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Zhao C, Zhang Y, Zhang J, Li S, Liu M, Geng Y, Liu F, Chai Q, Meng H, Li M, Li J, Zheng Y, Zhang Y. Discovery of Novel Fedratinib-Based HDAC/JAK/BRD4 Triple Inhibitors with Remarkable Antitumor Activity against Triple Negative Breast Cancer. J Med Chem 2023; 66:14150-14174. [PMID: 37796543 DOI: 10.1021/acs.jmedchem.3c01242] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
Multitarget HDAC inhibitors capable of simultaneously blocking the BRD4-LIFR-JAK1-STAT3 signaling pathway hold great potential for the treatment of TNBC and other solid tumors. Herein, novel Fedratinib-based multitarget HDAC inhibitors were rationally designed, synthesized, and biologically evaluated, among which compound 25ap stood out as a potent HDAC/JAK/BRD4 triple inhibitor. Satisfyingly, compound 25ap led to concurrent inhibition of HDACs and the BRD4-LIFR-JAK1-STAT3 signaling pathway, which was validated by hyper-acetylation of histone and α-tubulin, hypo-phosphorylation of STAT3, downregulation of LIFR, MCL-1, and c-Myc in MDA-MB-231 cells. The multitarget effects of 25ap contributed to its robust antitumor response, including potent antiproliferative activity, remarkable apoptosis-inducing activity, and inhibition of colony formation. Notably, 25ap possessed an acceptable therapeutic window between normal and cancerous cells, desirable in vitro metabolic stability in mouse microsome, and sufficient in vivo exposure via intraperitoneal administration. Additionally, the in vivo antitumor potency of 25ap was demonstrated in an MDA-MB-231 xenograft model.
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Affiliation(s)
- Chunlong Zhao
- Department of Medicinal Chemistry, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Ji'nan, Shandong 250012, P.R. China
| | - Yu Zhang
- Key Lab of Advanced Drug Preparation Technologies (Ministry of Education), State Key Laboratory of Esophageal Cancer Prevention & Treatment, Key Laboratory of Henan Province for Drug Quality and Evaluation, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, P.R. China
| | - Jin'ge Zhang
- Key Lab of Advanced Drug Preparation Technologies (Ministry of Education), State Key Laboratory of Esophageal Cancer Prevention & Treatment, Key Laboratory of Henan Province for Drug Quality and Evaluation, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, P.R. China
| | - Shunda Li
- Department of Medicinal Chemistry, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Ji'nan, Shandong 250012, P.R. China
| | - Mengyang Liu
- Key Lab of Advanced Drug Preparation Technologies (Ministry of Education), State Key Laboratory of Esophageal Cancer Prevention & Treatment, Key Laboratory of Henan Province for Drug Quality and Evaluation, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, P.R. China
| | - Yinping Geng
- Key Lab of Advanced Drug Preparation Technologies (Ministry of Education), State Key Laboratory of Esophageal Cancer Prevention & Treatment, Key Laboratory of Henan Province for Drug Quality and Evaluation, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, P.R. China
| | - Fengling Liu
- Department of Medicinal Chemistry, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Ji'nan, Shandong 250012, P.R. China
| | - Qipeng Chai
- Department of Medicinal Chemistry, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Ji'nan, Shandong 250012, P.R. China
| | - Hongwei Meng
- Department of Medicinal Chemistry, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Ji'nan, Shandong 250012, P.R. China
| | - Mengzhe Li
- Department of Medicinal Chemistry, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Ji'nan, Shandong 250012, P.R. China
| | - Jintao Li
- Department of Medicinal Chemistry, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Ji'nan, Shandong 250012, P.R. China
| | - Yichao Zheng
- Key Lab of Advanced Drug Preparation Technologies (Ministry of Education), State Key Laboratory of Esophageal Cancer Prevention & Treatment, Key Laboratory of Henan Province for Drug Quality and Evaluation, School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, P.R. China
| | - Yingjie Zhang
- Department of Medicinal Chemistry, Key Laboratory of Chemical Biology (Ministry of Education), School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Ji'nan, Shandong 250012, P.R. China
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A Comprehensive Overview of Globally Approved JAK Inhibitors. Pharmaceutics 2022; 14:pharmaceutics14051001. [PMID: 35631587 PMCID: PMC9146299 DOI: 10.3390/pharmaceutics14051001] [Citation(s) in RCA: 80] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 04/22/2022] [Accepted: 04/28/2022] [Indexed: 11/16/2022] Open
Abstract
Janus kinase (JAK) is a family of cytoplasmic non-receptor tyrosine kinases that includes four members, namely JAK1, JAK2, JAK3, and TYK2. The JAKs transduce cytokine signaling through the JAK-STAT pathway, which regulates the transcription of several genes involved in inflammatory, immune, and cancer conditions. Targeting the JAK family kinases with small-molecule inhibitors has proved to be effective in the treatment of different types of diseases. In the current review, eleven of the JAK inhibitors that received approval for clinical use have been discussed. These drugs are abrocitinib, baricitinib, delgocitinib, fedratinib, filgotinib, oclacitinib, pacritinib, peficitinib, ruxolitinib, tofacitinib, and upadacitinib. The aim of the current review was to provide an integrated overview of the chemical and pharmacological data of the globally approved JAK inhibitors. The synthetic routes of the eleven drugs were described. In addition, their inhibitory activities against different kinases and their pharmacological uses have also been explained. Moreover, their crystal structures with different kinases were summarized, with a primary focus on their binding modes and interactions. The proposed metabolic pathways and metabolites of these drugs were also illustrated. To sum up, the data in the current review could help in the design of new JAK inhibitors with potential therapeutic benefits in inflammatory and autoimmune diseases.
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A novel activating JAK1 mutation in chronic eosinophilic leukemia. Blood Adv 2021; 5:3581-3586. [PMID: 34496019 DOI: 10.1182/bloodadvances.2021004237] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 06/02/2021] [Indexed: 01/08/2023] Open
Abstract
Hypereosinophilia (HE) has been defined as persistent eosinophilia >1.5 × 109/L; it is broadly divided into primary HE (clonal or neoplastic; HEN), secondary/reactive HE (HER), or HE of undetermined significance (HEUS) when no cause is identified. The use of myeloid next-generation sequencing (NGS) panels has led to the detection of several mutations in patients previously diagnosed with HEUS, reassigning some patients to the category of HEN, specifically the World Health Organization category of chronic eosinophilic leukemia, not otherwise specified (CEL, NOS). Here, we describe a novel somatic JAK1 pseudokinase domain mutation (R629_S632delinsSA) in a patient with HE that had initially been characterized as a variant of uncertain significance. We performed functional studies that demonstrated that this mutation results in growth factor independence of Ba/F3 cells in vitro and activation of the JAK-STAT pathway. These effects were abrogated by the JAK1/JAK2 inhibitor ruxolitinib. R629_S632delinsSA is the first known somatic mutation in JAK1 linked to a clonal eosinophilic neoplasm, and highlights the importance of the JAK-STAT pathway in eosinophil survival.
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Wang J, Wu Y, Uddin MN, Chen R, Hao JP. Identification of Potential Key Genes and Regulatory Markers in Essential Thrombocythemia Through Integrated Bioinformatics Analysis and Clinical Validation. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:767-784. [PMID: 34267539 PMCID: PMC8275175 DOI: 10.2147/pgpm.s309166] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 06/16/2021] [Indexed: 12/11/2022]
Abstract
Introduction Essential thrombocytosis (ET) is a group of myeloproliferative neoplasms characterized by abnormal proliferation of platelet and megakaryocytes. Research on potential key genes and novel regulatory markers in essential thrombocythemia (ET) is still limited. Methods Downloading array profiles from the Gene Expression Omnibus database, we identified the differentially expressed genes (DEGs) through comprehensive bioinformatic analysis. GO, and REACTOME pathway enrichment analysis was used to predict the potential functions of DEGs. Besides, constructing a protein–protein interaction (PPI) network through the STRING database, we validated the expression level of hub genes in an independent cohort of ET, and the transcription factors (TFs) were detected in the regulatory networks of TFs and DEGs. And the candidate drugs that are targeting hub genes were identified using the DGIdb database. Results We identified 63 overlap DEGs that included 21 common up-regulated and 42 common down-regulated genes from two datasets. Functional enrichment analysis shows that the DEGs are mainly enriched in the immune system and inflammatory processes. Through PPI network analysis, ACTB, PTPRC, ACTR2, FYB, STAT1, ETS1, IL7R, IKZF1, FGL2, and CTSS were selected as hub genes. Interestingly, we found that the dysregulated hub genes are also aberrantly expressed in a bone marrow cohort of ET. Moreover, we found that the expression of CTSS, FGL2, IKZF1, STAT1, FYB, ACTR2, PTPRC, and ACTB genes were significantly under-expressed in ET (P<0.05), which is consistent with our bioinformatics analysis. The ROC curve analysis also shows that these hub genes have good diagnostic value. Besides, we identified 4 TFs (SPI1, IRF4, SRF, and AR) as master transcriptional regulators that were associated with regulating the DEGs in ET. Cyclophosphamide, prednisone, fluorouracil, ruxolitinib, and lenalidomide were predicted as potential candidate drugs for the treatment of ET. Discussion These dysregulated genes and predicted key regulators had a significant relationship with the occurrence of ET with affecting the immune system and inflammation of the processes. Some of the immunomodulatory drugs have potential value by targeting ACTB, PTPRC, IL7R, and IKZF1 genes in the treatment of ET.
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Affiliation(s)
- Jie Wang
- Department of Pharmacy, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, People's Republic of China.,School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, People's Republic of China
| | - Yun Wu
- Department of General Medicine, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, People's Republic of China
| | - Md Nazim Uddin
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, People's Republic of China.,Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, 1205, Bangladesh
| | - Rong Chen
- Department of Hematology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, People's Republic of China
| | - Jian-Ping Hao
- Department of Hematology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, People's Republic of China
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Untwining Anti-Tumor and Immunosuppressive Effects of JAK Inhibitors-A Strategy for Hematological Malignancies? Cancers (Basel) 2021; 13:cancers13112611. [PMID: 34073410 PMCID: PMC8197909 DOI: 10.3390/cancers13112611] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 05/18/2021] [Accepted: 05/22/2021] [Indexed: 01/02/2023] Open
Abstract
Simple Summary The Janus kinase-signal transducer and activator of transcription (JAK-STAT) pathway is aberrantly activated in many malignancies. Inhibition of this pathway via JAK inhibitors (JAKinibs) is therefore an attractive therapeutic strategy underlined by Ruxolitinib (JAK1/2 inhibitor) being approved for the treatment of myeloproliferative neoplasms. As a consequence of the crucial role of the JAK-STAT pathway in the regulation of immune responses, inhibition of JAKs suppresses the immune system. This review article provides a thorough overview of the current knowledge on JAKinibs’ effects on immune cells in the context of hematological malignancies. We also discuss the potential use of JAKinibs for the treatment of diseases in which lymphocytes are the source of the malignancy. Abstract The Janus kinase-signal transducer and activator of transcription (JAK-STAT) pathway propagates signals from a variety of cytokines, contributing to cellular responses in health and disease. Gain of function mutations in JAKs or STATs are associated with malignancies, with JAK2V617F being the main driver mutation in myeloproliferative neoplasms (MPN). Therefore, inhibition of this pathway is an attractive therapeutic strategy for different types of cancer. Numerous JAK inhibitors (JAKinibs) have entered clinical trials, including the JAK1/2 inhibitor Ruxolitinib approved for the treatment of MPN. Importantly, loss of function mutations in JAK-STAT members are a cause of immune suppression or deficiencies. MPN patients undergoing Ruxolitinib treatment are more susceptible to infections and secondary malignancies. This highlights the suppressive effects of JAKinibs on immune responses, which renders them successful in the treatment of autoimmune diseases but potentially detrimental for cancer patients. Here, we review the current knowledge on the effects of JAKinibs on immune cells in the context of hematological malignancies. Furthermore, we discuss the potential use of JAKinibs for the treatment of diseases in which lymphocytes are the source of malignancies. In summary, this review underlines the necessity of a robust immune profiling to provide the best benefit for JAKinib-treated patients.
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Elkoshi Z. The Binary Classification of Protein Kinases. J Inflamm Res 2021; 14:929-947. [PMID: 33776467 PMCID: PMC7988341 DOI: 10.2147/jir.s303750] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 02/24/2021] [Indexed: 12/14/2022] Open
Abstract
In an earlier publication a binary model for chronic diseases classification has been proposed. According to the model, chronic diseases were classified as “high Treg” or “low Treg” diseases, depending on whether the immune response is anti- or pro-inflammatory and assuming that regulatory T cells are major determinants of the response. It turned out that most cancers are “high Treg” diseases, while autoimmune diseases are “low Treg”. This paper proposes a molecular cause for this binary response. The mechanism proposed depends on the effect of protein kinases on the immune system. Thus, protein kinases are classified as anti- or pro-inflammatory kinases depending on whether they drive “high Treg” or “low Treg” diseases. Observations reported in the earlier publication can be described in terms of anti-inflammatory kinase (AIK) or pro-inflammatory kinase (PIK) activity. Analysis of literature data reveals that the two classes of kinases display distinctive properties relating to their interactions with pathogens and environmental factors. Pathogens that promote Treg activity (“high Treg” pathogens) activate AIKs, while pathogens that suppress Treg activity (“low Treg” pathogens) activate PIKs. Diseases driven by AIKs are associated with “high Treg” pathogens while those diseases driven by PIKs are associated with “low Treg” pathogens. By promoting the activity of AIKs, alcohol consumption increases the risk of “high Treg” cancers but decreases the risk of some “low Treg” autoimmune diseases. JAK1 gain-of-function mutations are observed at high frequencies in autoimmune diseases while JAK1 loss-of-function mutations are observed at high frequencies in cancers with high tumor-infiltrating Tregs. It should also be noted that the corresponding two classes of protein kinase inhibitors are mutually exclusive in terms of their approved therapeutic indications. There is no protein kinase inhibitor that is approved for the treatment of both autoimmune diseases and “high Treg” cancers. Although there are exceptions to the conclusions presented above, these conclusions are supported by the great bulk of published data. It therefore seems that the binary division of protein kinases is a useful tool for elucidating (at the molecular level) many distinctive properties of cancers and autoimmune diseases.
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Affiliation(s)
- Zeev Elkoshi
- Research and Development Department, Taro Pharmaceutical Industries Ltd, Haifa, Israel
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Wang TT, Yang J, Dighe S, Schmachtenberg MW, Leigh NT, Farber E, Onengut-Gumuscu S, Feith DJ, Ratan A, Loughran TP, Olson TL. Whole Genome Sequencing of Spontaneously Occurring Rat Natural Killer Large Granular Lymphocyte Leukemia Identifies JAK1 Somatic Activating Mutation. Cancers (Basel) 2020; 12:cancers12010126. [PMID: 31947841 PMCID: PMC7017127 DOI: 10.3390/cancers12010126] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 12/20/2019] [Accepted: 12/25/2019] [Indexed: 02/08/2023] Open
Abstract
Large granular lymphocyte (LGL) leukemia arises spontaneously in elderly Fischer (F344) rats. This rodent model has been shown to emulate many aspects of the natural killer (NK) variant of human LGL leukemia. Previous transplantation of leukemic material into young F344 rats resulted in several strains of rat NK (RNK) primary leukemic cells. One strain, RNK-16, was adapted into the RNK-16 cell line and established as an aggressive NK-LGL leukemia model. Whole genome sequencing of the RNK-16 cell line identified 255,838 locations where the RNK16 had an alternate allele that was different from F334, including a mutation in Jak1. Functional studies showed Jak1 Y1034C to be a somatic activating mutation that mediated increased STAT signaling, as assessed by phosphoprotein levels. Sanger sequencing of Jak1 in RNK-1, -3, -7, and -16 found only RNK-16 to harbor the Y1034C Jak1 mutation. In vivo studies revealed that rats engrafted with RNK-16 primary material developed leukemia more rapidly than those engrafted with RNK-1, -3, and -7. Additionally, ex vivo RNK-16 spleen cells from leukemic rats exhibited increased STAT1, STAT3, and STAT5 phosphorylation compared to other RNK strains. Therefore, we report and characterize a novel gain-of-function Jak1 mutation in a spontaneous LGL leukemia model that results in increased downstream STAT signaling.
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Affiliation(s)
- T. Tiffany Wang
- Department of Medicine and University of Virginia Cancer Center, Division of Hematology & Oncology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA; (T.T.W.); (J.Y.); (S.D.); (M.W.S.); (N.T.L.); (D.J.F.)
| | - Jun Yang
- Department of Medicine and University of Virginia Cancer Center, Division of Hematology & Oncology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA; (T.T.W.); (J.Y.); (S.D.); (M.W.S.); (N.T.L.); (D.J.F.)
| | - Shubha Dighe
- Department of Medicine and University of Virginia Cancer Center, Division of Hematology & Oncology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA; (T.T.W.); (J.Y.); (S.D.); (M.W.S.); (N.T.L.); (D.J.F.)
| | - Matthew W. Schmachtenberg
- Department of Medicine and University of Virginia Cancer Center, Division of Hematology & Oncology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA; (T.T.W.); (J.Y.); (S.D.); (M.W.S.); (N.T.L.); (D.J.F.)
| | - Nathan T. Leigh
- Department of Medicine and University of Virginia Cancer Center, Division of Hematology & Oncology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA; (T.T.W.); (J.Y.); (S.D.); (M.W.S.); (N.T.L.); (D.J.F.)
| | - Emily Farber
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA; (E.F.); (S.O.-G.); (A.R.)
| | - Suna Onengut-Gumuscu
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA; (E.F.); (S.O.-G.); (A.R.)
| | - David J. Feith
- Department of Medicine and University of Virginia Cancer Center, Division of Hematology & Oncology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA; (T.T.W.); (J.Y.); (S.D.); (M.W.S.); (N.T.L.); (D.J.F.)
| | - Aakrosh Ratan
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA; (E.F.); (S.O.-G.); (A.R.)
| | - Thomas P. Loughran
- Department of Medicine and University of Virginia Cancer Center, Division of Hematology & Oncology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA; (T.T.W.); (J.Y.); (S.D.); (M.W.S.); (N.T.L.); (D.J.F.)
| | - Thomas L. Olson
- Department of Medicine and University of Virginia Cancer Center, Division of Hematology & Oncology, University of Virginia School of Medicine, Charlottesville, VA 22908, USA; (T.T.W.); (J.Y.); (S.D.); (M.W.S.); (N.T.L.); (D.J.F.)
- Correspondence: ; Tel.: +1-(434)-243-8332
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Ramapriyan R, Caetano MS, Barsoumian HB, Mafra ACP, Zambalde EP, Menon H, Tsouko E, Welsh JW, Cortez MA. Altered cancer metabolism in mechanisms of immunotherapy resistance. Pharmacol Ther 2018; 195:162-171. [PMID: 30439456 DOI: 10.1016/j.pharmthera.2018.11.004] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Many metabolic alterations, including the Warburg effect, occur in cancer cells that influence the tumor microenvironment, including switching to glycolysis from oxidative phosphorylation, using opportunistic modes of nutrient acquisition, and increasing lipid biosynthesis. The altered metabolic landscape of the tumor microenvironment can suppress the infiltration of immune cells and other functions of antitumor immunity through the production of immune-suppressive metabolites. Metabolic dysregulation in cancer cells further affects the expression of cell surface markers, which interferes with immune surveillance. Immune checkpoint therapies have revolutionized the standard of care for some patients with cancer, but disease in many others is resistant to immunotherapy. Specific metabolic pathways involved in immunotherapy resistance include PI3K-Akt-mTOR, hypoxia-inducible factor (HIF), adenosine, JAK/STAT, and Wnt/Beta-catenin. Depletion of essential amino acids such as glutamine and tryptophan and production of metabolites like kynurenine in the tumor microenvironment also blunt immune cell function. Targeted therapies against metabolic checkpoints could work in synergy with immune checkpoint therapy. This combined strategy could be refined by profiling patients' mutation status before treatment and identifying the optimal sequencing of therapies. This personalized combinatorial approach, which has yet to be explored, may well pave the way for overcoming resistance to immunotherapy.
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Affiliation(s)
- Rishab Ramapriyan
- Departments of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Mauricio S Caetano
- Departments of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Hampartsoum B Barsoumian
- Departments of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Ana Carolina P Mafra
- Departments of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Erika Pereira Zambalde
- Departments of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Hari Menon
- Departments of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Efrosini Tsouko
- Department of Orthopedic Surgery, Baylor College of Medicine, Houston, TX, United States
| | - James W Welsh
- Departments of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Maria Angelica Cortez
- Departments of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
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Xiao W, Rampal R, Zhang Y, Cimera R, Jungbluth AA, Arcila M, Roshal M, Park DC. JAK/MAP kinase pathway activation and TP53 mutations in acute leukemia with megakaryocytic and erythroid differentiation. Leukemia 2018; 32:1842-1845. [PMID: 29743724 DOI: 10.1038/s41375-018-0145-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Revised: 04/02/2018] [Accepted: 04/11/2018] [Indexed: 01/14/2023]
Affiliation(s)
- Wenbin Xiao
- Hematopathology Diagnostic Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Raajit Rampal
- Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yanming Zhang
- Cytogenetic Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Robert Cimera
- Cytogenetic Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Achim A Jungbluth
- Hematopathology Diagnostic Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria Arcila
- Diagnostic Molecular Laboratory, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mikhail Roshal
- Hematopathology Diagnostic Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David C Park
- Hematopathology Diagnostic Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Pathology, Columbia University Medical Center, New York, NY, USA
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