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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7244150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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