Next Article in Journal
Metabolomics Comparison of Hanwoo (Bos taurus coreanae) Biofluids Using Proton Nuclear Magnetic Resonance Spectroscopy
Next Article in Special Issue
Fatty Acids and Membrane Lipidomics in Oncology: A Cross-Road of Nutritional, Signaling and Metabolic Pathways
Previous Article in Journal
Antibiotics Effects on the Fecal Metabolome in Preterm Infants
Previous Article in Special Issue
Lipidomic Profiling of the Epidermis in a Mouse Model of Dermatitis Reveals Sexual Dimorphism and Changes in Lipid Composition before the Onset of Clinical Disease
Open AccessReview

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

1
Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Colket Translational Research Center, 3501 Civic Center Blvd, PA 19104, USA
2
Analytical Pharmaceutical Chemistry, Department of Medicinal Chemistry, Uppsala University, Husarg. 3, 75123 Uppsala, Sweden
3
Spanish National Research Council (CSIC), Boecillo’s Technological Park Bureau, Av. Francisco Vallés 8, 47151 Boecillo, Spain
*
Author to whom correspondence should be addressed.
Metabolites 2020, 10(8), 332; https://doi.org/10.3390/metabo10080332
Received: 30 June 2020 / Revised: 12 August 2020 / Accepted: 12 August 2020 / Published: 14 August 2020
(This article belongs to the Special Issue Advances in Lipidomics: Biomedicine, Nutrients and Methodology)
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. View Full-Text
Keywords: immunotherapy; cancer; lipids; biomarkers; metabolism immunotherapy; cancer; lipids; biomarkers; metabolism
Show Figures

Figure 1

MDPI and ACS Style

Gil-de-Gómez, L.; Balgoma, D.; Montero, O. Lipidomic-Based Advances in Diagnosis and Modulation of Immune Response to Cancer. Metabolites 2020, 10, 332.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop