Literature DB >> 15015970

The t(4;14) is associated with poor prognosis in myeloma patients undergoing autologous stem cell transplant.

Hong Chang1, Stephen Sloan, Dan Li, Lihua Zhuang, Qi-Long Yi, Christine I Chen, Donna Reece, Kathy Chun, A Keith Stewart.   

Abstract

The frequency and prognostic relevance of translocations t(11;14) and t(4;14), the most common translocations involving the immunoglobulin heavy chain (IgH) gene in multiple myeloma (MM), were investigated in 128 patients treated with intensive chemotherapy and autologous stem cell transplant. Myeloma cells were identified by cytoplasmic light chain immunofluorescence combined with fluorescence in situ hybridization (cIg-FISH) for detection of translocations t(11;14) and t(4;14). Overall, t(11;14) was detected in 16 of 125 (12.8%) and t(4;14) in 15 of 120 (12.5%) patients. Progression-free and overall survivals were similar for patients with or without t(11;14). However, patients with t(4;14) had significantly shorter progression-free (median 9.9 months vs. 25.8 months; P = 0.0003) and overall survivals (median 18.3 months vs. 48.1 months; P < 0.0001) than patients without t(4;14). The t(4;14) was associated with IgA and t(11;14) with light chain MM. There was no association between the t(11;14) or t(4;14) and other biological parameters including age, gender, haemoglobin, beta-2 microglobulin, C-reactive protein, calcium, creatinine, albumin, or the percentage of bone marrow plasma cells. Multivariate analysis identified t(4;14) as the only adverse prognostic factor for both progression-free survival and overall survival. Our results indicate that the t(4;14) detected by cIg-FISH is associated with a poor prognosis in MM patients receiving intensive chemotherapy and autotransplant.

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Year:  2004        PMID: 15015970     DOI: 10.1111/j.1365-2141.2004.04867.x

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  42 in total

1.  Diagnostic evaluation of t(4;14) in multiple myeloma and evidence for clonal evolution.

Authors:  A K Stewart; H Chang; S Trudel; K C Anderson; P Richardson; M Alsina; D Reece; S Young; A Sable-Hunt; Z Li; J Keats; S Van Wier; G Ahmann; T Price-Troska; K Giusti; P L Bergsagel; M Chesi; R Fonseca
Journal:  Leukemia       Date:  2007-06-14       Impact factor: 11.528

Review 2.  Genomics in multiple myeloma.

Authors:  Nikhil C Munshi; Hervé Avet-Loiseau
Journal:  Clin Cancer Res       Date:  2011-03-15       Impact factor: 12.531

3.  Adverse impact of high donor CD3+ cell dose on outcome following tandem auto-NMA allogeneic transplantation for high-risk myeloma.

Authors:  A P Nair; P Walker; A Kalff; K Bergin; J Hocking; S Avery; D J Curtis; S Patil; T Das; D Klarica; S Morgan; J Muirhead; M Gorniak; J Reynolds; A Spencer
Journal:  Bone Marrow Transplant       Date:  2017-03-20       Impact factor: 5.483

Review 4.  Controversies in multiple myeloma: to transplant or not?

Authors:  Isabel Ruth Preeshagul; Koen Van Besien; Tomer M Mark
Journal:  Curr Hematol Malig Rep       Date:  2014-12       Impact factor: 3.952

5.  Fluorescence in situ hybridization analysis of immunoglobulin heavy chain translocations in plasma cell myeloma using intact paraffin sections and simultaneous CD138 immunofluorescence.

Authors:  James R Cook; Marybeth Hartke; James Pettay; Raymond R Tubbs
Journal:  J Mol Diagn       Date:  2006-09       Impact factor: 5.568

6.  Twist-1 is upregulated by NSD2 and contributes to tumour dissemination and an epithelial-mesenchymal transition-like gene expression signature in t(4;14)-positive multiple myeloma.

Authors:  Chee Man Cheong; Krzysztof M Mrozik; Duncan R Hewett; Elyse Bell; Vasilios Panagopoulos; Jacqueline E Noll; Jonathan D Licht; Stan Gronthos; Andrew C W Zannettino; Kate Vandyke
Journal:  Cancer Lett       Date:  2020-01-31       Impact factor: 8.679

Review 7.  Risk Stratification in Multiple Myeloma in Indian Settings.

Authors:  Rajan Kapoor; Rajiv Kumar; A P Dubey
Journal:  Indian J Hematol Blood Transfus       Date:  2019-12-14       Impact factor: 0.900

Review 8.  Genetics of multiple myeloma: another heterogeneity level?

Authors:  Jill Corre; Nikhil Munshi; Hervé Avet-Loiseau
Journal:  Blood       Date:  2015-01-27       Impact factor: 22.113

9.  The MMSET protein is a histone methyltransferase with characteristics of a transcriptional corepressor.

Authors:  Jotin Marango; Manabu Shimoyama; Hitomi Nishio; Julia A Meyer; Dong-Joon Min; Andres Sirulnik; Yolanda Martinez-Martinez; Marta Chesi; P Leif Bergsagel; Ming-Ming Zhou; Samuel Waxman; Boris A Leibovitch; Martin J Walsh; Jonathan D Licht
Journal:  Blood       Date:  2007-12-21       Impact factor: 22.113

Review 10.  Applying mass spectrometry based proteomic technology to advance the understanding of multiple myeloma.

Authors:  Johann Micallef; Moyez Dharsee; Jian Chen; Suzanne Ackloo; Ken Evans; Luqui Qiu; Hong Chang
Journal:  J Hematol Oncol       Date:  2010-04-07       Impact factor: 17.388

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