Literature DB >> 15327517

Post-transplantation tumour load in bone marrow, as assessed by quantitative ASO-PCR, is a prognostic parameter in multiple myeloma.

Marleen H C Bakkus1, Yasmina Bouko, Diana Samson, Jane F Apperley, Kris Thielemans, Benjamin Van Camp, Axel Benner, Hartmut Goldschmidt, Marion Moos, Friedrich W Cremer.   

Abstract

High-dose therapy (HDT) and autologous transplantation prolongs remission duration and survival in multiple myeloma (MM), but relapse still occurs at a median of 2 years post-HDT. In order to investigate whether the number of residual tumour cells in the bone marrow (BM) after transplantation can predict the duration of response, a quantitative allele-specific oligonucleotide polymerase chain reaction (qASO-PCR) assay was used to measure tumour load in BM at 3-6 months post-HDT in 67 patients. The method of maximally selected log-rank statistics was used to test for the existence of a cut-off value in the BM tumour load data set. A cut-off value with respect to progression-free survival (PFS) was identified (P = 0.001). The estimated threshold for placing patients into a "good" or "bad" prognostic group was 0.015% (n = 22 and 38 respectively) with a median PFS of 64 months vs. 16. Multivariate analysis showed grouping by PCR result to be an independent prognostic factor for PFS (estimated hazard ratio after shrinkage, 3.91). This study identifies for the first time a threshold of the post-HDT tumour load with prognostic significance for PFS in MM. Quantitative molecular assessment thus may help to identify those patients who are in need of further treatment early after autologous transplantation.

Entities:  

Mesh:

Year:  2004        PMID: 15327517     DOI: 10.1111/j.1365-2141.2004.05120.x

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  15 in total

Review 1.  Minimal residual disease testing after stem cell transplantation for multiple myeloma.

Authors:  A M Sherrod; P Hari; C A Mosse; R C Walker; R F Cornell
Journal:  Bone Marrow Transplant       Date:  2015-07-20       Impact factor: 5.483

Review 2.  New criteria for response assessment: role of minimal residual disease in multiple myeloma.

Authors:  Bruno Paiva; Jacques J M van Dongen; Alberto Orfao
Journal:  Blood       Date:  2015-04-02       Impact factor: 22.113

3.  A large meta-analysis establishes the role of MRD negativity in long-term survival outcomes in patients with multiple myeloma.

Authors:  Nikhil C Munshi; Herve Avet-Loiseau; Kenneth C Anderson; Paola Neri; Bruno Paiva; Mehmet Samur; Meletios Dimopoulos; Margarita Kulakova; Annette Lam; Mahmoud Hashim; Jianming He; Bart Heeg; Jon Ukropec; Jessica Vermeulen; Sarah Cote; Nizar Bahlis
Journal:  Blood Adv       Date:  2020-12-08

4.  Identification of a new HLA-A2-restricted T-cell epitope within HM1.24 as immunotherapy target for multiple myeloma.

Authors:  Michael Hundemer; Stefanie Schmidt; Maud Condomines; Alaviana Lupu; Dirk Hose; Marion Moos; Friedrich Cremer; Christian Kleist; Peter Terness; Sebastian Belle; Anthony D Ho; Hartmut Goldschmidt; Bernard Klein; Olaf Christensen
Journal:  Exp Hematol       Date:  2006-04       Impact factor: 3.084

Review 5.  Immunophenotyping in multiple myeloma and related plasma cell disorders.

Authors:  Shaji Kumar; Teresa Kimlinger; William Morice
Journal:  Best Pract Res Clin Haematol       Date:  2010-09       Impact factor: 3.020

6.  Critical evaluation of ASO RQ-PCR for minimal residual disease evaluation in multiple myeloma. A comparative analysis with flow cytometry.

Authors:  N Puig; M E Sarasquete; A Balanzategui; J Martínez; B Paiva; H García; S Fumero; C Jiménez; M Alcoceba; M C Chillón; E Sebastián; L Marín; M A Montalbán; M V Mateos; A Oriol; L Palomera; J de la Rubia; M B Vidriales; J Bladé; J J Lahuerta; M González; J F S Miguel; R García-Sanz
Journal:  Leukemia       Date:  2013-07-17       Impact factor: 11.528

Review 7.  Controversies in the assessment of minimal residual disease in multiple myeloma: clinical significance of minimal residual disease negativity using highly sensitive techniques.

Authors:  Noa Biran; Scott Ely; Ajai Chari
Journal:  Curr Hematol Malig Rep       Date:  2014-12       Impact factor: 3.952

8.  Prognostic value of deep sequencing method for minimal residual disease detection in multiple myeloma.

Authors:  Joaquin Martinez-Lopez; Juan J Lahuerta; François Pepin; Marcos González; Santiago Barrio; Rosa Ayala; Noemí Puig; María A Montalban; Bruno Paiva; Li Weng; Cristina Jiménez; María Sopena; Martin Moorhead; Teresa Cedena; Immaculada Rapado; María Victoria Mateos; Laura Rosiñol; Albert Oriol; María J Blanchard; Rafael Martínez; Joan Bladé; Jesús San Miguel; Malek Faham; Ramón García-Sanz
Journal:  Blood       Date:  2014-03-19       Impact factor: 22.113

9.  Association of Minimal Residual Disease With Superior Survival Outcomes in Patients With Multiple Myeloma: A Meta-analysis.

Authors:  Nikhil C Munshi; Herve Avet-Loiseau; Andy C Rawstron; Roger G Owen; J Anthony Child; Anjan Thakurta; Paul Sherrington; Mehmet Kemal Samur; Anna Georgieva; Kenneth C Anderson; Walter M Gregory
Journal:  JAMA Oncol       Date:  2017-01-01       Impact factor: 31.777

10.  In non-transplant patients with multiple myeloma, the pre-treatment level of clonotypic cells predicts event-free survival.

Authors:  Kyle J Thulien; Andrew R Belch; Tony Reiman; Linda M Pilarski
Journal:  Mol Cancer       Date:  2012-10-19       Impact factor: 27.401

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.