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Zhu J, Zhu X, Shi C, Li Q, Jiang Y, Chen X, Sun P, Jin Y, Wang T, Chen J. Integrative analysis of aging-related genes reveals CEBPA as a novel therapeutic target in non-small cell lung cancer. Cancer Cell Int 2024; 24:267. [PMID: 39068458 PMCID: PMC11282817 DOI: 10.1186/s12935-024-03457-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Accepted: 07/20/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND To explore the impact of ARGs on the prognosis of NSCLC, and its correlation with clinicopathological parameters and immune microenvironment. Preliminary research on the biological functions of CEBPA in NSCLC. METHODS Using consensus clustering analysis to identify molecular subtypes of ARGs in NSCLC patients; employing LASSO regression and multivariate Cox analysis to select 7 prognostic risk genes and construct a prognostic risk model; validating independent prognostic factors of NSCLC using forest plot analysis; analyzing immune microenvironment correlations using ESTIMATE and ssGSEA; assessing correlations between prognostic risk genes via qPCR and Western blot in NSCLC; measuring mRNA and protein expression levels of knocked down and overexpressed CEBPA in NSCLC using CCK-8 and EdU assays; evaluating the effects of knocked down and overexpressed CEBPA on cell proliferation using Transwell experiments; examining the correlation of CEBPA with T cells and B cells using mIHC analysis. RESULTS Consensus clustering analysis identified three molecular subtypes, suggesting significant differential expression of these ARGs in NSCLC prognosis and clinical pathological parameters. There was significant differential expression between the two risk groups in the prognostic risk model, with P < 0.001. The risk score of the prognostic risk model was also P < 0.001. CEBPA exhibited higher mRNA and protein expression levels in NSCLC cell lines. Knockdown of CEBPA significantly reduced mRNA and protein expression levels of CEBPB, YWHAZ, ABL1, and CDK1 in H1650 and A549 cells. siRNA-mediated knockdown of CEBPA markedly inhibited proliferation, migration, and invasion of NSCLC cells, whereas overexpression of CEBPA showed the opposite trend. mIHC results indicated a significant increase in CD3 + CD4+, CD3 + CD8+, and CD20 + cell counts in the high CEBPA expression group. CONCLUSIONS The risk score of the prognostic risk model can serve as an independent prognostic factor, guiding the diagnosis and treatment of NSCLC. CEBPA may serve as a potential tumor biomarker and immune target, facilitating further exploration of the biological functions and immunological relevance in NSCLC.
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Affiliation(s)
- Jiaqi Zhu
- Department of Thoracic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Xiaoren Zhu
- Department of Radiotherapy and Oncology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China
| | - Conglin Shi
- Cancer Immunotherapy Center, Cancer Research Institute, Xuzhou Medical University, Xuzhou, China
| | - Qixuan Li
- Department of Thoracic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Yun Jiang
- Department of Burn and Plastic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China
| | - Xingyou Chen
- School of Medicine, Nantong University, Nantong, China
| | - Pingping Sun
- Department of Clinical Biobank, The Institute of Oncology, Affiliated Hospital of Nantong University, Nantong, China
| | - Yi Jin
- Department of Rheumatology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
| | - Tianyi Wang
- Department of Thoracic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
| | - Jianle Chen
- Department of Thoracic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
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Chen J, Zhao D, Wang Y, Liu M, Zhang Y, Feng T, Xiao C, Song H, Miao R, Xu L, Chen H, Qiu X, Xu Y, Xu J, Cui Z, Wang W, Quan Y, Zhu Y, Huang C, Zheng SG, Zhao JY, Zhu T, Sun L, Fan G. Lactylated Apolipoprotein C-II Induces Immunotherapy Resistance by Promoting Extracellular Lipolysis. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2406333. [PMID: 38981044 DOI: 10.1002/advs.202406333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Indexed: 07/11/2024]
Abstract
Mortality rates due to lung cancer are high worldwide. Although PD-1 and PD-L1 immune checkpoint inhibitors boost the survival of patients with non-small-cell lung cancer (NSCLC), resistance often arises. The Warburg Effect, which causes lactate build-up and potential lysine-lactylation (Kla), links immune dysfunction to tumor metabolism. The role of non-histone Kla in tumor immune microenvironment and immunotherapy remains to be clarified. Here, global lactylome profiling and metabolomic analyses of samples from patients with NSCLC is conducted. By combining multi-omics analysis with in vitro and in vivo validation, that intracellular lactate promotes extracellular lipolysis through lactyl-APOC2 is revealed. Mechanistically, lactate enhances APOC2 lactylation at K70, stabilizing it and resulting in FFA release, regulatory T cell accumulation, immunotherapy resistance, and metastasis. Moreover, the anti-APOC2K70-lac antibody that sensitized anti-PD-1 therapy in vivo is developed. This findings highlight the potential of anti lactyl-APOC2-K70 approach as a new combination therapy for sensitizing immunotherapeutic responses.
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Affiliation(s)
- Jian Chen
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, 507 Zhengmin Road, Shanghai, 200433, P. R. China
| | - Deping Zhao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, 507 Zhengmin Road, Shanghai, 200433, P. R. China
| | - Yupeng Wang
- Department of General Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, P. R. China
| | - Ming Liu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, 507 Zhengmin Road, Shanghai, 200433, P. R. China
| | - Yuan Zhang
- Department of Gastrointestinal Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, P. R. China
| | - Tingting Feng
- Department of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, P. R. China
| | - Chao Xiao
- Department of Gastrointestinal Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200040, P. R. China
| | - Huan Song
- Department of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, P. R. China
| | - Rui Miao
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
| | - Li Xu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, 507 Zhengmin Road, Shanghai, 200433, P. R. China
| | - Hongwei Chen
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
| | - Xiaoying Qiu
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
| | - Yi Xu
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
| | - Jingxuan Xu
- Institute of Transfusion Medicine and Immunology, Mannheim Institute of Innate Immunosciences (MI3), Medical Faculty Mannheim, Heidelberg University, 68167, Mannheim, Germany
| | - Zelin Cui
- Department of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, P. R. China
| | - Wei Wang
- Department of Breast-thyroid Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, P. R. China
| | - Yanchun Quan
- Central Laboratory, Linyi People's Hospital, Shandong, 273300, P. R. China
| | - Yifeng Zhu
- Department of Internal Medicine II, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Chen Huang
- Department of Gastrointestinal Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, P. R. China
| | - Song Guo Zheng
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
- Department of Gastrointestinal Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, P. R. China
| | - Jian-Yuan Zhao
- Department of Immunology, School of Cell and Gene Therapy, Songjiang Research Institute, Shanghai Jiaotong University School of Medicine Affiliated Songjiang Hospital, Shanghai, 200080, P. R. China
| | - Ting Zhu
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
| | - Lianhui Sun
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
- Institute for Developmental and Regenerative Cardiovascular Medicine, MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, P. R. China
| | - Guangjian Fan
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
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Li S, Xie X, Zeng X, Wang S, Lan J. Serum apolipoprotein B to apolipoprotein A-I ratio predicts mortality in patients with heart failure. ESC Heart Fail 2024; 11:99-111. [PMID: 37822135 PMCID: PMC10804159 DOI: 10.1002/ehf2.14547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 09/06/2023] [Accepted: 09/15/2023] [Indexed: 10/13/2023] Open
Abstract
AIMS Apolipoproteins have been reported to be involved in many cardiovascular diseases. The aim of our study was to investigate the prognostic value of apolipoprotein B (ApoB) to apolipoprotein A-I (ApoA-I) ratio (ApoB/ApoA-I) in patients with heart failure (HF). METHODS AND RESULTS We randomly assigned 2400 HF patients into the training cohort (n = 1400) and the validation cohort (n = 1000). Using a receiver operating characteristic curve, we identified the optimal cut-off value of the ApoB/ApoA-I in the training cohort as 0.69, which was further validated in the validation cohort. A propensity score matching (PSM) analysis was conducted to eliminate the imbalance in the baseline characteristics of the high and low ApoB/ApoA-I group. A total of 2242 HF patients were generated in the PSM cohort. We also validated our results with an independent cohort (n = 838). Univariate and multivariate analyses were conducted to explore the independent prognostic value of ApoB/ApoA-I in the training cohort (n = 1400), the validation cohort (n = 1000), the PSM cohort (n = 2242), and the independent cohort (n = 838). Patients with high ApoB/ApoA-I ratio had significantly poorer prognosis compared with those with low ApoB/ApoA-I ratio in the training cohort, the validation cohort, the PSM cohort, and the independent cohort (P < 0.05). Multivariate analysis indicated that the ApoB/ApoA-I was an independent prognostic factor for HF in the training cohort [hazard ratio (HR) = 1.637, 95% confidence interval (CI) = 1.201-2.231, P = 0.002], the validation cohort (HR = 1.54, 95% CI = 1.051-2.257, P = 0.027), the PSM cohort (HR = 1.645, 95% CI = 1.273-2.125, P < 0.001), and the independent cohort (HR = 1.987, 95% CI = 1.251-3.155, P = 0.004). CONCLUSIONS Serum ApoB/ApoA-I ratio is an independent predictor for the prognosis of HF patients.
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Affiliation(s)
- Shiyang Li
- Division of CardiologyPanzhihua Central HospitalPanzhihuaChina
- Panzhihua Central Hospital affiliated to Dali UniversityYunnanChina
| | - Xiaoshuang Xie
- Division of CardiologyPanzhihua Central HospitalPanzhihuaChina
| | - Xiaobin Zeng
- Division of CardiologyPanzhihua Central HospitalPanzhihuaChina
| | - Shihai Wang
- Division of CardiologyPanzhihua Central HospitalPanzhihuaChina
| | - Jianjun Lan
- Division of CardiologyPanzhihua Central HospitalPanzhihuaChina
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Liang Z, Zhang Z, Tan X, Zeng P. Lipids, cholesterols, statins and liver cancer: a Mendelian randomization study. Front Oncol 2023; 13:1251873. [PMID: 37746259 PMCID: PMC10516570 DOI: 10.3389/fonc.2023.1251873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 08/21/2023] [Indexed: 09/26/2023] Open
Abstract
Aim To investigate the causal relationship of serum lipid indicators and lipid-lowering drugs with the risk of liver cancer using Mendelian randomization study. Methods A two-sample Mendelian randomization (TSMR) study was performed to investigate the causal relationship between serum levels of lipid indicators and liver cancer, including low-density lipoprotein cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c), triglycerides (TG), total cholesterol (TC), Apolipoprotein B (ApoB), and Apolipoprotein A1 (ApoA1).Furthermore, instrumental variable weighted regression (IVW) and summary data-based MR (SMR) analyses were performed to investigate the causal effects of lipid-lowering drugs, including statins and PCSK9 inhibitors, on the risk of liver cancer. Results Serum LDL-c and serum TC levels showed negatively associated with liver cancer (n = 22 SNPs, OR = 0.363, 95% CI = 0.231 - 0.570; p = 1.070E-5) (n = 83 SNPs; OR = 0.627, 95% CI = 0.413-0.952; p = 0.028). However, serum levels of TG, HDL-c, and ApoA1 did not show any significant correlation with liver cancer. In the drug target MR (DMR) analyses, HMGCR-mediated level of LDL-c showed an inverse relationship with the risk of liver cancer in the IVW-MR analysis (n = 5 SNPs, OR = 0.201, 95% CI = 0.064 - 0.631; p = 5.95E-03) and SMR analysis (n = 20 SNPs, OR = 0.245, 95% CI = 0.065 - 0.926; p = 0.038) However, PCSK9 did not show any significant association with liver cancer based on both the IVW-MR and SMR analyses. Conclusion Our results demonstrated that reduced levels of LDL-c and TC were associated with an increased risk of liver cancer. Furthermore, lipid-lowering drugs targeting HMGCR such as statins were associated with increased risk of liver cancer.
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Affiliation(s)
- Zicheng Liang
- Graduate School, Hunan University of Traditional Chinese Medicine, Changsha, China
| | - Zhen Zhang
- Department of Oncology, Affiliated Hospital of Hunan Academy of Chinese Medicine, Changsha, China
| | - Xiaoning Tan
- Department of Oncology, Affiliated Hospital of Hunan Academy of Chinese Medicine, Changsha, China
| | - Puhua Zeng
- Department of Oncology, Affiliated Hospital of Hunan Academy of Chinese Medicine, Changsha, China
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Wang X, Zhao M, Zhang C, Chen H, Liu X, An Y, Zhang L, Guo X. Establishment and Clinical Application of the Nomogram Related to Risk or Prognosis of Hepatocellular Carcinoma: A Review. J Hepatocell Carcinoma 2023; 10:1389-1398. [PMID: 37637500 PMCID: PMC10460189 DOI: 10.2147/jhc.s417123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 08/17/2023] [Indexed: 08/29/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the most prevalent primary liver malignancy, accounting for approximately 90% of all primary liver cancers, with high mortality and a poor prognosis. A large number of predictive models have been applied that integrate multiple clinical factors and biomarkers to predict the prognosis of HCC. Nomograms, as easy-to-use prognostic predictive models, are widely used to predict the probability of clinical outcomes. We searched PubMed with the keywords "hepatocellular carcinoma" and "nomogram", and 974 relative literatures were retrieved. According to the construction methodology and the real validity of the nomograms, in this study, 97 nomograms for HCC were selected in 77 publications. These 97 nomograms were established based on more than 100,000 patients, covering seven main prognostic outcomes. The research data of 56 articles are from hospital-based HCC patients, and 13 articles provided external validation results of the nomogram. In addition to AFP, tumor size, tumor number, stage, vascular invasion, age, and other common prognostic risk factors are included in the HCC-related nomogram, more and more biomarkers, including gene mRNA expression, gene polymorphisms, and gene signature, etc. were also included in the nomograms. The establishment, assessment and validation of these nomograms are also discussed in depth. This study would help clinicians construct and select appropriate nomograms to guide precise judgment and appropriate treatments.
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Affiliation(s)
- Xiangze Wang
- Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of China
| | - Minghui Zhao
- Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of China
| | - Chensheng Zhang
- Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of China
| | - Haobo Chen
- Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of China
| | - Xingyu Liu
- School of Computer and Information Engineering, Henan University, Kaifeng, 475004, People’s Republic of China
| | - Yang An
- Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of China
| | - Lu Zhang
- Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of China
| | - Xiangqian Guo
- Department of Preventive Medicine, Institute of Biomedical Informatics, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, 475004, People’s Republic of China
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Feng T, Hou P, Mu S, Fang Y, Li X, Li Z, Wang D, Chen L, Lu L, Lin K, Wang S. Identification of cholesterol metabolism-related subtypes in nonfunctioning pituitary neuroendocrine tumors and analysis of immune infiltration. Lipids Health Dis 2023; 22:127. [PMID: 37563740 PMCID: PMC10413501 DOI: 10.1186/s12944-023-01883-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 07/26/2023] [Indexed: 08/12/2023] Open
Abstract
OBJECTIVE This study aimed to investigate the role of cholesterol metabolism-related genes in nonfunctioning pituitary neuroendocrine tumors (NF-PitNETs) invading the cavernous sinus and analyze the differences in immune cell infiltration between invasive and noninvasive NF-PitNETs. METHODS First, a retrospective analysis of single-center clinical data was performed. Second, the immune cell infiltration between invasive and noninvasive NF-PitNETs in the GSE169498 dataset was further analyzed, and statistically different cholesterol metabolism-related gene expression matrices were obtained from the dataset. The hub cholesterol metabolism-related genes in NF-PitNETs were screened by constructing machine learning models. In accordance with the hub gene, 73 cases of NF-PitNETs were clustered into two subtypes, and the functional differences and immune cell infiltration between the two subtypes were further analyzed. RESULTS The clinical data of 146 NF-PitNETs were evaluated, and the results showed that the cholesterol (P = 0.034) between invasive and noninvasive NF-PitNETs significantly differed. After binary logistic analysis, cholesterol was found to be an independent risk factor for cavernous sinus invasion (CSI) in NF-PitNETs. Bioinformatics analysis found three immune cells between invasive and noninvasive NF-PitNETs were statistically significant in the GSE169498 dataset, and 34 cholesterol metabolism-related genes with differences between the two groups were obtained 12 hub genes were selected by crossing the two machine learning algorithm results. Subsequently, cholesterol metabolism-related subgroups, A and B, were obtained by unsupervised hierarchical clustering analysis. The results showed that 12 immune cells infiltrated differentially between the two subgroups. The chi-square test revealed that the two subgroups had statistically significance in the invasive and noninvasive samples (P = 0.001). KEGG enrichment analysis showed that the differentially expressed genes were mainly enriched in the neural ligand-receptor pathway. GSVA analysis showed that the mTORC signaling pathway was upregulated and played an important role in the two-cluster comparison. CONCLUSION By clinical data and bioinformatics analysis, cholesterol metabolism-related genes may promote the infiltration abundance of immune cells in NF-PitNETs and the invasion of cavernous sinuses by NF-PitNETs through the mTOR signaling pathway. This study provides a new perspective to explore the pathogenesis of cavernous sinus invasion by NF-PitNETs and determine potential therapeutic targets for this disease.
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Grants
- 2019Y9045 the Joint Funds for the Innovation of Science and Technology, Fujian Province
- 2019Y9045 the Joint Funds for the Innovation of Science and Technology, Fujian Province
- 2019Y9045 the Joint Funds for the Innovation of Science and Technology, Fujian Province
- 2019Y9045 the Joint Funds for the Innovation of Science and Technology, Fujian Province
- 2019Y9045 the Joint Funds for the Innovation of Science and Technology, Fujian Province
- 2019Y9045 the Joint Funds for the Innovation of Science and Technology, Fujian Province
- 2019Y9045 the Joint Funds for the Innovation of Science and Technology, Fujian Province
- 2019Y9045 the Joint Funds for the Innovation of Science and Technology, Fujian Province
- 2019Y9045 the Joint Funds for the Innovation of Science and Technology, Fujian Province
- 2019Y9045 the Joint Funds for the Innovation of Science and Technology, Fujian Province
- 2019Y9045 the Joint Funds for the Innovation of Science and Technology, Fujian Province
- 2020QH2040 Startup Fund for scientific research at Fujian Medical University
- 2020QH2040 Startup Fund for scientific research at Fujian Medical University
- 2020QH2040 Startup Fund for scientific research at Fujian Medical University
- 2020QH2040 Startup Fund for scientific research at Fujian Medical University
- 2020QH2040 Startup Fund for scientific research at Fujian Medical University
- 2020QH2040 Startup Fund for scientific research at Fujian Medical University
- 2020QH2040 Startup Fund for scientific research at Fujian Medical University
- 2020QH2040 Startup Fund for scientific research at Fujian Medical University
- 2020QH2040 Startup Fund for scientific research at Fujian Medical University
- 2020QH2040 Startup Fund for scientific research at Fujian Medical University
- 2020QH2040 Startup Fund for scientific research at Fujian Medical University
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Affiliation(s)
- Tianshun Feng
- Department of Neurosurgery, Dongfang Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Fuzhou, China
| | - Pengwei Hou
- Department of Neurosurgery, Fuzhou 900th Hospital, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Shuwen Mu
- Department of Neurosurgery, Fuzhou 900th Hospital, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Yi Fang
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinxiong Li
- Department of General Surgery, School of Medicine, Dongfang Affiliated Hospital of Xiamen University, Xiamen University, Fuzhou, China
| | - Ziqi Li
- Department of Neurosurgery, Dongfang Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Fuzhou, China
| | - Di Wang
- Department of Molecular Pathology, Fujian Cancer Hospital, Clinical Oncology School of Fujian Medical University, Fuzhou, China
| | - Li Chen
- Department of Neurosurgery, Fuzhou 900th Hospital, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Lingling Lu
- Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Kunzhe Lin
- Department of Neurosurgery, Fuzhou 900th Hospital, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Shousen Wang
- Department of Neurosurgery, Dongfang Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Fuzhou, China.
- Department of Neurosurgery, Fuzhou 900th Hospital, Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China.
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Qiu J, Wang H, Lv X, Mao L, Huang J, Hao T, Li J, Qi S, Chen G, Jiang H. Hepatocellular carcinoma cell differentiation trajectory predicts immunotherapy, potential therapeutic drugs, and prognosis of patients. Open Life Sci 2023; 18:20220656. [PMID: 37589009 PMCID: PMC10426728 DOI: 10.1515/biol-2022-0656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 05/30/2023] [Accepted: 06/10/2023] [Indexed: 08/18/2023] Open
Abstract
The aim of this study is to explore a novel classification and investigate the clinical significance of hepatocellular carcinoma (HCC) cells. We analyzed integrated single-cell RNA sequencing and bulk RNA-seq data obtained from HCC samples. Cell trajectory analysis divided HCC cells into three subgroups with different differentiation states: state 1 was closely related to phosphoric ester hydrolase activity, state 2 was involved in eukaryotic initiation factor 4E binding, translation regulator activity and ribosome, and state 3 was associated with oxidoreductase activity and metabolism. Three molecular classes based on HCC differentiation-related genes (HDRGs) from HCC samples were identified, which revealed immune checkpoint gene expression and overall survival (OS) of HCC patients. Moreover, a prognostic risk scoring (RS) model was generated based on eight HDRGs, and the results showed that the OS of the high-risk group was worse than that of the low-risk group. Further, potential therapeutic drugs were screened out based on eight prognostic RS-HDRGs. This study highlights the importance of HCC cell differentiation in immunotherapy, clinical prognosis, and potential molecular-targeted drugs for HCC patients, and proposes a direction for the development of individualized treatments for HCC.
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Affiliation(s)
- Jun Qiu
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou510630, Guangdong Province, China
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of University of South China, Hengyang421001, Hunan Province, China
| | - Haoyun Wang
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou510630, Guangdong Province, China
| | - Xin Lv
- Department of Clinical Nutrition, The First Affiliated Hospital of Jinan University, Guangzhou510630, Guangdong Province, China
| | - Lipeng Mao
- Department of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou510630, Guangdong Province, China
| | - Junyan Huang
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou510630, Guangdong Province, China
| | - Tao Hao
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou510630, Guangdong Province, China
| | - Junliang Li
- Department of Neurosurgery, Guangzhou Women and Children’s Medical Center, Guangzhou510630, Guangdong Province, China
| | - Shuo Qi
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of University of South China, Hengyang421001, Hunan Province, China
| | - Guodong Chen
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of University of South China, Hengyang421001, Hunan Province, China
| | - Haiping Jiang
- Department of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou510630, Guangdong Province, China
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Jeon AJ, Teo YY, Sekar K, Chong SL, Wu L, Chew SC, Chen J, Kendarsari RI, Lai H, Ling WH, Kaya NA, Lim JQ, Ramasamy A, Oguz G, Chung AYF, Chan CY, Cheow PC, Kam JH, Madhavan K, Kow A, Ganpathi IS, Lim TKH, Leow WQ, Loong S, Loh TJ, Wan WK, Soon GST, Pang YH, Yoong BK, Ong DBL, Lim J, de Villa VH, Cruz RD, Chanwat R, Thammasiri J, Bonney GK, Goh BKP, Tucker-Kellogg G, Foo RSY, Chow PKH. Multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in Hepatocellular Carcinoma. BMC Cancer 2023; 23:118. [PMID: 36737737 PMCID: PMC9896715 DOI: 10.1186/s12885-022-10444-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 12/13/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Conventional differential expression (DE) testing compares the grouped mean value of tumour samples to the grouped mean value of the normal samples, and may miss out dysregulated genes in small subgroup of patients. This is especially so for highly heterogeneous cancer like Hepatocellular Carcinoma (HCC). METHODS Using multi-region sampled RNA-seq data of 90 patients, we performed patient-specific differential expression testing, together with the patients' matched adjacent normal samples. RESULTS Comparing the results from conventional DE analysis and patient-specific DE analyses, we show that the conventional DE analysis omits some genes due to high inter-individual variability present in both tumour and normal tissues. Dysregulated genes shared in small subgroup of patients were useful in stratifying patients, and presented differential prognosis. We also showed that the target genes of some of the current targeted agents used in HCC exhibited highly individualistic dysregulation pattern, which may explain the poor response rate. DISCUSSION/CONCLUSION Our results highlight the importance of identifying patient-specific DE genes, with its potential to provide clinically valuable insights into patient subgroups for applications in precision medicine.
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Affiliation(s)
- Ah-Jung Jeon
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Yue-Yang Teo
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Karthik Sekar
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Shay Lee Chong
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Lingyan Wu
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Sin-Chi Chew
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Jianbin Chen
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Raden Indah Kendarsari
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Hannah Lai
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Wen Huan Ling
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore
| | - Neslihan Arife Kaya
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jia Qi Lim
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Adaikalavan Ramasamy
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Gokce Oguz
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Alexander Yaw-Fui Chung
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore, Singapore
| | - Chung Yip Chan
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore, Singapore
| | - Peng-Chung Cheow
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore, Singapore
| | - Juinn Huar Kam
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore, Singapore
| | - Krishnakumar Madhavan
- grid.410759.e0000 0004 0451 6143Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Alfred Kow
- grid.410759.e0000 0004 0451 6143Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Iyer Shridhar Ganpathi
- grid.410759.e0000 0004 0451 6143Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Tony Kiat Hon Lim
- grid.163555.10000 0000 9486 5048Department of Anatomical Pathology, Singapore General Hospital, Singapore, 169608 Singapore
| | - Wei-Qiang Leow
- grid.163555.10000 0000 9486 5048Department of Anatomical Pathology, Singapore General Hospital, Singapore, 169608 Singapore
| | - Shihleone Loong
- grid.163555.10000 0000 9486 5048Department of Anatomical Pathology, Singapore General Hospital, Singapore, 169608 Singapore
| | - Tracy Jiezhen Loh
- grid.163555.10000 0000 9486 5048Department of Anatomical Pathology, Singapore General Hospital, Singapore, 169608 Singapore
| | - Wei Keat Wan
- grid.163555.10000 0000 9486 5048Department of Anatomical Pathology, Singapore General Hospital, Singapore, 169608 Singapore
| | - Gwyneth Shook Ting Soon
- grid.412106.00000 0004 0621 9599Department of Pathology, National University Hospital, Singapore, 119074 Singapore
| | - Yin Huei Pang
- grid.412106.00000 0004 0621 9599Department of Pathology, National University Hospital, Singapore, 119074 Singapore
| | - Boon Koon Yoong
- grid.10347.310000 0001 2308 5949Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Diana Bee-Lan Ong
- grid.10347.310000 0001 2308 5949Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Jasmine Lim
- grid.10347.310000 0001 2308 5949Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Vanessa H. de Villa
- Department of Surgery and Center for Liver Health and Transplantation, The Medical City, Pasig City, Metro Manila Philippines
| | - Rouchelle D.dela Cruz
- Department of Laboratory Medicine and Pathology, The Medical City, Pasig City, Metro Manila Philippines
| | - Rawisak Chanwat
- grid.419173.90000 0000 9607 5779Hepato-Pancreato-Biliary Surgery Unit, Department of Surgery, National Cancer Institute, Bangkok, Thailand
| | - Jidapa Thammasiri
- grid.419173.90000 0000 9607 5779Division of Pathology, National Cancer Institute, Bangkok, Thailand
| | - Glenn K. Bonney
- grid.410759.e0000 0004 0451 6143Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Brian K. P. Goh
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore, Singapore
| | - Greg Tucker-Kellogg
- grid.4280.e0000 0001 2180 6431Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Roger Sik Yin Foo
- grid.185448.40000 0004 0637 0221Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore ,grid.4280.e0000 0001 2180 6431Cardiovascular Disease Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore ,grid.4280.e0000 0001 2180 6431Cardiovascular Research Institute, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Pierce K. H. Chow
- grid.410724.40000 0004 0620 9745Department of Hepatopancreatobiliary and Transplant Surgery, Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore, Singapore, Singapore ,grid.410724.40000 0004 0620 9745Program in Clinical and Translational Liver Cancer Research, Division of Medical Science, National Cancer Center Singapore, Singapore, Singapore ,grid.428397.30000 0004 0385 0924Academic Clinical Programme for Surgery, Duke-NUS Medical School, Singapore, Singapore
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9
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He Y, Chen J, Ma Y, Chen H. Apolipoproteins: New players in cancers. Front Pharmacol 2022; 13:1051280. [PMID: 36506554 PMCID: PMC9732396 DOI: 10.3389/fphar.2022.1051280] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 11/15/2022] [Indexed: 11/26/2022] Open
Abstract
Apolipoproteins (APOs), the primary protein moiety of lipoproteins, are known for their crucial role in lipid traffic and metabolism. Despite extensive exploration of APOs in cardiovascular diseases, their roles in cancers did not attract enough attention. Recently, research focusing on the roles of APOs in cancers has flourished. Multiple studies demonstrate the interaction of APOs with classical pathways of tumorigenesis. Besides, the dysregulation of APOs may indicate cancer occurrence and progression, thus serving as potential biomarkers for cancer patients. Herein, we summarize the mechanisms of APOs involved in the development of various cancers, their applications as cancer biomarkers and their genetic polymorphism associated with cancer risk. Additionally, we also discuss the potential anti-cancer therapies by virtue of APOs. The comprehensive review of APOs in cancers may advance the understanding of the roles of APOs in cancers and their potential mechanisms. We hope that it will provide novel clues and new therapeutic strategies for cancers.
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Affiliation(s)
- Yingcheng He
- Department of Histology and Embryology, Medical College of Nanchang University, Nanchang, Jiangxi, China,Medical Department, Queen Mary School, Nanchang University, Nanchang, Jiangxi, China
| | - Jianrui Chen
- Department of Histology and Embryology, Medical College of Nanchang University, Nanchang, Jiangxi, China,Medical Department, Queen Mary School, Nanchang University, Nanchang, Jiangxi, China
| | - Yanbing Ma
- Department of Histology and Embryology, Medical College of Nanchang University, Nanchang, Jiangxi, China,Medical Department, Queen Mary School, Nanchang University, Nanchang, Jiangxi, China
| | - Hongping Chen
- Department of Histology and Embryology, Medical College of Nanchang University, Nanchang, Jiangxi, China,Jiangxi Key Laboratory of Experimental Animals, Nanchang University, Nanchang, Jiangxi, China,*Correspondence: Hongping Chen,
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10
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Screening for Lipid-Metabolism-Related Genes and Identifying the Diagnostic Potential of ANGPTL6 for HBV-Related Early-Stage Hepatocellular Carcinoma. Biomolecules 2022; 12:biom12111700. [DOI: 10.3390/biom12111700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 11/12/2022] [Accepted: 11/13/2022] [Indexed: 11/18/2022] Open
Abstract
Lipid metabolic reprogramming is one of the hallmarks of hepatocarcinogenesis and development. Therefore, lipid-metabolism-related genes may be used as potential biomarkers for hepatocellular carcinoma (HCC). This study aimed to screen for genes with dysregulated expression related to lipid metabolism in HCC and explored the clinical value of these genes. We screened differentially expressed proteins between tumorous and adjacent nontumorous tissues of hepatitis B virus (HBV)-related HCC patients using a Nanoscale Liquid Chromatography–Tandem Mass Spectrometry platform and combined it with transcriptomic data of lipid-metabolism-related genes from the GEO and HPA databases to identify dysregulated genes that may be involved in lipid metabolic processes. The potential clinical values of these genes were explored by bioinformatics online analysis tools (GEPIA, cBioPortal, SurvivalMeth, and TIMER). The expression levels of the secreted protein (angiopoietin-like protein 6, ANGPTL6) in serum were analyzed by ELISA. The ability of serum ANGPTL6 to diagnose early HCC was assessed by ROC curves. The results showed that serum ANGPTL6 could effectively differentiate between HBV-related early HCC patients with normal serum alpha-fetoprotein (AFP) levels and the noncancer group (healthy participants and chronic hepatitis B patients) (AUC = 0.717, 95% CI: from 0.614 to 0.805). Serum ANGPTL6 can be used as a potential second-line biomarker to supplement serum AFP in the early diagnosis of HBV-related HCC.
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11
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Bhale AS, Venkataraman K. Leveraging knowledge of HDLs major protein ApoA1: Structure, function, mutations, and potential therapeutics. Biomed Pharmacother 2022; 154:113634. [PMID: 36063649 DOI: 10.1016/j.biopha.2022.113634] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 08/27/2022] [Accepted: 08/30/2022] [Indexed: 11/02/2022] Open
Abstract
Apolipoprotein A1 (ApoA1) is a member of the Apolipoprotein family of proteins. It's a vital protein that helps in the production of high-density lipoprotein (HDL) particles, which are crucial for reverse cholesterol transport (RCT). It also has anti-inflammatory, anti-atherogenic, anti-apoptotic, and anti-thrombotic properties. These functions interact to give HDL particles their cardioprotective characteristics. ApoA1 has recently been investigated for its potential role in atherosclerosis, diabetes, neurological diseases, cancer, and certain infectious diseases. Since ApoA1's discovery, numerous mutations have been reported that affect its structural integrity and alter its function. Hence these insights have led to the development of clinically relevant peptides and synthetic reconstituted HDL (rHDL) that mimics the function of ApoA1. As a result, this review has aimed to provide an organized explanation of our understanding of the ApoA1 protein structure and its role in various essential pathways. Furthermore, we have comprehensively reviewed the important ApoA1 mutations (24 mutations) that are reported to be involved in various diseases. Finally, we've focused on the therapeutic potentials of some of the beneficial mutations, small peptides, and synthetic rHDL that are currently being researched or developed, since these will aid in the development of novel therapeutics in the future.
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Affiliation(s)
- Aishwarya Sudam Bhale
- Centre for Bio-Separation Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India
| | - Krishnan Venkataraman
- Centre for Bio-Separation Technology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India.
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12
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Abstract
Ebola virus (EBV) disease (EVD) is a highly virulent systemic disease characterized by an aggressive systemic inflammatory response and impaired vascular and coagulation systems, often leading to uncontrolled hemorrhaging and death. In this study, the proteomes of 38 sequential plasma samples from 12 confirmed EVD patients were analyzed. Of these 12 cases, 9 patients received treatment with interferon beta 1a (IFN-β-1a), 8 survived EVD, and 4 died; 2 of these 4 fatalities had received IFN-β-1a. Our analytical strategy combined three platforms targeting different plasma subproteomes: a liquid chromatography-mass spectrometry (LC-MS)-based analysis of the classical plasma proteome, a protocol that combines the depletion of abundant plasma proteins and LC-MS to detect less abundant plasma proteins, and an antibody-based cytokine/chemokine multiplex assay. These complementary platforms provided comprehensive data on 1,000 host and viral proteins. Examination of the early plasma proteomes revealed protein signatures that differentiated between fatalities and survivors. Moreover, IFN-β-1a treatment was associated with a distinct protein signature. Next, we examined those proteins whose abundances reflected viral load measurements and the disease course: resolution or progression. Our data identified a prognostic 4-protein biomarker panel (histone H1-5, moesin, kininogen 1, and ribosomal protein L35 [RPL35]) that predicted EVD outcomes more accurately than the onset viral load. IMPORTANCE As evidenced by the 2013-2016 outbreak in West Africa, Ebola virus (EBV) disease (EVD) poses a major global health threat. In this study, we characterized the plasma proteomes of 12 individuals infected with EBV, using two different LC-MS-based proteomics platforms and an antibody-based multiplexed cytokine/chemokine assay. Clear differences were observed in the host proteome between individuals who survived and those who died, at both early and late stages of the disease. From our analysis, we derived a 4-protein prognostic biomarker panel that may help direct care. Given the ease of implementation, a panel of these 4 proteins or subsets thereof has the potential to be widely applied in an emergency setting in resource-limited regions.
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13
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Li X, Wang L, Wang L, Feng Z, Peng C. Single-Cell Sequencing of Hepatocellular Carcinoma Reveals Cell Interactions and Cell Heterogeneity in the Microenvironment. Int J Gen Med 2021; 14:10141-10153. [PMID: 34992435 PMCID: PMC8711111 DOI: 10.2147/ijgm.s338090] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 12/01/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is the main histological subtype of liver cancer, which has the characteristics of poor prognosis and high fatality rate. Single-cell sequencing can provide quantitative and unbiased characterization of cell heterogeneity by analyzing the molecular profile of the whole genome of thousands of single cells. Thus, the purpose of this study was to identify novel prognostic markers for HCC based on single-cell sequencing data. METHODS Single-cell sequencing of 21 HCC samples and 256 normal liver tissue samples in the GSE124395 dataset was collected from the Gene Expression Omnibus (GEO) database. The quality-controlled cells were grouped by unsupervised cluster analysis and identified the marker genes of each cell cluster. Hereafter, these cell clusters were annotated by singleR and CellMarker according to the expression patterns of the marker genes. Pseudotime analysis was performed to construct the trajectory of cell evolution and to define hub genes in the evolution process. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used to explore the potential regulatory mechanism of hub genes in HCC. Next, the differential expression of hub genes and the correlation of the expression of these genes with patients' survival and diagnosis were investigated in The Cancer Genome Atlas (TCGA) database. RESULTS A total of 9 clusters corresponding to 9 cell types, including NKT cells, hepatocytes, endothelial cells, Kupffer cells, EPCAM+ cells, cancer cells, plasma cells (B cells), immature B cells, and myofibroblasts were identified. We screened 63 key genes related to cell differentiation through trajectory analysis, which were enriched in the process of coagulation. Ultimately, we identified 10 survival-related hub genes in the TCGA database, namely ALDOB, APOC3, APOH, CYP2E1, CYP3A4, GC, HRG, LINC01554, PDK4, and TXN. CONCLUSION In conclusion, ALDOB, APOC3, APOH, CYP2E1, CYP3A4, GC, HRG, LINC01554, PDK4, and TXN may serve as hub genes in the diagnosis and prognosis for HCC.
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Affiliation(s)
- Xinyao Li
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, People’s Republic of China
| | - Lei Wang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, People’s Republic of China
| | - Liusong Wang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, People’s Republic of China
| | - Zanjie Feng
- Department of Biochemistry and Molecular Biology, Zunyi Medical University, Zunyi, People’s Republic of China
| | - Cijun Peng
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi, People’s Republic of China
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14
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Meng H, Ruan J, Chen Y, Yan Z, Shi K, Li X, Yang P, Meng F. Investigation of Specific Proteins Related to Different Types of Coronary Atherosclerosis. Front Cardiovasc Med 2021; 8:758035. [PMID: 34746269 PMCID: PMC8569131 DOI: 10.3389/fcvm.2021.758035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 09/27/2021] [Indexed: 12/28/2022] Open
Abstract
Objective: Coronary heart disease (CHD) is a complex disease caused by multifaceted interaction between genetic and environmental factors, which makes identification of the most likely disease candidate proteins and their associated risk markers a big challenge. Atherosclerosis is presented by a broad spectrum of heart diseases, including stable coronary artery disease (SCAD) and acute myocardial infarction (AMI), which is the progressive stage of SCAD. As such, the correct and prompt diagnosis of atherosclerosis turns into imperative for precise and prompt disease diagnosis, treatment and prognosis. Methods: The current work aims to look for specific protein markers for differential diagnosis of coronary atherosclerosis. Thirty male patients between 45 and 55 years diagnosed with atherosclerosis were analyzed by tandem mass tag (TMT) mass spectrometry. The study excluded those who were additionally diagnosed with hypertension and type 1 and 2 diabetes. The Mufuzz analysis was applied to select target proteins for precise and prompt diagnosis of atherosclerosis, most of which were most related to high lipid metabolism. The parallel reaction monitoring (PRM) was used to verify the selected target proteins. Finally, The receiver operating characteristic curve (ROC) was calculated by a random forest experiment. Results: One thousand one hundred and forty seven proteins were identified in the TMT mass spectrometry, 907 of which were quantifiable. In the PRM study, six proteins related to lipid metabolism pathway were selected for verification and they were ALB, SHBG, APOC2, APOC3, APOC4, SAA4. Conclusion: Through the detected specific changes in these six proteins, our results provide accuracy in atherosclerosis patients' diagnosis, especially in cases with varying types of the disease.
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Affiliation(s)
- Heyu Meng
- Jilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease, Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease, Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Jianjun Ruan
- Jilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease, Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease, Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Yanqiu Chen
- Jilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease, Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease, Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Zhaohan Yan
- Jilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease, Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease, Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Kaiyao Shi
- Jilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease, Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease, Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Xiangdong Li
- Jilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease, Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease, Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Ping Yang
- Jilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease, Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease, Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Fanbo Meng
- Jilin Provincial Precision Medicine Key Laboratory for Cardiovascular Genetic Diagnosis (Jilin Provincial Engineering Laboratory for Endothelial Function and Genetic Diagnosis of Cardiovascular Disease, Jilin Provincial Molecular Biology Research Center for Precision Medicine of Major Cardiovascular Disease, Jilin Provincial Cardiovascular Research Institute), Department of Cardiology, China-Japan Union Hospital of Jilin University, Changchun, China
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15
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Xu Q, Chen Y. An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Lung Adenocarcinoma. Front Cell Dev Biol 2021; 9:685379. [PMID: 34277626 PMCID: PMC8283194 DOI: 10.3389/fcell.2021.685379] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 06/07/2021] [Indexed: 12/11/2022] Open
Abstract
Aging is an inevitable time-dependent process associated with a gradual decline in many physiological functions. Importantly, some studies have supported that aging may be involved in the development of lung adenocarcinoma (LUAD). However, no studies have described an aging-related gene (ARG)-based prognosis signature for LUAD. Accordingly, in this study, we analyzed ARG expression data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). After LASSO and Cox regression analyses, a six ARG-based signature (APOC3, EPOR, H2AFX, MXD1, PLCG2, and YWHAZ) was constructed using TCGA dataset that significantly stratified cases into high- and low-risk groups in terms of overall survival (OS). Cox regression analysis indicated that the ARG signature was an independent prognostic factor in LUAD. A nomogram based on the ARG signature and clinicopathological factors was developed in TCGA cohort and validated in the GEO dataset. Moreover, to visualize the prediction results, we established a web-based calculator yurong.shinyapps.io/ARGs_LUAD/. Calibration plots showed good consistency between the prediction of the nomogram and actual observations. Receiver operating characteristic curve and decision curve analyses indicated that the ARG nomogram had better OS prediction and clinical net benefit than the staging system. Taken together, these results established a genetic signature for LUAD based on ARGs, which may promote individualized treatment and provide promising novel molecular markers for immunotherapy.
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Affiliation(s)
- Qian Xu
- Health Management Center, First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yurong Chen
- Department of Medical Oncology, Zhuji People's Hospital of Zhejiang Province, Zhuji Affiliated Hospital of Shaoxing University, Zhuji, China
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16
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Peng Y, Dong S, Yang Z, Song Y, Ding J, Hou D, Wang L, Zhang Z, Li N, Wang H. Identification of docetaxel-related biomarkers for prostate cancer. Andrologia 2021; 53:e14079. [PMID: 34021502 DOI: 10.1111/and.14079] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 04/05/2021] [Accepted: 04/08/2021] [Indexed: 12/19/2022] Open
Abstract
Prostate cancer (PCa) which was the second commonly diagnosed malignancy, contributed to the top fifth carcinoma death in men. Nevertheless, the main chemotherapeutic agent docetaxel came to failure due to chemoresistance. Recently, increasing evidence suggested the importance of tumour microenvironment (TME) in PCa. The present study aimed to explore the specific TME in PCa and find biomarkers related to both immune infiltration and docetaxel. The docetaxel-specific genes and differential expression genes comparing PCa with normal control samples were derived using DESeq2 and zinbwave with GSE140440, TCGA and GTEx datasets. Immune-infiltration-related genes were identified using CIBERSORT and co-expression network analysis. Key genes related to both docetaxel and immune infiltrating in PCa, including nine genes, namely ZNF486, IFI6, TMOD2, HSPA4L, ITPR1, LRRC37A7P, APOC1, APOBEC3G, and ITGA2, were determined by overlapping above three gene sets. ITGA2 was then defined as the hub gene for its significant prognostic implications. Further validations conducted on Oncomine, GEO, TISIDB, MSigDB, and The Human Protein Atlas confirmed the docetaxel-specific and immune infiltrating characteristics of ITGA2. To sum up, our findings could provide a better understanding of immune infiltrating and docetaxel-resistance in PCa, mostly, ITGA2 could serve as potential prognosis biomarkers and targets for the combination of docetaxel.
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Affiliation(s)
- Yun Peng
- Tianjin Institute of Urology, The 2nd Hospital of Tianjin Medical University, Tianjin, China
| | - Shiqiang Dong
- Tianjin Institute of Urology, The 2nd Hospital of Tianjin Medical University, Tianjin, China
| | - Zhikai Yang
- Tianjin Institute of Urology, The 2nd Hospital of Tianjin Medical University, Tianjin, China
| | - Yuxuan Song
- Department of Urology, Tianjin Medical University General Hospital, Tianjin, China
| | - Jin Ding
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Dingkun Hou
- Tianjin Institute of Urology, The 2nd Hospital of Tianjin Medical University, Tianjin, China
| | - Lili Wang
- Department of Oncology, The 2nd Hospital of Tianjin Medical University, Tianjin, China
| | - Zheyu Zhang
- Tianjin Institute of Urology, The 2nd Hospital of Tianjin Medical University, Tianjin, China
| | - Nan Li
- Tianjin Institute of Urology, The 2nd Hospital of Tianjin Medical University, Tianjin, China
| | - Haitao Wang
- Department of Oncology, The 2nd Hospital of Tianjin Medical University, Tianjin, China
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17
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Zhang L, Huang P, Huang C, Jiang L, Lu Z, Wang P. Varied clinical significance of ATP-binding cassette C sub-family members for lung adenocarcinoma. Medicine (Baltimore) 2021; 100:e25246. [PMID: 33879658 PMCID: PMC8078454 DOI: 10.1097/md.0000000000025246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 03/01/2021] [Indexed: 12/25/2022] Open
Abstract
Lung adenocarcinoma (LUAD) is a lethal malignancy worldwide and a major public health concern. We explored the potential clinical significance for LUAD of ATP-binding cassette (ABC), sub-family C, consisting of ABCC1-6, 8-12, and cystic fibrosis transmembrane conductance regulator (CFTR).Five hundred LUAD patients from The Cancer Genome Atlas database were used for analysis, including differential expression and diagnostic and prognostic significance. Oncomine and MERAV databases were used to validate differential expression and diagnostic significance. A risk score model was constructed using prognosis-related ABCC members. Prognosis-related genes were further explored to correlate their expression with tumor stage progression. Interaction networks, including biological processes and metabolic pathways, were constructed using Cytoscape software and STRING website.ABCC1-3 consistently showed high expression in tumor tissues (all P ≤ 0.05). Most datasets indicated that ABCC5, 10, and 11 were highly expressed in tumor tissues whereas ABCC6, 9, and CFTR were highly expressed in nontumor tissues (all P ≤ 0.05). Diagnostic significance of ABCC3 and ABCC5 was consistently assessed and validated in three datasets (all area under the curve > 0.700) whereas ABCC6, 8, 10, 11, and CFTR were assessed in The Cancer Genome Atlas dataset and validated in one dataset (all area under the curve > 0.700). Prognostic analysis indicated that ABCC2, 6, and 8 mRNA expression was associated with survival of LUAD (all adjusted P ≤ .037). The risk score model constructed using ABCC2, 6, and 8 suggested prognostic significance for survival predictions. ABCC2 expression was associated with tumor stage, whereas ABCC6 and 8 were not. Interaction networks indicated that they were involved in establishment of localization, ion transport, plasma membrane, apical plasma membrane, adenylyl nucleotide binding, ABC transporters, ABC transporter disorders, ABC-family-protein-mediated transport, and bile secretion.Differentially expressed ABCC2 and ABCC5 might be diagnostic whereas ABCC2, 6, and 8 may be prognostic biomarkers for LUAD, possibly through ABC-family-mediated transporter disorders.
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18
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Chen J, Chen YJ, Jiang N, Xu JL, Liang ZM, Bai MJ, Xing YF, Liu Z, Wu XY, Li X. Neutrophil-to-Apolipoprotein A1 Ratio Predicted Overall Survival in Hepatocellular Carcinoma Receiving Transarterial Chemoembolization. Oncologist 2021; 26:e1434-e1444. [PMID: 33675070 DOI: 10.1002/onco.13743] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 08/04/2020] [Indexed: 12/16/2022] Open
Abstract
PURPOSE The purpose of this study was to investigate the predictive capability of neutrophil-to-apolipoprotein A1 ratio (NAR) for predicting overall survival (OS) among patients with hepatocellular carcinoma (HCC) receiving transarterial chemoembolization (TACE). PATIENTS AND METHODS We investigated the clinical features of 554 patients with HCC receiving TACE and assessed NAR's predictive value for OS with 222 patients (the discovery cohort) and 332 patients (the validation cohort). The association of NAR with circulation lectin-type oxidized low-density lipoprotein receptor-1-positive (LOX-1+ ) polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs) was illustrated. RESULTS Multivariate Cox regression revealed that lymphocyte count; Tumor, Node, Metastasis (TNM) stage; and NAR were independent prognostic factors in the discovery cohort. The validation cohort confirmed the independent prognostic value of TNM stage and NAR. Patients with low NAR (<2.7) displayed significantly increased OS in the discovery cohort (59.8 months vs. 21 months), the validation group (38.0 months vs. 23.6 months), and the total cohort (44.1 months vs. 22.0 months). A Cox proportional hazards model was used to combine Cancer of the Liver Italian Program (CLIP) score with discretized NAR. C-index illustrated that NAR-integrated CLIP score was the best model compared with NAR and CLIP score. Furthermore, NAR-CLIP presented superior predictive capacity for 10-, 20-, 30-, 40-, 50-, and 60-month survival compared with CLIP score by survival receiver-operator characteristic analysis in the discovery cohort, validation cohort, and total cohort. NAR was significantly associated with LOX-1+ PMN-MDSCs by linear regression. CONCLUSION This study identified NAR as an independent predictor for OS among patients with HCC receiving TACE. NAR reflected circulation LOX-1+ PMN-MDSC level. IMPLICATIONS FOR PRACTICE The present study identified neutrophil-to-apolipoprotein A1 ratio (NAR) as an independent predictor for overall survival among patients with hepatocellular carcinoma receiving transarterial chemoembolization. NAR reflected circulation level of lectin-type oxidized low-density lipoprotein receptor-1-positive polymorphonuclear myeloid-derived suppressor cells.
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Affiliation(s)
- Jie Chen
- Department of Medical Oncology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.,Department of Guangdong Key Laboratory of Liver Disease, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Yong-Jian Chen
- Department of Medical Oncology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.,Department of Guangdong Key Laboratory of Liver Disease, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Nan Jiang
- Department of Transplantation, Third People's Hospital of Shenzhen and the Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China
| | - Jian-Liang Xu
- Department of Hepatobiliary Surgery, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Zi-Ming Liang
- Department of Liver Transplant Program, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.,Department of Nephrology, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Ming-Jun Bai
- Interventional Radiology Program, Lin-Nan Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Yan-Fang Xing
- Department of Nephrology, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People's Republic of China
| | - Zhuo Liu
- School of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Xiang-Yuan Wu
- Department of Medical Oncology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.,Department of Guangdong Key Laboratory of Liver Disease, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Xing Li
- Department of Medical Oncology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.,Department of Guangdong Key Laboratory of Liver Disease, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China
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19
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ApoC1 promotes the metastasis of clear cell renal cell carcinoma via activation of STAT3. Oncogene 2020; 39:6203-6217. [PMID: 32826950 DOI: 10.1038/s41388-020-01428-3] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Revised: 08/05/2020] [Accepted: 08/10/2020] [Indexed: 12/19/2022]
Abstract
Clear cell renal cell carcinoma (ccRCC) is the most common renal cancer and frequently diagnosed at an advanced stage. It is prone to develop unpredictable metastases even with proper treatment. Antiangiogenic therapy is the most effective medical treatment for metastatic ccRCC. Thus, exploration of novel approaches to inhibit angiogenesis and metastasis may potentially lead to a better therapeutic option for ccRCC. Among all the types of cancer, renal cancer samples exhibited the maximum upregulation of ApoC1 as referred to in the Oncomine database. The expression of ApoC1 was increased accompanied by ccRCC progression. A high level of ApoC1 was closely related to poor survival time in ccRCC patients. Furthermore, ApoC1 was over-expressed in the highly invasive ccRCC cells as compared to that in the low-invasive ccRCC cells. Besides, ApoC1 promoted metastasis of ccRCC cells via EMT pathway, whereas depletion of ApoC1 alleviated these effects. ApoC1 as a novel pro-metastatic factor facilitates the activation of STAT3 and enhances the metastasis of ccRCC cells. Meanwhile, ApoC1 in the exosomes were transferred from the ccRCC cells to the vascular endothelial cells and promoted metastasis of the ccRCC cells via activating STAT3. Finally, the metastatic potential of the ccRCC cells driven by ApoC1 was suppressed by DPP-4 inhibition. Our study not only identifies a novel ApoC1-STAT3 pathway in ccRCC metastasis but also provides direction for the exploration of novel strategies to predict and treat metastatic ccRCC in the future.
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20
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Yu XN, Deng Y, Zhang GC, Liu J, Liu TT, Dong L, Zhu CF, Shen XZ, Li YH, Zhu JM. Sorafenib-Conjugated Zinc Phthalocyanine Based Nanocapsule for Trimodal Therapy in an Orthotopic Hepatocellular Carcinoma Xenograft Mouse Model. ACS APPLIED MATERIALS & INTERFACES 2020; 12:17193-17206. [PMID: 32207914 DOI: 10.1021/acsami.0c00375] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Sorafenib, a multitargeted kinase inhibitor, has been reported to elicit a limited therapeutic effect in hepatocellular carcinoma (HCC). Currently, phototherapy, including photodynamic therapy (PDT) and photothermal therapy (PTT), is emerging as a powerful modality for cancer therapy. However, few studies have been reported the effectiveness of the combination of sorafenib with PDT and PTT in HCC. Herein, we designed and synthesized bovine serum albumin (BSA)-coated zinc phthalocyanine (ZnPc) and sorafenib (SFB) nanoparticle (ZnPc/SFB@BSA). The obtained ZnPc/SFB@BSA was able to trigger PDT, PTT, and chemotherapy. After irradiation by a 730 nm light, ZnPc/SFB@BSA significantly suppressed HCC cell proliferation and metastasis while promoted cell apoptosis in vitro. Furthermore, intravenous injection of ZnPc/SFB@BSA led to dramatically reduced tumor growth in an orthotopic xenograft HCC model. More importantly, ZnPc/SFB@BSA presented low toxicity and adequate blood compatibility. Therefore, a combination of ZnPc with sorafenib via BSA-assembled nanoparticle can markedly suppress HCC growth, representing a promising strategy for HCC patients.
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Affiliation(s)
- Xiang-Nan Yu
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, 180 Fenglin Road, Shanghai 200032, China
- Shanghai Institute of Liver Disease, Shanghai 200032, China
| | - Yong Deng
- Institute of Bismuth Science & College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Guang-Cong Zhang
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, 180 Fenglin Road, Shanghai 200032, China
- Shanghai Institute of Liver Disease, Shanghai 200032, China
| | - Jie Liu
- Institute of Bismuth Science & College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Tao-Tao Liu
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, 180 Fenglin Road, Shanghai 200032, China
- Shanghai Institute of Liver Disease, Shanghai 200032, China
| | - Ling Dong
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, 180 Fenglin Road, Shanghai 200032, China
- Shanghai Institute of Liver Disease, Shanghai 200032, China
| | - Chang-Feng Zhu
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, 180 Fenglin Road, Shanghai 200032, China
- Shanghai Institute of Liver Disease, Shanghai 200032, China
| | - Xi-Zhong Shen
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, 180 Fenglin Road, Shanghai 200032, China
- Shanghai Institute of Liver Disease, Shanghai 200032, China
- Key Laboratory of Medical Molecular Virology, Shanghai Medical College of Fudan University, Shanghai 200032, China
| | - Yu-Hao Li
- Institute of Bismuth Science & College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Ji-Min Zhu
- Department of Gastroenterology and Hepatology, Zhongshan Hospital of Fudan University, 180 Fenglin Road, Shanghai 200032, China
- Shanghai Institute of Liver Disease, Shanghai 200032, China
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21
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Fuior EV, Gafencu AV. Apolipoprotein C1: Its Pleiotropic Effects in Lipid Metabolism and Beyond. Int J Mol Sci 2019; 20:ijms20235939. [PMID: 31779116 PMCID: PMC6928722 DOI: 10.3390/ijms20235939] [Citation(s) in RCA: 97] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Revised: 11/19/2019] [Accepted: 11/21/2019] [Indexed: 12/20/2022] Open
Abstract
Apolipoprotein C1 (apoC1), the smallest of all apolipoproteins, participates in lipid transport and metabolism. In humans, APOC1 gene is in linkage disequilibrium with APOE gene on chromosome 19, a proximity that spurred its investigation. Apolipoprotein C1 associates with triglyceride-rich lipoproteins and HDL and exchanges between lipoprotein classes. These interactions occur via amphipathic helix motifs, as demonstrated by biophysical studies on the wild-type polypeptide and representative mutants. Apolipoprotein C1 acts on lipoprotein receptors by inhibiting binding mediated by apolipoprotein E, and modulating the activities of several enzymes. Thus, apoC1 downregulates lipoprotein lipase, hepatic lipase, phospholipase A2, cholesterylester transfer protein, and activates lecithin-cholesterol acyl transferase. By controlling the plasma levels of lipids, apoC1 relates directly to cardiovascular physiology, but its activity extends beyond, to inflammation and immunity, sepsis, diabetes, cancer, viral infectivity, and-not last-to cognition. Such correlations were established based on studies using transgenic mice, associated in the recent years with GWAS, transcriptomic and proteomic analyses. The presence of a duplicate gene, pseudogene APOC1P, stimulated evolutionary studies and more recently, the regulatory properties of the corresponding non-coding RNA are steadily emerging. Nonetheless, this prototypical apolipoprotein is still underexplored and deserves further research for understanding its physiology and exploiting its therapeutic potential.
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Affiliation(s)
- Elena V. Fuior
- Institute of Cellular Biology and Pathology “N. Simionescu”, 050568 Bucharest, Romania;
| | - Anca V. Gafencu
- Institute of Cellular Biology and Pathology “N. Simionescu”, 050568 Bucharest, Romania;
- Correspondence:
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22
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Yu X, Guo H, Liu T, Zhang G, Zhu H, Shi X, Song G, Jiang X, Huang X, Weng S, Dong L, Shen X, Huang Y, Zhu J. Upregulated calcium‐binding tyrosine phosphorylation‐regulated protein‐a/b regulates cell proliferation and apoptosis and predicts poor prognosis in hepatocellular carcinoma. J Cell Biochem 2019; 121:2938-2949. [DOI: 10.1002/jcb.29538] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Accepted: 10/10/2019] [Indexed: 12/28/2022]
Affiliation(s)
- Xiang‐Nan Yu
- Department of Gastroenterology and Hepatology, Zhongshan HospitalFudan UniversityShanghai China
- Shanghai Institute of Liver disease, Fudan UniversityShanghai China
| | - Hong‐Ying Guo
- Department of Gastroenterology and Hepatology, Zhongshan HospitalFudan UniversityShanghai China
- Shanghai Institute of Liver disease, Fudan UniversityShanghai China
- Department of Liver Intensive Care UnitShanghai Public Health Clinical Center of Fudan UniversityShanghai China
| | - Tao‐Tao Liu
- Department of Gastroenterology and Hepatology, Zhongshan HospitalFudan UniversityShanghai China
- Shanghai Institute of Liver disease, Fudan UniversityShanghai China
| | - Guang‐Cong Zhang
- Department of GastroenterologyCentral South University Xiangya School of Medicine Affiliated Haikou HospitalHaikou China
| | - Hai‐Rong Zhu
- Department of Gastroenterology and Hepatology, Zhongshan HospitalFudan UniversityShanghai China
- Shanghai Institute of Liver disease, Fudan UniversityShanghai China
| | - Xuan Shi
- Department of Gastroenterology and Hepatology, Zhongshan HospitalFudan UniversityShanghai China
- Shanghai Institute of Liver disease, Fudan UniversityShanghai China
| | - Guang‐Qi Song
- Department of Gastroenterology and Hepatology, Zhongshan HospitalFudan UniversityShanghai China
- Shanghai Institute of Liver disease, Fudan UniversityShanghai China
| | - Xue‐Mei Jiang
- Department of GastroenterologyCentral South University Xiangya School of Medicine Affiliated Haikou HospitalHaikou China
| | - Xiao‐Xi Huang
- Department of GastroenterologyCentral South University Xiangya School of Medicine Affiliated Haikou HospitalHaikou China
| | - Shu‐Qiang Weng
- Department of Gastroenterology and Hepatology, Zhongshan HospitalFudan UniversityShanghai China
- Shanghai Institute of Liver disease, Fudan UniversityShanghai China
| | - Ling Dong
- Department of Gastroenterology and Hepatology, Zhongshan HospitalFudan UniversityShanghai China
- Shanghai Institute of Liver disease, Fudan UniversityShanghai China
| | - Xi‐Zhong Shen
- Department of Gastroenterology and Hepatology, Zhongshan HospitalFudan UniversityShanghai China
- Shanghai Institute of Liver disease, Fudan UniversityShanghai China
- Key Laboratory of Medical Molecular VirologyShanghai Medical College of Fudan UniversityShanghai China
| | - Yang‐Qing Huang
- Department of Hepatobiliary SurgeryShanghai Public Health Clinical Center of Fudan UniversityShanghai China
| | - Ji‐Min Zhu
- Department of Gastroenterology and Hepatology, Zhongshan HospitalFudan UniversityShanghai China
- Shanghai Institute of Liver disease, Fudan UniversityShanghai China
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