Literature DB >> 25149549

Identification of MUM1 as a prognostic immunohistochemical marker in follicular lymphoma using computerized image analysis.

Luc Xerri1, Emmanuel Bachy2, Bettina Fabiani3, Danielle Canioni4, Catherine Chassagne-Clément5, Peggy Dartigues-Cuilléres6, Frédéric Charlotte7, Nicole Brousse4, Marie-Christine Rousselet8, Charles Foussard8, Pauline Brice9, Pierre Feugier10, Frank Morschhauser11, Anne Sonet12, Daniel Olive13, Gilles Salles2.   

Abstract

Detection of MUM1+ cells in follicular lymphoma (FL) tissues was previously found to be associated with poor prognosis in a single report, whereas the usefulness of Ki-67 immunostaining remains debated. Our goal was to establish whether these markers have predictive value for patients with FL. We analyzed MUM1 and Ki-67 expression using immunohistochemistry in biopsy samples from 434 patients from the PRIMA randomized trial. The MUM1 prognostic value was then validated in a cohort of 138 patients from the FL2000 randomized trial, using the optimal cutoff value obtained from the PRIMA cohort. The surface of positive staining was quantified using computerized image analysis. In the PRIMA cohort, both high levels of MUM1 positivity (cutoff value of 0.80%) and high levels of Ki-67 positivity (cutoff value of 10.25%) were significantly associated with a shorter progression-free survival (PFS) (P = .004 and P = .007 for MUM1 and Ki-67, respectively). In a multivariate Cox proportional hazards regression model, only MUM1 retained a statistical significance (hazards ratio 1.56; 95% confidence interval, 1.02-2.37; P = .038) after adjustment for the maintenance arm of treatment and the follicular lymphoma international prognostic index score. In the FL2000 cohort, high levels of MUM1 positivity were significantly associated to a shorter PFS (P = .004) and to a trend toward a shorter overall survival (P = .043). This remained significant using a multivariate Cox regression model after adjustment for the follicular lymphoma international prognostic index and the treatment arm for PFS (P = .016). These results show that MUM1 is a strong and robust predictive immunohistochemical marker in patients with FL.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Follicular lymphoma; Image analysis; Immunohistochemistry; Ki-67; MUM1; Prognosis

Mesh:

Substances:

Year:  2014        PMID: 25149549     DOI: 10.1016/j.humpath.2014.06.019

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  4 in total

Review 1.  The heterogeneity of follicular lymphomas: from early development to transformation.

Authors:  Luc Xerri; Stephan Dirnhofer; Leticia Quintanilla-Martinez; Birgitta Sander; John K C Chan; Elias Campo; Steven H Swerdlow; German Ott
Journal:  Virchows Arch       Date:  2015-10-19       Impact factor: 4.064

2.  Cell of origin of transformed follicular lymphoma.

Authors:  Robert Kridel; Anja Mottok; Pedro Farinha; Susana Ben-Neriah; Daisuke Ennishi; Yvonne Zheng; Elizabeth A Chavez; Hennady P Shulha; King Tan; Fong Chun Chan; Merrill Boyle; Barbara Meissner; Adele Telenius; Laurie H Sehn; Marco A Marra; Sohrab P Shah; Christian Steidl; Joseph M Connors; David W Scott; Randy D Gascoyne
Journal:  Blood       Date:  2015-08-25       Impact factor: 22.113

3.  Biomarkers for Risk Stratification in Patients With Previously Untreated Follicular Lymphoma Receiving Anti-CD20-based Biological Therapy.

Authors:  Aliyah R Sohani; Matthew J Maurer; Sharmila Giri; Brandelyn Pitcher; Amy Chadburn; Jonathan W Said; Nancy L Bartlett; Myron S Czuczman; Peter Martin; Cara A Rosenbaum; Sin-Ho Jung; John P Leonard; Bruce D Cheson; Eric D Hsi
Journal:  Am J Surg Pathol       Date:  2021-03-01       Impact factor: 6.298

Review 4.  The broad landscape of follicular lymphoma: Part II.

Authors:  Stefano Fratoni; Magda Zanelli; Maurizio Zizzo; Francesca Sanguedolce; Valentina Aimola; Giulia Cerrone; Linda Ricci; Alessandra Filosa; Giovanni Martino; Antonella Maria Fara; Valerio Annessi; Alessandra Soriano; Stefano Ascani
Journal:  Pathologica       Date:  2020-03-12
  4 in total

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