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Laubach et al. Cancer Drug Resist 2023;6:611-41                                  Cancer
               DOI: 10.20517/cdr.2023.60
                                                                                    Drug Resistance




               Review                                                                        Open Access



               Tumor-intrinsic metabolic reprogramming and how it
               drives resistance to anti-PD-1/PD-L1 treatment


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               Kyra Laubach , Tolga Turan , Rebecca Mathew , Julie Wilsbacher , John Engelhardt , Josue Samayoa 1
               1
                Computational Oncology, AbbVie, South San Francisco, CA 94080, USA.
               2
                Immuno-Oncology, AbbVie, South San Francisco, CA 94080, USA.
               3
                Immuno-Oncology, AbbVie, Lake County, IL 60064, USA.
               Correspondence to: Dr. Josue Samayoa, Computational Oncology, AbbVie, 1000 Gateway Blvd, South San Francisco, CA
               94080, USA. E-mail: josue.samayoa@abbvie.com; Dr. John Engelhardt, Immuno-Oncology, AbbVie, 1000 Gateway Blvd, South
               San Francisco, CA 94080, USA. E-mail: john.engelhardt@abbvie.com
               How to cite this article: Laubach K, Turan T, Mathew R, Wilsbacher J, Engelhardt J, Samayoa J. Tumor-intrinsic metabolic
               reprogramming and how it drives resistance to anti-PD-1/PD-L1 treatment. Cancer Drug Resist 2023;6:611-41. https://dx.doi.org/
               10.20517/cdr.2023.60
               Received: 13 Jun 2023  First Decision: 11 Jul 2023  Revised: 15 Aug 2023  Accepted: 29 Aug 2023  Published: 4 Sep 2023
               Academic Editors: Michael Lahn, Godefridus J. Peters  Copy Editor: Dong-Li Li  Production Editor: Dong-Li Li


               Abstract
               The development of immune checkpoint blockade (ICB) therapies has been instrumental in advancing the field of
               immunotherapy. Despite the prominence of these treatments, many patients exhibit primary or acquired
               resistance,  rendering  them  ineffective.  For  example,  anti-programmed  cell  death  protein  1  (anti-PD-1)/anti-
               programmed cell death ligand 1 (anti-PD-L1) treatments are widely utilized across a range of cancer indications,
               but the response rate is only 10%-30%. As such, it is necessary for researchers to identify targets and develop
               drugs that can be used in combination with existing ICB therapies to overcome resistance. The intersection  of
               cancer,  metabolism,  and  the  immune  system  has  gained  considerable  traction  in  recent  years  as  a way  to
               comprehensively  study  the  mechanisms  that  drive  oncogenesis,  immune  evasion,  and  immunotherapy
               resistance. As a result, new research is continuously emerging in support of targeting metabolic pathways as an
               adjuvant to ICB to boost patient response and overcome resistance. Due to the plethora of studies in recent years
               highlighting this notion, this review will integrate the relevant articles that demonstrate how tumor-derived
               alterations in energy, amino acid, and lipid metabolism dysregulate anti-tumor immune responses and drive
               resistance to anti-PD-1/PD-L1 therapy.


               Keywords: Immunotherapy resistance, tumor-immune microenvironment, immune checkpoint blockade, energy
               metabolism, amino acid metabolism, lipid metabolism





                           © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing,
                           adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as
               long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
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