Literature DB >> 29623394

Evaluation of Revised International Staging System (R-ISS) for transplant-eligible multiple myeloma patients.

Verónica González-Calle1,2, Abigail Slack1, Niamh Keane1, Susan Luft3, Kathryn E Pearce4, Rhett P Ketterling4, Tania Jain1, Sintosebastian Chirackal1, Craig Reeder3, Joseph Mikhael3, Pierre Noel3, Angela Mayo3, Roberta H Adams3, Gregory Ahmann1, Esteban Braggio1, A Keith Stewart1,3,5, P Leif Bergsagel1,3, Scott A Van Wier1, Rafael Fonseca6,7,8.   

Abstract

The International Myeloma Working Group has proposed the Revised International Staging System (R-ISS) for risk stratification of multiple myeloma (MM) patients. There are a limited number of studies that have validated this risk model in the autologous stem cell transplant (ASCT) setting. In this retrospective study, we evaluated the applicability and value for predicting survival of the R-ISS model in 134 MM patients treated with new agents and ASCT at the Mayo Clinic in Arizona and the University Hospital of Salamanca in Spain. The patients were reclassified at diagnosis according to the R-ISS: 44 patients (33%) had stage I, 75 (56%) had stage II, and 15 (11%) had stage III. After a median follow-up of 60 months, R-ISS assessed at diagnosis was an independent predictor for overall survival (OS) after ASCT, with median OS not reached, 111 and 37 months for R-ISS I, II and III, respectively (P < 0.001). We also found that patients belonging to R-ISS II and having high-risk chromosomal abnormalities (CA) had a significant shorter median OS than those with R-ISS II without CA: 70 vs. 111 months, respectively. Therefore, this study lends further support for the R-ISS as a reliable prognostic tool for estimating survival in transplant myeloma patients and suggests the importance of high-risk CA in the R-ISS II group.

Entities:  

Keywords:  Autologous transplantation; Myeloma; Prognostic factor; R-ISS

Mesh:

Substances:

Year:  2018        PMID: 29623394     DOI: 10.1007/s00277-018-3316-7

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


  10 in total

Review 1.  Second malignancies in multiple myeloma; emerging patterns and future directions.

Authors:  Kylee Maclachlan; Benjamin Diamond; Francesco Maura; Jens Hillengass; Ingemar Turesson; C Ola Landgren; Dickran Kazandjian
Journal:  Best Pract Res Clin Haematol       Date:  2020-01-11       Impact factor: 3.020

Review 2.  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

3.  miRNA-seq and clinical evaluation in multiple myeloma: miR-181a overexpression predicts short-term disease progression and poor post-treatment outcome.

Authors:  Maria-Alexandra Papadimitriou; Aristea-Maria Papanota; Panagiotis G Adamopoulos; Katerina-Marina Pilala; Christine-Ivy Liacos; Panagiotis Malandrakis; Nefeli Mavrianou-Koutsoukou; Dimitrios Patseas; Evangelos Eleutherakis-Papaiakovou; Maria Gavriatopoulou; Efstathios Kastritis; Margaritis Avgeris; Meletios-Athanasios Dimopoulos; Evangelos Terpos; Andreas Scorilas
Journal:  Br J Cancer       Date:  2021-10-30       Impact factor: 7.640

Review 4.  High-risk disease in newly diagnosed multiple myeloma: beyond the R-ISS and IMWG definitions.

Authors:  Patrick Hagen; Jiwang Zhang; Kevin Barton
Journal:  Blood Cancer J       Date:  2022-05-30       Impact factor: 9.812

5.  Biochemical phenotyping of multiple myeloma patients at diagnosis reveals a disorder of mitochondrial complexes I and II and a Hartnup-like disturbance as underlying conditions, also influencing different stages of the disease.

Authors:  Ismael Dale Cotrim Guerreiro da Silva; Erica Valadares de Castro Levatti; Amanda Paula Pedroso; Dirce Maria Lobo Marchioni; Antonio Augusto Ferreira Carioca; Gisele Wally Braga Colleoni
Journal:  Sci Rep       Date:  2020-12-14       Impact factor: 4.379

6.  Effects of Amyloid Light-Chain Amyloidosis on Clinical Characteristics and Prognosis in Multiple Myeloma: A Single-Center Retrospective Study.

Authors:  Junhui Xu; Mangju Wang; Ye Shen; Miao Yan; Weiwei Xie; Bingjie Wang; Huihui Liu; Xinan Cen
Journal:  Cancer Manag Res       Date:  2021-02-11       Impact factor: 3.989

7.  Development of a new risk stratification system for patients with newly diagnosed multiple myeloma using R-ISS and 18F-FDG PET/CT.

Authors:  Je-Jung Lee; Joon Ho Moon; Hee Jeong Cho; Sung-Hoon Jung; Jae-Cheol Jo; Yoo Jin Lee; Sang Eun Yoon; Sung-Soo Park; Do Young Kim; Ho-Jin Shin; Yeung-Chul Mun; Jun Ho Yi; Hyo Jung Kim; Da Jung Kim; Ho Sup Lee; Sung Hwa Bae; Chae Moon Hong; Shin Young Jeong; Jung-Joon Min; Sang Kyun Sohn; Chang-Ki Min; Kihyun Kim
Journal:  Blood Cancer J       Date:  2021-12-01       Impact factor: 11.037

8.  MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma.

Authors:  Yang Li; Yang Liu; Ping Yin; Chuanxi Hao; Chao Sun; Lei Chen; Sicong Wang; Nan Hong
Journal:  Front Oncol       Date:  2021-12-01       Impact factor: 6.244

9.  [Clinical characteristics and prognosis of 56 multiple myeloma patients over 70 years of age complicated with other systemic diseases].

Authors:  H Zhang; Q Deng; J Y Li; M F Zhao; Y M Li
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2018-10-14

10.  Endothelial activation and stress index (EASIX) is a reliable predictor for overall survival in patients with multiple myeloma.

Authors:  Ga-Young Song; Sung-Hoon Jung; Kihyun Kim; Seok Jin Kim; Sang Eun Yoon; Ho Sup Lee; Mihee Kim; Seo-Yeon Ahn; Jae-Sook Ahn; Deok-Hwan Yang; Hyeoung-Joon Kim; Je-Jung Lee
Journal:  BMC Cancer       Date:  2020-08-24       Impact factor: 4.430

  10 in total

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