Literature DB >> 32970151

Evaluation of Daratumumab for the Treatment of Multiple Myeloma in Patients With High-risk Cytogenetic Factors: A Systematic Review and Meta-analysis.

Smith Giri1,2, Alyssa Grimshaw3, Susan Bal2, Kelly Godby2, Prakash Kharel4, Benjamin Djulbegovic5, Meletios A Dimopoulos6, Thierry Facon7, Saad Z Usmani8, María-Victoria Mateos9, Luciano J Costa2.   

Abstract

IMPORTANCE: The addition of daratumumab to backbone multiple myeloma (MM) regimens is associated with improved response rates and progression-free survival (PFS). Whether improved outcomes are also associated with this regimen among patients with cytogenetically defined high-risk MM (HRMM) remains unclear.
OBJECTIVE: To measure PFS associated with adding daratumumab to backbone MM regimens among patients with HRMM. DATA SOURCES: For this systematic review and meta-analysis, MEDLINE, Embase, PubMed, Scopus, Web of Science Core Collection, Cochrane Library, clinical trials registries, and meeting libraries were searched from inception to January 2, 2020, using terms reflecting multiple myeloma and daratumumab. STUDY SELECTION: Included studies were phase 3 randomized clinical trials that compared backbone MM regimens with the same regimen plus daratumumab in newly diagnosed or relapsed or refractory MM, such that the only difference between the intervention and control groups was use of daratumumab and reported outcomes by cytogenetic risk. High-risk MM was defined as the presence of t(4;14), t(14;16), or del(17p). DATA EXTRACTION AND SYNTHESIS: Using the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline, 2 investigators independently extracted study data, with disagreements resolved by a third investigator. Quality was assessed by the Cochrane risk-of-bias method. MAIN OUTCOMES AND MEASURES: Data on effectiveness were extracted using hazard ratios (HRs) for PFS. Relative log-HRs were pooled using a DerSimonian-Laird random-effects model. Heterogeneity was assessed using the Cochran Q and the I2 statistic.
RESULTS: Of 5194 studies screened, 6 phase 3 trials were eligible, including 3 trials for newly diagnosed MM (2528 patients; 358 with HRMM) and 3 trials for relapsed or refractory MM (1533 patients; 222 with HRMM). Among patients with newly diagnosed HRMM, the addition of daratumumab to backbone regimens was associated with improved PFS (pooled HR, 0.67; 95% CI, 0.47-0.95; P = .02), with little evidence of heterogeneity (Cochran Q, P = .77; I2 = 0%). Similar results were seen among patients with relapsed or refractory HRMM (pooled HR, 0.45; 95% CI, 0.30-0.67; P < .001), again with little evidence of heterogeneity (Cochran Q, P = .63; I2 = 0%). CONCLUSIONS AND RELEVANCE: This study suggests that incorporating daratumumab to backbone regimens may be associated with improved PFS among patients with newly diagnosed HRMM or relapsed or refractory HRMM.

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Year:  2020        PMID: 32970151      PMCID: PMC7516804          DOI: 10.1001/jamaoncol.2020.4338

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  12 in total

1.  High-risk multiple myeloma: how to treat at diagnosis and relapse?

Authors:  María-Victoria Mateos; Borja Puertas Martínez; Verónica González-Calle
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2021-12-10

Review 2.  Transplant-ineligible newly diagnosed multiple myeloma: Current and future approaches to clinical care: A Young International Society of Geriatric Oncology Review Paper.

Authors:  Shakira J Grant; Hira S Mian; Smith Giri; Melina Boutin; Lorenzo Dottorini; Nina R Neuendorff; Jessica L Krok-Schoen; Nikita Nikita; Ashley E Rosko; Tanya M Wildes; Sonja Zweegman
Journal:  J Geriatr Oncol       Date:  2020-12-17       Impact factor: 3.599

Review 3.  Chromosome 1q21 abnormalities in multiple myeloma.

Authors:  Timothy M Schmidt; Rafael Fonseca; Saad Z Usmani
Journal:  Blood Cancer J       Date:  2021-04-29       Impact factor: 11.037

4.  Daratumumab Improves Depth of Response and Progression-free Survival in Transplant-ineligible, High-risk, Newly Diagnosed Multiple Myeloma.

Authors:  Andrzej J Jakubowiak; Shaji Kumar; Rohan Medhekar; Huiling Pei; Patrick Lefebvre; Shuchita Kaila; Jianming He; Marie-Hélène Lafeuille; Annelore Cortoos; Anil Londhe; Panagiotis Mavros; Thomas S Lin; Saad Z Usmani
Journal:  Oncologist       Date:  2022-07-05       Impact factor: 5.837

Review 5.  SOHO State of the Art Updates and Next Questions: Treatment of Older, Vulnerable Adults with Multiple Myeloma.

Authors:  Shakira J Grant; Girija Joshi; Brea Lipe
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2021-11-11

Review 6.  Overcoming the Immunosuppressive Tumor Microenvironment in Multiple Myeloma.

Authors:  Fatih M Uckun
Journal:  Cancers (Basel)       Date:  2021-04-22       Impact factor: 6.639

7.  [Progress in the treatment of multiple myeloma with daratumumab].

Authors:  J Lu
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2021-03-14

8.  Addition of daratumumab to multiple myeloma backbone regimens significantly improves clinical outcomes: a systematic review and meta-analysis of randomised controlled trials.

Authors:  Zsolt Szakács; Hussain Alizadeh; Szabolcs Kiss; Noémi Gede; Péter Hegyi; Bettina Nagy; Rita Deák; Fanni Dembrovszky; Stefania Bunduc; Bálint Erőss; Tamás Leiner
Journal:  Sci Rep       Date:  2021-11-09       Impact factor: 4.379

9.  The association of Metabolic Syndrome and its Components with the Incidence and Survival of Colorectal Cancer: A Systematic Review and Meta-analysis.

Authors:  Fei Han; Guanghai Wu; Shuai Zhang; Judong Zhang; Yongjie Zhao; Jing Xu
Journal:  Int J Biol Sci       Date:  2021-01-01       Impact factor: 6.580

Review 10.  Monoclonal Antibodies and Antibody Drug Conjugates in Multiple Myeloma.

Authors:  Jakub Radocha; Niels W C J van de Donk; Katja Weisel
Journal:  Cancers (Basel)       Date:  2021-03-29       Impact factor: 6.639

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