Literature DB >> 17947464

Hyperdiploidy is a common finding in monoclonal gammopathy of undetermined significance and monosomy 13 is restricted to these hyperdiploid patients.

Maud Brousseau1, Xavier Leleu, Jérémie Gerard, Thomas Gastinne, Alban Godon, Franck Genevieve, Mamoun Dib, Jean-Luc Lai, Thierry Facon, Marc Zandecki.   

Abstract

PURPOSE: Two pathways, hyperdiploid and nonhyperdiploid, are proposed for progression to plasma cell neoplasia. Implication of monosomy 13 (Delta13) is unclear in monoclonal gammopathy of undetermined significance (MGUS), and data on DNA content of plasma cells [DNA index (DI)] are rare. EXPERIMENTAL
DESIGN: We ascertained DI in 169 multiple myeloma (MM) and 96 MGUS patients. Interphase fluorescence in situ hybridization (FISH) coupled to cytoplasmic staining of specific Ig (cIg-FISH) was done to look for trisomies and to ascertain Delta13.
RESULTS: Hyperdiploidy and hypodiploidy were found in 54% and 11.5% of MGUS patients and in 59.5% and 25% of MM patients, respectively. In MGUS patients tested using probes for odd chromosomes, cIg-FISH showed association between trisomies for chromosomes 3, 7, 9, 11, or 15 and hyperdiploidy. Delta13 was found in 45.3% and 24.6% of MM and MGUS patients, respectively. Most Delta13 cases observed in MGUS were found within hyperdiploid clones, 38% versus 11% in hypodiploid cases, in sharp contrast with the occurrence of Delta13 in MM patients, 31.9% and 76.3%, respectively. That peculiar distribution of Delta13 according to DI persisted with other thresholds used to ascertain hyperdiploidy, such as DI >or= 1.05. A strong relationship between IgA peak and hypodiploidy (P = 0.007) was only observed in MM, whereas lambda light chain was significantly associated with hypodiploidy in MGUS (P = 0.001) and MM (P = 0.05). Hyperdiploidy shows similar pattern in MGUS and MM.
CONCLUSION: This fits well a hyperdiploid pathway leading to MM after a preceding MGUS stage. Yet-to-be-determined secondary event(s) needs to occur for the transition to MM, unrelated to changes in chromosome number or to loss of chromosome 13. In contrast, the "nonhyperdiploid" pathway needs to be clarified further because hypodiploidy is less common in MGUS than in MM and Delta13 is rare in hypodiploid MGUS patients compared with hypodiploid MM patients.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17947464     DOI: 10.1158/1078-0432.CCR-07-0031

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  13 in total

1.  Timing of acquisition of deletion 13 in plasma cell dyscrasias is dependent on genetic context.

Authors:  Laura Chiecchio; Gian Paolo Dagrada; Ashraf H Ibrahim; Elizabet Dachs Cabanas; Rebecca K M Protheroe; David M Stockley; Kim H Orchard; Nicholas C P Cross; Christine J Harrison; Fiona M Ross
Journal:  Haematologica       Date:  2009-12       Impact factor: 9.941

Review 2.  Staging and prognostication of multiple myeloma.

Authors:  Rafael Fonseca; Jorge Monge; Meletios A Dimopoulos
Journal:  Expert Rev Hematol       Date:  2014-02       Impact factor: 2.929

Review 3.  Defining genomic events involved in the evolutionary trajectories of myeloma and its precursor conditions.

Authors:  Monika Chojnacka; Benjamin Diamond; Ola Landgren; Francesco Maura
Journal:  Semin Oncol       Date:  2022-01-31       Impact factor: 5.385

4.  Uncovering the biology of multiple myeloma among African Americans: a comprehensive genomics approach.

Authors:  Angela Baker; Esteban Braggio; Susanna Jacobus; Sungwon Jung; Dirk Larson; Terry Therneau; Angela Dispenzieri; Scott A Van Wier; Gregory Ahmann; Joan Levy; Louise Perkins; Seungchan Kim; Kimberly Henderson; David Vesole; S Vincent Rajkumar; Diane F Jelinek; John Carpten; Rafael Fonseca
Journal:  Blood       Date:  2013-02-19       Impact factor: 22.113

Review 5.  Targeting Intrinsic and Extrinsic Vulnerabilities for the Treatment of Multiple Myeloma.

Authors:  Nagaraju Anreddy; Lori A Hazlehurst
Journal:  J Cell Biochem       Date:  2016-06-21       Impact factor: 4.429

Review 6.  Risk Stratification in Multiple Myeloma.

Authors:  Melissa Gaik-Ming Ooi; Sanjay de Mel; Wee Joo Chng
Journal:  Curr Hematol Malig Rep       Date:  2016-04       Impact factor: 3.952

Review 7.  Moving From Cancer Burden to Cancer Genomics for Smoldering Myeloma: A Review.

Authors:  Francesco Maura; Niccolò Bolli; Even H Rustad; Malin Hultcrantz; Nikhil Munshi; Ola Landgren
Journal:  JAMA Oncol       Date:  2020-03-01       Impact factor: 31.777

Review 8.  International Myeloma Working Group molecular classification of multiple myeloma: spotlight review.

Authors:  R Fonseca; P L Bergsagel; J Drach; J Shaughnessy; N Gutierrez; A K Stewart; G Morgan; B Van Ness; M Chesi; S Minvielle; A Neri; B Barlogie; W M Kuehl; P Liebisch; F Davies; S Chen-Kiang; B G M Durie; R Carrasco; Orhan Sezer; Tony Reiman; Linda Pilarski; H Avet-Loiseau
Journal:  Leukemia       Date:  2009-10-01       Impact factor: 11.528

9.  Prognostic impact of hyperdiploidy in multiple myeloma patients with high-risk cytogenetics: a pilot study in China.

Authors:  Jiangang Mei; Yongping Zhai; Hanqing Li; Feng Li; Xiaogang Zhou; Ping Song; Qian Zhao; Yaping Yu; Zhiming An; Liping Wang
Journal:  J Cancer Res Clin Oncol       Date:  2018-08-24       Impact factor: 4.553

Review 10.  Immunological dysregulation in multiple myeloma microenvironment.

Authors:  Alessandra Romano; Concetta Conticello; Maide Cavalli; Calogero Vetro; Alessia La Fauci; Nunziatina Laura Parrinello; Francesco Di Raimondo
Journal:  Biomed Res Int       Date:  2014-06-11       Impact factor: 3.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.