Literature DB >> 30768679

Substratification of patients with newly diagnosed standard-risk multiple myeloma.

Moritz Binder1, S Vincent Rajkumar1, Rhett P Ketterling2, Angela Dispenzieri1, Martha Q Lacy1, Morie A Gertz1, Francis K Buadi1, Suzanne R Hayman1, Yi L Hwa1, Steven R Zeldenrust1, John A Lust1, Stephen J Russell1, Nelson Leung1, Prashant Kapoor1, Ronald S Go1, Wilson I Gonsalves1, Robert A Kyle1, Shaji K Kumar1.   

Abstract

Despite the absence of high-risk cytogenetics and lower International Staging System (ISS) stages, a subset of patients with multiple myeloma (MM) experience poor overall survival (OS). We studied 1461 patients with newly diagnosed MM to identify patient and disease characteristics that predict a high-risk phenotype among standard-risk patients. Fifty-six percent of all patients presented with standard-risk disease. Among them, advanced age, extremes of body mass index, non-hyperdiploid karyotype and abnormal lymphocyte counts were associated with worse OS. Standard-risk patients with 0-1 of these adverse factors (hazard ratio [HR] 0·32, 95% confidence interval [CI] 0·24-0·43, P < 0·001) and 2 adverse factors (HR 0·54, 95% CI 0·41-0·72, P < 0·001) experienced better OS than high-risk patients. Two or more adverse factors were present in 17% of standard-risk patients and were associated with OS comparable to high-risk patients (HR 0·91, 95% CI 0·67-1·24, P = 0·548). Predictive power among standard-risk patients was improved using score groups compared to ISS stages. Patients with standard-risk MM are a heterogeneous group with one in six patients experiencing OS comparable to high-risk disease. Patients at risk can be identified using readily available patient and disease characteristics. These findings emphasize the importance of accurate risk stratification and help explain part of the heterogeneity observed in clinical practice.
© 2019 British Society for Haematology and John Wiley & Sons Ltd.

Entities:  

Keywords:  multiple myeloma; prognosis; risk stratification

Mesh:

Year:  2019        PMID: 30768679     DOI: 10.1111/bjh.15800

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  6 in total

1.  Inhibition of the Protein Arginine Methyltransferase PRMT5 in High-Risk Multiple Myeloma as a Novel Treatment Approach.

Authors:  Philip Vlummens; Stefaan Verhulst; Kim De Veirman; Anke Maes; Eline Menu; Jérome Moreaux; Hugues De Boussac; Nicolas Robert; Elke De Bruyne; Dirk Hose; Fritz Offner; Karin Vanderkerken; Ken Maes
Journal:  Front Cell Dev Biol       Date:  2022-06-08

Review 2.  Geriatric assessments and frailty scores in multiple myeloma patients: a needed tool for individualized treatment?

Authors:  Mandy-Deborah Möller; Laura Gengenbach; Giulia Graziani; Christine Greil; Ralph Wäsch; Monika Engelhardt
Journal:  Curr Opin Oncol       Date:  2021-11-01       Impact factor: 3.915

3.  A Novel Model of Tumor-Infiltrating B Lymphocyte Specific RNA-Binding Protein-Related Genes With Potential Prognostic Value and Therapeutic Targets in Multiple Myeloma.

Authors:  JingJing Zhang; Pengcheng He; Xiaoning Wang; Suhua Wei; Le Ma; Jing Zhao
Journal:  Front Genet       Date:  2021-12-17       Impact factor: 4.599

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

Authors:  María Ortiz-Estévez; Fadi Towfic; Erin Flynt; Nicholas Stong; In Sock Jang; Kai Wang; Matthew W B Trotter; Anjan Thakurta
Journal:  BMC Med Genomics       Date:  2021-12-18       Impact factor: 3.063

5.  Concepts of Double Hit and Triple Hit Disease in Multiple Myeloma, Entity and Prognostic Significance.

Authors:  Mehmet Baysal; Ufuk Demirci; Elif Umit; Hakki Onur Kirkizlar; Emine Ikbal Atli; Hakan Gurkan; Sedanur Karaman Gulsaran; Volkan Bas; Cisem Mail; Ahmet Muzaffer Demir
Journal:  Sci Rep       Date:  2020-04-06       Impact factor: 4.379

6.  Structured assessment of frailty in multiple myeloma as a paradigm of individualized treatment algorithms in cancer patients at advanced age.

Authors:  Monika Engelhardt; Gabriele Ihorst; Jesus Duque-Afonso; Ulrich Wedding; Ernst Spät-Schwalbe; Valentin Goede; Gerald Kolb; Reinhard Stauder; Ralph Wäsch
Journal:  Haematologica       Date:  2020-04-02       Impact factor: 9.941

  6 in total

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