Literature DB >> 12531801

Continuous absence of metaphase-defined cytogenetic abnormalities, especially of chromosome 13 and hypodiploidy, ensures long-term survival in multiple myeloma treated with Total Therapy I: interpretation in the context of global gene expression.

John Shaughnessy1, Joth Jacobson, Jeff Sawyer, Jason McCoy, Athanasios Fassas, Fenghuang Zhan, Klaus Bumm, Joshua Epstein, Elias Anaissie, Sundar Jagannath, David Vesole, David Siegel, Raman Desikan, Nikhil Munshi, Ashraf Badros, Erming Tian, Maurizio Zangari, Guido Tricot, John Crowley, Bart Barlogie.   

Abstract

Metaphase cytogenetic abnormalities (CAs), especially of chromosome 13 (CA 13), confer a grave prognosis in multiple myeloma even with tandem autotransplantations as applied in Total Therapy I, which enrolled 231 patients between 1989 and 1994. With a median follow-up of almost 9 years, the prognostic implications of all individual CAs, detected prior to treatment and at relapse, were investigated. Among all CAs and standard prognostic factors examined prior to therapy, only hypodiploidy and CA 13 (hypo-13 CA), alone or in combination, were associated with shortest event-free survival and overall survival (OS). The shortest postrelapse OS was observed with hypo-13 CA, which was newly detected in 18 of all 28 patients presenting with this abnormality at relapse. Superior prognosis was associated with the absence of any CA at both diagnosis and relapse (10-year OS, 40%). The lack of independent prognostic implications of other CAs points to a uniquely aggressive behavior of hypo-13 CA (present in 16% of patients at diagnosis). With the use of microarray data in 146 patients enrolled in Total Therapy II, overexpression of cell cycle genes distinguished CA from no CA, especially in cases of del(13) detected by interphase fluorescence in situ hybridization (FISH). FISH 13, resulting in a haploinsufficiency of RB1 and other genes mapping to chromosome 13, as well as activation of IGF1R, appears to have an amplifying effect on cell cycle gene expression, thus providing a molecular explanation for the dire outcome of patients with CA 13 compared with those with other CAs.

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Year:  2003        PMID: 12531801     DOI: 10.1182/blood-2002-09-2873

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


  22 in total

Review 1.  The use of molecular-based risk stratification and pharmacogenomics for outcome prediction and personalized therapeutic management of multiple myeloma.

Authors:  Sarah K Johnson; Christoph J Heuck; Anthony P Albino; Pingping Qu; Qing Zhang; Bart Barlogie; John D Shaughnessy
Journal:  Int J Hematol       Date:  2011-10-15       Impact factor: 2.490

2.  NY-ESO-1 is highly expressed in poor-prognosis multiple myeloma and induces spontaneous humoral and cellular immune responses.

Authors:  Frits van Rhee; Susann M Szmania; Fenghuang Zhan; Sushil K Gupta; Mindy Pomtree; Pei Lin; Ramesh B Batchu; Amberly Moreno; Guilio Spagnoli; John Shaughnessy; Guido Tricot
Journal:  Blood       Date:  2005-01-25       Impact factor: 22.113

3.  The molecular classification of multiple myeloma.

Authors:  Fenghuang Zhan; Yongsheng Huang; Simona Colla; James P Stewart; Ichiro Hanamura; Sushil Gupta; Joshua Epstein; Shmuel Yaccoby; Jeffrey Sawyer; Bart Burington; Elias Anaissie; Klaus Hollmig; Mauricio Pineda-Roman; Guido Tricot; Frits van Rhee; Ronald Walker; Maurizio Zangari; John Crowley; Bart Barlogie; John D Shaughnessy
Journal:  Blood       Date:  2006-05-25       Impact factor: 22.113

Review 4.  Microarray-based understanding of normal and malignant plasma cells.

Authors:  John De Vos; Dirk Hose; Thierry Rème; Karin Tarte; Jérôme Moreaux; Karéne Mahtouk; Michel Jourdan; Hartmut Goldschmidt; Jean-François Rossi; Friedrich W Cremer; Bernard Klein
Journal:  Immunol Rev       Date:  2006-04       Impact factor: 12.988

5.  Suppression of abnormal karyotype predicts superior survival in multiple myeloma.

Authors:  V Arzoumanian; A Hoering; J Sawyer; F van Rhee; C Bailey; J Gurley; J D Shaughnessy; E Anaissie; J Crowley; B Barlogie
Journal:  Leukemia       Date:  2008-01-17       Impact factor: 11.528

6.  Gene-expression signature of benign monoclonal gammopathy evident in multiple myeloma is linked to good prognosis.

Authors:  Fenghuang Zhan; Bart Barlogie; Varant Arzoumanian; Yongsheng Huang; David R Williams; Klaus Hollmig; Mauricio Pineda-Roman; Guido Tricot; Frits van Rhee; Maurizio Zangari; Madhav Dhodapkar; John D Shaughnessy
Journal:  Blood       Date:  2006-10-05       Impact factor: 22.113

7.  Amplification of 1q21 and other abnormalities in multiple myeloma patients from a tertiary hospital in singapore.

Authors:  Alvin S T Lim; Sathish Krishnan; Tse Hui Lim; Karen See; Yit Jun Ng; Yu Min Tan; Natasha Choo; Lai Ching Lau; Sim Leng Tien; Jun Ma; Daryl Tan
Journal:  Indian J Hematol Blood Transfus       Date:  2013-09-04       Impact factor: 0.900

Review 8.  Global gene expression profiling in the study of multiple myeloma.

Authors:  John D Shaughnessy
Journal:  Int J Hematol       Date:  2003-04       Impact factor: 2.490

9.  An analysis of the clinical and biologic significance of TP53 loss and the identification of potential novel transcriptional targets of TP53 in multiple myeloma.

Authors:  Wei Xiong; Xiaosong Wu; Sarah Starnes; Sarah K Johnson; Jeff Haessler; Siqing Wang; Lijuan Chen; Bart Barlogie; John D Shaughnessy; Fenghuang Zhan
Journal:  Blood       Date:  2008-03-12       Impact factor: 22.113

10.  Neurobeachin (NBEA) is a target of recurrent interstitial deletions at 13q13 in patients with MGUS and multiple myeloma.

Authors:  Julie O'Neal; Feng Gao; Anjum Hassan; Ryan Monahan; Samantha Barrios; Manfred W Kilimann; Ian Lee; Wee J Chng; Ravi Vij; Michael H Tomasson
Journal:  Exp Hematol       Date:  2009-02       Impact factor: 3.084

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