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Shen J, Huang C, Cui L, Zhao Y, Zhu M, Chen Z, Wang M, Zhu W, Shen B. Chemotherapeutic Drugs Endow Gastric Cancer Mesenchymal Stem Cells with Stronger Tumor-Promoting Ability. J Environ Pathol Toxicol Oncol 2024; 43:1-13. [PMID: 37824366 DOI: 10.1615/jenvironpatholtoxicoloncol.2023041847] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023] Open
Abstract
Gastric cancer (GC) is one of the most aggressive tumors and has a poor prognosis. It has been demonstrated that gastric cancer mesenchymal stem cells (GC-MSCs) can promote the progression, metastasis, and chemoresistance of GC through various mechanisms, but the effect of GC-MSCs on GC during chemotherapy is still unknown. In this study, flow cytometry, CCK8 assay, migration assay, colony formation assay, and western blot were conducted. We also analyzed GC patients from the cancer genome atlas (TCGA). Our results showed that GC-MSCs were resistant to 5-FU and Taxol at the IC50 concentration for GC cells, and 5-FU could promote the migration of GC-MSCs at low doses. Furthermore, the conditioned medium of GC-MSCs pretreated with chemotherapeutic drugs was more effective in promoting the proliferation, migration, and stemness of GC cell lines than the conditioned medium of GC-MSCs without chemotherapeutic drugs treatment. These effects were dependent on the activation of phosphorylated AKT (p-AKT) in GC cell lines. Correspondingly, the inhibition of p-AKT reversed the tumor-promoting effect of the conditioned medium of GC-MSCs pretreated with chemotherapeutic drugs. Additionally, the expression of AKT1 was higher in GC tissues than in both paracancerous tissues and normal tissues, and patients resistant to chemotherapy expressed more AKT1 compared to those who were sensitive. Taken together, our data demonstrated that GC-MSCs gained more tumor-promoting abilities during chemotherapy.
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Affiliation(s)
- Jiaqi Shen
- School of Medicine, Jiangsu University, Zhenjiang 212013, China
| | - Chao Huang
- School of Medicine, Jiangsu University, Zhenjiang 212013, China
| | - Linjing Cui
- School of Medicine, Jiangsu University, Zhenjiang 212013, China
| | - Yuanyuan Zhao
- Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan 430030, China; NHC Key Laboratory of Organ Transplantation, Wuhan 430030, China; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan 430030, China; School of Medicine, Jiangsu University, Zhenjiang 212013, China
| | - Miaolin Zhu
- Department of Oncology, The Affiliated Cancer Hospital of Nanjing Medical, Jiangsu University, Nanjing 21000, China
| | - Zhihong Chen
- Department of Gastrointestinal Surgery, Affiliated People's Hospital of Jiangsu, Zhenjiang 212002, China
| | - Mei Wang
- Department of Oncology, Changhai Hospital, Second Military Medical University, 168 Changhai Road, Shanghai, People's Republic of China, 200433; School of Medicine, Jiangsu University, Zhenjiang 212013, China
| | - Wei Zhu
- School of Medicine, Jiangsu University, Zhenjiang 212013, China
| | - Bo Shen
- Department of Oncology, The Affiliated Cancer Hospital of Nanjing Medical, Jiangsu University, Nanjing 21000, China
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2
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Lu LF, Li ZC, Zhang C, Chen DD, Han KJ, Zhou XY, Wang XL, Li XY, Zhou L, Li S. Zebrafish TMEM47 is an effective blocker of IFN production during RNA and DNA virus infection. J Virol 2023; 97:e0143423. [PMID: 37882518 PMCID: PMC10688382 DOI: 10.1128/jvi.01434-23] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 09/25/2023] [Indexed: 10/27/2023] Open
Abstract
IMPORTANCE Mitochondrial antiviral signaling protein (MAVS) and stimulator of interferon (IFN) genes (STING) are key adaptor proteins required for innate immune responses to RNA and DNA virus infection. Here, we show that zebrafish transmembrane protein 47 (TMEM47) plays a critical role in regulating MAVS- and STING-triggered IFN production in a negative feedback manner. TMEM47 interacted with MAVS and STING for autophagic degradation, and ATG5 was essential for this process. These findings suggest the inhibitory function of TMEM47 on MAVS- and STING-mediated signaling responses during RNA and DNA virus infection.
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Affiliation(s)
- Long-Feng Lu
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhuo-Cong Li
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Can Zhang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Dan-Dan Chen
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ke-Jia Han
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | - Xiao-Yu Zhou
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xue-Li Wang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | - Xi-Yin Li
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Freshwater Ecology and Biotechnology, The Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Hubei Hongshan Laboratory, the Innovation Academy of Seed Design, Chinese Academy of Sciences, Wuhan, China
| | - Li Zhou
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Freshwater Ecology and Biotechnology, The Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Hubei Hongshan Laboratory, the Innovation Academy of Seed Design, Chinese Academy of Sciences, Wuhan, China
| | - Shun Li
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
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Yu WY, Zhang Y, Li MK, Yang ZY, Fung WK, Zhao PZ, Zhou JY. BEXCIS: Bayesian methods for estimating the degree of the skewness of X chromosome inactivation. BMC Bioinformatics 2022; 23:193. [PMID: 35610583 PMCID: PMC9128296 DOI: 10.1186/s12859-022-04721-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 05/09/2022] [Indexed: 11/10/2022] Open
Abstract
Background X chromosome inactivation (XCI) is an epigenetic phenomenon that one of two X chromosomes in females is transcriptionally silenced during early embryonic development. Skewed XCI has been reported to be associated with some X-linked diseases. There have been several methods measuring the degree of the skewness of XCI. However, these methods may still have several limitations. Results We propose a Bayesian method to obtain the point estimate and the credible interval of the degree of XCI skewing by incorporating its prior information of being between 0 and 2. We consider a normal prior and a uniform prior for it (respectively denoted by BN and BU). We also propose a penalized point estimate based on the penalized Fieller’s method and derive the corresponding confidence interval. Simulation results demonstrate that the BN and BU methods can solve the problems of extreme point estimates, noninformative intervals, empty sets and discontinuous intervals. The BN method generally outperforms other methods with the lowest mean squared error in the point estimation, and well controls the coverage probability with the smallest median and the least variation of the interval width in the interval estimation. We apply all the methods to the Graves’ disease data and the Minnesota Center for Twin and Family Research data, and find that SNP rs3827440 in the Graves’ disease data may undergo skewed XCI towards the allele C. Conclusions We recommend the BN method for measuring the degree of the skewness of XCI in practice. The R package BEXCIS is publicly available at https://github.com/Wen-YiYu/BEXCIS. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-022-04721-y.
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Affiliation(s)
- Wen-Yi Yu
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.,Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou, China
| | - Yu Zhang
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.,Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou, China
| | - Meng-Kai Li
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.,Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou, China
| | - Zi-Ying Yang
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China.,Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou, China
| | - Wing Kam Fung
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, China
| | - Pei-Zhen Zhao
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Ji-Yuan Zhou
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China. .,Guangdong-Hong Kong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou, China.
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Li MK, Yuan YX, Zhu B, Wang KW, Fung WK, Zhou JY. Gene-Based Methods for Estimating the Degree of the Skewness of X Chromosome Inactivation. Genes (Basel) 2022; 13:genes13050827. [PMID: 35627212 PMCID: PMC9140558 DOI: 10.3390/genes13050827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/01/2022] [Accepted: 05/02/2022] [Indexed: 11/16/2022] Open
Abstract
Skewed X chromosome inactivation (XCI-S) has been reported to be associated with some X-linked diseases, and currently several methods have been proposed to estimate the degree of the XCI-S (denoted as γ) for a single locus. However, no method has been available to estimate γ for genes. Therefore, in this paper, we first propose the point estimate and the penalized point estimate of γ for genes, and then derive its confidence intervals based on the Fieller’s and penalized Fieller’s methods, respectively. Further, we consider the constraint condition of γ∈[0, 2] and propose the Bayesian methods to obtain the point estimates and the credible intervals of γ, where a truncated normal prior and a uniform prior are respectively used (denoted as GBN and GBU). The simulation results show that the Bayesian methods can avoid the extreme point estimates (0 or 2), the empty sets, the noninformative intervals ([0, 2]) and the discontinuous intervals to occur. GBN performs best in both the point estimation and the interval estimation. Finally, we apply the proposed methods to the Minnesota Center for Twin and Family Research data for their practical use. In summary, in practical applications, we recommend using GBN to estimate γ of genes.
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Affiliation(s)
- Meng-Kai Li
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China; (M.-K.L.); (Y.-X.Y.); (B.Z.); (K.-W.W.)
- Guangdong-Hong Hong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou 510006, China
| | - Yu-Xin Yuan
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China; (M.-K.L.); (Y.-X.Y.); (B.Z.); (K.-W.W.)
- Guangdong-Hong Hong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou 510006, China
| | - Bin Zhu
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China; (M.-K.L.); (Y.-X.Y.); (B.Z.); (K.-W.W.)
- Guangdong-Hong Hong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou 510006, China
| | - Kai-Wen Wang
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China; (M.-K.L.); (Y.-X.Y.); (B.Z.); (K.-W.W.)
- Guangdong-Hong Hong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou 510006, China
| | - Wing Kam Fung
- Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong, China;
| | - Ji-Yuan Zhou
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Ministry of Education, and Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China; (M.-K.L.); (Y.-X.Y.); (B.Z.); (K.-W.W.)
- Guangdong-Hong Hong-Macao Joint Laboratory for Contaminants Exposure and Health, Guangzhou 510006, China
- Correspondence:
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Glutathione S-transferase A2 promotes hepatocellular carcinoma recurrence after liver transplantation through modulating reactive oxygen species metabolism. Cell Death Discov 2021; 7:188. [PMID: 34290233 PMCID: PMC8295304 DOI: 10.1038/s41420-021-00569-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 06/10/2021] [Accepted: 06/20/2021] [Indexed: 02/08/2023] Open
Abstract
Hepatocellular carcinoma (HCC) recurrence after liver transplantation remains a significant clinical problem. Ischemia-reperfusion injury (IRI) occurred inevitably at the early phase after liver transplantation (LT) spawns a significant risk of HCC recurrence. However, their linkage and IRI-derived risk factors for HCC recurrence remain exclusive. Understanding the mechanism of post-transplantation hepatic injury could provide new strategies to prevent the later event of HCC recurrence. We demonstrated that glutathione S-transferase A2 (GSTA2) expression was significantly associated with early phase hepatic and systemic injury and ROS level after liver transplantation. Early phase circulating GSTA2 (EPCGSTA2) protein was a significant predictor of HCC recurrence and survival. Heterogeneous single nucleotide polymorphism at G335C of GSTA2 was significantly associated with poor survival of HCC recipients. Enhancement of GSTA2 could protect HCC cells against H2O2-induced cell death by compensating for the elevated ROS stress. We also demonstrated that GSTA2 played crucial roles in regulating the ROS-associated JNK and AKT signaling pathways and ROS metabolism in HCCs in responding to a dynamic ROS environment. Functionally, endogenous or exogenous upregulation of GSTA2 could promote HCC growth and invasion through activating the epithelial–mesenchymal-transition process. Targeted inhibition of GSTA2 could suppress HCC growth and metastasis. In conclusion, GSTA2 could be a novel prognostic and therapeutic target to combat HCC recurrence after liver transplantation.
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Lin BQ, Zhang WB, Zhao J, Zhou XH, Li YJ, Deng J, Zhao Q, Fu G, Xie CM, Xu YK, Feng GK. An Optimized Integrin α6-Targeted Magnetic Resonance Probe for Molecular Imaging of Hepatocellular Carcinoma in Mice. J Hepatocell Carcinoma 2021; 8:645-656. [PMID: 34235103 PMCID: PMC8244641 DOI: 10.2147/jhc.s312921] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 05/20/2021] [Indexed: 12/25/2022] Open
Abstract
Introduction Integrin α6 is an attractive diagnostic biomarker for molecular imaging of hepatocellular carcinoma (HCC) as it has an extremely high positive rate (approximately 94%) in clinical early-stage HCC. In this study, based on our previously identified integrin α6-targeted peptide, we developed an optimized integrin α6-targeted magnetic resonance (MR) probe dubbed DOTA(Gd)-ANADYWR for MR imaging of HCC in mice. Materials and Methods The longitudinal (R1) relaxivity of DOTA(Gd)-ANADYWR was measured on a 3.0 T MR system . The specific tumor enhancement of the agent was investigated in four distinct mouse models, including subcutaneous, orthotopic, genetically engineered and chemically induced HCC mice. Results The R1 relaxivity value of DOTA(Gd)-ANADYWR is 5.11 mM−1s−1 at 3.0 T, which is similar to that of the nonspecific clinical agent Gadoteridol. DOTA(Gd)-ANADYWR generated superior enhanced MR signal in HCC lesions and provided complementary enhancement MR signals to the clinically available hepatobiliary MR contrast agent gadoxetate disodium (Gd-EOB-DTPA). Importantly, DOTA(Gd)-ANADYWR could efficiently visualize small HCC lesion (approximately 1 mm) which was hardly detected by the clinical Gd-EOB-DTPA. Conclusion These findings suggest the potential application of this integrin α6-targeted MR probe for the detection of HCC, particularly for small HCC.
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Affiliation(s)
- Bing-Quan Lin
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou City, Guangdong Province, 510515, People's Republic of China
| | - Wen-Biao Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Jing Zhao
- Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Xu-Hui Zhou
- Department of Radiology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518033, People's Republic of China
| | - Yong-Jiang Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Jun Deng
- Department of Biological Products, Guangdong Institute for Drug Control, Guangzhou, 510663, People's Republic of China
| | - Qin Zhao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Gui Fu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.,Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Chuan-Miao Xie
- Department of Medical Imaging, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Yi-Kai Xu
- Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou City, Guangdong Province, 510515, People's Republic of China
| | - Guo-Kai Feng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
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