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Glycolytic biomarkers predict transformation in patients with follicular lymphoma

Follicular lymphoma (FL) is an indolent neoplasia comprising approximately 20% of lymphomas. FL is generally considered incurable, with a median survival exceeding 10 years. A subset of FL patients experiences histological transformation (HT) to a more aggressive lymphoma, resulting in markedly poor...

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Autores principales: Monrad, Ida, Madsen, Charlotte, Lauridsen, Kristina Lystlund, Honoré, Bent, Plesner, Trine Lindhardt, Hamilton-Dutoit, Stephen, d’Amore, Francesco, Ludvigsen, Maja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244150/
https://www.ncbi.nlm.nih.gov/pubmed/32442224
http://dx.doi.org/10.1371/journal.pone.0233449
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author Monrad, Ida
Madsen, Charlotte
Lauridsen, Kristina Lystlund
Honoré, Bent
Plesner, Trine Lindhardt
Hamilton-Dutoit, Stephen
d’Amore, Francesco
Ludvigsen, Maja
author_facet Monrad, Ida
Madsen, Charlotte
Lauridsen, Kristina Lystlund
Honoré, Bent
Plesner, Trine Lindhardt
Hamilton-Dutoit, Stephen
d’Amore, Francesco
Ludvigsen, Maja
author_sort Monrad, Ida
collection PubMed
description Follicular lymphoma (FL) is an indolent neoplasia comprising approximately 20% of lymphomas. FL is generally considered incurable, with a median survival exceeding 10 years. A subset of FL patients experiences histological transformation (HT) to a more aggressive lymphoma, resulting in markedly poorer clinical outcome, with a reduced median survival after transformation of 1–2 years. Early, reliable prediction of HT would be valuable in the clinical setting, allowing pre-emptive therapeutic intervention. We previously used proteomics to identify the glycolytic enzymes fructose-bisphosphate aldolase A (aldolase A) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) as candidate predictors of FL transformation. Now, we use immunohistochemistry to evaluate expression of these enzymes in paired primary FLs from patients with (n = 41) or without subsequent HT (n = 49), to test their value as predictive biomarkers. At initial FL diagnosis, patients with subsequent HT had significantly higher expression of aldolase A and GAPDH (p<0.001 and p<0.01) compared with patients without HT. Furthermore, high expression of aldolase A and GAPDH was associated with significantly shorter transformation free survival (p = 0.018, p = 0.001). These data suggest that high expression of aldolase A and GAPDH, may indicate increased metabolic turnover, and that these enzymes may be useful biomarkers in primary FL for predicting the risk of subsequent lymphoma transformation.
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spelling pubmed-72441502020-06-03 Glycolytic biomarkers predict transformation in patients with follicular lymphoma Monrad, Ida Madsen, Charlotte Lauridsen, Kristina Lystlund Honoré, Bent Plesner, Trine Lindhardt Hamilton-Dutoit, Stephen d’Amore, Francesco Ludvigsen, Maja PLoS One Research Article Follicular lymphoma (FL) is an indolent neoplasia comprising approximately 20% of lymphomas. FL is generally considered incurable, with a median survival exceeding 10 years. A subset of FL patients experiences histological transformation (HT) to a more aggressive lymphoma, resulting in markedly poorer clinical outcome, with a reduced median survival after transformation of 1–2 years. Early, reliable prediction of HT would be valuable in the clinical setting, allowing pre-emptive therapeutic intervention. We previously used proteomics to identify the glycolytic enzymes fructose-bisphosphate aldolase A (aldolase A) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) as candidate predictors of FL transformation. Now, we use immunohistochemistry to evaluate expression of these enzymes in paired primary FLs from patients with (n = 41) or without subsequent HT (n = 49), to test their value as predictive biomarkers. At initial FL diagnosis, patients with subsequent HT had significantly higher expression of aldolase A and GAPDH (p<0.001 and p<0.01) compared with patients without HT. Furthermore, high expression of aldolase A and GAPDH was associated with significantly shorter transformation free survival (p = 0.018, p = 0.001). These data suggest that high expression of aldolase A and GAPDH, may indicate increased metabolic turnover, and that these enzymes may be useful biomarkers in primary FL for predicting the risk of subsequent lymphoma transformation. Public Library of Science 2020-05-22 /pmc/articles/PMC7244150/ /pubmed/32442224 http://dx.doi.org/10.1371/journal.pone.0233449 Text en © 2020 Monrad et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Monrad, Ida
Madsen, Charlotte
Lauridsen, Kristina Lystlund
Honoré, Bent
Plesner, Trine Lindhardt
Hamilton-Dutoit, Stephen
d’Amore, Francesco
Ludvigsen, Maja
Glycolytic biomarkers predict transformation in patients with follicular lymphoma
title Glycolytic biomarkers predict transformation in patients with follicular lymphoma
title_full Glycolytic biomarkers predict transformation in patients with follicular lymphoma
title_fullStr Glycolytic biomarkers predict transformation in patients with follicular lymphoma
title_full_unstemmed Glycolytic biomarkers predict transformation in patients with follicular lymphoma
title_short Glycolytic biomarkers predict transformation in patients with follicular lymphoma
title_sort glycolytic biomarkers predict transformation in patients with follicular lymphoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7244150/
https://www.ncbi.nlm.nih.gov/pubmed/32442224
http://dx.doi.org/10.1371/journal.pone.0233449
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