401
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Chong G, Zang J, Han Y, Su R, Weeranoppanant N, Dong H, Li Y. Bioengineering of nano metal-organic frameworks for cancer immunotherapy. NANO RESEARCH 2020; 14:1244-1259. [PMID: 33250971 PMCID: PMC7686557 DOI: 10.1007/s12274-020-3179-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 10/01/2020] [Accepted: 10/10/2020] [Indexed: 05/23/2023]
Abstract
Immunotherapy techniques, such as immune checkpoint inhibitors, chimeric antigen receptor (CAR) T cell therapies and cancer vaccines, have been burgeoning with great success, particularly for specific cancer types. However, side effects with fatal risks, dysfunction in tumor microenvironment and low immune response rates remain the bottlenecks in immunotherapy. Nano metal-organic frameworks (nMOFs), with an accurate structure and a narrow size distribution, are emerging as a solution to these problems. In addition to their function of temporospatial delivery, a large library of their compositions, together with flexibility in chemical interaction and inherent immune efficacy, offers opportunities for various designs of nMOFs for immunotherapy. In this review, we overview state-of-the-art research on nMOFs-based immunotherapies as well as their combination with other therapies. We demonstrate that nMOFs are predominantly customized for vaccine delivery or tumor-microenvironment modulation. Finally, a prospect of nMOFs in cancer immunotherapy will be discussed.
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Affiliation(s)
- Gaowei Chong
- Shanghai Tenth People’s Hospital, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200092 China
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopaedic Department of Tongji Hospital, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 China
| | - Jie Zang
- Shanghai Tenth People’s Hospital, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200092 China
| | - Yi Han
- Shanghai Tenth People’s Hospital, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200092 China
| | - Runping Su
- Shanghai Tenth People’s Hospital, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200092 China
| | - Nopphon Weeranoppanant
- Department of Chemical Engineering, Burapha University, 169 Longhard Bangsaen, Saensook, Chonburi, 20131 Thailand
- School of Biomolecular Science and Engineering (BSE), Vidyasirimedhi Institute of Science and Technology (VISTEC), 555 Moo 1 Payupnai, Wangchan, 21210 Thailand
| | - Haiqing Dong
- Shanghai Tenth People’s Hospital, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200092 China
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Orthopaedic Department of Tongji Hospital, Tongji University School of Medicine, 389 Xincun Road, Shanghai, 200065 China
| | - Yongyong Li
- Shanghai Tenth People’s Hospital, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200092 China
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402
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Zeng C, Tang H, Chen H, Li M, Xiong D. Ferroptosis: a new approach for immunotherapy. Cell Death Discov 2020; 6:122. [PMID: 33298853 PMCID: PMC7665172 DOI: 10.1038/s41420-020-00355-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 10/13/2020] [Accepted: 10/14/2020] [Indexed: 01/13/2023] Open
Affiliation(s)
- Chong Zeng
- Medical Research Center, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Jiazi Road No.1, Lunjiao Street., Foshan, 528308, Guangdong, China.
| | - Hongfeng Tang
- Department of Dermatology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Jiazi Road No.1, Lunjiao Street., Foshan, 528308, Guangdong, China
| | - Hanwen Chen
- Department of Anesthesiology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Jiazi Road No.1, Lunjiao Street., Foshan, 528308, Guangdong, China
| | - Mojuan Li
- Department of Obstetrics and Gynecology, Nanhai Hospital Affiliated to Southern Medical University, Foping Road No.40., Foshan, 528200, Guangdong, China
| | - Dan Xiong
- Departments of Hematology, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Jiazi Road No.1, Lunjiao Street., Foshan, 528308, Guangdong, China.
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403
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Liu X, Bao X, Hu M, Chang H, Jiao M, Cheng J, Xie L, Huang Q, Li F, Li CY. Inhibition of PCSK9 potentiates immune checkpoint therapy for cancer. Nature 2020; 588:693-698. [PMID: 33177715 PMCID: PMC7770056 DOI: 10.1038/s41586-020-2911-7] [Citation(s) in RCA: 230] [Impact Index Per Article: 57.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Accepted: 08/24/2020] [Indexed: 02/06/2023]
Abstract
Despite its success in achieving the long-term survival of 10-30% of treated individuals, immune therapy is still ineffective for most patients with cancer1,2. Many efforts are therefore underway to identify new approaches that enhance such immune 'checkpoint' therapy3-5 (so called because its aim is to block proteins that inhibit checkpoint signalling pathways in T cells, thereby freeing those immune cells to target cancer cells). Here we show that inhibiting PCSK9-a key protein in the regulation of cholesterol metabolism6-8-can boost the response of tumours to immune checkpoint therapy, through a mechanism that is independent of PCSK9's cholesterol-regulating functions. Deleting the PCSK9 gene in mouse cancer cells substantially attenuates or prevents their growth in mice in a manner that depends on cytotoxic T cells. It also enhances the efficacy of immune therapy that is targeted at the checkpoint protein PD1. Furthermore, clinically approved PCSK9-neutralizing antibodies synergize with anti-PD1 therapy in suppressing tumour growth in mouse models of cancer. Inhibiting PCSK9-either through genetic deletion or using PCSK9 antibodies-increases the expression of major histocompatibility protein class I (MHC I) proteins on the tumour cell surface, promoting robust intratumoral infiltration of cytotoxic T cells. Mechanistically, we find that PCSK9 can disrupt the recycling of MHC I to the cell surface by associating with it physically and promoting its relocation and degradation in the lysosome. Together, these results suggest that inhibiting PCSK9 is a promising way to enhance immune checkpoint therapy for cancer.
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Affiliation(s)
- Xinjian Liu
- Department of Dermatology, Duke University Medical Center, Durham, NC, USA.,Department of Biochemistry, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Xuhui Bao
- Department of Dermatology, Duke University Medical Center, Durham, NC, USA
| | - Mengjie Hu
- Department of Dermatology, Duke University Medical Center, Durham, NC, USA
| | - Hanman Chang
- Department of Dermatology, Duke University Medical Center, Durham, NC, USA
| | - Meng Jiao
- Department of Dermatology, Duke University Medical Center, Durham, NC, USA
| | - Jin Cheng
- Molecular Diagnostic Laboratory of Cancer Center, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Liyi Xie
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Qian Huang
- Molecular Diagnostic Laboratory of Cancer Center, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Fang Li
- Department of Dermatology, Duke University Medical Center, Durham, NC, USA
| | - Chuan-Yuan Li
- Department of Dermatology, Duke University Medical Center, Durham, NC, USA. .,Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC, USA. .,Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA.
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404
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Drijvers JM, Sharpe AH, Haigis MC. The effects of age and systemic metabolism on anti-tumor T cell responses. eLife 2020; 9:e62420. [PMID: 33170123 PMCID: PMC7655106 DOI: 10.7554/elife.62420] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 10/29/2020] [Indexed: 12/12/2022] Open
Abstract
Average age and obesity prevalence are increasing globally. Both aging and obesity are characterized by profound systemic metabolic and immunologic changes and are cancer risk factors. The mechanisms linking age and body weight to cancer are incompletely understood, but recent studies have provided evidence that the anti-tumor immune response is reduced in both conditions, while responsiveness to immune checkpoint blockade, a form of cancer immunotherapy, is paradoxically intact. Dietary restriction, which promotes health and lifespan, may enhance cancer immunity. These findings illustrate that the systemic context can impact anti-tumor immunity and immunotherapy responsiveness. Here, we review the current knowledge of how age and systemic metabolic state affect the anti-tumor immune response, with an emphasis on CD8+ T cells, which are key players in anti-tumor immunity. A better understanding of the underlying mechanisms may lead to novel therapies enhancing anti-tumor immunity in the context of aging or metabolic dysfunction.
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Affiliation(s)
- Jefte M Drijvers
- Department of Immunology, Blavatnik Institute and Ludwig Center at Harvard, Harvard Medical SchoolBostonUnited States
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women’s HospitalBostonUnited States
- Department of Cell Biology, Blavatnik Institute and Ludwig Center at Harvard, Harvard Medical SchoolBostonUnited States
| | - Arlene H Sharpe
- Department of Immunology, Blavatnik Institute and Ludwig Center at Harvard, Harvard Medical SchoolBostonUnited States
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women’s HospitalBostonUnited States
| | - Marcia C Haigis
- Department of Cell Biology, Blavatnik Institute and Ludwig Center at Harvard, Harvard Medical SchoolBostonUnited States
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405
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Kopecka J, Godel M, Riganti C. Cholesterol metabolism: At the cross road between cancer cells and immune environment. Int J Biochem Cell Biol 2020; 129:105876. [PMID: 33166677 DOI: 10.1016/j.biocel.2020.105876] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/22/2020] [Accepted: 10/25/2020] [Indexed: 12/27/2022]
Abstract
Mevalonate pathway is a highly conserved pathway that produces isoprenoids and cholesterol, and it is often increased in cancer cells. Cholesterol, upstream metabolites including isoprenoids and cholesterol derivatives such as oxysterols modulate cell proliferation, motility, stemness and drug resistance. Moreover, when produced by cancer cells or immune infiltrating cells, they modulate the activity of immune populations of the tumor microenvironment. In this review, we will focus on the recent findings demonstrating that cholesterol derivatives may regulate tumor immune recognition or immune escape, playing a critical role in the immune surveillance. Since the mevalonate pathway is druggable, a deeper knowledge of the metabolic cross talks existing between the mevalonate pathway of cancer cells and immune cells may help to identify novel agents targeting cholesterol metabolism, able to boost the anti-tumor activity of the immune populations.
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Affiliation(s)
- Joanna Kopecka
- Department of Oncology, University of Torino, via Santena 5/bis, 10126 Torino, Italy
| | - Martina Godel
- Department of Oncology, University of Torino, via Santena 5/bis, 10126 Torino, Italy
| | - Chiara Riganti
- Department of Oncology, University of Torino, via Santena 5/bis, 10126 Torino, Italy.
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406
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Cortellini A, Tucci M, Adamo V, Stucci LS, Russo A, Tanda ET, Spagnolo F, Rastelli F, Bisonni R, Santini D, Russano M, Anesi C, Giusti R, Filetti M, Marchetti P, Botticelli A, Gelibter A, Occhipinti MA, Marconcini R, Vitale MG, Nicolardi L, Chiari R, Bareggi C, Nigro O, Tuzi A, De Tursi M, Petragnani N, Pala L, Bracarda S, Macrini S, Inno A, Zoratto F, Veltri E, Di Cocco B, Mallardo D, Vitale MG, Pinato DJ, Porzio G, Ficorella C, Ascierto PA. Integrated analysis of concomitant medications and oncological outcomes from PD-1/PD-L1 checkpoint inhibitors in clinical practice. J Immunother Cancer 2020; 8:jitc-2020-001361. [PMID: 33154150 PMCID: PMC7646355 DOI: 10.1136/jitc-2020-001361] [Citation(s) in RCA: 131] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/28/2020] [Indexed: 12/11/2022] Open
Abstract
Background Concomitant medications, such as steroids, proton pump inhibitors (PPI) and antibiotics, might affect clinical outcomes with immune checkpoint inhibitors. Methods We conducted a multicenter observational retrospective study aimed at evaluating the impact of concomitant medications on clinical outcomes, by weighing their associations with baseline clinical characteristics (including performance status, burden of disease and body mass index) and the underlying causes for their prescription. This analysis included consecutive stage IV patients with cancer, who underwent treatment with single agent antiprogrammed death-1/programmed death ligand-1 (PD-1/PD-L1) with standard doses and schedules at the medical oncology departments of 20 Italian institutions. Each medication taken at the immunotherapy initiation was screened and collected into key categories as follows: corticosteroids, antibiotics, gastric acid suppressants (including proton pump inhibitors - PPIs), statins and other lipid-lowering agents, aspirin, anticoagulants, non-steroidal anti-inflammatory drugs (NSAIDs), ACE inhibitors/Angiotensin II receptor blockers, calcium antagonists, β-blockers, metformin and other oral antidiabetics, opioids. Results From June 2014 to March 2020, 1012 patients were included in the analysis. Primary tumors were: non-small cell lung cancer (52.2%), melanoma (26%), renal cell carcinoma (18.3%) and others (3.6%). Baseline statins (HR 1.60 (95% CI 1.14 to 2.25), p=0.0064), aspirin (HR 1.47 (95% CI 1.04 to 2.08, p=0.0267) and β-blockers (HR 1.76 (95% CI 1.16 to 2.69), p=0.0080) were confirmed to be independently related to an increased objective response rate. Patients receiving cancer-related steroids (HR 1.72 (95% CI 1.43 to 2.07), p<0.0001), prophylactic systemic antibiotics (HR 1.85 (95% CI 1.23 to 2.78), p=0.0030), prophylactic gastric acid suppressants (HR 1.29 (95% CI 1.09 to 1.53), p=0.0021), PPIs (HR 1.26 (95% CI 1.07 to 1.48), p=0.0050), anticoagulants (HR 1.43 (95% CI: 1.16 to 1.77), p=0.0007) and opioids (HR 1.71 (95% CI 1.28 to 2.28), p=0.0002) were confirmed to have a significantly higher risk of disease progression. Patients receiving cancer-related steroids (HR 2.16 (95% CI 1.76 to 2.65), p<0.0001), prophylactic systemic antibiotics (HR 1.93 (95% CI 1.25 to 2.98), p=0.0030), prophylactic gastric acid suppressants (HR 1.29 (95% CI 1.06 to 1.57), p=0.0091), PPI (HR 1.26 (95% CI 1.04 to 1.52), p=0.0172), anticoagulants (HR 1.45 (95% CI 1.14 to 1.84), p=0.0024) and opioids (HR 1.53 (95% CI 1.11 to 2.11), p=0.0098) were confirmed to have a significantly higher risk of death. Conclusion We confirmed the association between baseline steroids administered for cancer-related indication, systemic antibiotics, PPIs and worse clinical outcomes with PD-1/PD-L1 checkpoint inhibitors, which can be assumed to have immune-modulating detrimental effects.
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Affiliation(s)
- Alessio Cortellini
- Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy .,Medical Oncology, St. Salvatore Hospital, L'Aquila, Italy
| | - Marco Tucci
- Medical Oncology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari, Bary, Italy.,National Cancer Research Center, Tumori Institute IRCCS Giovanni Paolo II, Bari, Italy
| | - Vincenzo Adamo
- Medical Oncology, Department of Human Pathology, A.O. Papardo, University of Messina, Messina, Italy
| | - Luigia Stefania Stucci
- Medical Oncology Unit, Department of Biomedical Sciences and Human Oncology, University of Bari, Bary, Italy
| | - Alessandro Russo
- Medical Oncology, Department of Human Pathology, A.O. Papardo, University of Messina, Messina, Italy
| | | | | | | | - Renato Bisonni
- Medical Oncology, ASUR District Area 4 Fermo, Fermo, Italy
| | | | - Marco Russano
- Medical Oncology, Campus Bio-Medico University, Rome, Italy
| | - Cecilia Anesi
- Medical Oncology, Campus Bio-Medico University, Rome, Italy
| | - Raffaele Giusti
- Medical Oncology Unit, Sant'Andrea Hospital of Rome, Rome, Italy
| | - Marco Filetti
- Medical Oncology Unit, Sant'Andrea Hospital of Rome, Rome, Italy
| | - Paolo Marchetti
- Medical Oncology Unit, Sant'Andrea Hospital of Rome, Rome, Italy.,Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy.,Medical Oncology Unit B, Policlinico Umberto I, Sapienza University of Rome, Roma, Italy
| | - Andrea Botticelli
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Alain Gelibter
- Medical Oncology Unit B, Policlinico Umberto I, Sapienza University of Rome, Roma, Italy
| | | | | | | | - Linda Nicolardi
- UOC Oncologia Padova Sud, Azienda ULSS 6 Euganea, Padova, Italy
| | - Rita Chiari
- UOC Oncologia Padova Sud, Azienda ULSS 6 Euganea, Padova, Italy
| | - Claudia Bareggi
- Medical Oncology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore di Milano Policlinico, Milano, Italy
| | - Olga Nigro
- Medical Oncology, ASST Sette Laghi, Ospedale di Circolo e Fondazione Macchi, Varese, Italy
| | - Alessandro Tuzi
- Medical Oncology, ASST Sette Laghi, Ospedale di Circolo e Fondazione Macchi, Varese, Italy
| | - Michele De Tursi
- Department of Medical, Oral and Biotechnological Sciences, Gabriele d'Annunzio University of Chieti and Pescara, Chieti, Italy
| | - Nicola Petragnani
- Department of Psychological, Health and Territorial Sciences, University G. D'Annunzio of Chieti and Pescara, Chieti, Italy
| | - Laura Pala
- Division of Medical Oncology for Melanoma, Sarcoma and Rare Tumors, IEO European Institute of Oncology IRCCS, Milan, Italy
| | - Sergio Bracarda
- Medical Oncology, Azienda Ospedaliera S. Maria, Terni, Italy
| | - Serena Macrini
- Medical Oncology, Azienda Ospedaliera S. Maria, Terni, Italy
| | - Alessandro Inno
- Oncology Unit, IRCCS Ospedale Sacro Cuore Don Calabria, Negrar, Italy
| | | | - Enzo Veltri
- Medical Oncology, Santa Maria Goretti Hospital, Latina, Italy
| | | | - Domenico Mallardo
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione "G. Pascale", Napoli, Italy
| | - Maria Grazia Vitale
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione "G. Pascale", Napoli, Italy
| | - David James Pinato
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK
| | | | - Corrado Ficorella
- Department of Biotechnology and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.,Medical Oncology, St. Salvatore Hospital, L'Aquila, Italy
| | - Paolo Antonio Ascierto
- Melanoma, Cancer Immunotherapy and Development Therapeutics Unit, Istituto Nazionale Tumori IRCCS Fondazione "G. Pascale", Napoli, Italy
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407
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Shao D, Di Y, Lian Z, Zhu B, Xu X, Guo D, Huang Q, Jiang C, Kong J, Shi J. Grape seed proanthocyanidins suppressed macrophage foam cell formation by miRNA-9 via targeting ACAT1 in THP-1 cells. Food Funct 2020; 11:1258-1269. [PMID: 31967154 DOI: 10.1039/c9fo02352f] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Abnormal lipid metabolism in macrophages leads to atherosclerosis (AS). Excessive LDL cholesterol uptake by macrophages in the aortic endothelium leads to formation of foam cells. Previous studies suggested that proanthocyanidins effectively suppress this process, while the in-depth mechanism has not been elucidated. In mononuclear THP-1 cells, we found that the oligomeric fraction of proanthocyanidins was more effective in suppressing foam cell formation and 25 μg ml-1 for 48 h were the optimum conditions. Under these model conditions, we investigated gene expression and for the first time reported expression of regulatory microRNA (miRNA). It was found that the proanthocyanidins restrained macrophage foaming mainly by lowering the expression levels of cholesterol influx-related receptors CD36 and SR-A, and promoting the expression of cholesterol efflux-related receptor ABCA1. Further, it was latest revealed that proanthocyanidins could notably inhibit the expression of ACAT1, a key gene for intracellular cholesterol esterification. Further investigation was performed on the expression of regulatory miRNAs (miR-134 for CD36, miR-134, miR-155 for SR-A, miR-155, let-7g for LOX-1, miR-9 for ACAT1, miR-27a, miR-19b, miR-10b and miR-33a for ABCA1). The relative expression of miR-9, a miRNA targeting ACAT1, was decreased after the treatment of proanthocyanidins. It was most likely that proanthocyanidins suppressed the expression of ACAT1 via up-regulating the expression of miR-9, thus lessening the intracellular lipid accumulation and eventually inhibiting macrophage foam cell formation. This assumption was further verified by use of miR-9 mimic and its inhibitor.
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Affiliation(s)
- Dongyan Shao
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, 127 Youyi West Road, Xi'an, Shaanxi 710072, P. R. China.
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408
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Shen P, Jiao Y, Miao L, Chen J, Momtazi‐Borojeni AA. Immunomodulatory effects of berberine on the inflamed joint reveal new therapeutic targets for rheumatoid arthritis management. J Cell Mol Med 2020; 24:12234-12245. [PMID: 32969153 PMCID: PMC7687014 DOI: 10.1111/jcmm.15803] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Revised: 07/21/2020] [Accepted: 07/30/2020] [Indexed: 12/13/2022] Open
Abstract
Rheumatoid arthritis (RA) is a chronic inflammatory syndrome designated by synovial joint inflammation leading to cartilage degradation and bone damage as well as progressive disability. Synovial inflammation is promoted through the infiltration of mononuclear immune cells, dominated by CD4+ T cells, macrophages and dendritic cells (DCs), together with fibroblast-like synoviocytes (FLS), into the synovial compartment. Berberine is a bioactive isoquinoline alkaloid compound showing various pharmacological properties that are mainly attributed to immunomodulatory and anti-inflammatory effects. Several lines of experimental study have recently investigated the therapeutic potential of berberine and its underlying mechanisms in treating RA condition. The present review aimed to clarify determinant cellular and molecular targets of berberine in RA and found that berberine through modulating several signalling pathways involved in the joint inflammation, including PI3K/Akt, Wnt1/β-catenin, AMPK/lipogenesis and LPA/LPA1 /ERK/p38 MAPK can inhibit inflammatory proliferation of FLS cells, suppress DC activation and modulate Th17/Treg balance and thus prevent cartilage and bone destruction. Importantly, these molecular targets may explore new therapeutic targets for RA treatment.
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Affiliation(s)
- Peng Shen
- Department of StomatologyClinical Department of Aerospace CityNorthern Beijing Medical DistrictChinese PLA General HospitalBeijingChina
| | - Yang Jiao
- Department of StomatologyThe 7th Medical CenterChinese PLA General HospitalBeijingChina
- Outpatient Department of PLA Macao GarrisonMacaoChina
| | - Li Miao
- Department of StomatologyThe 7th Medical CenterChinese PLA General HospitalBeijingChina
| | - Ji‐hua Chen
- National Clinical Research Center for Oral Diseases & State Key Laboratory of Military Stomatology & Shaanxi Key Laboratory of Oral DiseasesDepartment of ProsthodonticsSchool of StomatologyThe Fourth Military Medical UniversityXi'anChina
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409
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Sahay B, Mergia A. The Potential Contribution of Caveolin 1 to HIV Latent Infection. Pathogens 2020; 9:pathogens9110896. [PMID: 33121153 PMCID: PMC7692328 DOI: 10.3390/pathogens9110896] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 10/22/2020] [Accepted: 10/23/2020] [Indexed: 12/25/2022] Open
Abstract
Combinatorial antiretroviral therapy (cART) suppresses HIV replication to undetectable levels and has been effective in prolonging the lives of HIV infected individuals. However, cART is not capable of eradicating HIV from infected individuals mainly due to HIV’s persistence in small reservoirs of latently infected resting cells. Latent infection occurs when the HIV-1 provirus becomes transcriptionally inactive and several mechanisms that contribute to the silencing of HIV transcription have been described. Despite these advances, latent infection remains a major hurdle to cure HIV infected individuals. Therefore, there is a need for more understanding of novel mechanisms that are associated with latent infection to purge HIV from infected individuals thoroughly. Caveolin 1(Cav-1) is a multifaceted functional protein expressed in many cell types. The expression of Cav-1 in lymphocytes has been controversial. Recent evidence, however, convincingly established the expression of Cav-1 in lymphocytes. In lieu of this finding, the current review examines the potential role of Cav-1 in HIV latent infection and provides a perspective that helps uncover new insights to understand HIV latent infection.
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Affiliation(s)
| | - Ayalew Mergia
- Correspondence: ; Tel.: +352-294-4139; Fax: +352-392-9704
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410
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Balyan R, Gautam N, Gascoigne NR. The Ups and Downs of Metabolism during the Lifespan of a T Cell. Int J Mol Sci 2020; 21:E7972. [PMID: 33120978 PMCID: PMC7663011 DOI: 10.3390/ijms21217972] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 10/16/2020] [Accepted: 10/24/2020] [Indexed: 02/07/2023] Open
Abstract
Understanding the various mechanisms that govern the development, activation, differentiation, and functions of T cells is crucial as it could provide opportunities for therapeutic interventions to disrupt immune pathogenesis. Immunometabolism is one such area that has garnered significant interest in the recent past as it has become apparent that cellular metabolism is highly dynamic and has a tremendous impact on the ability of T cells to grow, activate, and differentiate. In each phase of the lifespan of a T-cell, cellular metabolism has to be tailored to match the specific functional requirements of that phase. Resting T cells rely on energy-efficient oxidative metabolism but rapidly shift to a highly glycolytic metabolism upon activation in order to meet the bioenergetically demanding process of growth and proliferation. However, upon antigen clearance, T cells return to a more quiescent oxidative metabolism to support T cell memory generation. In addition, each helper T cell subset engages distinct metabolic pathways to support their functional needs. In this review, we provide an overview of the metabolic changes that occur during the lifespan of a T cell and discuss several important studies that provide insights into the regulation of the metabolic landscape of T cells and how they impact T cell development and function.
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Affiliation(s)
| | | | - Nicholas R.J. Gascoigne
- Immunology Programme and Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore; (R.B.); (N.G.)
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411
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The Role of Metabolic Enzymes in the Regulation of Inflammation. Metabolites 2020; 10:metabo10110426. [PMID: 33114536 PMCID: PMC7693344 DOI: 10.3390/metabo10110426] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 10/19/2020] [Accepted: 10/19/2020] [Indexed: 12/26/2022] Open
Abstract
Immune cells undergo dramatic metabolic reprogramming in response to external stimuli. These metabolic pathways, long considered as simple housekeeping functions, are increasingly understood to critically regulate the immune response, determining the activation, differentiation, and downstream effector functions of both lymphoid and myeloid cells. Within the complex metabolic networks associated with immune activation, several enzymes play key roles in regulating inflammation and represent potential therapeutic targets in human disease. In some cases, these enzymes control flux through pathways required to meet specific energetic or metabolic demands of the immune response. In other cases, key enzymes control the concentrations of immunoactive metabolites with direct roles in signaling. Finally, and perhaps most interestingly, several metabolic enzymes have evolved moonlighting functions, with roles in the immune response that are entirely independent of their conventional enzyme activities. Here, we review key metabolic enzymes that critically regulate inflammation, highlighting mechanistic insights and opportunities for clinical intervention.
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412
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Yu C, Ding S. Therapeutic strategies targeting somatic stem cells: Chemical approaches. Bioorg Med Chem 2020; 28:115824. [PMID: 33126088 DOI: 10.1016/j.bmc.2020.115824] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 10/15/2020] [Accepted: 10/17/2020] [Indexed: 02/08/2023]
Abstract
Therapeutic modulation of fate and behavior of somatic stem cells can generate safe and functional cells ex vivo for cell-based therapy, or to repair and regenerate damaged tissues in vivo. Chemical approaches involving small molecules have provided promising approaches for modulating cellular fate and function. These strategies offer opportunities that support regenerative medicine. Here, we discuss strategies targeting somatic stem cells through chemical approaches, highlighting their progression as well as future prospects.
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Affiliation(s)
- Chen Yu
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Sheng Ding
- School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, China.
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413
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Liu Z, Li JP, Chen M, Wu M, Shi Y, Li W, Teijaro JR, Wu P. Detecting Tumor Antigen-Specific T Cells via Interaction-Dependent Fucosyl-Biotinylation. Cell 2020; 183:1117-1133.e19. [PMID: 33096019 DOI: 10.1016/j.cell.2020.09.048] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 07/27/2020] [Accepted: 09/18/2020] [Indexed: 02/07/2023]
Abstract
Re-activation and clonal expansion of tumor-specific antigen (TSA)-reactive T cells are critical to the success of checkpoint blockade and adoptive transfer of tumor-infiltrating lymphocyte (TIL)-based therapies. There are no reliable markers to specifically identify the repertoire of TSA-reactive T cells due to their heterogeneous composition. We introduce FucoID as a general platform to detect endogenous antigen-specific T cells for studying their biology. Through this interaction-dependent labeling approach, intratumoral TSA-reactive CD4+, CD8+ T cells, and TSA-suppressive CD4+ T cells can be detected and separated from bystander T cells based on their cell-surface enzymatic fucosyl-biotinylation. Compared to bystander TILs, TSA-reactive TILs possess a distinct T cell receptor (TCR) repertoire and unique gene features. Although exhibiting a dysfunctional phenotype, TSA-reactive CD8+ TILs possess substantial capabilities of proliferation and tumor-specific killing. Featuring genetic manipulation-free procedures and a quick turnover cycle, FucoID should have the potential of accelerating the pace of personalized cancer treatment.
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Affiliation(s)
- Zilei Liu
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Jie P Li
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA; State Key Laboratory of Coordination Chemistry, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China.
| | - Mingkuan Chen
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Mengyao Wu
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA; Department of Oncology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - Yujie Shi
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Wei Li
- Department of Oncology, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - John R Teijaro
- Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
| | - Peng Wu
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA 92037, USA.
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414
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Feng H, Shen W. ACAA1 Is a Predictive Factor of Survival and Is Correlated With T Cell Infiltration in Non-Small Cell Lung Cancer. Front Oncol 2020; 10:564796. [PMID: 33194642 PMCID: PMC7642998 DOI: 10.3389/fonc.2020.564796] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 09/28/2020] [Indexed: 01/28/2023] Open
Abstract
Non-small cell lung cancer (NSCLC) is the predominant subtype of lung cancers. KRAS mutation is the second most prevalent mutation in NSCLC. KRAS mutant cancer cells suppress the anti-tumor T cell response. However, the underlying mechanism is still unknown. Here, we analyzed the differential expression of acetyl-CoA acyltransferase 1 (ACAA1) in various types of cancers using the TIMER database and validated the results in the NSCLC cell line H1944. We silenced oncogenic KRAS by siRNA targeting KRASG13D, and employed an MAPK signaling pathway inhibitor to clarify the possible regulatory pathway. Moreover, we analyzed the correlation of ACAA1 expression level with B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages, and dendritic cells. Correlations between expression of ACAA1 and several biomarkers of mutation burden were also tested. Finally, we evaluated the prognostic value of ACAA1 in a wide range of cancers using the Kaplan-Meier Plotter Database. We found lower expression of ACAA1 in tumor tissue than in adjacent normal tissue in various cancers. This result was confirmed using a GEO dataset. Knock-down of mutant KRAS resulted in increased ACAA1 mRNA level in H1944 cells. ACAA1 mRNA level was significantly upregulated in H1944 after treatment with MAPK pathway inhibitor sorafenib, indicating that oncogenic KRAS may downregulate ACAA1 through MAPK signaling. ACAA1 was negatively correlated with biomarkers of tumor mutation burden, including BRCA1, ATM, ATR, CDK1, PMS2, MSH2, and MDH6. Conversely, ACAA1 expression was positively correlated with infiltrating CD4+ cells and with Th1, Th2, Treg cells in the lung tumor microenvironment. Finally, we showed that ACAA1 is a predictive factor for survival in several cancer types. In summary, decreased ACAA1 expression is correlated with poor prognosis and decreases immune infiltration of CD4+ T cells in LUAD and LUSC. ACAA1 also predicts T cell exhaustion in LUSC. The mechanism underlying KRAS/ACAA1 axis-mediated regulation of immune cell infiltration requires further investigation.
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Affiliation(s)
| | - Weixi Shen
- Department of Oncology, Shenzhen Hospital of Southern Medical University, Shenzhen, China
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415
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Dietary fats suppress the peritoneal seeding of colorectal cancer cells through the TLR4/Cxcl10 axis in adipose tissue macrophages. Signal Transduct Target Ther 2020; 5:239. [PMID: 33060562 PMCID: PMC7566605 DOI: 10.1038/s41392-020-00327-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 08/31/2020] [Accepted: 09/14/2020] [Indexed: 12/27/2022] Open
Abstract
Peritoneal carcinomatosis (PC) of colorectal cancer (CRC) is a terminal phase of malignancy with no effective strategies for the prevention of this condition. Here we established PC models in mice by intraperitoneal engraftment of CRC cells and revealed an unexpected role for a high-fat diet (HFD) in preventing metastatic seeding in the visceral fat. Mechanistically, the HFD stimulated the activation of adipose tissue macrophages (ATMs) toward an M1-like phenotype and enhanced ATM tumor phagocytosis in a TLR4-dependent manner. Furthermore, the TLR4–Cxcl10 axis in ATMs promoted T cell recruitment, and M1-like macrophages stimulated T cell activation in tumor-seeded fats. The inhibitory effect of the HFD on tumor seeding was abolished with the ablation of macrophages, inactivation of T cells, or blockade of the TLR4–Cxcl10 axis in macrophages. Finally, we showed that a HFD and conventional chemotherapeutic agents (oxaliplatin or 5-fluorouracil) synergistically improved the survival of tumor-seeded mice. Collectively, our findings demonstrate that peritoneal seeding of CRC can be suppressed by short-term treatment with a HFD in the early phase, providing a novel concept for the management of these patients in the clinic.
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416
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Gu SS, Wang X, Hu X, Jiang P, Li Z, Traugh N, Bu X, Tang Q, Wang C, Zeng Z, Fu J, Meyer C, Zhang Y, Cejas P, Lim K, Wang J, Zhang W, Tokheim C, Sahu AD, Xing X, Kroger B, Ouyang Z, Long H, Freeman GJ, Brown M, Liu XS. Clonal tracing reveals diverse patterns of response to immune checkpoint blockade. Genome Biol 2020; 21:263. [PMID: 33059736 PMCID: PMC7559192 DOI: 10.1186/s13059-020-02166-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 09/15/2020] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Immune checkpoint blockade (ICB) therapy has improved patient survival in a variety of cancers, but only a minority of cancer patients respond. Multiple studies have sought to identify general biomarkers of ICB response, but elucidating the molecular and cellular drivers of resistance for individual tumors remains challenging. We sought to determine whether a tumor with defined genetic background exhibits a stereotypic or heterogeneous response to ICB treatment. RESULTS We establish a unique mouse system that utilizes clonal tracing and mathematical modeling to monitor the growth of each cancer clone, as well as the bulk tumor, in response to ICB. We find that tumors derived from the same clonal populations showed heterogeneous ICB response and diverse response patterns. Primary response is associated with higher immune infiltration and leads to enrichment of pre-existing ICB-resistant cancer clones. We further identify several cancer cell-intrinsic gene expression signatures associated with ICB resistance, including increased interferon response genes and glucocorticoid response genes. These findings are supported by clinical data from ICB treatment cohorts. CONCLUSIONS Our study demonstrates diverse response patterns from the same ancestor cancer cells in response to ICB. This suggests the value of monitoring clonal constitution and tumor microenvironment over time to optimize ICB response and to design new combination therapies. Furthermore, as ICB response may enrich for cancer cell-intrinsic resistance signatures, this can affect interpretations of tumor RNA-seq data for response-signature association studies.
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Affiliation(s)
- Shengqing Stan Gu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Xiaoqing Wang
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Xihao Hu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Peng Jiang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Ziyi Li
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China
| | - Nicole Traugh
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
| | - Xia Bu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Qin Tang
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Chenfei Wang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Zexian Zeng
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Jingxin Fu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China
| | - Cliff Meyer
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Yi Zhang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Paloma Cejas
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Klothilda Lim
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Jin Wang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China
| | - Wubing Zhang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200433, China
| | - Collin Tokheim
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Avinash Das Sahu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Xiaofang Xing
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Division of Gastrointestinal Cancer Translational Research Laboratory, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Benjamin Kroger
- University of Texas Southwestern Medical School, Dallas, TX, 75390, USA
| | - Zhangyi Ouyang
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Henry Long
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA
| | - Gordon J Freeman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Harvard Medical School, Boston, MA, 02115, USA.
| | - Myles Brown
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Harvard Medical School, Boston, MA, 02115, USA.
| | - X Shirley Liu
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02215, USA.
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
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417
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Hong M, Clubb JD, Chen YY. Engineering CAR-T Cells for Next-Generation Cancer Therapy. Cancer Cell 2020; 38:473-488. [PMID: 32735779 DOI: 10.1016/j.ccell.2020.07.005] [Citation(s) in RCA: 333] [Impact Index Per Article: 83.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 06/27/2020] [Accepted: 06/28/2020] [Indexed: 02/07/2023]
Abstract
T cells engineered to express chimeric antigen receptors (CARs) with tumor specificity have shown remarkable success in treating patients with hematologic malignancies and revitalized the field of adoptive cell therapy. However, realizing broader therapeutic applications of CAR-T cells necessitates engineering approaches on multiple levels to enhance efficacy and safety. Particularly, solid tumors present unique challenges due to the biological complexity of the solid-tumor microenvironment (TME). In this review, we highlight recent strategies to improve CAR-T cell therapy by engineering (1) the CAR protein, (2) T cells, and (3) the interaction between T cells and other components in the TME.
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Affiliation(s)
- Mihe Hong
- Department of Chemical and Biomolecular Engineering, University of California-Los Angeles, Los Angeles, CA 90095, USA
| | - Justin D Clubb
- Department of Chemical and Biomolecular Engineering, University of California-Los Angeles, Los Angeles, CA 90095, USA
| | - Yvonne Y Chen
- Department of Chemical and Biomolecular Engineering, University of California-Los Angeles, Los Angeles, CA 90095, USA; Department of Microbiology, Immunology, and Molecular Genetics, University of California-Los Angeles, Los Angeles, CA 90095, USA; Parker Institute for Cancer Immunotherapy Center at UCLA, Los Angeles, CA 90095, USA.
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418
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Bonacina F, Da Dalt L, Catapano AL, Norata GD. Metabolic adaptations of cells at the vascular-immune interface during atherosclerosis. Mol Aspects Med 2020; 77:100918. [PMID: 33032828 PMCID: PMC7534736 DOI: 10.1016/j.mam.2020.100918] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 09/28/2020] [Accepted: 09/28/2020] [Indexed: 12/20/2022]
Abstract
Metabolic reprogramming is a physiological cellular adaptation to intracellular and extracellular stimuli that couples to cell polarization and function in multiple cellular subsets. Pathological conditions associated to nutrients overload, such as dyslipidaemia, may disturb cellular metabolic homeostasis and, in turn, affect cellular response and activation, thus contributing to disease progression. At the vascular/immune interface, the site of atherosclerotic plaque development, many of these changes occur. Here, an intimate interaction between endothelial cells (ECs), vascular smooth muscle cells (VSMCs) and immune cells, mainly monocytes/macrophages and lymphocytes, dictates physiological versus pathological response. Furthermore, atherogenic stimuli trigger metabolic adaptations both at systemic and cellular level that affect the EC layer barrier integrity, VSMC proliferation and migration, monocyte infiltration, macrophage polarization, lymphocyte T and B activation. Rewiring cellular metabolism by repurposing “metabolic drugs” might represent a pharmacological approach to modulate cell activation at the vascular immune interface thus contributing to control the immunometabolic response in the context of cardiovascular diseases.
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Affiliation(s)
- F Bonacina
- Department of Excellence of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy.
| | - L Da Dalt
- Department of Excellence of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy.
| | - A L Catapano
- Department of Excellence of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy; IRCSS Multimedica, Milan, Italy.
| | - G D Norata
- Department of Excellence of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy; IRCCS, Ospedale Bassini, Cinisello Balsamo, Italy.
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419
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Franco F, Jaccard A, Romero P, Yu YR, Ho PC. Metabolic and epigenetic regulation of T-cell exhaustion. Nat Metab 2020; 2:1001-1012. [PMID: 32958939 DOI: 10.1038/s42255-020-00280-9] [Citation(s) in RCA: 163] [Impact Index Per Article: 40.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2019] [Accepted: 08/12/2020] [Indexed: 12/13/2022]
Abstract
Current immunotherapies yield remarkable clinical outcomes by boosting the power of host immunity in cancer cell elimination and viral clearance. However, after prolonged antigen exposure, CD8+ T cells differentiate into a special differentiation state known as T-cell exhaustion, which poses one of the major hurdles to antiviral and antitumor immunity during chronic viral infection and tumour development. Growing evidence indicates that exhausted T cells undergo metabolic insufficiency with altered signalling cascades and epigenetic landscapes, which dampen effector immunity and cause poor responsiveness to immune-checkpoint-blockade therapies. How metabolic stress affects T-cell exhaustion remains unclear; therefore, in this Review, we summarize current knowledge of how T-cell exhaustion occurs, and discuss how metabolic insufficiency and prolonged stress responses may affect signalling cascades and epigenetic reprogramming, thus locking T cells into an exhausted state via specialized differentiation programming.
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Affiliation(s)
- Fabien Franco
- Department of Fundamental Oncology, University of Lausanne, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne, Epalinges, Switzerland
| | - Alison Jaccard
- Department of Fundamental Oncology, University of Lausanne, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne, Epalinges, Switzerland
| | - Pedro Romero
- Department of Fundamental Oncology, University of Lausanne, Lausanne, Switzerland
- Ludwig Institute for Cancer Research, University of Lausanne, Epalinges, Switzerland
| | - Yi-Ru Yu
- Department of Fundamental Oncology, University of Lausanne, Lausanne, Switzerland.
- Ludwig Institute for Cancer Research, University of Lausanne, Epalinges, Switzerland.
| | - Ping-Chih Ho
- Department of Fundamental Oncology, University of Lausanne, Lausanne, Switzerland.
- Ludwig Institute for Cancer Research, University of Lausanne, Epalinges, Switzerland.
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420
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Liver X receptor β is required for the survival of single-positive thymocytes by regulating IL-7Rα expression. Cell Mol Immunol 2020; 18:1969-1980. [PMID: 32963358 DOI: 10.1038/s41423-020-00546-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 08/23/2020] [Indexed: 11/08/2022] Open
Abstract
Liver X receptors (LXRs) are known as key transcription factors in lipid metabolism and have been reported to play an important role in T-cell proliferation. However, whether LXRs play a role in thymocyte development remains largely unknown. Here, we demonstrated that LXRβ deficiency caused a reduction in single-positive (SP) thymocytes, whereas the transitions from the double-negative to SP stage were normal. Meanwhile, LXRβ-null SP thymocytes exhibited increased apoptosis and impairment of the IL-7Rα-Bcl2 axis. In addition, the LXR agonist T0901317 promoted the survival of SP thymocytes with enhanced IL-7Rα expression in wild-type mice but not in LXRβ-deficient mice. Mechanistically, LXRβ positively regulated the expression of IL-7Rα via direct binding to the Il7r allele in SP thymocytes, and forced expression of IL-7Rα or Bcl2 restored the survival of LXRβ-defective SP thymocytes. Thus, our results indicate that LXRβ functions as an important transcription factor upstream of IL-7Rα to promote the survival of SP thymocytes.
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421
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Chai X, Han HH, Sedgwick AC, Li N, Zang Y, James TD, Zhang J, Hu XL, Yu Y, Li Y, Wang Y, Li J, He XP, Tian H. Photochromic Fluorescent Probe Strategy for the Super-resolution Imaging of Biologically Important Biomarkers. J Am Chem Soc 2020; 142:18005-18013. [DOI: 10.1021/jacs.0c05379] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Xianzhi Chai
- Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering, Frontiers Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P. R. China
| | - Hai-Hao Han
- Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering, Frontiers Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P. R. China
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 189 Guo Shoujing Road, Shanghai 201203, P. R. China
| | - Adam C. Sedgwick
- Department of Chemistry, The University of Texas at Austin, 105 East 24th Street A5300, Austin, Texas 78712-1224, United States
| | - Na Li
- National Center for Protein Science Shanghai, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P. R. China
| | - Yi Zang
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 189 Guo Shoujing Road, Shanghai 201203, P. R. China
| | - Tony D. James
- Department of Chemistry, University of Bath, Bath BA2 7AY, U.K
| | - Junji Zhang
- Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering, Frontiers Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P. R. China
| | - Xi-Le Hu
- Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering, Frontiers Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P. R. China
| | - Yang Yu
- National Center for Protein Science Shanghai, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P. R. China
| | - Yao Li
- National Center for Protein Science Shanghai, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P. R. China
| | - Yan Wang
- National Center for Protein Science Shanghai, Shanghai Institute of Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P. R. China
| | - Jia Li
- National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 189 Guo Shoujing Road, Shanghai 201203, P. R. China
| | - Xiao-Peng He
- Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering, Frontiers Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P. R. China
| | - He Tian
- Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, School of Chemistry and Molecular Engineering, Frontiers Center for Materiobiology and Dynamic Chemistry, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, P. R. China
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422
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Saleh R, Sasidharan Nair V, Toor SM, Taha RZ, Murshed K, Al-Dhaheri M, Khawar M, Petkar MA, Abu Nada M, Al-Ejeh F, Elkord E. Differential gene expression of tumor-infiltrating CD8 + T cells in advanced versus early-stage colorectal cancer and identification of a gene signature of poor prognosis. J Immunother Cancer 2020; 8:jitc-2020-001294. [PMID: 32948653 PMCID: PMC7511623 DOI: 10.1136/jitc-2020-001294] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/17/2020] [Indexed: 12/13/2022] Open
Abstract
Background Cytotoxic CD8+ T cell-mediated response is the most important arm of adaptive immunity, which dictates the capacity of the host immune response in eradicating tumor cells. Due to tumor intrinsic and/or extrinsic factors, the density and function of CD8+ tumor-infiltrating lymphocytes (TILs) could be compromised, leading to poor prognosis and survival. Methods Using RNA-Seq, transcriptomes of sorted CD3+CD8+ TILs from treatment-naïve colorectal cancer (CRC) patients at advanced stages (III and IV) were compared with those from patients with early stages (I and II). A signature referred to as ‘poor prognosis CD8 gene signature (ppCD8sig)’ was identified and analyzed in The Cancer Genome Atlas CRC dataset. Scores for the ppCD8sig were calculated and classified as high, intermediate and low, and its prognostic significance was assessed using multivariate analysis and Cox proportional hazard model. Densities of CD3+ and CD8+ T cell infiltration in tumors from patients with high and low ppCD8sig scores were assessed by flow cytometry and immunostaining. Results Genes related to epigenetic regulation and response to hypoxia were upregulated in CD8+ TILs from patients with advanced stages, while genes related to T cell activation, cell proliferation and cell cycle were downregulated. Patients with high ppCD8sig score had poorer disease-specific survival (DSS) and shorter progression-free interval (PFI). The ppCD8sig was an independent prognostic indicator for DSS (HR 1.83, 95% CI 1.40 to 2.38, p<0.0001) and PFI (HR 1.42, 95% CI 1.04 to 1.93, p=0.026). Additionally, patients with high ppCD8sig score were more likely to have advanced stages (χ2 p<0.0001) and residual disease after primary therapy (χ2 p=0.046). Patients with high ppCD8sig score had reduced levels of CD3+ and CD8+ TILs and low Immunoscores (IS), compared to patients with low ppCD8sig score. Conclusions Our data provided insights into the altered regulation of biological mechanisms and signaling pathways in CD8+ TILs during CRC progression, and revealed a gene signature as an independent prognostic indicator. Patients with high ppCD8sig score had lower levels of TILs and low IS. These data further confirm the prognostic value of the identified ppCD8sig and potentially highlight its clinical relevance.
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Affiliation(s)
- Reem Saleh
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Varun Sasidharan Nair
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Salman M Toor
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Rowaida Z Taha
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Khaled Murshed
- Department of Pathology, Hamad Medical Corporation, Doha, Qatar
| | | | - Mahwish Khawar
- Department of Surgery, Hamad Medical Corporation, Doha, Qatar
| | | | | | - Fares Al-Ejeh
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Eyad Elkord
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
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423
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Moderate static magnetic fields enhance antitumor CD8 + T cell function by promoting mitochondrial respiration. Sci Rep 2020; 10:14519. [PMID: 32884074 PMCID: PMC7471296 DOI: 10.1038/s41598-020-71566-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 08/10/2020] [Indexed: 12/26/2022] Open
Abstract
With the discovery of magnetoreceptor mechanisms in animals, it materialized the novel applications of controlling cell and animal behaviors using magnetic fields. T cells have shown to be sensitive to magnetic fields. Here, we reported that exposure to moderate SMFs (static magnetic fields) led to increased granule and cytokine secretion as well as ATP production and mitochondrial respiration from CD8+ T cells. These effects were inhibited by knocking down the Uqcrb and Ndufs6 genes of mitochondrial respiratory chain, whose transcriptions were regulated by candidate magnetoreceptor genes Isca1 and Cry1/Cry2. SMF exposure also promoted CD8+ T cell granule and cytokine secretion and repressed tumor growth in vivo. SMFs enhanced CD8+ T cell cytotoxicity, and the adoptive transfer into tumor-bearing mice resulted in enhanced antitumor effects. Collectively, our study suggests that moderate SMFs enhance CD8+ T cell cytotoxicity by promoting mitochondrial respiration and promoted the antitumor function of CD8+ T cells.
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424
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Impact of Immunometabolism on Cancer Metastasis: A Focus on T Cells and Macrophages. Cold Spring Harb Perspect Med 2020; 10:cshperspect.a037044. [PMID: 31615868 DOI: 10.1101/cshperspect.a037044] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Despite improved treatment options, cancer remains the leading cause of morbidity and mortality worldwide, with 90% of this mortality correlated to the development of metastasis. Since metastasis has such an impact on treatment success, disease outcome, and global health, it is important to understand the different steps and factors playing key roles in this process, how these factors relate to immune cell function and how we can target metabolic processes at different steps of metastasis in order to improve cancer treatment and patient prognosis. Recent insights in immunometabolism direct to promising therapeutic targets for cancer treatment, however, the specific contribution of metabolism on antitumor immunity in different metastatic niches warrant further investigation. Here, we provide an overview of what is so far known in the field of immunometabolism at different steps of the metastatic cascade, and what may represent the next steps forward. Focusing on metabolic checkpoints in order to translate these findings from in vitro and mouse studies to the clinic has the potential to revolutionize cancer immunotherapy and greatly improve patient prognosis.
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425
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Abstract
Through the successes of checkpoint blockade and adoptive cellular therapy, immunotherapy has become an established treatment modality for cancer. Cellular metabolism has emerged as a critical determinant of the viability and function of both cancer cells and immune cells. In order to sustain prodigious anabolic needs, tumours employ a specialized metabolism that differs from untransformed somatic cells. This metabolism leads to a tumour microenvironment that is commonly acidic, hypoxic and/or depleted of critical nutrients required by immune cells. In this context, tumour metabolism itself is a checkpoint that can limit immune-mediated tumour destruction. Because our understanding of immune cell metabolism and cancer metabolism has grown significantly in the past decade, we are on the cusp of being able to unravel the interaction of cancer cell metabolism and immune metabolism in therapeutically meaningful ways. Although there are metabolic processes that are seemingly fundamental to both cancer and responding immune cells, metabolic heterogeneity and plasticity may serve to distinguish the two. As such, understanding the differential metabolic requirements of the diverse cells that comprise an immune response to cancer offers an opportunity to selectively regulate immune cell function. Such a nuanced evaluation of cancer and immune metabolism can uncover metabolic vulnerabilities and therapeutic windows upon which to intervene for enhanced immunotherapy.
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Affiliation(s)
- Robert D Leone
- Bloomberg~Kimmel Institute for Cancer Immunotherapy, Sidney Kimmel Comprehensive Cancer Research Center, Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jonathan D Powell
- Bloomberg~Kimmel Institute for Cancer Immunotherapy, Sidney Kimmel Comprehensive Cancer Research Center, Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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426
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Momtazi-Borojeni AA, Banach M, Reiner Ž, Pirro M, Bianconi V, Al-Rasadi K, Sahebkar A. Interaction Between Coronavirus S-Protein and Human ACE2: Hints for Exploring Efficient Therapeutic Targets to Treat COVID-19. Angiology 2020; 72:122-130. [PMID: 32864982 DOI: 10.1177/0003319720952284] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
With the global expansion of coronavirus disease 2019 (COVID-19) and the declaration of its outbreak as a Public Health Emergency of International Concern by the World Health Organization, there is an urgent need for vaccines and medicines to prevent and treat COVID-19. The responsible pathogen for the disease is the newly severe acute respiratory syndrome coronavirus (SARS-CoV) 2 belonging to the same family of viruses SARS-CoV and Middle East respiratory syndrome coronavirus that originally are zoonotic and have been associated with severe illness during the outbreaks in 2003 and 2012, respectively. The virulence of coronavirus strains is mainly associated with variations in surface proteins mediating cellular entry of the virus, which can help in finding effective therapeutic targets. In this review, we seek evidence showing the role of coronavirus spike protein (S-protein) and its potential cellular receptor, angiotensin-converting enzyme 2 (ACE2), during infection of coronaviruses, including the newly SARS-CoV-2 and its similar strain SARS-CoV. This review also discusses the therapeutic effect of inhibiting the renin-angiotensin system cascade, a target of ACE2, in patients having coronavirus with cardiovascular disease.
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Affiliation(s)
| | - Maciej Banach
- Department of Hypertension, WAM University Hospital in Lodz, Medical University of Lodz, Lodz, Poland.,37800Polish Mother's Memorial Hospital Research Institute (PMMHRI), Lodz, Poland
| | - Željko Reiner
- Department of Internal Medicine, 37631University Hospital Center Zagreb, Croatia
| | - Matteo Pirro
- Unit of Internal Medicine, Angiology and Arteriosclerosis Diseases, Department of Medicine, University of Perugia, Italy
| | - Vanessa Bianconi
- Unit of Internal Medicine, Angiology and Arteriosclerosis Diseases, Department of Medicine, University of Perugia, Italy
| | | | - Amirhossein Sahebkar
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.,Neurogenic Inflammation Research Center, 37552Mashhad University of Medical Sciences, Mashhad, Iran.,School of Pharmacy, 37552Mashhad University of Medical Sciences, Mashhad, Iran
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427
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Ma L, Wang L, Nelson AT, Han C, He S, Henn MA, Menon K, Chen JJ, Baek AE, Vardanyan A, Shahoei SH, Park S, Shapiro DJ, Nanjappa SG, Nelson ER. 27-Hydroxycholesterol acts on myeloid immune cells to induce T cell dysfunction, promoting breast cancer progression. Cancer Lett 2020; 493:266-283. [PMID: 32861706 DOI: 10.1016/j.canlet.2020.08.020] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 07/31/2020] [Accepted: 08/17/2020] [Indexed: 12/17/2022]
Abstract
Breast cancer remains one of the leading causes of cancer mortality in the US. Elevated cholesterol is a major risk factor for breast cancer onset and recurrence, while cholesterol-lowering drugs, such as statins, are associated with a good prognosis. Previous work in murine models showed that cholesterol increases breast cancer metastasis, and the pro-metastatic effects of cholesterol were due to its primary metabolite, 27-hydroxycholesterol (27HC). In our prior work, myeloid cells were found to be required for the pro-metastatic effects of 27HC, but their precise contribution remains unclear. Here we report that 27HC impairs T cell expansion and cytotoxic function through its actions on myeloid cells, including macrophages, in a Liver X receptor (LXR) dependent manner. Many oxysterols and LXR ligands had similar effects on T cell expansion. Moreover, their ability to induce the LXR target gene ABCA1 was associated with their effectiveness in impairing T cell expansion. Induction of T cell apoptosis was likely one mediator of this impairment. Interestingly, the enzyme responsible for the synthesis of 27HC, CYP27A1, is highly expressed in myeloid cells, suggesting that 27HC may have important autocrine or paracrine functions in these cells, a hypothesis supported by our finding that breast cancer metastasis was reduced in mice with a myeloid specific knockout of CYP27A1. Importantly, pharmacologic inhibition of CYP27A1 reduced metastatic growth and improved the efficacy of checkpoint inhibitor, anti-PD-L1. Taken together, our work suggests that targeting the CYP27A1 axis in myeloid cells may present therapeutic benefits and improve the response rate to immune therapies in breast cancer.
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Affiliation(s)
- Liqian Ma
- Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Lawrence Wang
- Department of Biochemistry, University of Illinois Urbana-Champaign, Urbana, IL, USA; University of Illinois College of Medicine, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Adam T Nelson
- Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Chaeyeon Han
- Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Sisi He
- Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Madeline A Henn
- Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Karan Menon
- Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Joy J Chen
- Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Amy E Baek
- Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Anna Vardanyan
- Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Sayyed Hamed Shahoei
- Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Sunghee Park
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, USA
| | - David J Shapiro
- Department of Biochemistry, University of Illinois Urbana-Champaign, Urbana, IL, USA; Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, USA; University of Illinois Cancer Center, University of Illinois at Chicago, Chicago, IL, USA
| | - Som G Nanjappa
- Department of Pathobiology, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Erik R Nelson
- Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Cancer Center at Illinois, University of Illinois Urbana-Champaign, Urbana, IL, USA; University of Illinois Cancer Center, University of Illinois at Chicago, Chicago, IL, USA; Carl R. Woese Institute for Genomic Biology, Anticancer Discovery from Pets to People Theme, University of Illinois Urbana-Champaign, Urbana, IL, USA.
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428
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Li Y, Burgman B, McGrail DJ, Sun M, Qi D, Shukla SA, Wu E, Capasso A, Lin SY, Wu CJ, Eckhardt SG, Mills GB, Li B, Sahni N, Yi SS. Integrated Genomic Characterization of the Human Immunome in Cancer. Cancer Res 2020; 80:4854-4867. [PMID: 32855206 DOI: 10.1158/0008-5472.can-20-0384] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 07/10/2020] [Accepted: 08/24/2020] [Indexed: 12/15/2022]
Abstract
Alterations in immune-related pathways are common hallmarks of cancer. A comprehensive understanding of how cancer mutations rewire immune signaling networks and functional output across cancer types is instrumental to realize the full potential of immunotherapy. Here, we systematically interrogated somatic mutations involved in immune signaling that alter immune responses in patients with cancer. To do so, we developed a Network-based Integrative model to Prioritize Potential immune respondER genes (NIPPER). Identified mutations were enriched in essential protein domains and genes identified by NIPPER were associated with responsiveness to multiple immunotherapy modalities. These genes were used to devise an interactome network propagation framework integrated with drug-associated gene signatures to identify potential immunomodulatory drug candidates. Together, our systems-level analysis results help interpret the heterogeneous immune responses among patients and serve as a resource for future functional studies and targeted therapeutics. SIGNIFICANCE: This study demonstrates that integration of multi-omics data can help identify critical molecular determinants for effective targeted therapeutics.
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Affiliation(s)
- Yongsheng Li
- Department of Oncology, The University of Texas at Austin, Dell Medical School, Livestrong Cancer Institutes, Austin, Texas
| | - Brandon Burgman
- Department of Oncology, The University of Texas at Austin, Dell Medical School, Livestrong Cancer Institutes, Austin, Texas.,Institute for Cellular and Molecular Biology (ICMB), College of Natural Sciences, The University of Texas at Austin, Austin, Texas
| | - Daniel J McGrail
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ming Sun
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Dan Qi
- Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, Texas
| | - Sachet A Shukla
- Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - Erxi Wu
- Department of Oncology, The University of Texas at Austin, Dell Medical School, Livestrong Cancer Institutes, Austin, Texas.,Neuroscience Institute and Department of Neurosurgery, Baylor Scott & White Health, Temple, Texas.,Departments of Surgery and Pharmaceutical Sciences, Texas A & M University Health Science Center, Colleges of Medicine and Pharmacy, Temple, Texas
| | - Anna Capasso
- Department of Oncology, The University of Texas at Austin, Dell Medical School, Livestrong Cancer Institutes, Austin, Texas.,Institute for Cellular and Molecular Biology (ICMB), College of Natural Sciences, The University of Texas at Austin, Austin, Texas
| | - Shiaw-Yih Lin
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Catherine J Wu
- Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - S Gail Eckhardt
- Department of Oncology, The University of Texas at Austin, Dell Medical School, Livestrong Cancer Institutes, Austin, Texas.,Institute for Cellular and Molecular Biology (ICMB), College of Natural Sciences, The University of Texas at Austin, Austin, Texas
| | - Gordon B Mills
- Department of Cell, Developmental and Cancer Biology, School of Medicine, Oregon Health & Science University, Portland, Oregon.,Precision Oncology, Knight Cancer Institute, Portland, Oregon
| | - Bo Li
- Lyda Hill Department of Bioinformatics, Department of Immunology, UT Southwestern Medical Center, Dallas, Texas.
| | - Nidhi Sahni
- Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas. .,Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Smithville, Texas.,Quantitative and Computational Biosciences Program, Baylor College of Medicine, Houston, Texas
| | - S Stephen Yi
- Department of Oncology, The University of Texas at Austin, Dell Medical School, Livestrong Cancer Institutes, Austin, Texas. .,Institute for Cellular and Molecular Biology (ICMB), College of Natural Sciences, The University of Texas at Austin, Austin, Texas.,Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas.,Oden Institute for Computational Engineering and Sciences (ICES), The University of Texas at Austin, Austin, Texas
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429
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Hossain MA, Liu G, Dai B, Si Y, Yang Q, Wazir J, Birnbaumer L, Yang Y. Reinvigorating exhausted CD8 + cytotoxic T lymphocytes in the tumor microenvironment and current strategies in cancer immunotherapy. Med Res Rev 2020; 41:156-201. [PMID: 32844499 DOI: 10.1002/med.21727] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 06/26/2020] [Accepted: 08/11/2020] [Indexed: 02/06/2023]
Abstract
Immunotherapy has revolutionized the treatment of cancer in recent years and achieved overall success and long-term clinical benefit in patients with a wide variety of cancer types. However, there is still a large proportion of patients exhibiting limited or no responses to immunotherapeutic strategy, some of which were even observed with hyperprogressive disease. One major obstacle restricting the efficacy is that tumor-reactive CD8+ T cells, which are central for tumor control, undergo exhaustion, and lose their ability to eliminate cancer cells after infiltrating into the strongly immunosuppressive tumor microenvironment. Thus, as a potential therapeutic rationale in the development of cancer immunotherapy, targeting or reinvigorating exhausted CD8+ T cells has been attracting much interest. Hitherto, both intrinsic and extrinsic mechanisms that govern CD8+ T-cell exhaustion have been explored. Specifically, the transcriptional and epigenetic landscapes have been depicted utilizing single-cell RNA sequencing or mass cytometry (CyTOF). In addition, cellular metabolism dictating the tumor-infiltrating CD8+ T-cell fate is currently under investigation. A series of clinical trials are being carried out to further establish the current strategies targeting CD8+ T-cell exhaustion. Taken together, despite the proven benefit of immunotherapy in cancer patients, additional efforts are still needed to fully circumvent limitations of exhausted T cells in the treatment. In this review, we will focus on the current cellular and molecular understanding of metabolic changes, epigenetic remodeling, and transcriptional regulation in CD8+ T-cell exhaustion and describe hypothetical treatment approaches based on immunotherapy aiming at reinvigorating exhausted CD8+ T cells.
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Affiliation(s)
- Md Amir Hossain
- Center for New Drug Safety Evaluation and Research, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Guilai Liu
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Beiying Dai
- Center for New Drug Safety Evaluation and Research, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Yaxuan Si
- Center for New Drug Safety Evaluation and Research, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Qitao Yang
- Center for New Drug Safety Evaluation and Research, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Junaid Wazir
- Department of Clinical Pharmacy, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, China
| | - Lutz Birnbaumer
- Neurobiology Laboratory, National Institute of Environmental Health Sciences, Durham, North Carolina, USA.,Institute of Biomedical Research (BIOMED), Catholic University of Argentina, Buenos Aires, Argentina
| | - Yong Yang
- Center for New Drug Safety Evaluation and Research, State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, Jiangsu, China.,Department of Clinical Pharmacy, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu, China
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430
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Tong Y, Gao WQ, Liu Y. Metabolic heterogeneity in cancer: An overview and therapeutic implications. Biochim Biophys Acta Rev Cancer 2020; 1874:188421. [PMID: 32835766 DOI: 10.1016/j.bbcan.2020.188421] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 08/19/2020] [Accepted: 08/19/2020] [Indexed: 12/13/2022]
Abstract
Recent research on cancer metabolism has revealed that individual tumors have highly heterogeneous metabolic profiles that contribute to the connective metabolic networks within the tumor and its environment. Indeed, tumor-associated cells types, including tumor cells, cancer-associated fibroblasts (CAFs) and immune cells, reprogram their metabolism in many different ways due to diverse genetic backgrounds and complex environmental stimuli. This intratumoral metabolic heterogeneity and the derived metabolic interactions play an instrumental role in cancer progression. Understanding how this heterogeneity occurs may provide promising therapeutic strategies. Here, we review the diverse metabolic profiles of several important cell subpopulations in tumors and their impact on tumor progression and discuss the consequent metabolic interactions as well as the related therapeutic concerns.
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Affiliation(s)
- Yu Tong
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med-X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wei-Qiang Gao
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med-X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; School of Biomedical Engineering & Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China.
| | - Yanfeng Liu
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med-X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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431
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Ma Y, Zhang S, Jin Z, Shi M. Lipid-mediated regulation of the cancer-immune crosstalk. Pharmacol Res 2020; 161:105131. [PMID: 32810628 DOI: 10.1016/j.phrs.2020.105131] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/24/2020] [Accepted: 08/07/2020] [Indexed: 12/20/2022]
Abstract
Besides acting as principle cellular building blocks and energy reservoirs, lipids also carry important signals associated with many fundamental cell biological processes, such as proliferation, differentiation, migration, stress responses and cell demise. Hyperactive lipid metabolism is closely associated with cancer progression and unfavorable outcomes. The underlying mechanisms are being gradually deciphered. In this review, we aim to summarize recent advances on how reprogrammed lipid metabolism and accompanying signaling cascades directly modulate cancer cells, as well as influencing stromal cells and immune cells within the tumor microenvironment. For future studies, special attention should be paid to lipid-mediated crosstalk among cancer cells, their neighboring stromal cells, and immune cells, plus how these multi-level communications determine anti-tumor immunity and bring novel immunotherapeutic opportunities.
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Affiliation(s)
- Yuting Ma
- Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; Suzhou Institute of Systems Medicine, Suzhou, Jiangsu, China.
| | - Shuqing Zhang
- Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; Suzhou Institute of Systems Medicine, Suzhou, Jiangsu, China
| | - Ziqi Jin
- Center for Systems Medicine, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; Suzhou Institute of Systems Medicine, Suzhou, Jiangsu, China
| | - Minxin Shi
- The Affiliated Tumor Hospital of Nantong University, Nantong Tumor Hospital, Nantong, Jiangsu, China
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432
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Emerging role of metabolic reprogramming in tumor immune evasion and immunotherapy. SCIENCE CHINA-LIFE SCIENCES 2020; 64:534-547. [PMID: 32815067 DOI: 10.1007/s11427-019-1735-4] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 06/20/2020] [Indexed: 12/11/2022]
Abstract
Mounting evidence has revealed that the therapeutic efficacy of immunotherapies is restricted to a small portion of cancer patients. A deeper understanding of how metabolic reprogramming in the tumor microenvironment (TME) regulates immunity remains a major challenge to tumor eradication. It has been suggested that metabolic reprogramming in the TME may affect metabolism in immune cells and subsequently suppress immune function. Tumor cells compete with infiltrating immune cells for nutrients and metabolites. Notably, the immunosuppressive TME is characterized by catabolic and anabolic processes that are critical for immune cell function, and elevated inhibitory signals may favor cancer immune evasion. The major energy sources that supply different immune cell subtypes also undergo reprogramming. We herein summarize the metabolic remodeling in tumor cells and different immune cell subtypes and the latest advances underlying the use of metabolic checkpoints in antitumor immunotherapies. In this context, targeting both tumor and immune cell metabolic reprogramming may enhance therapeutic efficacy.
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433
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Bleve A, Durante B, Sica A, Consonni FM. Lipid Metabolism and Cancer Immunotherapy: Immunosuppressive Myeloid Cells at the Crossroad. Int J Mol Sci 2020; 21:ijms21165845. [PMID: 32823961 PMCID: PMC7461616 DOI: 10.3390/ijms21165845] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 08/11/2020] [Accepted: 08/13/2020] [Indexed: 12/14/2022] Open
Abstract
Cancer progression generates a chronic inflammatory state that dramatically influences hematopoiesis, originating different subsets of immune cells that can exert pro- or anti-tumor roles. Commitment towards one of these opposing phenotypes is driven by inflammatory and metabolic stimuli derived from the tumor-microenvironment (TME). Current immunotherapy protocols are based on the reprogramming of both specific and innate immune responses, in order to boost the intrinsic anti-tumoral activity of both compartments. Growing pre-clinical and clinical evidence highlights the key role of metabolism as a major influence on both immune and clinical responses of cancer patients. Indeed, nutrient competition (i.e., amino acids, glucose, fatty acids) between proliferating cancer cells and immune cells, together with inflammatory mediators, drastically affect the functionality of innate and adaptive immune cells, as well as their functional cross-talk. This review discusses new advances on the complex interplay between cancer-related inflammation, myeloid cell differentiation and lipid metabolism, highlighting the therapeutic potential of metabolic interventions as modulators of anticancer immune responses and catalysts of anticancer immunotherapy.
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Affiliation(s)
- Augusto Bleve
- Department of Pharmaceutical Sciences, Università del Piemonte Orientale “Amedeo Avogadro”, Largo Donegani, 2-28100 Novara, Italy; (A.B.); (B.D.); (F.M.C.)
| | - Barbara Durante
- Department of Pharmaceutical Sciences, Università del Piemonte Orientale “Amedeo Avogadro”, Largo Donegani, 2-28100 Novara, Italy; (A.B.); (B.D.); (F.M.C.)
| | - Antonio Sica
- Department of Pharmaceutical Sciences, Università del Piemonte Orientale “Amedeo Avogadro”, Largo Donegani, 2-28100 Novara, Italy; (A.B.); (B.D.); (F.M.C.)
- Humanitas Clinical and Research Center–IRCCS–, via Manzoni 56, Rozzano, 20089 Milan, Italy
- Correspondence: ; Tel.: +39-(0)-321-375881; Fax: +39-(0)-321-375821
| | - Francesca Maria Consonni
- Department of Pharmaceutical Sciences, Università del Piemonte Orientale “Amedeo Avogadro”, Largo Donegani, 2-28100 Novara, Italy; (A.B.); (B.D.); (F.M.C.)
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434
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Bai R, Chen N, Li L, Du N, Bai L, Lv Z, Tian H, Cui J. Mechanisms of Cancer Resistance to Immunotherapy. Front Oncol 2020; 10:1290. [PMID: 32850400 PMCID: PMC7425302 DOI: 10.3389/fonc.2020.01290] [Citation(s) in RCA: 155] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 06/22/2020] [Indexed: 12/16/2022] Open
Abstract
Over the last decade, based on the extensive development of preclinical animal studies and clinical trials, the efficacy, and mechanisms of immunotherapy have been fully explored. Significant and lasting clinical responses with immunotherapy provide a new breakthrough treatment for a variety of refractory cancer histologies, which gradually change the treatment pattern of tumors. However, although immune checkpoint inhibitor drugs are promising for achieving longer-term efficacy, their benefits in the overall population are still very low, such as low frequency of response in some common tumor types such as breast and prostate, and heterogeneity in the degree of response among different tumor lesions in the same patient, making immunotherapy with many limitations and challenges. Most patients do not respond to immunotherapy or inevitably develop resistance to treatment after a period of treatment, manifesting with primary resistance or acquired resistance who initially respond to treatment. The mechanisms of tumor immune resistance are very complex and involve multiple aspects such as genes, metabolism, inflammation, and abnormal neovascularization. Currently, many mechanisms of immunotherapy resistance have been characterized, and more continue to be uncovered. These efforts can improve the quality of medical care for cancer diagnosis and treatment, which improve the quality of life of patients, and finally lead to accurate individualized treatment. This review discusses mechanisms of cancer immunotherapy resistance including tumor-intrinsic factors and tumor-extrinsic factors.
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Affiliation(s)
| | | | | | | | | | | | | | - Jiuwei Cui
- Cancer Center, The First Hospital of Jilin University, Changchun, China
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435
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Wang W, Zhu N, Yan T, Shi YN, Chen J, Zhang CJ, Xie XJ, Liao DF, Qin L. The crosstalk: exosomes and lipid metabolism. Cell Commun Signal 2020; 18:119. [PMID: 32746850 PMCID: PMC7398059 DOI: 10.1186/s12964-020-00581-2] [Citation(s) in RCA: 97] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Accepted: 04/13/2020] [Indexed: 02/08/2023] Open
Abstract
Exosomes have been considered as novel and potent vehicles of intercellular communication, instead of "cell dust". Exosomes are consistent with anucleate cells, and organelles with lipid bilayer consisting of the proteins and abundant lipid, enhancing their "rigidity" and "flexibility". Neighboring cells or distant cells are capable of exchanging genetic or metabolic information via exosomes binding to recipient cell and releasing bioactive molecules, such as lipids, proteins, and nucleic acids. Of note, exosomes exert the remarkable effects on lipid metabolism, including the synthesis, transportation and degradation of the lipid. The disorder of lipid metabolism mediated by exosomes leads to the occurrence and progression of diseases, such as atherosclerosis, cancer, non-alcoholic fatty liver disease (NAFLD), obesity and Alzheimer's diseases and so on. More importantly, lipid metabolism can also affect the production and secretion of exosomes, as well as interactions with the recipient cells. Therefore, exosomes may be applied as effective targets for diagnosis and treatment of diseases. Video abstract.
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Affiliation(s)
- Wei Wang
- School of Pharmacy, Hanpu Science and Education District, Hunan University of Chinese Medicine, 300 Xueshi Road, Changsha, 410208, Hunan, China.,Division of Stem Cell Regulation and Application, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Neng Zhu
- The First Affiliated Hospital, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Tao Yan
- School of Pharmacy, Hanpu Science and Education District, Hunan University of Chinese Medicine, 300 Xueshi Road, Changsha, 410208, Hunan, China.,Division of Stem Cell Regulation and Application, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Ya-Ning Shi
- School of Pharmacy, Hanpu Science and Education District, Hunan University of Chinese Medicine, 300 Xueshi Road, Changsha, 410208, Hunan, China.,Division of Stem Cell Regulation and Application, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Jing Chen
- Department of Neurosurgery in Changsha, 921 hospital, joint service support force of People's Liberation Army, Changsha, China
| | - Chan-Juan Zhang
- School of Pharmacy, Hanpu Science and Education District, Hunan University of Chinese Medicine, 300 Xueshi Road, Changsha, 410208, Hunan, China.,Division of Stem Cell Regulation and Application, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Xue-Jiao Xie
- College of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Duan-Fang Liao
- School of Pharmacy, Hanpu Science and Education District, Hunan University of Chinese Medicine, 300 Xueshi Road, Changsha, 410208, Hunan, China. .,Division of Stem Cell Regulation and Application, Hunan University of Chinese Medicine, Changsha, Hunan, China.
| | - Li Qin
- School of Pharmacy, Hanpu Science and Education District, Hunan University of Chinese Medicine, 300 Xueshi Road, Changsha, 410208, Hunan, China. .,Division of Stem Cell Regulation and Application, Hunan University of Chinese Medicine, Changsha, Hunan, China.
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436
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Abstract
The maintenance of organismal homeostasis requires partitioning and transport of biochemical molecules between organ systems, their composite cells, and subcellular organelles. Although transcriptional programming undeniably defines the functional state of cells and tissues, underlying biochemical networks are intricately intertwined with transcriptional, translational, and post-translational regulation. Studies of the metabolic regulation of immunity have elegantly illustrated this phenomenon. The cells of the immune system interface with a diverse set of environmental conditions. Circulating immune cells perfuse peripheral organs in the blood and lymph, patrolling for pathogen invasion. Resident immune cells remain in tissues and play more newly appreciated roles in tissue homeostasis and immunity. Each of these cell populations interacts with unique and dynamic tissue environments, which vary greatly in biochemical composition. Furthermore, the effector response of immune cells to a diverse set of activating cues requires unique cellular adaptations to supply the requisite biochemical landscape. In this review, we examine the role of spatial partitioning of metabolic processes in immune function. We focus on studies of lymphocyte metabolism, with reference to the greater immunometabolism literature when appropriate to illustrate this concept.
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Affiliation(s)
- Justin A Shyer
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Richard A Flavell
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
| | - Will Bailis
- Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
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437
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Cholesterol metabolism: New functions and therapeutic approaches in cancer. Biochim Biophys Acta Rev Cancer 2020; 1874:188394. [PMID: 32698040 DOI: 10.1016/j.bbcan.2020.188394] [Citation(s) in RCA: 159] [Impact Index Per Article: 39.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 07/08/2020] [Accepted: 07/12/2020] [Indexed: 02/05/2023]
Abstract
Cholesterol and its metabolites (precursors and derivatives) play an important role in cancer. In recent years, numerous studies have reported the functions of cholesterol metabolism in the regulation of tumor biological processes, especially oncogenic signaling pathways, ferroptosis, and tumor microenvironment. Preclinical studies have over the years indicated the inhibitory effects of blocking cholesterol synthesis and uptake on tumor formation and growth. Besides, some new cholesterol metabolic molecules such as SOAT1, SQLE, and NPC1 have recently emerged as promising drug targets for cancer treatment. Here, we systematically review the roles of cholesterol and its metabolites, and the latest advances in cancer therapy targeting cholesterol metabolism.
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438
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Sillito F, Holler A, Stauss HJ. Engineering CD4+ T Cells to Enhance Cancer Immunity. Cells 2020; 9:cells9071721. [PMID: 32708397 PMCID: PMC7407306 DOI: 10.3390/cells9071721] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/10/2020] [Accepted: 07/16/2020] [Indexed: 12/30/2022] Open
Abstract
This review presents key advances in combining T cell receptor (TCR) gene transfer to redirect T-cell specificity with gene engineering in order to enhance cancer-protective immune function. We discuss how emerging insights might be applied to CD4+ T cells. Although much attention has been paid to the role of CD8+ cytotoxic T cells in tumour protection, we provide convincing evidence that CD4+ helper T cells play a critical role in cancer immune responses in animal models and also in patients. We demonstrate that genetic engineering technologies provide exciting opportunities to extend the specificity range of CD4+ T cells from MHC class-II-presented epitopes to include peptides presented by MHC class I molecules. Functional enhancement of tumour immunity can improve the sensitivity of T cells to cancer antigens, promote survival in a hostile tumour microenvironment, boost cancer-protective effector mechanisms and enable the formation of T-cell memory. Engineered cancer-specific CD4+ T cells may contribute to protective immunity by a direct pathway involving cancer cell killing, and by an indirect pathway that boosts the function, persistence and memory formation of CD8+ T cells.
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Affiliation(s)
- Francesca Sillito
- Division of Infection and Immunity, Institute of Immunity and Transplantation, University College London, Royal Free Hospital, London NW3 2PF, UK
- Correspondence: (F.S.); (H.J.S.)
| | - Angelika Holler
- Cancer Institute, Royal Free Hospital, University College London, London NW3 2PF, UK;
| | - Hans J. Stauss
- Cancer Institute, Royal Free Hospital, University College London, London NW3 2PF, UK;
- Correspondence: (F.S.); (H.J.S.)
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439
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Hu F, Huang D, Luo Y, Zhou P, Lv C, Wang K, Weng Q, Liu X, Guan Y, Geng Y, Du J, Chen J, Wang J, Wu H. Hematopoietic lineage-converted T cells carrying tumor-associated antigen-recognizing TCRs effectively kill tumor cells. J Immunother Cancer 2020; 8:jitc-2019-000498. [PMID: 32669292 PMCID: PMC7368548 DOI: 10.1136/jitc-2019-000498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/16/2020] [Indexed: 11/04/2022] Open
Abstract
Tumor-associated antigen (TAA) T-cell receptor (TCR) gene-engineered T cells exhibit great potential in antitumor immunotherapy. Considering the high costs and low availability of patient-derived peripheral blood T cells, substantial efforts have been made to explore alternatives to natural T cells. We previously reported that enforced expression of Hoxb5 converted B cells into induced T (iT) cells in vivo Here, we successfully regenerated naive OT1 (major histocompatibility complex I restricted ovalbumin antigen) iT cells (OT1-iT) in vivo by expressing Hoxb5 in pro-pre-B cells in the OT1 transgenic mouse. The OT1-iT cells can be activated and expanded in vitro in the presence of tumor cells. Particularly, these regenerated OT1-iT cells effectively eradicated tumor cells expressing the TAA (ovalbumin) both in vitro and in vivo This study provides insights into the translational applications of blood lineage-transdifferentiated T cells in immunotherapy.
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Affiliation(s)
- Fangxiao Hu
- School of Life Sciences, University of Science and Technology of China, Hefei, Anhui, China.,CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Stem cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China
| | - Dehao Huang
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Stem cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yuxuan Luo
- Department of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou, Guangdong, China
| | - Peiqing Zhou
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Stem cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Cui Lv
- School of Life Sciences, University of Science and Technology of China, Hefei, Anhui, China.,CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Stem cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China
| | - Kaitao Wang
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Stem cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Qitong Weng
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Stem cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xiaofei Liu
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Stem cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou, Guangdong, China
| | - Yuxian Guan
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Stem cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China
| | - Yang Geng
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Stem cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou, Guangdong, China
| | - Juan Du
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Stem cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou, Guangdong, China
| | - Jiekai Chen
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Stem cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou, Guangdong, China
| | - Jinyong Wang
- School of Life Sciences, University of Science and Technology of China, Hefei, Anhui, China .,CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangdong Provincial Key Laboratory of Stem cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,University of Chinese Academy of Sciences, Beijing, China.,Joint School of Life Sciences, Guangzhou Medical University, Guangzhou, Guangdong, China.,Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou, Guangdong, China.,Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
| | - Hongling Wu
- CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China .,Guangdong Provincial Key Laboratory of Stem cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, Guangdong, China.,Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL), Guangzhou, Guangdong, China
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440
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Waddington KE, Papadaki A, Coelewij L, Adriani M, Nytrova P, Kubala Havrdova E, Fogdell-Hahn A, Farrell R, Dönnes P, Pineda-Torra I, Jury EC. Using Serum Metabolomics to Predict Development of Anti-drug Antibodies in Multiple Sclerosis Patients Treated With IFNβ. Front Immunol 2020; 11:1527. [PMID: 32765529 PMCID: PMC7380268 DOI: 10.3389/fimmu.2020.01527] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 06/10/2020] [Indexed: 12/14/2022] Open
Abstract
Background: Neutralizing anti-drug antibodies (ADA) can greatly reduce the efficacy of biopharmaceuticals used to treat patients with multiple sclerosis (MS). However, the biological factors pre-disposing an individual to develop ADA are poorly characterized. Thus, there is an unmet clinical need for biomarkers to predict the development of immunogenicity, and subsequent treatment failure. Up to 35% of MS patients treated with beta interferons (IFNβ) develop ADA. Here we use machine learning to predict immunogenicity against IFNβ utilizing serum metabolomics data. Methods: Serum samples were collected from 89 MS patients as part of the ABIRISK consortium-a multi-center prospective study of ADA development. Metabolites and ADA were quantified prior to and after IFNβ treatment. Thirty patients became ADA positive during the first year of treatment (ADA+). We tested the efficacy of six binary classification models using 10-fold cross validation; k-nearest neighbors, decision tree, random forest, support vector machine and lasso (Least Absolute Shrinkage and Selection Operator) logistic regression with and without interactions. Results: We were able to predict future immunogenicity from baseline metabolomics data. Lasso logistic regression with/without interactions and support vector machines were the most successful at identifying ADA+ or ADA- cases, respectively. Furthermore, patients who become ADA+ had a distinct metabolic response to IFNβ in the first 3 months, with 29 differentially regulated metabolites. Machine learning algorithms could also predict ADA status based on metabolite concentrations at 3 months. Lasso logistic regressions had the greatest proportion of correct classifications [F1 score (accuracy measure) = 0.808, specificity = 0.913]. Finally, we hypothesized that serum lipids could contribute to ADA development by altering immune-cell lipid rafts. This was supported by experimental evidence demonstrating that, prior to IFNβ exposure, lipid raft-associated lipids were differentially expressed between MS patients who became ADA+ or remained ADA-. Conclusion: Serum metabolites are a promising biomarker for prediction of ADA development in MS patients treated with IFNβ, and could provide novel insight into mechanisms of immunogenicity.
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Affiliation(s)
- Kirsty E. Waddington
- Centre for Rheumatology, University College London, London, United Kingdom
- Centre for Cardiometabolic and Vascular Medicine, University College London, London, United Kingdom
| | - Artemis Papadaki
- Centre for Rheumatology, University College London, London, United Kingdom
| | - Leda Coelewij
- Centre for Rheumatology, University College London, London, United Kingdom
- Centre for Cardiometabolic and Vascular Medicine, University College London, London, United Kingdom
| | - Marsilio Adriani
- Centre for Rheumatology, University College London, London, United Kingdom
| | - Petra Nytrova
- Department of Neurology and Centre of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Eva Kubala Havrdova
- Department of Neurology and Centre of Clinical Neuroscience, General University Hospital and First Faculty of Medicine, Charles University in Prague, Prague, Czechia
| | - Anna Fogdell-Hahn
- Department of Clinical Neuroscience, Center for Molecular Medicine (CMM), Karolinska Institutet, Karolinska University Hospital, Huddinge, Sweden
| | - Rachel Farrell
- Department of Neuroinflammation, University College London, Institute of Neurology and National Hospital of Neurology and Neurosurgery, London, United Kingdom
| | - Pierre Dönnes
- Centre for Rheumatology, University College London, London, United Kingdom
- Scicross AB, Skövde, Sweden
| | - Inés Pineda-Torra
- Centre for Cardiometabolic and Vascular Medicine, University College London, London, United Kingdom
| | - Elizabeth C. Jury
- Centre for Rheumatology, University College London, London, United Kingdom
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441
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Luo Y, Liu L, Li X, Shi Y. Avasimibe inhibits the proliferation, migration and invasion of glioma cells by suppressing linc00339. Biomed Pharmacother 2020; 130:110508. [PMID: 32682982 DOI: 10.1016/j.biopha.2020.110508] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Revised: 06/26/2020] [Accepted: 07/04/2020] [Indexed: 02/06/2023] Open
Abstract
Glioma is one of the most destructive human tumours. Although standard treatment has improved the prognosis for glioma patients, the survival of glioma patients is still unsatisfactory. Avasimibe, an effective inhibitor of cholesterol acyltransferase 1 (ACAT1), has shown anti-tumour efficacy in many kinds of tumours. However, its role and related mechanism in glioma has not been fully elucidated. In the present study, we show that avasimibe effectively inhibits the proliferation, migration and invasion of glioma cell lines. Through LncRNA microarrays, we found that linc00339 levels were closely related to the anti-tumour effect of avasimibe. With the help of a series of functional assays, we show that avasimibe inhibits the proliferation, migration and invasion of glioma cell lines by suppressing linc00339 in vitro and in vivo. Our findings may provide a new approach for glioma therapy.
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Affiliation(s)
- Yidan Luo
- School of Pharmacy, Nanjing Medical University, Nanjing 210006, China; Department of Neurosurgery, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Liang Liu
- Department of Neurosurgery, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Xiaojian Li
- Department of Neurosurgery, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Yan Shi
- Department of Neurosurgery, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China.
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442
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Aguilar-Ballester M, Herrero-Cervera A, Vinué Á, Martínez-Hervás S, González-Navarro H. Impact of Cholesterol Metabolism in Immune Cell Function and Atherosclerosis. Nutrients 2020; 12:nu12072021. [PMID: 32645995 PMCID: PMC7400846 DOI: 10.3390/nu12072021] [Citation(s) in RCA: 81] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 06/29/2020] [Accepted: 07/02/2020] [Indexed: 12/24/2022] Open
Abstract
Cholesterol, the most important sterol in mammals, helps maintain plasma membrane fluidity and is a precursor of bile acids, oxysterols, and steroid hormones. Cholesterol in the body is obtained from the diet or can be de novo synthetized. Cholesterol homeostasis is mainly regulated by the liver, where cholesterol is packed in lipoproteins for transport through a tightly regulated process. Changes in circulating lipoprotein cholesterol levels lead to atherosclerosis development, which is initiated by an accumulation of modified lipoproteins in the subendothelial space; this induces significant changes in immune cell differentiation and function. Beyond lesions, cholesterol levels also play important roles in immune cells such as monocyte priming, neutrophil activation, hematopoietic stem cell mobilization, and enhanced T cell production. In addition, changes in cholesterol intracellular metabolic enzymes or transporters in immune cells affect their signaling and phenotype differentiation, which can impact on atherosclerosis development. In this review, we describe the main regulatory pathways and mechanisms of cholesterol metabolism and how these affect immune cell generation, proliferation, activation, and signaling in the context of atherosclerosis.
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Affiliation(s)
- María Aguilar-Ballester
- INCLIVA Institute of Health Research, 46010 Valencia, Spain; (M.A.-B.); (A.H.-C.); (Á.V.); (S.M.-H.)
| | - Andrea Herrero-Cervera
- INCLIVA Institute of Health Research, 46010 Valencia, Spain; (M.A.-B.); (A.H.-C.); (Á.V.); (S.M.-H.)
| | - Ángela Vinué
- INCLIVA Institute of Health Research, 46010 Valencia, Spain; (M.A.-B.); (A.H.-C.); (Á.V.); (S.M.-H.)
| | - Sergio Martínez-Hervás
- INCLIVA Institute of Health Research, 46010 Valencia, Spain; (M.A.-B.); (A.H.-C.); (Á.V.); (S.M.-H.)
- Endocrinology and Nutrition Department Clinic Hospital and Department of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
| | - Herminia González-Navarro
- INCLIVA Institute of Health Research, 46010 Valencia, Spain; (M.A.-B.); (A.H.-C.); (Á.V.); (S.M.-H.)
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain
- Department of Didactics of Experimental and Social Sciences, University of Valencia, 46010 Valencia, Spain
- Correspondence: ; Tel.: +34-963864403; Fax: +34-963987860
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443
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Sun B, Hyun H, Li LT, Wang AZ. Harnessing nanomedicine to overcome the immunosuppressive tumor microenvironment. Acta Pharmacol Sin 2020; 41:970-985. [PMID: 32424240 PMCID: PMC7470849 DOI: 10.1038/s41401-020-0424-4] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 04/20/2020] [Indexed: 02/06/2023] Open
Abstract
Cancer immunotherapy has received extensive attention due to its ability to activate the innate or adaptive immune systems of patients to combat tumors. Despite a few clinical successes, further endeavors are still needed to tackle unresolved issues, including limited response rates, development of resistance, and immune-related toxicities. Accumulating evidence has pinpointed the tumor microenvironment (TME) as one of the major obstacles in cancer immunotherapy due to its detrimental impacts on tumor-infiltrating immune cells. Nanomedicine has been battling with the TME in the past several decades, and the experience obtained could be exploited to improve current paradigms of immunotherapy. Here, we discuss the metabolic features of the TME and its influence on different types of immune cells. The recent progress in nanoenabled cancer immunotherapy has been summarized with a highlight on the modulation of immune cells, tumor stroma, cytokines and enzymes to reverse the immunosuppressive TME.
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444
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RORα Regulates Cholesterol Metabolism of CD8 + T Cells for Anticancer Immunity. Cancers (Basel) 2020; 12:cancers12071733. [PMID: 32610705 PMCID: PMC7407186 DOI: 10.3390/cancers12071733] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 06/24/2020] [Accepted: 06/26/2020] [Indexed: 12/15/2022] Open
Abstract
Retinoic acid-related orphan receptor α (RORα) functions as a transcription factor for various biological processes, including circadian rhythm, inflammation, cancer, and lipid metabolism. Here, we demonstrate that RORα is crucial for maintaining cholesterol homeostasis in CD8+ T cells by attenuating NF-κB transcriptional activity. Cholesterol sulfate, the established natural agonist of RORα, exhibits cellular cytotoxicity on, and increased effector responses in, CD8+ T cells. Transcript analysis reveals that the suppression of RORα leads to the upregulation of NF-κB target genes in T cells. Chromatin immunoprecipitation analysis was used to determine the corecruitment of RORα and histone deacetylase (HDAC) on NF-κB target promoters and the subsequent dismissal of coactivators for transcriptional repression. We demonstrate that RORα/HDAC-mediated attenuation of NF-κB signaling controls the balance of cholesterol metabolism in CD8+ T cells, and that therapeutic strategies targeting this epigenetic regulation could be beneficial to the treatment of solid tumors including colon cancers.
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445
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Le-Tian Z, Cheng-Zhang H, Xuan Z, Zhang Q, Zhen-Gui Y, Qing-Qing W, Sheng-Xuan W, Zhong-Jin X, Ran-Ran L, Ting-Jun L, Zhong-Qu S, Zhong-Hua W, Ke-Rong S. Protein acetylation in mitochondria plays critical functions in the pathogenesis of fatty liver disease. BMC Genomics 2020; 21:435. [PMID: 32586350 PMCID: PMC7318365 DOI: 10.1186/s12864-020-06837-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 06/16/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Fatty liver is a high incidence of perinatal disease in dairy cows caused by negative energy balance, which seriously threatens the postpartum health and milk production. It has been reported that lysine acetylation plays an important role in substance and energy metabolism. Predictably, most metabolic processes in the liver, as a vital metabolic organ, are subjected to acetylation. Comparative acetylome study were used to quantify the hepatic tissues from the severe fatty liver group and normal group. Combined with bioinformatics analysis, this study provides new insights for the role of acetylation modification in fatty liver disease of dairy cows. RESULTS We identified 1841 differential acetylation sites on 665 proteins. Among of them, 1072 sites on 393 proteins were quantified. Functional enrichment analysis shows that higher acetylated proteins are significantly enriched in energy metabolic pathways, while lower acetylated proteins are significantly enriched in pathways related to immune response, such as drug metabolism and cancer. Among significantly acetylated proteins, many mitochondrial proteins were identified to be interacting with multiple proteins and involving in lipid metabolism. Furthermore, this study identified potential important proteins, such as HADHA, ACAT1, and EHHADH, which may be important regulatory factors through modification of acetylation in the development of fatty liver disease in dairy cows and possible therapeutic targets for NAFLD in human beings. CONCLUSION This study provided a comprehensive acetylome profile of fatty liver of dairy cows, and revealed important biological pathways associated with protein acetylation occurred in mitochondria, which were involved in the regulation of the pathogenesis of fatty liver disease. Furthermore, potential important proteins, such as HADHA, ACAT1, EHHADH, were predicted to be essential regulators during the pathogenesis of fatty liver disease. The work would contribute to the understanding the pathogenesis of NAFLD, and inspire in the development of new therapeutic strategies for NAFLD.
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Affiliation(s)
- Zhang Le-Tian
- Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, College of Animal Science and Technology, Shandong Agricultural University, No. 61 Daizong Street, Taian, Shandong, 271018, P. R. China
| | - Hu Cheng-Zhang
- Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, College of Animal Science and Technology, Shandong Agricultural University, No. 61 Daizong Street, Taian, Shandong, 271018, P. R. China
| | - Zhang Xuan
- Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, College of Animal Science and Technology, Shandong Agricultural University, No. 61 Daizong Street, Taian, Shandong, 271018, P. R. China
| | - Qin Zhang
- Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, College of Animal Science and Technology, Shandong Agricultural University, No. 61 Daizong Street, Taian, Shandong, 271018, P. R. China
| | - Yan Zhen-Gui
- Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, College of Animal Science and Technology, Shandong Agricultural University, No. 61 Daizong Street, Taian, Shandong, 271018, P. R. China
| | - Wei Qing-Qing
- Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, College of Animal Science and Technology, Shandong Agricultural University, No. 61 Daizong Street, Taian, Shandong, 271018, P. R. China
| | - Wang Sheng-Xuan
- Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, College of Animal Science and Technology, Shandong Agricultural University, No. 61 Daizong Street, Taian, Shandong, 271018, P. R. China
| | - Xu Zhong-Jin
- Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, College of Animal Science and Technology, Shandong Agricultural University, No. 61 Daizong Street, Taian, Shandong, 271018, P. R. China
| | - Li Ran-Ran
- Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, College of Animal Science and Technology, Shandong Agricultural University, No. 61 Daizong Street, Taian, Shandong, 271018, P. R. China
| | - Liu Ting-Jun
- Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, College of Animal Science and Technology, Shandong Agricultural University, No. 61 Daizong Street, Taian, Shandong, 271018, P. R. China
| | - Su Zhong-Qu
- Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, College of Animal Science and Technology, Shandong Agricultural University, No. 61 Daizong Street, Taian, Shandong, 271018, P. R. China
| | - Wang Zhong-Hua
- Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, College of Animal Science and Technology, Shandong Agricultural University, No. 61 Daizong Street, Taian, Shandong, 271018, P. R. China
| | - Shi Ke-Rong
- Shandong Key Laboratory of Animal Bioengineering and Disease Prevention, College of Animal Science and Technology, Shandong Agricultural University, No. 61 Daizong Street, Taian, Shandong, 271018, P. R. China.
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446
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Yvan-Charvet L, Bonacina F, Guinamard RR, Norata GD. Immunometabolic function of cholesterol in cardiovascular disease and beyond. Cardiovasc Res 2020; 115:1393-1407. [PMID: 31095280 DOI: 10.1093/cvr/cvz127] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 03/20/2019] [Accepted: 05/07/2019] [Indexed: 12/16/2022] Open
Abstract
Inflammation represents the driving feature of many diseases, including atherosclerosis, cancer, autoimmunity and infections. It is now established that metabolic processes shape a proper immune response and within this context the alteration in cellular cholesterol homeostasis has emerged as a culprit of many metabolic abnormalities observed in chronic inflammatory diseases. Cholesterol accumulation supports the inflammatory response of myeloid cells (i.e. augmentation of toll-like receptor signalling, inflammasome activation, and production of monocytes and neutrophils) which is beneficial in the response to infections, but worsens diseases associated with chronic metabolic inflammation including atherosclerosis. In addition to the innate immune system, cells of adaptive immunity, upon activation, have also been shown to undergo a reprogramming of cellular cholesterol metabolism, which results in the amplification of inflammatory responses. Aim of this review is to discuss (i) the molecular mechanisms linking cellular cholesterol metabolism to specific immune functions; (ii) how cellular cholesterol accumulation sustains chronic inflammatory diseases such as atherosclerosis; (iii) the immunometabolic profile of patients with defects of genes affecting cholesterol metabolism including familial hypercholesterolaemia, cholesteryl ester storage disease, Niemann-Pick type C, and immunoglobulin D syndrome/mevalonate kinase deficiency. Available data indicate that cholesterol immunometabolism plays a key role in directing immune cells function and set the stage for investigating the repurposing of existing 'metabolic' drugs to modulate the immune response.
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Affiliation(s)
- Laurent Yvan-Charvet
- Institut National de la Santé et de la Recherche Médicale (Inserm) U1065, Université Côte d'Azur, Centre Méditerranéen de Médecine Moléculaire (C3M), Fédération Hospitalo-Universitaire (FHU) Oncoage, Nice, France
| | - Fabrizia Bonacina
- Department of Excellence of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy
| | - Rodolphe Renè Guinamard
- Institut National de la Santé et de la Recherche Médicale (Inserm) U1065, Université Côte d'Azur, Centre Méditerranéen de Médecine Moléculaire (C3M), Fédération Hospitalo-Universitaire (FHU) Oncoage, Nice, France
| | - Giuseppe Danilo Norata
- Institut National de la Santé et de la Recherche Médicale (Inserm) U1065, Université Côte d'Azur, Centre Méditerranéen de Médecine Moléculaire (C3M), Fédération Hospitalo-Universitaire (FHU) Oncoage, Nice, France.,Center for the Study of Atherosclerosis, E. Bassini Hospital, Cinisello Balsamo, Milan, Italy
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447
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Abstract
Immune checkpoint therapies aiming to enhance T cell responses have revolutionized cancer immunotherapy. However, although a small fraction of patients develops durable anti-tumor responses, the majority of patients display only transient responses, underlying the need for finding auxiliary approaches. Tumor microenvironment poses a major metabolic barrier to efficient anti-tumor T cell activity. As it is now well accepted that metabolism regulates T cell fate and function, harnessing metabolism may be a new strategy to potentiate T cell-based immunotherapies.
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448
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Santarpia M, Aguilar A, Chaib I, Cardona AF, Fancelli S, Laguia F, Bracht JWP, Cao P, Molina-Vila MA, Karachaliou N, Rosell R. Non-Small-Cell Lung Cancer Signaling Pathways, Metabolism, and PD-1/PD-L1 Antibodies. Cancers (Basel) 2020; 12:E1475. [PMID: 32516941 PMCID: PMC7352732 DOI: 10.3390/cancers12061475] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 05/25/2020] [Accepted: 06/01/2020] [Indexed: 12/16/2022] Open
Abstract
Treatment of advanced (metastatic) non-small-cell lung cancer (NSCLC) is currently mainly based on immunotherapy with antibodies against PD-1 or PD-L1, alone, or in combination with chemotherapy. In locally advanced NSCLC and in early resected stages, immunotherapy is also employed. Tumor PD-L1 expression by immunohistochemistry is considered the standard practice. Response rate is low, with median progression free survival very short in the vast majority of studies reported. Herein, numerous biological facets of NSCLC are described involving driver genetic lesions, mutations ad fusions, PD-L1 glycosylation, ferroptosis and metabolic rewiring in NSCLC and lung adenocarcinoma (LUAD). Novel concepts, such as immune-transmitters and the effect of neurotransmitters in immune evasion and tumor growth, the nascent relevance of necroptosis and pyroptosis, possible new biomarkers, such as gasdermin D and gasdermin E, the conundrum of K-Ras mutations in LUADs, with the growing recognition of liver kinase B1 (LKB1) and metabolic pathways, including others, are also commented. The review serves to charter diverse treatment solutions, depending on the main altered signaling pathways, in order to have effectual immunotherapy. Tumor PDCD1 gene (encoding PD-1) has been recently described, in equilibrium with tumor PD-L1 (encoded by PDCD1LG1). Such description explains tumor hyper-progression, which has been reported in several studies, and poises the fundamental criterion that IHC PD-L1 expression as a biomarker should be revisited.
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Affiliation(s)
- Mariacarmela Santarpia
- Department of Human Pathology “G. Barresi”, Medical Oncology Unit, University of Messina, 98122 Messina, Italy;
| | - Andrés Aguilar
- Instituto Oncológico Dr Rosell, Hospital Universitario Quirón-Dexeus, 08028 Barcelona, Spain;
| | - Imane Chaib
- Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), 08916 Badalona, Spain; (I.C.); (S.F.); (F.L.)
| | - Andrés Felipe Cardona
- Foundation for Clinical and Applied Cancer Research-FICMAC Translational Oncology, Bogotá 100110, Colombia;
| | - Sara Fancelli
- Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), 08916 Badalona, Spain; (I.C.); (S.F.); (F.L.)
| | - Fernando Laguia
- Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), 08916 Badalona, Spain; (I.C.); (S.F.); (F.L.)
| | | | - Peng Cao
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China;
| | - Miguel Angel Molina-Vila
- Pangaea Oncology, Hospital Universitario Quirón-Dexeus, 08028 Barcelona, Spain; (J.W.P.B.); (M.A.M.-V.)
| | | | - Rafael Rosell
- Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), 08916 Badalona, Spain; (I.C.); (S.F.); (F.L.)
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449
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Manipulation of Metabolic Pathways and Its Consequences for Anti-Tumor Immunity: A Clinical Perspective. Int J Mol Sci 2020; 21:ijms21114030. [PMID: 32512898 PMCID: PMC7312891 DOI: 10.3390/ijms21114030] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 05/28/2020] [Accepted: 06/01/2020] [Indexed: 02/06/2023] Open
Abstract
In the relatively short history of anti-tumor treatment, numerous medications have been developed against a variety of targets. Intriguingly, although many anti-tumor strategies have failed in their clinical trials, metformin, an anti-diabetic medication, demonstrated anti-tumor effects in observational studies and even showed its synergistic potential with immune checkpoint inhibitors (ICIs) in subsequent clinical studies. Looking back from bedside-to-bench, it may not be surprising that the anti-tumor effect of metformin derives largely from its ability to rewire aberrant metabolic pathways within the tumor microenvironment. As one of the most promising breakthroughs in oncology, ICIs were also found to exert their immune-stimulatory effects at least partly via rewiring metabolic pathways. These findings underscore the importance of correcting metabolic pathways to achieve sufficient anti-tumor immunity. Herein, we start by introducing the tumor microenvironment, and then we review the implications of metabolic syndrome and treatments for targeting metabolic pathways in anti-tumor therapies. We further summarize the close associations of certain aberrant metabolic pathways with impaired anti-tumor immunity and introduce the therapeutic effects of targeting these routes. Lastly, we go through the metabolic effects of ICIs and conclude an overall direction to manipulate metabolic pathways in favor of anti-tumor responses.
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450
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Shi R, Tang Y, Miao H. Metabolism in tumor microenvironment: Implications for cancer immunotherapy. MedComm (Beijing) 2020; 1:47-68. [PMID: 34766109 PMCID: PMC8489668 DOI: 10.1002/mco2.6] [Citation(s) in RCA: 81] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 04/15/2020] [Accepted: 04/16/2020] [Indexed: 12/12/2022] Open
Abstract
Tumor microenvironment is a special environment for tumor survival, which is characterized by hypoxia, acidity, nutrient deficiency, and immunosuppression. The environment consists of the vasculature, immune cells, extracellular matrix, and proteins or metabolic molecules. A large number of recent studies have shown that not only tumor cells but also the immune cells in the tumor microenvironment have undergone metabolic reprogramming, which is closely related to tumor drug resistance and malignant progression. Tumor immunotherapy based on T cells gives patients new hope, but faces the dilemma of low response rate. New strategies sensitizing cancer immunotherapy are urgently needed. Metabolic reprogramming can directly affect the biological activity of tumor cells and also regulate the differentiation and activation of immune cells. The authors aim to review the characteristics of tumor microenvironment, the metabolic changes of tumor‐associated immune cells, and the regulatory role of metabolic reprogramming in cancer immunotherapy.
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Affiliation(s)
- Rongchen Shi
- Department of Biochemistry and Molecular BiologyThird Military Medical University (Army Medical University) Chongqing People's Republic of China
| | - Yi‐Quan Tang
- MRC Laboratory of Molecular BiologyCambridge Biomedical Campus Cambridge UK
| | - Hongming Miao
- Department of Biochemistry and Molecular BiologyThird Military Medical University (Army Medical University) Chongqing People's Republic of China
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