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Biomarkers of Gemtuzumab Ozogamicin Response for Acute Myeloid Leukemia Treatment
Gemtuzumab ozogamicin (GO, Mylotarg(®)) consists of a humanized CD33-targeted antibody-drug conjugated to a calicheamicin derivative. Growing evidence of GO efficacy in acute myeloid leukemia (AML), demonstrated by improved outcomes in CD33-positive AML patients across phase I to III clinical trials...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460695/ https://www.ncbi.nlm.nih.gov/pubmed/32781546 http://dx.doi.org/10.3390/ijms21165626 |
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author | Fenwarth, Laurène Fournier, Elise Cheok, Meyling Boyer, Thomas Gonzales, Fanny Castaigne, Sylvie Boissel, Nicolas Lambert, Juliette Dombret, Hervé Preudhomme, Claude Duployez, Nicolas |
author_facet | Fenwarth, Laurène Fournier, Elise Cheok, Meyling Boyer, Thomas Gonzales, Fanny Castaigne, Sylvie Boissel, Nicolas Lambert, Juliette Dombret, Hervé Preudhomme, Claude Duployez, Nicolas |
author_sort | Fenwarth, Laurène |
collection | PubMed |
description | Gemtuzumab ozogamicin (GO, Mylotarg(®)) consists of a humanized CD33-targeted antibody-drug conjugated to a calicheamicin derivative. Growing evidence of GO efficacy in acute myeloid leukemia (AML), demonstrated by improved outcomes in CD33-positive AML patients across phase I to III clinical trials, led to the Food and Drug Administration (FDA) approval on 1 September 2017 in CD33-positive AML patients aged 2 years and older. Discrepancies in GO recipients outcome have raised significant efforts to characterize biomarkers predictive of GO response and have refined the subset of patients that may strongly benefit from GO. Among them, CD33 expression levels, favorable cytogenetics (t(8;21), inv(16)/t(16;16), t(15;17)) and molecular alterations, such as NPM1, FLT3-internal tandem duplications and other signaling mutations, represent well-known candidates. Additionally, in depth analyses including minimal residual disease monitoring, stemness expression (LSC17 score), mutations or single nucleotide polymorphisms in GO pathway genes (CD33, ABCB1) and molecular-derived scores, such as the recently set up CD33_PGx6_Score, represent promising markers to enhance GO response prediction and improve patient management. |
format | Online Article Text |
id | pubmed-7460695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74606952020-09-03 Biomarkers of Gemtuzumab Ozogamicin Response for Acute Myeloid Leukemia Treatment Fenwarth, Laurène Fournier, Elise Cheok, Meyling Boyer, Thomas Gonzales, Fanny Castaigne, Sylvie Boissel, Nicolas Lambert, Juliette Dombret, Hervé Preudhomme, Claude Duployez, Nicolas Int J Mol Sci Review Gemtuzumab ozogamicin (GO, Mylotarg(®)) consists of a humanized CD33-targeted antibody-drug conjugated to a calicheamicin derivative. Growing evidence of GO efficacy in acute myeloid leukemia (AML), demonstrated by improved outcomes in CD33-positive AML patients across phase I to III clinical trials, led to the Food and Drug Administration (FDA) approval on 1 September 2017 in CD33-positive AML patients aged 2 years and older. Discrepancies in GO recipients outcome have raised significant efforts to characterize biomarkers predictive of GO response and have refined the subset of patients that may strongly benefit from GO. Among them, CD33 expression levels, favorable cytogenetics (t(8;21), inv(16)/t(16;16), t(15;17)) and molecular alterations, such as NPM1, FLT3-internal tandem duplications and other signaling mutations, represent well-known candidates. Additionally, in depth analyses including minimal residual disease monitoring, stemness expression (LSC17 score), mutations or single nucleotide polymorphisms in GO pathway genes (CD33, ABCB1) and molecular-derived scores, such as the recently set up CD33_PGx6_Score, represent promising markers to enhance GO response prediction and improve patient management. MDPI 2020-08-06 /pmc/articles/PMC7460695/ /pubmed/32781546 http://dx.doi.org/10.3390/ijms21165626 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Fenwarth, Laurène Fournier, Elise Cheok, Meyling Boyer, Thomas Gonzales, Fanny Castaigne, Sylvie Boissel, Nicolas Lambert, Juliette Dombret, Hervé Preudhomme, Claude Duployez, Nicolas Biomarkers of Gemtuzumab Ozogamicin Response for Acute Myeloid Leukemia Treatment |
title | Biomarkers of Gemtuzumab Ozogamicin Response for Acute Myeloid Leukemia Treatment |
title_full | Biomarkers of Gemtuzumab Ozogamicin Response for Acute Myeloid Leukemia Treatment |
title_fullStr | Biomarkers of Gemtuzumab Ozogamicin Response for Acute Myeloid Leukemia Treatment |
title_full_unstemmed | Biomarkers of Gemtuzumab Ozogamicin Response for Acute Myeloid Leukemia Treatment |
title_short | Biomarkers of Gemtuzumab Ozogamicin Response for Acute Myeloid Leukemia Treatment |
title_sort | biomarkers of gemtuzumab ozogamicin response for acute myeloid leukemia treatment |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460695/ https://www.ncbi.nlm.nih.gov/pubmed/32781546 http://dx.doi.org/10.3390/ijms21165626 |
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