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Predictive markers for efficiency of the amino-acid deprivation therapies in cancer
Amino acid deprivation therapy (AADT) is a promising strategy for developing novel anticancer treatments, based on variations in metabolism of healthy and malignant cells. L-asparaginase was the first amino acid-degrading enzyme that received FDA approval for the treatment of acute lymphoblastic leu...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669297/ https://www.ncbi.nlm.nih.gov/pubmed/36405587 http://dx.doi.org/10.3389/fmed.2022.1035356 |
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author | Pokrovsky, Vadim S. Abo Qoura, Louay Morozova, Elena Bunik, Victoria I. |
author_facet | Pokrovsky, Vadim S. Abo Qoura, Louay Morozova, Elena Bunik, Victoria I. |
author_sort | Pokrovsky, Vadim S. |
collection | PubMed |
description | Amino acid deprivation therapy (AADT) is a promising strategy for developing novel anticancer treatments, based on variations in metabolism of healthy and malignant cells. L-asparaginase was the first amino acid-degrading enzyme that received FDA approval for the treatment of acute lymphoblastic leukemia (ALL). Arginase and arginine deiminase were effective in clinical trials for the treatment of metastatic melanomas and hepatocellular carcinomas. Essential dependence of certain cancer cells on methionine explains the anticancer efficacy of methionine-g-lyase. Along with significant progress in identification of metabolic vulnerabilities of cancer cells, new amino acid-cleaving enzymes appear as promising agents for cancer treatment: lysine oxidase, tyrosine phenol-lyase, cysteinase, and phenylalanine ammonia-lyase. However, sensitivity of specific cancer cell types to these enzymes differs. Hence, search for prognostic and predictive markers for AADT and introduction of the markers into clinical practice are of great importance for translational medicine. As specific metabolic pathways in cancer cells are determined by the enzyme expression, some of these enzymes may define the sensitivity to AADT. This review considers the known predictors for efficiency of AADT, emphasizing the importance of knowledge on cancer-specific amino acid significance for such predictions. |
format | Online Article Text |
id | pubmed-9669297 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96692972022-11-18 Predictive markers for efficiency of the amino-acid deprivation therapies in cancer Pokrovsky, Vadim S. Abo Qoura, Louay Morozova, Elena Bunik, Victoria I. Front Med (Lausanne) Medicine Amino acid deprivation therapy (AADT) is a promising strategy for developing novel anticancer treatments, based on variations in metabolism of healthy and malignant cells. L-asparaginase was the first amino acid-degrading enzyme that received FDA approval for the treatment of acute lymphoblastic leukemia (ALL). Arginase and arginine deiminase were effective in clinical trials for the treatment of metastatic melanomas and hepatocellular carcinomas. Essential dependence of certain cancer cells on methionine explains the anticancer efficacy of methionine-g-lyase. Along with significant progress in identification of metabolic vulnerabilities of cancer cells, new amino acid-cleaving enzymes appear as promising agents for cancer treatment: lysine oxidase, tyrosine phenol-lyase, cysteinase, and phenylalanine ammonia-lyase. However, sensitivity of specific cancer cell types to these enzymes differs. Hence, search for prognostic and predictive markers for AADT and introduction of the markers into clinical practice are of great importance for translational medicine. As specific metabolic pathways in cancer cells are determined by the enzyme expression, some of these enzymes may define the sensitivity to AADT. This review considers the known predictors for efficiency of AADT, emphasizing the importance of knowledge on cancer-specific amino acid significance for such predictions. Frontiers Media S.A. 2022-11-03 /pmc/articles/PMC9669297/ /pubmed/36405587 http://dx.doi.org/10.3389/fmed.2022.1035356 Text en Copyright © 2022 Pokrovsky, Abo Qoura, Morozova and Bunik. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Pokrovsky, Vadim S. Abo Qoura, Louay Morozova, Elena Bunik, Victoria I. Predictive markers for efficiency of the amino-acid deprivation therapies in cancer |
title | Predictive markers for efficiency of the amino-acid deprivation therapies in cancer |
title_full | Predictive markers for efficiency of the amino-acid deprivation therapies in cancer |
title_fullStr | Predictive markers for efficiency of the amino-acid deprivation therapies in cancer |
title_full_unstemmed | Predictive markers for efficiency of the amino-acid deprivation therapies in cancer |
title_short | Predictive markers for efficiency of the amino-acid deprivation therapies in cancer |
title_sort | predictive markers for efficiency of the amino-acid deprivation therapies in cancer |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9669297/ https://www.ncbi.nlm.nih.gov/pubmed/36405587 http://dx.doi.org/10.3389/fmed.2022.1035356 |
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