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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Human Pathologyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Human Pathology
Article . 2014 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Identification of MUM1 as a prognostic immunohistochemical marker in follicular lymphoma using computerized image analysis

Authors: Xerri, Luc; Bachy, Emmanuel; Fabiani, Bettina; Canioni, Daniel; Chassagne-Clément, Catherine; Dartigues-Cuilléres, Peggy; Charlotte, Frederic; +9 Authors

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

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.

Keywords

Adult, Male, MUM1, Adolescent, Disease-Free Survival, Image analysis, Follicular lymphoma, Young Adult, Antineoplastic Combined Chemotherapy Protocols, Biomarkers, Tumor, Image Processing, Computer-Assisted, Humans, Lymphoma, Follicular, Aged, Proportional Hazards Models, Middle Aged, Prognosis, Immunohistochemistry, [SDV] Life Sciences [q-bio], Ki-67 Antigen, Interferon Regulatory Factors, Ki-67, Female

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Average
Top 10%
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