Literature DB >> 24671365

Chromosome 13 deletion and hypodiploidy on conventional cytogenetics are robust prognostic factors in Korean multiple myeloma patients: web-based multicenter registry study.

Sukjoong Oh1, Dong Hoe Koo, Min-Jung Kwon, Kihyun Kim, Cheolwon Suh, Chang-Ki Min, Sung-Soo Yoon, Ho-Jin Shin, Deog-Yeon Jo, Jae-Yong Kwak, Jin Seok Kim, Sang Kyun Sohn, Young-Don Joo, Hyeon-Seok Eom, Sung-Hyun Kim, Yang Soo Kim, ChulSoo Kim, Yeung-Chul Mun, Hawk Kim, Dong Soon Lee, Jae Hoon Lee.   

Abstract

This study was designed to evaluate the prevalence of chromosomal abnormalities and to identify the specific abnormalities associated with poor prognosis. A total of 2,474 patients whose conventional cytogenetics were available at the time of diagnosis were evaluated via a nationwide registry. Normal metaphase cytogenetics was observed in 2,012 patients (81.3%). Among the 462 patients with chromosomal abnormalities, there were 161 (34.8%) patients with hyperdiploidy, 197 (42.6%) with pseudodiploidy, 79 (17.1%) with hypodiploidy, and 25 (5.5%) with near-tetraploidy. Deletion 13 (Δ13) in metaphase was observed in 167 patients (6.8%). Fluorescent in situ hybridization (FISH) was carried out in 967 patients (39.1%), and 66 (13.7%) out of 482 and 63 (10.3%) out of 611 patients were positive for t(4;14) and del(17p), respectively. With a median follow-up duration of 25.1 months, the median overall survival (OS) was 51.2 months (95% confidence interval, 46.5-55.9 months). In univariate analysis, the following four chromosomal abnormalities were significantly associated with a poor survival outcome: Δ13, hypodiploidy, del(13q) in FISH, and del(17p) in FISH. In the subsequent multivariate analysis, in which del(13q) and del(17p) in FISH were excluded due to a relatively low number of patients, Δ13 and hypodiploid status were independently associated with a poor survival outcome after adjusting for important clinical factors, including age, sex, performance, beta2-microglobulin, albumin, and lactate dehydrogenase (LDH). Using conventional metaphase cytogenetics, we confirmed that both Δ13 and hypodiploid status were robust poor prognostic factors. The metaphase karyotyping should remain the primary cytogenetic tool and an essential investigation for risk stratification in newly diagnosed multiple myeloma patients.

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Year:  2014        PMID: 24671365     DOI: 10.1007/s00277-014-2057-5

Source DB:  PubMed          Journal:  Ann Hematol        ISSN: 0939-5555            Impact factor:   3.673


  11 in total

Review 1.  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

2.  MMSA-1 expression pattern in multiple myeloma and its clinical significance.

Authors:  Shan Meng; Chenyang Lu; Wanggang Zhang; Wenjun Shen; Yongchang Wei; Dan Su; Fuling Zhou
Journal:  Clin Exp Med       Date:  2015-10-22       Impact factor: 3.984

3.  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

4.  Identification and expression of MMSA-8, and its clinical significance in multiple myeloma.

Authors:  Rui He; Nan Yang; Pengyu Zhang; Jie Liu; Junhui Li; Fulin Zhou; Wanggang Zhang
Journal:  Oncol Rep       Date:  2017-04-28       Impact factor: 3.906

Review 5.  Recent advances in multiple myeloma: a Korean perspective.

Authors:  Junshik Hong; Jae Hoon Lee
Journal:  Korean J Intern Med       Date:  2016-09-01       Impact factor: 2.884

6.  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

7.  [Epidemiological analysis of cytogenetic abnormalities in patients with newly-diagnosed multiple myeloma: a multi-center retrospective study].

Authors:  R F Yuan; Y J Dong; C R Li; W R Huang; L M Zhang; Q Zhu; L Xu; Y J Xu; Q Xu; G X Gao; F Y Jin
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2020-01-14

8.  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

9.  Abnormalities in Chromosomes 1q and 13 Independently Correlate With Factors of Poor Prognosis in Multiple Myeloma.

Authors:  Miyoung Kim; Young Su Ju; Eun Jin Lee; Hee Jung Kang; Han Sung Kim; Hyoun Chan Cho; Hyo Jung Kim; Jung Ah Kim; Dong Soon Lee; Young Kyung Lee
Journal:  Ann Lab Med       Date:  2016-11       Impact factor: 3.464

10.  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

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