Literature DB >> 24210217

Global real-time quantitative reverse transcription-polymerase chain reaction detecting proto-oncogenes associated with 14q32 chromosomal translocation as a valuable marker for predicting survival in multiple myeloma.

Atsushi Inagaki1, Emi Tajima, Miyuki Uranishi, Haruhito Totani, Yu Asao, Hiroka Ogura, Ayako Masaki, Tatsuya Yoshida, Fumiko Mori, Asahi Ito, Hiroki Yano, Masaki Ri, Satoshi Kayukawa, Takae Kataoka, Shigeru Kusumoto, Takashi Ishida, Yoshihito Hayami, Ichiro Hanamura, Hirokazu Komatsu, Hiroshi Inagaki, Yasufumi Matsuda, Ryuzo Ueda, Shinsuke Iida.   

Abstract

CCND1, FGFR3 and c-MAF mRNA expression of tumor samples from 123 multiple myeloma patients were analyzed by global RQ/RT-PCR. CCND1, FGFR3 and c-MAF were positive in 44 (36%), 28 (23%) and 16 (13%) of patients, respectively. In 7 patients, both FGFR3 and c-MAF were positive. The expression of c-MAF was independent unfavorable prognostic factors for overall survival (OS). Autologous stem cell transplantation improved progression-free survival of CCND1-positive patients. Bortezomib, thalidomide or lenalidomide extended OS of FGFR3 and/or c-MAF-positive patients. Thus, CCND1, FGFR3 and c-MAF mRNA expression can predict survival and is useful for planning stratified treatment strategies for myeloma patients.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  C-MAF; CCND1; FGFR3; FISH; Multiple myeloma; PCR; Survival

Mesh:

Substances:

Year:  2013        PMID: 24210217     DOI: 10.1016/j.leukres.2013.09.026

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  6 in total

1.  t(14;16)-positive multiple myeloma shows negativity for CD56 expression and unfavorable outcome even in the era of novel drugs.

Authors:  T Narita; A Inagaki; T Kobayashi; Y Kuroda; T Fukushima; M Nezu; S Fuchida; H Sakai; N Sekiguchi; I Sugiura; Y Maeda; H Takamatsu; N Tsukamoto; D Maruyama; Y Kubota; M Kojima; K Sunami; T Ono; M Ri; K Tobinai; S Iida
Journal:  Blood Cancer J       Date:  2015-02-27       Impact factor: 11.037

2.  Low expression of neural cell adhesion molecule, CD56, is associated with low efficacy of bortezomib plus dexamethasone therapy in multiple myeloma.

Authors:  Takashi Yoshida; Masaki Ri; Shiori Kinoshita; Tomoko Narita; Haruhito Totani; Reham Ashour; Asahi Ito; Shigeru Kusumoto; Takashi Ishida; Hirokazu Komatsu; Shinsuke Iida
Journal:  PLoS One       Date:  2018-05-08       Impact factor: 3.240

3.  Randomised phase II study to optimise melphalan, prednisolone, and bortezomib in untreated multiple myeloma (JCOG1105).

Authors:  Dai Maruyama; Shinsuke Iida; Gakuto Ogawa; Noriko Fukuhara; Sachiko Seo; Kana Miyazaki; Makoto Yoshimitsu; Junya Kuroda; Norifumi Tsukamoto; Hideki Tsujimura; Akira Hangaishi; Takahiro Yamauchi; Takahiko Utsumi; Ishikazu Mizuno; Yasushi Takamatsu; Yasuyuki Nagata; Koichiro Minauchi; Eiichi Ohtsuka; Ichiro Hanamura; Shinichiro Yoshida; Satoshi Yamasaki; Youko Suehiro; Yutaro Kamiyama; Kunihiro Tsukasaki; Hirokazu Nagai
Journal:  Br J Haematol       Date:  2020-06-24       Impact factor: 6.998

4.  Machine Learning Applicability for Classification of PAD/VCD Chemotherapy Response Using 53 Multiple Myeloma RNA Sequencing Profiles.

Authors:  Nicolas Borisov; Anna Sergeeva; Maria Suntsova; Mikhail Raevskiy; Nurshat Gaifullin; Larisa Mendeleeva; Alexander Gudkov; Maria Nareiko; Andrew Garazha; Victor Tkachev; Xinmin Li; Maxim Sorokin; Vadim Surin; Anton Buzdin
Journal:  Front Oncol       Date:  2021-04-15       Impact factor: 6.244

5.  The Prognostic Role of Cyclin D1 in Multiple Myeloma: A Systematic Review and Meta-Analysis.

Authors:  Yuwen Jiang; Chenlu Zhang; Ling Lu; Xinfeng Wang; Haiyan Liu; Yijing Jiang; Lemin Hong; Yifan Chen; Hongming Huang; Dan Guo
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec

6.  Bortezomib plus dexamethasone vs thalidomide plus dexamethasone for relapsed or refractory multiple myeloma.

Authors:  Shinsuke Iida; Masashi Wakabayashi; Kunihiro Tsukasaki; Kenichi Miyamoto; Dai Maruyama; Kazuhito Yamamoto; Yoshifusa Takatsuka; Shigeru Kusumoto; Junya Kuroda; Kiyoshi Ando; Yoshitaka Kikukawa; Yasufumi Masaki; Miki Kobayashi; Ichiro Hanamura; Hiroaki Asai; Hirokazu Nagai; Kazuyuki Shimada; Norifumi Tsukamoto; Yoshiko Inoue; Kensei Tobinai
Journal:  Cancer Sci       Date:  2018-04-17       Impact factor: 6.716

  6 in total

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