Literature DB >> 24372944

Cytogenetic classification in Korean multiple myeloma patients: prognostic significance of hyperdiploidy with 47-50 chromosomes and the number of structural abnormalities.

Ji-Hun Lim1, Eul-Ju Seo, Chan-Jeoung Park, Seongsoo Jang, Hyun-Sook Chi, Cheolwon Suh, Hawk Kim, Sung-Ryul Kim.   

Abstract

Chromosomal abnormalities are important prognostic factors for patients diagnosed with multiple myeloma (MM). We retrospectively reviewed the clinical and laboratory data of 525 MM patients to assess the abnormalities frequently found by conventional cytogenetic analysis and to determine their relationship to prognosis and clinical parameters. Samples from 222 (42.3%) patients had abnormal karyotypes. Hyperdiploidy-1 (>50 chromosomes), hyperdiploidy-2 (47-50 chromosomes), pseudodiploidy (46 with abnormalities), and hypodiploidy (<46 chromosomes) were found in 55, 44, 42, and 81 patients, respectively. The median overall survival (OS) was significantly shorter in patients with hyperdiploidy-2 (20.9 months), pseudodiploidy (19.9 months), and hypodiploidy (18.3 months) compared with patients with normal karyotype (66 months) and hyperdiploidy-1 (55.4 months) (P < 0.001). Among patients with chromosomal abnormalities, those with 1q amplification had a shorter median OS (17 vs. 25.1 months, P = 0.018). Patients with a chromosome 13 deletion in the pseudodiploidy group also had a shorter OS. A karyotype with more than six structural abnormalities was found to have the most significant independent prognostic value by multivariate analysis. These data show that hyperdiploidy with 47-50 chromosomes should be recategorized as an unfavorable risk group, and the number of structural abnormalities needs to be considered as an important factor for prognosis. In conclusion, our findings imply that subclassification of chromosomal abnormalities by conventional cytogenetics could be applied to the prognostic assessment of MM.
© 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  1q amplification; complex chromosomal abnormality; cytogenetics; hyperdiploidy; multiple myeloma

Mesh:

Year:  2014        PMID: 24372944     DOI: 10.1111/ejh.12257

Source DB:  PubMed          Journal:  Eur J Haematol        ISSN: 0902-4441            Impact factor:   2.997


  9 in total

1.  Understanding the role of hyperdiploidy in myeloma prognosis: which trisomies really matter?

Authors:  Marie-Lorraine Chretien; Jill Corre; Valerie Lauwers-Cances; Florence Magrangeas; Alice Cleynen; Edwige Yon; Cyrille Hulin; Xavier Leleu; Frederique Orsini-Piocelle; Jean-Sebastien Blade; Claudine Sohn; Lionel Karlin; Xavier Delbrel; Benjamin Hebraud; Murielle Roussel; Gerald Marit; Laurent Garderet; Mohamad Mohty; Philippe Rodon; Laurent Voillat; Bruno Royer; Arnaud Jaccard; Karim Belhadj; Jean Fontan; Denis Caillot; Anne-Marie Stoppa; Michel Attal; Thierry Facon; Philippe Moreau; Stephane Minvielle; Hervé Avet-Loiseau
Journal:  Blood       Date:  2015-10-29       Impact factor: 22.113

2.  Additional-structural-chromosomal aberrations are associated with inferior clinical outcome in patients with hyperdiploid multiple myeloma: a single-institution experience.

Authors:  Adrian A Carballo-Zarate; L Jeffrey Medeiros; Lianghua Fang; Jatin J Shah; Donna M Weber; Sheeba K Thomas; Elisabet E Manasanch; Suyang Hao; Qi Shen; Robert Z Orlowski; Pei Lin; Xinyan Lu
Journal:  Mod Pathol       Date:  2017-03-10       Impact factor: 7.842

3.  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

4.  The prognostic impact of inflammatory factors in patients with multiple myeloma treated with thalidomide in Korea.

Authors:  Cheolsu Kim; Ho Sup Lee; Chang-Ki Min; Je Jung Lee; Kihyun Kim; Dok Hyun Yoon; Hyeon Seok Eom; Hyewon Lee; Won Sik Lee; Ho-Jin Shin; Ji Hyun Lee; Yong Park; Jae-Cheol Jo; Young Rok Do; Yeung-Chul Mun
Journal:  Korean J Intern Med       Date:  2015-08-28       Impact factor: 2.884

5.  Clinical Utility of a Diagnostic Approach to Detect Genetic Abnormalities in Multiple Myeloma: A Single Institution Experience.

Authors:  Hyun Ae Jung; Mi Ae Jang; Kihyun Kim; Sun Hee Kim
Journal:  Ann Lab Med       Date:  2018-05       Impact factor: 3.464

6.  A retrospective analysis of cytogenetic alterations in patients with newly diagnosed multiple myeloma: a single center study in Korea.

Authors:  Shuhua Li; Hyeon-Ho Lim; Kwang-Sook Woo; Sung-Hyun Kim; Jin-Yeong Han
Journal:  Blood Res       Date:  2016-06-23

7.  Chromothripsis in Treatment Resistance in Multiple Myeloma.

Authors:  Kyoung Joo Lee; Ki Hong Lee; Kyong-Ah Yoon; Ji Yeon Sohn; Eunyoung Lee; Hyewon Lee; Hyeon-Seok Eom; Sun-Young Kong
Journal:  Genomics Inform       Date:  2017-09-28

8.  Clinicopathological Characteristics of Hyperdiploidy with High-Risk Cytogenetics in Multiple Myeloma.

Authors:  Naery Yang; Yeung Chul Mun; Chu Myong Seong; Hee Jin Huh; Jungwon Huh
Journal:  Ann Lab Med       Date:  2018-03       Impact factor: 3.464

9.  Distinct predictive impact of FISH abnormality in proteasome inhibitors and immunomodulatory agents response: redefining high-risk multiple myeloma in Asian patients.

Authors:  Ja Min Byun; Dong-Yeop Shin; Junshik Hong; Inho Kim; Hyun Kyung Kim; Dong Soon Lee; Youngil Koh; Sung-Soo Yoon
Journal:  Cancer Med       Date:  2018-01-29       Impact factor: 4.452

  9 in total

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