Literature DB >> 24434993

Determining the significance of MGUS.

Giampaolo Merlini1.   

Abstract

In this issue of Blood, Turesson et al study the risk of progression of monoclonal gammopathy of undetermined significance (MGUS) to lymphoplasmacellular and myeloid malignancies in a large population, validating current risk factors and adding immunoparesis as a predictor of progression.

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Year:  2014        PMID： 24434993     DOI： 10.1182/blood-2013-12-539940

Source DB:  PubMed          Journal:  Blood        ISSN： 0006-4971            Impact factor:   22.113


  5 in total

1.  Obesity and the Transformation of Monoclonal Gammopathy of Undetermined Significance to Multiple Myeloma: A Population-Based Cohort Study.

Authors:  Su-Hsin Chang; Suhong Luo; Theodore S Thomas; Katiuscia K O'Brian; Graham A Colditz; Nils P Carlsson; Kenneth R Carson
Journal:  J Natl Cancer Inst       Date:  2016-12-31       Impact factor: 13.506

2.  Association between metformin use and progression of monoclonal gammopathy of undetermined significance to multiple myeloma in US veterans with diabetes mellitus: a population-based retrospective cohort study.

Authors:  Su-Hsin Chang; Suhong Luo; Katiuscia K O'Brian; Theodore S Thomas; Graham A Colditz; Nils P Carlsson; Kenneth R Carson
Journal:  Lancet Haematol       Date:  2015-01       Impact factor: 18.959

Review 3.  Monoclonal gammopathy of renal significance (MGRS): the characteristics and significance of a new meta-entity.

Authors:  Mariana Ciocchini; Jorge Arbelbide; Carlos G Musso
Journal:  Int Urol Nephrol       Date:  2017-04-19       Impact factor: 2.370

4.  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

5.  Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity.

Authors:  Maura Garofalo; Luca Piccoli; Margherita Romeo; Maria Monica Barzago; Sara Ravasio; Mathilde Foglierini; Milos Matkovic; Jacopo Sgrignani; Raoul De Gasparo; Marco Prunotto; Luca Varani; Luisa Diomede; Olivier Michielin; Antonio Lanzavecchia; Andrea Cavalli
Journal:  Nat Commun       Date:  2021-06-10       Impact factor: 14.919
  5 in total

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