Literature DB >> 26974274

Early relapse post autologous transplant is a stronger predictor of survival compared with pretreatment patient factors in the novel agent era: analysis of the Singapore Multiple Myeloma Working Group.

S Y Ong1, S de Mel2, Y X Chen1, M G Ooi2, S Surendran1, A Lin2, L P Koh2, Y C Linn1, A Y L Ho1, W Y K Hwang1, C Phipps1, S M Y Loh1,3, Y T Goh1, D Tan1,3, W J Chng2, S K Gopalakrishnan1.   

Abstract

The clinical outcome of multiple myeloma is heterogeneous. Both the depth of response to induction and transplant as well as early relapse within a year are correlated with survival, but it is unclear which factor is most relevant in Southeast Asian patients with multiple myeloma. We retrospectively analyzed outcomes of 215 patients who were treated with upfront autologous transplant in Singapore between 2000 and 2014. In patients who received novel agent (NA)-based induction, achieving only partial response (PR) post-induction was associated with poorer OS (HR 1.95, P=0.047) and PFS (HR 2.9, P<0.001), while achieving only PR post-transplant was strongly correlated with both OS (HR 3.3, P=0.001) and PFS (HR 7.6, P<0.001), compared with patients who achieved very good partial response (VGPR) or better. Early relapse was detected in 18% of all patients, although nearly half had initially achieved VGPR or better post-transplant. Early relapse after NA-based induction led to significantly shorter OS (median 22 months vs not reached, P<0.001), and was strongly associated with OS (HR 13.7, P<0.001). The impact of suboptimal post-transplant response and early relapse on survival may be more important than pretransplant factors, such as International Staging System or cytogenetics, and should be considered in risk stratification systems to rationalize therapy.

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Year:  2016        PMID: 26974274     DOI: 10.1038/bmt.2016.43

Source DB:  PubMed          Journal:  Bone Marrow Transplant        ISSN: 0268-3369            Impact factor:   5.483


  19 in total

1.  Early relapse after single auto-SCT for multiple myeloma is a major predictor of survival in the era of novel agents.

Authors:  V H Jimenez-Zepeda; D E Reece; S Trudel; C Chen; R Tiedemann; V Kukreti
Journal:  Bone Marrow Transplant       Date:  2014-10-27       Impact factor: 5.483

2.  High-risk cytogenetics and persistent minimal residual disease by multiparameter flow cytometry predict unsustained complete response after autologous stem cell transplantation in multiple myeloma.

Authors:  Bruno Paiva; Norma C Gutiérrez; Laura Rosiñol; María-Belén Vídriales; María-Ángeles Montalbán; Joaquín Martínez-López; María-Victoria Mateos; María-Teresa Cibeira; Lourdes Cordón; Albert Oriol; María-José Terol; María-Asunción Echeveste; Raquel de Paz; Felipe de Arriba; Luis Palomera; Javier de la Rubia; Joaquín Díaz-Mediavilla; Anna Sureda; Ana Gorosquieta; Adrian Alegre; Alejandro Martin; Miguel T Hernández; Juan-José Lahuerta; Joan Bladé; Jesús F San Miguel
Journal:  Blood       Date:  2011-11-29       Impact factor: 22.113

3.  Long-term analysis of the IFM 99 trials for myeloma: cytogenetic abnormalities [t(4;14), del(17p), 1q gains] play a major role in defining long-term survival.

Authors:  Hervé Avet-Loiseau; Michel Attal; Loic Campion; Denis Caillot; Cyrille Hulin; Gerald Marit; Anne-Marie Stoppa; Laurent Voillat; Marc Wetterwald; Brigitte Pegourie; Eric Voog; Mourad Tiab; Anne Banos; Jerome Jaubert; Didier Bouscary; Margaret Macro; Brigitte Kolb; Catherine Traulle; Claire Mathiot; Florence Magrangeas; Stephane Minvielle; Thierry Facon; Philippe Moreau
Journal:  J Clin Oncol       Date:  2012-04-30       Impact factor: 44.544

4.  Impact of early relapse after auto-SCT for multiple myeloma.

Authors:  S Kumar; S T Mahmood; M Q Lacy; A Dispenzieri; S R Hayman; F K Buadi; D Dingli; S V Rajkumar; M R Litzow; M A Gertz
Journal:  Bone Marrow Transplant       Date:  2008-06-30       Impact factor: 5.483

5.  Bortezomib-based versus nonbortezomib-based induction treatment before autologous stem-cell transplantation in patients with previously untreated multiple myeloma: a meta-analysis of phase III randomized, controlled trials.

Authors:  Pieter Sonneveld; Hartmut Goldschmidt; Laura Rosiñol; Joan Bladé; Juan José Lahuerta; Michele Cavo; Paola Tacchetti; Elena Zamagni; Michel Attal; Henk M Lokhorst; Avinash Desai; Andrew Cakana; Kevin Liu; Helgi van de Velde; Dixie-Lee Esseltine; Philippe Moreau
Journal:  J Clin Oncol       Date:  2013-07-29       Impact factor: 44.544

6.  The impact of upfront versus sequential use of bortezomib among patients with newly diagnosed multiple myeloma (MM): a joint analysis of the Singapore MM Study Group and the Korean MM Working Party for the Asian myeloma network.

Authors:  Daryl Tan; Kihyun Kim; Jin Seok Kim; Hyeon-Seok Eom; Gerrard Teoh; Kiat Hoe Ong; Yeow Tee Goh; Brian G M Durie; Wee Joo Chng; Jae Hoon Lee
Journal:  Leuk Res       Date:  2013-06-28       Impact factor: 3.156

7.  Revised International Staging System for Multiple Myeloma: A Report From International Myeloma Working Group.

Authors:  Antonio Palumbo; Hervé Avet-Loiseau; Stefania Oliva; Henk M Lokhorst; Hartmut Goldschmidt; Laura Rosinol; Paul Richardson; Simona Caltagirone; Juan José Lahuerta; Thierry Facon; Sara Bringhen; Francesca Gay; Michel Attal; Roberto Passera; Andrew Spencer; Massimo Offidani; Shaji Kumar; Pellegrino Musto; Sagar Lonial; Maria T Petrucci; Robert Z Orlowski; Elena Zamagni; Gareth Morgan; Meletios A Dimopoulos; Brian G M Durie; Kenneth C Anderson; Pieter Sonneveld; Jésus San Miguel; Michele Cavo; S Vincent Rajkumar; Philippe Moreau
Journal:  J Clin Oncol       Date:  2015-08-03       Impact factor: 44.544

Review 8.  International Myeloma Working Group molecular classification of multiple myeloma: spotlight review.

Authors:  R Fonseca; P L Bergsagel; J Drach; J Shaughnessy; N Gutierrez; A K Stewart; G Morgan; B Van Ness; M Chesi; S Minvielle; A Neri; B Barlogie; W M Kuehl; P Liebisch; F Davies; S Chen-Kiang; B G M Durie; R Carrasco; Orhan Sezer; Tony Reiman; Linda Pilarski; H Avet-Loiseau
Journal:  Leukemia       Date:  2009-10-01       Impact factor: 11.528

9.  Influence of pre- and post-transplantation responses on outcome of patients with multiple myeloma: sequential improvement of response and achievement of complete response are associated with longer survival.

Authors:  Juan José Lahuerta; Maria Victoria Mateos; Joaquin Martínez-López; Laura Rosiñol; Anna Sureda; Javier de la Rubia; José García-Laraña; Rafael Martínez-Martínez; Miguel T Hernández-García; Dolores Carrera; Joan Besalduch; Felipe de Arriba; José María Ribera; Lourdes Escoda; Belén Hernández-Ruiz; Javier García-Frade; Concepción Rivas-González; Adrían Alegre; Joan Bladé; Jesús F San Miguel
Journal:  J Clin Oncol       Date:  2008-11-10       Impact factor: 44.544

10.  Changing trends in prognostic factors for patients with multiple myeloma after autologous stem cell transplantation during the immunomodulator drug/proteasome inhibitor era.

Authors:  Hiroyuki Takamatsu; Sumihisa Honda; Toshihiro Miyamoto; Kenji Yokoyama; Shotaro Hagiwara; Toshiro Ito; Naoto Tomita; Shinsuke Iida; Toshihiro Iwasaki; Hisashi Sakamaki; Ritsuro Suzuki; Kazutaka Sunami
Journal:  Cancer Sci       Date:  2015-02-06       Impact factor: 6.716

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  3 in total

1.  Early relapse after autologous transplant for myeloma is associated with poor survival regardless of cytogenetic risk.

Authors:  Jill Corre; Lydia Montes; Elodie Martin; Aurore Perrot; Denis Caillot; Xavier Leleu; Karim Belhadj; Thierry Facon; Cyrille Hulin; Mohamad Mohty; Jean Fontan; Margaret Macro; Sabine Brechignac; Arnaud Jaccard; Anne-Marie Stoppa; Frederique Orsini-Piocelle; Didier Adiko; Laurent Voillat; Faiza Keddar; Marly Barry; Helene Demarquette; Marie-Noelle Certain; Isabelle Plantier; Murielle Roussel; Benjamin Hébraud; Thomas Filleron; Michel Attal; Hervé Avet-Loiseau
Journal:  Haematologica       Date:  2019-12-19       Impact factor: 9.941

Review 2.  Risk Stratification in Multiple Myeloma.

Authors:  Melissa Gaik-Ming Ooi; Sanjay de Mel; Wee Joo Chng
Journal:  Curr Hematol Malig Rep       Date:  2016-04       Impact factor: 3.952

3.  Mass cytometry dissects T cell heterogeneity in the immune tumor microenvironment of common dysproteinemias at diagnosis and after first line therapies.

Authors:  Taxiarchis V Kourelis; Jose C Villasboas; Erik Jessen; Surendra Dasari; Angela Dispenzieri; Dragan Jevremovic; Shaji Kumar
Journal:  Blood Cancer J       Date:  2019-08-28       Impact factor: 11.037

  3 in total

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