Literature DB >> 29463830

Evolving M-protein pattern in patients with smoldering multiple myeloma: impact on early progression.

Carlos Fernández de Larrea1, Ignacio Isola1, Arturo Pereira2, Ma Teresa Cibeira1, Laura Magnano3, Natalia Tovar1, Luis-Gerardo Rodríguez-Lobato1, Xavier Calvo3, Juan I Aróstegui4, Tania Díaz1, Ester Lozano1, María Rozman3, Jordi Yagüe4, Joan Bladé5, Laura Rosiñol1.   

Abstract

Smoldering multiple myeloma (SMM) is a biologically heterogeneous, clinically defined entity with a variable rate of progression to symptomatic multiple myeloma (MM). Reliable markers for progression are critical for the development of potential therapeutic interventions. We retrospectively evaluated the predictive value of the evolving pattern of serum M-protein among other progression risk factors in 206 patients with SMM diagnosed between 1973 and 2012. Median time from recognition of evolving type to progression into symptomatic MM was 1.1 years (95% CI 0.5-2.0) and progression rate at 3 years was 71%. Development of the evolving type drastically worsened the prognostic estimation made at diagnosis for every covariate predictive of progression (serum M-protein size, bone marrow plasma cell infiltration, immunoparesis and Mayo Clinic risk). On average, the hazard ratio for progression to symptomatic MM increased to 5.1 (95% CI 3.4-7.6) after recognition of the evolving type. In conclusion, in patients with SMM the evolving pattern accurately predicts the risk of early progression to symptomatic disease, thereby allowing the identification of ultra-high risk patients who would be candidates for immediate therapy.

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Year:  2018        PMID: 29463830     DOI: 10.1038/s41375-018-0013-4

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  22 in total

Review 1.  Progress in the Management of Smoldering Multiple Myeloma.

Authors:  Timothy M Schmidt; Natalie S Callander
Journal:  Curr Hematol Malig Rep       Date:  2021-05-13       Impact factor: 3.952

2.  Timing of treatment of smoldering myeloma: delay until progression.

Authors:  Shaji K Kumar
Journal:  Blood Adv       Date:  2018-11-13

3.  Timing of treatment of smoldering myeloma: early treatment.

Authors:  María-Victoria Mateos; Verónica González-Calle
Journal:  Blood Adv       Date:  2018-11-13

Review 4.  High-risk smoldering myeloma versus early detection of multiple myeloma: Current models, goals of therapy, and clinical implications.

Authors:  Chutima Kunacheewa; Elisabet E Manasanch
Journal:  Best Pract Res Clin Haematol       Date:  2020-01-25       Impact factor: 3.020

5.  Risk stratification of smoldering multiple myeloma: predictive value of free light chains and group-based trajectory modeling.

Authors:  Vernon Wu; Erin Moshier; Siyang Leng; Bart Barlogie; Hearn Jay Cho; Sundar Jagannath; Deepu Madduri; Madhu Mazumdar; Samir Parekh; Ajai Chari
Journal:  Blood Adv       Date:  2018-06-26

6.  Smoldering multiple myeloma: evolving diagnostic criteria and treatment strategies.

Authors:  Alissa Visram; Joselle Cook; Rahma Warsame
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2021-12-10

7.  Immunoparesis defined by heavy/light chain pair suppression in smoldering multiple myeloma shows initial isotype specificity and involves other isotypes in advanced disease.

Authors:  Ignacio Isola; David F Moreno; Esther Moga; Mari-Pau Mena; Natalia Tovar; Luis Gerardo Rodríguez-Lobato; Aina Oliver-Caldés; M Carmen Salgado; Fara Brasó-Maristany; Jordi Yagüe; M Teresa Cibeira; Aleix Prat; Laura Rosiñol; Joan Bladé; Carlos Fernández de Larrea
Journal:  Ann Hematol       Date:  2021-08-31       Impact factor: 3.673

8.  Post-MGUS Diagnosis Serum Monoclonal-Protein Velocity and the Progression of Monoclonal Gammopathy of Undetermined Significance to Multiple Myeloma.

Authors:  Su-Hsin Chang; Jason Gumbel; Suhong Luo; Theodore S Thomas; Kristen M Sanfilippo; Jingqin Luo; Graham A Colditz; Kenneth R Carson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-09-09       Impact factor: 4.254

9.  Defining an Ultra-Low Risk Group in Asymptomatic IgM Monoclonal Gammopathy.

Authors:  David F Moreno; Arturo Pereira; Natalia Tovar; María Teresa Cibeira; Laura Magnano; María Rozman; Mónica López-Guerra; Dolors Colomer; Beatriz Martín-Antonio; Raquel Jiménez-Segura; Ignacio Isola; Luis Gerardo Rodríguez-Lobato; Aina Oliver-Caldés; Mari Pau Mena; Laura Rosiñol; Joan Bladé; Carlos Fernández de Larrea
Journal:  Cancers (Basel)       Date:  2021-04-23       Impact factor: 6.639

10.  Testing Mayo Clinic's New 20/20/20 Risk Model in Another Cohort of Smoldering Myeloma Patients: A Retrospective Study.

Authors:  Camille Tessier; Thomas Allard; Jean-Samuel Boudreault; Rayan Kaedbey; Vincent Éthier; Fléchère Fortin; Michel Pavic
Journal:  Curr Oncol       Date:  2021-05-26       Impact factor: 3.677

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