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Zieliński P, Stępień M, Chowaniec H, Kalyta K, Czerniak J, Borowczyk M, Dwojak E, Mroczek M, Dworacki G, Ślubowska A, Markiewicz H, Ałtyn R, Dobosz P. Resistance in Lung Cancer Immunotherapy and How to Overcome It: Insights from the Genetics Perspective and Combination Therapies Approach. Cells 2025; 14:587. [PMID: 40277912 PMCID: PMC12026305 DOI: 10.3390/cells14080587] [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: 03/11/2025] [Revised: 04/07/2025] [Accepted: 04/09/2025] [Indexed: 04/26/2025] Open
Abstract
Lung cancer with the highest number of new cases diagnosed in Europe and in Poland, remains an example of malignancy with a very poor prognosis despite the recent progress in medicine. Different treatment strategies are now available for cancer therapy based on its type, molecular subtype and other factors including overall health, the stage of disease and cancer molecular profile. Immunotherapy is emerging as a potential addition to surgery, chemotherapy, radiotherapy or other targeted therapies, but also considered a mainstay therapy mode. This combination is an area of active investigation in order to enhance efficacy and overcome resistance. Due to the complexity and dynamic of cancer's ecosystem, novel therapeutic targets and strategies need continued research into the cellular and molecular mechanisms within the tumour microenvironment. From the genetic point of view, several signatures ranging from a few mutated genes to hundreds of them have been identified and associated with therapy resistance and metastatic potential. ML techniques and AI can enhance the predictive potential of genetic signatures and model the prognosis. Here, we present the overview of already existing treatment approaches, the current findings of key aspects of immunotherapy, such as immune checkpoint inhibitors (ICIs), existing molecular biomarkers like PD-L1 expression, tumour mutation burden, immunoscore, and neoantigens, as well as their roles as predictive markers for treatment response and resistance.
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Affiliation(s)
- Paweł Zieliński
- Chair of Pathomorphology and Clinical Immunology, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (H.C.); (J.C.); (E.D.); (G.D.); (P.D.)
| | - Maria Stępień
- Université Paris-Saclay, UVSQ, INSERM, END-ICAP, 94805 Versailles, France;
- Doctoral School, Medical University of Lublin, 20-954 Lublin, Poland
| | - Hanna Chowaniec
- Chair of Pathomorphology and Clinical Immunology, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (H.C.); (J.C.); (E.D.); (G.D.); (P.D.)
| | - Kateryna Kalyta
- Faculty of Biology, University of Basel, 4123 Basel, Switzerland;
| | - Joanna Czerniak
- Chair of Pathomorphology and Clinical Immunology, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (H.C.); (J.C.); (E.D.); (G.D.); (P.D.)
| | - Martyna Borowczyk
- Department of Endocrinology, Internal Medicine and Metabolism, Poznan University of Medical Sciences, 61-701 Poznan, Poland;
| | - Ewa Dwojak
- Chair of Pathomorphology and Clinical Immunology, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (H.C.); (J.C.); (E.D.); (G.D.); (P.D.)
- Department of Pathomorphology, University Clinical Hospital, 61-701 Poznan, Poland
| | - Magdalena Mroczek
- Department of Neurology, University Hospital Basel, 4123 Basel, Switzerland;
| | - Grzegorz Dworacki
- Chair of Pathomorphology and Clinical Immunology, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (H.C.); (J.C.); (E.D.); (G.D.); (P.D.)
| | - Antonina Ślubowska
- Department of Biostatistics and Research Methodology, Faculty of Medicine, Collegium Medicum, Cardinal Stefan Wyszynski University of Warsaw, 02-004 Warsaw, Poland;
| | - Hanna Markiewicz
- Department of Histology and Embryology, Faculty of Medicine, Medical University of Warsaw, 02-004 Warsaw, Poland
- Department of Methodology, Faculty of Medicine, Medical University of Warsaw, 02-004 Warsaw, Poland
| | - Rafał Ałtyn
- IT Department, Poznan University of Medical Sciences, 61-701 Poznan, Poland;
| | - Paula Dobosz
- Chair of Pathomorphology and Clinical Immunology, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (H.C.); (J.C.); (E.D.); (G.D.); (P.D.)
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Lefler DS, Manobianco SA, Bashir B. Immunotherapy resistance in solid tumors: mechanisms and potential solutions. Cancer Biol Ther 2024; 25:2315655. [PMID: 38389121 PMCID: PMC10896138 DOI: 10.1080/15384047.2024.2315655] [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: 07/24/2023] [Accepted: 02/04/2024] [Indexed: 02/24/2024] Open
Abstract
While the emergence of immunotherapies has fundamentally altered the management of solid tumors, cancers exploit many complex biological mechanisms that result in resistance to these agents. These encompass a broad range of cellular activities - from modification of traditional paradigms of immunity via antigen presentation and immunoregulation to metabolic modifications and manipulation of the tumor microenvironment. Intervening on these intricate processes may provide clinical benefit in patients with solid tumors by overcoming resistance to immunotherapies, which is why it has become an area of tremendous research interest with practice-changing implications. This review details the major ways cancers avoid both natural immunity and immunotherapies through primary (innate) and secondary (acquired) mechanisms of resistance, and it considers available and emerging therapeutic approaches to overcoming immunotherapy resistance.
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Affiliation(s)
- Daniel S. Lefler
- Department of Medicine, Division of Hematology and Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Steven A. Manobianco
- Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Babar Bashir
- Department of Medical Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
- Department of Pharmacology, Physiology, and Cancer Biology, Thomas Jefferson University, Philadelphia, PA, USA
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Abah MO, Ogenyi DO, Zhilenkova AV, Essogmo FE, Ngaha Tchawe YS, Uchendu IK, Pascal AM, Nikitina NM, Rusanov AS, Sanikovich VD, Pirogova YN, Boroda A, Moiseeva AV, Sekacheva MI. Innovative Therapies Targeting Drug-Resistant Biomarkers in Metastatic Clear Cell Renal Cell Carcinoma (ccRCC). Int J Mol Sci 2024; 26:265. [PMID: 39796121 PMCID: PMC11720203 DOI: 10.3390/ijms26010265] [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: 11/14/2024] [Revised: 12/09/2024] [Accepted: 12/14/2024] [Indexed: 01/13/2025] Open
Abstract
A thorough study of Clear Cell Renal Cell Carcinoma (ccRCC) shows that combining tyrosine kinase inhibitors (TKI) with immune checkpoint inhibitors (ICI) shows promising results in addressing the tumor-promoting influences of abnormal immunological and molecular biomarkers in metastatic Clear Cell Renal Cell Carcinoma (ccRCC). These abnormal biomarkers enhance drug resistance, support tumor growth, and trigger cancer-related genes. Ongoing clinical trials are testing new treatment options that appear more effective than earlier ones. However, more research is needed to confirm their long-term safety use and potential side effects. This study highlights vital molecular and immunological biomarkers associated with drug resistance in Clear Cell Renal Cell Carcinoma (ccRCC). Furthermore, this study identifies a number of promising drug candidates and biomarkers that serve as significant contributors to the enhancement of the overall survival of ccRCC patients. Consequently, this article offers pertinent insights on both recently completed and ongoing clinical trials, recommending further toxicity study for the prolonged use of this treatment strategy for patients with metastatic ccRCC, while equipping researchers with invaluable information for the progression of current treatment strategies.
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Affiliation(s)
- Moses Owoicho Abah
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
- Department of Cancer Bioinformatics and Molecular Biology, Royal Society of Clinical and Academic Researchers (ROSCAR) International, Abuja 900104, Nigeria
| | - Deborah Oganya Ogenyi
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
| | - Angelina V. Zhilenkova
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
| | - Freddy Elad Essogmo
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
| | - Yvan Sinclair Ngaha Tchawe
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
| | - Ikenna Kingsley Uchendu
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
- Medical Laboratory Science Department, Faculty of Health Science and Technology, College of Medicine, University of Nigeria, Enugu Campus, Enugu 410001, Nigeria
| | - Akaye Madu Pascal
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
| | - Natalia M. Nikitina
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
| | - Alexander S. Rusanov
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
| | - Varvara D. Sanikovich
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
| | - Yuliya N. Pirogova
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
| | - Alexander Boroda
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
| | - Aleksandra V. Moiseeva
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
| | - Marina I. Sekacheva
- World-Class Research Center “Digital Biodesign and Personalized Healthcare”, Sechenov First Moscow State Medical University, Moscow 119991, Russia; (D.O.O.); (A.V.Z.); (F.E.E.); (Y.S.N.T.); (A.M.P.); (N.M.N.); (A.S.R.); (V.D.S.); (Y.N.P.); (A.B.); (A.V.M.); (M.I.S.)
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Li F, Hu H, Li L, Ding L, Lu Z, Mao X, Wang R, Luo W, Lin Y, Li Y, Chen X, Zhu Z, Lu Y, Zhou C, Wang M, Xia L, Li G, Gao L. Integrated machine learning reveals the role of tryptophan metabolism in clear cell renal cell carcinoma and its association with patient prognosis. Biol Direct 2024; 19:132. [PMID: 39707545 DOI: 10.1186/s13062-024-00576-w] [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: 10/07/2024] [Accepted: 12/04/2024] [Indexed: 12/23/2024] Open
Abstract
BACKGROUND Precision oncology's implementation in clinical practice faces significant constraints due to the inadequacies in tools for detailed patient stratification and personalized treatment methodologies. Dysregulated tryptophan metabolism has emerged as a crucial factor in tumor progression, encompassing immune suppression, proliferation, metastasis, and metabolic reprogramming. However, its precise role in clear cell renal cell carcinoma (ccRCC) remains unclear, and predictive models or signatures based on tryptophan metabolism are conspicuously lacking. METHODS The influence of tryptophan metabolism on tumor cells was explored using single-cell RNA sequencing data. Genes involved in tryptophan metabolism were identified across both single-cell and bulk-cell dimensions through weighted gene co-expression network analysis (WGCNA) and its single-cell data variant (hdWGCNA). Subsequently, a tryptophan metabolism-related signature was developed using an integrated machine-learning approach. This signature was then examined in multi-omics data to assess its associations with patient clinical features, prognosis, cancer malignancy-related pathways, immune microenvironment, genomic characteristics, and responses to immunotherapy and targeted therapy. Finally, the genes within the signature were validated through experiments including qRT-PCR, Western blot, CCK8 assay, and transwell assay. RESULTS Dysregulated tryptophan metabolism was identified as a potential driver of the malignant transformation of normal epithelial cells. The tryptophan metabolism-related signature (TMRS) demonstrated robust predictive capability for overall survival (OS) and progression-free survival (PFS) across multiple datasets. Moreover, a high TMRS risk score correlated with increased tumor malignancy, significant metabolic reprogramming, an inflamed yet dysfunctional immune microenvironment, heightened genomic instability, resistance to immunotherapy, and increased sensitivity to certain targeted therapeutics. Experimental validation revealed differential expression of genes within the signature between RCC and adjacent normal tissues, with reduced expression of DDAH1 linked to enhanced proliferation and metastasis of tumor cells. CONCLUSION This study investigated the potential impact of dysregulated tryptophan metabolism on clear cell renal cell carcinoma, leading to the development of a tryptophan metabolism-related signature that may provide insights into patient prognosis, tumor biological status, and personalized treatment strategies. This signature serves as a valuable reference for further exploring the role of tryptophan metabolism in renal cell carcinoma and for the development of clinical applications based on this metabolic pathway.
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Affiliation(s)
- Fan Li
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Haiyi Hu
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Liyang Li
- School of Medicine, University of New South Wales, Sydney, Australia
| | - Lifeng Ding
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Zeyi Lu
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Xudong Mao
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Ruyue Wang
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Wenqin Luo
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Yudong Lin
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Yang Li
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Xianjiong Chen
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Ziwei Zhu
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Yi Lu
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Chenghao Zhou
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Mingchao Wang
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China
| | - Liqun Xia
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China.
| | - Gonghui Li
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China.
| | - Lei Gao
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, China.
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Wang Y, Ju X, Hua R, Chen J, Dai X, Liu L, Wang G, Bai Y, Hu H, Li X. Deep learning analysis of histopathological images predicts immunotherapy prognosis and reveals tumour microenvironment features in non-small cell lung cancer. Br J Cancer 2024; 131:1833-1845. [PMID: 39455880 PMCID: PMC11589918 DOI: 10.1038/s41416-024-02856-8] [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: 02/04/2024] [Revised: 09/06/2024] [Accepted: 09/13/2024] [Indexed: 10/28/2024] Open
Abstract
BACKGROUND Non-small cell lung cancer (NSCLC) is one of the leading causes of cancer mortality worldwide. Immune checkpoint inhibitors (ICIs) have emerged as a crucial treatment option for patients with advanced NSCLC. However, only a subset of patients experience clinical benefit from ICIs. Therefore, identifying biomarkers that can predict response to ICIs is imperative for optimising patient selection. METHODS Hematoxylin and eosin (H&E) images of NSCLC patients were obtained from the local cohort (n = 106) and The Cancer Genome Atlas (TCGA) (n = 899). We developed an ICI-related pathological prognostic signature (ir-PPS) based on H&E stained histopathology images to predict prognosis in NSCLC patients treated with ICIs using deep learning. To accomplish this, we employed a modified ResNet model (ResNet18-PG), a widely-used deep learning architecture well-known for its effectiveness in handling complex image recognition tasks. Our modifications include a progressive growing strategy to improve the stability of model training and the use of the AdamW optimiser, which enhances the optimisation process by adjusting the learning rate based on training dynamics. RESULTS The deep learning model, ResNet18-PG, achieved an area under the receiver operating characteristic curve (AUC) of 0.918 and a recall of 0.995 on the local cohort. The ir-PPS effectively risk-stratified NSCLC patients. Patients in the low-risk group (n = 40) had significantly improved progression-free survival (PFS) after ICI treatment compared to those in the high-risk group (n = 66, log-rank P = 0.004, hazard ratio (HR) = 3.65, 95%CI: 1.75-7.60). The ir-PPS demonstrated good discriminatory power for predicting 6-month PFS (AUC = 0.750), 12-month PFS (AUC = 0.677), and 18-month PFS (AUC = 0.662). The low-risk group exhibited increased expression of immune checkpoint molecules, cytotoxicity-related genes, an elevated abundance of tumour-infiltrating lymphocytes, and enhanced activity in immune stimulatory pathways. CONCLUSIONS The ir-PPS signature derived from H&E images using deep learning could predict ICIs prognosis in NSCLC patients. The ir-PPS provides a novel imaging biomarker that may help select optimal candidates for ICIs therapy in NSCLC.
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Affiliation(s)
- Youyu Wang
- Department of Thoracic Surgery, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Institute of Thoracic Oncology and Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Xueming Ju
- Department of Ultrasound, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Rong Hua
- Department of Respiratory and Critical Care Medicine, Sixth People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Ji Chen
- Department of Medical Oncology, The Seventh People's Hospital of Chengdu, Chengdu, Sichuan, China
| | - Xiaoqin Dai
- Department of Traditional Chinese Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Lunxu Liu
- Institute of Thoracic Oncology and Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Guifang Wang
- Department of Respiratory and Critical Care Medicine, Sixth People's Hospital of Chengdu, Chengdu, Sichuan, China.
| | - Yifeng Bai
- Department of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
| | - Honglin Hu
- Department of Oncology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
| | - Xiaohua Li
- Department of Respiratory and Critical Care Medicine, Sixth People's Hospital of Chengdu, Chengdu, Sichuan, China.
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Wei C, Li C, Zhang G, Li H, Li J, Zeng J. Causality Between Immune Cells, Metabolites and Breast Cancer: Mendelian Randomization and Mediation Analysis. Biochem Genet 2024:10.1007/s10528-024-10966-4. [PMID: 39514081 DOI: 10.1007/s10528-024-10966-4] [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: 02/05/2024] [Accepted: 10/30/2024] [Indexed: 11/16/2024]
Abstract
Previous studies have shown that immune cells and metabolites are associated with the development of breast cancer, but the causal relationship is unclear. We use Mendelian randomization (MR) to explore potential connections between them. Based on two sample MR studies, we evaluated the causal relationship between 731 immune cell traits, 1400 metabolites and breast cancer. In addition, we evaluated the mediating role of metabolites between immune cells and breast cancer using two-step MR Studies. Pooled GWAS data on 731 immune cell traits (n = 3757), 1400 metabolites (n = 8299) and breast cancer (ncase = 122,977, ncontrol = 105,974) were obtained from publicly available authoritative databases. We mainly used inverse variance weighted (IVW) method combined with Bayesian weighted MR (BWMR), MR-Egger, weighted median, simple mode, and weighted mode methods. The results of MR Studies showed that 3 immune cells and 15 metabolites were associated with an increased risk of breast cancer. 8 immune cells and 11 metabolites are associated with a reduced risk of breast cancer. Mediating MR Analysis showed that 6 metabolites, Tricosanoyl sphingomyelin (d18:1/23:0) levels(Mediated proportion:17.5%), N-palmitoyl-heptadecasphingosine (d17:1/16:0) levels(8.74%), Inosine 5'-monophosphate (IMP) to phosphate ratio(11.3%), Glutamine to asparagine ratio(5.43%), Oleoyl-linoleoyl-glycerol (18:1/18:2) [2] levels(8.48%), and Sphinganine-1-phosphate levels(8.68%), were found to mediate the relationship between immune cells and breast cancer. Our study reveals a potential causal relationship among multiple immune cells traits, metabolites, and breast cancer. It provides valuable clues and potential therapeutic targets for breast cancer biomarker discovery and breast cancer treatment.
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Affiliation(s)
- Changlong Wei
- Department of Breast Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Changwang Li
- Department of Breast Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Gongyin Zhang
- Department of Breast Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Honghui Li
- Department of Breast Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Jingsong Li
- Department of Breast Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Jinsheng Zeng
- Department of Breast Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China.
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Wang H. The interplay of EBV virus and cell metabolism in lung cancer. J Cell Mol Med 2024; 28:e70088. [PMID: 39601114 PMCID: PMC11599874 DOI: 10.1111/jcmm.70088] [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: 07/05/2024] [Revised: 08/27/2024] [Accepted: 09/03/2024] [Indexed: 11/29/2024] Open
Abstract
Epstein-Barr virus infection has been implicated in various cancers, including lung cancer, where it influences cellular metabolism to promote tumorigenesis. This review examines the complex interplay between Epstein-Barr virus and cell metabolism in lung cancer, highlighting viral mechanisms of metabolic reprogramming and their implications for therapeutic strategies. Key viral proteins such as LMP1 and LMP2A manipulate glycolysis, glutaminolysis and lipid metabolism to support viral replication and immune evasion within the tumour microenvironment. Understanding these interactions provides insights into novel therapeutic approaches targeting viral-induced metabolic vulnerabilities in Epstein-Barr virus-associated lung cancer.
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Affiliation(s)
- Hongwei Wang
- Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer HospitalChinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical UniversityTaiyuanShanxiChina
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Lee SH, Kim S, Lee J, Kim Y, Joo Y, Heo JY, Lee H, Lee C, Hwang GS, Park H. Comprehensive metabolomic analysis identifies key biomarkers and modulators of immunotherapy response in NSCLC patients. Drug Resist Updat 2024; 77:101159. [PMID: 39405736 DOI: 10.1016/j.drup.2024.101159] [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: 05/21/2024] [Revised: 09/25/2024] [Accepted: 10/08/2024] [Indexed: 11/12/2024]
Abstract
Although immune checkpoint inhibitors (ICIs) have revolutionized immuno-oncology with effective clinical responses, only 30 to 40 % of patients respond to ICIs, highlighting the need for reliable biomarkers to predict and enhance therapeutic outcomes. This study investigated how amino acid, glycolysis, and bile acid metabolism affect ICI efficacy in non-small cell lung cancer (NSCLC) patients. Through targeted metabolomic profiling and machine learning analysis, we identified amino acid metabolism as a key factor, with histidine (His) linked to favorable outcomes and homocysteine (HCys), phenylalanine (Phe), and sarcosine (Sar) linked to poor outcomes. Importantly, the His/HCys+Phe+Sar ratio emerges as a robust biomarker. Furthermore, we emphasize the role of glycolysis-related metabolites, particularly lactate. Elevated lactate levels post-immunotherapy treatment correlate with poorer outcomes, underscoring lactate as a potential indicator of treatment efficacy. Moreover, specific bile acids, glycochenodeoxycholic acid (GCDCA) and taurolithocholic acid (TLCA), are associated with better survival and therapeutic response. Particularly, TLCA enhances T cell activation and anti-tumor immunity, suggesting its utility as a predictive biomarker and therapeutic agent. We also suggest a connection between gut microbiota and TLCA levels, with the Eubacterium genus modulating this relationship. Therefore, modulating specific metabolic pathways-particularly amino acid, glycolysis, and bile acid metabolism-could predict and enhance the efficacy of ICI therapy in NSCLC patients, with potential implications for personalized treatment strategies in immuno-oncology. ONE SENTENCE SUMMARY: Our study identifies metabolic biomarkers and pathways that could predict and enhance the outcomes of immune checkpoint inhibitor therapy in NSCLC patients.
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Affiliation(s)
- Se-Hoon Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea; Department of Health Sciences and Technology, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, South Korea
| | - Sujeong Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea
| | - Jueun Lee
- Integrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute, Seoul, South Korea
| | - Yunjae Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea
| | - Yanghyun Joo
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea
| | - Jun-Yeong Heo
- Department of Health Sciences and Technology, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, South Korea
| | - Heeyeon Lee
- Integrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute, Seoul, South Korea
| | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT 06032, USA
| | - Geum-Sook Hwang
- Integrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute, Seoul, South Korea; College of Pharmacy, Chung-Ang University, Seoul 06974, South Korea.
| | - Hansoo Park
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju, South Korea; Genome&Company, GWANGGYO FLAX DESIAN 7F, Changnyong-daero 256beon-gil 50, Yeongtong-gu, Suwon-si, Gyeonggi-do 16229, South Korea.
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9
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Li Y, Yang X, Han T, Zhou J, Liu Y, Guo J, Liu Z, Bai Y, Xing Y, Ding X, Wu J, Hu D. IGFBP1 promotes the proliferation and migration of lung adenocarcinoma cells through the PPARα pathway. Transl Oncol 2024; 49:102095. [PMID: 39167955 PMCID: PMC11382126 DOI: 10.1016/j.tranon.2024.102095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 07/18/2024] [Accepted: 08/11/2024] [Indexed: 08/23/2024] Open
Abstract
BACKGROUND The immune status is closely linked to cancer progression, metastasis, and prognosis. Lipid metabolism, crucial for reshaping immune status, plays a key role in regulating the advancement of lung adenocarcinoma (LUAD) and deserves further investigation. METHODS This study classifies LUAD patients into different immune subtypes based on lipid metabolism-related genes and compares the clinical characteristics among these subtypes. Single-multi COX analysis screens out key genes related to prognosis, and a risk feature and prognostic model are constructed. Cell cloning, scratch, transwell, western blotting and flow cytometry cell cycle analysis to detect the function of key genes. A subcutaneous tumor animal model is used to investigate the in vivo function and molecular mechanisms of key genes. RESULTS LUAD patients are classified into three immune subtypes, among which C3 subtype has lower immune status and higher frequency of gene mutations, and show lower immunoreactivity in immunotherapy. COX analysis identified a prognostic model for four lipid metabolism factors (IGFBP1, NR0B2, PPARA, and POMC). IGFBP1, a core gene in this model, is highly expressed in the C3 subtype. Functionally, knocking down IGFBP1 significantly inhibits tumor cell cloning, scratch, and migration abilities, and downregulates the expression of cell cycle and EMT-related proteins. Knocking down IGFBP1 significantly inhibits tumor burden (P < 0.05). Mechanistically, knocking down IGFBP1 inhibits the activation of PPARα to regulate tumor cell growth. CONCLUSIONS This study found that lipid metabolism genes are closely related to LUAD, and IGFBP1 may be a key gene in regulating tumor growth and development.
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Affiliation(s)
- Yunyun Li
- School of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China; Anhui Occupational Health and Safety Engineering Laboratory, Huainan, Anhui, China
| | - Xuelian Yang
- School of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China; Anhui Occupational Health and Safety Engineering Laboratory, Huainan, Anhui, China
| | - Tao Han
- School of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China; Anhui Occupational Health and Safety Engineering Laboratory, Huainan, Anhui, China
| | - Jiawei Zhou
- School of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China; Anhui Occupational Health and Safety Engineering Laboratory, Huainan, Anhui, China
| | - Yafeng Liu
- School of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China; Anhui Occupational Health and Safety Engineering Laboratory, Huainan, Anhui, China
| | - Jianqiang Guo
- School of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China; Anhui Occupational Health and Safety Engineering Laboratory, Huainan, Anhui, China
| | - Ziqin Liu
- School of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China; Anhui Occupational Health and Safety Engineering Laboratory, Huainan, Anhui, China
| | - Ying Bai
- School of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China; Anhui Occupational Health and Safety Engineering Laboratory, Huainan, Anhui, China; Key Laboratory of Industrial Dust Deep Reduction and Occupational Health and Safety of Anhui Higher Education Institutes, Huainan, Anhui, China
| | - Yingru Xing
- Department of Clinical Laboratory, Anhui Zhongke Gengjiu Hospital, Hefei, China
| | - Xuansheng Ding
- School of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China; School of pharmacy, China Pharmaceutical University, Nanjing, China.
| | - Jing Wu
- School of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China; Anhui Occupational Health and Safety Engineering Laboratory, Huainan, Anhui, China; Key Laboratory of Industrial Dust Deep Reduction and Occupational Health and Safety of Anhui Higher Education Institutes, Huainan, Anhui, China; Key Laboratory of Industrial Dust Prevention and Control & Occupational Safety and Health of the Ministry of Education, Anhui University of Science and Technology, Huainan, Anhui, China.
| | - Dong Hu
- School of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China; Anhui Occupational Health and Safety Engineering Laboratory, Huainan, Anhui, China; Key Laboratory of Industrial Dust Deep Reduction and Occupational Health and Safety of Anhui Higher Education Institutes, Huainan, Anhui, China; Key Laboratory of Industrial Dust Prevention and Control & Occupational Safety and Health of the Ministry of Education, Anhui University of Science and Technology, Huainan, Anhui, China; Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, China.
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10
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Kong J, Zhao X, Singhal A, Park S, Bachelder R, Shen J, Zhang H, Moon J, Ahn C, Ock CY, Carter H, Ideker T. Prediction of immunotherapy response using mutations to cancer protein assemblies. SCIENCE ADVANCES 2024; 10:eado9746. [PMID: 39303028 PMCID: PMC11414719 DOI: 10.1126/sciadv.ado9746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 08/13/2024] [Indexed: 09/22/2024]
Abstract
While immune checkpoint inhibitors have revolutionized cancer therapy, many patients exhibit poor outcomes. Here, we show immunotherapy responses in bladder and non-small cell lung cancers are effectively predicted by factoring tumor mutation burden (TMB) into burdens on specific protein assemblies. This approach identifies 13 protein assemblies for which the assembly-level mutation burden (AMB) predicts treatment outcomes, which can be combined to powerfully separate responders from nonresponders in multiple cohorts (e.g., 76% versus 37% bladder cancer 1-year survival). These results are corroborated by (i) engineered disruptions in the predictive assemblies, which modulate immunotherapy response in mice, and (ii) histochemistry showing that predicted responders have elevated inflammation. The 13 assemblies have diverse roles in DNA damage checkpoints, oxidative stress, or Janus kinase/signal transducers and activators of transcription signaling and include unexpected genes (e.g., PIK3CG and FOXP1) for which mutation affects treatment response. This study provides a roadmap for using tumor cell biology to factor mutational effects on immune response.
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Affiliation(s)
- JungHo Kong
- Department of Medicine and Moores Cancer Center, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Xiaoyu Zhao
- Department of Medicine and Moores Cancer Center, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Akshat Singhal
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
| | - Sungjoon Park
- Department of Medicine and Moores Cancer Center, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Robin Bachelder
- Department of Medicine and Moores Cancer Center, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Jeanne Shen
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Haiyu Zhang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | | | | | | | - Hannah Carter
- Department of Medicine and Moores Cancer Center, School of Medicine, University of California San Diego, San Diego, CA, USA
| | - Trey Ideker
- Department of Medicine and Moores Cancer Center, School of Medicine, University of California San Diego, San Diego, CA, USA
- Department of Computer Science and Engineering, University of California San Diego, San Diego, CA, USA
- Department of Bioengineering, University of California San Diego, San Diego, CA, USA
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11
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Zhang W, Zhou X, Lin L, Lin A, Cheng Q, Liu Z, Luo P, Zhang J. Development and validation of a novel immune‒metabolic-Based classifier for hepatocellular carcinoma. Heliyon 2024; 10:e37327. [PMID: 39296052 PMCID: PMC11407989 DOI: 10.1016/j.heliyon.2024.e37327] [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: 01/27/2024] [Revised: 08/04/2024] [Accepted: 09/01/2024] [Indexed: 09/21/2024] Open
Abstract
The heterogeneity of immune cells and metabolic pathways in hepatocellular carcinoma (HCC) patients has not been fully elucidated, leading to diverse clinical outcomes. Accurately distinguishing different HCC subtypes and recommending appropriate treatments is are highly important. In this study, we conducted a comprehensive analysis of 28 immune cells and 85 metabolic pathways in the TCGA-LIHC and GSE14520 datasets. Metabolism-related first principal component (MRPC1) and cytotoxic T lymphocyte (CTL) infiltration were used to assess the metabolic and immune infiltration levels of HCC patients, respectively. These two quantifiable indicators were then used to construct an immune‒metabolic classifier, which categorized HCC patients into three distinct groups. The potential biological mechanisms were explored through multiomics analysis, revealing that group S1 exhibited high metabolic activity and a high level of immune infiltration, that group S2 presented a low level of immune infiltration, and that group S3 presented low metabolic activity. This new immune‒metabolic classifier was well validated in a pancancer cohort of 9296 patients. The efficacy of multiple treatment approaches was assessed in relation to different immune‒metabolic groups, indicating that group S1 patients may benefit from immunotherapy, that group S2 patients are suitable for transcatheter arterial chemoembolization (TACE), and that group S3 patients are appropriate candidates for tyrosine kinase inhibitors. In conclusion, this immune‒metabolic classifier is anticipated to address the differences in treatment efficacy among HCC patients due to the heterogeneity of the tumor microenvironment, and to help refine the individualized treatment choices for clinical patients.
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Affiliation(s)
- Wenda Zhang
- Department of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Xinyi Zhou
- Department of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Lili Lin
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China
| | - Anqi Lin
- Department of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Zaoqu Liu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, China
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Jian Zhang
- Department of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
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12
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Benboubker V, Ramzy GM, Jacobs S, Nowak-Sliwinska P. Challenges in validation of combination treatment strategies for CRC using patient-derived organoids. J Exp Clin Cancer Res 2024; 43:259. [PMID: 39261955 PMCID: PMC11389238 DOI: 10.1186/s13046-024-03173-x] [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: 07/17/2024] [Accepted: 08/23/2024] [Indexed: 09/13/2024] Open
Abstract
Patient-derived organoids (PDOs) established from tissues from various tumor types gave the foundation of ex vivo models to screen and/or validate the activity of many cancer drug candidates. Due to their phenotypic and genotypic similarity to the tumor of which they were derived, PDOs offer results that effectively complement those obtained from more complex models. Yet, their potential for predicting sensitivity to combination therapy remains underexplored. In this review, we discuss the use of PDOs in both validation and optimization of multi-drug combinations for personalized treatment strategies in CRC. Moreover, we present recent advancements in enriching PDOs with diverse cell types, enhancing their ability to mimic the complexity of in vivo environments. Finally, we debate how such sophisticated models are narrowing the gap in personalized medicine, particularly through immunotherapy strategies and discuss the challenges and future direction in this promising field.
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Affiliation(s)
- Valentin Benboubker
- Molecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, 1 Rue Michel-Servet, Geneva, 4 1211, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, 1211, Switzerland
- Translational Research Center in Oncohaematology, Geneva, 1211, Switzerland
| | - George M Ramzy
- Molecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, 1 Rue Michel-Servet, Geneva, 4 1211, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, 1211, Switzerland
- Translational Research Center in Oncohaematology, Geneva, 1211, Switzerland
- Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, 1211, Switzerland
| | - Sacha Jacobs
- Molecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, 1 Rue Michel-Servet, Geneva, 4 1211, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, 1211, Switzerland
- Translational Research Center in Oncohaematology, Geneva, 1211, Switzerland
| | - Patrycja Nowak-Sliwinska
- Molecular Pharmacology Group, School of Pharmaceutical Sciences, University of Geneva, 1 Rue Michel-Servet, Geneva, 4 1211, Switzerland.
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, Geneva, 1211, Switzerland.
- Translational Research Center in Oncohaematology, Geneva, 1211, Switzerland.
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13
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Tang X, Xue J, Zhang J, Zhou J. Causal Effect of Immunocytes, Plasma Metabolites, and Hepatocellular Carcinoma: A Bidirectional Two-Sample Mendelian Randomization Study and Mediation Analysis in East Asian Populations. Genes (Basel) 2024; 15:1183. [PMID: 39336774 PMCID: PMC11431556 DOI: 10.3390/genes15091183] [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: 07/16/2024] [Revised: 09/03/2024] [Accepted: 09/07/2024] [Indexed: 09/30/2024] Open
Abstract
Background: Hepatocellular carcinoma (HCC) is a primary malignant liver tumor characterized by a low survival rate and high mortality. This study aimed to investigate the causal effect of immune cell phenotypes, plasma metabolites, and HCC in East Asian populations. Methods: The summary results for 731 immunocytes, 1400 plasma metabolites, and HCCs were acquired from publicly available genome-wide association studies (GWASs). This study utilized two-sample Mendelian randomization (MR) analysis to establish causal relationships, which was achieved by employing various statistical methods including inverse variance-weighted, simple mode, MR-Egger, weighted median, and weighted mode. Multiple sensitivity analyses were conducted to confirm the reliability of the MR data. Ultimately, mediation analysis was employed to ascertain the path that leads from immunocytes to plasma metabolites. Results: Among the 20 immune cells and HCC for East Asians, causal links were found, with one showing an inverse correlation. In addition, 36 metabolites were significantly associated with HCC for East Asians. Through analysis of established causative metabolites, we identified a strong correlation between the glycerophospholipid metabolic pathway and HCC for East Asians. By employing a two-step MR analysis, we identified 11 immunocytes that are causally linked to HCC for East Asians through the mediation of 14 plasma metabolites, with Linolenate [α or γ; (18:3n3 or 6)] levels showing the highest mediation proportion (19.3%). Conclusions: Our findings affirm the causal links among immunocytes, plasma metabolites, and HCC in eastern Asia populations by calculating the percentage of the impact that is influenced by plasma metabolites. This study offers innovative perspectives on the early detection, diagnosis, and therapy of HCC.
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Affiliation(s)
- Xilong Tang
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
- Department of Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
| | - Jianjin Xue
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
- Department of Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
| | - Jie Zhang
- Department of Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
| | - Jiajia Zhou
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
- Department of Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
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14
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Xu L, Liu J, An Y, Zhou L, Sun H, Xu Z, Wang D, Liang Z, Xu C, Wang B, Li W. Glycolysis-related genes predict prognosis and indicate immune microenvironment features in gastric cancer. BMC Cancer 2024; 24:979. [PMID: 39118022 PMCID: PMC11313097 DOI: 10.1186/s12885-024-12747-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 08/01/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Gastric cancer (GC) is a major contributor to cancer-related mortality. Glycolysis plays a pivotal role in tumor microenvironment (TME) reprogramming. In this research, the functions of glycolysis-associated genes (GRGs) were evaluated to predict the outcome and reveal the characteristics of the immune microenvironment in individuals with stomach cancer. METHODS The Cancer Genome Atlas (TCGA)-stomach adenocarcinoma (STAD) cohort provided gene expression and clinical data for gastric cancer (GC) patients, which were further authenticated using datasets sourced from the Gene Expression Omnibus (GEO). By referencing the Molecular Signatures Database (MSigDB), a total of 326 GRGs were pinpointed. The various subtypes of GC were outlined through consensus clustering, derived from the expression patterns of these GRGs. Utilizing multivariate Cox regression analysis, a multigene risk score model was formulated. Both the CIBERSORT and ESTIMATE algorithms played a pivotal role in assessing the immune microenvironment. To delve into the biological functions of the key genes, wound healing, transwell invasion, and MTT assays were conducted. RESULTS Based on the expression patterns of GRGs, patients were categorized into two distinct groups: the metabolic subtype, designated as cluster A, and the immune subtype, labeled as cluster B. Patients belonging to cluster B exhibited a poorer prognosis. A prognostic risk score model, formulated upon the expression levels of six key GRGs - ME1, PLOD2, NUP50, CXCR4, SLC35A3, and SRD35A3 - emerged as a viable tool for predicting patient outcomes. The downregulation of CXCR4 notably diminished the glycolytic capacity of gastric cancer (GC) cells, alongside their migratory, invasive, and proliferative capabilities. Intriguingly, despite the adverse prognostic implications associated with both the immune subtype (cluster B) and the high-risk cohort, these groups exhibited a favorable immune microenvironment coupled with elevated expression of immune checkpoint genes. Our investigations revealed a positive correlation between high CXCR4 expression and low ME1 expression with the infiltration of CD8+ T cells, as well as an enhanced responsiveness to treatment with an anti-PD-1 immune checkpoint inhibitor. CONCLUSIONS In this study, we discovered that the expression profiles of GRGs hold the potential to forecast the prognosis of gastric cancer (GC) patients, thereby possibly aiding in clinical treatment decision-making.
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Affiliation(s)
- Lu Xu
- Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Jin Liu
- Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Yuanqing An
- Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Lei Zhou
- Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Hui Sun
- Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Zhen Xu
- Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Deqiang Wang
- Department of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China
| | - Zhanwen Liang
- Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Caihua Xu
- Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
| | - Bingyi Wang
- Department of Oncology, Changshu No.1 People's Hospital, Suzhou, 215500, China.
| | - Wei Li
- Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
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15
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Han X, Zhu Y, Ke J, Zhai Y, Huang M, Zhang X, He H, Zhang X, Zhao X, Guo K, Li X, Han Z, Zhang Y. Progression of m 6A in the tumor microenvironment: hypoxia, immune and metabolic reprogramming. Cell Death Discov 2024; 10:331. [PMID: 39033180 PMCID: PMC11271487 DOI: 10.1038/s41420-024-02092-2] [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: 12/24/2023] [Revised: 07/03/2024] [Accepted: 07/05/2024] [Indexed: 07/23/2024] Open
Abstract
Recently, N6-methyladenosine (m6A) has aroused widespread discussion in the scientific community as a mode of RNA modification. m6A comprises writers, erasers, and readers, which regulates RNA production, nuclear export, and translation and is very important for human health. A large number of studies have found that the regulation of m6A is closely related to the occurrence and invasion of tumors, while the homeostasis and function of the tumor microenvironment (TME) determine the occurrence and development of tumors to some extent. TME is composed of a variety of immune cells (T cells, B cells, etc.) and nonimmune cells (tumor-associated mesenchymal stem cells (TA-MSCs), cancer-associated fibroblasts (CAFs), etc.). Current studies suggest that m6A is involved in regulating the function of various cells in the TME, thereby affecting tumor progression. In this manuscript, we present the composition of m6A and TME, the relationship between m6A methylation and characteristic changes in TME, the role of m6A methylation in TME, and potential therapeutic strategies to provide new perspectives for better treatment of tumors in clinical work.
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Affiliation(s)
- Xuan Han
- First Clinical College of Changzhi Medical College, Changzhi, China
| | - Yu Zhu
- Linfen Central Hospital, Linfen, China
| | - Juan Ke
- Linfen Central Hospital, Linfen, China
| | | | - Min Huang
- Linfen Central Hospital, Linfen, China
| | - Xin Zhang
- Linfen Central Hospital, Linfen, China
| | | | | | | | | | | | - Zhongyu Han
- School of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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16
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Ramapriyan R, Vykunta VS, Vandecandelaere G, Richardson LGK, Sun J, Curry WT, Choi BD. Altered cancer metabolism and implications for next-generation CAR T-cell therapies. Pharmacol Ther 2024; 259:108667. [PMID: 38763321 DOI: 10.1016/j.pharmthera.2024.108667] [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: 02/16/2024] [Revised: 04/30/2024] [Accepted: 05/14/2024] [Indexed: 05/21/2024]
Abstract
This review critically examines the evolving landscape of chimeric antigen receptor (CAR) T-cell therapy in treating solid tumors, with a particular focus on the metabolic challenges within the tumor microenvironment. CAR T-cell therapy has demonstrated remarkable success in hematologic malignancies, yet its efficacy in solid tumors remains limited. A significant barrier is the hostile milieu of the tumor microenvironment, which impairs CAR T-cell survival and function. This review delves into the metabolic adaptations of cancer cells and their impact on immune cells, highlighting the competition for nutrients and the accumulation of immunosuppressive metabolites. It also explores emerging strategies to enhance CAR T-cell metabolic fitness and persistence, including genetic engineering and metabolic reprogramming. An integrated approach, combining metabolic interventions with CAR T-cell therapy, has the potential to overcome these constraints and improve therapeutic outcomes in solid tumors.
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Affiliation(s)
- Rishab Ramapriyan
- Brain Tumor Immunotherapy Laboratory, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
| | - Vivasvan S Vykunta
- Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; Medical Scientist Training Program, School of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA; Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Gust Vandecandelaere
- Brain Tumor Immunotherapy Laboratory, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Leland G K Richardson
- Brain Tumor Immunotherapy Laboratory, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Jing Sun
- Brain Tumor Immunotherapy Laboratory, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - William T Curry
- Brain Tumor Immunotherapy Laboratory, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Bryan D Choi
- Brain Tumor Immunotherapy Laboratory, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
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Gu Y, Ma E, Jiang S, Shan Z, Xia G, Ma R, Fu J, Wang Z. Immune- and metabolism-related gene signature analysis uncovers the prognostic and immune microenvironments of hepatocellular carcinoma. J Cancer Res Clin Oncol 2024; 150:311. [PMID: 38896142 PMCID: PMC11186947 DOI: 10.1007/s00432-024-05849-5] [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: 04/11/2024] [Accepted: 06/12/2024] [Indexed: 06/21/2024]
Abstract
BACKGROUND Metabolic reprogramming is an emerging hallmark that influences the tumour microenvironment (TME) by regulating the behavior of cancer cells and immune cells. The relationship between metabolism and immunity remains elusive. The purpose of this study was to explore the predictive value of immune- and metabolism-related genes in hepatocellular carcinoma (HCC) and their intricate interplay with TME. METHODS We established the immune- and metabolism-related signature (IMRPS) based on the LIHC cohort from The Cancer Genome Atlas (TCGA) dataset. Kaplan-Meier analysis, receiver operating characteristic (ROC) curve analysis and Cox regression analysis confirmed the prognostic value of IMRPS. We investigated differences in immune cell infiltration, clinical features, and therapeutic response between risk groups. The quantitative real-time PCR (qPCR) was used to confirm the expression of signature genes. Immunohistochemical staining was performed to evaluate immune infiltration features in HCC tissue samples. We conducted cell experiments including gene knockout, cell counting kit-8 (CCK-8), and flow cytometry to explore the role of the IMRPS key gene UCK2 in HCC. RNA-seq was used to further investigate the potential underlying mechanism involved. RESULTS The IMRPS, composed of four genes, SMS, UCK2, PFKFB4 and MAPT, exhibited significant correlations with survival, immune cell infiltration, clinical features, immune checkpoints and therapeutic response. The IMRPS was shown to be an excellent predictor of HCC prognosis. It could stratify patients appropriately and characterize the TME accurately. The high-risk HCC group exhibited an immunosuppressive microenvironment with abundant M2-like macrophage infiltration, which was confirmed by the immunohistochemistry results. The results of qPCR revealed that the expression of signature genes in 20 HCC tissues was significantly greater than that in adjacent normal tissues. After the key gene UCK2 was knocked out, the proliferation of the Huh7 cell line was significantly inhibited, and monocyte-derived macrophages polarized towards an M1-like phenotype in the coculture system. RNA-seq and GSEA suggested that the phenotypes were closely related to the negative regulation of growth and regulation of macrophage chemotaxis. CONCLUSIONS This study established a new IMRS for the accurate prediction of patient prognosis and the TME, which is also helpful for identifying new targets for the treatment of HCC.
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Affiliation(s)
- Yange Gu
- Liver Transplantation Center, General Surgery, Huashan Hospital, Fudan University, Shanghai, China
- Institute of Organ Transplantation, Fudan University, Shanghai, China
| | - Ensi Ma
- Liver Transplantation Center, General Surgery, Huashan Hospital, Fudan University, Shanghai, China
- Institute of Organ Transplantation, Fudan University, Shanghai, China
| | - Shengran Jiang
- Liver Transplantation Center, General Surgery, Huashan Hospital, Fudan University, Shanghai, China
- Institute of Organ Transplantation, Fudan University, Shanghai, China
| | | | - Guixi Xia
- Bengbu Medical University, Bengbu, China
| | - Rui Ma
- Bengbu Medical University, Bengbu, China
| | - Jiaqi Fu
- Bengbu Medical University, Bengbu, China
| | - Zhengxin Wang
- Liver Transplantation Center, General Surgery, Huashan Hospital, Fudan University, Shanghai, China.
- Institute of Organ Transplantation, Fudan University, Shanghai, China.
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Zhang K, Zhu J, Wang P, Chen Y, Wang Z, Ge X, Wu J, Chen L, Lu Y, Xu P, Yao J. Plasma metabolites as mediators in immune cell-pancreatic cancer risk: insights from Mendelian randomization. Front Immunol 2024; 15:1402113. [PMID: 38933268 PMCID: PMC11199692 DOI: 10.3389/fimmu.2024.1402113] [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: 03/16/2024] [Accepted: 05/31/2024] [Indexed: 06/28/2024] Open
Abstract
Background Immune cells play a crucial role in the development and progression of pancreatic cancer, yet the causal relationship remains uncertain due to complex immune microenvironments and conflicting research findings. Mendelian randomization (MR), this study aims to delineate the causal relationships between immune cells and pancreatic cancer while identifying intermediary factors. Methods The genome-wide association study (GWAS) data on immune cells, pancreatic cancer, and plasma metabolites are derived from public databases. In this investigation, inverse variance weighting (IVW) as the primary analytical approach to investigate the causal relationship between exposure and outcome. Furthermore, this study incorporates MR-Egger, simple mode, weighted median, and weighted mode as supplementary analytical approaches. To ensure the reliability of our findings, we further assessed horizontal pleiotropy and heterogeneity and evaluated the stability of MR results using the Leave-one-out method. In conclusion, this study employed mediation analysis to elucidate the potential mediating effects of plasma metabolites. Results Our investigation revealed a causal relationship between immune cells and pancreatic cancer, highlighting the pivotal roles of CD11c+ monocytes (odds ratio, ORIVW=1.105; 95% confidence interval, 95%CI: 1.002-1.218; P=0.045), HLA DR+ CD4+ antigen-presenting cells (ORIVW=0.920; 95%CI: 0.873-0.968; P=0.001), and HLA DR+ CD8br T cells (ORIVW=1.058; 95%CI: 1.002-1.117; P=0.041) in pancreatic cancer progression. Further mediation analysis indicated that oxalate (proportion of mediation effect in total effect: -11.6%, 95% CI: -89.7%, 66.6%) and the mannose to trans-4-hydroxyproline ratio (-19.4, 95% CI: -136%, 96.8%) partially mediate the relationship between HLA DR+ CD8br T cells and pancreatic cancer in nature. In addition, our analysis indicates that adrenate (-8.39%, 95% CI: -18.3%, 1.54%) plays a partial mediating role in the association between CD11c+ monocyte and pancreatic cancer, while cortisone (-26.6%, 95% CI: 138%, -84.8%) acts as a partial mediator between HLA DR+ CD4+ AC and pancreatic cancer. Conclusion This MR investigation provides evidence supporting the causal relationship between immune cell and pancreatic cancer, with plasma metabolites serving as mediators. Identifying immune cell phenotypes with potential causal effects on pancreatic cancer sheds light on its underlying mechanisms and suggests novel therapeutic targets.
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Affiliation(s)
- Ke Zhang
- Dalian Medical University, Dalian, China
| | - Jie Zhu
- Department of Hepatobiliary and Pancreatic Surgery, Northern Jiangsu People’s Hospital Affiliated Yangzhou University, Yangzhou, China
| | - Peng Wang
- Department of Hepatobiliary and Pancreatic Surgery, Northern Jiangsu People’s Hospital Affiliated Yangzhou University, Yangzhou, China
| | - Yuan Chen
- Department of Hepatobiliary and Pancreatic Surgery, Northern Jiangsu People’s Hospital Affiliated Yangzhou University, Yangzhou, China
| | - Zhengwang Wang
- Department of Hepatobiliary and Pancreatic Surgery, Northern Jiangsu People’s Hospital Affiliated Yangzhou University, Yangzhou, China
| | - Xinyu Ge
- Dalian Medical University, Dalian, China
| | - Junqing Wu
- Department of Hepatobiliary and Pancreatic Surgery, Northern Jiangsu People’s Hospital Affiliated Yangzhou University, Yangzhou, China
| | - Long Chen
- Department of Hepatobiliary and Pancreatic Surgery, Northern Jiangsu People’s Hospital Affiliated Yangzhou University, Yangzhou, China
| | - Yipin Lu
- Department of Hepatobiliary and Pancreatic Surgery, Northern Jiangsu People’s Hospital Affiliated Yangzhou University, Yangzhou, China
| | - Peng Xu
- Department of Hepatobiliary and Pancreatic Surgery, Northern Jiangsu People’s Hospital Affiliated Yangzhou University, Yangzhou, China
| | - Jie Yao
- Department of Hepatobiliary and Pancreatic Surgery, Northern Jiangsu People’s Hospital Affiliated Yangzhou University, Yangzhou, China
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Wang Y, Cheng C, Lu Y, Lian Z, Liu Q, Xu Y, Li Y, Li H, Zhang L, Jiang X, Li B, Yu D. β-Catenin Activation Reprograms Ammonia Metabolism to Promote Senescence Resistance in Hepatocellular Carcinoma. Cancer Res 2024; 84:1643-1658. [PMID: 38417136 DOI: 10.1158/0008-5472.can-23-0673] [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: 03/01/2023] [Revised: 11/26/2023] [Accepted: 02/20/2024] [Indexed: 03/01/2024]
Abstract
Hepatocellular carcinoma (HCC) is a typical tumor that undergoes metabolic reprogramming, differing from normal liver tissue in glucose, lipid, nucleic acid, and amino acid metabolism. Although ammonia is a toxic metabolic by-product, it has also been recently recognized as a signaling molecule to activate lipid metabolism, and it can be a nitrogen source for biosynthesis to support tumorigenesis. In this study, we revealed that β-catenin activation increases ammonia production in HCC mainly by stimulating glutaminolysis. β-Catenin/LEF1 activated the transcription of the glutamate dehydrogenase GLUD1, which then promoted ammonia utilization to enhance the production of glutamate, aspartate, and proline as evidenced by 15NH4Cl metabolic flux. β-Catenin/TCF4 induced the transcription of SLC4A11, an ammonia transporter, to excrete excess ammonia. SLC4A11 was upregulated in HCC tumor tissues, and high SLC4A11 expression was associated with poor prognosis and advanced disease stages. Loss of SLC4A11 induced HCC cell senescence in vitro by blocking ammonia excretion and reduced β-catenin-driven tumor growth in vivo. Furthermore, elevated levels of plasma ammonia promoted the progression of β-catenin mutant HCC, which was impeded by SLC4A11 deficiency. Downregulation of SLC4A11 led to ammonia accumulation in tumor interstitial fluid and decreased plasma ammonia levels in HCC with activated β-catenin. Altogether, this study indicates that β-catenin activation reprograms ammonia metabolism and that blocking ammonia excretion by targeting SLC4A11 could be a promising approach to induce senescence in β-catenin mutant HCC. SIGNIFICANCE Ammonia metabolism reprogramming mediated by aberrant activation of β-catenin induces resistance to senescence in HCC and can be targeted by inhibiting SLC4A11 as a potential therapy for β-catenin mutant liver cancer.
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Affiliation(s)
- Ye Wang
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Chunxiao Cheng
- Department of Hepatobiliary, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China
| | - Yanjun Lu
- Department of Hepatobiliary, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China
| | - Zhaowu Lian
- Department of Hepatobiliary, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China
| | - Qi Liu
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Yanchao Xu
- Department of Hepatobiliary, Nanjing Drum Tower Hospital, the Affiliated Hospital of Jiangsu University, Nanjing, China
| | - Yunzheng Li
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Huan Li
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Laizhu Zhang
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Xiang Jiang
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Binghua Li
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Decai Yu
- State Key Laboratory of Pharmaceutical Biotechnology, Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
- Department of Hepatobiliary, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, China
- Department of Hepatobiliary, Nanjing Drum Tower Hospital, the Affiliated Hospital of Jiangsu University, Nanjing, China
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Yu T, Liu Z, Tao Q, Xu X, Li X, Li Y, Chen M, Liu R, Chen D, Wu M, Yu J. Targeting tumor-intrinsic SLC16A3 to enhance anti-PD-1 efficacy via tumor immune microenvironment reprogramming. Cancer Lett 2024; 589:216824. [PMID: 38522774 DOI: 10.1016/j.canlet.2024.216824] [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: 03/17/2024] [Accepted: 03/18/2024] [Indexed: 03/26/2024]
Abstract
Immunotherapy, especially immune checkpoint inhibitors, has revolutionized clinical practice within the last decade. However, primary and secondary resistance to immunotherapy is common in patients with diverse types of cancer. It is well-acknowledged that tumor cells can facilitate the formation of immunosuppressive microenvironments via metabolism reprogramming, and lactic acid, the metabolite of glycolysis, is a significant contributor. SLC16A3 (also named as MCT4) is a transporter mediating lactic acid efflux. In this study, we investigated the role of glycolysis in immunotherapy resistance and aimed to improve the immunotherapy effects via Slc16a3 inhibition. Bioinformatical analysis revealed that the expression of glycolysis-related genes correlated with less CD8+ T cell infiltration and increased myeloid-derived suppressor cells (MDSC) enrichment. We found that high glycolytic activity in tumor cells adversely affected the antitumor immune responses and efficacy of immunotherapy and radiotherapy. As the transporter of lactic acid, SLC16A3 is highly expressed in glycolytic B16-F10 (RRID: CVCL_0159) cells, as well as human non-small cell lung carcinoma. We validated that Slc16a3 expression in tumor cells negatively correlated with anti-PD-1 efficiency. Overexpression of Slc16a3 in tumor cells promoted lactic acid production and efflux, and reduced tumor response to anti-PD-1 inhibitors by inhibiting CD8+ T cell function. Genetic and pharmacological inhibition of Slc16a3 dramatically reduced the glycolytic activity and lactic acid production in tumor cells, and ameliorated the immunosuppressive tumor microenvironments (TMEs), leading to boosted antitumor effects via anti-PD-1 blockade. Our study therefore demonstrates that tumor cell-intrinsic SLC16A3 may be a potential target to reverse tumor resistance to immunotherapy.
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Affiliation(s)
- Ting Yu
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, PR China; Department of Oncology, Shandong University Cancer Center, Jinan, 250117, Shandong, PR China; Tianjin Medical University Cancer Institute &Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, PR China; Cancer Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, PR China
| | - Zhaoyun Liu
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, PR China; Department of Oncology, Shandong University Cancer Center, Jinan, 250117, Shandong, PR China
| | - Qingxu Tao
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, PR China
| | - Xin Xu
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, PR China; Tianjin Medical University Cancer Institute &Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, PR China
| | - Xinyang Li
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, PR China; School of Clinical Medicine, Weifang Medical University, Weifang, Shandong, PR China
| | - Yang Li
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, PR China; Department of Oncology, Shandong University Cancer Center, Jinan, 250117, Shandong, PR China
| | - Minxin Chen
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, PR China; Department of Oncology, Shandong University Cancer Center, Jinan, 250117, Shandong, PR China
| | - Rufei Liu
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, PR China; Department of Oncology, Shandong University Cancer Center, Jinan, 250117, Shandong, PR China
| | - Dawei Chen
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, PR China; Department of Oncology, Shandong University Cancer Center, Jinan, 250117, Shandong, PR China
| | - Meng Wu
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, PR China; Department of Oncology, Shandong University Cancer Center, Jinan, 250117, Shandong, PR China.
| | - Jinming Yu
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong, PR China; Department of Oncology, Shandong University Cancer Center, Jinan, 250117, Shandong, PR China; Research Unit of Radiation Oncology, Chinese Academy of Medical Sciences, Jinan, Shandong, PR China.
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Guo J, Zhao L, Duan M, Yang Z, Zhao H, Liu B, Wang Y, Deng L, Wang C, Jiang X, Jiang X. Demethylases in tumors and the tumor microenvironment: Key modifiers of N 6-methyladenosine methylation. Biomed Pharmacother 2024; 174:116479. [PMID: 38537580 DOI: 10.1016/j.biopha.2024.116479] [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: 12/21/2023] [Revised: 03/09/2024] [Accepted: 03/19/2024] [Indexed: 05/01/2024] Open
Abstract
RNA methylation modifications are widespread in eukaryotes and prokaryotes, with N6-methyladenosine (m6A) the most common among them. Demethylases, including Fat mass and obesity associated gene (FTO) and AlkB homolog 5 (ALKBH5), are important in maintaining the balance between RNA methylation and demethylation. Recent studies have clearly shown that demethylases affect the biological functions of tumors by regulating their m6A levels. However, their effects are complicated, and even opposite results have appeared in different articles. Here, we summarize the complex regulatory networks of demethylases, including the most important and common pathways, to clarify the role of demethylases in tumors. In addition, we describe the relationships between demethylases and the tumor microenvironment, and introduce their regulatory mechanisms. Finally, we discuss evaluation of demethylases for tumor diagnosis and prognosis, as well as the clinical application of demethylase inhibitors, providing a strong basis for their large-scale clinical application in the future.
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Affiliation(s)
- Junchen Guo
- Departmentof Radiology, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning 110032, China
| | - Liang Zhao
- Department of Anorectal Surgery, Shenyang Anorectal Hospital, Shenyang, Liaoning 110002, China
| | - Meiqi Duan
- Department of General Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning 110032, China
| | - Zhi Yang
- Department of General Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning 110032, China
| | - He Zhao
- Department of General Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning 110032, China
| | - Baiming Liu
- Department of General Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning 110032, China
| | - Yihan Wang
- Department of General Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning 110032, China
| | - Liping Deng
- Department of General Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning 110032, China
| | - Chen Wang
- Department of General Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning 110032, China
| | - Xiaodi Jiang
- Department of Infectious Diseases, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110002, China.
| | - Xiaofeng Jiang
- Department of General Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning 110032, 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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Chen J, Zhang L, Zhu Y, Zhao D, Zhang J, Zhu Y, Pang J, Xiao Y, Wu Q, Wang Y, Zhan Q. AKT2 S128/CCTα S315/319/323-positive cancer-associated fibroblasts (CAFs) mediate focal adhesion kinase (FAK) inhibitors resistance via secreting phosphatidylcholines (PCs). Signal Transduct Target Ther 2024; 9:21. [PMID: 38280862 PMCID: PMC10821909 DOI: 10.1038/s41392-023-01728-6] [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: 07/07/2023] [Revised: 10/26/2023] [Accepted: 12/10/2023] [Indexed: 01/29/2024] Open
Abstract
Abnormal metabolism is regarded as an oncogenic hallmark related to tumor progression and therapeutic resistance. Present study employed multi-omics, including phosphoproteomics, untargeted metabolomics and lipidomics, to demonstrate that the pAKT2 Ser128 and pCCTα Ser315/319/323-positive cancer-associated fibroblasts (CAFs) substantially release phosphatidylcholines (PCs), contributing to the resistance of focal adhesion kinase (FAK) inhibitors in esophageal squamous cell carcinoma (ESCC) treatment. Additionally, we observed extremely low levels of FAK Tyr397 expression in CAFs, potentially offering no available target for FAK inhibitors playing their anti-growth role in CAFs. Consequently, FAK inhibitor increased the intracellular concentration of Ca2+ in CAFs, promoting the formation of AKT2/CCTα complex, leading to phosphorylation of CCTα Ser315/319/323 sites and eventually enhancing stromal PC production. This activation could stimulate the intratumoral Janus kinase 2 (JAK2)/Signal transducer and activator of transcription 3 (STAT3) pathway, triggering resistance to FAK inhibition. Analysis of clinical samples demonstrated that stromal pAKT2 Ser128 and pCCTα Ser315/319/323 are related to the tumor malignancy and reduced patient survival. Pseudo-targeted lipidomics and further validation cohort quantitatively showed that plasma PCs enable to distinguish the malignant extent of ESCC patients. In conclusion, inhibition of stroma-derived PCs and related pathway could be possible therapeutic strategies for tumor therapy.
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Affiliation(s)
- Jie Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, 100142, Beijing, China.
- Peking University International Cancer Institute, Peking University, 100191, Beijing, China.
- Research Unit of Molecular Cancer Research, Chinese Academy of Medical Sciences, Beijing, China.
- Soochow University Cancer Institute, Suzhou, 215000, China.
| | - Lingyuan Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, 100142, Beijing, China
- Peking University International Cancer Institute, Peking University, 100191, Beijing, China
- Research Unit of Molecular Cancer Research, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuheng Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, 100142, Beijing, China
| | - Di Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, 100142, Beijing, China
- Peking University International Cancer Institute, Peking University, 100191, Beijing, China
- Research Unit of Molecular Cancer Research, Chinese Academy of Medical Sciences, Beijing, China
| | - Jing Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, 100142, Beijing, China
- Peking University International Cancer Institute, Peking University, 100191, Beijing, China
- Research Unit of Molecular Cancer Research, Chinese Academy of Medical Sciences, Beijing, China
| | - Yanmeng Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, 100142, Beijing, China
- Peking University International Cancer Institute, Peking University, 100191, Beijing, China
- Research Unit of Molecular Cancer Research, Chinese Academy of Medical Sciences, Beijing, China
| | - Jingyuan Pang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, 100142, Beijing, China
| | - Yuanfan Xiao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, 100142, Beijing, China
- Peking University International Cancer Institute, Peking University, 100191, Beijing, China
- Research Unit of Molecular Cancer Research, Chinese Academy of Medical Sciences, Beijing, China
| | - Qingnan Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, 100142, Beijing, China
- Peking University International Cancer Institute, Peking University, 100191, Beijing, China
- Research Unit of Molecular Cancer Research, Chinese Academy of Medical Sciences, Beijing, China
| | - Yan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, 100142, Beijing, China
- Peking University International Cancer Institute, Peking University, 100191, Beijing, China
- Research Unit of Molecular Cancer Research, Chinese Academy of Medical Sciences, Beijing, China
| | - Qimin Zhan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, 100142, Beijing, China.
- Peking University International Cancer Institute, Peking University, 100191, Beijing, China.
- Research Unit of Molecular Cancer Research, Chinese Academy of Medical Sciences, Beijing, China.
- Soochow University Cancer Institute, Suzhou, 215000, China.
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, 518107, China.
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Luo K, Zhao H, Wang M, Tian M, Si N, Xia W, Song J, Chen Y, Wang L, Zhang Y, Wei X, Li X, Qin G, Yang J, Wang H, Bian B, Zhou Y. Huanglian Jiedu Wan intervened with "Shi-Re Shanghuo" syndrome through regulating immune balance mediated by biomarker succinate. Clin Immunol 2024; 258:109861. [PMID: 38065370 DOI: 10.1016/j.clim.2023.109861] [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: 08/30/2023] [Revised: 11/14/2023] [Accepted: 11/25/2023] [Indexed: 12/18/2023]
Abstract
With increasing stress in daily life and work, subhealth conditions induced by "Shi-Re Shanghuo" syndrome was gradually universal. "Huanglian Jiedu Wan" (HLJDW) was the first new syndrome Chinese medicine approved for the treatment of "Shi-Re Shanghuo" with promising clinical efficacy. Preliminary small-sample clinical studies have identified some notable biomarkers (succinate, 4-hydroxynonenal, etc.). However, the correlation and underlying mechanism between these biomarkers of HLJDW intervention on "Shi-Re Shanghuo" syndrome remained ambiguous. Therefore, this study was designed as a randomized, double-blind, multicenter, placebo-controlled Phase II clinical trial, employing integrated analysis techniques such as non-targeted and targeted metabolomics, salivary microbiota, proteomics, parallel peaction monitoring, molecular docking and surface plasmon resonance (SPR). The results of the correlation analysis indicated that HLJDW could mediate the balance between inflammation and immunity through succinate produced via host and microbial source to intervene "Shi-Re Shanghuo" syndrome. Further through the HIF1α/MMP9 pathway, succinate regulated downstream arachidonic acid metabolism, particularly the lipid peroxidation product 4-hydroxynonenal. Finally, an animal model of recurrent oral ulcers induced by "Shi-Re Shang Huo" was established and HLJDW was used for intervention, key essential indicators (succinate, glutamine, 4-hydroxynonenal, arachidonic acid metabolism) essential in the potential pathway HIF1α/MMP9 discovered in clinical practice were validated. The results were found to be consistent with our clinical findings. Taken together, succinate was observed as an important signal that triggered immune responses, which might serve as a key regulatory metabolic switch or marker of "Shi-Re Shanghuo" syndrome treated with HLJDW.
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Affiliation(s)
- Keke Luo
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Haiyu Zhao
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Mengxiao Wang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Mengyao Tian
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Nan Si
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Wen Xia
- Guizhou Bailing Group Pharmaceutical Co., Ltd., Anshun 561000, China
| | - Jianfang Song
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau, China
| | - Yunqin Chen
- Guizhou Bailing Group Pharmaceutical Co., Ltd., Anshun 561000, China
| | - Linna Wang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Yan Zhang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Xiaolu Wei
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Xing Li
- Guizhou Bailing Group Pharmaceutical Co., Ltd., Anshun 561000, China
| | - Guangyuan Qin
- Guizhou Bailing Group Pharmaceutical Co., Ltd., Anshun 561000, China
| | - Jiaying Yang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Hongjie Wang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
| | - Baolin Bian
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
| | - Yanyan Zhou
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
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25
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Li X, Lei J, Shi Y, Peng Z, Gong M, Shu X. Developing a RiskScore Model based on Angiogenesis-related lncRNAs for Colon Adenocarcinoma Prognostic Prediction. Curr Med Chem 2024; 31:2449-2466. [PMID: 37961859 DOI: 10.2174/0109298673277243231108071620] [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: 08/29/2023] [Revised: 10/25/2023] [Accepted: 10/31/2023] [Indexed: 11/15/2023]
Abstract
AIM We screened key angiogenesis-related lncRNAs based on colon adenocarcinoma (COAD) to construct a RiskScore model for predicting COAD prognosis and help reveal the pathogenesis of the COAD as well as optimize clinical treatment. BACKGROUND Regulatory roles of lncRNAs in tumor progression and prognosis have been confirmed, but few studies have probed into the role of angiogenesis-related lncRNAs in COAD. OBJECTIVE To identify key angiogenesis-related lncRNAs and build a RiskScore model to predict the survival probability of COAD patients and help optimize clinical treatment. METHODS Sample data were collected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. The HALLMARK pathway score in the samples was calculated using the single sample gene set enrichment analysis (ssGSEA) method. LncRNAs associated with angiogenesis were filtered by an integrated pipeline algorithm. LncRNA-based subtypes were classified by ConsensusClusterPlus and then compared with other established subtypes. A RiskScore model was created based on univariate Cox, least absolute shrinkage and selection operator (LASSO) regression and stepwise regression analysis. The Kaplan-Meier curve was drawn by applying R package survival. The time-dependent ROC curves were drawn by the timeROC package. Finally, immunotherapy benefits and drug sensitivity were analyzed using tumor immune dysfunction and exclusion (TIDE) software and pRRophetic package. RESULTS Pathway analysis showed that the angiogenesis pathway was a risk factor affecting the prognosis of COAD patients. A total of 66 lncRNAs associated with angiogenesis were screened, and three molecular subtypes (S1, S2, S3) were obtained. The prognosis of S1 and S2 was better than that of S3. Compared with the existing subtypes, the S3 subtype was significantly different from the other two subtypes. Immunoassay showed that immune cell scores of the S2 subtype were lower than those of the S1 and S3 subtypes, which also had the highest TIDE scores. We recruited 8 key lncRNAs to develop a RiskScore model. The high RiskScore group with inferior survival and higher TIDE scores was predicted to benefit limitedly from immunotherapy, but it may be more sensitive to chemotherapeutics. A nomogram designed by RiskScore signature and other clinicopathological characteristics shed light on rational predictive power for COAD treatment. CONCLUSION We constructed a RiskScore model based on angiogenesis-related lncRNAs, which could serve as potential prognostic predictors for COAD patients and may offer clues for the intervention of anti-angiogenic application. Our results may help evaluate the prognosis of COAD and provide better treatment strategies.
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Affiliation(s)
- Xianguo Li
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China
| | - Junping Lei
- Department of General Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441021, China
| | - Yongping Shi
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China
| | - Zuojie Peng
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China
| | - Minmin Gong
- Department of General Surgery, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, 441021, China
| | - Xiaogang Shu
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China
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26
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Guo Y, Yan S, Zhang W. Translatomics to explore dynamic differences in immunocytes in the tumor microenvironment. MOLECULAR THERAPY. NUCLEIC ACIDS 2023; 34:102037. [PMID: 37808922 PMCID: PMC10551571 DOI: 10.1016/j.omtn.2023.102037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Protein is an essential component of all living organisms and is primarily responsible for life activities; furthermore, its synthesis depends on a highly complex and accurate translation system. For proteins, the regulation at the translation level exceeds the sum of that during transcription, mRNA degradation, and protein degradation. Therefore, it is necessary to study regulation at the translation level. Imbalance in the translation process may change the cellular landscape, which not only leads to the occurrence, maintenance, progression, invasion, and metastasis of cancer but also affects the function of immune cells and changes the tumor microenvironment. Detailed analysis of transcriptional and protein atlases is needed to better understand how gene translation occurs. However, a more rigorous direct correlation between mRNA and protein levels is needed, which somewhat limits further studies. Translatomics is a technique for capturing and sequencing ribosome-related mRNAs that can effectively identify translation changes caused by ribosome stagnation and local translation abnormalities during cancer occurrence to further understand the changes in the translation landscape of cancer cells themselves and immune cells in the tumor microenvironment, which can provide new strategies and directions for tumor treatment.
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Affiliation(s)
- Yilin Guo
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, P.R. China
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, P.R. China
| | - Shiqi Yan
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, P.R. China
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, P.R. China
| | - Wenling Zhang
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, P.R. China
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, P.R. China
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27
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Fan P, Zhang N, Candi E, Agostini M, Piacentini M, Shi Y, Huang Y, Melino G. Alleviating hypoxia to improve cancer immunotherapy. Oncogene 2023; 42:3591-3604. [PMID: 37884747 DOI: 10.1038/s41388-023-02869-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/07/2023] [Accepted: 10/10/2023] [Indexed: 10/28/2023]
Abstract
Tumor hypoxia resulting from abnormal and dysfunctional tumor vascular network poses a substantial obstacle to immunotherapy. In fact, hypoxia creates an immunosuppressive tumor microenvironment (TME) through promoting angiogenesis, metabolic reprogramming, extracellular matrix remodeling, epithelial-mesenchymal transition (EMT), p53 inactivation, and immune evasion. Vascular normalization, a strategy aimed at restoring the structure and function of tumor blood vessels, has been shown to improve oxygen delivery and reverse hypoxia-induced signaling pathways, thus alleviates hypoxia and potentiates cancer immunotherapy. In this review, we discuss the mechanisms of tumor tissue hypoxia and its impacts on immune cells and cancer immunotherapy, as well as the approaches to induce tumor vascular normalization. We also summarize the evidence supporting the use of vascular normalization in combination with cancer immunotherapy, and highlight the challenges and future directions of this overlooked important field. By targeting the fundamental problem of tumor hypoxia, vascular normalization proposes a promising strategy to enhance the efficacy of cancer immunotherapy and improve clinical outcomes for cancer patients.
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Affiliation(s)
- Peng Fan
- Department of Experimental Medicine, TOR, University of Rome Tor Vergata, 00133, Rome, Italy
- National Clinical Research Center for Hematologic Diseases, Cyrus Tang Medical Institute, Collaborative Innovation Center of Hematology, State Key Laboratory of Radiation Medicine and Prevention, Soochow University, 215123, Suzhou, China
| | - Naidong Zhang
- National Clinical Research Center for Hematologic Diseases, Cyrus Tang Medical Institute, Collaborative Innovation Center of Hematology, State Key Laboratory of Radiation Medicine and Prevention, Soochow University, 215123, Suzhou, China
| | - Eleonora Candi
- Department of Experimental Medicine, TOR, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Massimiliano Agostini
- Department of Experimental Medicine, TOR, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Mauro Piacentini
- Department of Experimental Medicine, TOR, University of Rome Tor Vergata, 00133, Rome, Italy
| | - Yufang Shi
- The First Affiliated Hospital of Soochow University, Institutes for Translational Medicine, State Key Laboratory of Radiation Medicine and Protection, Suzhou Medical College of Soochow University, 215123, Suzhou, China.
| | - Yuhui Huang
- National Clinical Research Center for Hematologic Diseases, Cyrus Tang Medical Institute, Collaborative Innovation Center of Hematology, State Key Laboratory of Radiation Medicine and Prevention, Soochow University, 215123, Suzhou, China.
| | - Gerry Melino
- Department of Experimental Medicine, TOR, University of Rome Tor Vergata, 00133, Rome, Italy.
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28
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Zheng Y, Yao Y, Ge T, Ge S, Jia R, Song X, Zhuang A. Amino acid metabolism reprogramming: shedding new light on T cell anti-tumor immunity. J Exp Clin Cancer Res 2023; 42:291. [PMID: 37924140 PMCID: PMC10623764 DOI: 10.1186/s13046-023-02845-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 09/28/2023] [Indexed: 11/06/2023] Open
Abstract
Metabolic reprogramming of amino acids has been increasingly recognized to initiate and fuel tumorigenesis and survival. Therefore, there is emerging interest in the application of amino acid metabolic strategies in antitumor therapy. Tremendous efforts have been made to develop amino acid metabolic node interventions such as amino acid antagonists and targeting amino acid transporters, key enzymes of amino acid metabolism, and common downstream pathways of amino acid metabolism. In addition to playing an essential role in sustaining tumor growth, new technologies and studies has revealed amino acid metabolic reprograming to have wide implications in the regulation of antitumor immune responses. Specifically, extensive crosstalk between amino acid metabolism and T cell immunity has been reported. Tumor cells can inhibit T cell immunity by depleting amino acids in the microenvironment through nutrient competition, and toxic metabolites of amino acids can also inhibit T cell function. In addition, amino acids can interfere with T cells by regulating glucose and lipid metabolism. This crucial crosstalk inspires the exploitation of novel strategies of immunotherapy enhancement and combination, owing to the unprecedented benefits of immunotherapy and the limited population it can benefit. Herein, we review recent findings related to the crosstalk between amino acid metabolism and T cell immunity. We also describe possible approaches to intervene in amino acid metabolic pathways by targeting various signaling nodes. Novel efforts to combine with and unleash potential immunotherapy are also discussed. Hopefully, some strategies that take the lead in the pipeline may soon be used for the common good.
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Affiliation(s)
- Yue Zheng
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 20025, P. R. China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 20025, P. R. China
| | - Yiran Yao
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 20025, P. R. China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 20025, P. R. China
| | - Tongxin Ge
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 20025, P. R. China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 20025, P. R. China
| | - Shengfang Ge
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 20025, P. R. China
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 20025, P. R. China
| | - Renbing Jia
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 20025, P. R. China.
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 20025, P. R. China.
| | - Xin Song
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 20025, P. R. China.
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 20025, P. R. China.
| | - Ai Zhuang
- Department of Ophthalmology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 20025, P. R. China.
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, 20025, P. R. China.
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29
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Wang M, Yu F, Li P. Noncoding RNAs as an emerging resistance mechanism to immunotherapies in cancer: basic evidence and therapeutic implications. Front Immunol 2023; 14:1268745. [PMID: 37767098 PMCID: PMC10520974 DOI: 10.3389/fimmu.2023.1268745] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 08/30/2023] [Indexed: 09/29/2023] Open
Abstract
The increasing knowledge in the field of oncoimmunology has led to extensive research into tumor immune landscape and a plethora of clinical immunotherapy trials in cancer patients. Immunotherapy has become a clinically beneficial alternative to traditional treatments by enhancing the power of the host immune system against cancer. However, it only works for a minority of cancers. Drug resistance continues to be a major obstacle to the success of immunotherapy in cancer. A fundamental understanding of the detailed mechanisms underlying immunotherapy resistance in cancer patients will provide new potential directions for further investigations of cancer treatment. Noncoding RNAs (ncRNAs) are tightly linked with cancer initiation and development due to their critical roles in gene expression and epigenetic modulation. The clear appreciation of the role of ncRNAs in tumor immunity has opened new frontiers in cancer research and therapy. Furthermore, ncRNAs are increasingly acknowledged as a key factor influencing immunotherapeutic treatment outcomes. Here, we review the available evidence on the roles of ncRNAs in immunotherapy resistance, with an emphasis on the associated mechanisms behind ncRNA-mediated immune resistance. The clinical implications of immune-related ncRNAs are also discussed, shedding light on the potential ncRNA-based therapies to overcome the resistance to immunotherapy.
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Affiliation(s)
- Man Wang
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, China
| | | | - Peifeng Li
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao, China
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Xiong Z, Chan SL, Zhou J, Vong JSL, Kwong TT, Zeng X, Wu H, Cao J, Tu Y, Feng Y, Yang W, Wong PPC, Si-Tou WWY, Liu X, Wang J, Tang W, Liang Z, Lu J, Li KM, Low JT, Chan MWY, Leung HHW, Chan AWH, To KF, Yip KYL, Lo YMD, Sung JJY, Cheng ASL. Targeting PPAR-gamma counteracts tumour adaptation to immune-checkpoint blockade in hepatocellular carcinoma. Gut 2023; 72:1758-1773. [PMID: 37019619 PMCID: PMC10423534 DOI: 10.1136/gutjnl-2022-328364] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 03/21/2023] [Indexed: 04/07/2023]
Abstract
OBJECTIVE Therapy-induced tumour microenvironment (TME) remodelling poses a major hurdle for cancer cure. As the majority of patients with hepatocellular carcinoma (HCC) exhibits primary or acquired resistance to antiprogrammed cell death (ligand)-1 (anti-PD-[L]1) therapies, we aimed to investigate the mechanisms underlying tumour adaptation to immune-checkpoint targeting. DESIGN Two immunotherapy-resistant HCC models were generated by serial orthotopic implantation of HCC cells through anti-PD-L1-treated syngeneic, immunocompetent mice and interrogated by single-cell RNA sequencing (scRNA-seq), genomic and immune profiling. Key signalling pathway was investigated by lentiviral-mediated knockdown and pharmacological inhibition, and further verified by scRNA-seq analysis of HCC tumour biopsies from a phase II trial of pembrolizumab (NCT03419481). RESULTS Anti-PD-L1-resistant tumours grew >10-fold larger than parental tumours in immunocompetent but not immunocompromised mice without overt genetic changes, which were accompanied by intratumoral accumulation of myeloid-derived suppressor cells (MDSC), cytotoxic to exhausted CD8+ T cell conversion and exclusion. Mechanistically, tumour cell-intrinsic upregulation of peroxisome proliferator-activated receptor-gamma (PPARγ) transcriptionally activated vascular endothelial growth factor-A (VEGF-A) production to drive MDSC expansion and CD8+ T cell dysfunction. A selective PPARγ antagonist triggered an immune suppressive-to-stimulatory TME conversion and resensitised tumours to anti-PD-L1 therapy in orthotopic and spontaneous HCC models. Importantly, 40% (6/15) of patients with HCC resistant to pembrolizumab exhibited tumorous PPARγ induction. Moreover, higher baseline PPARγ expression was associated with poorer survival of anti-PD-(L)1-treated patients in multiple cancer types. CONCLUSION We uncover an adaptive transcriptional programme by which tumour cells evade immune-checkpoint targeting via PPARγ/VEGF-A-mediated TME immunosuppression, thus providing a strategy for counteracting immunotherapeutic resistance in HCC.
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Affiliation(s)
- Zhewen Xiong
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Stephen Lam Chan
- Department of Clinical Oncology, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Hong Kong, China
- State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong, China
| | - Jingying Zhou
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Joaquim S L Vong
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Department of Chemical Pathology, The Chinese University of Hong Kong, Hong Kong, China
| | - Tsz Tung Kwong
- Department of Clinical Oncology, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Hong Kong, China
| | - Xuezhen Zeng
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Haoran Wu
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Jianquan Cao
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Yalin Tu
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Yu Feng
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Weiqin Yang
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Patrick Pak-Chun Wong
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Willis Wai-Yiu Si-Tou
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Xiaoyu Liu
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Jing Wang
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Wenshu Tang
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Zhixian Liang
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Jiahuan Lu
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong, China
| | - Ka Man Li
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Jie-Ting Low
- Department of Biomedical Sciences, National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan
| | - Michael Wing-Yan Chan
- Department of Biomedical Sciences, National Chung Cheng University, Min-Hsiung, Chia-Yi, Taiwan
| | - Howard H W Leung
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong, China
| | - Anthony W H Chan
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong, China
| | - Ka-Fai To
- State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong, China
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong, China
| | - Kevin Yuk-Lap Yip
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Yuk Ming Dennis Lo
- State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Department of Chemical Pathology, The Chinese University of Hong Kong, Hong Kong, China
| | - Joseph Jao-Yiu Sung
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- State Key Laboratory of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China
| | - Alfred Sze-Lok Cheng
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
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Luo K, Qian Z, Jiang Y, Lv D, Zhu K, Shao J, Hu Y, Lv C, Huang Q, Gao Y, Jin S, Shang D. Characterization of the metabolic alteration-modulated tumor microenvironment mediated by TP53 mutation and hypoxia. Comput Biol Med 2023; 163:107078. [PMID: 37356294 DOI: 10.1016/j.compbiomed.2023.107078] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/08/2023] [Accepted: 05/27/2023] [Indexed: 06/27/2023]
Abstract
BACKGROUND TP53 mutation and hypoxia play an essential role in cancer progression. However, the metabolic reprogramming and tumor microenvironment (TME) heterogeneity mediated by them are still not fully understood. METHODS The multi-omics data of 32 cancer types and immunotherapy cohorts were acquired to comprehensively characterize the metabolic reprogramming pattern and the TME across cancer types and explore immunotherapy candidates. An assessment model for metabolic reprogramming was established by integration of multiple machine learning methods, including lasso regression, neural network, elastic network, and survival support vector machine (SVM). Pharmacogenomics analysis and in vitro assay were conducted to identify potential therapeutic drugs. RESULTS First, we identified metabolic subtype A (hypoxia-TP53 mutation subtype) and metabolic subtype B (non-hypoxia-TP53 wildtype subtype) in hepatocellular carcinoma (HCC) and showed that metabolic subtype A had an "immune inflamed" microenvironment. Next, we established an assessment model for metabolic reprogramming, which was more effective compared to the traditional prognostic indicators. Then, we identified a potential targeting drug, teniposide. Finally, we performed the pan-cancer analysis to illustrate the role of metabolic reprogramming in cancer and found that the metabolic alteration (MA) score was positively correlated with tumor mutational burden (TMB), neoantigen load, and homologous recombination deficiency (HRD) across cancer types. Meanwhile, we demonstrated that metabolic reprogramming mediated a potential immunotherapy-sensitive microenvironment in bladder cancer and validated it in an immunotherapy cohort. CONCLUSION Metabolic alteration mediated by hypoxia and TP53 mutation is associated with TME modulation and tumor progression across cancer types. In this study, we analyzed the role of metabolic alteration in cancer and propose a predictive model for cancer prognosis and immunotherapy responsiveness. We also explored a potential therapeutic drug, teniposide.
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Affiliation(s)
- Kunpeng Luo
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and lmaging Artificial Intelligence, Hengyang Medical School, University of South China Hengyang, Hunan, 421001, China; School of Computer, University of South China, Hengyang, Hunan, 421001, China; Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China.
| | - Zhipeng Qian
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and lmaging Artificial Intelligence, Hengyang Medical School, University of South China Hengyang, Hunan, 421001, China; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Yanan Jiang
- Department of Pharmacology (State-Province Key Laboratories of Biomedicine- Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang, 150081, China; Translational Medicine Research and Cooperation Center of Northern China, Heilongjiang Academy of Medical Sciences, Harbin, Heilongjiang, 150081, China
| | - Dongxu Lv
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Kaibin Zhu
- Department of Thoracic Surgery, Harbin Medical University Cancer Hospital, No. 150, Haping Road, Harbin, Heilongjiang, 150081, China
| | - Jing Shao
- Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Ying Hu
- Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Chengqian Lv
- Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Qianqian Huang
- Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Yang Gao
- Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China
| | - Shizhu Jin
- Department of Gastroenterology and Hepatology, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150081, China.
| | - Desi Shang
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and lmaging Artificial Intelligence, Hengyang Medical School, University of South China Hengyang, Hunan, 421001, China; School of Computer, University of South China, Hengyang, Hunan, 421001, China; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, 150081, China.
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Sun Q, Hong Z, Zhang C, Wang L, Han Z, Ma D. Immune checkpoint therapy for solid tumours: clinical dilemmas and future trends. Signal Transduct Target Ther 2023; 8:320. [PMID: 37635168 PMCID: PMC10460796 DOI: 10.1038/s41392-023-01522-4] [Citation(s) in RCA: 201] [Impact Index Per Article: 100.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 05/11/2023] [Accepted: 05/28/2023] [Indexed: 08/29/2023] Open
Abstract
Immune-checkpoint inhibitors (ICBs), in addition to targeting CTLA-4, PD-1, and PD-L1, novel targeting LAG-3 drugs have also been approved in clinical application. With the widespread use of the drug, we must deeply analyze the dilemma of the agents and seek a breakthrough in the treatment prospect. Over the past decades, these agents have demonstrated dramatic efficacy, especially in patients with melanoma and non-small cell lung cancer (NSCLC). Nonetheless, in the field of a broad concept of solid tumours, non-specific indications, inseparable immune response and side effects, unconfirmed progressive disease, and complex regulatory networks of immune resistance are four barriers that limit its widespread application. Fortunately, the successful clinical trials of novel ICB agents and combination therapies, the advent of the era of oncolytic virus gene editing, and the breakthrough of the technical barriers of mRNA vaccines and nano-delivery systems have made remarkable breakthroughs currently. In this review, we enumerate the mechanisms of each immune checkpoint targets, associations between ICB with tumour mutation burden, key immune regulatory or resistance signalling pathways, the specific clinical evidence of the efficacy of classical targets and new targets among different tumour types and put forward dialectical thoughts on drug safety. Finally, we discuss the importance of accurate triage of ICB based on recent advances in predictive biomarkers and diagnostic testing techniques.
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Affiliation(s)
- Qian Sun
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Zhenya Hong
- Department of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Cong Zhang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Liangliang Wang
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Zhiqiang Han
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
| | - Ding Ma
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
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Margul D, Yu C, AlHilli MM. Tumor Immune Microenvironment in Gynecologic Cancers. Cancers (Basel) 2023; 15:3849. [PMID: 37568665 PMCID: PMC10417375 DOI: 10.3390/cancers15153849] [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: 06/07/2023] [Revised: 07/23/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
Gynecologic cancers have varying response rates to immunotherapy due to the heterogeneity of each cancer's molecular biology and features of the tumor immune microenvironment (TIME). This article reviews key features of the TIME and its role in the pathophysiology and treatment of ovarian, endometrial, cervical, vulvar, and vaginal cancer. Knowledge of the role of the TIME in gynecologic cancers has been rapidly developing with a large body of preclinical studies demonstrating an intricate yet dichotomous role that the immune system plays in either supporting the growth of cancer or opposing it and facilitating effective treatment. Many targets and therapeutics have been identified including cytokines, antibodies, small molecules, vaccines, adoptive cell therapy, and bacterial-based therapies but most efforts in gynecologic cancers to utilize them have not been effective. However, with the development of immune checkpoint inhibitors, we have started to see the rapid and successful employment of therapeutics in cervical and endometrial cancer. There remain many challenges in utilizing the TIME, particularly in ovarian cancer, and further studies are needed to identify and validate efficacious therapeutics.
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Affiliation(s)
| | | | - Mariam M. AlHilli
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Cleveland Clinic, Cleveland, OH 44195, USA; (D.M.); (C.Y.)
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Li X, Gong Y, Zhang Q, Ni X, Pang Q, Chi Y, Jiajue R, Cui L, Jiang X, Wang O, Xing X, Jiang Y, Li M, Xia W. Ultra-High Performance Liquid Chromatography-Mass Spectrometry-based Serum Metabolomics for Early Diagnosis of Refractory Tumor-induced Osteomalacia: A Case-control Study. J Clin Endocrinol Metab 2023; 108:2016-2023. [PMID: 36718510 DOI: 10.1210/clinem/dgad034] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 01/14/2023] [Accepted: 01/17/2023] [Indexed: 02/01/2023]
Abstract
CONTEXT Nearly 20% patients with tumor-induced osteomalacia (TIO) experienced recurrence or nonrecovery after surgery. Serum fibroblast growth factor 23 and phosphate concentrations are not sufficient for prognosis in such cases. Despite its importance for understanding of prognosis and underlying pathogenesis, the alteration of systemic metabolism in refractory TIO remains unclear. OBJECTIVE We aimed to find the metabolomic characteristics of refractory TIO and establish a novel predictive model for early discriminating refractory TIO based on their serum metabolomics. DESIGN AND SETTING Cross-section study for comparison of metabolomic profile between TIO and normal control and longitudinal study for identifying prognostic model. METHODS Based on liquid chromatography-tandem mass spectrometry, we analyzed the global metabolomes of preoperative sera from 86 samples (32 TIO recovery patients, 11 nonremission patients, and 43 matched controls). Statistical analyses, pathway enrichment, and receiver operating characteristic analysis were performed to identified and evaluate potential markers. RESULTS Sparse partial least squares discriminant analysis indicated a clear separation of metabolomic profiles between healthy controls (HC) and TIO patients. The serum metabolites altered in different prognostic groups. L-pipecolic acid, 2-dodecylbenzenesulfonic acid, and 2-deoxygalactopyranose were the top 3 metabolites that were significantly perturbed. A combination of L-pipecolic acid and 2-dodecylbenzenesulfonic acid demonstrated a high-performance panel for TIO prognosis evaluated by random forest algorithm (area under the curve = 0.921, 95% CI, 0.787-0.995). CONCLUSIONS We investigate the global metabolomes of refractory TIO and identify potential prognostic biomarkers preliminarily. A high sensitivity and specificity panel were identified as promising discriminating predictors, which need to be verified in more patients. This work may demonstrate novel insights into TIO prognosis and pathogenesis.
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Affiliation(s)
- Xiang Li
- Department of Endocrinology, Key Laboratory of Endocrinology, National Commission of Health, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yiyi Gong
- Department of Endocrinology, Key Laboratory of Endocrinology, National Commission of Health, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
- Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Qi Zhang
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Xiaolin Ni
- Department of Endocrinology, Key Laboratory of Endocrinology, National Commission of Health, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Qianqian Pang
- Department of Endocrinology, Key Laboratory of Endocrinology, National Commission of Health, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yue Chi
- Department of Endocrinology, Key Laboratory of Endocrinology, National Commission of Health, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Ruizhi Jiajue
- Department of Endocrinology, Key Laboratory of Endocrinology, National Commission of Health, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Lijia Cui
- Department of Endocrinology, Key Laboratory of Endocrinology, National Commission of Health, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Xu Jiang
- Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing 100730, China
| | - Ou Wang
- Department of Endocrinology, Key Laboratory of Endocrinology, National Commission of Health, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Xiaoping Xing
- Department of Endocrinology, Key Laboratory of Endocrinology, National Commission of Health, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Yan Jiang
- Department of Endocrinology, Key Laboratory of Endocrinology, National Commission of Health, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Mei Li
- Department of Endocrinology, Key Laboratory of Endocrinology, National Commission of Health, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Weibo Xia
- Department of Endocrinology, Key Laboratory of Endocrinology, National Commission of Health, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
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Wang L, Yang Z, Guo F, Chen Y, Wei J, Dai X, Zhang X. Research progress of biomarkers in the prediction of anti-PD-1/PD-L1 immunotherapeutic efficiency in lung cancer. Front Immunol 2023; 14:1227797. [PMID: 37465684 PMCID: PMC10351040 DOI: 10.3389/fimmu.2023.1227797] [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: 05/23/2023] [Accepted: 06/13/2023] [Indexed: 07/20/2023] Open
Abstract
Currently, anti-PD-1/PD-L1 immunotherapy using immune checkpoint inhibitors is widely used in the treatment of multiple cancer types including lung cancer, which is a leading cause of cancer death in the world. However, only a limited proportion of lung cancer patients will benefit from anti-PD-1/PD-L1 therapy. Therefore, it is of importance to predict the response to immunotherapy for the precision treatment of patients. Although the expression of PD-L1 and tumor mutation burden (TMB) are commonly used to predict the clinical response of anti-PD-1/PD-L1 therapy, other factors such as tumor-specific genes, dMMR/MSI, and gut microbiome are also promising predictors for immunotherapy in lung cancer. Furthermore, invasive peripheral blood biomarkers including blood DNA-related biomarkers (e.g., ctDNA and bTMB), blood cell-related biomarkers (e.g., immune cells and TCR), and other blood-related biomarkers (e.g., soluble PD-L1 and cytokines) were utilized to predict the immunotherapeutic response. In this review, the current achievements of anti-PD-1/PD-L1 therapy and the potential biomarkers for the prediction of anti-PD-1/PD-L1 immunotherapy in lung cancer treatment were summarized and discussed.
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Affiliation(s)
- Luyao Wang
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, First Hospital of Jilin University, Changchun, China
- National-Local Joint Engineering Laboratory of Animal Models for Human Disease, First Hospital of Jilin University, Changchun, China
| | - Zongxing Yang
- Department of Clinical Laboratory, First Hospital of Jilin University, Changchun, China
| | - Fucheng Guo
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, First Hospital of Jilin University, Changchun, China
- National-Local Joint Engineering Laboratory of Animal Models for Human Disease, First Hospital of Jilin University, Changchun, China
| | - Yurong Chen
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, First Hospital of Jilin University, Changchun, China
- National-Local Joint Engineering Laboratory of Animal Models for Human Disease, First Hospital of Jilin University, Changchun, China
| | - Jiarui Wei
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, First Hospital of Jilin University, Changchun, China
- National-Local Joint Engineering Laboratory of Animal Models for Human Disease, First Hospital of Jilin University, Changchun, China
| | - Xiangpeng Dai
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, First Hospital of Jilin University, Changchun, China
- National-Local Joint Engineering Laboratory of Animal Models for Human Disease, First Hospital of Jilin University, Changchun, China
| | - Xiaoling Zhang
- Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, First Hospital of Jilin University, Changchun, China
- National-Local Joint Engineering Laboratory of Animal Models for Human Disease, First Hospital of Jilin University, Changchun, China
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Chen HH, Hao PH, Zhang FY, Zhang TN. Non-coding RNAs in metabolic reprogramming of bone and soft tissue sarcoma: Fundamental mechanism and clinical implication. Biomed Pharmacother 2023; 160:114346. [PMID: 36738505 DOI: 10.1016/j.biopha.2023.114346] [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: 12/26/2022] [Revised: 01/27/2023] [Accepted: 01/29/2023] [Indexed: 02/05/2023] Open
Abstract
Sarcomas, comprising approximately 1% of human malignancies, show a poor response to treatment and easy recurrence. Metabolic reprogramming play an important role in tumor development in sarcomas. Accumulating evidence shows that non-coding RNAs (ncRNAs) participate in regulating the cellular metabolism of sarcomas, which improves the understanding of the development of therapy-resistant tumors. This review addresses the regulatory roles of metabolism-related ncRNAs and their implications for sarcoma initiation and progression. Dysregulation of metabolism-related ncRNAs is common in sarcomas and is associated with poor survival. Emerging studies show that abnormal expression of metabolism-related ncRNAs affects cellular metabolism, including glucose, lipid, and mitochondrial metabolism, and leads to the development of aggressive sarcomas. This review summarizes recent advances in the roles of dysregulated metabolism-related ncRNAs in sarcoma development and stemness and describes their potential to serve as biological biomarkers for disease diagnosis and prognosis prediction, as well as therapeutic targets for treating refractory sarcomas.
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Affiliation(s)
- Huan-Huan Chen
- Department of Oncology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China.
| | - Peng-Hui Hao
- Department of Pediatrics, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China.
| | - Fang-Yuan Zhang
- Department of General Surgery, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China.
| | - Tie-Ning Zhang
- Department of Pediatrics, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning 110004, China.
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Bailleux C, Chardin D, Gal J, Guigonis JM, Lindenthal S, Graslin F, Arnould L, Cagnard A, Ferrero JM, Humbert O, Pourcher T. Metabolomic Signatures of Scarff-Bloom-Richardson (SBR) Grade in Non-Metastatic Breast Cancer. Cancers (Basel) 2023; 15:cancers15071941. [PMID: 37046602 PMCID: PMC10093598 DOI: 10.3390/cancers15071941] [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: 02/06/2023] [Revised: 03/19/2023] [Accepted: 03/21/2023] [Indexed: 04/14/2023] Open
Abstract
PURPOSE Identification of metabolomic biomarkers of high SBR grade in non-metastatic breast cancer. METHODS This retrospective bicentric metabolomic analysis included a training set (n = 51) and a validation set (n = 49) of breast cancer tumors, all classified as high-grade (grade III) or low-grade (grade I-II). Metabolomes of tissue samples were studied by liquid chromatography coupled with mass spectrometry. RESULTS A molecular signature of the top 12 metabolites was identified from a database of 602 frequently predicted metabolites. Partial least squares discriminant analyses showed that accuracies were 0.81 and 0.82, the R2 scores were 0.57 and 0.55, and the Q2 scores were 0.44431 and 0.40147 for the training set and validation set, respectively; areas under the curve for the Receiver Operating Characteristic Curve were 0.882 and 0.886. The most relevant metabolite was diacetylspermine. Metabolite set enrichment analyses and metabolic pathway analyses highlighted the tryptophan metabolism pathway, but the concentration of individual metabolites varied between tumor samples. CONCLUSIONS This study indicates that high-grade invasive tumors are related to diacetylspermine and tryptophan metabolism, both involved in the inhibition of the immune response. Targeting these pathways could restore anti-tumor immunity and have a synergistic effect with immunotherapy. Recent studies could not demonstrate the effectiveness of this strategy, but the use of theragnostic metabolomic signatures should allow better selection of patients.
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Affiliation(s)
- Caroline Bailleux
- Laboratory Transporter in Imaging and Radiotherapy in Oncology (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Fréderic Joliot, Commissariat à l'Energie Atomique et aux Énergies Alternatives (CEA), Université Côte d'Azur (UCA), 06100 Nice, France
- Medical Oncology Department, Centre Antoine Lacassagne, University Côte d'Azur, 06189 Nice, France
| | - David Chardin
- Laboratory Transporter in Imaging and Radiotherapy in Oncology (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Fréderic Joliot, Commissariat à l'Energie Atomique et aux Énergies Alternatives (CEA), Université Côte d'Azur (UCA), 06100 Nice, France
- Department of Nuclear Medicine, Antoine Lacassagne Centre, 06189 Nice, France
| | - Jocelyn Gal
- Department of Epidemiology and Biostatistics, Antoine Lacassagne Centre, University of Côte d'Azur, 06189 Nice, France
| | - Jean-Marie Guigonis
- Laboratory Transporter in Imaging and Radiotherapy in Oncology (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Fréderic Joliot, Commissariat à l'Energie Atomique et aux Énergies Alternatives (CEA), Université Côte d'Azur (UCA), 06100 Nice, France
| | - Sabine Lindenthal
- Laboratory Transporter in Imaging and Radiotherapy in Oncology (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Fréderic Joliot, Commissariat à l'Energie Atomique et aux Énergies Alternatives (CEA), Université Côte d'Azur (UCA), 06100 Nice, France
| | - Fanny Graslin
- Laboratory Transporter in Imaging and Radiotherapy in Oncology (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Fréderic Joliot, Commissariat à l'Energie Atomique et aux Énergies Alternatives (CEA), Université Côte d'Azur (UCA), 06100 Nice, France
- Department of Nuclear Medicine, Antoine Lacassagne Centre, 06189 Nice, France
| | - Laurent Arnould
- Department of Tumour Biology and Pathology, Georges-François Leclerc Centre, 21079 Dijon, France
- Cenre de Ressources Biologiques (CRB) Ferdinand Cabanne, 21000 Dijon, France
| | - Alexandre Cagnard
- Laboratory Transporter in Imaging and Radiotherapy in Oncology (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Fréderic Joliot, Commissariat à l'Energie Atomique et aux Énergies Alternatives (CEA), Université Côte d'Azur (UCA), 06100 Nice, France
| | - Jean-Marc Ferrero
- Medical Oncology Department, Centre Antoine Lacassagne, University Côte d'Azur, 06189 Nice, France
| | - Olivier Humbert
- Laboratory Transporter in Imaging and Radiotherapy in Oncology (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Fréderic Joliot, Commissariat à l'Energie Atomique et aux Énergies Alternatives (CEA), Université Côte d'Azur (UCA), 06100 Nice, France
- Department of Nuclear Medicine, Antoine Lacassagne Centre, 06189 Nice, France
| | - Thierry Pourcher
- Laboratory Transporter in Imaging and Radiotherapy in Oncology (TIRO), Direction de la Recherche Fondamentale (DRF), Institut des Sciences du Vivant Fréderic Joliot, Commissariat à l'Energie Atomique et aux Énergies Alternatives (CEA), Université Côte d'Azur (UCA), 06100 Nice, France
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Yang J, Zeng L, Chen R, Zheng S, Zhou Y, Chen R. Characterization of heterogeneous metabolism in hepatocellular carcinoma identifies new therapeutic target and treatment strategy. Front Immunol 2023; 14:1076587. [PMID: 37006288 PMCID: PMC10060979 DOI: 10.3389/fimmu.2023.1076587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 02/08/2023] [Indexed: 03/18/2023] Open
Abstract
BackgroundMetabolic reprogramming is a well-known hallmark of cancer. Systematical identification of clinically relevant metabolic subtypes of Hepatocellular carcinoma (HCC) is critical to understand tumor heterogeneity and develop efficient treatment strategies.MethodsWe performed an integrative analysis of genomic, transcriptomic, and clinical data from an HCC patient cohort in The Cancer Genome Atlas (TCGA).ResultsFour metabolic subtypes were defined: mHCC1, mHHC2, mHCC3, and mHCC4. These subtypes had distinct differences in mutations profiles, activities of metabolic pathways, prognostic metabolism genes, and immune features. The mHCC1 was associated with poorest outcome and was characterized by extensive metabolic alterations, abundant immune infiltration, and increased expression of immunosuppressive checkpoints. The mHHC2 displayed lowest metabolic alteration level and was associated with most significant improvement in overall survival in response to high CD8+ T cell infiltration. The mHHC3 was a “cold-tumor” with low immune infiltration and few metabolic alterations. The mHCC4 presented a medium degree of metabolic alteration and high CTNNB1 mutation rate. Based on our HCC classification and in vitro study, we identified palmitoyl-protein thioesterase 1 (PPT1) was a specific prognostic gene and therapeutic target for mHCC1.ConclusionOur study highlighted mechanistic differences among metabolic subtypes and identified potential therapeutic targets for subtype-specific treatment strategies targeting unique metabolic vulnerabilities. The immune heterogeneities across metabolic subtypes may help further clarify the association between metabolism and immune environment and guide the development of novel strategies through targeting both unique metabolic vulnerabilities and immunosuppressive triggers.
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Affiliation(s)
- Jiabin Yang
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- Department of Pancreatic Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Liangtang Zeng
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- Department of Pancreatic Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ruiwan Chen
- Department of Radiation Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shangyou Zheng
- Department of Pancreatic Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yu Zhou
- Department of Pancreatic Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- *Correspondence: Rufu Chen, ; Yu Zhou,
| | - Rufu Chen
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, China
- Department of Pancreatic Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- *Correspondence: Rufu Chen, ; Yu Zhou,
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Liu S, Li Y, Yuan M, Song Q, Liu M. Correlation between the Warburg effect and progression of triple-negative breast cancer. Front Oncol 2023; 12:1060495. [PMID: 36776368 PMCID: PMC9913723 DOI: 10.3389/fonc.2022.1060495] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 12/06/2022] [Indexed: 01/28/2023] Open
Abstract
Triple-negative breast cancer (TNBC) is ineligible for hormonal therapy and Her-2-targeted therapy due to the negative expression of the estrogen receptor, progesterone receptor, and human epidermal growth factor receptor-2. Although targeted therapy and immunotherapy have been shown to attenuate the aggressiveness of TNBC partially, few patients have benefited from them. The conventional treatment for TNBC remains chemotherapy. Chemoresistance, however, impedes therapeutic progress over time, and chemotherapy toxicity increases the burden of cancer on patients. Therefore, introducing more advantageous TNBC treatment options is a necessity. Metabolic reprogramming centered on glucose metabolism is considered a hallmark of tumors. It is described as tumor cells tend to convert glucose to lactate even under normoxic conditions, a phenomenon known as the Warburg effect. Similar to Darwinian evolution, its emergence is attributed to the selective pressures formed by the hypoxic microenvironment of pre-malignant lesions. Of note, the Warburg effect does not disappear with changes in the microenvironment after the formation of malignant tumor phenotypes. Instead, it forms a constitutive expression mediated by mutations or epigenetic modifications, providing a robust selective survival advantage for primary and metastatic lesions. Expanding evidence has demonstrated that the Warburg effect mediates multiple invasive behaviors in TNBC, including proliferation, metastasis, recurrence, immune escape, and multidrug resistance. Moreover, the Warburg effect-targeted therapy has been testified to be feasible in inhibiting TNBC progression. However, not all TNBCs are sensitive to glycolysis inhibitors because TNBC cells flexibly switch their metabolic patterns to cope with different survival pressures, namely metabolic plasticity. Between the Warburg effect-targeted medicines and the actual curative effect, metabolic plasticity creates a divide that must be continuously researched and bridged.
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Affiliation(s)
| | | | | | - Qing Song
- *Correspondence: Min Liu, ; Qing Song,
| | - Min Liu
- *Correspondence: Min Liu, ; Qing Song,
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Xu Y, Xia Z, Sun X, Wei B, Fu Y, Shi D, Zhu Y. Identification of a glutamine metabolism reprogramming signature for predicting prognosis, immunotherapy efficacy, and drug candidates in bladder cancer. Front Immunol 2023; 14:1111319. [PMID: 36911676 PMCID: PMC9995899 DOI: 10.3389/fimmu.2023.1111319] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/14/2023] [Indexed: 02/25/2023] Open
Abstract
Background Bladder cancer is the most common malignancy of the urinary system. However, patient prognosis and treatment outcomes in bladder cancer are difficult to predict owing to high tumor heterogeneity. Given that abnormal glutamine metabolism has been identified as a key factor driving the progression of bladder cancer, it is necessary to assess the prognosis and therapeutic efficacy of bladder cancer treatments based on an analysis of glutamine metabolism-related genes. Methods We used bladder cancer sample data downloaded from The Cancer Genome Atlas to identify glutamine metabolism-related genes as prognostic markers, and established a novel Glutamine Metabolism Immunity Index (GMII) based on univariate and multivariate COX regression analyses. On the basis of GMII values, bladder cancer patients were divided into high- and low-risk groups, and systematic analysis was conducted for clinical features, somatic mutations, immune cell infiltration, chemotherapeutic response, and immunotherapeutic efficacy. Candidate small-molecule drugs targeting the GMII core target proteins were identified based on molecular docking analysis. Results The GMII consisting of eight independent prognostic genes was established to be an excellent tool for predicting the survival in patients with bladder cancer and was validated using multiple datasets. Compared with patients in the high-risk group, those in the low-risk group had significantly better responses to gemcitabine and immune checkpoint blockade. In addition, we predicted 12 potential small-molecule drugs that could bind to three of the GMII core target proteins. Conclusions The GMII can be used to accurately predict the prognosis and immunotherapeutic response of bladder cancer patients, as well as candidate small-molecule drugs. Furthermore, the novel "Glutamine Metabolism-related Gene"-guided strategy for predicting survival and chemo-immunotherapeutic efficacy may also be applicable for cancers other than bladder cancer.
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Affiliation(s)
- Yan Xu
- Department of Urology, The First Hospital of China Medical University, Shenyang, China
| | - Zhixiu Xia
- Colorectal Tumor Surgery Ward, Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiaoyu Sun
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China
| | - Baojun Wei
- Department of Urology, The First Hospital of China Medical University, Shenyang, China
| | - Yang Fu
- Department of Urology, The First Hospital of China Medical University, Shenyang, China
| | - Du Shi
- Department of Urology, The First Hospital of China Medical University, Shenyang, China
| | - Yuyan Zhu
- Department of Urology, The First Hospital of China Medical University, Shenyang, China
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De Martino M, Daviaud C, Hajjar E, Vanpouille-Box C. Fatty acid metabolism and radiation-induced anti-tumor immunity. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2023; 376:121-141. [PMID: 36997267 DOI: 10.1016/bs.ircmb.2023.01.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Fatty acid metabolic reprogramming has emerged as a major regulator of anti-tumor immune responses with large body of evidence that demonstrate its ability to impact the differentiation and function of immune cells. Therefore, depending on the metabolic cues that stem in the tumor microenvironment, the tumor fatty acid metabolism can tilt the balance of inflammatory signals to either promote or impair anti-tumor immune responses. Oxidative stressors such as reactive oxygen species generated from radiation therapy can rewire the tumor energy supply, suggesting that radiation therapy can further perturb the energy metabolism of a tumor by promoting fatty acid production. In this review, we critically discuss the network of fatty acid metabolism and how it regulates immune response especially in the context of radiation therapy.
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Rizwi FA, Abubakar M, Puppala ER, Goyal A, Bhadrawamy CV, Naidu VGM, Roshan S, Tazneem B, Almalki WH, Subramaniyan V, Rawat S, Gupta G. Janus Kinase-Signal Transducer and Activator of Transcription Inhibitors for the Treatment and Management of Cancer. J Environ Pathol Toxicol Oncol 2023; 42:15-29. [PMID: 37522565 DOI: 10.1615/jenvironpatholtoxicoloncol.2023045403] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Abstract
According to the World Health Organization (WHO), cancer is the second-highest cause of mortality worldwide, killing nearly 9.6 million people annually. Despite the advances in diagnosis and treatment during the last couple of decades, it remains a serious concern due to the limitations of currently available cancer management strategies. Therefore, alternative strategies are highly required to overcome these glitches. In addition, many etiological factors such as environmental and genetic factors initiate the activation of the Janus kinase (JAK)-signal transducer and activator of the transcription (STAT) pathway. This aberrant activation of the JAK-STAT pathway has been reported in various disease states, including inflammatory conditions, hematologic malignancies, and cancer. For instance, many patients with myeloproliferative neoplasms carry the acquired gain-of-function JAK2 V617F somatic mutation. This knowledge has dramatically improved our understanding of pathogenesis and has facilitated the development of therapeutics capable of suppressing the constitutive activation of the JAK-STAT pathway. Our aim is not to be expansive but to highlight emerging ideas towards preventive therapy in a modern view of JAK-STAT inhibitors. A series of agents with different specificities against different members of the JAK family of proteins is currently undergoing evaluation in clinical trials. Here we give a summary of how JAK-STAT inhibitors function and a detailed review of current clinical drugs for managing cancer as a new therapeutic approach.
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Affiliation(s)
- Fahim Anwar Rizwi
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research-Guwahati, Sila Katamur, Halugurisuk P.O-Changsari, Kamrup, Assam, India-781101
| | - Md Abubakar
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research-Guwahati, Sila Katamur, Halugurisuk P.O-Changsari, Kamrup, Assam, India-781101
| | - Eswara Rao Puppala
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research-Guwahati, Sila Katamur, Halugurisuk P.O-Changsari, Kamrup, Assam, India-781101
| | - Ahsas Goyal
- Institute of Pharmaceutical Research, GLA University, Mathura, U.P., India
| | - Ch Veera Bhadrawamy
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research-Guwahati, Sila Katamur, Halugurisuk P.O-Changsari, Kamrup, Assam, India-781101
| | - V G M Naidu
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research-Guwahati, Sila Katamur, Halugurisuk P.O-Changsari, Kamrup, Assam, India-781101
| | - S Roshan
- Deccan School of Pharmacy, Hyderabad, India
| | - B Tazneem
- Deccan School of Pharmacy, Hyderabad, India
| | - Waleed Hassan Almalki
- Department of Pharmacology and Toxicology, College of Pharmacy, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Vetriselvan Subramaniyan
- Pharmacology Unit, Jeffrey Cheah School of Medicine and Health Sciences, MONASH University, Malaysia
| | - Sushama Rawat
- Nirma University, Institute of Pharmacy, Ahmedabad, Gujarat 382481, India; School of Pharmacy, Suresh Gyan Vihar University, Mahal Road, Jagatpura 302017, Jaipur, India
| | - Gaurav Gupta
- School of Pharmacy, Suresh Gyan Vihar University, Mahal Road, Jagatpura 302017, Jaipur, India; Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India; Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, India
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The Effect of Oxidative Phosphorylation on Cancer Drug Resistance. Cancers (Basel) 2022; 15:cancers15010062. [PMID: 36612059 PMCID: PMC9817696 DOI: 10.3390/cancers15010062] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/10/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
Recent studies have shown that oxidative phosphorylation (OXPHOS) is a target for the effective attenuation of cancer drug resistance. OXPHOS inhibitors can improve treatment responses to anticancer therapy in certain cancers, such as melanomas, lymphomas, colon cancers, leukemias and pancreatic ductal adenocarcinoma (PDAC). However, the effect of OXPHOS on cancer drug resistance is complex and associated with cell types in the tumor microenvironment (TME). Cancer cells universally promote OXPHOS activity through the activation of various signaling pathways, and this activity is required for resistance to cancer therapy. Resistant cancer cells are prevalent among cancer stem cells (CSCs), for which the main metabolic phenotype is increased OXPHOS. CSCs depend on OXPHOS to survive targeting by anticancer drugs and can be selectively eradicated by OXPHOS inhibitors. In contrast to that in cancer cells, mitochondrial OXPHOS is significantly downregulated in tumor-infiltrating T cells, impairing antitumor immunity. In this review, we summarize novel research showing the effect of OXPHOS on cancer drug resistance, thereby explaining how this metabolic process plays a dual role in cancer progression. We highlight the underlying mechanisms of metabolic reprogramming in cancer cells, as it is vital for discovering new drug targets.
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Chae HS, Hong ST. Overview of Cancer Metabolism and Signaling Transduction. Int J Mol Sci 2022; 24:12. [PMID: 36613455 PMCID: PMC9819818 DOI: 10.3390/ijms24010012] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/13/2022] [Accepted: 12/17/2022] [Indexed: 12/24/2022] Open
Abstract
Despite the remarkable progress in cancer treatment up to now, we are still far from conquering the disease. The most substantial change after the malignant transformation of normal cells into cancer cells is the alteration in their metabolism. Cancer cells reprogram their metabolism to support the elevated energy demand as well as the acquisition and maintenance of their malignancy, even in nutrient-poor environments. The metabolic alterations, even under aerobic conditions, such as the upregulation of the glucose uptake and glycolysis (the Warburg effect), increase the ROS (reactive oxygen species) and glutamine dependence, which are the prominent features of cancer metabolism. Among these metabolic alterations, high glutamine dependency has attracted serious attention in the cancer research community. In addition, the oncogenic signaling pathways of the well-known important genetic mutations play important regulatory roles, either directly or indirectly, in the central carbon metabolism. The identification of the convergent metabolic phenotypes is crucial to the targeting of cancer cells. In this review, we investigate the relationship between cancer metabolism and the signal transduction pathways, and we highlight the recent developments in anti-cancer therapy that target metabolism.
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Affiliation(s)
- Hee-Suk Chae
- Department of Obstetrics and Gynecology, Research Institute of Clinical Medicine of Jeonbuk National University, Biomedical Research Institute of Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju 561-712, Jeonnbuk, Republic of Korea
| | - Seong-Tshool Hong
- Department of Biomedical Sciences, Jeonbuk National University Medical School, Jeonju 561-712, Jeonnbuk, Republic of Korea
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Zhang Y, Qin H, Bian J, Ma Z, Yi H. SLC2As as diagnostic markers and therapeutic targets in LUAD patients through bioinformatic analysis. Front Pharmacol 2022; 13:1045179. [PMID: 36518662 PMCID: PMC9742449 DOI: 10.3389/fphar.2022.1045179] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 11/14/2022] [Indexed: 11/05/2023] Open
Abstract
Facilitative glucose transporters (GLUTs), which are encoded by solute carrier 2A (SLC2A) genes, are responsible for mediating glucose absorption. In order to meet their higher energy demands, cancer cells are more likely than normal tissue cells to have elevated glucose transporters. Multiple pathogenic processes, such as cancer and immunological disorders, have been linked to GLUTs. Few studies, meanwhile, have been conducted on individuals with lung adenocarcinoma (LUAD) to evaluate all 14 SLC2A genes. We first identified increased protein levels of SLC2A1, SLC2A5, SLC2A6, and SLC2A9 via HPA database and downregulated mRNA levels of SLC2A3, SLC2A6, SLC2A9, and SLC2A14 by ONCOMINE and UALCAN databases in patients with LUAD. Additionally, lower levels of SLC2A3, SLC2A6, SLC2A9, SLC2A12, and SLC2A14 and higher levels of SLC2A1, SLC2A5, SLC2A10, and SLC2A11 had an association with advanced tumor stage. SLC2A1, SLC2A7, and SLC2A11 were identified as prognostic signatures for LUAD. Kaplan-Meier analysis, Univariate Cox regression, multivariate Cox regression and ROC analyses further revealed that these three genes signature was a novel and important prognostic factor. Mechanistically, the aberrant expression of these molecules was caused, in part, by the hypomethylation of SLC2A3, SLC2A10, and SLC2A14 and by the hypermethylation of SLC2A1, SLC2A2, SLC2A5, SLC2A6, SLC2A7, and SLC2A11. Additionally, SLC2A3, SLC2A5, SLC2A6, SLC2A9, and SLC2A14 contributed to LUAD by positively modulating M2 macrophage and T cell exhaustion. Finally, pathways involving SLC2A1/BUB1B/mitotic cell cycle, SLC2A5/CD86/negative regulation of immune system process, SLC2A6/PLEK/lymphocyte activation, SLC2A9/CD4/regulation of cytokine production might participate in the pathogenesis of LUAD. In summary, our results will provide the theoretical basis on SLC2As as diagnostic markers and therapeutic targets in LUAD.
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Affiliation(s)
- Yanli Zhang
- Central Laboratory, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Organ Regeneration and Transplantation, Ministry of Education, Changchun, Jilin, China
- Echocardiography Department, The First Hospital of Jilin University, Changchun, China
| | - Han Qin
- Central Laboratory, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Organ Regeneration and Transplantation, Ministry of Education, Changchun, Jilin, China
| | - Jing Bian
- Department of Respiratory Medicine, The First Hospital of Jilin University, Changchun, China
| | - Zhanchuan Ma
- Central Laboratory, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Organ Regeneration and Transplantation, Ministry of Education, Changchun, Jilin, China
| | - Huanfa Yi
- Central Laboratory, The First Hospital of Jilin University, Changchun, China
- Key Laboratory of Organ Regeneration and Transplantation, Ministry of Education, Changchun, Jilin, China
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Warburg effect in colorectal cancer: the emerging roles in tumor microenvironment and therapeutic implications. J Hematol Oncol 2022; 15:160. [PMID: 36319992 PMCID: PMC9628128 DOI: 10.1186/s13045-022-01358-5] [Citation(s) in RCA: 132] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 09/26/2022] [Indexed: 11/07/2022] Open
Abstract
Colorectal cancer (CRC) is the third most common cancer and the second leading cause of cancer-related death worldwide. Countless CRC patients undergo disease progression. As a hallmark of cancer, Warburg effect promotes cancer metastasis and remodels the tumor microenvironment, including promoting angiogenesis, immune suppression, cancer-associated fibroblasts formation and drug resistance. Targeting Warburg metabolism would be a promising method for the treatment of CRC. In this review, we summarize information about the roles of Warburg effect in tumor microenvironment to elucidate the mechanisms governing Warburg effect in CRC and to identify novel targets for therapy.
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Moss DY, McCann C, Kerr EM. Rerouting the drug response: Overcoming metabolic adaptation in KRAS-mutant cancers. Sci Signal 2022; 15:eabj3490. [PMID: 36256706 DOI: 10.1126/scisignal.abj3490] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Mutations in guanosine triphosphatase KRAS are common in lung, colorectal, and pancreatic cancers. The constitutive activity of mutant KRAS and its downstream signaling pathways induces metabolic rewiring in tumor cells that can promote resistance to existing therapeutics. In this review, we discuss the metabolic pathways that are altered in response to treatment and those that can, in turn, alter treatment efficacy, as well as the role of metabolism in the tumor microenvironment (TME) in dictating the therapeutic response in KRAS-driven cancers. We highlight metabolic targets that may provide clinical opportunities to overcome therapeutic resistance and improve survival in patients with these aggressive cancers.
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Affiliation(s)
- Deborah Y Moss
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, BT9 7AE Northern Ireland, UK
| | - Christopher McCann
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, BT9 7AE Northern Ireland, UK
| | - Emma M Kerr
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, BT9 7AE Northern Ireland, UK
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Tao L, Ding X, Yan L, Xu G, Zhang P, Ji A, Zhang L. CD36 accelerates the progression of hepatocellular carcinoma by promoting FAs absorption. MEDICAL ONCOLOGY (NORTHWOOD, LONDON, ENGLAND) 2022; 39:202. [PMID: 36175596 DOI: 10.1007/s12032-022-01808-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 07/22/2022] [Indexed: 12/24/2022]
Abstract
CD36 is emerging as a potential strategy for cancer treatment because of its function of regulating fatty acid intake. The purpose of this study was to clarify the molecular mechanism of CD36 in the progression of HCC. TCGA database was used to analyze the relationship of CD36 with HCC. The expression of CD36 in HCC clinical samples and cell lines was detected by qRT-PCR and western blot. Huh7 cells and HCCLM3 cells were transfected and treated into different group. CCK-8 and clone formation assay were used to detect the cell proliferation ability. Wound healing and transwell experiment were used to detect the metastatic ability. HCC xenografts were constructed in nude mice by subcutaneous injection of stably transfected Huh7 cells. The expression of CD36 in HCC was detected by immunohistochemistry (IHC). The contents of phospholipids and triglycerides in HCC cells were detected by ELISA. And the content of neutral lipids in HCC cells was detected by staining with BODIPY 493/503 and DAPI dye. Then transcriptional sequencing was used to determine the downstream mechanism of CD36 in HCC, and the differentially expressed genes (DEGs) were analyzed. CD36 was upregulated in HCC. Knockdown of CD36 could suppress the proliferation and metastasis of HCC in vitro and in vivo by regulating FAs intake in HCC. In addition, the expression of AKR1C2 was suppressed by sh-CD36, and which was also involved in the regulation of FAs intake. The molecular mechanism by which CD36 accelerated the progression of HCC was to promote the expression of AKR1C2 and thus enhance fatty acids (FAs) intake.
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Affiliation(s)
- Lide Tao
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hanjiang Middle Road, Yangzhou, 225012, China
| | - Xiangmin Ding
- Department of Hepatobiliary Pancreatic Surgery, Subei People's Hospital of Jiangsu Province, Yangzhou, China
| | - Lele Yan
- Department of Hepatobiliary Pancreatic Surgery, Subei People's Hospital of Jiangsu Province, Yangzhou, China
| | - Guangcai Xu
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hanjiang Middle Road, Yangzhou, 225012, China
| | - Peijian Zhang
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hanjiang Middle Road, Yangzhou, 225012, China
| | - Anlai Ji
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hanjiang Middle Road, Yangzhou, 225012, China
| | - Lihong Zhang
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368, Hanjiang Middle Road, Yangzhou, 225012, China.
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Aria H, Rezaei M, Nazem S, Daraei A, Nikfar G, Mansoori B, Bahmanyar M, Tavassoli A, Vakil MK, Mansoori Y. Purinergic receptors are a key bottleneck in tumor metabolic reprogramming: The prime suspect in cancer therapeutic resistance. Front Immunol 2022; 13:947885. [PMID: 36072596 PMCID: PMC9444135 DOI: 10.3389/fimmu.2022.947885] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 08/04/2022] [Indexed: 11/13/2022] Open
Abstract
ATP and other nucleoside phosphates have specific receptors named purinergic receptors. Purinergic receptors and ectonucleotidases regulate various signaling pathways that play a role in physiological and pathological processes. Extracellular ATP in the tumor microenvironment (TME) has a higher level than in normal tissues and plays a role in cancer cell growth, survival, angiogenesis, metastasis, and drug resistance. In this review, we investigated the role of purinergic receptors in the development of resistance to therapy through changes in tumor cell metabolism. When a cell transforms to neoplasia, its metabolic processes change. The metabolic reprogramming modified metabolic feature of the TME, that can cause impeding immune surveillance and promote cancer growth. The purinergic receptors contribute to therapy resistance by modifying cancer cells' glucose, lipid, and amino acid metabolism. Limiting the energy supply of cancer cells is one approach to overcoming resistance. Glycolysis inhibitors which reduce intracellular ATP levels may make cancer cells more susceptible to anti-cancer therapies. The loss of the P2X7R through glucose intolerance and decreased fatty acid metabolism reduces therapeutic resistance. Potential metabolic blockers that can be employed in combination with other therapies will aid in the discovery of new anti-cancer immunotherapy to overcome therapy resistance. Therefore, therapeutic interventions that are considered to inhibit cancer cell metabolism and purinergic receptors simultaneously can potentially reduce resistance to treatment.
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Affiliation(s)
- Hamid Aria
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Marzieh Rezaei
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Shima Nazem
- Department of Laboratory Medicine, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Abdolreza Daraei
- Department of Medical Genetics, School of Medicine, Babol University of Medical Sciences, Babol, Iran
| | - Ghasem Nikfar
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Behnam Mansoori
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Maryam Bahmanyar
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Alireza Tavassoli
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Mohammad Kazem Vakil
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Yaser Mansoori
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
- Department of Medical Genetics, Fasa University of Medical Sciences, Fasa, Iran
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Huang Y, Ouyang F, Yang F, Zhang N, Zhao W, Xu H, Yang X. The expression of Hexokinase 2 and its hub genes are correlated with the prognosis in glioma. BMC Cancer 2022; 22:900. [PMID: 35982398 PMCID: PMC9386956 DOI: 10.1186/s12885-022-10001-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/10/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Hexokinase 2 (HK2) is an enzyme that catalyses the conversion of glucose to glucose-6-phosphate, which has been found to be associated with malignant tumour growth. However, the potential immunological and clinical significance of HK2, especially in terms of prognostic prediction for patients with glioma, has not been fully elucidated. METHODS To investigate the expression, immunological and clinical significance of HK2 in patients with glioma, several databases, including ONCOMINE, TIMER2.0, GEPIA, CGGA, UCSC, LinkedOmics, Metascape, STRING, GSCA, and TISIDB, as well as biochemical, cellular, and pathological analyses, were used in this study. In addition, we performed univariate, multivariate Cox regression and nomogram analyses of the hub genes positively and negatively correlated with HK2 to explore the potential regulatory mechanism in the initiation and development of glioma. RESULTS Our results demonstrated that HK2 was highly expressed in most malignant cancers. HK2 expression was significantly higher in lower grade glioma (LGG) and glioblastoma (GBM) than in adjacent normal tissue. In addition, HK2 expression was significantly correlated with clinical parameters, histological manifestations, and prognosis in glioma patients. Specifically, the data from The Cancer Genome Atlas downloaded from UCSC Xena database analysis showed that high expression of HK2 was strongly associated with poor prognosis in glioma patients. The LinkedOmics database indicated that HK2-related genes were mainly enriched in immune-related cells. In LGG and GBM tissues, HK2 expression is usually correlated with recognized immune checkpoints and the abundance of multiple immune infiltrates. Similarly, the Metascape database revealed that HK2-related genes were mainly enriched and annotated in immune-related pathways and immune cells. Further investigations also confirmed that the inhibition of HK2 expression remarkably suppressed metastasis and vasculogenic mimicry (VM) formation in glioma cells through regulating the gene expression of inflammatory and immune modulators. CONCLUSION HK2 expression was closely associated with the malignant properties of glioma through activating multiple immune-related signalling pathways to regulate immune responses and the infiltration of immune cells. Thus, HK2 and its hub genes may be a potential target for the treatment of glioma.
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Affiliation(s)
- Yishan Huang
- Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, Shantou, China
| | - Fan Ouyang
- Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, Shantou, China
| | - Fengxia Yang
- Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, Shantou, China
| | - Ning Zhang
- Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, Shantou, China
| | - Weijiang Zhao
- Cell Biology Department, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Hongwu Xu
- Department of Neurosurgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Department of Anthropotomy/Clinically Oriented Anatomy, Shantou University Medical College, Shantou, China
| | - Xiaojun Yang
- Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, Shantou, China
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