1
|
Wang Z, Cao Z, Dai Z. ACAT2 may be a novel predictive biomarker and therapeutic target in lung adenocarcinoma. Cancer Rep (Hoboken) 2024; 7:e1956. [PMID: 38213102 PMCID: PMC10849923 DOI: 10.1002/cnr2.1956] [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: 03/01/2023] [Revised: 11/23/2023] [Accepted: 12/01/2023] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Acyl-coenzyme A cholesterol acyltransferase (ACAT) is a membrane-binding enzyme localized in the endoplasmic reticulum. ACAT2 can promote the development of colon cancer, but its efficacy in lung adenocarcinoma (LUAD) remains uncertain. METHOD ACAT2 expression was performed by using the TIMER2.0 database. The GEPIA database was utilized to analyze the correlation between ACAT2 expression and pathological stage of the tumor. Clinical prognosis was assessed through the Kaplan-Meier analysis. The CancerSEA database was employed to scrutinize the correlations between the ACAT2 expression and the functional status of various tumors, which were subsequently visualized as a heatmap. Furthermore, molecular interaction network analysis was performed by the STRING tool. RESULTS High ACAT2 expression was associated with a poor DFS and OS in LUAD patients. Cox regression analysis indicated that the poor outcomes may be related to tumor stage, nodal stage, distant metastatic stage. ACAT2 was found to play a crucial role in various biological processes, including the cell cycle, DNA repair, DNA damage response, and proliferation. Enrichment pathway analysis revealed four ACAT2 related genes, ACOX1, EHHADH, OXCT1, and DLAT. CONCLUSION Our study showed that ACAT2 was upregulated in LUAD, and had a worse survival. ACAT2 could be a novel predictive biomarker and therapeutic target in LUAD.
Collapse
Affiliation(s)
- Zhongchao Wang
- The Second HospitalDalian Medical UniversityDalianChina
- Xinyi People's HospitalXinyiChina
| | - Zhugen Cao
- Suqian First People's HospitalSuqianChina
| | - Zhaoxia Dai
- The Second HospitalDalian Medical UniversityDalianChina
| |
Collapse
|
2
|
Wang J, Yang Z, Bai H, Zhao L, Ji J, Bin Y, Liu Y, Zhang S, Hou H, Li Q. High-expressed ACAT2 predicted the poor prognosis of platinum-resistant epithelial ovarian cancer. Diagn Pathol 2024; 19:7. [PMID: 38178203 PMCID: PMC10768435 DOI: 10.1186/s13000-023-01435-4] [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: 09/21/2023] [Accepted: 12/21/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Acetyl-CoA acetyltransferase 2 (ACAT2) is a lipid metabolism enzyme and rarely was researched in epithelial ovarian cancer (EOC). METHODS ACAT2 expressions were confirmed in two pairs of cell lines (A2780 and A2780/DDP, OVCAR8 and OVCAR8/DDP) from Gene Expression Omnibus database by bioinformatics analysis, and in A2780 and A2780/DDP cell lines by quantitative real-time polymerase chain reaction and western blotting. Tissue samples were stained by immunohistochemistry and scored for ACAT2 expression. The relationships between ACAT2 expression and clinicopathological characteristics were analyzed by χ2 test. The prognosis of ACAT2 was analyzed by the log-rank tests and Cox regression models. RESULTS ACAT2 was remarkably upregulated in the above drug-resistant cell lines by mRNA (all P < 0.05) and protein expression (P = 0.026) than those in sensitive ones. Patients were classified as ACAT2-high (n = 51) and ACAT2-low (n = 26) according to immunohistochemical score. ACAT2 expression had a significantly inverse correlation with FIGO stage (P = 0.030) and chemo-response (P = 0.041). A marginal statistical significance existed in ACAT2 expression and ascites volume (P = 0.092). Univariate analysis suggested that high-expressed ACAT2 was associated with decreased platinum-free interval (PFI) (8.57 vs. 14.13 months, P = 0.044), progression-free survival (PFS) (14.12 vs. 19.79 months, P = 0.039) and overall survival (OS) (36.89 vs. 52.40 months, P = 0.044). Multivariate analysis demonstrated that ACAT2 expression (hazard ratio = 2.18, 95% confidence interval: 1.15-4.11, P = 0.017) affected OS independently, rather than PFI and PFS. CONCLUSION The expression of ACAT2 in A2780/DDP and OVCAR8/DDP was higher than the corresponding A2780 and OVCAR8. High-expressed ACAT2 was associated with advanced FIGO stage, chemo-resistance, and decreased PFI, PFS and OS. It was an independent prognostic factor of OS in EOC.
Collapse
Affiliation(s)
- Jinfeng Wang
- Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, 710061, China
| | - Zhe Yang
- Department of Pathology, First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, 710061, China
| | - Han Bai
- The MED-X Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Western China Science and Technology Innovation Harbor, Building 21, Xi'an, 710000, China
| | - Lanbo Zhao
- Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, 710061, China
| | - Jing Ji
- Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, 710061, China
| | - Yadi Bin
- Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, 710061, China
| | - Yu Liu
- Department of Pathology, First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, 710061, China
| | - Siyi Zhang
- Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, 710061, China
| | - Huilian Hou
- Department of Pathology, First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
| | - Qiling Li
- Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
| |
Collapse
|
3
|
Cheng Y, Yu H, Li K, Lv J, Zhuang J, Bai K, Wu Q, Yang X, Yang H, Lu Q. Hsa_circ_0003098 promotes bladder cancer progression via miR-377-5p/ACAT2 axis. Genomics 2023; 115:110692. [PMID: 37532090 DOI: 10.1016/j.ygeno.2023.110692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 07/20/2023] [Accepted: 07/30/2023] [Indexed: 08/04/2023]
Abstract
Accumulating evidence has proven that circRNAs play vital roles in tumor progression. Nevertheless, the mechanisms underlying circRNAs in bladder cancer (BCa) remain largely unknown. The purpose of this study was to identify the role and investigate the potential molecular mechanisms of hsa_circ_0003098 in BCa. We confirmed that hsa_circ_0003098 expression was significantly upregulated in BCa tissues, of which expression was remarkably associated with poor prognosis. Functionally, overexpression of hsa_circ_0003098 promoted BCa cell proliferation, migration, and invasion in vitro as well as tumor growth in vivo. Mechanistically, hsa_circ_0003098 promoted upregulation of ACAT2 expression and induced cholesteryl ester accumulation via acting as a sponge for miR-377-5p. Thus, hsa_circ_0003098 plays an oncogenic role in BCa and may serve as a potential biomarker and therapeutic target for BCa.
Collapse
Affiliation(s)
- Yidong Cheng
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 21000, Jiangsu Province, PR China; Department of Urology, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing 21000, Jiangsu Province, PR China
| | - Hao Yu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 21000, Jiangsu Province, PR China
| | - Kai Li
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 21000, Jiangsu Province, PR China
| | - Jiancheng Lv
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 21000, Jiangsu Province, PR China
| | - Juntao Zhuang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 21000, Jiangsu Province, PR China
| | - Kexin Bai
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 21000, Jiangsu Province, PR China
| | - Qikai Wu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 21000, Jiangsu Province, PR China
| | - Xiao Yang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 21000, Jiangsu Province, PR China.
| | - Haiwei Yang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 21000, Jiangsu Province, PR China.
| | - Qiang Lu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 21000, Jiangsu Province, PR China.
| |
Collapse
|
4
|
Shi R, Li H, Wei S, Yu Z, Zhang J, Zhang Q, Zhou T, Yao Y, Zhang Q, Zhang T, Wang H. Lactate metabolism-related genes to predict the clinical outcome and molecular characteristics of endometrial cancer. BMC Cancer 2023; 23:491. [PMID: 37259038 DOI: 10.1186/s12885-023-10934-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 05/09/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND Metabolic reprogramming is one of hallmarks of cancer progression and is of great importance for the tumor microenvironment (TME). As an abundant metabolite, lactate has been found to play a critical role in cancer development and immunosuppression of TME. However, the potential role of lactate metabolism-related genes in endometrial cancer (EC) remains obscure. METHODS RNA sequencing data and clinical information of EC were obtained from The Cancer Genome Atlas (TCGA) database. Lactate metabolism-related genes (LMRGs) WERE from Molecular Signature Database v7.4 and then compared the candidate genes from TCGA to obtain final genes. Univariate analysis and Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression were performed to screen prognostic genes. A lactate metabolism-related risk profile was constructed using multivariate Cox regression analysis. The signature was validated by time-dependent ROC curve analysis and Kaplan-Meier analysis. The relationship between the risk score and age, grade, stage, tumor microenvironmental characteristics, and drug sensitivity was as well explored by correlation analyses. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway functional analysis between the high and low-risk groups were performed. CCK8, EdU, and clone formation assays were applied to detect the proliferation ability of EC cells, Transwell assay was performed to detect the migration ability of EC cells, and intracellular lactate and glucose content was used to asses lactate metabolism. RESULTS We constructed a risk signature based on 18 LMRGs. Kaplan-Meier curves confirmed that the high-risk group had poorer prognosis compared to the low-risk group. A nomogram was then constructed to predict the probability of EC survival. We also performed GO enrichment analysis and KEGG pathway functional analysis between the high and low-risk groups, and the outcome revealed that the features were significantly associated with energy metabolism. There was a significant correspondence between LMRGs and tumor mutational load, checkpoints and immune cell infiltration. C1, C2, and C4 were the most infiltrated in the high-risk group. The high-risk group showed increased dendritic cell activation, while the low-risk group showed increased plasma cells and Treg cells. Drug sensitivity analysis showed LMRGs risk was more resistant to Scr kinase inhibitors. We further proved that one of the lactate metabolism related genes, TIMM50 could promote EC cell proliferation, migration and lactate metabolism. CONCLUSION In conclusion, we have established an effective prognostic signature based on LMRG expression patterns, which may greatly facilitate the assessment of prognosis, molecular features and treatment modalities in EC patients and may be useful in the future translation to clinical applications. TIMM50 was identified as a novel molecule that mediates lactate metabolism in vitro and in vivo, maybe a promising target for EC prognosis.
Collapse
Affiliation(s)
- Rui Shi
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Haojia Li
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Sitian Wei
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Zhicheng Yu
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Jun Zhang
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Qi Zhang
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Ting Zhou
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Yuwei Yao
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Qian Zhang
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Tangansu Zhang
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Hongbo Wang
- Department of Gynecology and Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
| |
Collapse
|
5
|
Bhattacharjee P, Rutland N, Iyer MR. Targeting Sterol O-Acyltransferase/Acyl-CoA:Cholesterol Acyltransferase (ACAT): A Perspective on Small-Molecule Inhibitors and Their Therapeutic Potential. J Med Chem 2022; 65:16062-16098. [PMID: 36473091 DOI: 10.1021/acs.jmedchem.2c01265] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Sterol O-acyltransferase (SOAT) is a membrane-bound enzyme that aids the esterification of cholesterol and fatty acids to cholesterol esters. SOAT has been studied extensively as a potential drug target, since its inhibition can serve as an alternative to statin therapy. Two SOAT isozymes that have discrete functions in the human body, namely, SOAT1 and SOAT2, have been characterized. Over three decades of research has focused on candidate SOAT1 inhibitors with unsatisfactory results in clinical trials. Recent research has focused on targeting SOAT2 selectively. In this perspective, we summarize the literature covering various SOAT inhibitory agents and discuss the design, structural requirements, and mode of action of SOAT inhibitors.
Collapse
Affiliation(s)
- Pinaki Bhattacharjee
- Section on Medicinal Chemistry, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, 5625 Fishers Lane, Rockville, Maryland 20852, United States
| | - Nicholas Rutland
- Section on Medicinal Chemistry, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, 5625 Fishers Lane, Rockville, Maryland 20852, United States
| | - Malliga R Iyer
- Section on Medicinal Chemistry, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, 5625 Fishers Lane, Rockville, Maryland 20852, United States
| |
Collapse
|
6
|
Guo C, He Y, Chen L, Li Y, Wang Y, Bao Y, Zeng N, Jiang F, Zhou H, Zhang L. Integrated bioinformatics analysis and experimental validation reveals fatty acid metabolism-related prognostic signature and immune responses for uterine corpus endometrial carcinoma. Front Oncol 2022; 12:1030246. [DOI: 10.3389/fonc.2022.1030246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 10/24/2022] [Indexed: 11/10/2022] Open
Abstract
BackgroundUterine corpus endometrial carcinoma (UCEC) is the third most common gynecologic malignancy. Fatty acid metabolism (FAM) is an essential metabolic process in the immune microenvironment that occurs reprogramming in the presence of tumor signaling and nutrient competition. This study aimed to identify the fatty acid metabolism-related genes (FAMGs) to develop a risk signature for predicting UCEC.MethodsThe differentially expressed FAMGs between UCEC samples and controls from TCGA database were discovered. A prognostic signature was then constructed by univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analyses. Based on the median risk score, UCEC samples were categorized into high- and low-FAMGs groups. Kaplan-Meier (K-M) curve was applied to determine patients’ overall survival (OS). The independent prognostic value was assessed by uni- and multivariate analyses. The associations between the risk score and immune status, immune score, and drug resistance were evaluated. Quantitative Real-time PCR (qRT-PCR) was utilized to confirm FAMGs expression levels in UCEC cells.ResultsWe built a 10-FAMGs prognostic signature and examined the gene mutation and copy number variations (CNV). Patients with a high-FAMGs had a worse prognosis compared to low-FAMGs patients in TCGA train and test sets. We demonstrated that FAMGs-based risk signature was a significant independent prognostic predictor of UCEC. A nomogram was also created incorporating this risk model and clinicopathological features, with high prognostic performance for UCEC. The immune status of each group was varied, and immune score was higher in a low-FAMGs group. HLA-related genes such as DRB1, DMA, DMB, and DQB2 had higher expression levels in the low-FAMGs group. Meanwhile, high-FAMGs patients were likely to response more strongly to the targeted drugs Bortezomib, Foretinib and Gefitinib. The qRT-PCR evidence further verified the significant expression of FAMGs in this signature.ConclusionsA FAMGs-based risk signature might be considered as an independent prognostic indicator to predict UCEC prognosis, evaluate immune status and provide a new direction for therapeutic strategies.
Collapse
|
7
|
Pei Z, Qin Y, Fu X, Yang F, Huo F, Liang X, Wang S, Cui H, Lin P, Zhou G, Yan J, Wu J, Chen ZN, Zhu P. Inhibition of ferroptosis and iron accumulation alleviates pulmonary fibrosis in a bleomycin model. Redox Biol 2022; 57:102509. [PMID: 36302319 PMCID: PMC9614651 DOI: 10.1016/j.redox.2022.102509] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 10/10/2022] [Indexed: 11/30/2022] Open
Abstract
Idiopathic pulmonary fibrosis (IPF) is a chronic progressive disease characterized by excessive proliferation of fibroblasts and excessive accumulation of extracellular matrix (ECM). Ferroptosis is a novel form of cell death characterized by the lethal accumulation of iron and lipid peroxidation, which is associated with many diseases. Our study addressed the potential role played by ferroptosis and iron accumulation in the progression of pulmonary fibrosis. We found that the inducers of pulmonary fibrosis and injury, namely, bleomycin (BLM) and lipopolysaccharide (LPS), induced ferroptosis of lung epithelial cells. Both the ferroptosis inhibitor liproxstatin-1 (Lip-1) and the iron chelator deferoxamine (DFO) alleviated the symptoms of pulmonary fibrosis induced by bleomycin or LPS. TGF-β stimulation upregulated the expression of transferrin receptor protein 1 (TFRC) in the human lung fibroblast cell line (MRC-5) and mouse primary lung fibroblasts, resulting in increased intracellular Fe2+, which promoted the transformation of fibroblasts into myofibroblasts. Mechanistically, TGF-β enhanced the expression and nuclear localization of the transcriptional coactivator tafazzin (TAZ), which combined with the transcription factor TEA domain protein (TEAD)-4 to promote the transcription of TFRC. In addition, elevated Fe2+ failed to induce the ferroptosis of fibroblasts, which might be related to the regulation of iron export and lipid metabolism. Finally, we specifically knocked out TFRC expression in fibroblasts in mice, and compared with those in the control mice, the symptoms of pulmonary fibrosis were reduced in the knockout mice after bleomycin induction. Collectively, these findings suggest the therapeutic potential of ferroptosis inhibitors and iron chelators in treating pulmonary fibrosis.
Collapse
Affiliation(s)
- Zhuo Pei
- National Translational Science Center for Molecular Medicine and Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Yifei Qin
- Guangzhou (Jinan) Biomedical Research and Development Center, Institute of Biomedicine, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China
| | - Xianghui Fu
- National Translational Science Center for Molecular Medicine and Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Fengfan Yang
- National Translational Science Center for Molecular Medicine and Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Fei Huo
- National Translational Science Center for Molecular Medicine and Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Xue Liang
- National Translational Science Center for Molecular Medicine and Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Shijie Wang
- National Translational Science Center for Molecular Medicine and Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Hongyong Cui
- National Translational Science Center for Molecular Medicine and Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Peng Lin
- National Translational Science Center for Molecular Medicine and Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Gang Zhou
- National Translational Science Center for Molecular Medicine and Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Jiangna Yan
- National Translational Science Center for Molecular Medicine and Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Jiao Wu
- National Translational Science Center for Molecular Medicine and Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
| | - Zhi-Nan Chen
- National Translational Science Center for Molecular Medicine and Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
| | - Ping Zhu
- National Translational Science Center for Molecular Medicine and Department of Clinical Immunology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China.
| |
Collapse
|
8
|
Li D, Liang J, Zhang W, Wu X, Fan J. A Distinct Glucose Metabolism Signature of Lung Adenocarcinoma With Prognostic Value. Front Genet 2022; 13:860677. [PMID: 35615380 PMCID: PMC9125243 DOI: 10.3389/fgene.2022.860677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 04/04/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Lung adenocarcinoma (LUAD) remains the most common type of lung cancer and is the main cause of cancer-related death worldwide. Reprogramming of glucose metabolism plays a crucial role in tumorigenesis and progression. However, the regulation of glucose metabolism is still being explored in LUAD. Determining the underlying clinical value of glucose metabolism will contribute in increasing clinical interventions. Our study aimed to conduct a comprehensive analysis of the landscape of glucose metabolism-related genes in LUAD and develop a prognostic risk signature. Methods: We extracted the RNA-seq data and relevant clinical variants from The Cancer Genome Atlas (TCGA) database and identified glucose metabolism-related genes associated with the outcome by correlation analysis. To generate a prognostic signature, least absolute shrinkage and selection operator (LASSO) Cox regression analysis was performed. Results: Finally, ten genes with expression status were identified to generate the risk signature, including FBP2, ADH6, DHDH, PRKCB, INPP5J, ABAT, HK2, GNPNAT1, PLCB3, and ACAT2. Survival analysis indicated that the patients in the high-risk group had a worse survival than those in the low-risk group, which is consistent with the results in validated cohorts. And receiver operating characteristic (ROC) curve analysis further validated the prognostic value and predictive performance of the signature. In addition, the two risk groups had significantly different clinicopathological characteristics and immune cell infiltration status. Notably, the low-risk group is more likely to respond to immunotherapy. Conclusion: Overall, this study systematically explored the prognostic value of glucose metabolism and generated a prognostic risk signature with favorable efficacy and accuracy, which help select candidate patients and explore potential therapeutic approaches targeting the reprogrammed glucose metabolism in LUAD.
Collapse
Affiliation(s)
- Ding Li
- Department of Pharmacy, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Jiaming Liang
- Department of Internal Medicine, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenzhou Zhang
- Department of Pharmacy, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Xuan Wu
- Department of Respiratory and Critical Care Medicine, Zhengzhou University People’s Hospital, Zhengzhou, China
- Academy of Medical Science, Zhengzhou University, Zhengzhou, China
- *Correspondence: Jie Fan, ; Xuan Wu,
| | - Jie Fan
- Department of Head Neck and Thyroid Surgery, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
- *Correspondence: Jie Fan, ; Xuan Wu,
| |
Collapse
|
9
|
Websdale A, Kiew Y, Chalmers P, Chen X, Cioccoloni G, Hughes TA, Luo X, Mwarzi R, Poirot M, Røberg-Larsen H, Wu R, Xu M, Zulyniak MA, Thorne JL. Pharmacologic and genetic inhibition of cholesterol esterification enzymes reduces tumour burden: A systematic review and meta-analysis of preclinical models. Biochem Pharmacol 2021; 196:114731. [PMID: 34407453 DOI: 10.1016/j.bcp.2021.114731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 08/10/2021] [Accepted: 08/11/2021] [Indexed: 12/09/2022]
Abstract
Cholesterol esterification proteins Sterol-O acyltransferases (SOAT) 1 and 2 are emerging prognostic markers in many cancers. These enzymes utilise fatty acids conjugated to coenzyme A to esterify cholesterol. Cholesterol esterification is tightly regulated and enables formation of lipid droplets that act as storage organelles for lipid soluble vitamins and minerals, and as cholesterol reservoirs. In cancer, this provides rapid access to cholesterol to maintain continual synthesis of the plasma membrane. In this systematic review and meta-analysis, we summarise the current depth of understanding of the role of this metabolic pathway in pan-cancer development. A systematic search of PubMed, Scopus, Web of Science, and Cochrane Library for preclinical studies identified eight studies where cholesteryl ester concentrations were compared between tumour and adjacent-normal tissue, and 24 studies where cholesterol esterification was blocked by pharmacological or genetic approaches. Tumour tissue had a significantly greater concentration of cholesteryl esters than non-tumour tissue (p < 0.0001). Pharmacological or genetic inhibition of SOAT was associated with significantly smaller tumours of all types (p ≤ 0.002). SOAT inhibition increased tumour apoptosis (p = 0.007), CD8 + lymphocyte infiltration and cytotoxicity (p ≤ 0.05), and reduced proliferation (p = 0.0003) and metastasis (p < 0.0001). Significant risk of publication bias was found and may have contributed to a 32% overestimation of the meta-analysed effect size. Avasimibe, the most frequently used SOAT inhibitor, was effective at doses equivalent to those previously reported to be safe and tolerable in humans. This work indicates that SOAT inhibition should be explored in clinical trials as an adjunct to existing anti-neoplastic agents.
Collapse
Affiliation(s)
- Alex Websdale
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK
| | - Yi Kiew
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK
| | - Philip Chalmers
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK
| | - Xinyu Chen
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK
| | - Giorgia Cioccoloni
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK
| | | | - Xinyu Luo
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK
| | - Rufaro Mwarzi
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK
| | - Marc Poirot
- Cancer Research Center of Toulouse, Inserm, CNRS, University of Toulouse, Toulouse, France
| | | | - Ruoying Wu
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK
| | - Mengfan Xu
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK
| | - Michael A Zulyniak
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK
| | - James L Thorne
- School of Food Science and Nutrition, University of Leeds, Leeds LS2 9JT, UK.
| |
Collapse
|
10
|
Wu J, Lin Q, Li S, Shao X, Zhu X, Zhang M, Zhou W, Ni Z. Periostin Contributes to Immunoglobulin a Nephropathy by Promoting the Proliferation of Mesangial Cells: A Weighted Gene Correlation Network Analysis. Front Genet 2021; 11:595757. [PMID: 33488671 PMCID: PMC7817997 DOI: 10.3389/fgene.2020.595757] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 11/26/2020] [Indexed: 11/13/2022] Open
Abstract
Immunoglobulin A nephropathy (IgAN) is a known cause of end-stage kidney disease, but the pathogenesis and factors affecting prognosis are not fully understood. In the present study, we carried out weighted gene correlation network analysis (WGCNA) to identify hub genes related to the occurrence of IgAN and validated candidate genes in experiments using mouse mesangial cells (MMCs) and clinical specimens (kidney tissue from IgAN patients and healthy controls). We screened the GSE37460 and GSE104948 differentially expressed genes common to both datasets and identified periostin (POSTN) as one of the five key genes using the cytoHubba plugin of Cytoscape software and by receiver-operating characteristic curve analysis. The top 25% of genes in the GSE93798 dataset showing variable expression between IgAN and healthy tissue were assessed by WGCNA. The royalblue module in WGCNA was closely related to creatinine and estimated glomerular filtration rate (eGFR) in IgAN patients. POSTN had very high module membership and gene significance values for creatinine (0.82 and 0.66, respectively) and eGFR (0.82 and -0.67, respectively), indicating that it is a co-hub gene. In MMCs, POSTN was upregulated by transforming growth factor β1, and stimulation of MMCs with recombinant POSTN protein resulted in an increase in the level of proliferating cell nuclear antigen (PCNA) and a decrease in that of B cell lymphoma-associated X protein, which were accompanied by enhanced MMC proliferation. POSTN gene knockdown had the opposite effects. Immunohistochemical analysis of kidney tissue specimens showed that POSTN and PCNA levels were elevated, whereas the rate of apoptosis was reduced in IgAN patients relative to healthy controls. POSTN level in the kidney tissue of IgAN patients was positively correlated with creatinine level and negatively correlated with eGFR. Thus, POSTN promotes the proliferation of MCs to promote renal dysfunction in IgAN.
Collapse
Affiliation(s)
- Jingkui Wu
- Department of Nephrology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Qisheng Lin
- Department of Nephrology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Shu Li
- Department of Nephrology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xinghua Shao
- Department of Nephrology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xuying Zhu
- Department of Nephrology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Minfang Zhang
- Department of Nephrology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Wenyan Zhou
- Department of Nephrology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Zhaohui Ni
- Department of Nephrology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| |
Collapse
|