Muhammad Shaheryar Chng, Wee Joo Genomic characterization of functional high-risk multiple myeloma patients |
title | Genomic characterization of functional high-risk multiple myeloma patients |
title_full | Genomic characterization of functional high-risk multiple myeloma patients |
title_fullStr | Genomic characterization of functional high-risk multiple myeloma patients |
title_full_unstemmed | Genomic characterization of functional high-risk multiple myeloma patients |
title_short | Genomic characterization of functional high-risk multiple myeloma patients |
title_sort | genomic characterization of functional high-risk multiple myeloma patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803925/ https://www.ncbi.nlm.nih.gov/pubmed/35102139 http://dx.doi.org/10.1038/s41408-021-00576-3 |
work_keys_str_mv | AT soekojocinnieyentia genomiccharacterizationoffunctionalhighriskmultiplemyelomapatients AT chungtaehoon genomiccharacterizationoffunctionalhighriskmultiplemyelomapatients AT furqanmuhammadshaheryar genomiccharacterizationoffunctionalhighriskmultiplemyelomapatients AT chngweejoo genomiccharacterizationoffunctionalhighriskmultiplemyelomapatients |