1
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Khosravi G, Mostafavi S, Bastan S, Ebrahimi N, Gharibvand RS, Eskandari N. Immunologic tumor microenvironment modulators for turning cold tumors hot. Cancer Commun (Lond) 2024; 44:521-553. [PMID: 38551889 PMCID: PMC11110955 DOI: 10.1002/cac2.12539] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 03/03/2024] [Accepted: 03/12/2024] [Indexed: 05/23/2024] Open
Abstract
Tumors can be classified into distinct immunophenotypes based on the presence and arrangement of cytotoxic immune cells within the tumor microenvironment (TME). Hot tumors, characterized by heightened immune activity and responsiveness to immune checkpoint inhibitors (ICIs), stand in stark contrast to cold tumors, which lack immune infiltration and remain resistant to therapy. To overcome immune evasion mechanisms employed by tumor cells, novel immunologic modulators have emerged, particularly ICIs targeting cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and programmed cell death protein 1/programmed death-ligand 1(PD-1/PD-L1). These agents disrupt inhibitory signals and reactivate the immune system, transforming cold tumors into hot ones and promoting effective antitumor responses. However, challenges persist, including primary resistance to immunotherapy, autoimmune side effects, and tumor response heterogeneity. Addressing these challenges requires innovative strategies, deeper mechanistic insights, and a combination of immune interventions to enhance the effectiveness of immunotherapies. In the landscape of cancer medicine, where immune cold tumors represent a formidable hurdle, understanding the TME and harnessing its potential to reprogram the immune response is paramount. This review sheds light on current advancements and future directions in the quest for more effective and safer cancer treatment strategies, offering hope for patients with immune-resistant tumors.
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Affiliation(s)
- Gholam‐Reza Khosravi
- Department of Medical ImmunologySchool of MedicineIsfahan University of Medical SciencesIsfahanIran
| | - Samaneh Mostafavi
- Department of ImmunologyFaculty of Medical SciencesTarbiat Modares UniversityTehranIran
| | - Sanaz Bastan
- Department of Medical ImmunologySchool of MedicineIsfahan University of Medical SciencesIsfahanIran
| | - Narges Ebrahimi
- Department of Medical ImmunologySchool of MedicineIsfahan University of Medical SciencesIsfahanIran
| | - Roya Safari Gharibvand
- Department of ImmunologySchool of MedicineAhvaz Jundishapur University of Medical SciencesAhvazIran
| | - Nahid Eskandari
- Department of Medical ImmunologySchool of MedicineIsfahan University of Medical SciencesIsfahanIran
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Dong X, Xia S, Du S, Zhu MH, Lai X, Yao SQ, Chen HZ, Fang C. Tumor Metabolism-Rewriting Nanomedicines for Cancer Immunotherapy. ACS CENTRAL SCIENCE 2023; 9:1864-1893. [PMID: 37901179 PMCID: PMC10604035 DOI: 10.1021/acscentsci.3c00702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Indexed: 10/31/2023]
Abstract
Cancer immunotherapy has become an established therapeutic paradigm in oncologic therapy, but its therapeutic efficacy remains unsatisfactory in the majority of cancer patients. Accumulating evidence demonstrates that the metabolically hostile tumor microenvironment (TME), characterized by acidity, deprivation of oxygen and nutrients, and accumulation of immunosuppressive metabolites, promotes the dysfunction of tumor-infiltrating immune cells (TIICs) and thereby compromises the effectiveness of immunotherapy. This indicates the potential role of tumor metabolic intervention in the reinvigoration of antitumor immunity. With the merits of multiple drug codelivery, cell and organelle-specific targeting, controlled drug release, and multimodal therapy, tumor metabolism-rewriting nanomedicines have recently emerged as an attractive strategy to strengthen antitumor immune responses. This review summarizes the current progress in the development of multifunctional tumor metabolism-rewriting nanomedicines for evoking antitumor immunity. A special focus is placed on how these nanomedicines reinvigorate innate or adaptive antitumor immunity by regulating glucose metabolism, amino acid metabolism, lipid metabolism, and nucleotide metabolism at the tumor site. Finally, the prospects and challenges in this emerging field are discussed.
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Affiliation(s)
- Xiao Dong
- Department
of Pharmacy, School of Medicine, Shanghai
University, Shanghai 200444, China
| | - Shu Xia
- Department
of Pharmacy, School of Medicine, Shanghai
University, Shanghai 200444, China
| | - Shubo Du
- School
of Bioengineering, Dalian University of
Technology, Dalian 116024, China
| | - Mao-Hua Zhu
- Hongqiao
International Institute of Medicine, Tongren Hospital and State Key
Laboratory of Systems Medicine for Cancer, Department of Pharmacology
and Chemical Biology, Shanghai Jiao Tong
University School of Medicine, Shanghai, 200025 China
| | - Xing Lai
- Hongqiao
International Institute of Medicine, Tongren Hospital and State Key
Laboratory of Systems Medicine for Cancer, Department of Pharmacology
and Chemical Biology, Shanghai Jiao Tong
University School of Medicine, Shanghai, 200025 China
| | - Shao Q. Yao
- Department
of Chemistry, National University of Singapore, Singapore 117543, Singapore
| | - Hong-Zhuan Chen
- Institute
of Interdisciplinary Integrative Biomedical Research, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203 China
| | - Chao Fang
- Hongqiao
International Institute of Medicine, Tongren Hospital and State Key
Laboratory of Systems Medicine for Cancer, Department of Pharmacology
and Chemical Biology, Shanghai Jiao Tong
University School of Medicine, Shanghai, 200025 China
- Key
Laboratory of Basic Pharmacology of Ministry of Education & Joint
International Research Laboratory of Ethnomedicine of Ministry of
Education, Zunyi Medical University, Zunyi 563003, China
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3
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Gelbach PE, Finley SD. Genome-scale modeling predicts metabolic differences between macrophage subtypes in colorectal cancer. iScience 2023; 26:107569. [PMID: 37664588 PMCID: PMC10474475 DOI: 10.1016/j.isci.2023.107569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/24/2023] [Accepted: 08/07/2023] [Indexed: 09/05/2023] Open
Abstract
Colorectal cancer (CRC) shows high incidence and mortality, partly due to the tumor microenvironment (TME), which is viewed as an active promoter of disease progression. Macrophages are among the most abundant cells in the TME. These immune cells are generally categorized as M1, with inflammatory and anti-cancer properties, or M2, which promote tumor proliferation and survival. Although the M1/M2 subclassification scheme is strongly influenced by metabolism, the metabolic divergence between the subtypes remains poorly understood. Therefore, we generated a suite of computational models that characterize the M1- and M2-specific metabolic states. Our models show key differences between the M1 and M2 metabolic networks and capabilities. We leverage the models to identify metabolic perturbations that cause the metabolic state of M2 macrophages to more closely resemble M1 cells. Overall, this work increases understanding of macrophage metabolism in CRC and elucidates strategies to promote the metabolic state of anti-tumor macrophages.
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Affiliation(s)
- Patrick E. Gelbach
- Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Stacey D. Finley
- Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA
- Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089, USA
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4
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Laubach K, Turan T, Mathew R, Wilsbacher J, Engelhardt J, Samayoa J. Tumor-intrinsic metabolic reprogramming and how it drives resistance to anti-PD-1/PD-L1 treatment. CANCER DRUG RESISTANCE (ALHAMBRA, CALIF.) 2023; 6:611-641. [PMID: 37842241 PMCID: PMC10571065 DOI: 10.20517/cdr.2023.60] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/15/2023] [Accepted: 08/29/2023] [Indexed: 10/17/2023]
Abstract
The development of immune checkpoint blockade (ICB) therapies has been instrumental in advancing the field of immunotherapy. Despite the prominence of these treatments, many patients exhibit primary or acquired resistance, rendering them ineffective. For example, anti-programmed cell death protein 1 (anti-PD-1)/anti-programmed cell death ligand 1 (anti-PD-L1) treatments are widely utilized across a range of cancer indications, but the response rate is only 10%-30%. As such, it is necessary for researchers to identify targets and develop drugs that can be used in combination with existing ICB therapies to overcome resistance. The intersection of cancer, metabolism, and the immune system has gained considerable traction in recent years as a way to comprehensively study the mechanisms that drive oncogenesis, immune evasion, and immunotherapy resistance. As a result, new research is continuously emerging in support of targeting metabolic pathways as an adjuvant to ICB to boost patient response and overcome resistance. Due to the plethora of studies in recent years highlighting this notion, this review will integrate the relevant articles that demonstrate how tumor-derived alterations in energy, amino acid, and lipid metabolism dysregulate anti-tumor immune responses and drive resistance to anti-PD-1/PD-L1 therapy.
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Affiliation(s)
- Kyra Laubach
- Computational Oncology, AbbVie, South San Francisco, CA 94080, USA
- Immuno-Oncology, AbbVie, South San Francisco, CA 94080, USA
| | - Tolga Turan
- Computational Oncology, AbbVie, South San Francisco, CA 94080, USA
| | - Rebecca Mathew
- Immuno-Oncology, AbbVie, South San Francisco, CA 94080, USA
| | | | | | - Josue Samayoa
- Computational Oncology, AbbVie, South San Francisco, CA 94080, USA
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5
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Moffett AS, Deng Y, Levine H. Modeling the Role of Immune Cell Conversion in the Tumor-Immune Microenvironment. Bull Math Biol 2023; 85:93. [PMID: 37658264 PMCID: PMC10474003 DOI: 10.1007/s11538-023-01201-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 08/17/2023] [Indexed: 09/03/2023]
Abstract
Tumors develop in a complex physical, biochemical, and cellular milieu, referred to as the tumor microenvironment. Of special interest is the set of immune cells that reciprocally interact with the tumor, the tumor-immune microenvironment (TIME). The diversity of cell types and cell-cell interactions in the TIME has led researchers to apply concepts from ecology to describe the dynamics. However, while tumor cells are known to induce immune cells to switch from anti-tumor to pro-tumor phenotypes, this type of ecological interaction has been largely overlooked. To address this gap in cancer modeling, we develop a minimal, ecological model of the TIME with immune cell conversion, to highlight this important interaction and explore its consequences. A key finding is that immune conversion increases the range of parameters supporting a co-existence phase in which the immune system and the tumor reach a stalemate. Our results suggest that further investigation of the consequences of immune cell conversion, using detailed, data-driven models, will be critical for greater understanding of TIME dynamics.
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Affiliation(s)
- Alexander S. Moffett
- Center for Theoretical Biological Physics, Northeastern University, Boston, MA 02115 USA
- Department of Physics, Northeastern University, Boston, MA 02115 USA
| | - Youyuan Deng
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77005 USA
- Applied Physics Graduate Program, Smalley-Curl Institute, Rice University, Houston, TX 77005 USA
| | - Herbert Levine
- Center for Theoretical Biological Physics, Northeastern University, Boston, MA 02115 USA
- Department of Physics, Northeastern University, Boston, MA 02115 USA
- Department of Bioengineering, Northeastern University, Boston, MA 02115 USA
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6
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Ahmad A, Khan P, Rehman AU, Batra SK, Nasser MW. Immunotherapy: an emerging modality to checkmate brain metastasis. Mol Cancer 2023; 22:111. [PMID: 37454123 PMCID: PMC10349473 DOI: 10.1186/s12943-023-01818-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 07/06/2023] [Indexed: 07/18/2023] Open
Abstract
The diagnosis of brain metastasis (BrM) has historically been a dooming diagnosis that is nothing less than a death sentence, with few treatment options for palliation or prolonging life. Among the few treatment options available, brain radiotherapy (RT) and surgical resection have been the backbone of therapy. Within the past couple of years, immunotherapy (IT), alone and in combination with traditional treatments, has emerged as a reckoning force to combat the spread of BrM and shrink tumor burden. This review compiles recent reports describing the potential role of IT in the treatment of BrM in various cancers. It also examines the impact of the tumor microenvironment of BrM on regulating the spread of cancer and the role IT can play in mitigating that spread. Lastly, this review also focuses on the future of IT and new clinical trials pushing the boundaries of IT in BrM.
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Affiliation(s)
- Aatiya Ahmad
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA
| | - Parvez Khan
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA
| | - Asad Ur Rehman
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA
| | - Surinder Kumar Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198, USA
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE-68198, USA
| | - Mohd Wasim Nasser
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE-68198, USA.
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
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7
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Yang L, Chu Z, Liu M, Zou Q, Li J, Liu Q, Wang Y, Wang T, Xiang J, Wang B. Amino acid metabolism in immune cells: essential regulators of the effector functions, and promising opportunities to enhance cancer immunotherapy. J Hematol Oncol 2023; 16:59. [PMID: 37277776 DOI: 10.1186/s13045-023-01453-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 05/13/2023] [Indexed: 06/07/2023] Open
Abstract
Amino acids are basic nutrients for immune cells during organ development, tissue homeostasis, and the immune response. Regarding metabolic reprogramming in the tumor microenvironment, dysregulation of amino acid consumption in immune cells is an important underlying mechanism leading to impaired anti-tumor immunity. Emerging studies have revealed that altered amino acid metabolism is tightly linked to tumor outgrowth, metastasis, and therapeutic resistance through governing the fate of various immune cells. During these processes, the concentration of free amino acids, their membrane bound transporters, key metabolic enzymes, and sensors such as mTOR and GCN2 play critical roles in controlling immune cell differentiation and function. As such, anti-cancer immune responses could be enhanced by supplement of specific essential amino acids, or targeting the metabolic enzymes or their sensors, thereby developing novel adjuvant immune therapeutic modalities. To further dissect metabolic regulation of anti-tumor immunity, this review summarizes the regulatory mechanisms governing reprogramming of amino acid metabolism and their effects on the phenotypes and functions of tumor-infiltrating immune cells to propose novel approaches that could be exploited to rewire amino acid metabolism and enhance cancer immunotherapy.
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Affiliation(s)
- Luming Yang
- Chongqing University Medical School, Chongqing, 400044, People's Republic of China
- Department of Gastroenterology and Chongqing Key Laboratory of Digestive Malignancies, Daping Hospital, Army Medical University (Third Military Medical University), 10# Changjiang Branch Road, Yuzhong District, Chongqing, 400042, People's Republic of China
| | - Zhaole Chu
- Department of Gastroenterology and Chongqing Key Laboratory of Digestive Malignancies, Daping Hospital, Army Medical University (Third Military Medical University), 10# Changjiang Branch Road, Yuzhong District, Chongqing, 400042, People's Republic of China
| | - Meng Liu
- Chongqing University Medical School, Chongqing, 400044, People's Republic of China
- Department of Gastroenterology and Chongqing Key Laboratory of Digestive Malignancies, Daping Hospital, Army Medical University (Third Military Medical University), 10# Changjiang Branch Road, Yuzhong District, Chongqing, 400042, People's Republic of China
| | - Qiang Zou
- Chongqing University Medical School, Chongqing, 400044, People's Republic of China
- Department of Gastroenterology and Chongqing Key Laboratory of Digestive Malignancies, Daping Hospital, Army Medical University (Third Military Medical University), 10# Changjiang Branch Road, Yuzhong District, Chongqing, 400042, People's Republic of China
| | - Jinyang Li
- Department of Gastroenterology and Chongqing Key Laboratory of Digestive Malignancies, Daping Hospital, Army Medical University (Third Military Medical University), 10# Changjiang Branch Road, Yuzhong District, Chongqing, 400042, People's Republic of China
| | - Qin Liu
- Department of Gastroenterology and Chongqing Key Laboratory of Digestive Malignancies, Daping Hospital, Army Medical University (Third Military Medical University), 10# Changjiang Branch Road, Yuzhong District, Chongqing, 400042, People's Republic of China
| | - Yazhou Wang
- Chongqing University Medical School, Chongqing, 400044, People's Republic of China.
| | - Tao Wang
- Department of Gastroenterology and Chongqing Key Laboratory of Digestive Malignancies, Daping Hospital, Army Medical University (Third Military Medical University), 10# Changjiang Branch Road, Yuzhong District, Chongqing, 400042, People's Republic of China.
| | - Junyu Xiang
- Department of Gastroenterology and Chongqing Key Laboratory of Digestive Malignancies, Daping Hospital, Army Medical University (Third Military Medical University), 10# Changjiang Branch Road, Yuzhong District, Chongqing, 400042, People's Republic of China.
| | - Bin Wang
- Department of Gastroenterology and Chongqing Key Laboratory of Digestive Malignancies, Daping Hospital, Army Medical University (Third Military Medical University), 10# Changjiang Branch Road, Yuzhong District, Chongqing, 400042, People's Republic of China.
- Institute of Pathology and Southwest Cancer Center, Key Laboratory of Tumor Immunopathology of Ministry of Education of China, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, People's Republic of China.
- Jinfeng Laboratory, Chongqing, 401329, People's Republic of China.
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Nabhan M, Egan D, Kreileder M, Zhernovkov V, Timosenko E, Slidel T, Dovedi S, Glennon K, Brennan D, Kolch W. Deciphering the tumour immune microenvironment cell by cell. IMMUNO-ONCOLOGY TECHNOLOGY 2023; 18:100383. [PMID: 37234284 PMCID: PMC10206805 DOI: 10.1016/j.iotech.2023.100383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Immune checkpoint inhibitors (ICIs) have rejuvenated therapeutic approaches in oncology. Although responses tend to be durable, response rates vary in many cancer types. Thus, the identification and validation of predictive biomarkers is a key clinical priority, the answer to which is likely to lie in the tumour microenvironment (TME). A wealth of data demonstrates the huge impact of the TME on ICI response and resistance. However, these data also reveal the complexity of the TME composition including the spatiotemporal interactions between different cell types and their dynamic changes in response to ICIs. Here, we briefly review some of the modalities that sculpt the TME, in particular the metabolic milieu, hypoxia and the role of cancer-associated fibroblasts. We then discuss recent approaches to dissect the TME with a focus on single-cell RNA sequencing, spatial transcriptomics and spatial proteomics. We also discuss some of the clinically relevant findings these multi-modal analyses have yielded.
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Affiliation(s)
- M. Nabhan
- Systems Biology Ireland, School of Medicine, University College Dublin, Belfield, Ireland
| | - D. Egan
- Systems Biology Ireland, School of Medicine, University College Dublin, Belfield, Ireland
| | - M. Kreileder
- Systems Biology Ireland, School of Medicine, University College Dublin, Belfield, Ireland
| | - V. Zhernovkov
- Systems Biology Ireland, School of Medicine, University College Dublin, Belfield, Ireland
| | - E. Timosenko
- ICC, Research and Early Development, Oncology R&D, AstraZeneca, Cambridge, , UK
| | - T. Slidel
- Oncology Data Science, Research and Early Development, Oncology R&D, AstraZeneca, Cambridge, UK
| | - S. Dovedi
- ICC, Research and Early Development, Oncology R&D, AstraZeneca, Cambridge, , UK
| | - K. Glennon
- UCD Gynaecological Oncology Group, UCD School of Medicine Mater Misericordiae University Hospital, Dublin, Ireland
| | - D. Brennan
- Systems Biology Ireland, School of Medicine, University College Dublin, Belfield, Ireland
- UCD Gynaecological Oncology Group, UCD School of Medicine Mater Misericordiae University Hospital, Dublin, Ireland
| | - W. Kolch
- Systems Biology Ireland, School of Medicine, University College Dublin, Belfield, Ireland
- Conway Institute of Biomolecular & Biomedical Research, University College Dublin, Belfield, Ireland
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Schrom E, Kinzig A, Forrest S, Graham AL, Levin SA, Bergstrom CT, Castillo-Chavez C, Collins JP, de Boer RJ, Doupé A, Ensafi R, Feldman S, Grenfell BT, Halderman JA, Huijben S, Maley C, Moses M, Perelson AS, Perrings C, Plotkin J, Rexford J, Tiwari M. Challenges in cybersecurity: Lessons from biological defense systems. Math Biosci 2023:109024. [PMID: 37270102 DOI: 10.1016/j.mbs.2023.109024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 04/27/2023] [Accepted: 05/20/2023] [Indexed: 06/05/2023]
Abstract
Defending against novel, repeated, or unpredictable attacks, while avoiding attacks on the 'self', are the central problems of both mammalian immune systems and computer systems. Both systems have been studied in great detail, but with little exchange of information across the different disciplines. Here, we present a conceptual framework for structured comparisons across the fields of biological immunity and cybersecurity, by framing the context of defense, considering different (combinations of) defensive strategies, and evaluating defensive performance. Throughout this paper, we pose open questions for further exploration. We hope to spark the interdisciplinary discovery of general principles of optimal defense, which can be understood and applied in biological immunity, cybersecurity, and other defensive realms.
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Affiliation(s)
- Edward Schrom
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, United States of America
| | - Ann Kinzig
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, United States of America
| | - Stephanie Forrest
- Biodesign Center for Biocomputation, Security and Society, Arizona State University, Tempe, AZ 85287, United States of America; School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85287, United States of America; Santa Fe Institute, Santa Fe, NM 87501, United States of America
| | - Andrea L Graham
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, United States of America; Santa Fe Institute, Santa Fe, NM 87501, United States of America
| | - Simon A Levin
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, United States of America.
| | - Carl T Bergstrom
- Department of Biology, University of Washington, Seattle, WA 98195, United States of America
| | - Carlos Castillo-Chavez
- School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, United States of America
| | - James P Collins
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, United States of America
| | - Rob J de Boer
- Theoretical Biology and Bioinformatics, Utrecht University, 3584 CH Utrecht, The Netherlands
| | - Adam Doupé
- School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85287, United States of America; Center for Cybersecurity and Trusted Foundations, Global Security Initiative, Arizona State University, Tempe, AZ 85287, United States of America
| | - Roya Ensafi
- Department of Electrical Engineering and Computer Science, Computer Science and Engineering Division, University of Michigan, Ann Arbor, MI 48109, United States of America
| | - Stuart Feldman
- Schmidt Futures, New York, NY 10011, United States of America
| | - Bryan T Grenfell
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, United States of America; Princeton School of Public and International Affairs, Princeton University, Princeton, NJ 08544, United States of America
| | - J Alex Halderman
- Department of Electrical Engineering and Computer Science, Computer Science and Engineering Division, University of Michigan, Ann Arbor, MI 48109, United States of America; Center for Computer Security and Society, University of Michigan, Ann Arbor, MI 48109, United States of America
| | - Silvie Huijben
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, United States of America
| | - Carlo Maley
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ 85287, United States of America; Biodesign Center for Biocomputation, Security and Society, Arizona State University, Tempe, AZ 85287, United States of America
| | - Melanie Moses
- Department of Computer Science, University of New Mexico, Albuquerque, NM 87131, United States of America; Department of Biology, University of New Mexico, Albuquerque, NM 87131, United States of America; Santa Fe Institute, Santa Fe, NM 87501, United States of America
| | - Alan S Perelson
- Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87545, United States of America; Santa Fe Institute, Santa Fe, NM 87501, United States of America
| | - Charles Perrings
- School of Life Sciences, Arizona State University, Tempe, AZ 85287, United States of America
| | - Joshua Plotkin
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, United States of America
| | - Jennifer Rexford
- Department of Computer Science, Princeton University, Princeton, NJ 08540, United States of America
| | - Mohit Tiwari
- Department of Electrical and Computer Engineering, University of Texas, Austin, TX 78712, United States of America
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10
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Heaton AR, Rehani PR, Hoefges A, Lopez AF, Erbe AK, Sondel PM, Skala MC. Single cell metabolic imaging of tumor and immune cells in vivo in melanoma bearing mice. Front Oncol 2023; 13:1110503. [PMID: 37020875 PMCID: PMC10067577 DOI: 10.3389/fonc.2023.1110503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 03/02/2023] [Indexed: 03/22/2023] Open
Abstract
Introduction Metabolic reprogramming of cancer and immune cells occurs during tumorigenesis and has a significant impact on cancer progression. Unfortunately, current techniques to measure tumor and immune cell metabolism require sample destruction and/or cell isolations that remove the spatial context. Two-photon fluorescence lifetime imaging microscopy (FLIM) of the autofluorescent metabolic coenzymes nicotinamide adenine dinucleotide (phosphate) (NAD(P)H) and flavin adenine dinucleotide (FAD) provides in vivo images of cell metabolism at a single cell level. Methods Here, we report an immunocompetent mCherry reporter mouse model for immune cells that express CD4 either during differentiation or CD4 and/or CD8 in their mature state and perform in vivo imaging of immune and cancer cells within a syngeneic B78 melanoma model. We also report an algorithm for single cell segmentation of mCherry-expressing immune cells within in vivo images. Results We found that immune cells within B78 tumors exhibited decreased FAD mean lifetime and an increased proportion of bound FAD compared to immune cells within spleens. Tumor infiltrating immune cell size also increased compared to immune cells from spleens. These changes are consistent with a shift towards increased activation and proliferation in tumor infiltrating immune cells compared to immune cells from spleens. Tumor infiltrating immune cells exhibited increased FAD mean lifetime and increased protein-bound FAD lifetime compared to B78 tumor cells within the same tumor. Single cell metabolic heterogeneity was observed in both immune and tumor cells in vivo. Discussion This approach can be used to monitor single cell metabolic heterogeneity in tumor cells and immune cells to study promising treatments for cancer in the native in vivo context.
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Affiliation(s)
- Alexa R. Heaton
- Morgridge Institute for Research, Madison, WI, United States
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
| | - Peter R. Rehani
- Morgridge Institute for Research, Madison, WI, United States
| | - Anna Hoefges
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
| | - Angelica F. Lopez
- Department of Biomedical Engineering, University of Wisconsin, Madison, WI, United States
| | - Amy K. Erbe
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
| | - Paul M. Sondel
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
- Department of Pediatrics, University of Wisconsin, Madison, WI, United States
| | - Melissa C. Skala
- Morgridge Institute for Research, Madison, WI, United States
- Department of Biomedical Engineering, University of Wisconsin, Madison, WI, United States
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11
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Hu Z, Wang G, Zhang R, Yang Y, Wang J, Hu J, Reheman A. Sustained-release behavior and the antitumor effect of charge-convertible poly(amino acid)s drug-loaded nanoparticles. Drug Deliv Transl Res 2023:10.1007/s13346-023-01323-w. [PMID: 36913103 DOI: 10.1007/s13346-023-01323-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/28/2023] [Indexed: 03/14/2023]
Abstract
Enhancing tissue permeability and achieving drug aggregation is the key to targeted tumor therapy. A series triblock copolymers of poly(ethylene glycol)-poly(L-lysine)-poly(L-glutamine) were synthesized by ring-opening polymerization, and charge-convertible nano-delivery system was constructed by loading doxorubicin (DOX) with 2-(hexaethylimide) ethanol on side chain. In normal environment (pH = 7.4), the zeta potential of the drug-loaded nanoparticle solution is negative, which is conducive to avoiding the identification and clearance of nanoparticles by the reticulo-endothelial system, while potential-reversal can be achieved in the tumor microenvironment, which effectively promotes cellular uptake. Nanoparticles could effectively reduce the distribution of DOX in normal tissues and achieve targeted aggregation at tumor sites, which can effectively improve the antitumor effect, while would not causing toxicity and damage to normal body.
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Affiliation(s)
- Zhuang Hu
- Center for Molecular Science and Engineering, College of Science, Northeastern University, Shenyang, 110819, People's Republic of China
| | - Gongshu Wang
- Center for Molecular Science and Engineering, College of Science, Northeastern University, Shenyang, 110819, People's Republic of China
| | - Rui Zhang
- Center for Molecular Science and Engineering, College of Science, Northeastern University, Shenyang, 110819, People's Republic of China
| | - Yingyu Yang
- Fujian Key Laboratory of Toxicant and Drug Toxicology, Medical College, Ningde Normal University, Ningde, Fujian, 352100, People's Republic of China
| | - Jiwei Wang
- Fujian Key Laboratory of Toxicant and Drug Toxicology, Medical College, Ningde Normal University, Ningde, Fujian, 352100, People's Republic of China.
| | - Jianshe Hu
- Center for Molecular Science and Engineering, College of Science, Northeastern University, Shenyang, 110819, People's Republic of China.
| | - Aikebaier Reheman
- Fujian Province University Engineering Research Center of Mindong She Medicine, Medical College, Ningde Normal University, Ningde, Fujian, 352100, People's Republic of China
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12
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Gelbach PE, Finley SD. Ensemble-based genome-scale modeling predicts metabolic differences between macrophage subtypes in colorectal cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.09.532000. [PMID: 36993493 PMCID: PMC10052244 DOI: 10.1101/2023.03.09.532000] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
1Colorectal cancer (CRC) shows high incidence and mortality, partly due to the tumor microenvironment, which is viewed as an active promoter of disease progression. Macrophages are among the most abundant cells in the tumor microenvironment. These immune cells are generally categorized as M1, with inflammatory and anti-cancer properties, or M2, which promote tumor proliferation and survival. Although the M1/M2 subclassification scheme is strongly influenced by metabolism, the metabolic divergence between the subtypes remains poorly understood. Therefore, we generated a suite of computational models that characterize the M1- and M2-specific metabolic states. Our models show key differences between the M1 and M2 metabolic networks and capabilities. We leverage the models to identify metabolic perturbations that cause the metabolic state of M2 macrophages to more closely resemble M1 cells. Overall, this work increases understanding of macrophage metabolism in CRC and elucidates strategies to promote the metabolic state of anti-tumor macrophages.
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Affiliation(s)
- Patrick E. Gelbach
- Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Stacey D. Finley
- Alfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA
- Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089, USA
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13
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Liao C, Liu X, Zhang C, Zhang Q. Tumor hypoxia: From basic knowledge to therapeutic implications. Semin Cancer Biol 2023; 88:172-186. [PMID: 36603793 PMCID: PMC9929926 DOI: 10.1016/j.semcancer.2022.12.011] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 12/07/2022] [Accepted: 12/31/2022] [Indexed: 01/04/2023]
Abstract
Diminished oxygen availability, termed hypoxia, within solid tumors is one of the most common characteristics of cancer. Hypoxia shapes the landscape of the tumor microenvironment (TME) into a pro-tumorigenic and pro-metastatic niche through arrays of pathological alterations such as abnormal vasculature, altered metabolism, immune-suppressive phenotype, etc. In addition, emerging evidence suggests that limited efficacy or the development of resistance towards antitumor therapy may be largely due to the hypoxic TME. This review will focus on summarizing the knowledge about the molecular machinery that mediates the hypoxic cellular responses and adaptations, as well as highlighting the effects and consequences of hypoxia, especially for angiogenesis regulation, cellular metabolism alteration, and immunosuppressive response within the TME. We also outline the current advances in novel therapeutic implications through targeting hypoxia in TME. A deep understanding of the basics and the role of hypoxia in the tumor will help develop better therapeutic avenues in cancer treatment.
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Affiliation(s)
- Chengheng Liao
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Xijuan Liu
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC 27599, USA
| | - Cheng Zhang
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Qing Zhang
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
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14
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Choi SYC, Ribeiro CF, Wang Y, Loda M, Plymate SR, Uo T. Druggable Metabolic Vulnerabilities Are Exposed and Masked during Progression to Castration Resistant Prostate Cancer. Biomolecules 2022; 12:1590. [PMID: 36358940 PMCID: PMC9687810 DOI: 10.3390/biom12111590] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 10/26/2022] [Accepted: 10/27/2022] [Indexed: 08/27/2023] Open
Abstract
There is an urgent need for exploring new actionable targets other than androgen receptor to improve outcome from lethal castration-resistant prostate cancer. Tumor metabolism has reemerged as a hallmark of cancer that drives and supports oncogenesis. In this regard, it is important to understand the relationship between distinctive metabolic features, androgen receptor signaling, genetic drivers in prostate cancer, and the tumor microenvironment (symbiotic and competitive metabolic interactions) to identify metabolic vulnerabilities. We explore the links between metabolism and gene regulation, and thus the unique metabolic signatures that define the malignant phenotypes at given stages of prostate tumor progression. We also provide an overview of current metabolism-based pharmacological strategies to be developed or repurposed for metabolism-based therapeutics for castration-resistant prostate cancer.
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Affiliation(s)
- Stephen Y. C. Choi
- Vancouver Prostate Centre, Vancouver, BC V6H 3Z6, Canada
- Department of Urologic Sciences, Faculty of Medicine, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
- Department of Experimental Therapeutics, BC Cancer Agency, Vancouver, BC V5Z 1L3, Canada
| | - Caroline Fidalgo Ribeiro
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY 10021, USA
| | - Yuzhuo Wang
- Vancouver Prostate Centre, Vancouver, BC V6H 3Z6, Canada
- Department of Urologic Sciences, Faculty of Medicine, University of British Columbia, Vancouver, BC V5Z 1M9, Canada
- Department of Experimental Therapeutics, BC Cancer Agency, Vancouver, BC V5Z 1L3, Canada
| | - Massimo Loda
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York-Presbyterian Hospital, New York, NY 10021, USA
- New York Genome Center, New York, NY 10013, USA
| | - Stephen R. Plymate
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington, 850 Republican St., Seattle, WA 98109, USA
- Geriatrics Research Education and Clinical Center, VA Puget Sound Health Care System, Seattle, WA 98108, USA
| | - Takuma Uo
- Division of Gerontology and Geriatric Medicine, Department of Medicine, University of Washington, 850 Republican St., Seattle, WA 98109, USA
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15
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Wu F, Chen H, Liu R, Suo Y, Li Q, Zhang Y, Liu H, Cheng Z, Chang Y. Modulation of the Tumor Immune Microenvironment by Bi 2 Te 3 -Au/Pd-Based Theranostic Nanocatalysts Enables Efficient Cancer Therapy. Adv Healthc Mater 2022; 11:e2200809. [PMID: 35848849 DOI: 10.1002/adhm.202200809] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 07/12/2022] [Indexed: 01/27/2023]
Abstract
Nanozymes with multienzyme-mimicking activities have shown great potential in cancer therapy due to their ability to modulate the complex tumor microenvironment (TME). Herein, a second near-infrared (NIR-II) photothermal-nanocatalyst by decorating Bi2 Te3 nanosheets with ultrasmall Au/Pd bimetallic nanoparticles (Bi2 Te3 -Au/Pd) to reverse the immunosuppressive TME is developed. The peroxidase (POD)-like and catalase (CAT)-like activities, and glutathione (GSH) consumption capacity of Au/Pd modulates the TME by disrupting the intracellular redox homeostasis and relieving hypoxia in the TME. Notably, the amplified oxidative stress induces the accumulation of lipid hydroperoxides (LPO) for enhanced ferroptosis. Moreover, upon NIR-II photoirradiation at 1064 nm, the localized heat generated by Bi2 Te3 not only directly ablates the cancer cells but also enhances the Au/Pd-mediated catalysis-mediated cancer therapy. Furthermore, both in vitro and in vivo studies confirm that the Bi2 Te3 -Au/Pd nanocatalysts (BAP NCs) can effectively suppress tumor growth by inducing immunogenic cell death (ICD), and suppressing metastasis and recurrence by the synergistic treatment. Overall, this study provides a promising theranostic strategy for effective tumor inhibition.
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Affiliation(s)
- Fengxia Wu
- Institute of Molecular Medicine, College of Life and Health Sciences, Northeastern University, Shenyang, Liaoning, 110000, P. R. China.,State Key Laboratory of Luminescence and Applications, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, P. R. China
| | - Haoran Chen
- State Key Laboratory of Luminescence and Applications, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, P. R. China
| | - Ruiqi Liu
- Institute of Molecular Medicine, College of Life and Health Sciences, Northeastern University, Shenyang, Liaoning, 110000, P. R. China
| | - Yongkuan Suo
- Institute of Molecular Medicine, College of Life and Health Sciences, Northeastern University, Shenyang, Liaoning, 110000, P. R. China
| | - Qiqing Li
- State Key Laboratory of Luminescence and Applications, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, P. R. China
| | - Youlin Zhang
- State Key Laboratory of Luminescence and Applications, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, P. R. China
| | - Hongguang Liu
- Institute of Molecular Medicine, College of Life and Health Sciences, Northeastern University, Shenyang, Liaoning, 110000, P. R. China
| | - Zhen Cheng
- State Key Laboratory of Drug Research,Molecular Imaging Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, P. R. China
| | - Yulei Chang
- State Key Laboratory of Luminescence and Applications, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin, 130033, P. R. China
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16
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Wang B, Chen J, Caserto JS, Wang X, Ma M. An in situ hydrogel-mediated chemo-immunometabolic cancer therapy. Nat Commun 2022; 13:3821. [PMID: 35780226 PMCID: PMC9250515 DOI: 10.1038/s41467-022-31579-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 06/23/2022] [Indexed: 02/07/2023] Open
Abstract
Metabolic reprogramming of the tumor microenvironment (TME) and poor immunogenicity are two of the challenges that cancer immunotherapies have to overcome for improved clinical benefits. Among various immunosuppressive metabolites that keep anti-tumor immunity in check, the tryptophan catabolite kynurenine (Kyn) is an attractive target for blockade given its role in mediating immunosuppression through multiple pathways. Here, we present a local chemo-immunometabolic therapy through injection of a supramolecular hydrogel concurrently releasing doxorubicin that induces immunogenic tumor cell death and kynureninase that disrupts Kyn-mediated immunosuppressive pathways in TME. The combination synergically enhances tumor immunogenicity and unleashes anti-tumor immunity. In mouse models of triple negative breast cancer and melanoma, a single low dose peritumoral injection of the therapeutic hydrogel promotes TME transformation toward more immunostimulatory, which leads to enhanced tumor suppression and extended mouse survival. In addition, the systemic anti-tumor surveillance induced by the local treatment exhibits an abscopal effect and prevents tumor relapse post-resection. This versatile approach for local chemo-immunometabolic therapy may serve as a general strategy for enhancing anti-tumor immunity and boosting the efficacy of cancer immunotherapies. Tryptophan metabolism, leading to the accumulation of kynurenine (Kyn) in the tumor microenvironment, restricts anti-tumor immunity. Here the authors report the design of a hydrogel loaded with doxorubicin and Kyn-degrading kynureninase to relieve immunosuppression, showing anti-tumor responses in preclinical models.
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Affiliation(s)
- Bo Wang
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA.
| | - Jing Chen
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA.,College of pharmacy, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Julia S Caserto
- Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, USA
| | - Xi Wang
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA
| | - Minglin Ma
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, USA.
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17
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Xuan Y, Gao Y, Guan M, Zhang S. Application of "smart" multifunctional nanoprobes in tumor diagnosis and treatment. J Mater Chem B 2022; 10:3601-3613. [PMID: 35437560 DOI: 10.1039/d2tb00326k] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Cancer is one of the major diseases that pose a threat to human health and life, especially because it is difficult to diagnose and cure, and recurs easily. In recent years, the development of nanotechnology has provided researchers with new tools for cancer treatment. In particular, nanoprobes that facilitate integrated diagnosis and treatment, high-resolution imaging, and accurate tumor targeting provide new avenues for the early detection and treatment of cancer. This review focuses on the preparations and applications of two kinds of "smart" multifunctional nanoprobes: "Off-On" nanoprobes and "Charge-Reversal" nanoprobes. This review also briefly discusses their mechanisms of action, as they could provide new ideas for the further development of this field.
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Affiliation(s)
- Yang Xuan
- Key Laboratory of Biotechnology and Resource Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China.
| | - Yating Gao
- Key Laboratory of Biotechnology and Resource Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China.
| | - Meng Guan
- Key Laboratory of Biotechnology and Resource Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China.
| | - Shubiao Zhang
- Key Laboratory of Biotechnology and Resource Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China.
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18
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Purohit V, Wagner A, Yosef N, Kuchroo VK. Systems-based approaches to study immunometabolism. Cell Mol Immunol 2022; 19:409-420. [PMID: 35121805 PMCID: PMC8891302 DOI: 10.1038/s41423-021-00783-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 09/17/2021] [Indexed: 02/06/2023] Open
Abstract
Technical advances at the interface of biology and computation, such as single-cell RNA-sequencing (scRNA-seq), reveal new layers of complexity in cellular systems. An emerging area of investigation using the systems biology approach is the study of the metabolism of immune cells. The diverse spectra of immune cell phenotypes, sparsity of immune cell numbers in vivo, limitations in the number of metabolites identified, dynamic nature of cellular metabolism and metabolic fluxes, tissue specificity, and high dependence on the local milieu make investigations in immunometabolism challenging, especially at the single-cell level. In this review, we define the systemic nature of immunometabolism, summarize cell- and system-based approaches, and introduce mathematical modeling approaches for systems interrogation of metabolic changes in immune cells. We close the review by discussing the applications and shortcomings of metabolic modeling techniques. With systems-oriented studies of metabolism expected to become a mainstay of immunological research, an understanding of current approaches toward systems immunometabolism will help investigators make the best use of current resources and push the boundaries of the discipline.
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Affiliation(s)
- Vinee Purohit
- Evergrande Center for Immunologic Diseases and Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, 02141, USA
| | - Allon Wagner
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA, 94720, USA
- Center for Computational Biology, University of California, Berkeley, CA, 94720, USA
| | - Nir Yosef
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA, 94720, USA
- Center for Computational Biology, University of California, Berkeley, CA, 94720, USA
| | - Vijay K Kuchroo
- Evergrande Center for Immunologic Diseases and Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, 02141, USA.
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19
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New Developments in T Cell Immunometabolism and Implications for Cancer Immunotherapy. Cells 2022; 11:cells11040708. [PMID: 35203357 PMCID: PMC8870179 DOI: 10.3390/cells11040708] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 02/05/2022] [Accepted: 02/10/2022] [Indexed: 12/12/2022] Open
Abstract
Despite rapid advances in the field of immunotherapy, the elimination of established tumors has not been achieved. Many promising new treatments such as adoptive cell therapy (ACT) fall short, primarily due to the loss of T cell effector function or the failure of long-term T cell persistence. With the availability of new tools and advancements in technology, our understanding of metabolic processes has increased enormously in the last decade. Redundancy in metabolic pathways and overlapping targets that could address the plasticity and heterogenous phenotypes of various T cell subsets have illuminated the need for understanding immunometabolism in the context of multiple disease states, including cancer immunology. Herein, we discuss the developing field of T cell immunometabolism and its crucial relevance to improving immunotherapeutic approaches. This in-depth review details the metabolic pathways and preferences of the antitumor immune system and the state of various metabolism-targeting therapeutic approaches.
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20
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Moos WH, Faller DV, Glavas IP, Harpp DN, Kamperi N, Kanara I, Kodukula K, Mavrakis AN, Pernokas J, Pernokas M, Pinkert CA, Powers WR, Steliou K, Tamvakopoulos C, Vavvas DG, Zamboni RJ, Sampani K. Pathogenic mitochondrial dysfunction and metabolic abnormalities. Biochem Pharmacol 2021; 193:114809. [PMID: 34673016 DOI: 10.1016/j.bcp.2021.114809] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 10/10/2021] [Accepted: 10/12/2021] [Indexed: 02/07/2023]
Abstract
Herein we trace links between biochemical pathways, pathogenesis, and metabolic diseases to set the stage for new therapeutic advances. Cellular and acellular microorganisms including bacteria and viruses are primary pathogenic drivers that cause disease. Missing from this statement are subcellular compartments, importantly mitochondria, which can be pathogenic by themselves, also serving as key metabolic disease intermediaries. The breakdown of food molecules provides chemical energy to power cellular processes, with mitochondria as powerhouses and ATP as the principal energy carrying molecule. Most animal cell ATP is produced by mitochondrial synthase; its central role in metabolism has been known for >80 years. Metabolic disorders involving many organ systems are prevalent in all age groups. Progressive pathogenic mitochondrial dysfunction is a hallmark of genetic mitochondrial diseases, the most common phenotypic expression of inherited metabolic disorders. Confluent genetic, metabolic, and mitochondrial axes surface in diabetes, heart failure, neurodegenerative disease, and even in the ongoing coronavirus pandemic.
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Affiliation(s)
- Walter H Moos
- Department of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, CA, USA.
| | - Douglas V Faller
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Cancer Research Center, Boston University School of Medicine, Boston, MA, USA
| | - Ioannis P Glavas
- Department of Ophthalmology, New York University School of Medicine, New York, NY, USA
| | - David N Harpp
- Department of Chemistry, McGill University, Montreal, QC, Canada
| | - Natalia Kamperi
- Center for Clinical, Experimental Surgery and Translational Research Pharmacology-Pharmacotechnology, Biomedical Research Foundation, Academy of Athens, Athens, Greece
| | | | | | - Anastasios N Mavrakis
- Department of Medicine, Tufts University School of Medicine, St. Elizabeth's Medical Center, Boston, MA, USA
| | - Julie Pernokas
- Advanced Dental Associates of New England, Woburn, MA, USA
| | - Mark Pernokas
- Advanced Dental Associates of New England, Woburn, MA, USA
| | - Carl A Pinkert
- Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, USA
| | - Whitney R Powers
- Department of Health Sciences, Boston University, Boston, MA, USA; Department of Anatomy, Boston University School of Medicine, Boston, MA, USA
| | - Kosta Steliou
- Cancer Research Center, Boston University School of Medicine, Boston, MA, USA; PhenoMatriX, Inc., Natick, MA, USA
| | - Constantin Tamvakopoulos
- Center for Clinical, Experimental Surgery and Translational Research Pharmacology-Pharmacotechnology, Biomedical Research Foundation, Academy of Athens, Athens, Greece
| | - Demetrios G Vavvas
- Department of Ophthalmology, Harvard Medical School, Boston, MA, USA; Retina Service, Angiogenesis Laboratory, Massachusetts Eye and Ear Infirmary, Boston, MA, USA
| | - Robert J Zamboni
- Department of Chemistry, McGill University, Montreal, QC, Canada
| | - Konstantina Sampani
- Beetham Eye Institute, Joslin Diabetes Center, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
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21
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Di Virgilio F, Borges da Silva H. Editorial overview: Immunometabolism. Curr Opin Pharmacol 2021; 60:168-169. [PMID: 34454250 DOI: 10.1016/j.coph.2021.07.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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22
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Wagner A, Wang C, Fessler J, DeTomaso D, Avila-Pacheco J, Kaminski J, Zaghouani S, Christian E, Thakore P, Schellhaass B, Akama-Garren E, Pierce K, Singh V, Ron-Harel N, Douglas VP, Bod L, Schnell A, Puleston D, Sobel RA, Haigis M, Pearce EL, Soleimani M, Clish C, Regev A, Kuchroo VK, Yosef N. Metabolic modeling of single Th17 cells reveals regulators of autoimmunity. Cell 2021; 184:4168-4185.e21. [PMID: 34216539 PMCID: PMC8621950 DOI: 10.1016/j.cell.2021.05.045] [Citation(s) in RCA: 177] [Impact Index Per Article: 59.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 02/15/2021] [Accepted: 05/27/2021] [Indexed: 12/11/2022]
Abstract
Metabolism is a major regulator of immune cell function, but it remains difficult to study the metabolic status of individual cells. Here, we present Compass, an algorithm to characterize cellular metabolic states based on single-cell RNA sequencing and flux balance analysis. We applied Compass to associate metabolic states with T helper 17 (Th17) functional variability (pathogenic potential) and recovered a metabolic switch between glycolysis and fatty acid oxidation, akin to known Th17/regulatory T cell (Treg) differences, which we validated by metabolic assays. Compass also predicted that Th17 pathogenicity was associated with arginine and downstream polyamine metabolism. Indeed, polyamine-related enzyme expression was enhanced in pathogenic Th17 and suppressed in Treg cells. Chemical and genetic perturbation of polyamine metabolism inhibited Th17 cytokines, promoted Foxp3 expression, and remodeled the transcriptome and epigenome of Th17 cells toward a Treg-like state. In vivo perturbations of the polyamine pathway altered the phenotype of encephalitogenic T cells and attenuated tissue inflammation in CNS autoimmunity.
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Affiliation(s)
- Allon Wagner
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA 94720, USA; Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Chao Wang
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA 02115, USA; Biological Sciences Platform, Sunnybrook Research Institute, Toronto, ON M4N 3M5, Canada; Department of Immunology, University of Toronto, Toronto, ON M5S 1A8, Canada.
| | - Johannes Fessler
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA 02115, USA
| | - David DeTomaso
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | | | - James Kaminski
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Sarah Zaghouani
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Elena Christian
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Brandon Schellhaass
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Elliot Akama-Garren
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Kerry Pierce
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Noga Ron-Harel
- Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Biology, Technion, Israel Institute of Technology, Haifa 3200003, Israel
| | - Vivian Paraskevi Douglas
- Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA 02114, USA
| | - Lloyd Bod
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Alexandra Schnell
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Daniel Puleston
- Max Planck Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany
| | - Raymond A Sobel
- Palo Alto Veteran's Administration Health Care System and Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Marcia Haigis
- Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
| | - Erika L Pearce
- Max Planck Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany
| | - Manoocher Soleimani
- Department of Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87121, USA
| | - Clary Clish
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Aviv Regev
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biology, Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02140, USA
| | - Vijay K Kuchroo
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA 02115, USA.
| | - Nir Yosef
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA 94720, USA; Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Chan-Zuckerberg Biohub, San Francisco, CA 94158, USA; Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA.
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23
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Sheldon RD, Ma EH, DeCamp LM, Williams KS, Jones RG. Interrogating in vivo T-cell metabolism in mice using stable isotope labeling metabolomics and rapid cell sorting. Nat Protoc 2021; 16:4494-4521. [PMID: 34349284 DOI: 10.1038/s41596-021-00586-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 05/31/2021] [Indexed: 11/10/2022]
Abstract
T cells are integral players in the adaptive immune system that readily adapt their metabolism to meet their energetic and biosynthetic needs. A major hurdle to understand physiologic T-cell metabolism has been the differences between in vitro cell culture conditions and the complex in vivo milieu. To address this, we have developed a protocol that merges traditional immunology infection models with whole-body metabolite infusion and mass-spectrometry-based metabolomic profiling to assess T-cell metabolism in vivo. In this protocol, pathogen-infected mice are infused via the tail vein with an isotopically labeled metabolite (2-6 h), followed by rapid magnetic bead isolation to purify T-cell populations (<1 h) and then stable isotope labeling analysis conducted by mass spectrometry (~1-2 d). This procedure enables researchers to evaluate metabolic substrate utilization into central carbon metabolic pathways (i.e., glycolysis and the tricarboxylic acid cycle) by specific T-cell subpopulations in the context of physiological immune responses in vivo.
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Affiliation(s)
- Ryan D Sheldon
- Department of Metabolism and Nutritional Programming, Van Andel Institute, Grand Rapids, MI, USA.,Metabolomics and Bioenergetics Core Facility, Van Andel Institute, Grand Rapids, MI, USA
| | - Eric H Ma
- Department of Metabolism and Nutritional Programming, Van Andel Institute, Grand Rapids, MI, USA
| | - Lisa M DeCamp
- Department of Metabolism and Nutritional Programming, Van Andel Institute, Grand Rapids, MI, USA
| | - Kelsey S Williams
- Department of Metabolism and Nutritional Programming, Van Andel Institute, Grand Rapids, MI, USA
| | - Russell G Jones
- Department of Metabolism and Nutritional Programming, Van Andel Institute, Grand Rapids, MI, USA.
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24
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Pence BD. Recent developments and future perspectives in aging and macrophage immunometabolism. AIMS MOLECULAR SCIENCE 2021. [DOI: 10.3934/molsci.2021015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
<abstract>
<p>Aging is the strongest contributor to the development and severity of many chronic and infectious diseases, primarily through age-related increases in low-grade inflammation (inflammaging) and decreases in immune function (immunosenescence). Metabolic reprogramming in immune cells is a significant contributor to functional and phenotypic changes in these cells, but little is known about the direct effect of aging on immunometabolism. This review highlights several recent advances in this field, focusing on mitochondrial dysfunction, NAD+ metabolism, and therapeutic reprogramming in aged monocytes and macrophages. Perspectives on opportunities for future research in this area are also provided. Targeting immunometabolism is a promising strategy for designing therapeutics for a wide variety of age-related diseases.</p>
</abstract>
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