Lipidomic-Based Advances in Diagnosis and Modulation of Immune Response to Cancer

While immunotherapies for diverse types of cancer are effective in many cases, relapse is still a lingering problem. Like tumor cells, activated immune cells have an anabolic metabolic profile, relying on glycolysis and the increased uptake and synthesis of fatty acids. In contrast, immature antigen...

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Main Authors: Luis Gil-de-Gómez, David Balgoma, Olimpio Montero
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Metabolites
Subjects:
Online Access:https://www.mdpi.com/2218-1989/10/8/332
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spelling doaj-9efbb62f9db64d99abbe34f87d579a5f2020-11-25T03:36:02ZengMDPI AGMetabolites2218-19892020-08-011033233210.3390/metabo10080332Lipidomic-Based Advances in Diagnosis and Modulation of Immune Response to CancerLuis Gil-de-Gómez0David Balgoma1Olimpio Montero2Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Colket Translational Research Center, 3501 Civic Center Blvd, PA 19104, USAAnalytical Pharmaceutical Chemistry, Department of Medicinal Chemistry, Uppsala University, Husarg. 3, 75123 Uppsala, SwedenSpanish National Research Council (CSIC), Boecillo’s Technological Park Bureau, Av. Francisco Vallés 8, 47151 Boecillo, SpainWhile immunotherapies for diverse types of cancer are effective in many cases, relapse is still a lingering problem. Like tumor cells, activated immune cells have an anabolic metabolic profile, relying on glycolysis and the increased uptake and synthesis of fatty acids. In contrast, immature antigen-presenting cells, as well as anergic and exhausted T-cells have a catabolic metabolic profile that uses oxidative phosphorylation to provide energy for cellular processes. One goal for enhancing current immunotherapies is to identify metabolic pathways supporting the immune response to tumor antigens. A robust cell expansion and an active modulation via immune checkpoints and cytokine release are required for effective immunity. Lipids, as one of the main components of the cell membrane, are the key regulators of cell signaling and proliferation. Therefore, lipid metabolism reprogramming may impact proliferation and generate dysfunctional immune cells promoting tumor growth. Based on lipid-driven signatures, the discrimination between responsiveness and tolerance to tumor cells will support the development of accurate biomarkers and the identification of potential therapeutic targets. These findings may improve existing immunotherapies and ultimately prevent immune escape in patients for whom existing treatments have failed.https://www.mdpi.com/2218-1989/10/8/332immunotherapycancerlipidsbiomarkersmetabolism
collection DOAJ
language English
format Article
sources DOAJ
author Luis Gil-de-Gómez
David Balgoma
Olimpio Montero
spellingShingle Luis Gil-de-Gómez
David Balgoma
Olimpio Montero
Lipidomic-Based Advances in Diagnosis and Modulation of Immune Response to Cancer
Metabolites
immunotherapy
cancer
lipids
biomarkers
metabolism
author_facet Luis Gil-de-Gómez
David Balgoma
Olimpio Montero
author_sort Luis Gil-de-Gómez
title Lipidomic-Based Advances in Diagnosis and Modulation of Immune Response to Cancer
title_short Lipidomic-Based Advances in Diagnosis and Modulation of Immune Response to Cancer
title_full Lipidomic-Based Advances in Diagnosis and Modulation of Immune Response to Cancer
title_fullStr Lipidomic-Based Advances in Diagnosis and Modulation of Immune Response to Cancer
title_full_unstemmed Lipidomic-Based Advances in Diagnosis and Modulation of Immune Response to Cancer
title_sort lipidomic-based advances in diagnosis and modulation of immune response to cancer
publisher MDPI AG
series Metabolites
issn 2218-1989
publishDate 2020-08-01
description While immunotherapies for diverse types of cancer are effective in many cases, relapse is still a lingering problem. Like tumor cells, activated immune cells have an anabolic metabolic profile, relying on glycolysis and the increased uptake and synthesis of fatty acids. In contrast, immature antigen-presenting cells, as well as anergic and exhausted T-cells have a catabolic metabolic profile that uses oxidative phosphorylation to provide energy for cellular processes. One goal for enhancing current immunotherapies is to identify metabolic pathways supporting the immune response to tumor antigens. A robust cell expansion and an active modulation via immune checkpoints and cytokine release are required for effective immunity. Lipids, as one of the main components of the cell membrane, are the key regulators of cell signaling and proliferation. Therefore, lipid metabolism reprogramming may impact proliferation and generate dysfunctional immune cells promoting tumor growth. Based on lipid-driven signatures, the discrimination between responsiveness and tolerance to tumor cells will support the development of accurate biomarkers and the identification of potential therapeutic targets. These findings may improve existing immunotherapies and ultimately prevent immune escape in patients for whom existing treatments have failed.
topic immunotherapy
cancer
lipids
biomarkers
metabolism
url https://www.mdpi.com/2218-1989/10/8/332
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AT olimpiomontero lipidomicbasedadvancesindiagnosisandmodulationofimmuneresponsetocancer
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