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Deng S, Wang J, Hu Y, Sun Y, Yang X, Zhang B, Deng Y, Wei W, Zhang Z, Wen L, Qin Y, Huang F, Sheng Y, Wan C, Yang K. Irradiated Tumour Cell-Derived Microparticles Upregulate MHC-I Expression in Cancer Cells via DNA Double-Strand Break Repair Pathway. Cancer Lett 2024:216898. [PMID: 38670306 DOI: 10.1016/j.canlet.2024.216898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 04/12/2024] [Accepted: 04/12/2024] [Indexed: 04/28/2024]
Abstract
Radiotherapy (RT) is used for over 50% of cancer patients and can promote adaptive immunity against tumour antigens. However, the underlying mechanisms remain unclear. Here, we discovered that RT induces the release of irradiated tumour cell-derived microparticles (RT-MPs), which significantly upregulate MHC-I expression on the membranes of non-irradiated cells, enhancing the recognition and killing of these cells by T cells. Mechanistically, RT-MPs induce DNA double-strand breaks (DSB) in tumour cells, activating the ATM/ATR/CHK1-mediated DNA repair signalling pathway, and upregulating MHC-I expression. Inhibition of ATM/ATR/CHK1 reversed RT-MP-induced upregulation of MHC-I. Furthermore, phosphorylation of STAT1/3 following the activation of ATM/ATR/CHK1 is indispensable for the DSB-dependent upregulation of MHC-I. Therefore, our findings reveal the role of RT-MP-induced DSBs and the subsequent DNA repair signalling pathway in MHC-I expression and provide mechanistic insights into the regulation of MHC-I expression after DSBs.
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Affiliation(s)
- Suke Deng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology
| | - Jiacheng Wang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology
| | - Yan Hu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology
| | - Yajie Sun
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology
| | - Xiao Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology
| | - Bin Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology
| | - Yue Deng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology
| | - Wenwen Wei
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology
| | - Zhanjie Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology
| | - Lu Wen
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology
| | - You Qin
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology
| | - Fang Huang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology
| | - Yuhan Sheng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology
| | - Chao Wan
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology.
| | - Kunyu Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Key Laboratory of Precision Radiation Oncology.
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Deng S, Wang J, Hu Y, Sun Y, Yang X, Zhang B, Deng Y, Wei W, Zhang Z, Wen L, Qin Y, Huang F, Sheng Y, Wan C, Yang K. Induction of therapeutic immunity and cancer eradication through biofunctionalized liposome-like nanovesicles derived from irradiated-cancer cells. J Nanobiotechnology 2024; 22:156. [PMID: 38589867 PMCID: PMC11000387 DOI: 10.1186/s12951-024-02413-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 03/18/2024] [Indexed: 04/10/2024] Open
Abstract
Immunotherapy has revolutionized the treatment of cancer. However, its efficacy remains to be optimized. There are at least two major challenges in effectively eradicating cancer cells by immunotherapy. Firstly, cancer cells evade immune cell killing by down-regulating cell surface immune sensors. Secondly, immune cell dysfunction impairs their ability to execute anti-cancer functions. Radiotherapy, one of the cornerstones of cancer treatment, has the potential to enhance the immunogenicity of cancer cells and trigger an anti-tumor immune response. Inspired by this, we fabricate biofunctionalized liposome-like nanovesicles (BLNs) by exposing irradiated-cancer cells to ethanol, of which ethanol serves as a surfactant, inducing cancer cells pyroptosis-like cell death and facilitating nanovesicles shedding from cancer cell membrane. These BLNs are meticulously designed to disrupt both of the aforementioned mechanisms. On one hand, BLNs up-regulate the expression of calreticulin, an "eat me" signal on the surface of cancer cells, thus promoting macrophage phagocytosis of cancer cells. Additionally, BLNs are able to reprogram M2-like macrophages into an anti-cancer M1-like phenotype. Using a mouse model of malignant pleural effusion (MPE), an advanced-stage and immunotherapy-resistant cancer model, we demonstrate that BLNs significantly increase T cell infiltration and exhibit an ablative effect against MPE. When combined with PD-1 inhibitor (α-PD-1), we achieve a remarkable 63.6% cure rate (7 out of 11) among mice with MPE, while also inducing immunological memory effects. This work therefore introduces a unique strategy for overcoming immunotherapy resistance.
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Affiliation(s)
- Suke Deng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China
| | - Jiacheng Wang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China
| | - Yan Hu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China
| | - Yajie Sun
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China
| | - Xiao Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China
| | - Bin Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China
| | - Yue Deng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China
| | - Wenwen Wei
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China
| | - Zhanjie Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China
| | - Lu Wen
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China
| | - You Qin
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China
| | - Fang Huang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China
| | - Yuhan Sheng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China
| | - Chao Wan
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China.
| | - Kunyu Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, China.
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Zhou Z, Zhang B, Deng Y, Deng S, Li J, Wei W, Wang Y, Wang J, Feng Z, Che M, Yang X, Meng J, Li Y, Hu Y, Sun Y, Wen L, Huang F, Sheng Y, Wan C, Yang K. FBW7/GSK3β mediated degradation of IGF2BP2 inhibits IGF2BP2-SLC7A5 positive feedback loop and radioresistance in lung cancer. J Exp Clin Cancer Res 2024; 43:34. [PMID: 38281999 PMCID: PMC10823633 DOI: 10.1186/s13046-024-02959-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 01/19/2024] [Indexed: 01/30/2024] Open
Abstract
BACKGROUND The development of radioresistance seriously hinders the efficacy of radiotherapy in lung cancer. However, the underlying mechanisms by which radioresistance occurs are still incompletely understood. The N6-Methyladenosine (m6A) modification of RNA is involved in cancer progression, but its role in lung cancer radioresistance remains elusive. This study aimed to identify m6A regulators involved in lung cancer radiosensitivity and further explore the underlying mechanisms to identify therapeutic targets to overcome lung cancer radioresistance. METHODS Bioinformatic mining was used to identify the m6A regulator IGF2BP2 involved in lung cancer radiosensitivity. Transcriptome sequencing was used to explore the downstream factors. Clonogenic survival assays, neutral comet assays, Rad51 foci formation assays, and Annexin V/propidium iodide assays were used to determine the significance of FBW7/IGF2BP2/SLC7A5 axis in lung cancer radioresistance. Chromatin immunoprecipitation (ChIP)-qPCR analyses, RNA immunoprecipitation (RIP) and methylated RNA immunoprecipitation (MeRIP)-qPCR analyses, RNA pull-down analyses, co-immunoprecipitation analyses, and ubiquitination assays were used to determine the feedback loop between IGF2BP2 and SLC7A5 and the regulatory effect of FBW7/GSK3β on IGF2BP2. Mice models and tissue microarrays were used to verify the effects in vivo. RESULTS We identified IGF2BP2, an m6A "reader", that is overexpressed in lung cancer and facilitates radioresistance. We showed that inhibition of IGF2BP2 impairs radioresistance in lung cancer both in vitro and in vivo. Furthermore, we found that IGF2BP2 enhances the stability and translation of SLC7A5 mRNA through m6A modification, resulting in enhanced SLC7A5-mediated transport of methionine to produce S-adenosylmethionine. This feeds back upon the IGF2BP2 promoter region by further increasing the trimethyl modification at lysine 4 of histone H3 (H3K4me3) level to upregulate IGF2BP2 expression. We demonstrated that this positive feedback loop between IGF2BP2 and SLC7A5 promotes lung cancer radioresistance through the AKT/mTOR pathway. Moreover, we found that the ubiquitin ligase FBW7 functions with GSK3β kinase to recognize and degrade IGF2BP2. CONCLUSIONS Collectively, our study revealed that the m6A "reader" IGF2BP2 promotes lung cancer radioresistance by forming a positive feedback loop with SLC7A5, suggesting that IGF2BP2 may be a potential therapeutic target to control radioresistance in lung cancer.
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Affiliation(s)
- Zhiyuan Zhou
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Bin Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yue Deng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Suke Deng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jie Li
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wenwen Wei
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yijun Wang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jiacheng Wang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Zishan Feng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Mengjie Che
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiao Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jingshu Meng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yan Li
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yan Hu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yajie Sun
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Lu Wen
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Fang Huang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yuhan Sheng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Chao Wan
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, 430022, China.
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Kunyu Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Precision Radiation Oncology, Wuhan, 430022, China.
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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Li J, Zhang B, Feng Z, An D, Zhou Z, Wan C, Hu Y, Sun Y, Wang Y, Liu X, Wei W, Yang X, Meng J, Che M, Sheng Y, Wu B, Wen L, Huang F, Li Y, Yang K. Stabilization of KPNB1 by deubiquitinase USP7 promotes glioblastoma progression through the YBX1-NLGN3 axis. J Exp Clin Cancer Res 2024; 43:28. [PMID: 38254206 DOI: 10.1186/s13046-024-02954-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 01/11/2024] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Glioblastoma (GBM) is the most common malignant tumor of the central nervous system. It is an aggressive tumor characterized by rapid proliferation, diffuse tumor morphology, and poor prognosis. Unfortunately, current treatments, such as surgery, radiotherapy, and chemotherapy, are unable to achieve good outcomes. Therefore, there is an urgent need to explore new treatment targets. A detailed mechanistic exploration of the role of the nuclear pore transporter KPNB1 in GBM is lacking. This study demonstrated that KPNB1 regulated GBM progression through a transcription factor YBX1 to promote the expression of post-protrusion membrane protein NLGN3. This regulation was mediated by the deubiquitinating enzyme USP7. METHODS A tissue microarray was used to measure the expression of KPNB1 and USP7 in glioma tissues. The effects of KPNB1 knockdown on the tumorigenic properties of glioma cells were characterized by colony formation assays, Transwell migration assay, EdU proliferation assays, CCK-8 viability assays, and apoptosis analysis using flow cytometry. Transcriptome sequencing identified NLGN3 as a downstream molecule that is regulated by KPNB1. Mass spectrometry and immunoprecipitation were performed to analyze the potential interaction between KPNB1 and YBX1. Moreover, the nuclear translocation of YBX1 was determined with nuclear-cytoplasmic fractionation and immunofluorescence staining, and chromatin immunoprecipitation assays were conducted to study DNA binding with YBX1. Ubiquitination assays were performed to determine the effects of USP7 on KPNB1 stability. The intracranial orthotopic tumor model was used to detect the efficacy in vivo. RESULTS In this study, we found that the nuclear receptor KPNB1 was highly expressed in GBM and could mediate the nuclear translocation of macromolecules to promote GBM progression. Knockdown of KPNB1 inhibited the progression of GBM, both in vitro and in vivo. In addition, we found that KPNB1 could regulate the downstream expression of Neuroligin-3 (NLGN3) by mediating the nuclear import of transcription factor YBX1, which could bind to the NLGN3 promoter. NLGN3 was necessary and sufficient to promote glioma cell growth. Furthermore, we found that deubiquitinase USP7 played a critical role in stabilizing KPNB1 through deubiquitination. Knockdown of USP7 expression or inhibition of its activity could effectively impair GBM progression. In vivo experiments also demonstrated the promoting effects of USP7, KPNB1, and NLGN3 on GBM progression. Overall, our results suggested that KPNB1 stability was enhanced by USP7-mediated deubiquitination, and the overexpression of KPNB1 could promote GBM progression via the nuclear translocation of YBX1 and the subsequent increase in NLGN3 expression. CONCLUSION This study identified a novel and targetable USP7/KPNB1/YBX1/NLGN3 signaling axis in GBM cells.
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Affiliation(s)
- Jie Li
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Bin Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Zishan Feng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Dandan An
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Zhiyuan Zhou
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Chao Wan
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yan Hu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yajie Sun
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yijun Wang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xixi Liu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wenwen Wei
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xiao Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jingshu Meng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Mengjie Che
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yuhan Sheng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Bian Wu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Lu Wen
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Fang Huang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yan Li
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Kunyu Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Precision Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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You Y, Ginn J, Mullikin TC, Wu QJJ, Yin FF, Sheng Y. Automatic Treatment Planning for Multi-focal Dynamic Conformal Arc GRID Therapy for Late-Stage Lung Cancer: A Feasibility Study. Int J Radiat Oncol Biol Phys 2023; 117:e716-e717. [PMID: 37786093 DOI: 10.1016/j.ijrobp.2023.06.2221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Palliative management of large, symptomatic pulmonary lesions, either as primary lung cancers or metastases, can be challenging due to need to balance effective radiation doses for cytoreduction with safety. Spatially Fractionated Radiation Therapy (SFRT), or GRID Therapy, is an emerging technique, which delivers ablative doses of radiotherapy to small, selected areas of tumor, while sparing organs-at-risk (OARs), and has been shown to debulk large lesions in preliminary studies. Conventionally, an alloy GRID block is manufactured to deliver GRID therapy. However, this delivery technique poses a challenge due to need for block, and dosimetrically when the tumor is deep-seated as excess dose may be delivered to OARs, such as skin and chest wall. This study aims to develop a fast, automatic planning solution using multi-focal dynamic conformal arcs (DCA) on modern Linear Accelerator. MATERIALS/METHODS One late-stage lung cancer patient with simulated sphere target grid was included in this study. The sphere targets are 1.5cm in diameter and 4.3cm spacing. Four co-planar full arcs were used for optimization. The problem is formalized as finding optimal multi-leaf collimator (MLC) sequencing to cover N targets with K control points (CPs) for each arc. The state of each target's MLC opening at each CP is binary. In order to solve this NP-hard problem, the optimal solution was approximated by eliminating projection collision at each CP. MLC motion continuity and maximum speed were included in the cost function to ensure deliverability. The optimization started with randomized initial CP apertures, followed by solving state-transition equations for following CPs. Two grid arrays (9 and 10 targets respectively) were tested for plan quality. For each grid of target, the arc collimator angle was planned with 0 and 30 degrees for comparison. Prescription was 20 Gy per fraction. Monte Carlo simulation dose engine from matRad toolkit was used for dose calculation. Key dosimetric endpoints including target mean dose, D5%(Gy) and D95%(Gy), were reported. RESULTS Average calculation time on the AMD Ryzen 5 5600 × 6-Core 3.7GHz CPU and 32GB RAM platform varied from 31 to 44 minutes. One zero-degree collimator and one thirty-degree collimator were generated for each target array. For nine-target array, mean target dose from both plans ranged from 23.41 to 26.55 Gy, while D5%(Gy) and D95%(Gy) ranged from 25.45 to 30.16 Gy, and 20.00 to 22.21 Gy, respectively. For ten-target array, the range of target mean, D5%(Gy) and D95%(Gy) were 23.82 to 28.74 Gy, 26.50 to 33.11 Gy, and 20.00 to 22.49 Gy. CONCLUSION A fast, automatic planning solution for multi-focal DCA GRID therapy was developed. It provides clinically feasible plans with high efficiency for small target arrays for the late-stage cancer patient. The implementation provides excellent coverage for deep-seated tumors where alloy grid solution could fail to meet coverage objectives. Additional patients are needed in the future to further refine the technique.
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Affiliation(s)
- Y You
- Duke Kunshan University, Kunshan, China
| | - J Ginn
- Duke University School of Medicine, Durham, NC
| | - T C Mullikin
- Department of Radiation Oncology, Duke University, Rochester, MN
| | | | | | - Y Sheng
- Duke University Medical Center, Durham, NC
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Zhao X, Li Z, Guo Y, Liu Q, Qing M, Sheng Y, Chen Y, Xie L, Zhou Z. Alfaxalone Alleviates Neurotoxicity and Cognitive Impairment Induced by Isoflurane Anesthesia in Offspring Rats. Anesth Analg 2023; 136:1206-1216. [PMID: 36947459 DOI: 10.1213/ane.0000000000006420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
BACKGROUND The anesthetic isoflurane can cause neurotoxicity in fetuses and offspring of rats, affecting their neurodevelopment. However, the underlying mechanisms and therapeutic targets of isoflurane-induced neurotoxicity remain to be identified. Alfaxalone (ALF) is a steroid anesthetic. Steroids have been reported to have neuroprotective effects. This study aimed to investigate whether ALF could alleviate the isoflurane-induced neurotoxicity in fetuses and offspring of rats. METHODS On gestation day 15 (G15), the pregnant SD rats were randomly assigned to 4 groups: control 1 (CTL1) + control 2 (CTL2), isoflurane (ISO) + CTL2, CTL1 + ALF, and ISO + ALF. To analyze the changes in the expression levels of inflammatory cytokines, apoptotic factors, and synaptophysin, the brain tissues from the G15 fetuses and offspring at postnatal day 7 (P7), postnatal day 14 (P14), and postnatal day 31 (P31) were collected. The newborn neurons in the rats' offspring at P7, P14, and P31 were counted using immunofluorescence techniques. The Morris water maze (MWM) test was performed to assess the learning and memory abilities of P31 offspring rats. RESULTS ALF significantly alleviated the isoflurane-induced increase in the expression levels of inflammatory cytokines and apoptotic factors, such as interleukin (IL)-6 (ISO + CTL2 versus ISO + ALF: 5.133 ± 0.739 versus 1.093 ± 0.213, P < .001) and Caspase-3 (6.457 ± 0.6 versus 1.062 ± 0.1, P < .001) in the G15 fetuses. In P31 offspring rats, the expression levels of synaptophysin (0.719 ± 0.04 versus 1.068 ± 0.072, P < .001) and the number of newborn neurons in the dentate gyrus of the hippocampus were significantly lower in the ISO + CTL2 group as compared to those in the ISO + ALF group (118 ± 6 versus 140 ± 7, P < .001). These changes also occurred in the rat offspring at P7 and P14. In the MWM test, the escape latency of CTL1 + ALF group rats was significantly lower than that of ISO + ALF group rats (41 ± 6 versus 31 ± 7, P < .001) at P31. CONCLUSIONS Based on these findings, this study suggested that isoflurane exposure during pregnancy in rats could cause neuroinflammation and death of embryos as well as impairment of cognitive function in the offspring rats. ALF can be used to counteract the negative effects of isoflurane.
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Affiliation(s)
- Xingkai Zhao
- From the Department of Veterinary Clinical Science, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China
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7
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Xing B, Pu C, Chen Y, Sheng Y, Zhang B, Cui J, Wu G, Zhao Y. Insights into the characteristics of primary radioresistant cervical cancer using single-cell transcriptomics. Hum Cell 2023; 36:1135-1146. [PMID: 36867313 PMCID: PMC10110719 DOI: 10.1007/s13577-023-00882-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 02/11/2023] [Indexed: 03/04/2023]
Abstract
Radioresistance is a major cause of radiotherapy failure among patients with cervical cancer (CC), the fourth most common cause of cancer mortality in women worldwide. Traditional CC cell lines lose intra-tumoral heterogeneity, posing a challenge for radioresistance research. Meanwhile, conditional reprogramming (CR) maintains intra-tumoral heterogeneity and complexity, as well as the genomic and clinical characteristics of original cells and tissues. Three radioresistant and two radiosensitive primary CC cell lines were developed under CR conditions from patient specimens, and their characteristics were verified via immunofluorescence, growth kinetics, clone forming assay, xenografting, and immunohistochemistry. The CR cell lines had homogenous characteristics with original tumor tissues and maintained radiosensitivity in vitro and in vivo, while also maintaining intra-tumoral heterogeneity according to single-cell RNA sequencing analysis. Upon further investigation, 20.83% of cells in radioresistant CR cell lines aggregated in the G2/M cell cycle phase, which is sensitive to radiation, compared to 38.1% of cells in radiosensitive CR cell lines. This study established three radioresistant and two radiosensitive CC cell lines through CR, which will benefit further research investigating radiosensitivity in CC. Our present study may provide an ideal model for research on development of radioresistance and potential therapeutic targets in CC.
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Affiliation(s)
- Biyuan Xing
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Congli Pu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yunshang Chen
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yuhan Sheng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Baofang Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jie Cui
- CAS Key Laboratory of Molecular Virology & Immunology, Center for Biosafety Mega-Science, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China.
| | - Gang Wu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. .,Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Yingchao Zhao
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. .,Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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Liu H, Chen R, Li H, Lin J, Wang Y, Han M, Wang T, Wang H, Chen Q, Chen F, Chu P, Liang C, Ren C, Zhang Y, Yang F, Sheng Y, Wei J, Wu X, Yu G. Genome-wide identification and expression analysis of SlRR genes in response to abiotic stress in tomato. Plant Biol (Stuttg) 2023; 25:322-333. [PMID: 36457231 DOI: 10.1111/plb.13494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 11/15/2022] [Indexed: 06/17/2023]
Abstract
The cytokinin two-component signal transduction system (TCS) is involved in many biological processes, including hormone signal transduction and plant growth regulation. Although cytokinin TCS has been well characterized in Arabidopsis thaliana, its role in tomato remains elusive. In this study, we characterized the diversity and function of response regulator (RR) genes, a critical component of TCS, in tomato. In total, we identified 31 RR genes in the tomato genome. These SlRR genes were classified into three subgroups (type-A, type-B and type-C). Various stress-responsive cis-elements were present in the tomato RR gene promoters. Their expression responses under pesticide treatment were evaluated by transcriptome analysis. Their expression under heat, cold, ABA, salinity and NaHCO3 treatments was further investigated by qRT-PCR and complemented with the available transcription data under these treatments. Specifically, SlRR13 expression was significantly upregulated under salinity, drought, cold and pesticide stress and was downregulated under ABA treatment. SlRR23 expression was induced under salt treatment, while the transcription level of SlRR1 was increased under cold and decreased under salt stress. We also found that GATA transcription factors played a significant role in the regulation of SlRR genes. Based on our results, tomato SlRR genes are involved in responses to abiotic stress in tomato and could be implemented in molecular breeding approaches to increase resistance of tomato to environmental stresses.
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Affiliation(s)
- H Liu
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - R Chen
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - H Li
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - J Lin
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - Y Wang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - M Han
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - T Wang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - H Wang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - Q Chen
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - F Chen
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - P Chu
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - C Liang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - C Ren
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - Y Zhang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - F Yang
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - Y Sheng
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - J Wei
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - X Wu
- Heilongjiang Bayi Agricultural University, Daqing, China
| | - G Yu
- Heilongjiang Bayi Agricultural University, Daqing, China
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Sheng Y, Mordret A, Brenguier F, Boué P, Vernon F, Takeda T, Aoki Y, Taira T, Ben‐Zion Y. Seeking Repeating Anthropogenic Seismic Sources: Implications for Seismic Velocity Monitoring at Fault Zones. J Geophys Res Solid Earth 2023; 128:e2022JB024725. [PMID: 37035576 PMCID: PMC10078280 DOI: 10.1029/2022jb024725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 12/02/2022] [Accepted: 12/19/2022] [Indexed: 06/19/2023]
Abstract
Seismic velocities in rocks are highly sensitive to changes in permanent deformation and fluid content. The temporal variation of seismic velocity during the preparation phase of earthquakes has been well documented in laboratories but rarely observed in nature. It has been recently found that some anthropogenic, high-frequency (>1 Hz) seismic sources are powerful enough to generate body waves that travel down to a few kilometers and can be used to monitor fault zones at seismogenic depth. Anthropogenic seismic sources typically have fixed spatial distribution and provide new perspectives for velocity monitoring. In this work, we propose a systematic workflow to seek such powerful seismic sources in a rapid and straightforward manner. We tackle the problem from a statistical point of view, considering that persistent, powerful seismic sources yield highly coherent correlation functions (CFs) between pairs of seismic sensors. The algorithm is tested in California and Japan. Multiple sites close to fault zones show high-frequency CFs stable for an extended period of time. These findings have great potential for monitoring fault zones, including the San Jacinto Fault and the Ridgecrest area in Southern California, Napa in Northern California, and faults in central Japan. However, extra steps, such as beamforming or polarization analysis, are required to determine the dominant seismic sources and study the source characteristics, which are crucial to interpreting the velocity monitoring results. Train tremors identified by the present approach have been successfully used for seismic velocity monitoring of the San Jacinto Fault in previous studies.
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Affiliation(s)
- Y. Sheng
- University Grenoble AlpesUniversity Savoie Mont BlancCNRSIRDUniversity Gustave EiffelGrenobleFrance
| | - A. Mordret
- University Grenoble AlpesUniversity Savoie Mont BlancCNRSIRDUniversity Gustave EiffelGrenobleFrance
| | - F. Brenguier
- University Grenoble AlpesUniversity Savoie Mont BlancCNRSIRDUniversity Gustave EiffelGrenobleFrance
| | - P. Boué
- University Grenoble AlpesUniversity Savoie Mont BlancCNRSIRDUniversity Gustave EiffelGrenobleFrance
| | - F. Vernon
- Institute of Geophysics and Planetary PhysicsUniversity of California San DiegoSan DiegoCAUSA
| | - T. Takeda
- National Research Institute for Earth Science and Disaster ResilienceTsukubaJapan
| | - Y. Aoki
- Earthquake Research InstituteUniversity of TokyoTokyoJapan
| | - T. Taira
- Berkeley Seismological LaboratoryUniversity of California BerkeleyBerkeleyCAUSA
| | - Y. Ben‐Zion
- Department of Earth Sciences and Southern California Earthquake CenterUniversity of Southern CaliforniaLos AngelesCAUSA
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10
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Sheng Y, Sun Y, Tang Y, Yu Y, Wang J, Zheng F, Li Y, Sun Y. Catechins: Protective mechanism of antioxidant stress in atherosclerosis. Front Pharmacol 2023; 14:1144878. [PMID: 37033663 PMCID: PMC10080012 DOI: 10.3389/fphar.2023.1144878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 03/15/2023] [Indexed: 04/11/2023] Open
Abstract
Tea has long been valued for its health benefits, especially its potential to prevent and treat atherosclerosis (AS). Abnormal lipid metabolism and oxidative stress are major factors that contribute to the development of AS. Tea, which originated in China, is believed to help prevent AS. Research has shown that tea is rich in catechins, which is considered a potential source of natural antioxidants. Catechins are the most abundant antioxidants in green tea, and are considered to be the main compound responsible for tea's antioxidant activity. The antioxidant properties of catechins are largely dependent on the structure of molecules, and the number and location of hydroxyl groups or their substituents. As an exogenous antioxidant, catechins can effectively eliminate lipid peroxidation products. They can also play an antioxidant role indirectly by activating the endogenous antioxidant system by regulating enzyme activity and signaling pathways. In this review, we summarized the preventive effect of catechin in AS, and emphasized that improving the antioxidant effect and lipid metabolism disorders of catechins is the key to managing AS.
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Affiliation(s)
| | - Yizhuo Sun
- *Correspondence: Fengjie Zheng, ; Yuhang Li, ; Yan Sun,
| | | | | | | | - Fengjie Zheng
- *Correspondence: Fengjie Zheng, ; Yuhang Li, ; Yan Sun,
| | - Yuhang Li
- *Correspondence: Fengjie Zheng, ; Yuhang Li, ; Yan Sun,
| | - Yan Sun
- *Correspondence: Fengjie Zheng, ; Yuhang Li, ; Yan Sun,
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11
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Zhang S, Zong Y, Hu Y, Sheng Y, Xiao G. High HBV-DNA serum levels are associated with type 2 diabetes in adults with positive HBsAg: An observational study. Front Endocrinol (Lausanne) 2023; 14:1146798. [PMID: 37077357 PMCID: PMC10106711 DOI: 10.3389/fendo.2023.1146798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 03/23/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND The prevalence of diabetes is higher in hepatitis B virus (HBV)-infected population. We aimed to examine the relationship between different serum HBV-DNA levels and type 2 diabetes in adults with positive HBV surface antigen (HBsAg). METHODS We conducted cross-sectional analyses of data obtaining from the Clinical Database System of Wuhan Union Hospital. Diabetes was defined by self-report of type 2 diabetes, fasting plasma glucose (FPG) ≥7mmol/L, or glycated hemoglobin (HbA1c) ≥6.5%. Binary logistic regression analyses were performed to investigate the factors associated with diabetes. RESULTS Among 12,527 HBsAg-positive adults, 2,144 (17.1%) were diabetic. Patients with serum HBV-DNA <100, 100-2000, 2000-20000 and ≥20000 IU/mL accounted for 42.2% (N=5,285), 22.6% (N=2,826), 13.3% (N=1,665) and 22.0% (N=2,751), respectively. The risk of type 2 diabetes, FPG ≥7mmol/L and HbA1c ≥6.5% in individuals with highly elevated serum HBV-DNA level (≥20000 IU/mL) were 1.38 (95% confidence interval [CI]: 1.16 to 1.65), 1.40 (95% CI: 1.16 to 1.68) and 1.78 (95% CI: 1.31 to 2.42) times relative to those with negative or lowly elevated serum HBV-DNA (<100 IU/mL). However, the analyses showed no association of moderately (2000-20000 IU/mL) to slightly (100-2000 IU/mL) raised serum HBV-DNA levels with type 2 diabetes (OR=0.88, P=0.221; OR=1.08, P=0.323), FPG ≥7mmol/L (OR=1.00, P=0.993; OR=1.11, P=0.250) and HbA1c ≥6.5% (OR=1.24, P=0.239; OR=1.17, P=0.300). CONCLUSION In HBsAg-positive adults, highly elevated level rather than moderately to slightly raised levels of serum HBV-DNA is independently associated with an increased risk of type 2 diabetes.
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Yang D, Murr C, Yoo S, O'Neill L, Catalano S, Blitzblau R, McDuff S, Yin F, Wu Q, Sheng Y. Prospective Clinical Integration of AI Based Treatment Planning Tool for Whole Breast Radiation Therapy (WBRT): A Single Institution's Three-Year Experience. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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13
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Sheng Y, Mordret A, Sager K, Brenguier F, Boué P, Rousset B, Vernon F, Higueret Q, Ben‐Zion Y. Monitoring Seismic Velocity Changes Across the San Jacinto Fault Using Train-Generated Seismic Tremors. Geophys Res Lett 2022; 49:e2022GL098509. [PMID: 36582260 PMCID: PMC9786557 DOI: 10.1029/2022gl098509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 09/08/2022] [Accepted: 09/18/2022] [Indexed: 06/17/2023]
Abstract
Microseismic noise has been used for seismic velocity monitoring. However, such signals are dominated by low-frequency surface waves that are not ideal for detecting changes associated with small tectonic processes. Here we show that it is possible to extract stable, high-frequency body waves using seismic tremors generated by freight trains. Such body waves allow us to focus on small velocity perturbations in the crust with high spatial resolution. We report on 10 years of seismic velocity temporal changes at the San Jacinto Fault. We observe and map a two-month-long episode of velocity changes with complex spatial distribution and interpret the velocity perturbation as produced by a previously undocumented slow-slip event. We verify the hypothesis through numerical simulations and locate this event along a fault segment believed to be locked. Such a slow-slip event stresses its surroundings and may trigger a major earthquake on a fault section approaching failure.
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Affiliation(s)
- Y. Sheng
- University Grenoble AlpesUniversity Savoie Mont BlancCNRSIRDUniversity Gustave EiffelGrenobleFrance
| | - A. Mordret
- University Grenoble AlpesUniversity Savoie Mont BlancCNRSIRDUniversity Gustave EiffelGrenobleFrance
| | - K. Sager
- Department of Earth, Environmental and Planetary SciencesBrown UniversityProvidenceRIUSA
| | - F. Brenguier
- University Grenoble AlpesUniversity Savoie Mont BlancCNRSIRDUniversity Gustave EiffelGrenobleFrance
| | - P. Boué
- University Grenoble AlpesUniversity Savoie Mont BlancCNRSIRDUniversity Gustave EiffelGrenobleFrance
| | - B. Rousset
- University Grenoble AlpesUniversity Savoie Mont BlancCNRSIRDUniversity Gustave EiffelGrenobleFrance
- Institut Terre et Environnement de StrasbourgUniversité de StrasbourgStrasbourgFrance
| | - F. Vernon
- Institute of Geophysics and Planetary PhysicsUniversity of California, San DiegoLa JollaCAUSA
| | - Q. Higueret
- University Grenoble AlpesUniversity Savoie Mont BlancCNRSIRDUniversity Gustave EiffelGrenobleFrance
| | - Y. Ben‐Zion
- Department of Earth Sciences and Southern California Earthquake CenterUniversity of Southern CaliforniaLos AngelesCAUSA
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Sheng Y, Qian W, Guo S. Impact of orthotopic versus subcutaneous implantation on patient-derived xenograft transcriptomic profile. Eur J Cancer 2022. [DOI: 10.1016/s0959-8049(22)00825-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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15
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Sheng Y, Zhao XL, Xu YY, Jin DQ. [Fulminant myocarditis caused by severe fever with thrombocytopenia syndrome bunyavirus in a child]. Zhonghua Er Ke Za Zhi 2022; 60:717-718. [PMID: 35768364 DOI: 10.3760/cma.j.cn112140-20211122-00977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- Y Sheng
- Department of Pediatric Intensive Care Unit, Anhui Provincial Children's Hospital, Hefei 230051, China
| | - X L Zhao
- Department of Pediatric Intensive Care Unit, Anhui Provincial Children's Hospital, Hefei 230051, China
| | - Y Y Xu
- Department of Pediatric Intensive Care Unit, Anhui Provincial Children's Hospital, Hefei 230051, China
| | - D Q Jin
- Department of Pediatric Intensive Care Unit, Anhui Provincial Children's Hospital, Hefei 230051, China
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16
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Affiliation(s)
- Y-X Liu
- Department of Cell Biology, School of Life Sciences, Central South University, Changsha 410013, China
- Hunan Key Laboratory of Animal Models for Human Disease, School of Life Sciences, Central South University, Changsha 410013, China
| | - L Liu
- Department of Respiratory Medicine, Diagnosis and Treatment Center of Respiratory Disease, The Second Xiangya Hospital of Central South University, Changsha 410010, China
| | - Y Dong
- Department of Cell Biology, School of Life Sciences, Central South University, Changsha 410013, China
- Hunan Key Laboratory of Animal Models for Human Disease, School of Life Sciences, Central South University, Changsha 410013, China
| | - M Zhao
- Department of Cell Biology, School of Life Sciences, Central South University, Changsha 410013, China
| | - Y Sheng
- Department of Cell Biology, School of Life Sciences, Central South University, Changsha 410013, China
| | - L-L Fan
- Department of Cell Biology, School of Life Sciences, Central South University, Changsha 410013, China
- Hunan Key Laboratory of Animal Models for Human Disease, School of Life Sciences, Central South University, Changsha 410013, China
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17
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Zhang WB, Yang QB, Wu SF, Lu SH, Cheng M, Sheng Y, Zhang QC, Yang LF, Yu L, Yan SX. [Application of diffusion-weighted magnetic resonance imaging in evaluating the efficacy of radiotherapy and chemotherapy for esophageal cancer]. Zhonghua Yi Xue Za Zhi 2021; 101:3427-3430. [PMID: 34758548 DOI: 10.3760/cma.j.cn112137-20210709-01544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
This study was a prospective single arm trial conducted in Zhejiang Jinhua Guangfu hospital from February 2018 to June 2020. A total of 39 patients (32 males and 7 females) with esophageal cancer, aged from 44 to 82 (69±9) years were enrolled. Diffusion weighted magnetic resonance imaging(MR-DWI) was implemented to evaluate the changes of apparent diffusion coefficient(ADC) value before and after chemoradiotherapy. The results showed that the ADC value after chemoradiotherapy was higher than that before treatment[(2.03±0.42)×10⁻³ mm 2/s vs (1.60±0.28)×10⁻³ mm2/s], and there was a positive correlation between the increase of ADC value and the prognosis of patients.
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Affiliation(s)
- W B Zhang
- Department of Radiotherapy,the First People's Hospital of Jiande,Jiande 311600,China
| | - Q B Yang
- Department of Radiology,Zhejiang Jinhua Guangfu Hospital,Jinhua 321000,China
| | - S F Wu
- Special Inspection Branch, Jinhua 5th Hospital,Jinhua 321000,China
| | - S H Lu
- Department of Radiology,Zhejiang Jinhua Guangfu Hospital,Jinhua 321000,China
| | - M Cheng
- Department of Thoracic Surgery,Zhejiang Jinhua Guangfu Hospital,Jinhua 321000,China
| | - Y Sheng
- Department of Digestive Medicine,Zhejiang Jinhua Guangfu Hospital,Jinhua 321000,China
| | - Q C Zhang
- Department of Radiology,Zhejiang Jinhua Guangfu Hospital,Jinhua 321000,China
| | - L F Yang
- Department of Radiology,Zhejiang Jinhua Guangfu Hospital,Jinhua 321000,China
| | - L Yu
- Department of Radiology,Zhejiang Jinhua Guangfu Hospital,Jinhua 321000,China
| | - S X Yan
- Department of Radiotherapy,the First Affiliated Hospital Zhejiang University School of Medicine,Hangzhou 310003,China
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18
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Karukonda P, Oyekunle T, Natesan D, Kalman N, Sheng Y, O'Daniel J, Niedzwiecki D, Koontz B. Impact of Target Volume and Image Guidance on Post-Prostatectomy Patients Treated With Intensity Modulated Radiation Therapy. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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19
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Li X, Wu Q, Wu Q, Wang C, Sheng Y, Wang W, Stephens H, Yin F, Ge Y. Collect Insights of an H&N IMRT Planning AI Agent Through Analyzing Relationships Between Fluence Map Prediction Error and the Corresponding Dosimetric Impacts. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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20
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Hito M, Wang W, Stephens H, Xie Y, Li R, Yin F, Ge Y, Wu Q, Wu Q, Sheng Y. Assessing the Robustness and Performance of Artificial Intelligence Powered Planning Tools in Clinical Settings. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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21
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Ramirez-Fort MK, Meier-Schiesser B, Lachance K, Mahase SS, Church CD, Niaz MJ, Liu H, Navarro V, Nikolopoulou A, Kazakov DV, Contassot E, Nguyen DP, Sach J, Hadravsky L, Sheng Y, Tagawa ST, Wu X, Lange CS, French LE, Nghiem PT, Bander NH. Folate hydrolase-1 (FOLH1) is a novel target for antibody-based brachytherapy in Merkel cell carcinoma. Skin Health Dis 2021; 1. [PMID: 34541577 PMCID: PMC8447486 DOI: 10.1002/ski2.9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Backgrounds Folate Hydrolase‐1 (FOLH1; PSMA) is a type II transmembrane protein, luminally expressed by solid tumour neo‐vasculature. Monoclonal antibody (mAb), J591, is a vehicle for mAb‐based brachytherapy in FOLH1+ cancers. Brachytherapy is a form of radiotherapy that involves placing a radioactive material a short distance from the target tissue (e.g., on the skin or internally); brachytherapy is commonly accomplished with the use of catheters, needles, metal seeds and antibody or small peptide conjugates. Herein, FOLH1 expression in primary (p) and metastatic (m) Merkel cell carcinoma (MCC) is characterized to determine its targeting potential for J591‐brachytherapy. Materials & Methods Paraffin sections from pMCC and mMCC were evaluated by immunohistochemistry for FOLH1. Monte Carlo simulation was performed using the physical properties of conjugated radioisotope lutetium‐177. Kaplan–Meier survival curves were calculated based on patient outcome data and FOLH1 expression. Results Eighty‐one MCC tumours were evaluated. 67% (54/81) of all cases, 77% (24/31) pMCC and 60% (30/50) mMCC tumours were FOLH1+. Monte Carlo simulation showed highly localized ionizing tracks of electrons emitted from the targeted neo‐vessel. 42% (34/81) of patients with FOLH1+/− MCC had available survival data for analysis. No significant differences in our limited data set were detected based on FOLH1 status (p = 0.4718; p = 0.6470), staining intensity score (p = 0.6966; p = 0.9841) or by grouping staining intensity scores (− and + vs. ++, +++, +++) (p = 0.8022; p = 0.8496) for MCC‐specific survival or recurrence free survival, respectively. Conclusions We report the first evidence of prevalent FOLH1 expression within MCC‐associated neo‐vessels, in 60‐77% of patients in a large MCC cohort. Given this data, and the need for alternatives to immune therapies it is appropriate to explore the safety and efficacy of FOLH1‐targeted brachytherapy for MCC. What's already known about this topic? We report the first evidence of prevalent folate hydrolase‐1 (FOLH1; also known as prostate‐specific membrane antigen) expression within MCC‐associated neovessels.
What does this study add? Herein, FOLH1 expression in Merkel cell carcinoma neovasculature is validated, and the therapeutic mechanism of specific, systemic targeting of disseminated disease with antibody‐based brachytherapy, is defined.
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Affiliation(s)
- M K Ramirez-Fort
- Department of Life Sciences, BioFort®, Guaynabo, Puerto Rico, USA.,Department of Urology, Weill Cornell Medicine, New York, New York, USA.,Department of Radiation Oncology, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - B Meier-Schiesser
- Department of Dermatology, University Hospital of Zürich, Zürich, Switzerland
| | - K Lachance
- Department of Dermatology, University of Washington, Seattle, Washington, USA
| | - S S Mahase
- Department of Radiation Oncology, Weill Cornell Medicine, New York, New York, USA
| | - C D Church
- Department of Dermatology, University of Washington, Seattle, Washington, USA
| | - M J Niaz
- Department of Urology, Weill Cornell Medicine, New York, New York, USA
| | - H Liu
- Department of Urology, Weill Cornell Medicine, New York, New York, USA
| | - V Navarro
- Department of Urology, Weill Cornell Medicine, New York, New York, USA
| | - A Nikolopoulou
- Department of Radiology, Weill Cornell Medicine, New York, New York, USA
| | - D V Kazakov
- Department of Dermatology, University Hospital of Zürich, Zürich, Switzerland.,Sikl's Department of Pathology, Medical Faculty in Pilsen, Charles University in Prague, Pilsen, Czech Republic
| | - E Contassot
- Department of Dermatology, University Hospital of Zürich, Zürich, Switzerland
| | - D P Nguyen
- Department of Urology, Weill Cornell Medicine, New York, New York, USA
| | - J Sach
- Sikl's Department of Pathology, Medical Faculty in Pilsen, Charles University in Prague, Pilsen, Czech Republic
| | - L Hadravsky
- Sikl's Department of Pathology, Medical Faculty in Pilsen, Charles University in Prague, Pilsen, Czech Republic
| | - Y Sheng
- Shanghai Proton and Heavy Ion Center, Shanghai, China
| | - S T Tagawa
- Department of Urology, Weill Cornell Medicine, New York, New York, USA.,Department of Medicine, Weill Cornell Medicine, New York, New York, USA
| | - X Wu
- Shanghai Proton and Heavy Ion Center, Shanghai, China.,Innovative Cancer Institute, Miami, Florida, USA
| | - C S Lange
- Department of Life Sciences, BioFort®, Guaynabo, Puerto Rico, USA.,Department of Radiation Oncology, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - L E French
- Department of Dermatology, Münich University Hospital, Münich, Germany
| | - P T Nghiem
- Department of Dermatology, University of Washington, Seattle, Washington, USA
| | - N H Bander
- Department of Urology, Weill Cornell Medicine, New York, New York, USA
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22
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Sheng Y, Carpenter JS, Elomba CD, Alwine JS, Yue M, Chen CX, Tisdale JE. Effect of menopausal symptom treatment options on palpitations: a systematic review. Climacteric 2021; 25:128-140. [PMID: 34346265 DOI: 10.1080/13697137.2021.1948006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
This systematic review provides an overview of the effects of menopausal symptom treatment options on palpitations, defined as feelings of missed or exaggerated heart beats, reported by perimenopausal and postmenopausal women. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, searches were conducted in PubMed, CINAHL and PsycINFO to identify articles meeting pre-specified inclusion criteria. Of 670 unique articles identified, 37 were included in the review. Treatments included drug therapies and non-drug therapies. Palpitations were studied as an outcome in 89% of articles and as an adverse effect in 11%. Articles provided mostly level II/III evidence due to their design and/or small sample sizes. Based on available evidence, no therapies can be fully recommended for clinical practice. Only some hormonal agents (e.g. estradiol) can be recommended with caution based on some positive evidence for reducing palpitation prevalence or severity. However, other drug therapies (e.g. moxonidine, atenolol), dietary supplementary treatments (e.g. isoflavones, Rheum rhaponticum, sage), cognitive-behavioral intervention and auricular acupressure cannot be recommended given the existing evidence. Additional well-designed randomized controlled treatment trials focusing on palpitations during the menopause transition as an inclusion criteria and outcome are needed to advance the field.
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Affiliation(s)
- Y Sheng
- School of Nursing, Indiana University, Indianapolis, IN, USA
| | - J S Carpenter
- School of Nursing, Indiana University, Indianapolis, IN, USA
| | - C D Elomba
- School of Nursing, Indiana University, Indianapolis, IN, USA
| | - J S Alwine
- School of Nursing, Indiana University, Indianapolis, IN, USA
| | - M Yue
- College of Pharmacy, Purdue University, West Lafayette, IN, USA
| | - C X Chen
- School of Nursing, Indiana University, Indianapolis, IN, USA
| | - J E Tisdale
- College of Pharmacy, Purdue University, West Lafayette, IN, USA.,School of Medicine, Indiana University, Indianapolis, IN, USA
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Abstract
Human papillomavirus (HPV) has been the leading cause of cervical cancer for over 25 years. Approximately 5.5–11% of all cervical cancers are reported to be HPV-negative, which can be attributed to truly negative and false-negative results. The truly HPV-negative cervical cancers are almost all cervical adenocarcinomas with unclear etiology. False HPV negativity can arise from histological misclassification, latent HPV infection, disruption of the targeting fragment, non-high risk HPV infection, and HPV testing methods. HPV-negative cervical cancers are often diagnosed at an advanced FIGO stage and have a poor prognosis; thus, the management of these cases requires greater attention.
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Affiliation(s)
- Biyuan Xing
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianfeng Guo
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhan Sheng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Wu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yingchao Zhao
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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24
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Ni Y, Sheng Y, Zhang J, Li X, Wu Q, Wang C. Automatic VMAT Planning via MLC Dynamic Sequence Prediction (AVP-DSP): A Novel Deep-Learning Method for Real-Time Prostate Treatment Planning. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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25
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Wang W, Sheng Y, Palta M, Czito B, Willett C, Li X, Wang C, Zhang J, Yin F, Wu Q, Ge Y, Wu Q. Fluence Map Prediction for Fast Pancreas Stereotactic Body Radiation Therapy (SBRT) Planning via Deep Learning. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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26
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Dong L, Sun R, Liu J, Xie L, Li X, Qu S, Sheng Y. PGI7 Cost-Effectiveness Analysis of Vonoprazan Versus Proton Pump Inhibitors in the Treatment of Reflux Esophagitis in China. Value Health Reg Issues 2020. [DOI: 10.1016/j.vhri.2020.07.225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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27
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Yang K, Sheng Y, Wu B, Wu G. Risk factors for in-hospital mortality in patients with cancer and COVID-19 – Authors' reply. Lancet Oncol 2020; 21:e408. [PMID: 32888458 PMCID: PMC7462440 DOI: 10.1016/s1470-2045(20)30467-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 08/03/2020] [Indexed: 11/20/2022]
Affiliation(s)
- Kunyu Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhan Sheng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bian Wu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Wu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Han X, Xia F, Chen G, Sheng Y, Wang W, Wang Z, Zhao M, Wang X. Superior rectal artery embolization for bleeding internal hemorrhoids. Tech Coloproctol 2020; 25:75-80. [PMID: 32712932 DOI: 10.1007/s10151-020-02312-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 07/16/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND The aim of the present study was to evaluate clinical efficacy and safety of superselective embolization of the superior rectal artery (SRA) for the treatment of internal hemorrhoidal bleeding. METHODS Patients with stage II and stage III internal hemorrhoids, treated by interventional embolization of the SRA in our department between January 2017 and June 2019 were retrospectively evaluated. All patients suffering from disabling chronic hematochezia and some with relative contraindications for operation (n = 17) or rejection of conventional hemorrhoidectomy (n = 15). Superselective SRA branch embolization was performed using gelatin sponge particles (350-560 μm) and metallic coils (2-3 mm). This treatment process was planned by a multidisciplinary team consisting of proctologist, gastroenterologist and radiologist. The surgical efficacy, postoperative complications and follow-up outcomes were observed. RESULTS There were 32 patients (18 males, mean age 52 ± 12 years, range: 22-78 years), 12 (37%) with stage II hemorrhoids and 20 (63%) with stage III hemorrhoids. Embolization was successful in all patients, and bleeding symptoms resolved in 27 (84.4%) patients. The remaining 5 (15.6%) patients underwent either stapled hemorrhoidopexy (n = 4) or sclerotherapy (n = 1). Some patients experienced different degrees of pain (n = 4;12.5%), low fever (n = 11;34.4%), and tenesmus (n = 17;53.1%), which all spontaneously regressed without further treatment. All patients were followed up for at least 1 year. There were no serious complications, such as infection, intestinal ischemia or massive hemorrhage. Four patients (14.8%) had rebleeding during the first months of follow-up. All patients with re-bleeding were successfully treated with internal iliac arteriography and branch embolization and did not experience further bleeds after a minimum follow up 3 months follow-up. CONCLUSIONS The short-term efficacy of superselective SRA embolization for grade II-III internal hemorrhoids is good, and this method is safe and feasible.
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Affiliation(s)
- X Han
- Department of Interventional Medicine and Vascular, Binzhou Medical University Hospital, Binzhou, 256603, Shandong, People's Republic of China
| | - F Xia
- Department of Interventional Medicine and Vascular, Binzhou Peoples Hospital, Binzhou, 256600, Shandong, People's Republic of China
| | - G Chen
- Department of Interventional Medicine and Vascular, Binzhou Medical University Hospital, Binzhou, 256603, Shandong, People's Republic of China
| | - Y Sheng
- Department of Interventional Medicine and Vascular, Binzhou Medical University Hospital, Binzhou, 256603, Shandong, People's Republic of China
| | - W Wang
- Department of Interventional Medicine and Vascular, Binzhou Medical University Hospital, Binzhou, 256603, Shandong, People's Republic of China
| | - Z Wang
- Department of Interventional Medicine and Vascular, Binzhou Medical University Hospital, Binzhou, 256603, Shandong, People's Republic of China
| | - M Zhao
- Department of Interventional Medicine and Vascular, Binzhou Medical University Hospital, Binzhou, 256603, Shandong, People's Republic of China
| | - X Wang
- Department of Gastroenterology, Binzhou Medical University Hospital, No.661 Huanghe 2nd Road, Binzhou, 256603, Shandong, People's Republic of China.
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Yang K, Sheng Y, Huang C, Jin Y, Xiong N, Jiang K, Lu H, Liu J, Yang J, Dong Y, Pan D, Shu C, Li J, Wei J, Huang Y, Peng L, Wu M, Zhang R, Wu B, Li Y, Cai L, Li G, Zhang T, Wu G. Clinical characteristics, outcomes, and risk factors for mortality in patients with cancer and COVID-19 in Hubei, China: a multicentre, retrospective, cohort study. Lancet Oncol 2020; 21:904-913. [PMID: 32479787 PMCID: PMC7259917 DOI: 10.1016/s1470-2045(20)30310-7] [Citation(s) in RCA: 376] [Impact Index Per Article: 94.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 05/05/2020] [Accepted: 05/06/2020] [Indexed: 01/08/2023]
Abstract
Background Patients with cancer are a high-risk population in the COVID-19 pandemic. We aimed to describe clinical characteristics and outcomes of patients with cancer and COVID-19, and examined risk factors for mortality in this population. Methods We did a retrospective, multicentre, cohort study of 205 patients with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and with a pathological diagnosis of a malignant tumour in nine hospitals within Hubei, China, from Jan 13 to March 18, 2020. All patients were either discharged from hospitals or had died by April 20, 2020. Clinical characteristics, laboratory data, and cancer histories were compared between survivors and non-survivors by use of χ2 test. Risk factors for mortality were identified by univariable and multivariable logistic regression models. Findings Between Jan 13 and Mar 18, 2020, 205 patients with cancer and laboratory-confirmed SARS-CoV-2 infection were enrolled (median age 63 years [IQR 56–70; range 14–96]; 109 [53%] women). 183 (89%) had solid tumours and 22 (11%) had haematological malignancies. The median duration of follow-up was 68 days (IQR 59–78). The most common solid tumour types were breast (40 [20%] patients), colorectal (28 [14%]), and lung cancer (24 [12%]). 54 (30%) of 182 patients received antitumour therapies within 4 weeks before symptom onset. 30 (15%) of 205 patients were transferred to an intensive care unit and 40 (20%) died during hospital admission. Patients with haematological malignancies had poorer prognoses than did those with solid tumours: nine (41%) of 22 patients with haematological malignancies died versus 31 (17%) of 183 patients with solid tumours (hazard ratio for death 3·28 [95% CI 1·56–6·91]; log rank p=0·0009). Multivariable regression analysis showed that receiving chemotherapy within 4 weeks before symptom onset (odds ratio [OR] 3·51 [95% CI 1·16–10·59]; p=0·026) and male sex (OR 3·86 [95% CI 1·57–9·50]; p=0·0033) were risk factors for death during admission to hospital. Interpretation Patients with cancer and COVID-19 who were admitted to hospital had a high case-fatality rate. Unfavourable prognostic factors, including receiving chemotherapy within 4 weeks before symptom onset and male sex, might help clinicians to identify patients at high risk of fatal outcomes. Funding National Natural Science Foundation of China.
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Affiliation(s)
- Kunyu Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhan Sheng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | | | - Yang Jin
- Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Nian Xiong
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Wuhan Red Cross Hospital, Wuhan, China
| | - Ke Jiang
- Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongda Lu
- Department of Oncology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Liu
- Department of Oncology, Huanggang Central Hospital, Huanggang, China
| | - Jiyuan Yang
- Department of Oncology, The First People's Hospital Affiliated to Yangtze University, Jingzhou, China
| | - Youhong Dong
- Department of Oncology, Xiangyang No.1 People's Hospital Affiliated to Hubei University of Medicine, Xiangyang, China
| | - Dongfeng Pan
- Department of Oncology, Suizhou Central Hospital, Hubei University of Medicine, Suizhou, China
| | - Chengrong Shu
- Cancer Center, Xianning Central Hospital, the First Affiliated Hospital of Hubei University of Science and Technology, Xianning, China
| | - Jun Li
- Department of Oncology, The Central Hospital of Xiaogan, Xiaogan, China
| | - Jielin Wei
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Huang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ling Peng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengjiao Wu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruiguang Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bian Wu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhui Li
- Department of Oncology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liqiong Cai
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guiling Li
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tao Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Wu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Sheng Y, Chen YJ, Qian ZM, Zheng J, Liu Y. Cyclophosphamide induces a significant increase in iron content in the liver and spleen of mice. Hum Exp Toxicol 2020; 39:973-983. [PMID: 32129080 DOI: 10.1177/0960327120909880] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Objective: Oxidative stress is one of the major mechanisms of cyclophosphamide (CPX)-induced toxicities. However, it is unknown how CPX induces oxidative stress. Based on the available information, we speculated that CPX could increase iron content in the tissues and then induce oxidative stress. Method: We tested this hypothesis by investigating the effects of CPX on iron and ferritin contents, expression of transferrin receptor 1 (TfR1), ferroportin 1 (Fpn1), iron regulatory proteins (IRPs), hepcidin, and nuclear factor erythroid 2-related factor-2 (Nrf2) in the liver and spleen, and also on reticulocyte count, immature reticulocyte fraction, and hemoglobin (Hb) in the blood in c57/B6 mouse. Results: We demonstrated that CPX could induce a significant increase in iron contents and ferritin expression in the liver and spleen, notably inhibit erythropoiesis and Hb synthesis and lead to a reduction in iron usage. The reduced expression in TfR1 and Fpn1 is a secondary effect of CPX-induced iron accumulation in the liver and spleen and also partly associated with the suppressed IRP/iron-responsive element system, upregulation of hepcidin, and downregulation of Nrf2. Conclusions: The reduced iron usage is one of the causes for iron overload in the liver and spleen and the increased tissue iron might be one of the mechanisms for CPX to induce oxidative stress and toxicities.
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Affiliation(s)
- Y Sheng
- Laboratory of Neuropharmacology, Fudan University School of Pharmacy, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Y-J Chen
- Laboratory of Neuropharmacology, Fudan University School of Pharmacy, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Z-M Qian
- Laboratory of Neuropharmacology, Fudan University School of Pharmacy, Shanghai, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Institute of Translational & Precision Medicine, Nantong University, Nantong, China
| | - J Zheng
- Institute of Translational & Precision Medicine, Nantong University, Nantong, China
| | - Y Liu
- Department of Pain and Rehabilitation, The Second Affiliated Hospital, The Army Medical University, Chongqing, China
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31
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Yoo S, Sheng Y, Blitzblau R, Suneja G, O'Neill L, Morrison J, Catalano S, Yin F, Wu Q. Implementation of Machine Learning-Based Treatment Planning Tool for Whole Breast Radiotherapy Using Irregular Surface Compensator Technique. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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32
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Li T, Vergalasova I, Wang C, Sheng Y, Yun Y, Liu H, Shi W, Alonso-Basanta M, Dong L. Significant Inter-Planner Variability in Plan Quality for VMAT-Based Multi-Target Stereotactic Radiosurgery (SRS): A Multi-Institution Analysis. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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33
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Wang C, Li X, Chang Y, Sheng Y, Zhang J, Yin F, Wu Q. Rapid Auto IMRT Planning Using Cascade Dense Convolutional Neural Network (CDCNN): A Feasibility Study for Fluence Map Prediction Using Deep Learning on Prostate IMRT Patients. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.760] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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34
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Li B, Zhang J, Zhang K, Li G, Zheng A, Li J, Li X, Sun X, Chen S, Chen X, Liu L, Ye S, Liu X, Sheng Y, Ge H, Yu Z, Stchin G, Dai M, Wang J, Liu S. Chemoradiation with ENI versus IFI, High-Dose Versus Standard-Dose Radiation Therapy for Locally Advanced Esophageal Squamous Cell Carcinoma: Preliminary Results of Multicenter, Phase Ⅲ Clinical Trial (NROG 001-Northern Radiation Oncology Group of China). Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.2096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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35
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Ran D, Cai M, Huang H, Zhou Y, Zheng X, Tang L, Wen L, Zhu Z, Zhang Y, Li W, Qian D, Jin L, Zhang Q, Xu Q, Zhang X, Sheng Y, Yang S. Association analysis of the major histocompatibility complex region in psoriasis vulgaris. Br J Dermatol 2019; 180:1553-1554. [PMID: 30737775 DOI: 10.1111/bjd.17747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- D Ran
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - M Cai
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - H Huang
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - Y Zhou
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - X Zheng
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - L Tang
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - L Wen
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - Z Zhu
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - Y Zhang
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - W Li
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - D Qian
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - L Jin
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - Q Zhang
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - Q Xu
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - X Zhang
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - Y Sheng
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
| | - S Yang
- Institute of Dermatology and Department of Dermatology of the First Affiliated Hospital, Anhui Medical University, Hefei, 230032, Anhui, China.,Key Laboratory of Dermatology, Anhui Medical University, Ministry of Education, Hefei, 230032, China
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Liu C, Dou J, Sheng Y, Wu J, Hu W, Li Y, Lin Y, Tao H, Tang X, Du X, Yu C. Abstract P1-02-10: Early stage breast cancer screening using an emerging novel liquid biopsy screening technology. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p1-02-10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: An emerging novel liquid biopsy technology called Cancer Differentiation Analysis (CDA) has been evaluated as a viable early stage breast cancer screening tool. CDA technology is a blood-sample based, multi-level, multi-parameter diagnostic method which detects signals from both protein, cellular, and to some extent, molecular levels, in which multiple aspects of information can be collected to improve diagnostic accuracy, even for early stage of cancer. Improving capability to screen breast cancer is an important on-going research effort, as breast cancer represents a leading cancer with high incidence rate.
Methods: In this single-blind study, 22 breast cancer patients and 25 healthy individuals were recruited at Changhai Hospital of Shanghai. Histopathological examination results of breast cancer patients were collected, 22 cases were diagnosed as infiltrating ductal carcinoma of breast, of which 10 patients were stage I breast cancer. 25 individuals were confirmed healthy after physical examinations. Peripheral blood was drawn in EDTA tubes For CDA tests. CDA data of 22 breast cancer patients and 25 healthy individuals were conducted using SPSS, and the results were shown in the table below.
Results: The average CDA of breast cancer, stageIbreast cancer, and controls were 43.20, 44.17 and 36.17 (rel. units) respectively as shown in Table 1. Both breast cancer and stage I breast cancer could be significantly distinguished from the control (p = 0.000, p = 0.001, respectively). For stage I breast cancer vs. control group, Area under ROC curve was 0.876, sensitivity and specificity were both 80.0% (Table 2). In contrast to traditional breast cancer screening methodologies which have relatively low sensitivity and high false positives for stage I detection, often with radiation side effects and high costs, advantages of CDA technology include ability to detect early stage cancer with relatively high sensitivity and specificity, and it is also highly cost effective without side effects.
Conclusions: Initial results showed that CDA technology could effectively distinguish stageIbreast cancer from healthy individuals, CDA could be a potential candidate for breast cancer screening.
Table 1Summary of CDA test resultsGroupSample SizeAge RangeAge MeanAge MedianCDA Mean (rel. units)CDA Median (rel. units)CDA STDEVControl2523 - 67413735.6336.176.98Breast Cancer2239 - 78545343.2042.304.18Stage I Breast Cancer1043 - 78595944.1743.254.29Stage II Breast Cancer839 - 55474941.2840.303.06Stage III Breast Cancer255555542.2042.202.12Stage IV Breast Cancer251 - 64585847.0047.007.78
Table 2AUC, Sensitivity and Specificity of Control vs. Stage I breast cancerStage I Breast Cancer vs. ControlArea Under the CurveSensitivitySpecificity 0.87680.0%80.0%
Citation Format: Liu C, Dou J, Sheng Y, Wu J, Hu W, Li Y, Lin Y, Tao H, Tang X, Du X, Yu C. Early stage breast cancer screening using an emerging novel liquid biopsy screening technology [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P1-02-10.
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Affiliation(s)
- C Liu
- Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Bio-Medical Science Co., Ltd., Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - J Dou
- Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Bio-Medical Science Co., Ltd., Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - Y Sheng
- Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Bio-Medical Science Co., Ltd., Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - J Wu
- Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Bio-Medical Science Co., Ltd., Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - W Hu
- Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Bio-Medical Science Co., Ltd., Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - Y Li
- Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Bio-Medical Science Co., Ltd., Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - Y Lin
- Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Bio-Medical Science Co., Ltd., Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - H Tao
- Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Bio-Medical Science Co., Ltd., Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - X Tang
- Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Bio-Medical Science Co., Ltd., Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - X Du
- Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Bio-Medical Science Co., Ltd., Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - C Yu
- Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Bio-Medical Science Co., Ltd., Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
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Tao H, Lin Y, Liu C, Dou J, Sheng Y, Wu J, Hu W, Li Y, Tang X, Yu C, Du X. Abstract P1-02-09: CDA screening technology for multi-ethnic group, early stage breast cancer screening. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p1-02-09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Breast cancer is the second leading cause of death from cancer in American women. Current breast cancer screening technologies have issues with poor sensitivity for early stage breast cancer, high false positives, radiation side effects, etc. Cancer Differentiation Analysis (CDA) technology is a blood-sample based, multi-level, multi-parameter diagnostic method which detects signals from both proteins, cells, and to some extent, molecular level, in which multiple aspects of information are collected to improve diagnostic accuracy. CDA technology has been investigated as a viable clinical utility in breast cancer screening, particularly for early stage breast screening with clear advantages (both whole blood and serum can be used, ability to detect early, easy, simple, no side effects, and high degree of sensitivity and specificity).
Methods: In this study, the human subjects involved are Caucasians, with serum samples of 44 pathologically confirmed breast cancer patients and 34 healthy individuals from 3 blood bank centers in the USA, of which 40 cases were stageIbreast cancer, 2 cases were stageII, and the other 2 cases were stage III breast cancer. CDA data of 44 breast cancer patients and 34 healthy individuals were collected in US lab and analyzed using SPSS, and the results were shown in the table below. Results from the above study was compared with a clinical study on Asian group with data collected in lab in China using CDA technology.
Results: The average CDA value of all breast cancer and stageIbreast cancer samples, and controls were 45.99, 45.76 and 42.36 (rel. units) respectively (see Table 1). Both breast cancer and stageIbreast cancer could be significantly distinguished from the control group (p < 0.001) (Table 2). For stageIbreast cancer vs. control group, Area under ROC curve was 0.727, sensitivity and specificity were 62.5% and 82.4% respectively, which is higher than a typical mammogram. To compare with different ethnic groups, data collected on an Asian group is also shown in Table 2, which showed that overall, AUC, sensitivity and specificity are comparable (some difference may be attributed to sample type difference (whole blood vs. serum)) for early stage breast cancer patients for those two ethnic groups, demonstrating that CDA technology can be extended to multiple ethnic groups.
Conclusions: CDA screening can be extended to different ethnic group including Caucasian and Asian with good sensitivity and specificity for stageIbreast cancer.
We thank Ugur Basmaci, Sunsil Pandit and Sharon Vorse-Yu for their support.
Table 1Summary of CDA Test ResultsGroupSample SizeAge RangeAge MeanAge MedianCDA Mean (rel. units)CDA Median (rel. units)CDA STDEVControl3436 -79575742.3642.652.75Breast Cancer4436 – 77606145.9946.504.22Stage I Breast Cancer4036 – 77606145.7645.554.26Stage II Breast Cancer251 – 64585847.0547.054.88Stage III Breast Cancer262 – 75696949.5049.502.55
Table 2AUC, Sensitivity and Specificity of Control vs. Stage I Breast CancerStage I Breast Cancer vs. ControlArea Under the CurveSensitivitySpecificityCaucasian (Stage I)0.72762.5%82.4%Asian# (Stage I)0.87680.0%80.0%# Whole blood samples. 10 stage I breast cancer samples and 25 control samples
Citation Format: Tao H, Lin Y, Liu C, Dou J, Sheng Y, Wu J, Hu W, Li Y, Tang X, Yu C, Du X. CDA screening technology for multi-ethnic group, early stage breast cancer screening [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P1-02-09.
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Affiliation(s)
- H Tao
- Anpac Bio-Medical Science Co., Ltd, Shanghai, China; Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - Y Lin
- Anpac Bio-Medical Science Co., Ltd, Shanghai, China; Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - C Liu
- Anpac Bio-Medical Science Co., Ltd, Shanghai, China; Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - J Dou
- Anpac Bio-Medical Science Co., Ltd, Shanghai, China; Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - Y Sheng
- Anpac Bio-Medical Science Co., Ltd, Shanghai, China; Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - J Wu
- Anpac Bio-Medical Science Co., Ltd, Shanghai, China; Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - W Hu
- Anpac Bio-Medical Science Co., Ltd, Shanghai, China; Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - Y Li
- Anpac Bio-Medical Science Co., Ltd, Shanghai, China; Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - X Tang
- Anpac Bio-Medical Science Co., Ltd, Shanghai, China; Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - C Yu
- Anpac Bio-Medical Science Co., Ltd, Shanghai, China; Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
| | - X Du
- Anpac Bio-Medical Science Co., Ltd, Shanghai, China; Changhai Hospital, Naval Medical University, Shanghai, China; Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; Anpac Technology USA Co., Ltd., San Jose, CA
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Sheng Y, Hong SL, Ke X, Yang YC, Huang JJ, Liu J, Hu GH. [Rosai-Dorfman disease with nasal septum involvement:two cases report]. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2018; 31:718-720. [PMID: 29871357 DOI: 10.13201/j.issn.1001-1781.2017.09.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Indexed: 11/12/2022]
Abstract
Clinical data of 2 cases with Rosai-Dorfman disease(RDD) originating from nasal septal mucosa were reported retrospectively,and the pertinent literature was reviewed. Without specific clinical features,RDD in nasal cavity could be misdiagnosed easily. Pathology revealed different morphologies of cell proliferation with engulfed lymphocytes,plasma cells and neutrophils. Immunohistochemical staining showed S-100(+),CD68(+),CD1(-).RDD disease generally has a benign course and is self-limited. Its diagnosis depends mainly on biopsy.As for the treatment of this disease,the strategies are not systemic and standard. Surgical treatment is used to excise the mass in nasal cavity,glucocorticoids treatment after surgery is inconclusive. The long-term effect need to be further observed..
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Li Y, Sheng Y, Xia C, Liang JM, Wu BJ, Zhang Q, Zhang XT, Ren XY. [Clinical application of a self-developed bone dust collector in mastoid cavity obliteration following mastoidectomy]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2018; 53:838-841. [PMID: 30453403 DOI: 10.3760/cma.j.issn.1673-0860.2018.11.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To introduce a self-developed bone dust collector designed by the authors and evaluate its efficiency in mastoid obliteration following mastoidectomy. Methods: Consecutive patients, from April 2017 to March 2018, who prepared to receive mastoidectomy were randomly divided into two groups, and in each group the bone dust was harvested by self-developed bone dust collector or by conventional used method respectively in mastoidectomy. The amount of the harvested bone dust and the time consumed in the collecting procedure were compared between two groups. The infection of the bone dust after mastoid obliteration was also evaluated during follow up. Results: 33 patients were recruited in bone dust collector group, and 31 patients in conventional method group.There is no significance of difference between two groups in sex ratio, age and pneumatization of mastoid cells (P>0.05 for all). The median amount of bone dust harvested by bone dust collector was significantly larger than that collected by conventional method (1.8 g vs 1.1 g, P<0.05). The median time spent in bone dust collector group was significantly shorter than that spent in conventional method group (4 minutes vs 6 minutes, P<0.05). No bone dust infection was found in the follow-up in all patients. Conclusion: The present self-developed bone dust collector is a easy and useful apparatus which can significantly improve the efficiency of collecting bone dust in mastoidectomy.
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Affiliation(s)
- Y Li
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710004, China
| | - Y Sheng
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710004, China
| | - C Xia
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710004, China
| | - J M Liang
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710004, China
| | - B J Wu
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710004, China
| | - Q Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710004, China
| | - X T Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710004, China
| | - X Y Ren
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an 710004, China
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Zhao P, Ren A, Dong P, Sheng Y, Li D. Antimicrobial Peptaibols, Trichokonins, Inhibit Mycelial Growth and Sporulation and Induce Cell Apoptosis in the Pathogenic Fungus Botrytis cinerea. APPL BIOCHEM MICRO+ 2018. [DOI: 10.1134/s0003683818040154] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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41
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Wang J, Yan F, Wang Y, Sheng Y, Li H. The Survival Time of 8376 Male Breast Cancer Patients. Clin Oncol (R Coll Radiol) 2018; 30:596-597. [PMID: 29857971 DOI: 10.1016/j.clon.2018.05.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Accepted: 05/16/2018] [Indexed: 11/18/2022]
Affiliation(s)
- J Wang
- Basic Medical College, Navy Medical University, Shanghai, China
| | - F Yan
- Basic Medical College, Navy Medical University, Shanghai, China
| | - Y Wang
- Department of Oncology, Changhai Hospital, Navy Medical University, Shanghai, China
| | - Y Sheng
- Department of Thyroid and Breast Surgery, Changhai Hospital, Navy Medical University, Shanghai, China
| | - H Li
- Department of Thyroid and Breast Surgery, Changhai Hospital, Navy Medical University, Shanghai, China
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Liu L, Zuo X, Zhu Z, Wen L, Yang C, Zhu C, Tang L, Cheng Y, Chen M, Zhou F, Zheng X, Wang W, Yin X, Tang H, Sun L, Yang S, Sheng Y, Cui Y, Zhang X. Genome-wide association study identifies three novel susceptibility loci for systemic lupus erythematosus in Han Chinese. Br J Dermatol 2018; 179:506-508. [PMID: 29494758 DOI: 10.1111/bjd.16500] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- L Liu
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.,Institute of Dermatology and Department of Dermatology, Huashan Hospital of Fudan University, Shanghai, 200040, China
| | - X Zuo
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Z Zhu
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - L Wen
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - C Yang
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - C Zhu
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - L Tang
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Y Cheng
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - M Chen
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - F Zhou
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - X Zheng
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - W Wang
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - X Yin
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.,Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, 48109, U.S.A
| | - H Tang
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - L Sun
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - S Yang
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Y Sheng
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China
| | - Y Cui
- Department of Dermatology, China-Japan Friendship Hospital, East Street Cherry Park, Chaoyang District, Beijing, 100029, China
| | - X Zhang
- Institute of Dermatology and Department of Dermatology, the First Affiliated Hospital, 81 Meishan Road, Hefei, Anhui, 230032, China.,Key Laboratory of Dermatology, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.,Institute of Dermatology and Department of Dermatology, Huashan Hospital of Fudan University, Shanghai, 200040, China
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Li A, Yuen V, Goulay-Dufaÿ S, Sheng Y, Standing J, Kwok P, Leung M, Leung A, Wong I, Irwin M. Pharmacokinetic and pharmacodynamic study of intranasal and intravenous dexmedetomidine. Br J Anaesth 2018; 120:960-968. [DOI: 10.1016/j.bja.2017.11.100] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2016] [Revised: 11/09/2017] [Accepted: 11/14/2017] [Indexed: 11/27/2022] Open
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Gao J, Zhu C, Zhang Y, Sheng Y, Luo X, Ye D, Sun L. 841 Association study and fine mapping major histocompatibility complex analysis in pemphigus vulgaris of Han Chinese population. J Invest Dermatol 2018. [DOI: 10.1016/j.jid.2018.03.851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Li YQ, Sheng Y, Liang L, Zhao Y, Li HY, Bai N, Wang T, Yuan L, Han HB. [Application of anoptomagnetic probe Gd-DO3A-EA-FITC in imaging and analyzing the brain interstitial space]. Beijing Da Xue Xue Bao Yi Xue Ban 2018; 50:221-225. [PMID: 29643518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
OBJECTIVE To investigate the application of the optical magnetic bimodal molecular probe Gd-DO3A-ethylthiouret-fluorescein isothiocyanate (Gd -DO3A-EA-FITC) in brain tissue imaging and brain interstitial space (ISS). METHODS In the study, 24 male SD rats were randomly divided into 3 groups, including magnetic probe group (n=6), optical probe group (n=6) and optical magnetic bimodal probe group (n=12), then the optical magnetic bimodal probe group was divided equally into magnetic probe subgroup (n=6) and optical probe subgroup (n=6). Referencing the brain stereotaxic atlas, the coronal globus pallidus as center level, the probes including gadolinium-diethylene triamine pentaacetic acid (Gd-DTPA), fluorescein isothiocyanate (FITC) and Gd-DO3A-EA-FITC of 2 μL (10 mmol/L) were injected into the caudate nucleus respectively, magnetic resonance imaging (MRI) was performed in the magnetic probe group and magnetic probe subgroup to image the dynamic diffusion and distribution of the probes in the brain ISS, a self-developed brain ISS image processing system was used to measure the diffusion coefficient, clearance, volume fraction and half-time in these two groups. Laser scanning confocal microscope (LSCM) was performed in vitro in the optical probe group and optical probe subgroup for fluorescence imaging at the time points 2 hours after the injection of the probe, and the distribution in the oblique sagittal slice was compared with the result of the first two groups. RESULTS For the magnetic probe group and magnetic probe subgroup, there were the same imaging results between the probes of Gd-DTPA and Gd-DO3A-EA-FITC. The diffusion parameters of Gd-DTPA and Gd-DO3A-EA-FITC were as follows: the average diffusion coefficients [(3.31±0.11)×10-4 mm2/s vs. (3.37±0.15)×10-4 mm2/s, t=0.942, P=0.360], the clearance [(3.04±0.37) mmol/L vs. (2.90±0.51) mmol/L, t=0.640, P=0.531], the volume fractions (17.18%±0.14% vs. 17.31%±0.15%, t=1.961, P=0.068), the half-time [(86.58±3.31) min vs. (84.61±2.38) min, t=1.412, P=0.177], the diffusion areas [(23.25±0.68) mm2 vs. (22.71±1.00) mm2, t=1.100, P=0.297]. The statistical analysis of each brain was made by t test, and the diffusion parameters were not statistically significant. Moreover, for the optical probe group and optical probe subgroup, the diffusion area of Gd-DO3A-EA-FITC [(22.61±1.16) mm2] was slightly larger than that of FITC [(22.10±1.29) mm2], the statistical analysis of each brain was made by t test, and the diffusion parameters were not statistically significant (t=0.713, P=0.492). CONCLUSION Gd-DO3A-EA-FITC shows the same imaging results as the traditional GD-DTPA, and it can be used in measuring brain ISS.
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Affiliation(s)
- Y Q Li
- Department of Chemical Biology, Peking University School of Pharmaceutical Sciences, Beijng 100191, China; Peking University Medical and Health Analysis Center, Beijng 100191, China; Beijing Key Lab of Magnetic Resonance Imaging Device and Technique, Beijing 100191, China
| | - Y Sheng
- Department of Chemical Biology, Peking University School of Pharmaceutical Sciences, Beijng 100191, China; Peking University Medical and Health Analysis Center, Beijng 100191, China; Beijing Key Lab of Magnetic Resonance Imaging Device and Technique, Beijing 100191, China
| | - L Liang
- Department of Chemical Biology, Peking University School of Pharmaceutical Sciences, Beijng 100191, China
| | - Y Zhao
- Peking University Medical and Health Analysis Center, Beijng 100191, China; Beijing Key Lab of Magnetic Resonance Imaging Device and Technique, Beijing 100191, China
| | - H Y Li
- Peking University Medical and Health Analysis Center, Beijng 100191, China; Beijing Key Lab of Magnetic Resonance Imaging Device and Technique, Beijing 100191, China
| | - N Bai
- Peking University Medical and Health Analysis Center, Beijng 100191, China; Beijing Key Lab of Magnetic Resonance Imaging Device and Technique, Beijing 100191, China; Jinzhou Medical University of Pharmaceutical Sciences, Jinzhou 121000, Liaoning, China
| | - T Wang
- Department of Chemical Biology, Peking University School of Pharmaceutical Sciences, Beijng 100191, China; Peking University Medical and Health Analysis Center, Beijng 100191, China; Beijing Key Lab of Magnetic Resonance Imaging Device and Technique, Beijing 100191, China
| | - L Yuan
- Department of Chemical Biology, Peking University School of Pharmaceutical Sciences, Beijng 100191, China; Peking University Medical and Health Analysis Center, Beijng 100191, China
| | - H B Han
- Beijing Key Lab of Magnetic Resonance Imaging Device and Technique, Beijing 100191, China; Department of Radiology, Peking University Third Hospital, Beijing 100191, China
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Bai N, Yang LF, An LH, Wang W, Li YQ, Sheng Y, Wang T, Li HK, Yuan L. [Dynamic visual analysis of neutrophils chemotaxis in peritoneal cavity of schizophrenic model in mice]. Beijing Da Xue Xue Bao Yi Xue Ban 2018; 50:226-230. [PMID: 29643519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
OBJECTIVE To compare the differences of neutrophils chemotaxis ability in peritoneal cavity between normal rats and schizopherenic rats with cell dynamic visualization system. METHODS In the study,18 healthy Kunming rats were randomly divided into 3 groups which were control group (n=6), 0.3 mg/kg MK-801 treatment group (n=6), 0.6 mg/kg dizocilpine maleate (MK-801) treatment group(n=6), extracted neutrophils separately, and observed the morphology and counted under a microscope. Each group of cells was divided into two parts for chemotactic experiment, called chemokine agent treatment group and no chemokine agent treatment group respectively, indicating control 1, 0.3 mg/kg MK-801 treatment 1,0.6 mg/kg MK-801 treatment 1 and control 2, 0.3 mg/kg MK-801 treatment 2,0.6 mg/kg MK-801 treatment 2. The dynamic migration of cells was recorded using the NIS-Elements software, and TAXIScan Analyzer 2 software was used to select 30 cells (n=30) in each group of cells and analyze cells migration trajectory, speed and distance, and use pair test and One-Way analysis of variance for statistical analysis. RESULTS The number of neutrophils in control group, 0.3 mg/kg MK-801 treatment group and 0.6 mg/kg MK-801 treatment group were(1.00±0.03)×104/mL,(0.05±0.02)×104/mL,(0.32±0.01)×104/mL respectively, the differences of results were statistically significant(P<0.05).Under the effect of chemotactic agent,the directional migration capability of neutrophils in control group 1, 0.3 mg/kg MK-801 treatment group 1 and 0.6 mg/kg MK-801 treatment group 1 were(0.85±0.11) radian,(1.00±0.11) radian,(0.96±0.10) radian respectively (P<0.05); the migration velocities of neutrophils were (0.09±0.02) μm/s,(0.12±0.01) μm/s,(0.14±0.01) μm/s respectively (P<0.05);the migration distances of neutrophils were (94.26±0.02) μm,(134.61±0.01) μm,(156.19±0.01) μm respectively(P<0.05). CONCLUSION Compared with neutrophils in peritoneal cavity of control group, the neutrophils in peritoneal cavity of schizophrenic rats have stronger chemotactic movement ability.
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Affiliation(s)
- N Bai
- Department of Pharmceutical,Jinzhou Medical University, Jinzhou 121000, Liaoning, China;Peking University Medical and Health Analysis Center,Beijing 100191,China
| | - L F Yang
- Peking University Medical and Health Analysis Center,Beijing 100191,China;Department of Chemical Biology,Peking University School of Parmaceutical Sciences,Beijing 100191,China
| | - L H An
- Peking University Medical and Health Analysis Center,Beijing 100191,China
| | - W Wang
- Peking University Medical and Health Analysis Center,Beijing 100191,China
| | - Y Q Li
- Peking University Medical and Health Analysis Center,Beijing 100191,China;Department of Chemical Biology,Peking University School of Parmaceutical Sciences,Beijing 100191,China
| | - Y Sheng
- Peking University Medical and Health Analysis Center,Beijing 100191,China;Department of Chemical Biology,Peking University School of Parmaceutical Sciences,Beijing 100191,China
| | - T Wang
- Peking University Medical and Health Analysis Center,Beijing 100191,China;Department of Chemical Biology,Peking University School of Parmaceutical Sciences,Beijing 100191,China
| | - H K Li
- Department of Basic Science, Jinzhou Medical University, Jinzhou 121000, Liaoning, China
| | - L Yuan
- Peking University Medical and Health Analysis Center,Beijing 100191,China;Department of Chemical Biology,Peking University School of Parmaceutical Sciences,Beijing 100191,China
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Sheng Y, Li T, Yoo S, Yin F, Blitzblau R, Horton J, Palta M, Ge Y, Wu Q. PO-0908: Developing Whole Breast Radiotherapy Automatic-Planning System using Beamlet Feature based Model. Radiother Oncol 2018. [DOI: 10.1016/s0167-8140(18)31218-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Li Y, Liang J, Cheng Y, Zhang Q, Ren X, Sheng Y. Anterosuperior anchoring myringoplasty using cyanoacrylate glue can prevent packing gelfoam in the middle ear cavity. Eur Ann Otorhinolaryngol Head Neck Dis 2018; 135:95-98. [DOI: 10.1016/j.anorl.2017.04.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2016] [Revised: 04/06/2017] [Accepted: 04/12/2017] [Indexed: 11/30/2022]
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Sitek JC, Kulseth MA, Rypdal KB, Skodje T, Sheng Y, Retterstøl L. Whole-exome sequencing for diagnosis of hereditary ichthyosis. J Eur Acad Dermatol Venereol 2018; 32:1022-1027. [PMID: 29444371 DOI: 10.1111/jdv.14870] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Accepted: 01/29/2018] [Indexed: 12/26/2022]
Abstract
BACKGROUND Hereditary ichthyosis constitutes a diverse group of cornification disorders. Identification of the molecular cause facilitates optimal patient care. OBJECTIVE We wanted to estimate the diagnostic yield of applying whole-exome sequencing (WES) in the routine genetic workup of inherited ichthyosis. METHODS During a 3-year-period, all ichthyosis patients, except X-linked and mild vulgar ichthyosis, consecutively admitted to a university hospital clinic were offered WES with subsequent analysis of ichthyosis-related genes as a first-line genetic investigation. Clinical and molecular data have been collected retrospectively. RESULTS Genetic variants causative for the ichthyosis were identified in 27 of 34 investigated patients (79.4%). In all, 31 causative mutations across 13 genes were disclosed, including 12 novel variants. TGM1 was the most frequently mutated gene, accounting for 43.7% of patients suffering from autosomal recessive congenital ichthyosis (ARCI). CONCLUSION Whole-exome sequencing appears an effective tool in disclosing the molecular cause of patients with hereditary ichthyosis seen in clinical practice and should be considered a first-tier genetic test in these patients.
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Affiliation(s)
- J C Sitek
- Department of Dermatology, Oslo University Hospital, Oslo, Norway.,Centre for Rare Disorders, Oslo University Hospital, Oslo, Norway
| | - M A Kulseth
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - K B Rypdal
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - T Skodje
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Y Sheng
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - L Retterstøl
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
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Mero IL, Mørk HH, Sheng Y, Blomhoff A, Opheim GL, Erichsen A, Vigeland MD, Selmer KK. Homozygous KIDINS220 loss-of-function variants in fetuses with cerebral ventriculomegaly and limb contractures. Hum Mol Genet 2018; 26:3792-3796. [PMID: 28934391 DOI: 10.1093/hmg/ddx263] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Accepted: 07/03/2017] [Indexed: 12/30/2022] Open
Abstract
Heterozygous mutations in KIDINS220 were recently suggested a cause of spastic paraplegia, intellectual disability, nystagmus and obesity. All patients carried terminal nonsense de novo mutations that seemed to escape nonsense-mediated mRNA decay. The mechanism for pathogenicity is yet unexplained, as it seems that heterozygous loss-of-function variants of KIDINS220 are generally well tolerated. We present a consanguineous couple who experienced four pregnancy terminations due to repeated findings in the fetuses comprising enlarged cerebral ventricles and limb contractures. Exome sequencing in two of the aborted fetuses revealed a shared homozygous frameshift variant in exon 24 in KIDINS220. Sanger sequencing of the variant in available family members showed complete segregation with the affection status, resulting in a LOD score of 2.5 under an autozygous inheritance model. mRNA studies revealed destruction of the original splice site, resulting in an out-of-frame transcript and introduction of a premature termination codon in exon 25. Premature termination codons in this position are likely to cause activation of nonsense-mediated mRNA decay and result in complete absence of KIDINS220 protein in individuals homozygous for the variant. The phenotype of the presented fetuses overlaps with findings in functional studies of knockout Kidins220 mice embryos that are non-viable with enlarged cerebral ventricles. The human fetuses also exhibit several similarities to the milder phenotype described in patients with heterozygous KIDINS220 mutations. We hence propose that the identified homozygous loss-of-function variant in KIDINS220 causes the phenotype in the presented fetuses, and that this represents a hitherto undescribed severe autosomal recessive neurodevelopmental disorder.
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Affiliation(s)
- I-L Mero
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - H H Mørk
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Y Sheng
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.,Department of Medical Genetics, University of Oslo, Oslo, Norway
| | - A Blomhoff
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | | | - Aa Erichsen
- Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - M D Vigeland
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.,Department of Medical Genetics, University of Oslo, Oslo, Norway
| | - K K Selmer
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.,Department of Medical Genetics, University of Oslo, Oslo, Norway
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