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Tan X, Li G, Deng H, Xiao G, Wang Y, Zhang C, Chen Y. Obesity enhances the response to neoadjuvant anti-PD1 therapy in oral tongue squamous cell carcinoma. Cancer Med 2024; 13:e7346. [PMID: 38923758 PMCID: PMC11194614 DOI: 10.1002/cam4.7346] [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: 11/30/2023] [Revised: 03/29/2024] [Accepted: 05/18/2024] [Indexed: 06/28/2024] Open
Abstract
OBJECTIVES Previous studies have demonstrated that obesity may impact the efficacy of anti-PD1 therapy, but the underlying mechanism remains unclear. In this study, our objective was to determine the prognostic value of obesity in patients with oral tongue squamous cell carcinoma (OTSCC) treated with pembrolizumab and establish a subtype based on fatty acid metabolism-related genes (FAMRGs) for immunotherapy. MATERIALS AND METHODS We enrolled a total of 56 patients with OTSCC who underwent neoadjuvant anti-PD1 therapy. Univariate and multivariate Cox regression analyses, Kaplan-Meier survival analysis, and immunohistochemistry staining were performed. Additionally, we acquired the gene expression profiles of pan-cancer samples and conducted GSEA and KEGG pathway analysis. Moreover, data from TCGA, MSigDB, UALCAN, GEPIA and TIMER were utilized to construct the FAMRGs subtype. RESULTS Our findings indicate that high Body Mass Index (BMI) was significantly associated with improved PFS (HR = 0.015; 95% CI, 0.001 to 0.477; p = 0.015), potentially attributed to increased infiltration of PD1 + T cells. A total of 91 differentially expressed FAMRGs were identified between the response and non-response groups in pan-cancer patients treated with immunotherapy. Of these, 6 hub FAMRGs (ACSL5, PLA2G2D, PROCA1, IL4I1, UBE2L6 and PSME1) were found to affect PD-1 expression and T cell infiltration in HNSCC, which may impact the efficacy of anti-PD1 therapy. CONCLUSION This study demonstrates that obesity serves as a robust prognostic predictor for patients with OTSCC undergoing neoadjuvant anti-PD1 therapy. Furthermore, the expression of 6 hub FAMRGs (ACSL5, PLA2G2D, PROCA1, IL4I1, UBE2L6 and PSME1) plays a pivotal role in the context of anti-PD1 therapy and deserves further investigation.
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Affiliation(s)
- Xiyan Tan
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
- Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Guoli Li
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
- Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Honghao Deng
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
- Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Guoming Xiao
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
- Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Yaqin Wang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
- Department of Radiation OncologySun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Chenzhi Zhang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
- Department of Colorectal SurgerySun Yat‐sen University Cancer CenterGuangzhouP.R. China
| | - Yanfeng Chen
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouP.R. China
- Department of Head and Neck SurgerySun Yat‐sen University Cancer CenterGuangzhouP.R. China
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Liu L, Sun J, Zhong C, Zhang A, Wang G, Chen S, Zhang S, Wang M, Li L. Identification of a fatty acid metabolism-related gene signature to predict prognosis in stomach adenocarcinoma. Aging (Albany NY) 2024; 16:8552-8571. [PMID: 38742949 PMCID: PMC11164501 DOI: 10.18632/aging.205823] [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: 11/02/2023] [Accepted: 03/13/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUND Fatty acid metabolism (FAM) contributes to tumorigenesis and tumor development, but the role of FAM in the progression of stomach adenocarcinoma (STAD) has not been comprehensively clarified. METHODS The expression data and clinical follow-up information were obtained from The Cancer Genome Atlas (TCGA). FAM pathway was analyzed by gene set enrichment analysis (GSEA) and single-sample GSEA (ssGSEA) methods. Univariate Cox regression analysis was conducted to select prognosis genes. Molecular subtypes were classified by consensus clustering analysis. Furthermore, least absolute shrinkage and selection operator (Lasso) analysis was employed to develop a risk model. ESTIMATE and tumour immune dysfunction and exclusion (TIDE) algorithm were used to assess immunity. pRRophetic package was conducted to predict drug sensitivity. RESULTS Based on 14 FAM related prognosis genes (FAMRG), 2 clusters were determined. Patients in C2 showed a worse overall survival (OS). Furthermore, a 7-FAMRG risk model was established as an independent predictor for STAD, with a higher riskscore indicating an unfavorable OS. High riskscore patients had higher TIDE score and these patients were more sensitive to anticancer drugs such as Bortezomib, Dasatinib and Pazopanib. A nomogram based on riskscore was an effective prediction tool applicable to clinical settings. The results from pan-cancer analysis supported a prominent application value of riskscore model in other cancer types. CONCLUSION The FAMRGs model established in this study could help predict STAD prognosis and offer new directions for future studies on dysfunctional FAM-induced damage and anti-tumor drugs in STAD disease.
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Affiliation(s)
- Lei Liu
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Jing Sun
- Department of Spinal Surgery, Strategic Support Force Medical Center, Beijing 100101, China
| | - Changqing Zhong
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Ang Zhang
- Department of Hematopathology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Guodong Wang
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Sheng Chen
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Shuai Zhang
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Min Wang
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
| | - Lianyong Li
- Department of Gastroenterology, Strategic Support Force Medical Center, Beijing 100101, China
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3
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Wang Y, Chen X, Li Y, Zhang Z, Xia L, Jiang J, Chai Y, Wang Z, Wan Y, Li T, Jin F, Li H. SLC27A2 is a potential immune biomarker for hematological tumors and significantly regulates the cell cycle progression of diffuse large B-cell lymphoma. BMC Med Genomics 2024; 17:105. [PMID: 38664735 PMCID: PMC11046844 DOI: 10.1186/s12920-024-01853-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Research on the fatty acid metabolism related gene SLC27A2 is currently mainly focused on solid tumors, and its mechanism of action in hematological tumors has not been reported. METHOD This study aims to explore the pathological and immune mechanisms of the fatty acid metabolism related gene SLC27A2 in hematological tumors and verify its functional role in hematological tumors through cell experiments to improve treatment decisions and clinical outcomes of hematological tumors. RESULT This study identified the fatty acid metabolism related gene SLC27A2 as a common differentially expressed gene between DLBCL and AML. Immune microenvironment analysis showed that SLC27A2 was significantly positively correlated with T cell CD4 + , T cell CD8 + , endothelial cells, macrophages, and NK cells in DLBCL. In AML, there is a significant negative correlation between SLC27A2 and B cells, T cell CD8 + , and macrophages. SLC27A2 participates in the immune process of hematological tumors through T cell CD8 + and macrophages. The GESA results indicate that high expression of SLC27A2 is mainly involved in the fatty acid pathway, immune pathway, and cell cycle pathway of DLBCL. The low expression of SLC27A2 is mainly involved in the immune pathway of AML. Therefore, SLC27A2 is mainly involved in the pathological mechanisms of hematological tumors through immune pathways, and cell experiments have also confirmed that SLC27A2 is involved in the regulation of DLBCL cells. CONCLUSION In summary, our research results comprehensively report for the first time the mechanism of action of SLC27A2 in the immune microenvironment of DLBCL and AML, and for the first time verify the cycle and apoptotic effects of the fatty acid related gene SLC27A2 in DLBCL cells through cell experiments. Research can help improve the treatment of AML and DLBCL patients.
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MESH Headings
- Humans
- Lymphoma, Large B-Cell, Diffuse/genetics
- Lymphoma, Large B-Cell, Diffuse/immunology
- Lymphoma, Large B-Cell, Diffuse/pathology
- Cell Cycle
- Tumor Microenvironment/immunology
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/metabolism
- Gene Expression Regulation, Neoplastic
- Hematologic Neoplasms/genetics
- Hematologic Neoplasms/immunology
- Hematologic Neoplasms/pathology
- Cell Line, Tumor
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/immunology
- Leukemia, Myeloid, Acute/pathology
- Leukemia, Myeloid, Acute/metabolism
- Fatty Acids/metabolism
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Affiliation(s)
- Yi Wang
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China
| | - Xue Chen
- Graduate School Internal Medicine, Bengbu Medical College, Anhui, China
| | - Yun Li
- Kindstar Global Precision Medicine Institute, Wuhan, China
- Department of Scientific Research Project, Wuhan Kindstar Medical Laboratory Co., Ltd, Wuhan, Hubei, China
| | - Zhixue Zhang
- Department of Hematology, The Ji'an Central Hospital, Jiangxi, China
| | - Leiming Xia
- Department of Hematology, The First Affiliated Hospital of Anhui Medical, Anhui, China
| | - Jiang Jiang
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical, Hefei, Anhui, China
| | - Yuqin Chai
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China
| | - Ziming Wang
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China
| | - Yu Wan
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China
| | - Tongyu Li
- Ningbo Clinical Research Center for Hematologic Malignancies, the First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Fengbo Jin
- Department of Hematology, The First Affiliated Hospital of Anhui Medical, Anhui, China.
| | - Hongxia Li
- Department of Oncology, The Third Affiliated Hospital of Anhui Medical, Anhui, China.
- Graduate School Internal Medicine, Bengbu Medical College, Anhui, China.
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4
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Ye C, Sun Q, Yan J, Xue D, Xu J, Ma H, Li F. Development of fatty acid metabolism score based on gene signature for predicting prognosis and immunotherapy response in colon cancer. Clin Transl Oncol 2024; 26:630-643. [PMID: 37480430 DOI: 10.1007/s12094-023-03282-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 07/11/2023] [Indexed: 07/24/2023]
Abstract
PURPOSE Metabolic reprogramming is a novel hallmark and therapeutic target of cancer. Our study aimed to establish fatty acid metabolism-associated scores based on gene signature and investigated its effects on immunotherapy in colon cancer. METHODS Gene expression and clinical information were collected from Gene Expression Omnibus (GEO) database to identify a gene signature by non-negative matrix factorization (NMF) clustering and Cox regression analysis. Subsequently, we constructed the fatty acid metabolism score (FA-score) model by principal component analysis (PCA) and explored its relativity of prognosis and the response to immunotherapy in colon cancer. Finally, the Cancer Genome Atlas (TCGA) database was introduced and in vitro study was performed for verification. RESULTS The FA-score-high group had a higher level of fatty acid metabolism and was associated with worse patient overall survival. Significantly, FA-score correlated closely with the biomarkers of immunotherapy, and the FA-score-high group had a poorer therapeutic efficacy of immune checkpoint blockade. In vitro experiments demonstrated that ACSL5 may be a critical metabolic regulatory target. CONCLUSIONS Our study provided a comprehensive analysis of the heterogeneity of fatty acid metabolism in colon cancer. We highlighted the potential clinical utility of fatty acid metabolism-related genes to be biomarkers of colon cancer prognosis and targets to improve the effect of immunotherapy.
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Affiliation(s)
- Changchun Ye
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China
| | - Qi Sun
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China
| | - Jun Yan
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China
| | - Dong Xue
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China
| | - Jiarui Xu
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China
| | - Haiyun Ma
- Department of General Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China
| | - Fanni Li
- Department of Talent Highland, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an 710061, Shaanxi, 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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6
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Li D, Cao D, Sun Y, Cui Y, Zhang Y, Jiang J, Cao X. The roles of epigallocatechin gallate in the tumor microenvironment, metabolic reprogramming, and immunotherapy. Front Immunol 2024; 15:1331641. [PMID: 38348027 PMCID: PMC10859531 DOI: 10.3389/fimmu.2024.1331641] [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: 11/01/2023] [Accepted: 01/15/2024] [Indexed: 02/15/2024] Open
Abstract
Cancer, a disease that modern medicine has not fully understood and conquered, with its high incidence and mortality, deprives countless patients of health and even life. According to global cancer statistics, there were an estimated 19.3 million new cancer cases and nearly 10 million cancer deaths in 2020, with the age-standardized incidence and mortality rates of 201.0 and 100.7 per 100,000, respectively. Although remarkable advancements have been made in therapeutic strategies recently, the overall prognosis of cancer patients remains not optimistic. Consequently, there are still many severe challenges to be faced and difficult problems to be solved in cancer therapy today. Epigallocatechin gallate (EGCG), a natural polyphenol extracted from tea leaves, has received much attention for its antitumor effects. Accumulating investigations have confirmed that EGCG can inhibit tumorigenesis and progression by triggering apoptosis, suppressing proliferation, invasion, and migration, altering tumor epigenetic modification, and overcoming chemotherapy resistance. Nevertheless, its regulatory roles and biomolecular mechanisms in the immune microenvironment, metabolic microenvironment, and immunotherapy remain obscure. In this article, we summarized the most recent updates about the effects of EGCG on tumor microenvironment (TME), metabolic reprogramming, and anti-cancer immunotherapy. The results demonstrated EGCG can promote the anti-cancer immune response of cytotoxic lymphocytes and dendritic cells (DCs), attenuate the immunosuppression of myeloid-derived suppressor cells (MDSCs) and regulatory T cells (Tregs), and inhibit the tumor-promoting functions of tumor-associated macrophages (TAMs), tumor-associated neutrophils (TANs), and various stromal cells including cancer-associated fibroblasts (CAFs), endothelial cells (ECs), stellate cells, and mesenchymal stem/stromal cells (MSCs). Additionally, EGCG can suppress multiple metabolic reprogramming pathways, including glucose uptake, aerobic glycolysis, glutamine metabolism, fatty acid anabolism, and nucleotide synthesis. Finally, EGCG, as an immunomodulator and immune checkpoint blockade, can enhance immunotherapeutic efficacy and may be a promising candidate for antitumor immunotherapy. In conclusion, EGCG plays versatile regulatory roles in TME and metabolic reprogramming, which provides novel insights and combined therapeutic strategies for cancer immunotherapy.
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Affiliation(s)
- Dongming Li
- Department of Gastric and Colorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, China
| | - Donghui Cao
- Division of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, China
| | - Yuanlin Sun
- Department of Gastric and Colorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, China
| | - Yingnan Cui
- Department of Gastric and Colorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, China
| | - Yangyu Zhang
- Division of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, China
| | - Jing Jiang
- Division of Clinical Epidemiology, The First Hospital of Jilin University, Changchun, China
| | - Xueyuan Cao
- Department of Gastric and Colorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, China
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7
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Dei Cas M, Ciniselli CM, Vergani E, Ciusani E, Aloisi M, Duroni V, Verderio P, Ghidoni R, Paroni R, Perego P, Beretta GL, Gatti L, Rodolfo M. Alterations in Plasma Lipid Profiles Associated with Melanoma and Therapy Resistance. Int J Mol Sci 2024; 25:1558. [PMID: 38338838 PMCID: PMC10855791 DOI: 10.3390/ijms25031558] [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: 12/28/2023] [Revised: 01/17/2024] [Accepted: 01/24/2024] [Indexed: 02/12/2024] Open
Abstract
Dysfunctions of lipid metabolism are associated with tumor progression and treatment resistance of cutaneous melanoma. BRAF/MEK inhibitor resistance is linked to alterations of melanoma lipid pathways. We evaluated whether a specific lipid pattern characterizes plasma from melanoma patients and their response to therapy. Plasma samples from patients and controls were analyzed for FASN and DHCR24 levels and lipidomic profiles. FASN and DHCR24 expression resulted in association with disease condition and related to plasma cholesterol and triglycerides in patients at different disease stages (n = 144) as compared to controls (n = 115). Untargeted lipidomics in plasma (n = 40) from advanced disease patients and controls revealed altered levels of different lipids, including fatty acid derivatives and sphingolipids. Targeted lipidomics identified higher levels of dihydroceramides, ceramides, sphingomyelins, ganglioside GM3, sphingosine, sphingosine-1-phosphate, and dihydrosphingosine, saturated and unsaturated fatty acids. When melanoma patients were stratified based on a long/short-term clinical response to kinase inhibitors, differences in plasma levels were shown for saturated fatty acids (FA 16:0, FA18:0) and oleic acid (FA18:1). Our results associated altered levels of selected lipid species in plasma of melanoma patients with a more favorable prognosis. Although obtained in a small cohort, these results pave the way to lipidomic profiling for melanoma patient stratification.
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Affiliation(s)
- Michele Dei Cas
- Clinical Biochemistry and Mass Spectrometry Laboratory, Health Sciences Department, Università degli Studi di Milano, 20122 Milan, Italy; (M.D.C.); (R.G.); (R.P.)
| | - Chiara Maura Ciniselli
- Unit of Bioinformatics and Biostatistics, Department of Epidemiology and Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy; (C.M.C.); (V.D.); (P.V.)
| | - Elisabetta Vergani
- Unit of Translational Immunology, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy; (M.A.); (M.R.)
| | - Emilio Ciusani
- Department of Diagnostic and Technology, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy;
| | - Mariachiara Aloisi
- Unit of Translational Immunology, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy; (M.A.); (M.R.)
| | - Valeria Duroni
- Unit of Bioinformatics and Biostatistics, Department of Epidemiology and Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy; (C.M.C.); (V.D.); (P.V.)
| | - Paolo Verderio
- Unit of Bioinformatics and Biostatistics, Department of Epidemiology and Data Science, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy; (C.M.C.); (V.D.); (P.V.)
| | - Riccardo Ghidoni
- Clinical Biochemistry and Mass Spectrometry Laboratory, Health Sciences Department, Università degli Studi di Milano, 20122 Milan, Italy; (M.D.C.); (R.G.); (R.P.)
| | - Rita Paroni
- Clinical Biochemistry and Mass Spectrometry Laboratory, Health Sciences Department, Università degli Studi di Milano, 20122 Milan, Italy; (M.D.C.); (R.G.); (R.P.)
| | - Paola Perego
- Molecular Pharmacology Unit, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy;
| | - Giovanni Luca Beretta
- Molecular Pharmacology Unit, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy;
| | - Laura Gatti
- Laboratory of Neurobiology and UCV, Neurology IX Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133 Milan, Italy;
| | - Monica Rodolfo
- Unit of Translational Immunology, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, 20133 Milan, Italy; (M.A.); (M.R.)
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8
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Zhang S, Lv K, Liu Z, Zhao R, Li F. Fatty acid metabolism of immune cells: a new target of tumour immunotherapy. Cell Death Discov 2024; 10:39. [PMID: 38245525 PMCID: PMC10799907 DOI: 10.1038/s41420-024-01807-9] [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: 08/03/2023] [Revised: 12/25/2023] [Accepted: 01/05/2024] [Indexed: 01/22/2024] Open
Abstract
Metabolic competition between tumour cells and immune cells for limited nutrients is an important feature of the tumour microenvironment (TME) and is closely related to the outcome of tumour immune escape. A large number of studies have proven that tumour cells need metabolic reprogramming to cope with acidification and hypoxia in the TME while increasing energy uptake to support their survival. Among them, synthesis, oxidation and uptake of fatty acids (FAs) in the TME are important manifestations of lipid metabolic adaptation. Although different immune cell subsets often show different metabolic characteristics, various immune cell functions are closely related to fatty acids, including providing energy, providing synthetic materials and transmitting signals. In the face of the current situation of poor therapeutic effects of tumour immunotherapy, combined application of targeted immune cell fatty acid metabolism seems to have good therapeutic potential, which is blocked at immune checkpoints. Combined application of adoptive cell therapy and cancer vaccines is reflected. Therefore, it is of great interest to explore the role of fatty acid metabolism in immune cells to discover new strategies for tumour immunotherapy and improve anti-tumour immunity.
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Affiliation(s)
- Sheng Zhang
- Center of Hematology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Kebing Lv
- Center of Hematology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zhen Liu
- Center of Hematology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Ran Zhao
- Center of Hematology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Fei Li
- Center of Hematology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
- Jiangxi Clinical Research Center for Hematologic Disease, Nanchang, China.
- Institute of Lymphoma and Myeloma, Nanchang University, Nanchang, China.
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9
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Zhang S, Liu Y, Ma X, Gao X, Ru Y, Hu X, Gu X. Recent advances in the potential role of RNA N4-acetylcytidine in cancer progression. Cell Commun Signal 2024; 22:49. [PMID: 38233930 PMCID: PMC10795262 DOI: 10.1186/s12964-023-01417-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Accepted: 12/02/2023] [Indexed: 01/19/2024] Open
Abstract
N4-acetylcytidine (ac4C) is a highly conserved chemical modification widely found in eukaryotic and prokaryotic RNA, such as tRNA, rRNA, and mRNA. This modification is significantly associated with various human diseases, especially cancer, and its formation depends on the catalytic activity of N-acetyltransferase 10 (NAT10), the only known protein that produces ac4C. This review discusses the detection techniques and regulatory mechanisms of ac4C and summarizes ac4C correlation with tumor occurrence, development, prognosis, and drug therapy. It also comments on a new biomarker for early tumor diagnosis and prognosis prediction and a new target for tumor therapy. Video Abstract.
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Affiliation(s)
- Shujun Zhang
- Department of Infectious Diseases, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, 471000, Henan, China
| | - Yafeng Liu
- Department of Infectious Diseases, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, 471000, Henan, China
| | - Xiao Ma
- Department of Orthopedics, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaohui Gao
- Department of Oncology, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, 471000, Henan, China
| | - Yi Ru
- Hepatobiliary Pancreatic Surgery, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, 471000, Henan, China
| | - Xinjun Hu
- Department of Infectious Diseases, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, 471000, Henan, China.
| | - Xinyu Gu
- Department of Oncology, The First Affiliated Hospital, College of Clinical Medicine, Henan University of Science and Technology, Luoyang, 471000, Henan, China.
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10
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Yan J, Li KX, Yu L, Yuan HY, Zhao ZM, Lin J, Wang CS. PRMT1 Integrates Immune Microenvironment and Fatty Acid Metabolism Response in Progression of Hepatocellular Carcinoma. J Hepatocell Carcinoma 2024; 11:15-27. [PMID: 38213310 PMCID: PMC10778267 DOI: 10.2147/jhc.s443130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 12/20/2023] [Indexed: 01/13/2024] Open
Abstract
Background Protein arginine methyltransferase (PRMT) family members have important roles in cancer processes. However, its functions in the regulation of cancer immunotherapy of hepatocellular carcinoma (HCC) are incompletely understood. This study aimed to investigate the roles of PRMT1 in HCC. Methods Single-cell RNA sequencing (scRNA-seq) and clinicopathological data were obtained and used to explore the diagnostic and prognostic value, cellular functions and roles in immune microenvironment regulation of PRMT1 in HCC. The functions of PRMT1 were explored using Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO), as well as gene set enrichment analysis (GSEA). TIMER and CIBERSORT were used to analyze the relationships between PRMT1 expression and immune cell infiltration. The STRING database was used to construct a protein-protein interaction (PPI) network. Results PRMT1 was aberrantly expressed in HCC, which high expression was associated with tumor progression, worse overall survival (OS) and disease-free survival (DFS) of patients with HCC. PRMT1 was also associated with immune cell infiltration. Moreover, it was specifically expressed in immune cells, including exhausted CD8 T cells, B cells, and mono/macro cells in patients with immunotherapy. The expression of immune checkpoints was significantly increased in the high-PRMT1 expression groups of HCC patients. Regarding biological mechanisms, cell viability, migration and invasion, and the expression of genes related to fatty acid metabolism were suppressed in PRMT1 knockdown HCC cells. Moreover, genes co-expressed with PRMT1 were involved in the fatty acid metabolic process and enriched in fatty and drug-induced liver disease. Conclusion Taken together, these results indicate that PRMT1 might exert its oncogenic effects via immune microenvironment regulation and fatty acid metabolism in HCC. Our finding will provide a foundation for further studies and indicate a potential clinical therapeutic target for liver cancer.
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Affiliation(s)
- Jia Yan
- School of Basic Medicine, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People’s Republic of China
- College of Life Science, Inner Mongolia University, Hohhot, Inner Mongolia, People’s Republic of China
- Medical Experimental Center of Basic Medical School, Inner Mongolia Medical University, Hohhot, Inner Mongolia, People’s Republic of China
| | - Ke xin Li
- College of Life Science, Inner Mongolia University, Hohhot, Inner Mongolia, People’s Republic of China
| | - Lei Yu
- College of Life Science, Inner Mongolia University, Hohhot, Inner Mongolia, People’s Republic of China
| | - Heng ye Yuan
- College of Life Science, Inner Mongolia University, Hohhot, Inner Mongolia, People’s Republic of China
| | - Zhi min Zhao
- College of Life Science, Inner Mongolia University, Hohhot, Inner Mongolia, People’s Republic of China
| | - Jing Lin
- College of Life Science, Inner Mongolia University, Hohhot, Inner Mongolia, People’s Republic of China
- Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia, People’s Republic of China
| | - Chang Shan Wang
- College of Life Science, Inner Mongolia University, Hohhot, Inner Mongolia, People’s Republic of China
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Rodrigues P, Bangali H, Ali E, Nauryzbaevish AS, Hjazi A, Fenjan MN, Alawadi A, Alsaalamy A, Alasheqi MQ, Mustafa YF. The mechanistic role of NAT10 in cancer: Unraveling the enigmatic web of oncogenic signaling. Pathol Res Pract 2024; 253:154990. [PMID: 38056132 DOI: 10.1016/j.prp.2023.154990] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 11/23/2023] [Accepted: 11/27/2023] [Indexed: 12/08/2023]
Abstract
N-acetyltransferase 10 (NAT10), a versatile enzyme, has gained considerable attention as a significant player in the complex realm of cancer biology. Its enigmatic role in tumorigenesis extends across a wide array of cellular processes, impacting cell growth, differentiation, survival, and genomic stability. Within the intricate network of oncogenic signaling, NAT10 emerges as a crucial agent in multiple cancer types, such as breast, lung, colorectal, and leukemia. This compelling research addresses the intricate complexity of the mechanistic role of NAT10 in cancer development. By elucidating its active participation in essential physiological processes, we investigate the regulatory role of NAT10 in cell cycle checkpoints, coordination of chromatin remodeling, and detailed modulation of the delicate balance between apoptosis and cell survival. Perturbations in NAT10 expression and function have been linked to oncogenesis, metastasis, and drug resistance in a variety of cancer types. Furthermore, the bewildering interactions between NAT10 and key oncogenic factors, such as p53 and c-Myc, are deciphered, providing profound insights into the molecular underpinnings of cancer pathogenesis. Equally intriguing, the paradoxical role of NAT10 as a potential tumor suppressor or oncogene is influenced by context-dependent factors and the cellular microenvironment. This study explores the fascinating interplay of genetic changes, epigenetic changes, and post-translational modifications that shape the dual character of NAT10, revealing the delicate balance between cancer initiation and suppression. Taken together, this overview delves deeply into the enigmatic role of NAT10 in cancer, elucidating its multifaceted roles and its complex interplay with oncogenic networks.
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Affiliation(s)
- Paul Rodrigues
- Department of Computer Engineering, College of Computer Science, King Khalid University, Al-Faraa, Saudi Arabia.
| | - Harun Bangali
- Department of Computer Engineering, College of Computer Science, King Khalid University, Al-Faraa, Saudi Arabia
| | - Eyhab Ali
- College of Chemistry, Al-Zahraa University for Women, Karbala, Iraq
| | - Abdreshov Serik Nauryzbaevish
- Institute of Genetics and Physiology SC MSHE RK, Laboratory of Physiology Lymphatic System, Al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Ahmed Hjazi
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia
| | - Mohammed N Fenjan
- College of Health and Medical Technology, Al-Ayen University, Thi-Qar, Iraq
| | - Ahmed Alawadi
- College of Technical Engineering, the Islamic University, Najaf, Iraq; College of Technical Engineering, the Islamic University of Al Diwaniyah, Iraq; College of Technical Engineering, the Islamic University of Babylon, Iraq
| | - Ali Alsaalamy
- College of Technical Engineering, Imam Ja'afar Al-Sadiq University, Al-Muthanna 66002, Iraq
| | | | - Yasser Fakri Mustafa
- Department of Pharmaceutical Chemistry, College of Pharmacy, University of Mosul, Mosul 41001, Iraq
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12
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Sun Y, Liu L, Fu Y, Liu Y, Gao X, Xia X, Zhu D, Wang X, Zhou X. Metabolic reprogramming involves in transition of activated/resting CD4 + memory T cells and prognosis of gastric cancer. Front Immunol 2023; 14:1275461. [PMID: 38090588 PMCID: PMC10711070 DOI: 10.3389/fimmu.2023.1275461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 11/09/2023] [Indexed: 12/18/2023] Open
Abstract
Background Little is known on how metabolic reprogramming potentially prompts transition of activated and resting CD4+ memory T cells infiltration in tumor microenvironment of gastric cancer (GC). The study aimed to evaluate their interactions and develop a risk model for predicting prognosis in GC. Methods Expression profiles were obtained from TCGA and GEO databases. An immunotherapeutic IMvigor210 cohort was also enrolled. CIBERSORT algorithm was used to evaluate the infiltration of immune cells. The ssGSEA method was performed to assess levels of 114 metabolism pathways. Prognosis and correlation analysis were conducted to identify metabolism pathways and genes correlated with activated CD4+ memory T cells ratio (AR) and prognosis. An AR-related metabolism gene (ARMG) risk model was constructed and validated in different cohorts. Flow cytometry was applied to validate the effect of all-trans retinoic acid (ATRA) on CD4+ memory T cells. Results Since significantly inverse prognostic value and negative correlation of resting and activated CD4+ memory T cells, high AR level was associated with favorable overall survival (OS) in GC. Meanwhile, 15 metabolism pathways including retinoic acid metabolism pathway were significantly correlated with AR and prognosis. The ARMG risk model could classify GC patients with different outcomes, treatment responses, genomic and immune landscape. The prognostic value of the model was also confirmed in the additional validation, immunotherapy and pan-cancer cohorts. Functional analyses revealed that the ARMG model was positively correlated with pro-tumorigenic pathways. In vitro experiments showed that ATRA could inhibit levels of activated CD4+ memory T cells and AR. Conclusion Our study showed that metabolic reprogramming including retinoic acid metabolism could contribute to transition of activated and resting CD4+ memory T cells, and affect prognosis of GC patients. The ARMG risk model could serve as a new tool for GC patients by accurately predicting prognosis and response to treatment.
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Affiliation(s)
- Yue Sun
- Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Li Liu
- Department of Gynecology, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, Guangdong, China
| | - Yuanyuan Fu
- Department of Pharmacy, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yaoyao Liu
- Department of Translational Medicine, Beijing GenePlus Genomics Institute, Beijing, China
| | - Xuan Gao
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- Department of Translational Medicine, Shenzhen GenePlus Clinical Laboratory, Shenzhen, China
| | - Xuefeng Xia
- Department of Translational Medicine, Beijing GenePlus Genomics Institute, Beijing, China
| | - Dajian Zhu
- Department of Gastroenterological Surgery, Shunde Women and Children’s Hospital (Maternity and Child Healthcare Hospital of Shunde Foshan), Guangdong Medical University, Foshan, China
| | - Xiaping Wang
- Department of Pathology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xin Zhou
- Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Oncology Center, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, China
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13
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Huang X, Sun Y, Song J, Huang Y, Shi H, Qian A, Cao Y, Zhou Y, Wang Q. Prognostic value of fatty acid metabolism-related genes in colorectal cancer and their potential implications for immunotherapy. Front Immunol 2023; 14:1301452. [PMID: 38045683 PMCID: PMC10693327 DOI: 10.3389/fimmu.2023.1301452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 10/31/2023] [Indexed: 12/05/2023] Open
Abstract
Introduction Colorectal cancer is one of the most common gastrointestinal cancers and the second leading cause of cancer-related death. Although colonoscopy screening has greatly improved the early diagnosis of colorectal cancer, its recurrence and metastasis are still significant problems. Tumour cells usually have the hallmark of metabolic reprogramming, while fatty acids play important roles in energy storage, cell membrane synthesis, and signal transduction. Many pathways of fatty acid metabolism (FAM) are involved in the occurrence and development of colon cancer, and the complex molecular interaction network contains a variety of genes encoding key enzymes and related products. Methods Clinical information and RNA sequencing data were collected from TCGA and GEO databases. The prognosis model of colon cancer was constructed by LASSO-Cox regression analysis among the selected fatty acid metabolism genes with differential expression. Nomogram for the prognosis model was also constructed in order to analyze its value in evaluating the survival and clinical stage of the colon cancer patients. The differential expression of the selected genes was verified by qPCR and immunohistochemistry. GSEA and GSVA were used to analyze the enrichment pathways for high- and low-risk groups. CIBERSORT was used to analyze the immune microenvironment of colon cancer and to compare the infiltration of immune cells in the high- and low-risk groups. The "circlize" package was used to explore the correlation between the risk score signature and immunotherapy for colon cancer. Results We analysed the differential expression of 704 FAM-related genes between colon tumour and normal tissue and screened 10 genes with prognostic value. Subsequently, we constructed a prognostic model for colon cancer based on eight optimal FAM genes through LASSO Cox regression analysis in the TCGA-COAD dataset, and its practicality was validated in the GSE39582 dataset. Moreover, the risk score calculated based on the prognostic model was validated as an independent prognostic factor for colon cancer patients. We further constructed a nomogram composed of the risk score signature, age and American Joint Committee on Cancer (AJCC) stage for clinical application. The colon cancer cohort was divided into high- and low-risk groups according to the optimal cut-off value, and different enrichment pathways and immune microenvironments were depicted in the groups. Discussion Since the risk score signature was significantly correlated with the expression of immune checkpoint molecules, the prognostic model might be able to predict the immunotherapy response of colon cancer patients. In summary, our findings expand the prognostic value of FAM-related genes in colon cancer and provide evidence for their application in guiding immunotherapy.
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Affiliation(s)
- Xi Huang
- Department of Laboratory Medicine, Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China, College of Health Sciences and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Yiwen Sun
- School of Public Health, The University of Sydney Faculty of Medicine and Health, NSW, Sydney, Australia
| | - Jia Song
- Department of Laboratory Medicine, Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China, College of Health Sciences and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yusong Huang
- Department of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huizhong Shi
- Department of Cardiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Aihua Qian
- Department of Laboratory Medicine, Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China, College of Health Sciences and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuncan Cao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Youci Zhou
- Department of Laboratory Medicine, Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China, College of Health Sciences and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qijun Wang
- Department of Laboratory Medicine, Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China, College of Health Sciences and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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14
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Dong X, Xia S, Du S, Zhu MH, Lai X, Yao SQ, Chen HZ, Fang C. Tumor Metabolism-Rewriting Nanomedicines for Cancer Immunotherapy. ACS CENTRAL SCIENCE 2023; 9:1864-1893. [PMID: 37901179 PMCID: PMC10604035 DOI: 10.1021/acscentsci.3c00702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Indexed: 10/31/2023]
Abstract
Cancer immunotherapy has become an established therapeutic paradigm in oncologic therapy, but its therapeutic efficacy remains unsatisfactory in the majority of cancer patients. Accumulating evidence demonstrates that the metabolically hostile tumor microenvironment (TME), characterized by acidity, deprivation of oxygen and nutrients, and accumulation of immunosuppressive metabolites, promotes the dysfunction of tumor-infiltrating immune cells (TIICs) and thereby compromises the effectiveness of immunotherapy. This indicates the potential role of tumor metabolic intervention in the reinvigoration of antitumor immunity. With the merits of multiple drug codelivery, cell and organelle-specific targeting, controlled drug release, and multimodal therapy, tumor metabolism-rewriting nanomedicines have recently emerged as an attractive strategy to strengthen antitumor immune responses. This review summarizes the current progress in the development of multifunctional tumor metabolism-rewriting nanomedicines for evoking antitumor immunity. A special focus is placed on how these nanomedicines reinvigorate innate or adaptive antitumor immunity by regulating glucose metabolism, amino acid metabolism, lipid metabolism, and nucleotide metabolism at the tumor site. Finally, the prospects and challenges in this emerging field are discussed.
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Affiliation(s)
- Xiao Dong
- Department
of Pharmacy, School of Medicine, Shanghai
University, Shanghai 200444, China
| | - Shu Xia
- Department
of Pharmacy, School of Medicine, Shanghai
University, Shanghai 200444, China
| | - Shubo Du
- School
of Bioengineering, Dalian University of
Technology, Dalian 116024, China
| | - Mao-Hua Zhu
- Hongqiao
International Institute of Medicine, Tongren Hospital and State Key
Laboratory of Systems Medicine for Cancer, Department of Pharmacology
and Chemical Biology, Shanghai Jiao Tong
University School of Medicine, Shanghai, 200025 China
| | - Xing Lai
- Hongqiao
International Institute of Medicine, Tongren Hospital and State Key
Laboratory of Systems Medicine for Cancer, Department of Pharmacology
and Chemical Biology, Shanghai Jiao Tong
University School of Medicine, Shanghai, 200025 China
| | - Shao Q. Yao
- Department
of Chemistry, National University of Singapore, Singapore 117543, Singapore
| | - Hong-Zhuan Chen
- Institute
of Interdisciplinary Integrative Biomedical Research, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203 China
| | - Chao Fang
- Hongqiao
International Institute of Medicine, Tongren Hospital and State Key
Laboratory of Systems Medicine for Cancer, Department of Pharmacology
and Chemical Biology, Shanghai Jiao Tong
University School of Medicine, Shanghai, 200025 China
- Key
Laboratory of Basic Pharmacology of Ministry of Education & Joint
International Research Laboratory of Ethnomedicine of Ministry of
Education, Zunyi Medical University, Zunyi 563003, China
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15
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Wang B, Ge S, Wang Z, Wang W, Wang Y, Leng H, Ma X. Analysis and experimental validation of fatty acid metabolism-related genes prostacyclin synthase (PTGIS) in endometrial cancer. Aging (Albany NY) 2023; 15:10322-10346. [PMID: 37796199 PMCID: PMC10599728 DOI: 10.18632/aging.205080] [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: 07/11/2023] [Accepted: 09/09/2023] [Indexed: 10/06/2023]
Abstract
The deregulation of fatty acid metabolism plays a pivotal role in cancer. Our objective is to construct a prognostic model for patients with endometrial carcinoma (EC) based on genes related to fatty acid metabolism-related genes (FAMGs). RNA sequencing and clinical data for EC were obtained from The Cancer Genome Atlas (TCGA). Lasso-Penalized Cox regression was employed to derive the risk formula for the model, the score = esum(corresponding coefficient × each gene's expression). Gene set enrichment analysis (GSEA) was utilized to examine the enrichment of KEGG and GO pathways within this model. Correlation analysis of immune function was conducted using Single-sample GSEA (ssGSEA). The "ESTIMATE" package in R was utilized to evaluate the tumor microenvironment. The support vector machine recursive feature elimination (SVM-RFE) and randomforest maps were employed to identify key genes. The effects of PTGIS on the malignant biological behavior of EC were assessed through CCK-8 assay, transwell invasion assay, cell cycle analysis, apoptosis assay, and tumor xenografts in nude mice. A novel prognostic signature comprising 10 FAMGs (INMT, ACACB, ACOT4, ACOXL, CYP4F3, FAAH, GPX1, HPGDS, PON3, PTGIS) was developed. This risk score serves as an independent prognostic marker validated for EC. According to ssGSEA analysis, the low- and high-risk groups exhibited distinct immune enrichments. The key gene PTGIS was screened by SVM-RFE and randomforest method. Furthermore, we validated the expression of PTGIS through qRT-PCR. In vitro and in vivo experiments also confirmed the effect of PTGIS on the malignant biological behavior of EC.
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Affiliation(s)
- Bo Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110000, Liaoning, People’s Republic of China
| | - Shuwen Ge
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110000, Liaoning, People’s Republic of China
| | - Zihao Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110000, Liaoning, People’s Republic of China
| | - Wantong Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110000, Liaoning, People’s Republic of China
| | - Yuting Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110000, Liaoning, People’s Republic of China
| | - Hongrui Leng
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110000, Liaoning, People’s Republic of China
| | - Xiaoxin Ma
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110000, Liaoning, People’s Republic of China
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16
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Li W, Wang W. Decoding the genetic links between serum lipidomic profile, amino acid biomarkers, and programmed cell death protein-1/programmed cell death-ligand-1. Cancer Immunol Immunother 2023; 72:3395-3399. [PMID: 37498324 DOI: 10.1007/s00262-023-03501-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 07/14/2023] [Indexed: 07/28/2023]
Abstract
BACKGROUND Disruptions in lipid metabolism and amino acids have been increasingly linked to resistance to immunotherapy. However, the underlying mechanisms by which dysregulated serum lipid metabolism and amino acids affect the efficacy of immunotherapies through PD-1/PD-L1 expression and function remain poorly understood. METHODS To elucidate the potential associations between lipid metabolism, amino acids, and PD-1/PD-L1, we employed the powerful Mendelian randomization (MR) method, leveraging large-scale genome-wide association studies. RESULTS In the present MR study, we identified a noteworthy negative association between alanine and PD-1 expression, implicating a regulatory role for alanine metabolism in modulating the immune response to cancer treatment. Additionally, we elucidated fourteen specific lipid metabolism biomarkers that were significantly linked to PD-L1 expression, including cholesterol and triglycerides. Glutamine and phenylalanine were also found to showcase an intriguing causal association with the expression of PD-L1. Eventually, we confirmed the potential roles of key genes involved in lipid and amino acids metabolism in influencing the response to immunotherapy. CONCLUSIONS These findings provided new insights into the role of lipid metabolism as well as amino acids in regulating PD-1/PD-L1, suggesting that strategies targeting lipid and amino acid metabolisms may have therapeutic potential for improving the efficacy of immunotherapy.
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Affiliation(s)
- Wenjie Li
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Wei Wang
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
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Chen Y, Wu W, Jin C, Cui J, Diao Y, Wang R, Xu R, Yao Z, Li X. Integrating Single-Cell RNA-Seq and Bulk RNA-Seq Data to Explore the Key Role of Fatty Acid Metabolism in Breast Cancer. Int J Mol Sci 2023; 24:13209. [PMID: 37686016 PMCID: PMC10487665 DOI: 10.3390/ijms241713209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/18/2023] [Accepted: 08/22/2023] [Indexed: 09/10/2023] Open
Abstract
Cancer immune escape is associated with the metabolic reprogramming of the various infiltrating cells in the tumor microenvironment (TME), and combining metabolic targets with immunotherapy shows great promise for improving clinical outcomes. Among all metabolic processes, lipid metabolism, especially fatty acid metabolism (FAM), plays a major role in cancer cell survival, migration, and proliferation. However, the mechanisms and functions of FAM in the tumor immune microenvironment remain poorly understood. We screened 309 fatty acid metabolism-related genes (FMGs) for differential expression, identifying 121 differentially expressed genes. Univariate Cox regression models in The Cancer Genome Atlas (TCGA) database were then utilized to identify the 15 FMGs associated with overall survival. We systematically evaluated the correlation between FMGs' modification patterns and the TME, prognosis, and immunotherapy. The FMGsScore was constructed to quantify the FMG modification patterns using principal component analysis. Three clusters based on FMGs were demonstrated in breast cancer, with three patterns of distinct immune cell infiltration and biological behavior. An FMGsScore signature was constructed to reveal that patients with a low FMGsScore had higher immune checkpoint expression, higher immune checkpoint inhibitor (ICI) scores, increased immune microenvironment infiltration, better survival advantage, and were more sensitive to immunotherapy than those with a high FMGsScore. Finally, the expression and function of the signature key gene NDUFAB1 were examined by in vitro experiments. This study significantly demonstrates the substantial impact of FMGs on the immune microenvironment of breast cancer, and that FMGsScores can be used to guide the prediction of immunotherapy efficacy in breast cancer patients. In vitro experiments, knockdown of the NDUFAB1 gene resulted in reduced proliferation and migration of MCF-7 and MDA-MB-231 cell lines.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Xiaofeng Li
- Department of Epidemiology and Health Statistics, Dalian Medical University, Dalian 116044, China
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18
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Fu Y, Wang B, Fu P, Zhang L, Bao Y, Gao ZZ. Delineation of fatty acid metabolism in gastric cancer: Therapeutic implications. World J Clin Cases 2023; 11:4800-4813. [PMID: 37583992 PMCID: PMC10424035 DOI: 10.12998/wjcc.v11.i20.4800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 04/23/2023] [Accepted: 05/19/2023] [Indexed: 07/11/2023] Open
Abstract
BACKGROUND The prognosis of gastric cancer is extremely poor. Metabolic reprogramming involving lipids has been associated with cancer occurrence and progression. AIM To illustrate fatty acid metabolic mechanisms in gastric cancer, detect core genes, develop a prognostic model, and provide treatment options. METHODS Raw data from The Cancer Genome Atlas and Gene Expression Omnibus databases were collected and analyzed. Differentially expressed fatty acid metabolism genes were identified and incorporated into a risk model based on least absolute shrinkage and selection operator regression analysis. Then, patients from The Cancer Genome Atlas were assigned to high- and low-risk cohorts according to the mean value of the risk score as the threshold, which was verified in the Gene Expression Omnibus database. Relationships between chemotherapeutic sensitivity and tumor microenvironment features were assessed. RESULTS An integrated evaluation was performed in this study. Fatty acid metabolism-related genes were used to construct the risk model. Patients classified into the high-risk cohort were considered to be resistant to chemotherapy based on results of the "pRRophetic" R package. Patients in the high-risk cohort were associated with type I/II interferon activation, increased inflammation level, immune cell infiltration, and tumor immune dysfunction based on the exclusion algorithm, indicating the potential benefit of immunotherapy in these patients. CONCLUSION We constructed a fatty acid-related risk score model to assess the comprehensive fatty acid features in gastric cancer and validated its vital role in prognosis, chemotherapy sensitivity, and immunotherapy.
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Affiliation(s)
- Yu Fu
- Department of General Practice Medicine, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China
| | - Bin Wang
- Department of General Practice Medicine, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China
| | - Peng Fu
- Department of Orthopeadic Oncology, The Second Affiliated Hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China
| | - Lei Zhang
- Department of Clinical Oncology, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China
| | - Yi Bao
- Department of Clinical Oncology, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China
| | - Zhen-Zhen Gao
- Department of Clinical Oncology, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China
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19
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Fu Y, Wang B, Fu P, Zhang L, Bao Y, Gao ZZ. Delineation of fatty acid metabolism in gastric cancer: Therapeutic implications. World J Clin Cases 2023; 11:4796-4809. [DOI: 10.12998/wjcc.v11.i20.4796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 04/23/2023] [Accepted: 05/19/2023] [Indexed: 07/06/2023] Open
Abstract
BACKGROUND The prognosis of gastric cancer is extremely poor. Metabolic reprogramming involving lipids has been associated with cancer occurrence and progression.
AIM To illustrate fatty acid metabolic mechanisms in gastric cancer, detect core genes, develop a prognostic model, and provide treatment options.
METHODS Raw data from The Cancer Genome Atlas and Gene Expression Omnibus databases were collected and analyzed. Differentially expressed fatty acid metabolism genes were identified and incorporated into a risk model based on least absolute shrinkage and selection operator regression analysis. Then, patients from The Cancer Genome Atlas were assigned to high- and low-risk cohorts according to the mean value of the risk score as the threshold, which was verified in the Gene Expression Omnibus database. Relationships between chemotherapeutic sensitivity and tumor microenvironment features were assessed.
RESULTS An integrated evaluation was performed in this study. Fatty acid metabolism-related genes were used to construct the risk model. Patients classified into the high-risk cohort were considered to be resistant to chemotherapy based on results of the “pRRophetic” R package. Patients in the high-risk cohort were associated with type I/II interferon activation, increased inflammation level, immune cell infiltration, and tumor immune dysfunction based on the exclusion algorithm, indicating the potential benefit of immunotherapy in these patients.
CONCLUSION We constructed a fatty acid-related risk score model to assess the comprehensive fatty acid features in gastric cancer and validated its vital role in prognosis, chemotherapy sensitivity, and immunotherapy.
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Affiliation(s)
- Yu Fu
- Department of General Practice Medicine, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China
| | - Bin Wang
- Department of General Practice Medicine, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China
| | - Peng Fu
- Department of Orthopeadic Oncology, The Second Affiliated Hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China
| | - Lei Zhang
- Department of Clinical Oncology, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China
| | - Yi Bao
- Department of Clinical Oncology, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China
| | - Zhen-Zhen Gao
- Department of Clinical Oncology, The Second affiliated hospital of Jiaxing University, Jiaxing 314000, Zhejiang Province, China
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20
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NSUN2 promotes osteosarcoma progression by enhancing the stability of FABP5 mRNA via m 5C methylation. Cell Death Dis 2023; 14:125. [PMID: 36792587 PMCID: PMC9932088 DOI: 10.1038/s41419-023-05646-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 02/17/2023]
Abstract
5-methylcytosine (m5C) modification, which is mainly induced by the RNA methyltransferase NSUN2 (NOP2/Sun domain family, member 2), is an important chemical posttranscriptional modification in mRNA and has been proven to play important roles in the progression of many cancers. However, the functions and underlying molecular mechanisms of NSUN2-mediated m5C in osteosarcoma (OS) remain unclear. In this study, we found NSUN2 was highly expressed in OS tissues and cells. We also discovered that higher expression of NSUN2 predicted poorer prognosis of OS patients. Our study showed that NSUN2 could promote the progression of OS cells. Moreover, we employed RNA sequencing, RNA immunoprecipitation (RIP), and methylated RIP to screen and validate the candidate targets of NSUN2 and identified FABP5 as the target. We observed that NSUN2 stabilized FABP5 mRNA by inducing m5C modification and further promoted fatty acid metabolism in OS cells. Moreover, both knocking down the expression of FABP5 and adding fatty acid oxidation inhibitor could counterbalance the promoting effect of NSUN2 on the progression of OS. Our study confirms that NSUN2 can up-regulate the expression of FABP5 by improving the stability of FABP5 mRNA via m5C, so as to promote fatty acid metabolism in OS cells, and finally plays the role in promoting the progression of OS. Our findings suggest that NSUN2 is a promising prognostic marker for OS patients and may serve as a potential therapeutic target for OS treatment. A schematic illustration was proposed to summarize our findings.
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Taher N, Mentang F, Montolalu RI, Gunawan WB, Taslim NA, Mayulu N, Nurkolis F. Green seaweeds fatty acids and heterocyclic derivatives against cancer: Opinion on future nutraceutical application. Front Oncol 2023; 13:1145919. [PMID: 36865809 PMCID: PMC9971979 DOI: 10.3389/fonc.2023.1145919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 01/31/2023] [Indexed: 02/16/2023] Open
Affiliation(s)
- Nurmeilita Taher
- Fishery Products Technology Study Program, Faculty of Fisheries and Marine Sciences, Sam Ratulangi University, Manado, North Sulawesi, Indonesia,*Correspondence: Nurmeilita Taher,
| | - Feny Mentang
- Fishery Products Technology Study Program, Faculty of Fisheries and Marine Sciences, Sam Ratulangi University, Manado, North Sulawesi, Indonesia
| | - Roike Iwan Montolalu
- Fishery Products Technology Study Program, Faculty of Fisheries and Marine Sciences, Sam Ratulangi University, Manado, North Sulawesi, Indonesia
| | - William Ben Gunawan
- Alumnus of Nutrition Science Department, Faculty of Medicine, Diponegoro University, Semarang, Central Java, Indonesia
| | - Nurpudji Astuti Taslim
- Clinical Nutrition, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia
| | - Nelly Mayulu
- Food and Nutrition, Universitas Muhammadiyah Manado, Manado, North Sulawesi, Indonesia
| | - Fahrul Nurkolis
- Biological Sciences, State Islamic University of Sunan Kalijaga (UIN Sunan Kalijaga), Yogyakarta, Yogyakarta, Indonesia
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22
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Wang H, Shi W, Lu J, Liu Y, Zhou W, Yu Z, Qin S, Fan J. HCC: RNA-Sequencing in Cirrhosis. Biomolecules 2023; 13:141. [PMID: 36671526 PMCID: PMC9855755 DOI: 10.3390/biom13010141] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 12/29/2022] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
Hepatocellular carcinoma (HCC) ranks the most common types of cancer worldwide. As the fourth leading cause of cancer-related deaths, its prognosis remains poor. Most patients developed HCC on the basis of chronic liver disease. Cirrhosis is an important precancerous lesion for HCC. However, the molecular mechanisms in HCC development are still unclear. To explore the changes at the level of transcriptome in this process, we performed RNA-sequencing on cirrhosis, HCC and paracancerous tissues. Continuously changing mRNA was identified using Mfuzz cluster analysis, then their functions were explored by enrichment analyses. Data of cirrhotic HCC patients were obtained from TCGA, and a fatty acid metabolism (FAM)-related prognostic signature was then established. The performance and immunity relevance of the signature were verified in internal and external datasets. Finally, we validated the expression and function of ADH1C by experiments. As a result, 2012 differently expressed mRNA were identified by RNA-sequencing and bioinformatics analyses. Fatty acid metabolism was identified as a critical pathway by enrichment analyses of the DEGs. A FAM-related prognostic model and nomogram based on it were efficient in predicting the prognosis of cirrhotic HCC patients, as patients with higher risk scores had shorter survival time. Risk scores calculated by the signature were then proved to be associated with a tumor immune environment. ADH1C were downregulated in HCC, while silence of ADH1C could significantly promote proliferation and motility of the HCC cell line.
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Affiliation(s)
- Haoyu Wang
- Department of General Surgery, Shanghai General Hospital Affiliated to Shanghai Jiaotong University, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
| | - Wenjie Shi
- Department of General Surgery, Shanghai General Hospital Affiliated to Shanghai Jiaotong University, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
| | - Jing Lu
- Department of General Surgery, Shanghai General Hospital Affiliated to Shanghai Jiaotong University, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
| | - Yuan Liu
- Department of General Surgery, Shanghai General Hospital Affiliated to Shanghai Jiaotong University, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
| | - Wei Zhou
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
| | - Zekun Yu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
| | - Shengying Qin
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, China
| | - Junwei Fan
- Department of General Surgery, Shanghai General Hospital Affiliated to Shanghai Jiaotong University, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
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23
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Zhou Y, Zhu J, Gu M, Gu K. Prognosis and Characterization of Microenvironment in Cervical Cancer Influenced by Fatty Acid Metabolism-Related Genes. JOURNAL OF ONCOLOGY 2023; 2023:6851036. [PMID: 36936374 PMCID: PMC10017219 DOI: 10.1155/2023/6851036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 12/13/2022] [Accepted: 02/08/2023] [Indexed: 03/21/2023]
Abstract
Increasing evidence suggests that diverse activation patterns of metabolic signalling pathways may lead to molecular diversity of cervical cancer (CC). But rare research focuses on the alternation of fatty acid metabolism (FAM) in CC. Therefore, we constructed and compared models based on the expression of FAM-related genes from the Cancer Genome Atlas by different machine learning algorithms. The most reliable model was built with 14 significant genes by LASSO-Cox regression, and the CC cohort was divided into low-/high-risk groups by the median of risk score. Then, a feasible nomogram was established and validated by C-index, calibration curve, net benefit, and decision curve analysis. Furthermore, the hub genes among differential expression genes were identified and the post-transcriptional and translational regulation networks were characterized. Moreover, the somatic mutation and copy number variation landscapes were depicted. Importantly, the specific mutation drivers and signatures of the FAM phenotypes were excavated. As a result, the high-risk samples were featured by activated de novo fatty acid synthesis, epithelial to mesenchymal transition, angiogenesis, and chronic inflammation response, which might be caused by mutations of oncogenic driver genes in RTK/RAS, PI3K, and NOTCH signalling pathways. Besides the hyperactivity of cytidine deaminase and deficiency of mismatch repair, the mutations of POLE might be partially responsible for the mutations in the high-risk group. Next, the antigenome including the neoantigen and cancer germline antigens was estimated. The decreasing expression of a series of cancer germline antigens was identified to be related to reduction of CD8 T cell infiltration in the high-risk group. Then, the comprehensive evaluation of connotations between the tumour microenvironment and FAM phenotypes demonstrated that the increasing risk score was related to the suppressive immune microenvironment. Finally, the prediction of therapy targets revealed that the patients with high risk might be sensitive to the RAF inhibitor AZ628. Our findings provide a novel insight for personalized treatment in CC.
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Affiliation(s)
- Yanjun Zhou
- 1Department of Radiotherapy and Oncology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214000, China
| | - Jiahao Zhu
- 2Department of Outpatient Chemotherapy, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150000, China
| | - Mengxuan Gu
- 3Jiangnan University, Wuxi, Jiangsu 214000, China
| | - Ke Gu
- 1Department of Radiotherapy and Oncology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214000, China
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Xiao Y, Yang J, Yang M, Len J, Yu Y. The prognosis of bladder cancer is affected by fatty acid metabolism, inflammation, and hypoxia. Front Oncol 2022; 12:916850. [DOI: 10.3389/fonc.2022.916850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 11/02/2022] [Indexed: 11/22/2022] Open
Abstract
BackgroundThe prognosis of bladder cancer (BC) is poor, and there is no effective personalized management method for BC patients at present. Developing an accurate model is helpful to make treatment plan and prognosis analysis for BC patients. Endogenous fatty acid metabolism causes cancer cells to become hypoxic, and the coexistence of hypoxia and inflammation is often characteristic of cancer. All three together influence the tumor immune microenvironment, treatment, and prognosis of BC.MethodsWe used The Cancer Genome Atlas-Bladder Urothelial Carcinoma (TCGA-BLAC) cohorts as a train group to build a risk model based on fatty acid metabolism, hypoxia and inflammation-related gene signatures and performed external validation with GSE13507, GSE31684, and GSE39281 cohorts. We validated the model to correlate with the clinicopathological characteristics of patients, created an accuracy nomogram, and explored the differences in immune microenvironment and enrichment pathways.ResultsWe found significant differences in overall survival and progression-free survival between high- and low-risk groups, and patients in the low-risk group had a better prognosis than those in the high-risk group. In the train group, the AUCs for predicting overall survival at 1, 3, and 5 years were 0.745, 0.712, and 0.729, respectively. The 1-, 3-, and 5-year overall survival AUCs were 0.589, 0.672, and 0.666 in the external validation group, respectively. The risk score independently predicted the prognosis of BC patients with AUCs of 0.729. In addition, there was a significant correlation between risk scores and BC clinicopathological features and, in the GSE13507 cohort, we observed that BC progression and deeper invasion were associated with higher risk scores. Risk scores were highly correlated with coproptosis, pyroptosis, m7G, immune checkpoint-related genes, and immune microenvironment. In addition, we found that patients in the low-risk group responded better to immunotherapy, whereas patients in the high-risk group were more sensitive to commonly used chemotherapy drugs.ConclusionOur findings provide new treatment decisions for BC, and can effectively predict the prognosis of BC patients, which is helpful for the management of BC patients.
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Dalhat MH, Mohammed MRS, Alkhatabi HA, Rehan M, Ahmad A, Choudhry H, Khan MI. NAT10: An RNA cytidine transferase regulates fatty acid metabolism in cancer cells. Clin Transl Med 2022; 12:e1045. [PMID: 36149760 PMCID: PMC9505754 DOI: 10.1002/ctm2.1045] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 08/14/2022] [Accepted: 08/23/2022] [Indexed: 01/22/2023] Open
Abstract
Background N‐4 cytidine acetylation (ac4C) is an epitranscriptomics modification catalyzed by N‐acetyltransferase 10 (NAT10); important for cellular mRNA stability, rRNA biogenesis, cell proliferation and epithelial to mesenchymal transition (EMT). However, whether other crucial pathways are regulated by NAT10‐dependent ac4C modification in cancer cells remains unclear. Therefore, in this study, we explored the impact of NAT10 depletion in cancer cells using unbiased RNA‐seq. Methods High‐throughput sequencing of knockdown NAT10 in cancer cells was conducted to identify enriched pathways. Acetylated RNA immunoprecipitation‐seq (acRIP‐seq) and RIP‐PCR were used to map and determine ac4C levels of RNA. Exogenous palmitate uptake assay was conducted to assess NAT10 knockdown cancer cells using Oil Red O staining and lipid content analysis. Gas‐chromatography–tandem mass spectroscopy (GC/MS) was used to perform untargeted lipidomics. Results High‐throughput sequencing of NAT10 knockdown in cancer cells revealed fatty acid (FA) metabolism as the top enriched pathway through the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis in differentially downregulated genes. FA metabolic genes such as ELOLV6, ACSL1, ACSL3, ACSL4, ACADSB and ACAT1 were shown to be stabilised via NAT10‐dependent ac4C RNA acetylation. Additionally, NAT10 depletion was shown to significantly reduce the levels of overall lipid content, triglycerides and total cholesterol. Further, NAT10 depletion in palmitate‐loaded cancer cells showed decrease in ac4C levels across the RNA transcripts of FA metabolic genes. In untargeted lipidomics, 496 out of 2 279 lipids were statistically significant in NAT10 depleted cancer cells, of which pathways associated with FA metabolism are the most enriched. Conclusions Conclusively, our results provide novel insights into the impact of NAT10‐mediated ac4C modification as a crucial regulatory factor during FA metabolism and showed the benefit of targeting NAT10 for cancer treatment.
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Affiliation(s)
- Mahmood Hassan Dalhat
- Department of Biochemistry, King Abdulaziz University, Jeddah, Saudi Arabia.,Centre for Artificial Intelligence in Precision Medicines, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mohammed Razeeth Shait Mohammed
- Department of Biochemistry, King Abdulaziz University, Jeddah, Saudi Arabia.,Centre for Artificial Intelligence in Precision Medicines, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Hind Ali Alkhatabi
- Department of Biochemistry, College of Science, University of Jeddah, Jeddah, Saudi Arabia
| | - Mohd Rehan
- King Fahd Medical Research Centre, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Aamir Ahmad
- Translational Research Institute, Hamad Medical Corporation, Doha, Qatar
| | - Hani Choudhry
- Department of Biochemistry, King Abdulaziz University, Jeddah, Saudi Arabia.,Centre for Artificial Intelligence in Precision Medicines, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mohammad Imran Khan
- Department of Biochemistry, King Abdulaziz University, Jeddah, Saudi Arabia.,Centre for Artificial Intelligence in Precision Medicines, King Abdulaziz University, Jeddah, Saudi Arabia
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