Integrative multi-omics identifies high risk multiple myeloma subgroup associated with significant DNA loss and dysregulated DNA repair and cell cycle pathways.


Journal

BMC medical genomics
ISSN: 1755-8794
Titre abrégé: BMC Med Genomics
Pays: England
ID NLM: 101319628

Informations de publication

Date de publication:
18 12 2021
Historique:
received: 21 09 2021
accepted: 30 11 2021
entrez: 19 12 2021
pubmed: 20 12 2021
medline: 8 4 2022
Statut: epublish

Résumé

Despite significant therapeutic advances in improving lives of multiple myeloma (MM) patients, it remains mostly incurable, with patients ultimately becoming refractory to therapies. MM is a genetically heterogeneous disease and therapeutic resistance is driven by a complex interplay of disease pathobiology and mechanisms of drug resistance. We applied a multi-omics strategy using tumor-derived gene expression, single nucleotide variant, copy number variant, and structural variant profiles to investigate molecular subgroups in 514 newly diagnosed MM (NDMM) samples and identified 12 molecularly defined MM subgroups (MDMS1-12) with distinct genomic and transcriptomic features. Our integrative approach let us identify NDMM subgroups with transversal profiles to previously described ones, based on single data types, which shows the impact of this approach for disease stratification. One key novel subgroup is our MDMS8, associated with poor clinical outcome [median overall survival, 38 months (global log-rank p-value < 1 × 10 Using multi-omics unsupervised clustering we were able to discover a new high-risk multiple myeloma patient segment. This high-risk group presents diverse previously known genetic markers, but also a new characteristic defined by accumulation of genomic loss which seems to drive transcriptional dysregulation of cell cycle, DNA repair and DNA damage. Finally, our work identified various master regulators, including E2F2 and CKS1B as the genes controlling these key biological pathways.

Sections du résumé

BACKGROUND
Despite significant therapeutic advances in improving lives of multiple myeloma (MM) patients, it remains mostly incurable, with patients ultimately becoming refractory to therapies. MM is a genetically heterogeneous disease and therapeutic resistance is driven by a complex interplay of disease pathobiology and mechanisms of drug resistance. We applied a multi-omics strategy using tumor-derived gene expression, single nucleotide variant, copy number variant, and structural variant profiles to investigate molecular subgroups in 514 newly diagnosed MM (NDMM) samples and identified 12 molecularly defined MM subgroups (MDMS1-12) with distinct genomic and transcriptomic features.
RESULTS
Our integrative approach let us identify NDMM subgroups with transversal profiles to previously described ones, based on single data types, which shows the impact of this approach for disease stratification. One key novel subgroup is our MDMS8, associated with poor clinical outcome [median overall survival, 38 months (global log-rank p-value < 1 × 10
CONCLUSION
Using multi-omics unsupervised clustering we were able to discover a new high-risk multiple myeloma patient segment. This high-risk group presents diverse previously known genetic markers, but also a new characteristic defined by accumulation of genomic loss which seems to drive transcriptional dysregulation of cell cycle, DNA repair and DNA damage. Finally, our work identified various master regulators, including E2F2 and CKS1B as the genes controlling these key biological pathways.

Identifiants

pubmed: 34922559
doi: 10.1186/s12920-021-01140-5
pii: 10.1186/s12920-021-01140-5
pmc: PMC8684160
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

295

Informations de copyright

© 2021. The Author(s).

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Auteurs

María Ortiz-Estévez (M)

BMS Center for Innovation and Translational Research Europe (CITRE), A Bristol Myers Squibb Company, Sevilla, Spain.

Fadi Towfic (F)

Bristol Myers Squibb, San Diego, CA, USA.

Erin Flynt (E)

Bristol Myers Squibb, 181 Passaic Ave, Summit, NJ, 07901, USA.

Nicholas Stong (N)

Bristol Myers Squibb, 181 Passaic Ave, Summit, NJ, 07901, USA.

In Sock Jang (IS)

Bristol Myers Squibb, San Diego, CA, USA.

Kai Wang (K)

Bristol Myers Squibb, San Diego, CA, USA.

Matthew W B Trotter (MWB)

BMS Center for Innovation and Translational Research Europe (CITRE), A Bristol Myers Squibb Company, Sevilla, Spain.

Anjan Thakurta (A)

Bristol Myers Squibb, 181 Passaic Ave, Summit, NJ, 07901, USA. anjan.thakurta@bms.com.

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Classifications MeSH