Literature DB >> 17692103

Plasma cell growth fraction using Ki-67 antigen expression identifies a subgroup of multiple myeloma patients displaying short survival within the ISS stage I.

Thomas Gastinne1, Xavier Leleu, Alain Duhamel, Anne-Sophie Moreau, Genevieve Franck, Joris Andrieux, Jean-Luc Lai, Valerie Coiteux, Ibrahim Yakoub-Agha, Francis Bauters, Jean-Luc Harousseau, Marc Zandecki, Thierry Facon.   

Abstract

The current most powerful prognostic model in Multiple Myeloma (MM) combines beta-2 microglobulin (b2m) with albumin, corresponding to the International Staging System (ISS). However, the prognosis of patients within the ISS stage I (high albumin and low b2m) may vary. Ki-67 is a nuclear protein associated with cell proliferation. We retrospectively evaluated the percentage of bone marrow plasma cells expressing Ki-67 antigen (Ki-67 index) in a series of 174 untreated MM patients at diagnosis. Median survival was 51, 41 and 20 months respectively, and median Ki-67 index was 3.0%, 6.1% and 6.5% in ISS stages I, II, and III respectively. Independently of ISS, Ki-67 index > or =4% was highly predictive of adverse prognosis. Ki-67 index correlated with markers of intrinsic malignancy and with markers of tumour burden. Within ISS stage I, median survival was of 31 months (RR of death 2.65) in patients with Ki-67 index > or =4%. Eventually, the combination of Ki-67 with b2m produced an efficient prognostic model, which appeared most effective in our series when compared with b2m and KI-67 with chromosome 13 deletion models. In this series, we demonstrated that a proliferation marker provides clear-cut additional survival prognostic information to b2m into the ISS model.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17692103     DOI: 10.1111/j.1600-0609.2007.00915.x

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


  9 in total

1.  Altered mRNA expression of telomere-associated genes in monoclonal gammopathy of undetermined significance and multiple myeloma.

Authors:  Julieta Panero; Jorge Arbelbide; Dorotea Beatriz Fantl; Hernán García Rivello; Dana Kohan; Irma Slavutsky
Journal:  Mol Med       Date:  2010-07-14       Impact factor: 6.354

Review 2.  Heterogeneity in the diagnosis of plasmablastic lymphoma, plasmablastic myeloma, and plasmablastic neoplasm: a scoping review.

Authors:  Hirotaka Mori; Masahiko Fukatsu; Hiroshi Ohkawara; Yuka Oka; Yuki Kataoka; Shunsuke Taito; Takayuki Ikezoe
Journal:  Int J Hematol       Date:  2021-08-30       Impact factor: 2.490

Review 3.  Current and New Therapeutic Strategies for Relapsed and Refractory Multiple Myeloma: An Update.

Authors:  Inger S Nijhof; Niels W C J van de Donk; Sonja Zweegman; Henk M Lokhorst
Journal:  Drugs       Date:  2018-01       Impact factor: 9.546

4.  Constitutive Activation of STAT3 in Myeloma Cells Cultured in a Three-Dimensional, Reconstructed Bone Marrow Model.

Authors:  Yung-Hsing Huang; Ommoleila Molavi; Abdulraheem Alshareef; Moinul Haque; Qian Wang; Michael P Chu; Christopher P Venner; Irwindeep Sandhu; Anthea C Peters; Afsaneh Lavasanifar; Raymond Lai
Journal:  Cancers (Basel)       Date:  2018-06-16       Impact factor: 6.639

5.  Correlation Between Uptake of 18F-FDG During PET/CT and Ki-67 Expression in Patients Newly Diagnosed With Multiple Myeloma Having Extramedullary Involvement.

Authors:  Qian Li; Jing Ma; Han Li; Wengui Xu; Zeng Cao; Su Liu; Lin Chen; Shuang Gao; Tinghui Yan; Dongying Li; Xue Wang; Yuanfang Yue; Zhigang Zhao; Xiaofang Wang; Hongliang Yang; Haifeng Zhao; Yong Yu; Yizhuo Zhang; Feiyue Fan; Yafei Wang
Journal:  Technol Cancer Res Treat       Date:  2019-01-01

6.  Expression of L-type amino acid transporter 1 (LAT1) as a prognostic and therapeutic indicator in multiple myeloma.

Authors:  Atsushi Isoda; Kyoichi Kaira; Masanori Iwashina; Noboru Oriuchi; Hideyuki Tominaga; Shushi Nagamori; Yoshikatsu Kanai; Tetsunari Oyama; Takayuki Asao; Morio Matsumoto; Morio Sawamura
Journal:  Cancer Sci       Date:  2014-10-09       Impact factor: 6.716

7.  Relationship between circulating BAFF serum levels with proliferating markers in patients with multiple myeloma.

Authors:  Michael G Alexandrakis; Parascevi Roussou; Constantina A Pappa; Ippokratis Messaritakis; Athina Xekalou; Nektaria Goulidaki; Anna Boula; George Tsirakis
Journal:  Biomed Res Int       Date:  2013-07-15       Impact factor: 3.411

8.  Evaluation of chromosomal abnormalities by cIg-FISH and association with proliferative and apoptotic indexes in multiple myeloma.

Authors:  C C G Linardi; G Martinez; E D R P Velloso; A M Leal; C A Kumeda; V Buccheri; R S Azevedo; L M Peliçario; P Dorlhiac-Llacer
Journal:  Braz J Med Biol Res       Date:  2012-08-23       Impact factor: 2.590

9.  Prediction of high- and low-risk multiple myeloma based on gene expression and the International Staging System.

Authors:  Rowan Kuiper; Mark van Duin; Martin H van Vliet; Annemiek Broijl; Bronno van der Holt; Laila El Jarari; Erik H van Beers; George Mulligan; Hervé Avet-Loiseau; Walter M Gregory; Gareth Morgan; Hartmut Goldschmidt; Henk M Lokhorst; Pieter Sonneveld
Journal:  Blood       Date:  2015-09-01       Impact factor: 22.113

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.