BACKGROUND: Extramedullary disease is an uncommon manifestation in multiple myeloma and can either accompany newly diagnosed disease or develop with disease progression or relapse. We evaluated the impact of this disease feature on patients' outcome in the context of novel agents. DESIGN AND METHODS: We analyzed clinical and biological features of extramedullary disease in 936 patients with multiple myeloma enrolled in Total Therapy protocols, 240 patients in non-Total Therapy protocols, and 789 non-protocol patients, all of whom had baseline positron emission tomography scans to document extramedullary disease at diagnosis and its subsequent development at the time of disease progression or relapse. RESULTS: The most common sites for extramedullary disease at diagnosis were skin and soft tissue whereas liver involvement was the striking feature in extramedullary disease at disease relapse or progression. Regardless of therapy, extramedullary disease was associated with shorter progression-free and overall survival, as well as the presence of anemia, thrombocytopenia, elevated serum lactate dehydrogenase, cytogenetic abnormalities, and high-risk features in 70-and 80-gene risk models in univariate analysis. Multivariate analysis with logistic regression revealed that this disease feature was more prevalent in patients with an elevated centrosome index, as determined by gene expression profiling, as well as in myeloma molecular subtypes that are more prone to relapse. These include the MF subtype (also called the "MAF" subtype, associated with over-expression of the MAF gene seen with chromosome translocation 14;16 or 14;20) and the PR subtype (also called the "Proliferation" subtype, associated with overexpression of pro-proliferative genes). CONCLUSIONS: These data show that extramedullary disease is more prevalent in genomically defined high-risk multiple myeloma and is associated with shorter progression-free survival and overall survival, even in the era of novel agents. All clinical trials included in the analyses were registered with www.clinicaltrials.gov (NCT00083551, NCT00083876, NCT00081939, NCT00572169, NCT00644228,NCT00002548,NCT00734877).
BACKGROUND: Extramedullary disease is an uncommon manifestation in multiple myeloma and can either accompany newly diagnosed disease or develop with disease progression or relapse. We evaluated the impact of this disease feature on patients' outcome in the context of novel agents. DESIGN AND METHODS: We analyzed clinical and biological features of extramedullary disease in 936 patients with multiple myeloma enrolled in Total Therapy protocols, 240 patients in non-Total Therapy protocols, and 789 non-protocol patients, all of whom had baseline positron emission tomography scans to document extramedullary disease at diagnosis and its subsequent development at the time of disease progression or relapse. RESULTS: The most common sites for extramedullary disease at diagnosis were skin and soft tissue whereas liver involvement was the striking feature in extramedullary disease at disease relapse or progression. Regardless of therapy, extramedullary disease was associated with shorter progression-free and overall survival, as well as the presence of anemia, thrombocytopenia, elevated serum lactate dehydrogenase, cytogenetic abnormalities, and high-risk features in 70-and 80-gene risk models in univariate analysis. Multivariate analysis with logistic regression revealed that this disease feature was more prevalent in patients with an elevated centrosome index, as determined by gene expression profiling, as well as in myeloma molecular subtypes that are more prone to relapse. These include the MF subtype (also called the "MAF" subtype, associated with over-expression of the MAF gene seen with chromosome translocation 14;16 or 14;20) and the PR subtype (also called the "Proliferation" subtype, associated with overexpression of pro-proliferative genes). CONCLUSIONS: These data show that extramedullary disease is more prevalent in genomically defined high-risk multiple myeloma and is associated with shorter progression-free survival and overall survival, even in the era of novel agents. All clinical trials included in the analyses were registered with www.clinicaltrials.gov (NCT00083551, NCT00083876, NCT00081939, NCT00572169, NCT00644228,NCT00002548,NCT00734877).
Authors: Fenghuang Zhan; Johanna Hardin; Bob Kordsmeier; Klaus Bumm; Mingzhong Zheng; Erming Tian; Ralph Sanderson; Yang Yang; Carla Wilson; Maurizio Zangari; Elias Anaissie; Christopher Morris; Firas Muwalla; Frits van Rhee; Athanasios Fassas; John Crowley; Guido Tricot; Bart Barlogie; John Shaughnessy Journal: Blood Date: 2002-03-01 Impact factor: 22.113
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Authors: A Kühnemund; P Liebisch; K Bauchmüller; A zur Hausen; H Veelken; R Wäsch; M Engelhardt Journal: J Cancer Res Clin Oncol Date: 2008-09-18 Impact factor: 4.553
Authors: Robert A Kyle; Terry M Therneau; S Vincent Rajkumar; Janice R Offord; Dirk R Larson; Matthew F Plevak; L Joseph Melton Journal: N Engl J Med Date: 2002-02-21 Impact factor: 91.245
Authors: Gordon W Dewald; Terry Therneau; Dirk Larson; You Kyoung Lee; Stephanie Fink; Stephanie Smoley; Sarah Paternoster; Adewale Adeyinka; Rhett Ketterling; Daniel L Van Dyke; Rafael Fonseca; Robert Kyle Journal: Blood Date: 2005-07-19 Impact factor: 22.113
Authors: Shaji K Kumar; S Vincent Rajkumar; Angela Dispenzieri; Martha Q Lacy; Suzanne R Hayman; Francis K Buadi; Steven R Zeldenrust; David Dingli; Stephen J Russell; John A Lust; Philip R Greipp; Robert A Kyle; Morie A Gertz Journal: Blood Date: 2007-11-01 Impact factor: 22.113
Authors: Mathew Weinstock; Yosra Aljawai; Elizabeth A Morgan; Jacob Laubach; Muriel Gannon; Aldo M Roccaro; Cindy Varga; Constantine S Mitsiades; Claudia Paba-Prada; Robert Schlossman; Nikhil Munshi; Kenneth C Anderson; Paul P Richardson; Edie Weller; Irene M Ghobrial Journal: Br J Haematol Date: 2015-04-01 Impact factor: 6.998
Authors: L Kumar; R Gogi; A K Patel; A Mookerjee; R K Sahoo; P S Malik; A Sharma; S Thulkar; R Kumar; A Biswas; O D Sharma; R Gupta Journal: Bone Marrow Transplant Date: 2017-08-14 Impact factor: 5.483