Literature DB >> 25652456

The impact of clone size on the prognostic value of chromosome aberrations by fluorescence in situ hybridization in multiple myeloma.

Gang An1, Zengjun Li2, Yu-Tzu Tai3, Chirag Acharya3, Qian Li4, Xiaoqi Qin2, Shuhua Yi2, Yan Xu2, Xiaoyan Feng1, Chengwen Li2, Jiawei Zhao2, Lihui Shi2, Meirong Zang2, Shuhui Deng2, Weiwei Sui2, Mu Hao2, Dehui Zou2, Yaozhong Zhao2, Junyuan Qi2, Tao Cheng2, Kun Ru2, Jianxiang Wang2, Kenneth C Anderson5, Lugui Qiu6.   

Abstract

PURPOSE: Accumulating evidence indicates that intratumor heterogeneity is prevalent in multiple myeloma and that a collection of multiple, genetically distinct subclones are present within the myeloma cell population. It is not clear whether the size of clonal myeloma populations harboring unique cytogenetic abnormalities carry any additional prognostic value. EXPERIMENTAL
DESIGN: We analyzed the prognostic impact of cytogenetic aberrations by fluorescence in situ hybridization at different cutoff values in a cohort of 333 patients with newly diagnosed myeloma and 92 patients with relapsed myeloma.
RESULTS: We found that nearly all IgH-related arrangements were observed in a large majority of the purified plasma cells; however, 13q deletion, 17p deletion, and 1q21 amplification appeared in different percentages within the malignant plasma cell population. Based on the size of subclones carrying these cytogenetic aberrations, the patients were divided into four groups: 0%-10%, 10.5%-20%, 20.5%-50%, and >50%. Receiver-operating characteristics analysis was applied to determine the optimal cutoff value with the greatest differential survival and showed that the most powerful clone sizes were 10% for 13q deletion, 50% for 17p deletion, and 20% for 1q21 gains, which provided the best possible cutoffs for predicting poor outcomes.
CONCLUSIONS: Our study indicated that the impact of clone size on prognostic value varies between specific genetic abnormalities. Prognostic value was observed for even a subgroup of plasma cells harboring the cytogenetic aberration of 13q deletion and 1q21 gains; however, 17p deletion displayed the most powerful cutoff for predicting survival only if the predominant clones harbored the abnormality. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 25652456     DOI: 10.1158/1078-0432.CCR-14-2576

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


  38 in total

1.  The level of deletion 17p and bi-allelic inactivation of TP53 has a significant impact on clinical outcome in multiple myeloma.

Authors:  Sharmilan Thanendrarajan; Erming Tian; Pingping Qu; Pankaj Mathur; Carolina Schinke; Frits van Rhee; Maurizio Zangari; Leo Rasche; Niels Weinhold; Daisy Alapat; William Bellamy; Cody Ashby; Sandra Mattox; Joshua Epstein; Shmuel Yaccoby; Bart Barlogie; Antje Hoering; Michael Bauer; Brian A Walker; Faith E Davies; Gareth J Morgan
Journal:  Haematologica       Date:  2017-05-26       Impact factor: 9.941

2.  Cytogenetic intraclonal heterogeneity of plasma cell dyscrasia in AL amyloidosis as compared with multiple myeloma.

Authors:  Tilmann Bochtler; Maximilian Merz; Thomas Hielscher; Martin Granzow; Korbinian Hoffmann; Alwin Krämer; Marc-Steffen Raab; Jens Hillengass; Anja Seckinger; Christoph Kimmich; Tobias Dittrich; Carsten Müller-Tidow; Dirk Hose; Hartmut Goldschmidt; Ute Hegenbart; Anna Jauch; Stefan O Schönland
Journal:  Blood Adv       Date:  2018-10-23

Review 3.  Current Review on High-Risk Multiple Myeloma.

Authors:  Henry S H Chan; Christine I Chen; Donna E Reece
Journal:  Curr Hematol Malig Rep       Date:  2017-04       Impact factor: 3.952

4.  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

Review 5.  The effect of novel therapies in high-molecular-risk multiple myeloma.

Authors:  Guido Lancman; Douglas Tremblay; Kevin Barley; Bart Barlogie; Hearn Jay Cho; Sundar Jagannath; Deepu Madduri; Erin Moshier; Samir Parekh; Ajai Chari
Journal:  Clin Adv Hematol Oncol       Date:  2017-11

Review 6.  Toward personalized treatment in multiple myeloma based on molecular characteristics.

Authors:  Charlotte Pawlyn; Faith E Davies
Journal:  Blood       Date:  2018-12-26       Impact factor: 22.113

Review 7.  Evolutionary biology of high-risk multiple myeloma.

Authors:  Charlotte Pawlyn; Gareth J Morgan
Journal:  Nat Rev Cancer       Date:  2017-08-24       Impact factor: 60.716

8.  The impact of response kinetics for multiple myeloma in the era of novel agents.

Authors:  Yuting Yan; Xuehan Mao; Jiahui Liu; Huishou Fan; Chenxing Du; Zengjun Li; Shuhua Yi; Yan Xu; Rui Lv; Wei Liu; Shuhui Deng; Weiwei Sui; Qi Wang; Dehui Zou; Jianxiang Wang; Tao Cheng; Fenghuang Zhan; Yu-Tzu Tai; Chenglu Yuan; Xin Du; Lugui Qiu; Kenneth C Anderson; Gang An
Journal:  Blood Adv       Date:  2019-10-08

9.  The prognostic significance of 13q deletions of different sizes in patients with B-cell chronic lymphoproliferative disorders: a retrospective study.

Authors:  Shuhua Yi; Heng Li; Zengjun Li; Wenjie Xiong; Huimin Liu; Wei Liu; Rui Lv; Zhen Yu; Dehui Zou; Yan Xu; Gang An; Lugui Qiu
Journal:  Int J Hematol       Date:  2017-04-24       Impact factor: 2.490

10.  Hyperhaploidy is a novel high-risk cytogenetic subgroup in multiple myeloma.

Authors:  J R Sawyer; E Tian; J D Shaughnessy; J Epstein; C M Swanson; C Stangeby; C L Hale; L Parr; M Lynn; G Sammartino; J L Lukacs; C Stein; C Bailey; M Zangari; F E Davies; F Van Rhee; B Barlogie; G J Morgan
Journal:  Leukemia       Date:  2016-10-03       Impact factor: 11.528

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