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Liu Y, Lomeli I, Kron SJ. Therapy-Induced Cellular Senescence: Potentiating Tumor Elimination or Driving Cancer Resistance and Recurrence? Cells 2024; 13:1281. [PMID: 39120312 PMCID: PMC11312217 DOI: 10.3390/cells13151281] [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: 06/01/2024] [Revised: 07/17/2024] [Accepted: 07/25/2024] [Indexed: 08/10/2024] Open
Abstract
Cellular senescence has been increasingly recognized as a hallmark of cancer, reflecting its association with aging and inflammation, its role as a response to deregulated proliferation and oncogenic stress, and its induction by cancer therapies. While therapy-induced senescence (TIS) has been linked to resistance, recurrence, metastasis, and normal tissue toxicity, TIS also has the potential to enhance therapy response and stimulate anti-tumor immunity. In this review, we examine the Jekyll and Hyde nature of senescent cells (SnCs), focusing on how their persistence while expressing the senescence-associated secretory phenotype (SASP) modulates the tumor microenvironment through autocrine and paracrine mechanisms. Through the SASP, SnCs can mediate both resistance and response to cancer therapies. To fulfill the unmet potential of cancer immunotherapy, we consider how SnCs may influence tumor inflammation and serve as an antigen source to potentiate anti-tumor immune response. This new perspective suggests treatment approaches based on TIS to enhance immune checkpoint blockade. Finally, we describe strategies for mitigating the detrimental effects of senescence, such as modulating the SASP or targeting SnC persistence, which may enhance the overall benefits of cancer treatment.
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Affiliation(s)
| | | | - Stephen J. Kron
- Ludwig Center for Metastasis Research and Department of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, IL 60637, USA
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2
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Song H, Zhang J, Lou N, Jiang X, Cui Y, Liu J, Hu F, Jiao J, Pan C, Liu J, Wang Z, Shang D. Emodin nanocapsules inhibit acute pancreatitis by regulating lipid metabolic reprogramming in macrophage polarization. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2024; 130:155763. [PMID: 38820661 DOI: 10.1016/j.phymed.2024.155763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 05/06/2024] [Accepted: 05/18/2024] [Indexed: 06/02/2024]
Abstract
BACKGROUND Emodin is a chemical compound found in traditional Chinese herbs. It possesses anti-inflammatory and many other pharmacological effects. Our previous study showed that emodin significantly alleviates the inflammation effect of severe acute pancreatitis (SAP). However, its poor solubility, high toxicity and limited pancreas retention time hinder its clinical application. PURPOSE We aimed to prepare emodin nanocapsules with improved bioavailability to achieve the controlled release of emodin by targeting macrophages. Further, the mechanism of mannose-conjugated chitosan-coated lipid nanocapsules loaded with emodin (M-CS-E-LNC) in the treatment of SAP was explored. METHODS M-CS-E-LNC were prepared by the phase inversion method with slight modification. The expression of inflammation mediators and the anti-inflammation efficacy of M-CS-E-LNC were examined by ELISA, IHC and IF in macrophage cells and LPS-induced SAP mice. IVIS spectrum imaging and HPLC were applied to explore the controlled release of M-CS-E-LNC in the pancreas. LC-MS/MS was performed for lipidomics analysis of macrophages. Moreover, a vector-based short hairpin RNA (shRNA) method was used to silence CTP1 gene expression in macrophage cells. RESULTS The levels of inflammatory mediators in macrophages were markedly decreased after treatment with M-CS-E-LNC. The same anti-inflammation effects were detected in SAP mouse through the analysis of serum levels of amylase, TNF-α and IL-6. Importantly, M-CS-E-LNC allowed the emodin to selectively accumulate at pancreas and gastrointestinal tissues, thus exhibiting a targeted release. Mechanistically, the M-CS-E-LNC treatment group showed up-regulated expression of the carnitine palmitoyltransferase 1 (CPT1) protein which promoted intracellular long-chain fatty acid transport, thereby promoting the M2 phenotype polarization of macrophages. CONCLUSION M-CS-E-LNC exhibited significantly improved bioavailability and water solubility, which translated to greater therapeutic effects on macrophage polarization. Our findings also demonstrate, for the first time, that CPT1 may be a new therapeutic target for SAP treatment.
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Affiliation(s)
- Huiyi Song
- Clinical Laboratory of Integrative Medicine, First Hospital affiliated to Dalian Medical University, Dalian, Liaoning, PR China
| | - Jianbin Zhang
- College of Pharmacy, Dalian Medical University, Dalian, Liaoning, PR China
| | - Ni Lou
- Clinical Laboratory of Integrative Medicine, First Hospital affiliated to Dalian Medical University, Dalian, Liaoning, PR China
| | - Xinyue Jiang
- Clinical Laboratory of Integrative Medicine, First Hospital affiliated to Dalian Medical University, Dalian, Liaoning, PR China
| | - Yuying Cui
- Clinical Laboratory of Integrative Medicine, First Hospital affiliated to Dalian Medical University, Dalian, Liaoning, PR China
| | - Jinming Liu
- The Third Department of General Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, PR China
| | - Fenglin Hu
- Clinical Laboratory of Integrative Medicine, First Hospital affiliated to Dalian Medical University, Dalian, Liaoning, PR China
| | - Juying Jiao
- Clinical Laboratory of Integrative Medicine, First Hospital affiliated to Dalian Medical University, Dalian, Liaoning, PR China
| | - Chen Pan
- Clinical Laboratory of Integrative Medicine, First Hospital affiliated to Dalian Medical University, Dalian, Liaoning, PR China
| | - Jianjun Liu
- Clinical Laboratory of Integrative Medicine, First Hospital affiliated to Dalian Medical University, Dalian, Liaoning, PR China
| | - Zhizhou Wang
- Clinical Laboratory of Integrative Medicine, First Hospital affiliated to Dalian Medical University, Dalian, Liaoning, PR China
| | - Dong Shang
- Clinical Laboratory of Integrative Medicine, First Hospital affiliated to Dalian Medical University, Dalian, Liaoning, PR China; The Third Department of General Surgery, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, PR China.
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Nicolini A, Ferrari P. Involvement of tumor immune microenvironment metabolic reprogramming in colorectal cancer progression, immune escape, and response to immunotherapy. Front Immunol 2024; 15:1353787. [PMID: 39119332 PMCID: PMC11306065 DOI: 10.3389/fimmu.2024.1353787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 03/04/2024] [Indexed: 08/10/2024] Open
Abstract
Metabolic reprogramming is a k`ey hallmark of tumors, developed in response to hypoxia and nutrient deficiency during tumor progression. In both cancer and immune cells, there is a metabolic shift from oxidative phosphorylation (OXPHOS) to aerobic glycolysis, also known as the Warburg effect, which then leads to lactate acidification, increased lipid synthesis, and glutaminolysis. This reprogramming facilitates tumor immune evasion and, within the tumor microenvironment (TME), cancer and immune cells collaborate to create a suppressive tumor immune microenvironment (TIME). The growing interest in the metabolic reprogramming of the TME, particularly its significance in colorectal cancer (CRC)-one of the most prevalent cancers-has prompted us to explore this topic. CRC exhibits abnormal glycolysis, glutaminolysis, and increased lipid synthesis. Acidosis in CRC cells hampers the activity of anti-tumor immune cells and inhibits the phagocytosis of tumor-associated macrophages (TAMs), while nutrient deficiency promotes the development of regulatory T cells (Tregs) and M2-like macrophages. In CRC cells, activation of G-protein coupled receptor 81 (GPR81) signaling leads to overexpression of programmed death-ligand 1 (PD-L1) and reduces the antigen presentation capability of dendritic cells. Moreover, the genetic and epigenetic cell phenotype, along with the microbiota, significantly influence CRC metabolic reprogramming. Activating RAS mutations and overexpression of epidermal growth factor receptor (EGFR) occur in approximately 50% and 80% of patients, respectively, stimulating glycolysis and increasing levels of hypoxia-inducible factor 1 alpha (HIF-1α) and MYC proteins. Certain bacteria produce short-chain fatty acids (SCFAs), which activate CD8+ cells and genes involved in antigen processing and presentation, while other mechanisms support pro-tumor activities. The use of immune checkpoint inhibitors (ICIs) in selected CRC patients has shown promise, and the combination of these with drugs that inhibit aerobic glycolysis is currently being intensively researched to enhance the efficacy of immunotherapy.
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Affiliation(s)
- Andrea Nicolini
- Department of Oncology, Transplantations and New Technologies in Medicine, University of Pisa, Pisa, Italy
| | - Paola Ferrari
- Unit of Oncology, Department of Medical and Oncological Area, Azienda Ospedaliera-Universitaria Pisana, Pisa, Italy
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Zhao J, Wang Z, Tian Y, Ning J, Ye H. T cell exhaustion and senescence for ovarian cancer immunotherapy. Semin Cancer Biol 2024; 104-105:1-15. [PMID: 39032717 DOI: 10.1016/j.semcancer.2024.07.001] [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: 05/16/2024] [Revised: 06/30/2024] [Accepted: 07/09/2024] [Indexed: 07/23/2024]
Abstract
Ovarian cancer is a common gynecological malignancy, and its treatment remains challenging. Although ovarian cancer may respond to immunotherapy because of endogenous immunity at the molecular or T cell level, immunotherapy has so far not had the desired effect. The functional status of preexisting T cells is an indispensable determinant of powerful antitumor immunity and immunotherapy. T cell exhaustion and senescence are two crucial states of T cell dysfunction, which share some overlapping phenotypic and functional features, but each status possesses unique molecular and developmental signatures. It has been widely accepted that exhaustion and senescence of T cells are important strategies for cancer cells to evade immunosurveillance and maintain the immunosuppressive microenvironment. Herein, this review summarizes the phenotypic and functional features of exhaust and senescent T cells, and describes the key drivers of the two T cell dysfunctional states in the tumor microenvironment and their functional roles in ovarian cancer. Furthermore, we present a summary of the molecular machinery and signaling pathways governing T cell exhaustion and senescence. Possible strategies that can prevent and/or reverse T cell dysfunction are also explored. An in-depth understanding of exhausted and senescent T cells will provide novel strategies to enhance immunotherapy of ovarian cancer through redirecting tumor-specific T cells away from a dysfunctional developmental trajectory.
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Affiliation(s)
- Jiao Zhao
- Department of Gynecology Surgery 3, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning 110042, China
| | - Zhongmiao Wang
- Department of Digestive Diseases 1, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning 110042, China
| | - Yingying Tian
- Department of Oncology Radiotherapy 2, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, Shandong 266042, China
| | - Jing Ning
- Department of General Internal Medicine (VIP Ward), Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning 110042, China.
| | - Huinan Ye
- Department of Digestive Diseases 1, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning 110042, China.
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Xue D, Zuo Q, Chang J, Wu X. The correlation between TRIM28 expression and immune checkpoints in CRPC. FASEB J 2024; 38:e23663. [PMID: 38958986 DOI: 10.1096/fj.202400061rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/17/2024] [Accepted: 04/29/2024] [Indexed: 07/04/2024]
Abstract
This study delves into the unexplored realm of castration-resistant prostate cancer (CRPC) by investigating the role of TRIM28 and its intricate molecular mechanisms using high-throughput single-cell transcriptome sequencing and advanced bioinformatics analysis. Our comprehensive examination unveiled dynamic TRIM28 expression changes, particularly in immune cells such as macrophages and CD8+ T cells within CRPC. Correlation analyses with TCGA data highlighted the connection between TRIM28 and immune checkpoint expression and emphasized its pivotal influence on the quantity and functionality of immune cells. Using TRIM28 knockout mouse models, we identified differentially expressed genes and enriched pathways, unraveling the potential regulatory involvement of TRIM28 in the cGAS-STING pathway. In vitro, experiments further illuminated that TRIM28 knockout in prostate cancer cells induced a notable anti-tumor immune effect by inhibiting M2 macrophage polarization and enhancing CD8+ T cell activity. This impactful discovery was validated in an in situ transplant tumor model, where TRIM28 knockout exhibited a deceleration in tumor growth, reduced proportions of M2 macrophages, and enhanced infiltration of CD8+ T cells. In summary, this study elucidates the hitherto unknown anti-tumor immune role of TRIM28 in CRPC and unravels its potential regulatory mechanism via the cGAS-STING signaling pathway. These findings provide novel insights into the immune landscape of CRPC, offering promising directions for developing innovative therapeutic strategies.
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Affiliation(s)
- Dun Xue
- Department of Medical, the First Hospital of Changsha, Changsha, P. R. China
| | - Qian Zuo
- Department of Radiology, the First Hospital of Changsha, Changsha, P. R. China
| | - Jie Chang
- Department of Outpatient, the First Hospital of Changsha, Changsha, P. R. China
| | - Xinghui Wu
- Department of Urology, the First Hospital of Changsha, Changsha, P. R. China
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Chen C, Han P, Qing Y. Metabolic heterogeneity in tumor microenvironment - A novel landmark for immunotherapy. Autoimmun Rev 2024:103579. [PMID: 39004158 DOI: 10.1016/j.autrev.2024.103579] [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: 01/31/2024] [Revised: 04/10/2024] [Accepted: 07/09/2024] [Indexed: 07/16/2024]
Abstract
The surrounding non-cancer cells and tumor cells that make up the tumor microenvironment (TME) have various metabolic rhythms. TME metabolic heterogeneity is influenced by the intricate network of metabolic control within and between cells. DNA, protein, transport, and microbial levels are important regulators of TME metabolic homeostasis. The effectiveness of immunotherapy is also closely correlated with alterations in TME metabolism. The response of a tumor patient to immunotherapy is influenced by a variety of variables, including intracellular metabolic reprogramming, metabolic interaction between cells, ecological changes within and between tumors, and general dietary preferences. Although immunotherapy and targeted therapy have made great strides, their use in the accurate identification and treatment of tumors still has several limitations. The function of TME metabolic heterogeneity in tumor immunotherapy is summarized in this article. It focuses on how metabolic heterogeneity develops and is regulated as a tumor progresses, the precise molecular mechanisms and potential clinical significance of imbalances in intracellular metabolic homeostasis and intercellular metabolic coupling and interaction, as well as the benefits and drawbacks of targeted metabolism used in conjunction with immunotherapy. This offers insightful knowledge and important implications for individualized tumor patient diagnosis and treatment plans in the future.
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Affiliation(s)
- Chen Chen
- The First Affiliated Hospital of Ningbo University, Ningbo 315211, Zhejiang, China
| | - Peng Han
- Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang, China.
| | - Yanping Qing
- The First Affiliated Hospital of Ningbo University, Ningbo 315211, Zhejiang, China.
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Xiong D, Wang Q, Wang WM, Sun ZJ. Tuning cellular metabolism for cancer virotherapy. Cancer Lett 2024; 592:216924. [PMID: 38718886 DOI: 10.1016/j.canlet.2024.216924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 04/08/2024] [Accepted: 04/28/2024] [Indexed: 05/14/2024]
Abstract
Oncolytic viruses (OVs) represent an emerging immunotherapeutic strategy owing to their capacity for direct tumor lysis and induction of antitumor immunity. However, hurdles like transient persistence and moderate efficacy necessitate innovative approaches. Metabolic remodeling has recently gained prominence as a strategic intervention, wherein OVs or combination regimens could reprogram tumor and immune cell metabolism to enhance viral replication and oncolysis. In this review, we summarize recent advances in strategic reprogramming of tumor and immune cell metabolism to enhance OV-based immunotherapies. Specific tactics include engineering viruses to target glycolytic, glutaminolytic, and nucleotide synthesis pathways in cancer cells, boosting viral replication and tumor cell death. Additionally, rewiring T cell and NK cell metabolism of lipids, amino acids, and carbohydrates shows promise to enhance antitumor effects. Further insights are discussed to pave the way for the clinical implementation of metabolically enhanced oncolytic platforms, including balancing metabolic modulation to limit antiviral responses while promoting viral persistence and tumor clearance.
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Affiliation(s)
- Dian Xiong
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan, 430079, PR China
| | - Qing Wang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan, 430079, PR China
| | - Wei-Ming Wang
- Department of Oral and Maxillofacial Surgery, Center of Stomatology, Institute of Oral Precancerous Lesions, Xiangya Hospital, Research Center of Oral and Maxillofacial Tumor, National Clinical Research Center for Geriatric Disorders, Central South University, Changsha, Hunan, 410008, PR China.
| | - Zhi-Jun Sun
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan, 430079, PR China.
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8
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Wang Y, Chen W, Qiao S, Zou H, Yu XJ, Yang Y, Li Z, Wang J, Chen MS, Xu J, Zheng L. Lipid droplet accumulation mediates macrophage survival and Treg recruitment via the CCL20/CCR6 axis in human hepatocellular carcinoma. Cell Mol Immunol 2024:10.1038/s41423-024-01199-x. [PMID: 38942796 DOI: 10.1038/s41423-024-01199-x] [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: 01/24/2024] [Accepted: 06/17/2024] [Indexed: 06/30/2024] Open
Abstract
Metabolic changes play a crucial role in determining the status and function of macrophages, but how lipid reprogramming in macrophages contributes to tumor progression is not yet fully understood. Here, we investigated the phenotype, contribution, and regulatory mechanisms of lipid droplet (LD)-laden macrophages (LLMs) in hepatocellular carcinoma (HCC). Enriched LLMs were found in tumor tissues and were associated with disease progression in HCC patients. The LLMs displayed immunosuppressive phenotypes (with extensive expression of TREM2, PD-L1, CD206, and CD163) and attenuated the antitumor activities of CD8+ T cells. Mechanistically, tumor-induced reshuffling of cellular lipids and TNFα-mediated uptake of tumoral fatty acids contribute to the generation of triglycerides and LDs in macrophages. LDs prolong LLM survival and promote CCL20 secretion, which further recruits CCR6+ Tregs to HCC tissue. Inhibiting LLM formation by targeting DGAT1 and DGAT2, which catalyze the synthesis of triglycerides, significantly reduced Treg recruitment, and delayed tumor growth in a mouse hepatic tumor model. Our results reveal the suppressive phenotypes and mechanisms of LLM enrichment in HCC and suggest the therapeutic potential of targeting LLMs for HCC patients.
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Affiliation(s)
- Yongchun Wang
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
- Key Laboratory of Gene Function and Regulation of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, PR China
| | - Weibai Chen
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
- Key Laboratory of Gene Function and Regulation of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, PR China
| | - Shuang Qiao
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
| | - Hao Zou
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
| | - Xing-Juan Yu
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
| | - Yanyan Yang
- Key Laboratory of Gene Function and Regulation of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, PR China
| | - Zhixiong Li
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
| | - Junfeng Wang
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
| | - Min-Shan Chen
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China
- Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, PR China
| | - Jing Xu
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China.
| | - Limin Zheng
- Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, PR China.
- Key Laboratory of Gene Function and Regulation of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, PR China.
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Gao J, Zhang P, Nie X, Tang M, Yuan Y, He L, Wang X, Ma J, Li L. Proteomic and metabolomic profiling of plasma predicts immune-related adverse events in older patients with advanced non-small cell lung cancer. iScience 2024; 27:109946. [PMID: 38827402 PMCID: PMC11141140 DOI: 10.1016/j.isci.2024.109946] [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] [Received: 07/05/2023] [Revised: 12/12/2023] [Accepted: 05/06/2024] [Indexed: 06/04/2024] Open
Abstract
The clinical success of immune checkpoint inhibitors is compromised by the fact of immune-related adverse events (irAEs), especially for older patients. To identify predictive biomarkers for older patients with irAEs, we used multiplex immunoassay and flow cytometry and liquid chromatography-tandem mass spectrometry to test immune factors and plasma protein and metabolites levels in non-small cell lung cancer (NSCLC) patients. The results showed that older patients with irAEs displayed lower CD28, CD4+ T cell, and B cell and higher interleukin (IL)-10 and CCL2 levels at baseline. Besides, lower aldolase, fructose-bisphosphate B (ALDOB), higher ST6GAL1, and lower lactate/pyruvate ratio at baseline were found in older patients with irAEs. Based on metabolomic markers, predictive models were developed to distinguish patients with grade 2-4 irAEs from grade 0-1 (Area under curve, AUC = 0.831) and to distinguish patients with grade 3-4 irAEs from grade 2 (AUC = 1). Our results confirmed the predictive value of plasma metabolites for irAEs in older patients with NSCLC.
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Affiliation(s)
- Jiayi Gao
- Department of Oncology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
- Graduate School Peking Union Medical College, Beijing 100730, China
| | - Ping Zhang
- Department of Oncology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Xin Nie
- Department of Oncology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Min Tang
- Department of Oncology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Yue Yuan
- Department of Oncology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Liuer He
- Department of Oncology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Xue Wang
- Department of Oncology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Junling Ma
- Department of Oncology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
| | - Lin Li
- Department of Oncology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, P.R. China
- Graduate School Peking Union Medical College, Beijing 100730, China
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Liang J, Lin Y, Liu Y, Lin H, Xie Z, Wu T, Zhang X, Zhou X, Tan Z, Yin W, Guo Z. Deciphering two decades of cellular reprogramming in cancer: A bibliometric analysis of evolving trends and research frontiers. Heliyon 2024; 10:e31400. [PMID: 38832277 PMCID: PMC11145233 DOI: 10.1016/j.heliyon.2024.e31400] [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] [Received: 12/03/2023] [Revised: 05/14/2024] [Accepted: 05/15/2024] [Indexed: 06/05/2024] Open
Abstract
Recent research has reevaluated the traditional view of cancer's linear progression and recurrence by introducing cellular reprogramming a process in which cancer cells can their state under certain conditions. This change is driven by a combination of genetic and epigenetic factors, with pivotal roles played by key genes, and pathways, notably Wnt and Notch. The complexity of cancer's behavior is further influenced by factors such as the epithelial-mesenchymal transition (EMT) and therapy-induced stress, both of which are significant contributors to cancer recurrence. In this context bibliometric analysis emerges as a crucial tool for evaluating the impacts and trends within scientific literature. Our study utilized bibliometrics to analysis the role of cellular reprogramming oncology over the past two decades, highlighting its potential to improve cancer treatment outcomes. In conducting this analysis, we searched for literature search on cellular reprogramming (CR) in the Web of Science database, covering the years 2002-2022. We employed visualization tools like Citespace, VOSviewer, and Bibliometrix to analyze the collected data resulting in a dataset of 3102 articles. The United States and China emerged as leading contributors to this field, with the University of Texas MD Anderson Cancer Center being the most prolific institution. Menendez was the most influential scholar in this research domain. Cancers was the journal with the most publications on this subject. The most local-cited document was the article titled "Hallmarks of Cancer: The Next Generation". A comprehensive analysis has been conducted based on keywords and cited references. In recent years, the research emphasis has shifted to "extracellular vesicles," "cancer therapy," and "cellular plasticity". Therefore, this analysis uses bibliometrics to chart cutting-edge progress in cancer's cellular reprogramming, aiding experts to quickly understand and innovate in this crucial area.
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Affiliation(s)
- Jinghao Liang
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
| | - Yijian Lin
- Second Clinical Medical College, Guangdong Medical University, Dongguan, 523000, China
| | - Yuanqing Liu
- Second Clinical Medical College, Guangdong Medical University, Dongguan, 523000, China
| | - Hongmiao Lin
- Graduate School, The Sixth Affiliated to Guangzhou Medical University The Sixth People's Hospital, Guangzhou, 510120, China
| | - Zixian Xie
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
| | - Tongtong Wu
- Second Clinical Medical College, Guangdong Medical University, Dongguan, 523000, China
| | - Xinrong Zhang
- Second Clinical Medical College, Guangdong Medical University, Dongguan, 523000, China
| | - Xinyi Zhou
- Second Clinical Medical College, Guangdong Medical University, Dongguan, 523000, China
| | - Zhaofeng Tan
- Graduate School, The Sixth Affiliated to Guangzhou Medical University The Sixth People's Hospital, Guangzhou, 510120, China
| | - Weiqiang Yin
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
| | - Zhihua Guo
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
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Chen W, Zhao Z, Zhou H, Dong S, Li X, Hu S, Zhong S, Chen K. Development of prognostic signatures and risk index related to lipid metabolism in ccRCC. Front Oncol 2024; 14:1378095. [PMID: 38939337 PMCID: PMC11208495 DOI: 10.3389/fonc.2024.1378095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 05/31/2024] [Indexed: 06/29/2024] Open
Abstract
Background Clear cell renal cell carcinoma (ccRCC) is a metabolic disorder characterized by abnormal lipid accumulation in the cytoplasm. Lipid metabolism-related genes may have important clinical significance for prognosis prediction and individualized treatment. Methods We collected bulk and single-cell transcriptomic data of ccRCC and normal samples to identify key lipid metabolism-related prognostic signatures. qPCR was used to confirm the expression of signatures in cancer cell lines. Based on the identified signatures, we developed a lipid metabolism risk score (LMRS) as a risk index. We explored the potential application value of prognostic signatures and LMRS in precise treatment from multiple perspectives. Results Through comprehensive analysis, we identified five lipid metabolism-related prognostic signatures (ACADM, ACAT1, ECHS1, HPGD, DGKZ). We developed a risk index LMRS, which was significantly associated with poor prognosis in patients. There was a significant correlation between LMRS and the infiltration levels of multiple immune cells. Patients with high LMRS may be more likely to respond to immunotherapy. The different LMRS groups were suitable for different anticancer drug treatment regimens. Conclusion Prognostic signatures and LMRS we developed may be applied to the risk assessment of ccRCC patients, which may have potential guiding significance in the diagnosis and precise treatment of ccRCC patients.
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Affiliation(s)
- Wenbo Chen
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Zhenyu Zhao
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Zhou
- Department of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuang Dong
- Department of Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaoyu Li
- Department of Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Sheng Hu
- Department of Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shan Zhong
- School of Basic Medical Sciences, Wuhan University, Wuhan, China
| | - Ke Chen
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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12
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Zeng Q, Gong Y, Zhu N, Shi Y, Zhang C, Qin L. Lipids and lipid metabolism in cellular senescence: Emerging targets for age-related diseases. Ageing Res Rev 2024; 97:102294. [PMID: 38583577 DOI: 10.1016/j.arr.2024.102294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 03/27/2024] [Accepted: 04/03/2024] [Indexed: 04/09/2024]
Abstract
Cellular senescence is a kind of cellular state triggered by endogenous or exogenous stimuli, which is mainly characterized by stable cell cycle arrest and complex senescence-associated secretory phenotype (SASP). Once senescent cells accumulate in tissues, they may eventually accelerate the progression of age-related diseases, such as atherosclerosis, osteoarthritis, chronic lung diseases, cancers, etc. Recent studies have shown that the disorders of lipid metabolism are not only related to age-related diseases, but also regulate the cellular senescence process. Based on existing research evidences, the changes in lipid metabolism in senescent cells are mainly concentrated in the metabolic processes of phospholipids, fatty acids and cholesterol. Obviously, the changes in lipid-metabolizing enzymes and proteins involved in these pathways play a critical role in senescence. However, the link between cellular senescence, changes in lipid metabolism and age-related disease remains to be elucidated. Herein, we summarize the lipid metabolism changes in senescent cells, especially the senescent cells that promote age-related diseases, as well as focusing on the role of lipid-related enzymes or proteins in senescence. Finally, we explore the prospect of lipids in cellular senescence and their potential as drug targets for preventing and delaying age-related diseases.
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Affiliation(s)
- Qing Zeng
- Laboratory of Stem Cell Regulation with Chinese Medicine and Its Application, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China
| | - Yongzhen Gong
- Laboratory of Stem Cell Regulation with Chinese Medicine and Its Application, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China
| | - Neng Zhu
- The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan 410021, China
| | - Yaning Shi
- Laboratory of Stem Cell Regulation with Chinese Medicine and Its Application, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China; Science and Technology Innovation Center, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China
| | - Chanjuan Zhang
- Laboratory of Stem Cell Regulation with Chinese Medicine and Its Application, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China
| | - Li Qin
- Laboratory of Stem Cell Regulation with Chinese Medicine and Its Application, School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China; Institutional Key Laboratory of Vascular Biology and Translational Medicine in Hunan Province, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China.
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13
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Qin S, Xie B, Wang Q, Yang R, Sun J, Hu C, Liu S, Tao Y, Xiao D. New insights into immune cells in cancer immunotherapy: from epigenetic modification, metabolic modulation to cell communication. MedComm (Beijing) 2024; 5:e551. [PMID: 38783893 PMCID: PMC11112485 DOI: 10.1002/mco2.551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 03/24/2024] [Accepted: 04/02/2024] [Indexed: 05/25/2024] Open
Abstract
Cancer is one of the leading causes of death worldwide, and more effective ways of attacking cancer are being sought. Cancer immunotherapy is a new and effective therapeutic method after surgery, radiotherapy, chemotherapy, and targeted therapy. Cancer immunotherapy aims to kill tumor cells by stimulating or rebuilding the body's immune system, with specific efficiency and high safety. However, only few tumor patients respond to immunotherapy and due to the complex and variable characters of cancer immune escape, the behavior and regulatory mechanisms of immune cells need to be deeply explored from more dimensions. Epigenetic modifications, metabolic modulation, and cell-to-cell communication are key factors in immune cell adaptation and response to the complex tumor microenvironment. They collectively determine the state and function of immune cells through modulating gene expression, changing in energy and nutrient demands. In addition, immune cells engage in complex communication networks with other immune components, which are mediated by exosomes, cytokines, and chemokines, and are pivotal in shaping the tumor progression and therapeutic response. Understanding the interactions and combined effects of such multidimensions mechanisms in immune cell modulation is important for revealing the mechanisms of immunotherapy failure and developing new therapeutic targets and strategies.
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Affiliation(s)
- Sha Qin
- Department of PathologyXiangya HospitalCentral South UniversityChangshaHunanChina
- Department of PathologySchool of Basic Medical ScienceXiangya School of MedicineCentral South UniversityChangshaHunanChina
| | - Bin Xie
- Department of PathologyXiangya HospitalCentral South UniversityChangshaHunanChina
| | - Qingyi Wang
- Department of PathologyXiangya HospitalCentral South UniversityChangshaHunanChina
- Department of PathologySchool of Basic Medical ScienceXiangya School of MedicineCentral South UniversityChangshaHunanChina
| | - Rui Yang
- Department of PathologyXiangya HospitalCentral South UniversityChangshaHunanChina
- Department of PathologySchool of Basic Medical ScienceXiangya School of MedicineCentral South UniversityChangshaHunanChina
| | - Jingyue Sun
- Department of PathologyXiangya HospitalCentral South UniversityChangshaHunanChina
- Department of PathologySchool of Basic Medical ScienceXiangya School of MedicineCentral South UniversityChangshaHunanChina
| | - Chaotao Hu
- Regenerative Medicine, Medical SchoolUniversity of Chinese Academy of SciencesBeijingChina
| | - Shuang Liu
- Department of OncologyInstitute of Medical SciencesNational Clinical Research Center for Geriatric DisordersXiangya HospitalCentral South UniversityChangsha, Hunan, China. UniversityChangshaHunanChina
| | - Yongguang Tao
- Department of PathologyXiangya HospitalCentral South UniversityChangshaHunanChina
- NHC Key Laboratory of CarcinogenesisCancer Research Institute and School of Basic MedicineCentral South universityChangshaHunanChina
| | - Desheng Xiao
- Department of PathologyXiangya HospitalCentral South UniversityChangshaHunanChina
- Department of PathologySchool of Basic Medical ScienceXiangya School of MedicineCentral South UniversityChangshaHunanChina
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14
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Hao Z, Guo S, Tu W, Wang Q, Wang J, Zhang X, He Y, Gao D. Piezoelectric Catalysis Induces Tumor Cell Senescence to Boost Chemo-Immunotherapy. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2309487. [PMID: 38197548 DOI: 10.1002/smll.202309487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/22/2023] [Indexed: 01/11/2024]
Abstract
Cellular senescence, a vulnerable state of growth arrest, has been regarded as a potential strategy to weaken the resistance of tumor cells, leading to dramatic improvements in treatment efficacy. However, a selective and efficient strategy for inducing local tumor cellular senescence has not yet been reported. Herein, piezoelectric catalysis is utilized to reduce intracellular NAD+ to NADH for local tumor cell senescence for the first time. In detail, a biocompatible nanomedicine (BTO/Rh-D@M) is constructed by wrapping the piezoelectric BaTiO3/(Cp*RhCl2)2 (BTO/Rh) and doxorubicin (DOX) in the homologous cytomembrane with tumor target. After tumors are stimulated by ultrasound, negative and positive charges are generated on the BTO/Rh by piezoelectric catalysis, which reduce the intracellular NAD+ to NADH for cellular senescence and oxidize H2O to reactive oxygen species (ROS) for mitochondrial damage. Thus, the therapeutic efficacy of tumor immunogenic cell death-induced chemo-immunotherapy is boosted by combining cellular senescence, DOX, and ROS. The results indicate that 23.9% of the piezoelectric catalysis-treated tumor cells senesced, and solid tumors in mice disappeared completely after therapy. Collectively, this study highlights a novel strategy to realize cellular senescence utilizing piezoelectric catalysis and the significance of inducing tumor cellular senescence to improve therapeutic efficacy.
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Affiliation(s)
- Zining Hao
- State Key Laboratory of Metastable Materials Science and Technology Nano-Biotechnology Key Lab of Hebei Province, Applying Chemistry Key Lab of Hebei Province, Heavy Metal Deep-Remediation in Water and Resource Reuse Key Lab of Hebei, Yanshan University, Qinhuangdao, 066004, China
| | - Shu Guo
- School of Vehicle and Energy, Yanshan University, Qinhuangdao, 066004, China
| | - Wenkang Tu
- State Key Laboratory of Metastable Materials Science and Technology Nano-Biotechnology Key Lab of Hebei Province, Applying Chemistry Key Lab of Hebei Province, Heavy Metal Deep-Remediation in Water and Resource Reuse Key Lab of Hebei, Yanshan University, Qinhuangdao, 066004, China
| | - Qiang Wang
- School of Science, Yanshan University, Qinhuangdao, 066004, China
| | - Jing Wang
- State Key Laboratory of Metastable Materials Science and Technology Nano-Biotechnology Key Lab of Hebei Province, Applying Chemistry Key Lab of Hebei Province, Heavy Metal Deep-Remediation in Water and Resource Reuse Key Lab of Hebei, Yanshan University, Qinhuangdao, 066004, China
| | - Xuwu Zhang
- State Key Laboratory of Metastable Materials Science and Technology Nano-Biotechnology Key Lab of Hebei Province, Applying Chemistry Key Lab of Hebei Province, Heavy Metal Deep-Remediation in Water and Resource Reuse Key Lab of Hebei, Yanshan University, Qinhuangdao, 066004, China
| | - Yuchu He
- State Key Laboratory of Metastable Materials Science and Technology Nano-Biotechnology Key Lab of Hebei Province, Applying Chemistry Key Lab of Hebei Province, Heavy Metal Deep-Remediation in Water and Resource Reuse Key Lab of Hebei, Yanshan University, Qinhuangdao, 066004, China
| | - Dawei Gao
- State Key Laboratory of Metastable Materials Science and Technology Nano-Biotechnology Key Lab of Hebei Province, Applying Chemistry Key Lab of Hebei Province, Heavy Metal Deep-Remediation in Water and Resource Reuse Key Lab of Hebei, Yanshan University, Qinhuangdao, 066004, China
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15
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Liu Y, Zhang X, Pang Z, Wang Y, Zheng H, Wang G, Wang K, Du J. Prediction of prognosis and immunotherapy efficacy based on metabolic landscape in lung adenocarcinoma by bulk, single-cell RNA sequencing and Mendelian randomization analyses. Aging (Albany NY) 2024; 16:8772-8809. [PMID: 38771130 PMCID: PMC11164486 DOI: 10.18632/aging.205838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 04/16/2024] [Indexed: 05/22/2024]
Abstract
Immunotherapy has been a remarkable clinical advancement in cancer treatment, but only a few patients benefit from it. Metabolic reprogramming is tightly associated with immunotherapy efficacy and clinical outcomes. However, comprehensively analyzing their relationship is still lacking in lung adenocarcinoma (LUAD). Herein, we evaluated 84 metabolic pathways in TCGA-LUAD by ssGSEA. A matrix of metabolic pathway pairs was generated and a metabolic pathway-pair score (MPPS) model was established by univariable, LASSO, multivariable Cox regression analyses. The differences of metabolic reprogramming, tumor microenvironment (TME), tumor mutation burden and drug sensitivity in different MPPS groups were further explored. WGCNA and 117 machine learning algorithms were performed to identify MPPS-related genes. Single-cell RNA sequencing and in vitro experiments were used to explore the role of C1QTNF6 on TME. The results showed MPPS model accurately predicted prognosis and immunotherapy efficacy of LUAD patients regardless of sequencing platforms. High-MPPS group had worse prognosis, immunotherapy efficacy and lower immune cells infiltration, immune-related genes expression and cancer-immunity cycle scores than low-MPPS group. Seven MPPS-related genes were identified, of which C1QTNF6 was mainly expressed in fibroblasts. High C1QTNF6 expression in fibroblasts was associated with more infiltration of M2 macrophage, Treg cells and less infiltration of NK cells, memory CD8+ T cells. In vitro experiments validated silencing C1QTNF6 in fibroblasts could inhibit M2 macrophage polarization and migration. The study depicted the metabolic landscape of LUAD and constructed a MPPS model to accurately predict prognosis and immunotherapy efficacy. C1QTNF6 was a promising target to regulate M2 macrophage polarization and migration.
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Affiliation(s)
- Yong Liu
- Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan 250021, Shandong, China
| | - Xiangwei Zhang
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong, China
| | - Zhaofei Pang
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong, China
| | - Yadong Wang
- Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan 250021, Shandong, China
| | - Haotian Zheng
- Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan 250021, Shandong, China
| | - Guanghui Wang
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong, China
- Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong, China
| | - Kai Wang
- Institute of Oncology, Shandong Provincial Hospital, Shandong University, Jinan 250021, Shandong, China
| | - Jiajun Du
- Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong, China
- Institute of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong, China
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16
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Chapman NM, Chi H. Metabolic rewiring and communication in cancer immunity. Cell Chem Biol 2024; 31:862-883. [PMID: 38428418 PMCID: PMC11177544 DOI: 10.1016/j.chembiol.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 01/29/2024] [Accepted: 02/08/2024] [Indexed: 03/03/2024]
Abstract
The immune system shapes tumor development and progression. Although immunotherapy has transformed cancer treatment, its overall efficacy remains limited, underscoring the need to uncover mechanisms to improve therapeutic effects. Metabolism-associated processes, including intracellular metabolic reprogramming and intercellular metabolic crosstalk, are emerging as instructive signals for anti-tumor immunity. Here, we first summarize the roles of intracellular metabolic pathways in controlling immune cell function in the tumor microenvironment. How intercellular metabolic communication regulates anti-tumor immunity, and the impact of metabolites or nutrients on signaling events, are also discussed. We then describe how targeting metabolic pathways in tumor cells or intratumoral immune cells or via nutrient-based interventions may boost cancer immunotherapies. Finally, we conclude with discussions on profiling and functional perturbation methods of metabolic activity in intratumoral immune cells, and perspectives on future directions. Uncovering the mechanisms for metabolic rewiring and communication in the tumor microenvironment may enable development of novel cancer immunotherapies.
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Affiliation(s)
- Nicole M Chapman
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Hongbo Chi
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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17
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Wang R, Yan Q, Liu X, Wu J. Unraveling lipid metabolism reprogramming for overcoming drug resistance in melanoma. Biochem Pharmacol 2024; 223:116122. [PMID: 38467377 DOI: 10.1016/j.bcp.2024.116122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 02/27/2024] [Accepted: 03/07/2024] [Indexed: 03/13/2024]
Abstract
Cutaneous melanoma is the deadliest form of skin cancer, and its incidence is continuing to increase worldwide in the last decades. Traditional therapies for melanoma can easily cause drug resistance, thus the treatment of melanoma remains a challenge. Various studies have focused on reversing the drug resistance. As tumors grow and progress, cancer cells face a constantly changing microenvironment made up of different nutrients, metabolites, and cell types. Multiple studies have shown that metabolic reprogramming of cancer is not static, but a highly dynamic process. There is a growing interest in exploring the relationship between melanoma andmetabolic reprogramming, one of which may belipid metabolism. This review frames the recent research progresses on lipid metabolism in melanoma.In addition, we emphasize the dynamic ability of metabolism during tumorigenesis as a target for improving response to different therapies and for overcoming drug resistance in melanoma.
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Affiliation(s)
- Ruilong Wang
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China
| | - Qin Yan
- Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiao Liu
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
| | - Jinfeng Wu
- Department of Dermatology, Huashan Hospital, Fudan University, Shanghai, China.
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18
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Shan Y, Xie T, Sun Y, Lu Z, Topatana W, Juengpanich S, Chen T, Han Y, Cao J, Hu J, Li S, Cai X, Chen M. Lipid metabolism in tumor-infiltrating regulatory T cells: perspective to precision immunotherapy. Biomark Res 2024; 12:41. [PMID: 38644503 PMCID: PMC11034130 DOI: 10.1186/s40364-024-00588-8] [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: 01/25/2024] [Accepted: 04/04/2024] [Indexed: 04/23/2024] Open
Abstract
Regulatory T cells (Tregs) are essential to the negative regulation of the immune system, as they avoid excessive inflammation and mediate tumor development. The abundance of Tregs in tumor tissues suggests that Tregs may be eliminated or functionally inhibited to stimulate antitumor immunity. However, immunotherapy targeting Tregs has been severely hampered by autoimmune diseases due to the systemic elimination of Tregs. Recently, emerging studies have shown that metabolic regulation can specifically target tumor-infiltrating immune cells, and lipid accumulation in TME is associated with immunosuppression. Nevertheless, how Tregs actively regulate metabolic reprogramming to outcompete effector T cells (Teffs), and how lipid metabolic reprogramming contributes to the immunomodulatory capacity of Tregs have not been fully discussed. This review will discuss the physiological processes by which lipid accumulation confers a metabolic advantage to tumor-infiltrating Tregs (TI-Tregs) and amplifies their immunosuppressive functions. Furthermore, we will provide a summary of the driving effects of various metabolic regulators on the metabolic reprogramming of Tregs. Finally, we propose that targeting the lipid metabolism of TI-Tregs could be efficacious either alone or in conjunction with immune checkpoint therapy.
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Affiliation(s)
- Yukai Shan
- Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, Key Laboratory of Endoscopic Technique Research of Zhejiang Province, No.3 East Qingchun Road, 310016, Hangzhou, China
- National Engineering Research Center of Innovation and Application of Minimally Invasive Instruments, Sir Run-Run Shaw Hospital, Zhejiang University, 310016, Hangzhou, China
| | - Tianao Xie
- Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, Key Laboratory of Endoscopic Technique Research of Zhejiang Province, No.3 East Qingchun Road, 310016, Hangzhou, China
- National Engineering Research Center of Innovation and Application of Minimally Invasive Instruments, Sir Run-Run Shaw Hospital, Zhejiang University, 310016, Hangzhou, China
| | - Yuchao Sun
- Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, Key Laboratory of Endoscopic Technique Research of Zhejiang Province, No.3 East Qingchun Road, 310016, Hangzhou, China
- National Engineering Research Center of Innovation and Application of Minimally Invasive Instruments, Sir Run-Run Shaw Hospital, Zhejiang University, 310016, Hangzhou, China
| | - Ziyi Lu
- Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, Key Laboratory of Endoscopic Technique Research of Zhejiang Province, No.3 East Qingchun Road, 310016, Hangzhou, China
- National Engineering Research Center of Innovation and Application of Minimally Invasive Instruments, Sir Run-Run Shaw Hospital, Zhejiang University, 310016, Hangzhou, China
| | - Win Topatana
- Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, Key Laboratory of Endoscopic Technique Research of Zhejiang Province, No.3 East Qingchun Road, 310016, Hangzhou, China
- National Engineering Research Center of Innovation and Application of Minimally Invasive Instruments, Sir Run-Run Shaw Hospital, Zhejiang University, 310016, Hangzhou, China
- School of Medicine, Zhejiang University, 310058, Hangzhou, China
| | - Sarun Juengpanich
- National Engineering Research Center of Innovation and Application of Minimally Invasive Instruments, Sir Run-Run Shaw Hospital, Zhejiang University, 310016, Hangzhou, China
| | - Tianen Chen
- Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, Key Laboratory of Endoscopic Technique Research of Zhejiang Province, No.3 East Qingchun Road, 310016, Hangzhou, China
- National Engineering Research Center of Innovation and Application of Minimally Invasive Instruments, Sir Run-Run Shaw Hospital, Zhejiang University, 310016, Hangzhou, China
| | - Yina Han
- Department of Pathology, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, 310016, Hangzhou, China
| | - Jiasheng Cao
- Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, Key Laboratory of Endoscopic Technique Research of Zhejiang Province, No.3 East Qingchun Road, 310016, Hangzhou, China
- National Engineering Research Center of Innovation and Application of Minimally Invasive Instruments, Sir Run-Run Shaw Hospital, Zhejiang University, 310016, Hangzhou, China
| | - Jiahao Hu
- Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, Key Laboratory of Endoscopic Technique Research of Zhejiang Province, No.3 East Qingchun Road, 310016, Hangzhou, China
- National Engineering Research Center of Innovation and Application of Minimally Invasive Instruments, Sir Run-Run Shaw Hospital, Zhejiang University, 310016, Hangzhou, China
| | - Shijie Li
- Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, Key Laboratory of Endoscopic Technique Research of Zhejiang Province, No.3 East Qingchun Road, 310016, Hangzhou, China.
- National Engineering Research Center of Innovation and Application of Minimally Invasive Instruments, Sir Run-Run Shaw Hospital, Zhejiang University, 310016, Hangzhou, China.
| | - Xiujun Cai
- Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, Key Laboratory of Endoscopic Technique Research of Zhejiang Province, No.3 East Qingchun Road, 310016, Hangzhou, China.
- National Engineering Research Center of Innovation and Application of Minimally Invasive Instruments, Sir Run-Run Shaw Hospital, Zhejiang University, 310016, Hangzhou, China.
- School of Medicine, Zhejiang University, 310058, Hangzhou, China.
| | - Mingyu Chen
- Department of General Surgery, Sir Run-Run Shaw Hospital, Zhejiang University, Key Laboratory of Endoscopic Technique Research of Zhejiang Province, No.3 East Qingchun Road, 310016, Hangzhou, China.
- National Engineering Research Center of Innovation and Application of Minimally Invasive Instruments, Sir Run-Run Shaw Hospital, Zhejiang University, 310016, Hangzhou, China.
- School of Medicine, Zhejiang University, 310058, Hangzhou, China.
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19
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Liu S, Zhao Y, Gao Y, Li F, Zhang Y. Targeting metabolism to improve CAR-T cells therapeutic efficacy. Chin Med J (Engl) 2024; 137:909-920. [PMID: 38501360 PMCID: PMC11046027 DOI: 10.1097/cm9.0000000000003046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Indexed: 03/20/2024] Open
Abstract
ABSTRACT Chimeric antigen receptor T (CAR-T) cell therapy achieved advanced progress in the treatment of hematological tumors. However, the application of CAR-T cell therapy for solid tumors still faces many challenges. Competition with tumor cells for metabolic resources in an already nutrient-poor tumor microenvironment is a major contributing cause to CAR-T cell therapy's low effectiveness. Abnormal metabolic processes are now acknowledged to shape the tumor microenvironment, which is characterized by increased interstitial fluid pressure, low pH level, hypoxia, accumulation of immunosuppressive metabolites, and mitochondrial dysfunction. These factors are important contributors to restriction of T cell proliferation, cytokine release, and suppression of tumor cell-killing ability. This review provides an overview of how different metabolites regulate T cell activity, analyzes the current dilemmas, and proposes key strategies to reestablish the CAR-T cell therapy's effectiveness through targeting metabolism, with the aim of providing new strategies to surmount the obstacle in the way of solid tumor CAR-T cell treatment.
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Affiliation(s)
- Shasha Liu
- Biotherapy Center and Cancer Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Yuyu Zhao
- Biotherapy Center and Cancer Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Yaoxin Gao
- Biotherapy Center and Cancer Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Feng Li
- Biotherapy Center and Cancer Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
- Engineering Key Laboratory for Cell Therapy of Henan Province, Zhengzhou, Henan 450052, China
| | - Yi Zhang
- Biotherapy Center and Cancer Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan 450052, China
- Engineering Key Laboratory for Cell Therapy of Henan Province, Zhengzhou, Henan 450052, China
- School of Public Health, Zhengzhou University, Zhengzhou, Henan 450000, China
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20
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Si F, Liu X, Tao Y, Zhang Y, Ma F, Hsueh EC, Puram SV, Peng G. Blocking senescence and tolerogenic function of dendritic cells induced by γδ Treg cells enhances tumor-specific immunity for cancer immunotherapy. J Immunother Cancer 2024; 12:e008219. [PMID: 38580332 PMCID: PMC11002396 DOI: 10.1136/jitc-2023-008219] [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] [Accepted: 02/23/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND Regulatory T (Treg) cells are a key component in maintaining the suppressive tumor microenvironment and immune suppression in different types of cancers. A precise understanding of the molecular mechanisms used by Treg cells for immune suppression is critical for the development of effective strategies for cancer immunotherapy. METHODS Senescence development and tolerogenic functions of dendritic cells (DCs) induced by breast cancer tumor-derived γδ Treg cells were fully characterized using real-time PCR, flow cytometry, western blot, and functional assays. Loss-of-function strategies with pharmacological inhibitor and/or neutralizing antibody were used to identify the potential molecule(s) and pathway(s) involved in DC senescence and dysfunction induced by Treg cells. Impaired tumor antigen HER2-specific recognition and immune response of senescent DCs induced by γδ Treg cells were explored in vitro and in vivo in humanized mouse models. In addition, the DC-based HER2 tumor vaccine immunotherapy in breast cancer models was performed to explore the enhanced antitumor immunity via prevention of DC senescence through blockages of STAT3 and programmed death-ligand 1 (PD-L1) signaling. RESULTS We showed that tumor-derived γδ Treg cells promote the development of senescence in DCs with tolerogenic functions in breast cancer. Senescent DCs induced by γδ Treg cells suppress Th1 and Th17 cell differentiation but promote the development of Treg cells. In addition, we demonstrated that PD-L1 and STAT3 signaling pathways are critical and involved in senescence induction in DCs mediated by tumor-derived γδ Treg cells. Importantly, our complementary in vivo studies further demonstrated that blockages of PD-L1 and/or STAT3 signaling can prevent γδ Treg-induced senescence and reverse tolerogenic functions in DCs, resulting in enhanced HER2 tumor-specific immune responses and immunotherapy efficacy in human breast cancer models. CONCLUSIONS These studies not only dissect the suppressive mechanism mediated by tumor-derived γδ Treg cells on DCs in the tumor microenvironment but also provide novel strategies to prevent senescence and dysfunction in DCs and enhance antitumor efficacy mediated by tumor-specific T cells for cancer immunotherapy.
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Affiliation(s)
- Fusheng Si
- Division of Infectious Diseases, Allergy & Immunology and Department of Internal Medicine, Saint Louis University School of Medicine, St Louis, Missouri, USA
| | - Xia Liu
- Department of Otolaryngology-Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA
| | - Yan Tao
- Department of Otolaryngology-Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA
| | - Yuanqin Zhang
- Department of Otolaryngology-Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA
| | - Feiya Ma
- Division of Infectious Diseases, Allergy & Immunology and Department of Internal Medicine, Saint Louis University School of Medicine, St Louis, Missouri, USA
| | - Eddy C Hsueh
- Division of General Surgery and Department of Surgery, Saint Louis University School of Medicine, St. Louis, Missouri, USA
| | - Sidharth V Puram
- Department of Otolaryngology-Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Guangyong Peng
- Division of Infectious Diseases, Allergy & Immunology and Department of Internal Medicine, Saint Louis University School of Medicine, St Louis, Missouri, USA
- Department of Otolaryngology-Head and Neck Surgery, Washington University School of Medicine, St Louis, Missouri, USA
- Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
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21
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Zhang T, Tai Z, Miao F, Zhang X, Li J, Zhu Q, Wei H, Chen Z. Adoptive cell therapy for solid tumors beyond CAR-T: Current challenges and emerging therapeutic advances. J Control Release 2024; 368:372-396. [PMID: 38408567 DOI: 10.1016/j.jconrel.2024.02.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/05/2024] [Accepted: 02/23/2024] [Indexed: 02/28/2024]
Abstract
Adoptive cellular immunotherapy using immune cells expressing chimeric antigen receptors (CARs) is a highly specific anti-tumor immunotherapy that has shown promise in the treatment of hematological malignancies. However, there has been a slow progress toward the treatment of solid tumors owing to the complex tumor microenvironment that affects the localization and killing ability of the CAR cells. Solid tumors with a strong immunosuppressive microenvironment and complex vascular system are unaffected by CAR cell infiltration and attack. To improve their efficacy toward solid tumors, CAR cells have been modified and upgraded by "decorating" and "pruning". This review focuses on the structure and function of CARs, the immune cells that can be engineered by CARs and the transformation strategies to overcome solid tumors, with a view to broadening ideas for the better application of CAR cell therapy for the treatment of solid tumors.
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Affiliation(s)
- Tingrui Zhang
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200443, China; Medical Guarantee Center, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China; School of Medicine, Shanghai University, Shanghai 200444, China; Shanghai Engineering Research Center for Topical Chinese Medicine, Shanghai 200443, China
| | - Zongguang Tai
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200443, China; Shanghai Engineering Research Center for Topical Chinese Medicine, Shanghai 200443, China; Department of Pharmacy, First Affiliated Hospital of Naval Medical University, Shanghai 200433, China
| | - Fengze Miao
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200443, China; Shanghai Engineering Research Center for Topical Chinese Medicine, Shanghai 200443, China
| | - Xinyue Zhang
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200443, China; Shanghai Engineering Research Center for Topical Chinese Medicine, Shanghai 200443, China
| | - Jiadong Li
- School of Medicine, Shanghai University, Shanghai 200444, China
| | - Quangang Zhu
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200443, China; Shanghai Engineering Research Center for Topical Chinese Medicine, Shanghai 200443, China
| | - Hua Wei
- Medical Guarantee Center, Second Affiliated Hospital of Naval Medical University, Shanghai 200003, China.
| | - Zhongjian Chen
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai 200443, China; School of Medicine, Shanghai University, Shanghai 200444, China; Shanghai Engineering Research Center for Topical Chinese Medicine, Shanghai 200443, China.
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22
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Zhou J, Ji J, Li X, Zhang Y, Gu L, Zheng X, Li Y, He J, Yang C, Xiao K, Gong Q, Gu Z, Luo K. Homomultivalent Polymeric Nanotraps Disturb Lipid Metabolism Homeostasis and Tune Pyroptosis in Cancer. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2312528. [PMID: 38240412 DOI: 10.1002/adma.202312528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 01/16/2024] [Indexed: 01/30/2024]
Abstract
Genetic manipulations and pharmaceutical interventions to disturb lipid metabolism homeostasis have emerged as an attractive approach for the management of cancer. However, the research on the utilization of bioactive materials to modulate lipid metabolism homeostasis remains constrained. In this study, heptakis (2,3,6-tri-O-methyl)-β-cyclodextrin (TMCD) is utilized to fabricate homomultivalent polymeric nanotraps, and surprisingly, its unprecedented ability to perturb lipid metabolism homeostasis and induce pyroptosis in tumor cells is found. Through modulation of the density of TMCD arrayed on the polymers, one top-performing nanotrap, PTMCD4, exhibits the most powerful cholesterol-trapping and depletion capacity, thus achieving prominent cytotoxicity toward different types of tumor cells and encouraging antitumor effects in vivo. The interactions between PTMCD4 and biomembranes of tumor cells effectively enable the reduction of cellular phosphatidylcholine and cholesterol levels, thus provoking damage to the biomembrane integrity and perturbation of lipid metabolism homeostasis. Additionally, the interplays between PTMCD4 and lysosomes also induce lysosomal stress, activate the nucleotide-binding oligomerization domain-like receptor protein 3 inflammasomes, and subsequently trigger tumor cell pyroptosis. To sum up, this study first introduces dendronized bioactive polymers to manipulate lipid metabolism and has shed light on another innovative insight for cancer therapy.
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Affiliation(s)
- Jie Zhou
- Department of Radiology, and Department of Pharmacy, Huaxi MR Research Center (HMRRC), Laboratory of Stem Cell Biology, and Laboratory of Precision Cancer Therapeutics, Precision Medicine Research Center, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jiecheng Ji
- Department of Radiology, and Department of Pharmacy, Huaxi MR Research Center (HMRRC), Laboratory of Stem Cell Biology, and Laboratory of Precision Cancer Therapeutics, Precision Medicine Research Center, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xue Li
- Department of Radiology, and Department of Pharmacy, Huaxi MR Research Center (HMRRC), Laboratory of Stem Cell Biology, and Laboratory of Precision Cancer Therapeutics, Precision Medicine Research Center, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yuxin Zhang
- Department of Radiology, and Department of Pharmacy, Huaxi MR Research Center (HMRRC), Laboratory of Stem Cell Biology, and Laboratory of Precision Cancer Therapeutics, Precision Medicine Research Center, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Lei Gu
- Department of Radiology, and Department of Pharmacy, Huaxi MR Research Center (HMRRC), Laboratory of Stem Cell Biology, and Laboratory of Precision Cancer Therapeutics, Precision Medicine Research Center, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiuli Zheng
- Department of Radiology, and Department of Pharmacy, Huaxi MR Research Center (HMRRC), Laboratory of Stem Cell Biology, and Laboratory of Precision Cancer Therapeutics, Precision Medicine Research Center, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yunkun Li
- Department of Radiology, and Department of Pharmacy, Huaxi MR Research Center (HMRRC), Laboratory of Stem Cell Biology, and Laboratory of Precision Cancer Therapeutics, Precision Medicine Research Center, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jinhan He
- Department of Radiology, and Department of Pharmacy, Huaxi MR Research Center (HMRRC), Laboratory of Stem Cell Biology, and Laboratory of Precision Cancer Therapeutics, Precision Medicine Research Center, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Cheng Yang
- Key Laboratory of Green Chemistry & Technology, College of Chemistry, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610064, China
| | - Kai Xiao
- Department of Radiology, and Department of Pharmacy, Huaxi MR Research Center (HMRRC), Laboratory of Stem Cell Biology, and Laboratory of Precision Cancer Therapeutics, Precision Medicine Research Center, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Qiyong Gong
- Department of Radiology, and Department of Pharmacy, Huaxi MR Research Center (HMRRC), Laboratory of Stem Cell Biology, and Laboratory of Precision Cancer Therapeutics, Precision Medicine Research Center, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, and Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, China
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, 361000, China
| | - Zhongwei Gu
- Department of Radiology, and Department of Pharmacy, Huaxi MR Research Center (HMRRC), Laboratory of Stem Cell Biology, and Laboratory of Precision Cancer Therapeutics, Precision Medicine Research Center, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Kui Luo
- Department of Radiology, and Department of Pharmacy, Huaxi MR Research Center (HMRRC), Laboratory of Stem Cell Biology, and Laboratory of Precision Cancer Therapeutics, Precision Medicine Research Center, Frontiers Science Center for Disease-Related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, and Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, China
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23
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Li ZC, Wang J, Liu HB, Zheng YM, Huang JH, Cai JB, Zhang L, Liu X, Du L, Yang XT, Chai XQ, Jiang YH, Ren ZG, Zhou J, Fan J, Yu DC, Sun HC, Huang C, Liu F. Proteomic and metabolomic features in patients with HCC responding to lenvatinib and anti-PD1 therapy. Cell Rep 2024; 43:113877. [PMID: 38421869 DOI: 10.1016/j.celrep.2024.113877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 12/16/2023] [Accepted: 02/13/2024] [Indexed: 03/02/2024] Open
Abstract
Combination therapy (lenvatinib/programmed death-1 inhibitor) is effective for treating unresectable hepatocellular carcinoma (uHCC). We reveal that responders have better overall and progression-free survival, as well as high tumor mutation burden and special somatic variants. We analyze the proteome and metabolome of 82 plasma samples from patients with hepatocellular carcinoma (HCC; n = 51) and normal controls (n = 15), revealing that individual differences outweigh treatment differences. Responders exhibit enhanced activity in the alternative/lectin complement pathway and higher levels of lysophosphatidylcholines (LysoPCs), predicting a favorable prognosis. Non-responders are enriched for immunoglobulins, predicting worse outcomes. Compared to normal controls, HCC plasma proteins show acute inflammatory response and platelet activation, while LysoPCs decrease. Combination therapy increases LysoPCs/phosphocholines in responders. Logistic regression/random forest models using metabolomic features achieve good performance in the prediction of responders. Proteomic analysis of cancer tissues unveils molecular features that are associated with side effects in responders receiving combination therapy. In conclusion, our analysis identifies plasma features associated with uHCC responders to combination therapy.
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Affiliation(s)
- Zhong-Chen Li
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Department of Hepatic Oncology, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie Wang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - He-Bin Liu
- Shanghai Omicsolution Co., Ltd., 28 Yuanwen Road, Shanghai 201199, China
| | - Yi-Min Zheng
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Jian-Hang Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - Jia-Bin Cai
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Lei Zhang
- Institutes of Biomedical of Sciences, Fudan University, 220 Handan Road, Shanghai 200433, China
| | - Xin Liu
- Department of Central Laboratory Medicine, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 274 Zhijiang Road, Shanghai 200071, China
| | - Ling Du
- Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - Xue-Ting Yang
- Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - Xiao-Qiang Chai
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Ying-Hua Jiang
- Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China
| | - Zheng-Gang Ren
- Department of Hepatic Oncology, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - De-Cai Yu
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
| | - Hui-Chuan Sun
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China.
| | - Cheng Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute and Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China.
| | - Feng Liu
- Minhang Hospital, Fudan University, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical of Sciences, Fudan University, 131 DongAn Road, Shanghai 200032, China.
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Yu PJ, Zhou M, Liu Y, Du J. Senescent T Cells in Age-Related Diseases. Aging Dis 2024:AD.2024.0219. [PMID: 38502582 DOI: 10.14336/ad.2024.0219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 02/18/2024] [Indexed: 03/21/2024] Open
Abstract
Age-induced alterations in human immunity are often considered deleterious and are referred to as immunosenescence. The immune system monitors the number of senescent cells in the body, while immunosenescence may represent the initiation of systemic aging. Immune cells, particularly T cells, are the most impacted and involved in age-related immune function deterioration, making older individuals more prone to different age-related diseases. T-cell senescence can impact the effectiveness of immunotherapies that rely on the immune system's function, including vaccines and adoptive T-cell therapies. The research and practice of using senescent T cells as therapeutic targets to intervene in age-related diseases are in their nascent stages. Therefore, in this review, we summarize recent related literature to investigate the characteristics of senescent T cells as well as their formation mechanisms, relationship with various aging-related diseases, and means of intervention. The primary objective of this article is to explore the prospects and possibilities of therapeutically targeting senescent T cells, serving as a valuable resource for the development of immunotherapy and treatment of age-related diseases.
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25
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Yang Q, Li B, Luan T, Wang X, Duan B, Wei C, Chen S. Exploring blood lipids-immunity associations following HBV vaccination: evidence from a large cross-sectional study. Front Cell Infect Microbiol 2024; 14:1369661. [PMID: 38524185 PMCID: PMC10959126 DOI: 10.3389/fcimb.2024.1369661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 02/19/2024] [Indexed: 03/26/2024] Open
Abstract
Introduction Serological responses following hepatitis B vaccination are crucial for preventing hepatitis B (HBV). However, the potential relationship between serum lipid levels and immunity from HBV vaccination remains poorly understood. Methods In this study, we conducted an analysis of the National Health and Nutrition Examination Survey (NHANES) data spanning from 2003 to 2016. Multivariable weighted logistic regression models, generalized linear analysis, stratified models, smooth curve fitting, segmentation effect analysis and sensitivity analysis were utilized to assess the relationships. Results After adjusting for relevant covariates, we observed that low levels of high-density lipoprotein cholesterol (HDL) were independently linked to a significantly lower seroprotective rate. Compared to HDL levels of ≥ 60 mg/dL, the odds ratios (ORs) for individuals with borderline levels (40-59 mg/dL for men, 50-59 mg/dL for women) and low levels (< 40 mg/dL for men, < 50 mg/dL for women) were 0.83 (95% CI 0.69-0.99) and 0.65 (95% CI 0.56-0.78), respectively. This association was particularly pronounced in individuals aged 40 or older. Conversely, higher levels of the triglyceride to HDL (TG/HDL) ratio (OR, 0.90; 95% CI, 0.84-0.98), total cholesterol to HDL (Chol/HDL) ratio (OR, 0.77; 95% CI, 0.64-0.92), and low-density lipoprotein to HDL (LDL/HDL) ratio (OR, 0.85; 95% CI, 0.76-0.96) were associated with a decreased likelihood of seroprotection. Conclusion This study suggests that lipid levels may play a role in modulating the immune response following HBV vaccination.
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Affiliation(s)
- Qian Yang
- Clinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Benhua Li
- Clinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Tiankuo Luan
- Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaoyu Wang
- Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Bixia Duan
- Chongqing Key Laboratory of Molecular Oncology and Epigenetics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Chengcheng Wei
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shi Chen
- Clinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Huldani H, Malviya J, Rodrigues P, Hjazi A, Deorari MM, Al-Hetty HRAK, Qasim QA, Alasheqi MQ, Ihsan A. Discovering the strength of immunometabolism in cancer therapy: Employing metabolic pathways to enhance immune responses. Cell Biochem Funct 2024; 42:e3934. [PMID: 38379261 DOI: 10.1002/cbf.3934] [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: 10/11/2023] [Revised: 01/03/2024] [Accepted: 01/09/2024] [Indexed: 02/22/2024]
Abstract
Immunometabolism, which studies cellular metabolism and immune cell function, is a possible cancer treatment. Metabolic pathways regulate immune cell activation, differentiation, and effector functions, crucial to tumor identification and elimination. Immune evasion and tumor growth can result from tumor microenvironment metabolic dysregulation. These metabolic pathways can boost antitumor immunity. This overview discusses immune cell metabolism, including glycolysis, oxidative phosphorylation, amino acid, and lipid metabolism. Amino acid and lipid metabolic manipulations may improve immune cell activity and antitumor immunity. Combination therapy using immunometabolism-based strategies may enhance therapeutic efficacy. The complexity of the metabolic network, biomarker development, challenges, and future approaches are all covered, along with a summary of case studies demonstrating the effectiveness of immunometabolism-based therapy. Metabolomics, stable isotope tracing, single-cell analysis, and computational modeling are also reviewed for immunometabolism research. Personalized and combination treatments are considered. This review adds to immunometabolism expertise and sheds light on metabolic treatments' ability to boost cancer treatment immunological response. Also, in this review, we discussed the immune response in cancer treatment and altering metabolic pathways to increase the immune response against malignancies.
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Affiliation(s)
- Huldani Huldani
- Department of Physiology, Universitas Lambung Mangkurat, Banjarmasin, South Kalimantan, Indonesia
| | - Jitendra Malviya
- Institute of Advance Bioinformatics, Bhopal, Madhya Pradesh, India
| | - Paul Rodrigues
- Department of Computer Engineering, King Khalid University, Al-Faraa, Asir-Abha, Saudi Arabia
| | - Ahmed Hjazi
- Department of Medical Laboratory Sciences, Prince Sattam bin Abdulaziz University College of Applied Medical Sciences, Al-Kharj, Saudi Arabia
| | - Maha Medha Deorari
- Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, India
| | | | | | | | - Ali Ihsan
- Department of Medical Laboratories Techniques, Imam Ja'afar Al-Sadiq University, Al-Muthanna, Iraq
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27
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Ye B, Pei Y, Wang L, Meng D, Zhang Y, Zou S, Li H, Liu J, Xie Z, Tian C, Jiang Y, Qiao Y, Gao X, Zhang Y, Ma N. NAD + supplementation prevents STING-induced senescence in CD8 + T cells by improving mitochondrial homeostasis. J Cell Biochem 2024; 125:e30522. [PMID: 38224175 DOI: 10.1002/jcb.30522] [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: 10/14/2023] [Revised: 12/01/2023] [Accepted: 12/27/2023] [Indexed: 01/16/2024]
Abstract
Understanding the connection between senescence phenotypes and mitochondrial dysfunction is crucial in aging and premature aging diseases. Loss of mitochondrial function leads to a decline in T cell function, which plays a significant role in this process. However, more research is required to determine if improving mitochondrial homeostasis alleviates senescence phenotypes. Our research has shown an association between NAD+ and senescent T cells through the cGAS-STING pathway, which can lead to an inflammatory phenotype. Further research is needed to fully understand the role of NAD+ in T-cell aging and how it can be utilized to improve mitochondrial homeostasis and alleviate senescence phenotypes. We demonstrate here that mitochondrial dysfunction and cellular senescence with a senescence-associated secretory phenotype (SASP) occur in senescent T cells and tumor-bearing mice. Senescence is mediated by a stimulator of interferon genes (STING) and involves ectopic cytoplasmic DNA. We further show that boosting intracellular NAD+ levels with nicotinamide mononucleotide (NMN) prevents senescence and SASP by promoting mitophagy. NMN treatment also suppresses senescence and neuroinflammation and improves the survival cycle of mice. Encouraging mitophagy may be a useful strategy to prevent CD8+ T cells from senescence due to mitochondrial dysfunction. Additionally, supplementing with NMN to increase NAD+ levels could enhance survival rates in mice while also reducing senescence and inflammation, and enhancing mitophagy as a potential therapeutic intervention.
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Affiliation(s)
- Bin Ye
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, China
- Key Laboratory of Cardiovascular Medicine Research (Harbin Medical University), Ministry of Education, Harbin, China
- Translational Medicine Center of Northern China, Harbin Medical University, Harbin, China
- Medical Science Institute of Heilongjiang Province, Harbin, China
| | - Yingting Pei
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, China
- Key Laboratory of Cardiovascular Medicine Research (Harbin Medical University), Ministry of Education, Harbin, China
- Translational Medicine Center of Northern China, Harbin Medical University, Harbin, China
- Medical Science Institute of Heilongjiang Province, Harbin, China
| | - Lujing Wang
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, China
- Key Laboratory of Cardiovascular Medicine Research (Harbin Medical University), Ministry of Education, Harbin, China
- Translational Medicine Center of Northern China, Harbin Medical University, Harbin, China
- Medical Science Institute of Heilongjiang Province, Harbin, China
| | - Dehao Meng
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, China
- Key Laboratory of Cardiovascular Medicine Research (Harbin Medical University), Ministry of Education, Harbin, China
- Translational Medicine Center of Northern China, Harbin Medical University, Harbin, China
- Medical Science Institute of Heilongjiang Province, Harbin, China
| | - Yu Zhang
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, China
- Key Laboratory of Cardiovascular Medicine Research (Harbin Medical University), Ministry of Education, Harbin, China
- Translational Medicine Center of Northern China, Harbin Medical University, Harbin, China
- Medical Science Institute of Heilongjiang Province, Harbin, China
| | - Shuang Zou
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, China
- Key Laboratory of Cardiovascular Medicine Research (Harbin Medical University), Ministry of Education, Harbin, China
- Translational Medicine Center of Northern China, Harbin Medical University, Harbin, China
- Medical Science Institute of Heilongjiang Province, Harbin, China
| | - Henian Li
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, China
- Key Laboratory of Cardiovascular Medicine Research (Harbin Medical University), Ministry of Education, Harbin, China
- Translational Medicine Center of Northern China, Harbin Medical University, Harbin, China
- Medical Science Institute of Heilongjiang Province, Harbin, China
| | - Jinying Liu
- Department of laboratory diagnosis, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ziying Xie
- Department of laboratory diagnosis, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Changhong Tian
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, China
- Key Laboratory of Cardiovascular Medicine Research (Harbin Medical University), Ministry of Education, Harbin, China
- Translational Medicine Center of Northern China, Harbin Medical University, Harbin, China
- Medical Science Institute of Heilongjiang Province, Harbin, China
| | - Yuqi Jiang
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, China
- Key Laboratory of Cardiovascular Medicine Research (Harbin Medical University), Ministry of Education, Harbin, China
- Translational Medicine Center of Northern China, Harbin Medical University, Harbin, China
- Medical Science Institute of Heilongjiang Province, Harbin, China
| | - Yu Qiao
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, China
- Key Laboratory of Cardiovascular Medicine Research (Harbin Medical University), Ministry of Education, Harbin, China
- Translational Medicine Center of Northern China, Harbin Medical University, Harbin, China
- Medical Science Institute of Heilongjiang Province, Harbin, China
| | - Xu Gao
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, China
- Key Laboratory of Cardiovascular Medicine Research (Harbin Medical University), Ministry of Education, Harbin, China
- Translational Medicine Center of Northern China, Harbin Medical University, Harbin, China
- Medical Science Institute of Heilongjiang Province, Harbin, China
| | - Yanfen Zhang
- Department of laboratory diagnosis, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ning Ma
- Department of Biochemistry and Molecular Biology, Harbin Medical University, Harbin, China
- Key Laboratory of Cardiovascular Medicine Research (Harbin Medical University), Ministry of Education, Harbin, China
- Translational Medicine Center of Northern China, Harbin Medical University, Harbin, China
- Medical Science Institute of Heilongjiang Province, Harbin, China
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Xuekai L, Yan S, Jian C, Yifei S, Xinyue W, Wenyuan Z, Shuwen H, Xi Y. Advances in reprogramming of energy metabolism in tumor T cells. Front Immunol 2024; 15:1347181. [PMID: 38415258 PMCID: PMC10897011 DOI: 10.3389/fimmu.2024.1347181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/29/2024] [Indexed: 02/29/2024] Open
Abstract
Cancer is a leading cause of human death worldwide, and the modulation of the metabolic properties of T cells employed in cancer immunotherapy holds great promise for combating cancer. As a crucial factor, energy metabolism influences the activation, proliferation, and function of T cells, and thus metabolic reprogramming of T cells is a unique research perspective in cancer immunology. Special conditions within the tumor microenvironment and high-energy demands lead to alterations in the energy metabolism of T cells. In-depth research on the reprogramming of energy metabolism in T cells can reveal the mechanisms underlying tumor immune tolerance and provide important clues for the development of new tumor immunotherapy strategies as well. Therefore, the study of T cell energy metabolism has important clinical significance and potential applications. In the study, the current achievements in the reprogramming of T cell energy metabolism were reviewed. Then, the influencing factors associated with T cell energy metabolism were introduced. In addition, T cell energy metabolism in cancer immunotherapy was summarized, which highlighted its potential significance in enhancing T cell function and therapeutic outcomes. In summary, energy exhaustion of T cells leads to functional exhaustion, thus resulting in immune evasion by cancer cells. A better understanding of reprogramming of T cell energy metabolism may enable immunotherapy to combat cancer and holds promise for optimizing and enhancing existing therapeutic approaches.
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Affiliation(s)
- Liu Xuekai
- Department of Clinical Laboratory, Aerospace Center Hospital, Beijing, China
| | - Song Yan
- Department of Clinical Laboratory, Aerospace Center Hospital, Beijing, China
| | - Chu Jian
- Department of Medical Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China
- Department of Gastroenterology, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou, China
- Department of Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou, China
| | - Song Yifei
- Department of Medical Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China
- Department of Gastroenterology, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou, China
- Department of Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou, China
| | - Wu Xinyue
- Department of Medical Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China
- Department of Gastroenterology, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou, China
- Department of Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou, China
| | - Zhang Wenyuan
- Department of Gynecology, Heyuan Hospital of Traditional Chinese Medicine, Heyuan, China
| | - Han Shuwen
- Department of Medical Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China
- Department of Gastroenterology, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou, China
- Department of Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou, China
| | - Yang Xi
- Department of Medical Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China
- Department of Gastroenterology, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou, China
- Department of Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou, China
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Wu Y, Pu X, Wang X, Xu M. Reprogramming of lipid metabolism in the tumor microenvironment: a strategy for tumor immunotherapy. Lipids Health Dis 2024; 23:35. [PMID: 38302980 PMCID: PMC10832245 DOI: 10.1186/s12944-024-02024-0] [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: 10/22/2023] [Accepted: 01/18/2024] [Indexed: 02/03/2024] Open
Abstract
Lipid metabolism in cancer cells has garnered increasing attention in recent decades. Cancer cells thrive in hypoxic conditions, nutrient deficiency, and oxidative stress and cannot be separated from alterations in lipid metabolism. Therefore, cancer cells exhibit increased lipid metabolism, lipid uptake, lipogenesis and storage to adapt to a progressively challenging environment, which contribute to their rapid growth. Lipids aid cancer cell activation. Cancer cells absorb lipids with the help of transporter and translocase proteins to obtain energy. Abnormal levels of a series of lipid synthases contribute to the over-accumulation of lipids in the tumor microenvironment (TME). Lipid reprogramming plays an essential role in the TME. Lipids are closely linked to several immune cells and their phenotypic transformation. The reprogramming of tumor lipid metabolism further promotes immunosuppression, which leads to immune escape. This event significantly affects the progression, treatment, recurrence, and metastasis of cancer. Therefore, the present review describes alterations in the lipid metabolism of immune cells in the TME and examines the connection between lipid metabolism and immunotherapy.
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Affiliation(s)
- Yuting Wu
- Department of Gastroenterology, Jiangsu University Cancer Institute, Affiliated Hospital of Jiangsu University, 438 Jiefang Road, Jingkou, Zhenjiang, Jiangsu, 212001, P. R. China
- Digestive Disease Research Institute of Jiangsu University, Zhenjiang, 212001, Jiangsu, China
| | - Xi Pu
- Department of Gastroenterology, Jiangsu University Cancer Institute, Affiliated Hospital of Jiangsu University, 438 Jiefang Road, Jingkou, Zhenjiang, Jiangsu, 212001, P. R. China
- Digestive Disease Research Institute of Jiangsu University, Zhenjiang, 212001, Jiangsu, China
| | - Xu Wang
- Department of Radiation Oncology, Institute of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, Jiangsu, China.
- Department of Radiation Oncology, Jiangsu University Cancer Institute, Affiliated Hospital of Jiangsu University, 438 Jiefang Road, Jingkou, Zhenjiang, Jiangsu, 212001, P. R. China.
| | - Min Xu
- Department of Gastroenterology, Jiangsu University Cancer Institute, Affiliated Hospital of Jiangsu University, 438 Jiefang Road, Jingkou, Zhenjiang, Jiangsu, 212001, P. R. China.
- Digestive Disease Research Institute of Jiangsu University, Zhenjiang, 212001, Jiangsu, China.
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30
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Wu H, Wu X, Zhao M, Yan J, Li C, Zhang Z, Tang S, Wang R, Fei W. Regulating Cholesterol in Tumorigenesis: A Novel Paradigm for Tumor Nanotherapeutics. Int J Nanomedicine 2024; 19:1055-1076. [PMID: 38322754 PMCID: PMC10844012 DOI: 10.2147/ijn.s439828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 01/23/2024] [Indexed: 02/08/2024] Open
Abstract
During the past decade, "membrane lipid therapy", which involves the regulation of the structure and function of tumor cell plasma membranes, has emerged as a new strategy for cancer treatment. Cholesterol is an important component of the tumor plasma membrane and serves an essential role in tumor initiation and progression. This review elucidates the role of cholesterol in tumorigenesis (including tumor cell proliferation, invasion/metastasis, drug resistance, and immunosuppressive microenvironment) and elaborates on the potential therapeutic targets for tumor treatment by regulating cholesterol. More meaningfully, this review provides an overview of cholesterol-integrated membrane lipid nanotherapeutics for cancer therapy through cholesterol regulation. These strategies include cholesterol biosynthesis interference, cholesterol uptake disruption, cholesterol metabolism regulation, cholesterol depletion, and cholesterol-based combination treatments. In summary, this review demonstrates the tumor nanotherapeutics based on cholesterol regulation, which will provide a reference for the further development of "membrane lipid therapy" for tumors.
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Affiliation(s)
- Huifeng Wu
- Department of Urology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Xiaodong Wu
- Department of Gynecologic Oncology, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, People’s Republic of China
| | - Mengdan Zhao
- Department of Pharmacy, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, People’s Republic of China
| | - Jingjing Yan
- Department of Pharmacy, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, People’s Republic of China
| | - Chaoqun Li
- Department of Pharmacy, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, People’s Republic of China
| | - Zhewei Zhang
- Department of Urology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, People’s Republic of China
| | - Sangsang Tang
- Department of Gynecologic Oncology, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, People’s Republic of China
| | - Rong Wang
- Department of Pharmacy, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, People’s Republic of China
| | - Weidong Fei
- Department of Pharmacy, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, People’s Republic of China
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Ziegler DV, Czarnecka-Herok J, Vernier M, Scholtes C, Camprubi C, Huna A, Massemin A, Griveau A, Machon C, Guitton J, Rieusset J, Vigneron AM, Giguère V, Martin N, Bernard D. Cholesterol biosynthetic pathway induces cellular senescence through ERRα. NPJ AGING 2024; 10:5. [PMID: 38216569 PMCID: PMC10786911 DOI: 10.1038/s41514-023-00128-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 10/30/2023] [Indexed: 01/14/2024]
Abstract
Cellular senescence is a cell program induced by various stresses that leads to a stable proliferation arrest and to a senescence-associated secretory phenotype. Accumulation of senescent cells during age-related diseases participates in these pathologies and regulates healthy lifespan. Recent evidences point out a global dysregulated intracellular metabolism associated to senescence phenotype. Nonetheless, the functional contribution of metabolic homeostasis in regulating senescence is barely understood. In this work, we describe how the mevalonate pathway, an anabolic pathway leading to the endogenous biosynthesis of poly-isoprenoids, such as cholesterol, acts as a positive regulator of cellular senescence in normal human cells. Mechanistically, this mevalonate pathway-induced senescence is partly mediated by the downstream cholesterol biosynthetic pathway. This pathway promotes the transcriptional activity of ERRα that could lead to dysfunctional mitochondria, ROS production, DNA damage and a p53-dependent senescence. Supporting the relevance of these observations, increase of senescence in liver due to a high-fat diet regimen is abrogated in ERRα knockout mouse. Overall, this work unravels the role of cholesterol biosynthesis or level in the induction of an ERRα-dependent mitochondrial program leading to cellular senescence and related pathological alterations.
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Affiliation(s)
- Dorian V Ziegler
- Centre de Recherche en Cancérologie de Lyon, Inserm U1052, CNRS UMR 5286, Centre Léon Bérard, Université de Lyon, Lyon, France
| | - Joanna Czarnecka-Herok
- Centre de Recherche en Cancérologie de Lyon, Inserm U1052, CNRS UMR 5286, Centre Léon Bérard, Université de Lyon, Lyon, France
- Equipe Labellisée la Ligue Contre le Cancer, Lyon, France
| | - Mathieu Vernier
- Centre de Recherche en Cancérologie de Lyon, Inserm U1052, CNRS UMR 5286, Centre Léon Bérard, Université de Lyon, Lyon, France
- Equipe Labellisée la Ligue Contre le Cancer, Lyon, France
- Goodman Cancer Research Centre, McGill University, Quebec, Montreal, Canada
| | - Charlotte Scholtes
- Goodman Cancer Research Centre, McGill University, Quebec, Montreal, Canada
| | - Clara Camprubi
- Centre de Recherche en Cancérologie de Lyon, Inserm U1052, CNRS UMR 5286, Centre Léon Bérard, Université de Lyon, Lyon, France
| | - Anda Huna
- Centre de Recherche en Cancérologie de Lyon, Inserm U1052, CNRS UMR 5286, Centre Léon Bérard, Université de Lyon, Lyon, France
- Equipe Labellisée la Ligue Contre le Cancer, Lyon, France
| | - Amélie Massemin
- Centre de Recherche en Cancérologie de Lyon, Inserm U1052, CNRS UMR 5286, Centre Léon Bérard, Université de Lyon, Lyon, France
- Equipe Labellisée la Ligue Contre le Cancer, Lyon, France
| | - Audrey Griveau
- Centre de Recherche en Cancérologie de Lyon, Inserm U1052, CNRS UMR 5286, Centre Léon Bérard, Université de Lyon, Lyon, France
| | - Christelle Machon
- Biochemistry and Pharmacology-Toxicology Laboratory, Lyon-Sud Hospital, Hospices Civils de Lyon, F-69495, Pierre Bénite, France
| | - Jérôme Guitton
- Biochemistry and Pharmacology-Toxicology Laboratory, Lyon-Sud Hospital, Hospices Civils de Lyon, F-69495, Pierre Bénite, France
| | | | - Arnaud M Vigneron
- Centre de Recherche en Cancérologie de Lyon, Inserm U1052, CNRS UMR 5286, Centre Léon Bérard, Université de Lyon, Lyon, France
| | - Vincent Giguère
- Goodman Cancer Research Centre, McGill University, Quebec, Montreal, Canada
- Departments of Biochemistry, Medicine and Oncology, McGill University, Montreal, Quebec, Montreal, Canada
| | - Nadine Martin
- Centre de Recherche en Cancérologie de Lyon, Inserm U1052, CNRS UMR 5286, Centre Léon Bérard, Université de Lyon, Lyon, France.
- Equipe Labellisée la Ligue Contre le Cancer, Lyon, France.
| | - David Bernard
- Centre de Recherche en Cancérologie de Lyon, Inserm U1052, CNRS UMR 5286, Centre Léon Bérard, Université de Lyon, Lyon, France.
- Equipe Labellisée la Ligue Contre le Cancer, Lyon, France.
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32
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Long Y, Shi H, He Y, Qi X. Analyzing the impact of metabolism on immune cells in tumor microenvironment to promote the development of immunotherapy. Front Immunol 2024; 14:1307228. [PMID: 38264667 PMCID: PMC10804850 DOI: 10.3389/fimmu.2023.1307228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 12/18/2023] [Indexed: 01/25/2024] Open
Abstract
Tumor metabolism and tumor immunity are inextricably linked. Targeting the metabolism of tumors is a point worth studying in tumor immunotherapy. Recently, the influence of the metabolism of tumors and immune cells on the occurrence, proliferation, metastasis, and prognosis of tumors has attracted more attention. Tumor tissue forms a specific tumor microenvironment (TME). In addition to tumor cells, there are also immune cells, stromal cells, and other cells in TME. To adapt to the environment, tumor cells go through the metabolism reprogramming of various substances. The metabolism reprogramming of tumor cells may further affect the formation of the tumor microenvironment and the function of a variety of cells, especially immune cells, eventually promoting tumor development. Therefore, it is necessary to study the metabolism of tumor cells and its effects on immune cells to guide tumor immunotherapy. Inhibiting tumor metabolism may restore immune balance and promote the immune response in tumors. This article will describe glucose metabolism, lipid metabolism, amino acid metabolism, and immune cells in tumors. Besides, the impact of metabolism on the immune cells in TME is also discussed for analyzing and exploring tumor immunotherapy.
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Affiliation(s)
| | | | | | - Xiaorong Qi
- Department of Gynecology and Obstetrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, China
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de Oliveira Alves N, Dalmasso G, Nikitina D, Vaysse A, Ruez R, Ledoux L, Pedron T, Bergsten E, Boulard O, Autier L, Allam S, Motreff L, Sauvanet P, Letourneur D, Kashyap P, Gagnière J, Pezet D, Godfraind C, Salzet M, Lemichez E, Bonnet M, Najjar I, Malabat C, Monot M, Mestivier D, Barnich N, Yadav P, Fournier I, Kennedy S, Mettouchi A, Bonnet R, Sobhani I, Chamaillard M. The colibactin-producing Escherichia coli alters the tumor microenvironment to immunosuppressive lipid overload facilitating colorectal cancer progression and chemoresistance. Gut Microbes 2024; 16:2320291. [PMID: 38417029 PMCID: PMC10903627 DOI: 10.1080/19490976.2024.2320291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 02/14/2024] [Indexed: 03/01/2024] Open
Abstract
Intratumoral bacteria flexibly contribute to cellular and molecular tumor heterogeneity for supporting cancer recurrence through poorly understood mechanisms. Using spatial metabolomic profiling technologies and 16SrRNA sequencing, we herein report that right-sided colorectal tumors are predominantly populated with Colibactin-producing Escherichia coli (CoPEC) that are locally establishing a high-glycerophospholipid microenvironment with lowered immunogenicity. It coincided with a reduced infiltration of CD8+ T lymphocytes that produce the cytotoxic cytokines IFN-γ where invading bacteria have been geolocated. Mechanistically, the accumulation of lipid droplets in infected cancer cells relied on the production of colibactin as a measure to limit genotoxic stress to some extent. Such heightened phosphatidylcholine remodeling by the enzyme of the Land's cycle supplied CoPEC-infected cancer cells with sufficient energy for sustaining cell survival in response to chemotherapies. This accords with the lowered overall survival of colorectal patients at stage III-IV who were colonized by CoPEC when compared to patients at stage I-II. Accordingly, the sensitivity of CoPEC-infected cancer cells to chemotherapies was restored upon treatment with an acyl-CoA synthetase inhibitor. By contrast, such metabolic dysregulation leading to chemoresistance was not observed in human colon cancer cells that were infected with the mutant strain that did not produce colibactin (11G5∆ClbQ). This work revealed that CoPEC locally supports an energy trade-off lipid overload within tumors for lowering tumor immunogenicity. This may pave the way for improving chemoresistance and subsequently outcome of CRC patients who are colonized by CoPEC.
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Affiliation(s)
| | - Guillaume Dalmasso
- Microbes, Intestin, Inflammation et Susceptibilité de l’Hôte (M2iSH), Centre de Recherche en Nutrition Humaine Auvergne, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Darja Nikitina
- CNRS, Institute Pasteur, Paris, France
- Laboratory of Clinical and Molecular Gastroenterology, Institute for Digestive Research, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Amaury Vaysse
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Plate-Forme Technologique Biomics, Paris, France
| | - Richard Ruez
- ONCOLille, INSERM, Phycell, University of Lille, Lille, France
| | - Lea Ledoux
- Réponse Inflammatoire et Spectrométrie de Masse-PRISM, University of Lille, Lille, France
| | | | - Emma Bergsten
- Institut Pasteur, Université Paris Cité, Paris, France
| | - Olivier Boulard
- ONCOLille, INSERM, Phycell, University of Lille, Lille, France
| | - Lora Autier
- ONCOLille, INSERM, Phycell, University of Lille, Lille, France
| | - Sofian Allam
- ONCOLille, INSERM, Phycell, University of Lille, Lille, France
| | - Laurence Motreff
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Plate-Forme Technologique Biomics, Paris, France
| | - Pierre Sauvanet
- Microbes, Intestin, Inflammation et Susceptibilité de l’Hôte (M2iSH), Centre de Recherche en Nutrition Humaine Auvergne, Université Clermont Auvergne, Clermont-Ferrand, France
| | | | - Pragya Kashyap
- Department of Bioscience & Bioengineering, Indian Institute of Technology, Jodhpur, Rajasthan, India
| | - Johan Gagnière
- Microbes, Intestin, Inflammation et Susceptibilité de l’Hôte (M2iSH), Centre de Recherche en Nutrition Humaine Auvergne, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Denis Pezet
- Microbes, Intestin, Inflammation et Susceptibilité de l’Hôte (M2iSH), Centre de Recherche en Nutrition Humaine Auvergne, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Catherine Godfraind
- Microbes, Intestin, Inflammation et Susceptibilité de l’Hôte (M2iSH), Centre de Recherche en Nutrition Humaine Auvergne, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Michel Salzet
- Réponse Inflammatoire et Spectrométrie de Masse-PRISM, University of Lille, Lille, France
| | | | - Mathilde Bonnet
- Microbes, Intestin, Inflammation et Susceptibilité de l’Hôte (M2iSH), Centre de Recherche en Nutrition Humaine Auvergne, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Imène Najjar
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Plate-Forme Technologique Biomics, Paris, France
| | - Christophe Malabat
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Plate-Forme Technologique Biomics, Paris, France
| | - Marc Monot
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Plate-Forme Technologique Biomics, Paris, France
| | | | - Nicolas Barnich
- Microbes, Intestin, Inflammation et Susceptibilité de l’Hôte (M2iSH), Centre de Recherche en Nutrition Humaine Auvergne, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Pankaj Yadav
- Department of Bioscience & Bioengineering, Indian Institute of Technology, Jodhpur, Rajasthan, India
| | - Isabelle Fournier
- Réponse Inflammatoire et Spectrométrie de Masse-PRISM, University of Lille, Lille, France
| | | | | | - Richard Bonnet
- Microbes, Intestin, Inflammation et Susceptibilité de l’Hôte (M2iSH), Centre de Recherche en Nutrition Humaine Auvergne, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Iradj Sobhani
- Université Paris Est Créteil, Créteil, France
- Service de Gastroentérologie CHU Henri Mondor, Assistance Publique des Hôpitaux de Paris-APHP, Créteil, France
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Peng Q, Tao J, Xu Y, Shen Y, Wang Y, Jiao Y, Mao Y, Zhu Y, Liu Y, Tian Y. Lipid metabolism-associated genes serve as potential predictive biomarkers in neoadjuvant chemoradiotherapy combined with immunotherapy in rectal cancer. Transl Oncol 2024; 39:101828. [PMID: 38000147 DOI: 10.1016/j.tranon.2023.101828] [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: 07/29/2023] [Revised: 10/26/2023] [Accepted: 11/09/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND The aim of this study was to investigate the potential role of lipid metabolism-associated genes (LMAGs) in neoadjuvant chemoradiotherapy (nCRT) and immunotherapy for rectal cancer. METHODS Differential LMAGs were characterized and functional enrichment analysis was performed. Multiple machine learning algorithms were combined to explore candidate LMAGs. ROC analysis was performed to evaluate the predicting accuracy of candidate LMAGs. The expression patterns, prognostic value, genetic alterations, and immune cell infiltration of the top-ranked LMAGs were investigated. RESULTS We identified 45 LMAGs that were differentially expressed in tumor samples of nCRT responders and non-responders. These LMAGs were closely associated with lipid metabolism-related biological processes and pathways. ROC analysis revealed that the SREBF2 gene, an important transcription factor in regulating lipid metabolism, was the highest predictor of nCRT in rectal cancer. SREBF2 was highly expressed in rectal cancer tissues and high expression of SREBF2 was associated with favorable prognosis. Multivariate analysis showed that SREBF2 was an independent prognostic factor, and we integrated it with other clinical factors to establish an effective prognostic nomogram. SREBF2 also played a synergistic role with its co-expressed genes in the prognostic process of rectal cancer. Furthermore, SREBF2 was demonstrated to be closely associated with multiple immune infiltrating cells, and immunotherapy-related genes and may be used to predict the response to immunotherapy. CONCLUSION Our study suggests that LMAGs may serve as promising biomarkers in nCRT combined with immunotherapy for rectal cancer. However, large-scale clinical trials and biological experiments are necessary to demonstrate the efficacy and underlying mechanisms.
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Affiliation(s)
- Qiliang Peng
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China; Institute of Radiotherapy & Oncology, Soochow University, Suzhou, China; State Key Laboratory of Radiation Medicine and Protection, Soochow University, Suzhou, China
| | - Jialong Tao
- Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yingjie Xu
- Department of Cardiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yi Shen
- Department of Radiation Oncology, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China
| | - Yong Wang
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China; Institute of Radiotherapy & Oncology, Soochow University, Suzhou, China
| | - Yang Jiao
- Re-Stem Biotechnology Co., Ltd, Suzhou, China
| | - Yiheng Mao
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China; Institute of Radiotherapy & Oncology, Soochow University, Suzhou, China
| | - Yaqun Zhu
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China; Institute of Radiotherapy & Oncology, Soochow University, Suzhou, China.
| | - Yulong Liu
- Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China; State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Medical College of Soochow University, Suzhou, China.
| | - Ye Tian
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China; Institute of Radiotherapy & Oncology, Soochow University, Suzhou, China.
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Liu J, Liu J, Qin G, Li J, Fu Z, Li J, Li M, Guo C, Zhao M, Zhang Z, Li F, Zhao X, Wang L, Zhang Y. MDSCs-derived GPR84 induces CD8 + T-cell senescence via p53 activation to suppress the antitumor response. J Immunother Cancer 2023; 11:e007802. [PMID: 38016719 PMCID: PMC10685939 DOI: 10.1136/jitc-2023-007802] [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] [Accepted: 10/17/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUNDS G-protein-coupled receptor 84 (GPR84) marks a subset of myeloid-derived suppressor cells (MDSCs) with stronger immunosuppression in the tumor microenvironment. Yet, how GPR84 endowed the stronger inhibition of MDSCs to CD8+ T cells function is not well established. In this study, we aimed to identify the underlying mechanism behind the immunosuppression of CD8+ T cells by GPR84+ MDSCs. METHODS The role and underlying mechanism that MDSCs or exosomes (Exo) regulates the function of CD8+ T cells were investigated using immunofluorescence, fluorescence activating cell sorter (FACS), quantitative real-time PCR, western blot, ELISA, Confocal, RNA-sequencing (RNA-seq), etc. In vivo efficacy and mechanistic studies were conducted with wild type, GPR84 and p53 knockout C57/BL6 mice. RESULTS Here, we showed that the transfer of GPR84 from MDSCs to CD8+ T cells via the Exo attenuated the antitumor response. This inhibitory effect was also observed in GPR84-overexpressed CD8+ T cells, whereas depleting GPR84 elevated CD8+ T cells proliferation and function in vitro and in vivo. RNA-seq analysis of CD8+ T cells demonstrated the activation of the p53 signaling pathway in CD8+ T cells treated with GPR84+ MDSCs culture medium. While knockout p53 did not induce senescence in CD8+ T cells treated with GPR84+ MDSCs. The per cent of GPR84+ CD8+ T cells work as a negative indicator for patients' prognosis and response to chemotherapy. CONCLUSIONS These data demonstrated that the transfer of GPR84 from MDSCs to CD8+ T cells induces T-cell senescence via the p53 signaling pathway, which could explain the strong immunosuppression of GPR84 endowed to MDSCs.
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Affiliation(s)
- Jinyan Liu
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jiayin Liu
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Guohui Qin
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jiahui Li
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Ziyi Fu
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Jieyao Li
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Miaomiao Li
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Caijuan Guo
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Ming Zhao
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zhen Zhang
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Feng Li
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xuan Zhao
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Liping Wang
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yi Zhang
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- State Key Laboratory of Esophageal Cancer Prevention & and Treatment, Zhengzhou, Henan, China
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Sun Y, Liu L, Fu Y, Liu Y, Gao X, Xia X, Zhu D, Wang X, Zhou X. Metabolic reprogramming involves in transition of activated/resting CD4 + memory T cells and prognosis of gastric cancer. Front Immunol 2023; 14:1275461. [PMID: 38090588 PMCID: PMC10711070 DOI: 10.3389/fimmu.2023.1275461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 11/09/2023] [Indexed: 12/18/2023] Open
Abstract
Background Little is known on how metabolic reprogramming potentially prompts transition of activated and resting CD4+ memory T cells infiltration in tumor microenvironment of gastric cancer (GC). The study aimed to evaluate their interactions and develop a risk model for predicting prognosis in GC. Methods Expression profiles were obtained from TCGA and GEO databases. An immunotherapeutic IMvigor210 cohort was also enrolled. CIBERSORT algorithm was used to evaluate the infiltration of immune cells. The ssGSEA method was performed to assess levels of 114 metabolism pathways. Prognosis and correlation analysis were conducted to identify metabolism pathways and genes correlated with activated CD4+ memory T cells ratio (AR) and prognosis. An AR-related metabolism gene (ARMG) risk model was constructed and validated in different cohorts. Flow cytometry was applied to validate the effect of all-trans retinoic acid (ATRA) on CD4+ memory T cells. Results Since significantly inverse prognostic value and negative correlation of resting and activated CD4+ memory T cells, high AR level was associated with favorable overall survival (OS) in GC. Meanwhile, 15 metabolism pathways including retinoic acid metabolism pathway were significantly correlated with AR and prognosis. The ARMG risk model could classify GC patients with different outcomes, treatment responses, genomic and immune landscape. The prognostic value of the model was also confirmed in the additional validation, immunotherapy and pan-cancer cohorts. Functional analyses revealed that the ARMG model was positively correlated with pro-tumorigenic pathways. In vitro experiments showed that ATRA could inhibit levels of activated CD4+ memory T cells and AR. Conclusion Our study showed that metabolic reprogramming including retinoic acid metabolism could contribute to transition of activated and resting CD4+ memory T cells, and affect prognosis of GC patients. The ARMG risk model could serve as a new tool for GC patients by accurately predicting prognosis and response to treatment.
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Affiliation(s)
- Yue Sun
- Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Li Liu
- Department of Gynecology, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
| | - Yuanyuan Fu
- Department of Pharmacy, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yaoyao Liu
- Department of Translational Medicine, Beijing GenePlus Genomics Institute, Beijing, China
| | - Xuan Gao
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- Department of Translational Medicine, Shenzhen GenePlus Clinical Laboratory, Shenzhen, China
| | - Xuefeng Xia
- Department of Translational Medicine, Beijing GenePlus Genomics Institute, Beijing, China
| | - Dajian Zhu
- Department of Gastroenterological Surgery, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Xiaping Wang
- Department of Pathology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xin Zhou
- Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Oncology Center, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, China
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Noll JH, Levine BL, June CH, Fraietta JA. Beyond youth: Understanding CAR T cell fitness in the context of immunological aging. Semin Immunol 2023; 70:101840. [PMID: 37729825 DOI: 10.1016/j.smim.2023.101840] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 09/05/2023] [Accepted: 09/05/2023] [Indexed: 09/22/2023]
Abstract
Population aging, a pervasive global demographic trend, is anticipated to challenge health and social systems worldwide. This phenomenon is due to medical advancements enabling longer lifespans, with 20% of the US population soon to be over 65 years old. Consequently, there will be a surge in age-related diseases. Senescence, characterized by the loss of biological maintenance and homeostasis at molecular and cellular levels, either correlates with or directly causes age-related phenotypic changes. Decline of the immune system is a critical factor in the senescence process, with cancer being a primary cause of death in elderly populations. Chimeric antigen receptor (CAR) T cell therapy, an innovative approach, has demonstrated success mainly in pediatric and young adult hematological malignancies but remains largely ineffective for diseases affecting older populations, such as late-in-life B cell malignancies and most solid tumor indications. This limitation arises because CAR T cell efficacy heavily relies on the fitness of the patient-derived starting T cell material. Numerous studies suggest that T cell senescence may be a key driver of CAR T cell deficiency. This review examines correlates and underlying factors associated with favorable CAR T cell outcomes and explores potential experimental and clinically actionable strategies for T cell rejuvenation.
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Affiliation(s)
- Julia Han Noll
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Bruce L Levine
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Carl H June
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Joseph A Fraietta
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Gudgeon N, Giles H, Bishop EL, Fulton-Ward T, Escribano-Gonzalez C, Munford H, James-Bott A, Foster K, Karim F, Jayawardana D, Mahmood A, Cribbs AP, Tennant DA, Basu S, Pratt G, Dimeloe S. Uptake of long-chain fatty acids from the bone marrow suppresses CD8+ T-cell metabolism and function in multiple myeloma. Blood Adv 2023; 7:6035-6047. [PMID: 37276076 PMCID: PMC10582277 DOI: 10.1182/bloodadvances.2023009890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 04/25/2023] [Accepted: 05/19/2023] [Indexed: 06/07/2023] Open
Abstract
T cells demonstrate impaired function in multiple myeloma (MM) but suppressive mechanisms in the bone marrow microenvironment remain poorly defined. We observe that bone marrow CD8+ T-cell function is decreased in MM compared with controls, and is also consistently lower within bone marrow samples than in matched peripheral blood samples. These changes are accompanied by decreased mitochondrial mass and markedly elevated long-chain fatty acid uptake. In vitro modeling confirmed that uptake of bone marrow lipids suppresses CD8+ T function, which is impaired in autologous bone marrow plasma but rescued by lipid removal. Analysis of single-cell RNA-sequencing data identified expression of fatty acid transport protein 1 (FATP1) in bone marrow CD8+ T cells in MM, and FATP1 blockade also rescued CD8+ T-cell function, thereby identifying this as a novel target to augment T-cell activity in MM. Finally, analysis of samples from cohorts of patients who had received treatment identified that CD8+ T-cell metabolic dysfunction resolves in patients with MM who are responsive to treatment but not in patients with relapsed MM, and is associated with substantial T-cell functional restoration.
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Affiliation(s)
- Nancy Gudgeon
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Hannah Giles
- Centre for Clinical Haematology, University Hospitals Birmingham NHS Trust, Birmingham, United Kingdom
| | - Emma L. Bishop
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Taylor Fulton-Ward
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Cristina Escribano-Gonzalez
- Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Haydn Munford
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Anna James-Bott
- Nuffield Department of Orthopaedics, Botnar Research Centre, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit, University of Oxford, Oxford, United Kingdom
| | - Kane Foster
- Research Department of Haematology, UCL Cancer Institute, University College London, London, United Kingdom
| | - Farheen Karim
- Clinical Haematology Unit, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, United Kingdom
| | - Dedunu Jayawardana
- Clinical Haematology Unit, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, United Kingdom
| | - Ansar Mahmood
- Centre for Clinical Haematology, University Hospitals Birmingham NHS Trust, Birmingham, United Kingdom
| | - Adam P. Cribbs
- Nuffield Department of Orthopaedics, Botnar Research Centre, Rheumatology and Musculoskeletal Sciences, National Institute of Health Research Oxford Biomedical Research Unit, University of Oxford, Oxford, United Kingdom
| | - Daniel A. Tennant
- Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Supratik Basu
- Clinical Haematology Unit, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, United Kingdom
| | - Guy Pratt
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
- Centre for Clinical Haematology, University Hospitals Birmingham NHS Trust, Birmingham, United Kingdom
| | - Sarah Dimeloe
- Institute of Immunology and Immunotherapy, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
- Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
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Yang Y, Huangfu L, Li H, Yang D. Research progress of hyperthermia in tumor therapy by influencing metabolic reprogramming of tumor cells. Int J Hyperthermia 2023; 40:2270654. [PMID: 37871910 DOI: 10.1080/02656736.2023.2270654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 10/09/2023] [Indexed: 10/25/2023] Open
Abstract
Cellular metabolic reprogramming is an important feature of malignant tumors. Metabolic reprogramming causes changes in the levels or types of specific metabolites inside and outside the cell, which affects tumorigenesis and progression by influencing gene expression, the cellular state, and the tumor microenvironment. During tumorigenesis, a series of changes in the glucose metabolism, fatty acid metabolism, amino acid metabolism, and cholesterol metabolism of tumor cells occur, which are involved in the process of cellular carcinogenesis and constitute part of the underlying mechanisms of tumor formation. Hyperthermia, as one of the main therapeutic tools for malignant tumors, has obvious effects on tumor cell metabolism. In this paper, we will combine the latest research progress in the field of cellular metabolic reprogramming and focus on the current experimental research and clinical treatment of hyperthermia in cellular metabolic reprogramming to discuss the feasibility of cellular metabolic reprogramming-related mechanisms guiding hyperthermia in malignant tumor treatment, so as to provide more ideas for hyperthermia to treat malignant tumors through the direction of cellular metabolic reprogramming.
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Affiliation(s)
- Yuchuan Yang
- Department of Radiotherapy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, P.R. China
| | - Linkuan Huangfu
- Department of Radiotherapy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, P.R. China
| | - Huizhen Li
- Department of Radiotherapy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, P.R. China
| | - Daoke Yang
- Department of Radiotherapy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, P.R. China
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Chen P, Han Y, Wang L, Zheng Y, Zhu Z, Zhao Y, Zhang M, Chen X, Wang X, Sun C. Spatially Resolved Metabolomics Combined with the 3D Tumor-Immune Cell Coculture Spheroid Highlights Metabolic Alterations during Antitumor Immune Response. Anal Chem 2023; 95:15153-15161. [PMID: 37800909 DOI: 10.1021/acs.analchem.2c05734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
The metabolic cross-talk between tumor and immune cells plays key roles in immune cell function and immune checkpoint blockade therapy. However, the characterization of tumor immunometabolism and its spatiotemporal alterations during immune response in a complex tumor microenvironment is challenging. Here, a 3D tumor-immune cell coculture spheroid model was developed to mimic tumor-immune interactions, combined with mass spectrometry imaging-based spatially resolved metabolomics to visualize tumor immunometabolic alterations during immune response. The inhibition of T cells was simulated by coculturing breast tumor spheroids with Jurkat T cells, and the reactivation of T cells can be monitored through diminishing cancer PD-L1 expressions by berberine. This system enables simultaneously screening and imaging discriminatory metabolites that are altered during T cell-mediated antitumor immune response and characterizing the distributions of berberine and its metabolites in tumor spheroids. We discovered that the transport and catabolism of glutamine were significantly reprogrammed during the antitumor immune response at both metabolite and enzyme levels, corresponding to its indispensable roles in energy metabolism and building new biomass. The combination of spatially resolved metabolomics with the 3D tumor-immune cell coculture spheroid visually reveals metabolic interactions between tumor and immune cells and possibly helps decipher the role of immunometabolic alterations in tumor immunotherapy.
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Affiliation(s)
- Panpan Chen
- Key Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
| | - Yuhao Han
- Key Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
| | - Lei Wang
- Key Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
| | - Yurong Zheng
- School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Zihan Zhu
- School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Yuan Zhao
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
| | - Mingqi Zhang
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
| | - Xiangfeng Chen
- Key Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
| | - Xiao Wang
- Key Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
| | - Chenglong Sun
- Key Laboratory for Natural Active Pharmaceutical Constituents Research in Universities of Shandong Province, School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China
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Zhong F, Yang Y, Yao F, Liu J, Yu X, Wang XL, Huang B, Wang XZ. Identification of cellular senescence-related signature for predicting prognosis and therapeutic response of acute myeloid leukemia. Aging (Albany NY) 2023; 15:11217-11226. [PMID: 37845004 PMCID: PMC10637797 DOI: 10.18632/aging.205123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 09/27/2023] [Indexed: 10/18/2023]
Abstract
Cellular senescence is closely related to the occurrence, development, and immune regulation of cancer. However, the predictive value of cellular senescence-related signature in clinical outcome and treatment response in acute myeloid leukemia (AML) remains unexplored. By analyzing the expression profile of cellular senescence-related genes (CSRGs) in AML samples in the TCGA database, we found that cellular senescence is closely related to the prognosis and tumor microenvironment of AML patients, and compared with normal samples, the overall expression level of senescent inducing genes in AML samples was down-regulated, while inhibitory genes were up-regulated. The risk score model further constructed and verified based on CSRGs could be used as an independent prognostic predictor for AML patients, and the overall survival (OS) of high-risk patients was significantly shortened. The area under ROC curve (AUC) values for the prediction of 1-, 3- and 5-year OS were 0.759, 0.749, and 0.806, respectively. In addition, patients with high-risk scores are more sensitive to treatment with cytarabine and may benefit from anti-PD-1 immunotherapy. In conclusion, our results suggest that the cellular senescence-related signature is a strong biomarker of immunotherapy response and prognosis in AML.
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Affiliation(s)
- Fangmin Zhong
- Department of Clinical Laboratory, Jiangxi Province Key Laboratory of Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yulin Yang
- Department of Clinical Laboratory, Jiangxi Province Key Laboratory of Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- School of Public Health, Nanchang University, Nanchang, Jiangxi, China
| | - Fangyi Yao
- Department of Clinical Laboratory, Jiangxi Province Key Laboratory of Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Jing Liu
- Department of Clinical Laboratory, Jiangxi Province Key Laboratory of Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Xiajing Yu
- Department of Clinical Laboratory, Jiangxi Province Key Laboratory of Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Xin-Lu Wang
- Department of Clinical Laboratory, Jiangxi Province Key Laboratory of Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Bo Huang
- Department of Clinical Laboratory, Jiangxi Province Key Laboratory of Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Xiao-Zhong Wang
- Department of Clinical Laboratory, Jiangxi Province Key Laboratory of Laboratory Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
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Zhou X, Meng F, Xiao L, Shen H. CYP19A1 promotes gastric cancer as part of a lipid metabolism-related gene signature related to the response of immunotherapy and prognosis. BMC Med Genomics 2023; 16:228. [PMID: 37784135 PMCID: PMC10544546 DOI: 10.1186/s12920-023-01664-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 09/18/2023] [Indexed: 10/04/2023] Open
Abstract
BACKGROUND Increasing evidence suggests that the metabolism of lipids plays a crucial role in the progression of gastric cancer. However, the expression of lipid metabolism-related genes (LMGs) still does not serve as a prognostic biomarker in gastric cancer. METHODS We obtained transcriptome data for 751 LMGs and divided STAD patients into two subtypes based on differences in LMGs expression. Then, we analyzed genetic changes in two subtypes as well as immune features to determine their differences. We also constructed a prognostic risk model related to LMGs for individualized comprehensive evaluations. RESULTS In this study, two lipid metabolic (LM) subtypes were identified anchored in the expression profiles of LMGs. Clinical information, genomic alterations, immune features, and immunotherapy response varied significantly between the two LM subtypes. A risk model based on LMGs was also developed to assess prognosis and distinguish patients with high risk from those at low risk. The prognosis differed significantly between the two risk groups of patients. In STAD patients, the risk score was strongly correlated with genomic alterations and immune profile scores. Also, the risk score was an excellent predictor of immune checkpoint inhibitors (ICIs) response. Anchored in preliminary results derived from the aforementioned bioinformatic analysis, we chose CYP19A1 as our target gene and the expression of CYP19A1 was verified in several common gastric cancer cell lines. Then, we carried out the Western blotting, CCK-8 assay, colony formation assay, wound healing assay, and transwell assay to explore the effects of CYP19A1 on malignant biological behavior, and positive consequences were obtained. CONCLUSIONS In this study, STAD patients were divided into two subtypes based on LMGs expression. It is possible to assess the prognosis of a patient and the response to immunotherapy using the established prognostic risk model. A series of basic laboratory experiments also verified the functional role of CYP19A1 in gastric cancer.
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Affiliation(s)
- Xinyi Zhou
- Nanjing BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, NanjingJiangsu Province, 210019, China
| | - Fanyu Meng
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China
| | - Linmei Xiao
- Nanjing BenQ Medical Center, The Affiliated BenQ Hospital of Nanjing Medical University, NanjingJiangsu Province, 210019, China
| | - Hua Shen
- Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, Jiangsu, China.
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Sharma R, Diwan B. Lipids and the hallmarks of ageing: From pathology to interventions. Mech Ageing Dev 2023; 215:111858. [PMID: 37652278 DOI: 10.1016/j.mad.2023.111858] [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: 06/27/2023] [Revised: 08/21/2023] [Accepted: 08/28/2023] [Indexed: 09/02/2023]
Abstract
Lipids are critical structural and functional architects of cellular homeostasis. Change in systemic lipid profile is a clinical indicator of underlying metabolic pathologies, and emerging evidence is now defining novel roles of lipids in modulating organismal ageing. Characteristic alterations in lipid metabolism correlate with age, and impaired systemic lipid profile can also accelerate the development of ageing phenotype. The present work provides a comprehensive review of the extent of lipids as regulators of the modern hallmarks of ageing viz., cellular senescence, chronic inflammation, gut dysbiosis, telomere attrition, genome instability, proteostasis and autophagy, epigenetic alterations, and stem cells dysfunctions. Current evidence on the modulation of each of these hallmarks has been discussed with emphasis on inherent age-dependent deficiencies in lipid metabolism as well as exogenous lipid changes. There appears to be sufficient evidence to consider impaired lipid metabolism as key driver of the ageing process although much of knowledge is yet fragmented. Considering dietary lipids, the type and quantity of lipids in the diet is a significant, but often overlooked determinant that governs the effects of lipids on ageing. Further research using integrative approaches amidst the known aging hallmarks is highly desirable for understanding the therapeutics of lipids associated with ageing.
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Affiliation(s)
- Rohit Sharma
- Nutrigerontology Laboratory, Faculty of Applied Sciences & Biotechnology, Shoolini University, Solan 173229, India.
| | - Bhawna Diwan
- Nutrigerontology Laboratory, Faculty of Applied Sciences & Biotechnology, Shoolini University, Solan 173229, India
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Sun H, Zhang L, Wang Z, Gu D, Zhu M, Cai Y, Li L, Tang J, Huang B, Bosco B, Li N, Wu L, Wu W, Li L, Liang Y, Luo L, Liu Q, Zhu Y, Sun J, Shi L, Xia T, Yang C, Xu Q, Han X, Zhang W, Liu J, Meng D, Shao H, Zheng X, Li S, Pan H, Ke J, Jiang W, Zhang X, Han X, Chu J, An H, Ge J, Pan C, Wang X, Li K, Wang Q, Ding Q. Single-cell transcriptome analysis indicates fatty acid metabolism-mediated metastasis and immunosuppression in male breast cancer. Nat Commun 2023; 14:5590. [PMID: 37696831 PMCID: PMC10495415 DOI: 10.1038/s41467-023-41318-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 08/30/2023] [Indexed: 09/13/2023] Open
Abstract
Male breast cancer (MBC) is a rare but aggressive malignancy with cellular and immunological characteristics that remain unclear. Here, we perform transcriptomic analysis for 111,038 single cells from tumor tissues of six MBC and thirteen female breast cancer (FBC) patients. We find that that MBC has significantly lower infiltration of T cells relative to FBC. Metastasis-related programs are more active in cancer cells from MBC. The activated fatty acid metabolism involved with FASN is related to cancer cell metastasis and low immune infiltration of MBC. T cells in MBC show activation of p38 MAPK and lipid oxidation pathways, indicating a dysfunctional state. In contrast, T cells in FBC exhibit higher expression of cytotoxic markers and immune activation pathways mediated by immune-modulatory cytokines. Moreover, we identify the inhibitory interactions between cancer cells and T cells in MBC. Our study provides important information for understanding the tumor immunology and metabolism of MBC.
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Affiliation(s)
- Handong Sun
- Jiangsu Breast Disease Center, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China
| | - Lishen Zhang
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Zhonglin Wang
- Department of Breast Surgery, The Second People's Hospital of Lianyungang, 41 Hailian East Road, 222006, Lianyungang, China
| | - Danling Gu
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
| | - Mengyan Zhu
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Yun Cai
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Lu Li
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Jiaqi Tang
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Bin Huang
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Bakwatanisa Bosco
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Ning Li
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Lingxiang Wu
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Wei Wu
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Liangyu Li
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Yuan Liang
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Lin Luo
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Quanzhong Liu
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China
| | - Yanhui Zhu
- Jiangsu Breast Disease Center, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China
| | - Jie Sun
- Department of Breast Surgery, The First Affiliated Hospital of Soochow University, 188 Shizi Street, 215006, Suzhou, China
| | - Liang Shi
- Jiangsu Breast Disease Center, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China
| | - Tiansong Xia
- Jiangsu Breast Disease Center, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China
| | - Chuang Yang
- Jiangsu Breast Disease Center, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China
| | - Qitong Xu
- Jiangsu Breast Disease Center, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China
| | - Xue Han
- Department of Pathology, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China
| | - Weiming Zhang
- Department of Pathology, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China
| | - Jianxia Liu
- Department of Breast Surgery, The First Affiliated Hospital of Soochow University, 188 Shizi Street, 215006, Suzhou, China
| | - Dong Meng
- Department of Breast Surgery, Affiliated Hospital of Jiangnan University, 1000 Hefeng Road, 214000, Wuxi, China
| | - Hua Shao
- Department of Breast Surgery, The Second People's Hospital of Lianyungang, 41 Hailian East Road, 222006, Lianyungang, China
| | - Xiangxin Zheng
- Department of Breast Surgery, Affiliated Suqian Hospital of Xuzhou Medical University, 138 Huanghe South Road, 223800, Suqian, China
| | - Shuqin Li
- The Affiliated Lianyungang Hospital of Xuzhou Medical University, 6 Zhenhua East Road, 222006, Lianyungang, China
| | - Hua Pan
- Liyang People's Hospital, 70 Jianshe West Road, 213300, Liyang, China
| | - Jing Ke
- The Affiliated Hospital of Nantong University, 20 Xisi Road, 226300, Nantong, China
| | - Wenying Jiang
- Department of Breast Surgery, The Third Affiliated Hospital of Soochow University, 185 Juqian Street, 213000, Changzhou, China
| | - Xiaolan Zhang
- Department of Breast Surgery, The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, 29 Xinglong Lane, 213000, Changzhou, China
| | - Xuedong Han
- Department of Breast and Thyroid Surgery, Huai'an First People's Hospital, Nanjing Medical University, 1 Huanghe West Road, 223300, Huai'an, China
| | - Jian Chu
- Department of General Surgery, the First People's Hospital of Yancheng, 66 Renmin South Road, 224001, Yancheng, China
| | - Hongyin An
- Department of General Surgery, the First People's Hospital of Yancheng, 66 Renmin South Road, 224001, Yancheng, China
| | - Juyan Ge
- Department of Pathology, The Second People's Hospital of Lianyungang, 41 Hailian East Road, 222006, Lianyungang, China
| | - Chi Pan
- Department of Breast Surgery, the Second Affiliated Hospital, Zhejiang University, College of Medicine, 88 Jiefang Road, 310009, Hangzhou, China
| | - Xiuxing Wang
- National Health Commission Key Laboratory of Antibody Techniques, Department of Cell Biology, Jiangsu Provincial Key Laboratory of Human Functional Genomics, School of Basic Medical Sciences, Nanjing Medical University, 211166, Nanjing, Jiangsu, China
- Institute for Brain Tumors, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Medicine, Division of Regenerative Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Kening Li
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China.
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China.
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China.
| | - Qianghu Wang
- Department of Bioinformatics, Nanjing Medical University, 101 Longmian Avenue, 211166, Nanjing, China.
- Collaborative Innovation Center for Personalized Cancer Medicine, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Nanjing Medical University, 211166, Nanjing, Jiangsu, China.
- The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, 210002, Nanjing, China.
- Biomedical Big Data Center, Nanjing Medical University, 211166, Nanjing, Jiangsu, China.
| | - Qiang Ding
- Jiangsu Breast Disease Center, The First Affiliated Hospital with Nanjing Medical University, 300 Guangzhou Road, 210029, Nanjing, China.
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Hu C, Wu H, Zhu Q, Cao N, Wang H. Cholesterol metabolism in T-cell aging: Accomplices or victims. FASEB J 2023; 37:e23136. [PMID: 37584624 DOI: 10.1096/fj.202300515r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 07/12/2023] [Accepted: 07/31/2023] [Indexed: 08/17/2023]
Abstract
Aging has a significant impact on the function and metabolism of T cells. Cholesterol, the most important sterol in mammals, is known as the "gold of the body" because it maintains membrane fluidity, rigidity, and signal transduction while also serving as a precursor of oxysterols, bile acids, and steroid hormones. Cholesterol homeostasis is primarily controlled by uptake, biosynthesis, efflux, and regulatory mechanisms. Previous studies have suggested that there are reciprocal interactions between cholesterol metabolism and T lymphocytes. Here, we will summarize the most recent advances in the effects of cholesterol and its derivatives on T-cell aging. We will furthermore discuss interventions that might be used to help older individuals with immune deficiencies or diminishing immune competence.
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Affiliation(s)
- Cexun Hu
- Department of Clinical Genetics, Yueyang Maternal and Child Health-Care Hospital, Yueyang, P.R. China
- Department of Immunology, Key Laboratory of Medical Science and Laboratory Medicine of Jiangsu Province, School of Medicine, Jiangsu University, Zhenjiang, P.R. China
| | - Hongliang Wu
- Department of Clinical Genetics, Yueyang Maternal and Child Health-Care Hospital, Yueyang, P.R. China
| | - Qun Zhu
- Department of Clinical Genetics, Yueyang Maternal and Child Health-Care Hospital, Yueyang, P.R. China
| | - Na Cao
- Department of Hematology, Yueyang People's Hospital, Yueyang, P. R. China
- Yueyang Hospital Affiliated to Hunan Normal University, Yueyang, P.R. China
| | - Hui Wang
- Department of Immunology, Key Laboratory of Medical Science and Laboratory Medicine of Jiangsu Province, School of Medicine, Jiangsu University, Zhenjiang, P.R. China
- Department of Immunology, School of Medicine, Jiangsu University, Zhenjiang, P.R. China
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Cheng Y, Bu D, Zhang Q, Sun R, Lyle S, Zhao G, Dong L, Li H, Zhao Y, Yu J, Hao X. Genomic and transcriptomic profiling indicates the prognosis significance of mutational signature for TMB-high subtype in Chinese patients with gastric cancer. J Adv Res 2023; 51:121-134. [PMID: 36351537 PMCID: PMC10491970 DOI: 10.1016/j.jare.2022.10.019] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 10/11/2022] [Accepted: 10/31/2022] [Indexed: 11/07/2022] Open
Abstract
INTRODUCTION Gastric cancer (GC)is the third leading cause of cancer-related deaths in China and immunotherapy emerging as a revolutionary treatment for GC recently. Tumor mutational burden (TMB) is a predictive biomarker of immunotherapy in multiple cancers. However, the prognostic significance and subtype of TMB in GC is not fully understood. OBJECTIVES This study aims to evaluate the prognostic value of TMB in Chinese GC and further classify TMB-high GC (GCTMB-H) patients combing with mutational signatures. METHODS Genomic profiling of 435 cancer-gene panel was performed using 206 GC samples from Chinese people. Actionable genetic alterations were compared across all the samples to generate actionable subtyping. The prognostic value of TMB in Chinese GC was evaluated. Mutational signatures were analyzed on TMB-H subtype to stratify the prognosis of TMB. Transcriptomic analysis was applied to compare the distributed immunocytes among different subtypes. RESULTS 88.3% (182/206) of GC samples had at least one mutation, while 45.1% (93/206) had at least one somatic copy number alteration (SCNA). 29.6% (61/206) of GC samples were TMB-H, including 13 MSI-H and 48 MSS tumors. According to distinct genetic alteration profiles of 69 actionable genes, we classified GC samples into eight molecular subtypes, including TMB-H, ERBB2 amplified, ATM mutated, BRCA2 mutated, CDKN2A/B deleted, PI3KCA mutated, KRAS mutated, and less-mutated subtype. TMB-H subtype presented a remarkable immune-activated phenotype as determined by transcriptomic analysis that was further validated in the TCGA GC cohort. GCTMB-H patients exhibited significantly better survival (P = 0.047). But Signature 1-high GCTMB-H patients had relatively worse prognosis (P = 0.0209, HR = 2.571) than Signature 1-low GCTMB-H patients from Chinese GC cohort, also validated in TCGA GC cohort, presenting highly activated carbohydrate, fatty acid or lipid metabolism. CONCLUSION The Signature 1-high GCTMB-H could be a marker of poor prognosis and is associated with metabolism disorder.
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Affiliation(s)
- Yanan Cheng
- Cancer Molecular Diagnostics Core, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China; National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Dechao Bu
- Research Center for Ubiquitous Computing Systems, Key Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
| | - Qiaoling Zhang
- Cancer Molecular Diagnostics Core, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China; National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Rebecca Sun
- KEW, Inc., 303 Wyman Street, Waltham, MA, USA
| | | | - Gang Zhao
- Department of Gastrointestinal Cancer Biology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China
| | - Li Dong
- Cancer Molecular Diagnostics Core, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China; National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Hui Li
- Department of Gastrointestinal Cancer Biology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China
| | - Yi Zhao
- Research Center for Ubiquitous Computing Systems, Key Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
| | - Jinpu Yu
- Cancer Molecular Diagnostics Core, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China; National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
| | - Xishan Hao
- Cancer Molecular Diagnostics Core, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China; National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
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Liu B, Meng Q, Gao X, Sun H, Xu Z, Wang Y, Zhou H. Lipid and glucose metabolism in senescence. Front Nutr 2023; 10:1157352. [PMID: 37680899 PMCID: PMC10481967 DOI: 10.3389/fnut.2023.1157352] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 08/09/2023] [Indexed: 09/09/2023] Open
Abstract
Senescence is an inevitable biological process. Disturbances in glucose and lipid metabolism are essential features of cellular senescence. Given the important roles of these types of metabolism, we review the evidence for how key metabolic enzymes influence senescence and how senescence-related secretory phenotypes, autophagy, apoptosis, insulin signaling pathways, and environmental factors modulate glucose and lipid homeostasis. We also discuss the metabolic alterations in abnormal senescence diseases and anti-cancer therapies that target senescence through metabolic interventions. Our work offers insights for developing pharmacological strategies to combat senescence and cancer.
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Affiliation(s)
- Bin Liu
- Department of Urology II, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Qingfei Meng
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, Jilin, China
| | - Xin Gao
- Department of Urology II, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Huihui Sun
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, Jilin, China
| | - Zhixiang Xu
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, Jilin, China
| | - Yishu Wang
- Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, Jilin, China
| | - Honglan Zhou
- Department of Urology II, The First Hospital of Jilin University, Changchun, Jilin, China
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Wu D, Liao G, Yao Y, Huang L, Dong B, Ma Y, Yang G. Downregulated Acetyl-CoA Acyltransferase 2 Promoted the Progression of Hepatocellular Carcinoma and Participated in the Formation of Immunosuppressive Microenvironment. J Hepatocell Carcinoma 2023; 10:1327-1339. [PMID: 37581093 PMCID: PMC10423610 DOI: 10.2147/jhc.s418429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 08/01/2023] [Indexed: 08/16/2023] Open
Abstract
Background The aim of this study is to explore the role of acetyl-CoA acyltransferase 2 (ACAA2) in the progression of hepatocellular carcinoma (HCC). Methods Bulk RNA data and single-cell RNA data were acquired from The Cancer Genome Atlas and Gene Expression Omnibus. Both in vitro and in vivo studies were used to determine the effect of ACAA2 on the progression of HCC, and RNA sequencing analysis was performed to explore the mechanism. Results We found downregulation of ACAA2 was involved in the malignant progression of HCC. The patient with low ACAA2 level had an immunosuppressive microenvironment in the HCC and predicted to have a poor prognosis. Decreased ACAA2 facilitated HCC proliferation and metastasis by activating the nuclear factor-κB (NFκB) signaling pathway. And increased CXCL1 induced by NFκB signaling pathway might be responsible for low level of ACAA2 related immunosuppressive microenvironment. Furthermore, the expression of ACAA2 was also detected in immune cells. The expression of ACAA2 in CD4+TCF7+T, CD4+FOXP3+T, CD8+GZMK+T, and CD8+KLRD1+T cells was inversely correlated with the composition of CD8+PDCD1+T cells in HCC. This effect might be due to the CCL5-CCRs and HLA-E-KLRCs ligand-receptor networks. Conclusion In a conclusion, downregulated ACAA2 promoted the progression of hepatocellular carcinoma and might be participated in the formation of immunosuppressive microenvironment. ACAA2 could be served as a favorable indicator for the prognosis of HCC and an ideal biomarker for immunotherapy.
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Affiliation(s)
- Dehai Wu
- Department of Hepatic Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Guanqun Liao
- Department of Hepatobiliary Surgery, Foshan Hospital Affiliated to Southern Medical University, Foshan, People’s Republic of China
| | - Yuanfei Yao
- Key Laboratory of Tumor Immunology in Heilongjiang, Department of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, People’s Republic of China
| | - Lining Huang
- Department of Hepatobiliary Surgery, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, People’s Republic of China
| | - Bowen Dong
- Department of Biochemistry & Molecular Biology, Harbin Medical University, Harbin, People’s Republic of China
| | - Yong Ma
- Key Laboratory of Hepatosplenic Surgery, Ministry of Education, Department of Hepatic Minimal Invasive Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Guangchao Yang
- Key Laboratory of Hepatosplenic Surgery, Ministry of Education, Department of Hepatic Minimal Invasive Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
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Cai Y, Cheng Y, Wang Z, Li L, Qian Z, Xia W, Yu W. A novel metabolic subtype with S100A7 high expression represents poor prognosis and immuno-suppressive tumor microenvironment in bladder cancer. BMC Cancer 2023; 23:725. [PMID: 37543645 PMCID: PMC10403905 DOI: 10.1186/s12885-023-11182-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 07/14/2023] [Indexed: 08/07/2023] Open
Abstract
BACKGROUND Bladder cancer (BLCA) represents a highly heterogeneous disease characterized by distinct histological, molecular, and clinical features, whose tumorigenesis and progression require aberrant metabolic reprogramming of tumor cells. However, current studies have not expounded systematically and comprehensively on the metabolic heterogeneity of BLCA. METHODS The UCSC XENA portal was searched to obtain the expression profiles and clinical annotations of BLCA patients in the TCGA cohort. A total of 1,640 metabolic-related genes were downloaded from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Then, consensus clustering was performed to divide the BLCA patients into two metabolic subtypes according to the expression of metabolic-related genes. Kaplan-Meier analysis was used to measure the prognostic values of the metabolic subtypes. Subsequently, comparing the immune-related characteristics between the two metabolic subtypes to describe the immunological difference. Then, the Scissor algorithm was applied to link the metabolic phenotypes and single-cell transcriptome datasets to determine the biomarkers associated with metabolic subtypes and prognosis. Finally, the clinical cohort included 63 BLCA and 16 para-cancerous samples was used to validate the prognostic value and immunological correlation of the biomarker. RESULTS BLCA patients were classified into two heterogeneous metabolic-related subtypes (MRSs) with distinct features: MRS1, the subtype with no active metabolic characteristics but an immune infiltration microenvironment; and MRS2, the lipogenic subtype with upregulated lipid metabolism. These two subtypes had distinct prognoses, molecular subtypes distributions, and activations of therapy-related pathways. MRS1 BLCAs preferred to be immuno-suppressive and up-regulated immune checkpoints expression, suggesting the well-therapeutic response of MRS1 patients to immunotherapy. Based on the Scissor algorithm, we found that S100A7 both specifically up-regulated in the MRS1 phenotype and MRS1-tumor cells, and positively correlated with immunological characteristics. In addition, in the clinical cohort included 63 BLCA and 16 para-cancerous samples, S100A7 was obviously associated with poor prognosis and enhanced PD-L1 expression. CONCLUSIONS The metabolic subtype with S100A7 high expression recognizes the immuno-suppressive tumor microenvironment and predicts well therapeutic response of immunotherapy in BLCA. The study provides new insights into the prognostic and therapeutic value of metabolic heterogeneity in BLCA.
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Affiliation(s)
- Yun Cai
- Department of Oncology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No.299, Qingyang Road, Wuxi, 214023, China
- Wuxi College of Clinical Medicine, Nanjing Medical University, Wuxi, China
| | - Yifei Cheng
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ziyu Wang
- Department of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Lu Li
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, China
- Nanjing Simcere Medical Laboratory Science Co., Ltd, Nanjing, China
| | - Zhengtao Qian
- Department of Clinical laboratory, Changshu Medicine Examination Institute, No.36, Qingduntang Road, Suzhou, 215500, China.
| | - Wei Xia
- Department of IntensiveCareUnit, TheAffiliated Wuxi People's Hospital of NanjingMedicalUniversity, Wuxi, China.
- Department of Intensive Care Unit, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No.299, Qingyang Road, Wuxi, 214023, China.
| | - Weiwei Yu
- Department of Oncology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No.299, Qingyang Road, Wuxi, 214023, China.
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Maya J. Surveying the Metabolic and Dysfunctional Profiles of T Cells and NK Cells in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. Int J Mol Sci 2023; 24:11937. [PMID: 37569313 PMCID: PMC10418326 DOI: 10.3390/ijms241511937] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/20/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
Millions globally suffer from myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). The inflammatory symptoms, illness onset, recorded outbreak events, and physiological variations provide strong indications that ME/CFS, at least sometimes, has an infectious origin, possibly resulting in a chronic unidentified viral infection. Meanwhile, studies exposing generalized metabolic disruptions in ME/CFS have stimulated interest in isolated immune cells with an altered metabolic state. As the metabolism dictates the cellular function, dissecting the biomechanics of dysfunctional immune cells in ME/CFS can uncover states such as exhaustion, senescence, or anergy, providing insights into the consequences of these phenotypes in this disease. Despite the similarities that are seen metabolically between ME/CFS and other chronic viral infections that result in an exhausted immune cell state, immune cell exhaustion has not yet been verified in ME/CFS. This review explores the evidence for immunometabolic dysfunction in ME/CFS T cell and natural killer (NK) cell populations, comparing ME/CFS metabolic and functional features to dysfunctional immune cell states, and positing whether anergy, exhaustion, or senescence could be occurring in distinct immune cell populations in ME/CFS, which is consistent with the hypothesis that ME/CFS is a chronic viral disease. This comprehensive review of the ME/CFS immunometabolic literature identifies CD8+ T cell exhaustion as a probable contender, underscores the need for further investigation into the dysfunctional state of CD4+ T cells and NK cells, and explores the functional implications of molecular findings in these immune-cell types. Comprehending the cause and impact of ME/CFS immune cell dysfunction is critical to understanding the physiological mechanisms of ME/CFS, and developing effective treatments to alleviate the burden of this disabling condition.
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Affiliation(s)
- Jessica Maya
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14850, USA
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