Literature DB >> 11754416

Methods for estimation of bone marrow plasma cell involvement in myeloma: predictive value for response and survival in patients undergoing autologous stem cell transplantation.

S V Rajkumar1, R Fonseca, A Dispenzieri, M Q Lacy, J A Lust, T E Witzig, T M Therneau, R A Kyle, P R Greipp, M A Gertz.   

Abstract

In myeloma, the bone marrow plasma cell percentage (BMPC%) is usually estimated independently on the aspirate, core biopsy, and plasma cell labeling index (PCLI) samples. This study was done to determine which of the 3 individual estimates correlates best with complete response (CR) and survival. Seventy-five consecutive patients who underwent SCT for relapsed myeloma were studied. The median BMPC% on the marrow aspirate, core biopsy, and PCLI studies were 20, 25, and 20, respectively. There was a significant correlation between the three methods, rho > 0.65, P < 0.001. However, in 8% of patients the BMPC% was different by an absolute value of 50% between methods. No individual method was predictive for CR. However, the highest estimate of the BMPC% among the three methods was a significant predictor of CR (P = 0.02). Survival following SCT was longer among patients with a low BMPC% (< or =60) by the PCLI method compared to those with higher values, median survival 23 versus 7 months, respectively, P = 0.02. PFS was also different, with survival times of 11 and 5 months, respectively, P = 0.003. Similar results were obtained when the highest estimate of the BMPC% was used in survival analysis (P = 0.02 and 0.004, respectively). Statistical significance was lower when the BMPC% on the aspirate or biopsy used in survival analysis. Compared to any individual method of estimating BMPC%, the highest estimate of the BMPC% is the best predictor of CR in myeloma. It is also prognostic for poor survival and PFS following SCT for myeloma. We recommend that all three methods of estimating BMPC% be routinely performed and that the highest value be used for prognostic purposes. Copyright 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11754416     DOI: 10.1002/ajh.10003

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  14 in total

1.  Assessment of bone marrow plasma cell infiltrates in multiple myeloma: the added value of CD138 immunohistochemistry.

Authors:  Samer Z Al-Quran; Lijun Yang; James M Magill; Raul C Braylan; Vonda K Douglas-Nikitin
Journal:  Hum Pathol       Date:  2007-08-21       Impact factor: 3.466

2.  Retrospective matched-pairs analysis of bortezomib plus dexamethasone versus bortezomib monotherapy in relapsed multiple myeloma.

Authors:  Meletios A Dimopoulos; Robert Z Orlowski; Thierry Facon; Pieter Sonneveld; Kenneth C Anderson; Meral Beksac; Lotfi Benboubker; Huw Roddie; Anna Potamianou; Catherine Couturier; Huaibao Feng; Ozlem Ataman; Helgi van de Velde; Paul G Richardson
Journal:  Haematologica       Date:  2014-09-26       Impact factor: 9.941

3.  The value of FDG PET/CT in the initial staging and bone marrow involvement of patients with multiple myeloma.

Authors:  Sait Sager; Nurhan Ergül; Hediye Ciftci; Güven Cetin; Sebnem Izmir Güner; Teyfik Fikret Cermik
Journal:  Skeletal Radiol       Date:  2011-01-13       Impact factor: 2.199

4.  Pleural effusion-based nomogram to predict outcomes in unselected patients with multiple myeloma: a large single center experience.

Authors:  Zi-Liang Hou; Yu Kang; Guang-Zhong Yang; Zhen Wang; Feng Wang; Yan-Xia Yu; Wen-Ming Chen; Huan-Zhong Shi
Journal:  Ann Hematol       Date:  2021-03-14       Impact factor: 3.673

Review 5.  Clinical Relevance of Multicolour Flow Cytometry in Plasma Cell Disorders.

Authors:  Gaurav Chatterjee; Sumeet Gujral; Papagudi G Subramanian; Prashant R Tembhare
Journal:  Indian J Hematol Blood Transfus       Date:  2017-04-26       Impact factor: 0.900

6.  Elevated pre-transplant C-reactive protein identifies a high-risk subgroup in multiple myeloma patients undergoing delayed autologous stem cell transplantation.

Authors:  R Chakraborty; E Muchtar; S K Kumar; F K Buadi; D Dingli; A Dispenzieri; S R Hayman; W J Hogan; P Kapoor; M Q Lacy; N Leung; M A Gertz
Journal:  Bone Marrow Transplant       Date:  2017-11-13       Impact factor: 5.483

7.  Molecular and cellular effects of multi-targeted cyclin-dependent kinase inhibition in myeloma: biological and clinical implications.

Authors:  Douglas W McMillin; Jake Delmore; Joseph Negri; Leutz Buon; Hannah M Jacobs; Jacob Laubach; Jana Jakubikova; Melissa Ooi; Patrick Hayden; Robert Schlossman; Nikhil C Munshi; Christoph Lengauer; Paul G Richardson; Kenneth C Anderson; Constantine S Mitsiades
Journal:  Br J Haematol       Date:  2011-01-11       Impact factor: 6.998

8.  Combined evaluation of bone marrow aspirate and biopsy is superior in the prognosis of multiple myeloma.

Authors:  Sanja Stifter; Emina Babarović; Toni Valković; Irena Seili-Bekafigo; Christophe Stemberger; Antica Nacinović; Ksenija Lucin; Nives Jonjić
Journal:  Diagn Pathol       Date:  2010-05-18       Impact factor: 2.644

9.  Multiparameter flow cytometry quantification of bone marrow plasma cells at diagnosis provides more prognostic information than morphological assessment in myeloma patients.

Authors:  Bruno Paiva; Maria-Belén Vidriales; Jose J Pérez; Gema Mateo; Maria Angeles Montalbán; Maria Victoria Mateos; Joan Bladé; Juan José Lahuerta; Alberto Orfao; Jesús F San Miguel
Journal:  Haematologica       Date:  2009-11       Impact factor: 9.941

10.  Coexistent multiple myeloma or increased bone marrow plasma cells define equally high-risk populations in patients with immunoglobulin light chain amyloidosis.

Authors:  Taxiarchis V Kourelis; Shaji K Kumar; Morie A Gertz; Martha Q Lacy; Francis K Buadi; Suzanne R Hayman; Steven Zeldenrust; Nelson Leung; Robert A Kyle; Stephen Russell; David Dingli; John A Lust; Yi Lin; Prashant Kapoor; S Vincent Rajkumar; Arleigh McCurdy; Angela Dispenzieri
Journal:  J Clin Oncol       Date:  2013-10-21       Impact factor: 44.544

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