Literature DB >> 24117042

Clinical applicability and prognostic significance of molecular response assessed by fluorescent-PCR of immunoglobulin genes in multiple myeloma. Results from a GEM/PETHEMA study.

Joaquin Martinez-Lopez1, Elena Fernández-Redondo, Ramón García-Sánz, María Angeles Montalbán, Pilar Martínez-Sánchez, Bruno Pavia, María Victoria Mateos, Laura Rosiñol, Marisa Martín, Rosa Ayala, Rafael Martínez, María Jesus Blanchard, Adrian Alegre, Joan Besalduch, Joan Bargay, Miguel T Hernandez, María Eugenia Sarasquete, Pedro Sanchez-Godoy, Manuela Fernández, Joan Blade, Jesús F San Miguel, Juan Jose Lahuerta.   

Abstract

Minimal residual disease monitoring is becoming increasingly important in multiple myeloma (MM), but multiparameter flow cytometry (MFC) and allele-specific oligonucleotide polymerase chain reaction (ASO-PCR) techniques are not routinely available. This study investigated the prognostic influence of achieving molecular response assessed by fluorescent-PCR (F-PCR) in 130 newly diagnosed MM patients from Grupo Español Multidisciplinar de Melanoma (GEM)2000/GEM05 trials (NCT00560053, NCT00443235, NCT00464217) who achieved almost very good partial response after induction therapy. As a reference, we used the results observed with simultaneous MFC. F-PCR at diagnosis was performed on DNA using three different multiplex PCRs: IGH D-J, IGK V-J and KDE rearrangements. The applicability of F-PCR was 91·5%. After induction therapy, 64 patients achieved molecular response and 66 non-molecular response; median progression-free survival (PFS) was 61 versus 36 months, respectively (P = 0·001). Median overall survival (OS) was not reached (NR) in molecular response patients (5-year survival: 75%) versus 66 months in the non-molecular response group (P = 0·03). The corresponding PFS and OS values for patients with immunophenotypic versus non-immunophenotypic response were 67 versus 42 months (P = 0·005) and NR (5-year survival: 95%) versus 69 months (P = 0·004), respectively. F-PCR analysis is a rapid, affordable, and easily performable technique that, in some circumstances, may be a valid approach for minimal residual disease investigations in MM.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  IGH; Multiple myeloma; flow cytometry; fluorescent-PCR; minimal residual disease

Mesh:

Substances:

Year:  2013        PMID: 24117042     DOI: 10.1111/bjh.12576

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


  18 in total

Review 1.  European perspective on multiple myeloma treatment strategies in 2014.

Authors:  Heinz Ludwig; Pieter Sonneveld; Faith Davies; Joan Bladé; Mario Boccadoro; Michele Cavo; Gareth Morgan; Javier de la Rubia; Michel Delforge; Meletios Dimopoulos; Hermann Einsele; Thierry Facon; Hartmut Goldschmidt; Philippe Moreau; Hareth Nahi; Torben Plesner; Jesús San-Miguel; Roman Hajek; Pia Sondergeld; Antonio Palumbo
Journal:  Oncologist       Date:  2014-07-25

Review 2.  Minimal residual disease in multiple myeloma: bringing the bench to the bedside.

Authors:  Sham Mailankody; Neha Korde; Alexander M Lesokhin; Nikoletta Lendvai; Hani Hassoun; Maryalice Stetler-Stevenson; Ola Landgren
Journal:  Nat Rev Clin Oncol       Date:  2015-01-27       Impact factor: 66.675

3.  Flow cytometry quality requirements for monitoring of minimal disease in plasma cell myeloma.

Authors:  Teri A Oldaker; Paul K Wallace; David Barnett
Journal:  Cytometry B Clin Cytom       Date:  2015-09-04       Impact factor: 3.058

4.  Assessment of minimal residual disease in myeloma and the need for a consensus approach.

Authors:  Andy C Rawstron; Bruno Paiva; Maryalice Stetler-Stevenson
Journal:  Cytometry B Clin Cytom       Date:  2015-09-23       Impact factor: 3.058

Review 5.  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

6.  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

7.  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

Review 8.  Post-Autologous (ASCT) Stem Cell Transplant Therapy in Multiple Myeloma.

Authors:  Zeina Al-Mansour; Muthalagu Ramanathan
Journal:  Adv Hematol       Date:  2014-11-24

9.  Comparative analysis of minimal residual disease detection by multiparameter flow cytometry and enhanced ASO RQ-PCR in multiple myeloma.

Authors:  R Silvennoinen; T Lundan; V Kairisto; T-T Pelliniemi; M Putkonen; P Anttila; V Huotari; P Mäntymaa; S Siitonen; L Uotila; T-L Penttilä; V Juvonen; T Selander; K Remes
Journal:  Blood Cancer J       Date:  2014-10-10       Impact factor: 11.037

10.  A phase 1/2 study of carfilzomib in Japanese patients with relapsed and/or refractory multiple myeloma.

Authors:  Takashi Watanabe; Kensei Tobinai; Morio Matsumoto; Kenshi Suzuki; Kazutaka Sunami; Tadao Ishida; Kiyoshi Ando; Takaaki Chou; Shuji Ozaki; Masafumi Taniwaki; Naokuni Uike; Hirohiko Shibayama; Kiyohiko Hatake; Koji Izutsu; Takayuki Ishikawa; Yoshihisa Shumiya; Tomohisa Kashihara; Shinsuke Iida
Journal:  Br J Haematol       Date:  2016-01-05       Impact factor: 6.998

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