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Huang Y, Zhang N, Ge Z, Lv C, Zhu L, Ding C, Liu C, Peng P, Wu T, Wang Y. Determining soil conservation strategies: Ecological risk thresholds of arsenic and the influence of soil properties. Eco Environ Health 2024; 3:238-246. [PMID: 38693960 PMCID: PMC11061221 DOI: 10.1016/j.eehl.2024.02.007] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/18/2024] [Accepted: 02/03/2024] [Indexed: 05/03/2024]
Abstract
The establishment of ecological risk thresholds for arsenic (As) plays a pivotal role in developing soil conservation strategies. However, despite many studies regarding the toxicological profile of As, such thresholds varying by diverse soil properties have rarely been established. This study aims to address this gap by compiling and critically examining an extensive dataset of As toxicity data sourced from existing literature. Furthermore, to augment the existing information, experimental studies on As toxicity focusing on barley-root elongation were carried out across various soil types. The As concentrations varied from 12.01 to 437.25 mg/kg for the effective concentrations that inhibited 10% of barley-root growth (EC10). The present study applied a machine-learning approach to investigate the complex associations between the toxicity thresholds of As and diverse soil properties. The results revealed that Mn-/Fe-ox and clay content emerged as the most influential factors in predicting the EC10 contribution. Additionally, by using a species sensitivity distribution model and toxicity data from 21 different species, the hazardous concentration for x% of species (HCx) was calculated for four representative soil scenarios. The HC5 values for acidic, neutral, alkaline, and alkaline calcareous soils were 80, 47, 40, and 28 mg/kg, respectively. This study establishes an evidence-based methodology for deriving soil-specific guidance concerning As toxicity thresholds.
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Affiliation(s)
- Yihang Huang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
| | - Naichi Zhang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zixuan Ge
- College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225009, China
| | - Chen Lv
- College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225009, China
| | - Linfang Zhu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Changfeng Ding
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Cun Liu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Peiqin Peng
- College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China
| | - Tongliang Wu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
| | - Yujun Wang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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Peng J, Liu Y, Jiang D, Wang X, Peng P, He SM, Zhang W, Zhou F. Deep Learning and GAN-Synthesis for Auto-Segmentation of Pancreatic Cancer by Non-Enhanced CT for Adaptive Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e499-e500. [PMID: 37785569 DOI: 10.1016/j.ijrobp.2023.06.1742] [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) In conventional adaptive radiotherapy (ART) for pancreatic cancer, contrast-enhanced CT (CECT) helps to more precisely delineate primary gross tumor volume (GTV) than non-enhanced CT (NECT). However, frequent use of contrast medium can damage kidneys and prolong treatment time. Moreover, traditional manual delineation is labor-intensive and highly dependent on the experience of oncologists. Currently, automatic delineation based on deep learning with Generative Adversarial Networks (GAN)-based CT synthesis is one of the most feasible solutions to these problems. MATERIALS/METHODS A dataset of 35 pancreatic cancer patients was retrospectively collected from May 2021 to December 2022. All patients consist of a pair of NECT and CECT. We designed and developed an automatic delineation framework (Proposed) for GTV of pancreatic cancer based on Trans-cycleGAN and a modified 3D U-Net. TranscycleGAN can not only synthesize CECT from NECT, but can also augment the amount of CT images; then all real and synthesized CT images were used to train the modified 3D U-Net for automatic delineation of GTV; finally, our framework was able to automatically delineate GTV by NECT, but not only by CECT. Our framework was evaluated by dice similarity coefficient (DSC), 95% Harsdorff distance (95HD) and average surface distance (ASD) with oncologists' manual delineation ("gold standard"). RESULTS The evaluation results were summarized in Table 1. The proposed framework achieved the best automatic delineation results by NECT, which was superior to that of CECT: 0.917 & 0.903 of DSC, 2.498mm & 3.029mm of HD95, 0.481mm & 0.534mm of ASD, p < 0.05 for DSC and HD95. Specifically, it is significantly superior to the automatic delineation results using U-Net by CECT 0.917 & 0.818 of DSC, 2.498mm & 13.228mm of HD95, 0.481mm & 3.633mm of ASD, p < 0.05 for DSC. CONCLUSION We proposed an automatic delineation framework for contouring GTV in ART of pancreatic cancer based on deep learning and Trans-cycleGAN network. This framework could automatically delineate GTV and achieve better performance with NECT compared to CECT. Our method could not only reduce the use of contrast medium, but also increase the precision and effectiveness of tumor delineation, which could have a positive impact on precision radiotherapy.
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Affiliation(s)
- J Peng
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Y Liu
- United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China
| | - D Jiang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - X Wang
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - P Peng
- United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China
| | - S M He
- United Imaging Research Institute of Intelligent Imaging, Beijing, China
| | - W Zhang
- Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China
| | - F Zhou
- Department of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behaviors, Hubei Cancer Clinical Study Center, Zhongnan Hospital of Wuhan University, Wuhan, China
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Li M, Ao Y, Peng P, Bahmani H, Han L, Zhou Z, Li Q. Resource allocation of rural institutional elderly care in China's new era: spatial-temporal differences and adaptation development. Public Health 2023; 223:7-14. [PMID: 37572563 DOI: 10.1016/j.puhe.2023.07.005] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 06/28/2023] [Accepted: 07/04/2023] [Indexed: 08/14/2023]
Abstract
OBJECTIVES In the new era of China, to ensure that rural residents can get the corresponding institutional elderly services equally, it is necessary to investigate the current situation of resource allocation of rural institutional elderly care and make corresponding adaptation suggestions. STUDY DESIGN This research discusses the characteristics and evolution pattern of rural aging, the resource allocation of rural elderly care institutions, and the adaptation degree of rural institutional elderly care resource and aging. METHODS The research methodology consists of the following stages: entropy-based Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), kernel density estimation, coupling coordination, spatial autocorrelation, and Theil index decomposition. RESULTS The degree of aging in rural areas of China is rising, and the whole population has entered a moderate aging society, showing the spatial characteristics of 'high in the east and low in the west'. The resource allocation of rural institutional elderly care in China is at a low level, and the absolute differences among provinces tend to reduce over time, and the overall resource allocation level tends to decline. The provinces that were in the mismatched adaptation relationship in the early stage have improved; however, the number of provinces with mismatched adaptability has continued to increase. The local spatial autocorrelation of resource adaptation verifies that the middle and lower reaches of the Yangtze River as the core form a hot spot, and during the observation period, the spatial agglomeration effect of the core is strengthened. The Theil index decomposition of resource adaptation indicates that the within-group differences between the eastern and western regions is significantly higher than that between the northeastern and central regions. CONCLUSIONS First, special attention should be paid to preventing the resource allocation of rural institutional elderly care in the eastern and western regions from falling again. Second, to avoid more and more low-adapted provinces falling into the 'mismatch dilemma' with the deepening of the aging degree. Third, strengthen cooperation among regions and promote the coordinated development of resource allocation of institutional elderly care in various regions. Fourth, the priority of institutional elderly care balanced development should be given to the eastern region and western region, thus weakening the overall difference.
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Affiliation(s)
- M Li
- College of Management Science, Chengdu University of Technology, Chengdu 610059, China
| | - Y Ao
- College of Management Science, Chengdu University of Technology, Chengdu 610059, China; College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China.
| | - P Peng
- College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China
| | - H Bahmani
- College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610059, China
| | - L Han
- School of Civil Engineering, Hexi University, Zhangye, 734000, China
| | - Z Zhou
- College of Management Science, Chengdu University of Technology, Chengdu 610059, China
| | - Q Li
- School of Continuing Education, Southwest University, Chongqing 400000, China
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Lin L, Peng P, Zhou GQ, Huang SM, Hu J, Liu Y, He SM, Sun Y, Zhang W. Deep Learning-Based Synthesis of Contrast-Enhanced MRI for Automated Delineation of Primary Gross Tumor Volume in Radiotherapy of Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2023; 117:e475. [PMID: 37785507 DOI: 10.1016/j.ijrobp.2023.06.1687] [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) Contrast-enhanced MRIs are necessary to delineate the primary gross tumor volume (GTVp) in radiotherapy of nasopharyngeal carcinoma (NPC). However, using contrast agents to scan contrast-enhanced MRIs is not applicable to some patients due to metal implants or their allergy, and it increases the treatment cost of patients. To address these problems, this work aims at synthesizing contrast-enhance MRIs from unenhanced MRIs by implementing generative adversarial network (GAN). MATERIALS/METHODS In this work, 324 MRI datasets of patients with NPC were retrospectively collected between September 2016 and September 2017 from a single institute. MRI examinations were performed with un-enhanced T1-weighted (T1) and T2-weighted (T2) sequences, and contrast-enhanced T1-weighted (T1C) and fat-suppressed T1-weighted (T1FSC) sequences. We designed and developed a modified pix2pix network to synthesize T1C (sT1C) and T1FSC (sT1FSC) from real T1. The end of the generator in this network was assembled with multiple heads (the classification head and gradient head) to learn more representation information and features from real images, the discriminator in this network distinguished whether the synthesized image is real and fake and supervised that the generator outputs more realistic synthesized image. We verified the performance of the synthesized images for automated delineation of GTVp. In an independent testing set of 11 patients, the synthesized sT1C and sT1FSC were inputted into the segmentation deep learning network along with their corresponding T1 and T2 sequences to generate GTVp contours. Delineation performance of the synthesized images and real images for automated delineation were evaluated by dice similarity coefficient (DSC), and average surface distance (ASD), using human expert contours as the ground truth. RESULTS In automated contouring of GTVp for NPC, the segmentation deep learning network using one or two synthesized MRIs showed equivalent performance when compared with the automated contours which generated from four real MRI sequences. Mean DSCs between automated contours by sT1C-replaced or sT1C and sT1FSC-replaced network and ground truth contours were 0.726 ± 0.143 and 0.711 ± 0.157, respectively, slightly inferior to that of contours generated from four real MRI sequences (0.740 ± 0.154, both P >0.05). In terms of mean ASD, there was also no significant difference between automated contours generated from synthesized images and real images (3.056 ± 4.216 mm and 3.537 ± 4.793 mm vs. 3.124 ± 4.637 mm; both P > 0.05). CONCLUSION We proposed an MRI-synthesis method based on GAN and the synthesized contrast-enhanced MRIs performed equivalent as the real contrast-enhanced MRIs in the automated delineation of gross tumor volume for radiotherapy of NPC.
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Affiliation(s)
- L Lin
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, 510060, China, Guangzhou, China
| | - P Peng
- United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China
| | - G Q Zhou
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, 510060, China, Guangzhou, China
| | - S M Huang
- Sun Yat-sen University Cancer Center, Guangzhou, China
| | - J Hu
- Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Y Liu
- United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China
| | - S M He
- United Imaging Research Institute of Intelligent Imaging, Beijing, China
| | - Y Sun
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, 510060, China, Guangzhou, China
| | - W Zhang
- Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China
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Yang S, Peng P, Chen J. [Re-discussion on the comprehensive treatment strategy of complex ventral hernia from the perspective of intraperitoneal pressure]. Zhonghua Wai Ke Za Zhi 2023; 61:451-455. [PMID: 37088475 DOI: 10.3760/cma.j.cn112139-20230105-00006] [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: 04/25/2023]
Abstract
Complex ventral hernia refers to a large hernia that is complicated by a series of concurrent conditions. Change in intra-abdominal pressure is one of the main pathways through which various factors exert an impact on perioperative risk and postoperative recurrence. Taking abdominal pressure reconstruction as the core, the treatment strategy for complex abdominal hernia can be formulated from three aspects: improving patients' tolerance, expanding abdominal cavity volume, and reducing the volume of abdominal contents. Improving patients' tolerance includes abdominal wall compliance training and progressive preoperative pneumoperitoneum. To expand the volume of the abdominal cavity, implanting hernia repair materials, component separation technique, autologous tissue transplantation, component expend technique, and chemical component separation can be used. Initiative content reduction surgery and temporary abdominal closure may be performed to reduce the volume of abdominal contents. For different cases of complex ventral hernia, personalized treatment measures can be safely and feasibly adopted depending on the condition of the patients and the intra-abdominal pressure situation.
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Affiliation(s)
- S Yang
- Department of Hernia and Abdominal Wall Surgery, Peking University Peoples' Hospital, Beijing 100044, China
| | - P Peng
- Department of Hernia and Abdominal Wall Surgery, Peking University Peoples' Hospital, Beijing 100044, China
| | - J Chen
- Department of Hernia and Abdominal Wall Surgery, Peking University Peoples' Hospital, Beijing 100044, China
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Peng P, Ji YQ, Zhao NH, Liu T, Wang H, Yao J. [Evaluation of peripheral blood T-lymphocyte subpopulations features in patients with hepatitis B virus-related acute-on-chronic liver failure based on single-cell sequencing technology]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:422-427. [PMID: 37248982 DOI: 10.3760/cma.j.cn501113-20220205-00056] [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] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Objective: T lymphocyte exhaustion is an important component of immune dysfunction. Therefore, exploring peripheral blood-exhausted T lymphocyte features in patients with hepatitis B virus-related acute-on-chronic liver failure may provide potential therapeutic target molecules for ACLF immune dysfunction. Methods: Six cases with HBV-ACLF and three healthy controls were selected for T-cell heterogeneity detection using the single-cell RNA sequencing method. In addition, exhausted T lymphocyte subpopulations were screened to analyze their gene expression features, and their developmental trajectories quasi-timing. An independent sample t-test was used to compare the samples between the two groups. Results: Peripheral blood T lymphocytes in HBV-ACLF patients had different differentiation trajectories with different features distinct into eight subpopulations. Among them, the CD4(+)TIGIT(+) subsets (P = 0.007) and CD8(+)LAG3(+) (P = 0.010) subsets with highly exhausted genes were significantly higher than those in healthy controls. Quasi-time analysis showed that CD4(+)TIGIT(+) and CD8(+)LAG3(+) subsets appeared in the late stage of T lymphocyte differentiation, suggesting the transition of T lymphocyte from naïve-effector-exhausted during ACLF pathogenesis. Conclusion: There is heterogeneity in peripheral blood T lymphocyte differentiation in patients with HBV-ACLF, and the number of exhausted T cells featured by CD4(+)TIGIT(+)T cell and CD8(+)LAG3(+) T cell subsets increases significantly, suggesting that T lymphocyte immune exhaustion is involved in the immune dysfunction of HBV-ACLF, thereby identifying potential effective target molecules for improving ACLF patients' immune function.
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Affiliation(s)
- P Peng
- Department of Gastroenterology, Shanxi Provincial People's Hospital, Taiyuan 030031, China
| | - Y Q Ji
- Department of Biochemistry and Molecular Biology, Basic Medical College, Shanxi Medical University, Taiyuan 030000, China
| | - N H Zhao
- Department of Gastroenterology, Shanxi Bethune Hospital, Taiyuan 030032, China
| | - T Liu
- Department of Gastroenterology, Shanxi Bethune Hospital, Taiyuan 030032, China
| | - H Wang
- Department of Gastroenterology, Shanxi Bethune Hospital, Taiyuan 030032, China
| | - J Yao
- Department of Gastroenterology, Shanxi Bethune Hospital, Taiyuan 030032, China
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Qin J, Wang J, Long J, Huang J, Tang S, Hou H, Peng P. Recycling of heavy metals and modification of biochar derived from Napier grass using HNO 3. J Environ Manage 2022; 318:115556. [PMID: 35728377 DOI: 10.1016/j.jenvman.2022.115556] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 03/18/2022] [Revised: 06/09/2022] [Accepted: 06/15/2022] [Indexed: 06/15/2023]
Abstract
The disposal of biomass enriched with heavy metals (HMs) limits the application of phytoextraction. This study investigated the feasibility of obtaining K-rich fertilizer with low risk of HMs and biochar with good application prospect by extracting Napier grass biochar using 15% HNO3 and separating HMs from the filtrate using 40% KOH. In this study, Napier grass biochar produced at 500 °C showed better potential for utilization owing to its relatively low HM contents, high nutrient contents, and high yield. In fact, 61.26% Cd, 84.22% Zn, and more K were extracted from biochar when the pH was adjusted to 1 using 15% HNO3. Then, Cd and Zn could be almost separated from the filtrate by adjusting the pH to 10 or more by adding 40% KOH. The Cd content in the biochar was reduced from a low risk level to a no-risk level, and the Zn content in the biochar was reduced from a medium risk level to a low risk level when the pH was adjusted to 1 and 2 by adding 15% HNO3. The adsorption capacity of biochar to dyes was enhanced when the pH was adjusted to 1 using 15% HNO3. The cation exchange mechanism endows the biochar with better potential for reuse (for methylene blue). This work provides a safe, efficient, and maneuverable resource allocation method.
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Affiliation(s)
- Jianjun Qin
- College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, China; College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China
| | - Jing Wang
- College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, China
| | - Jian Long
- College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, China.
| | - Jing Huang
- College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, China
| | - Shengshuang Tang
- College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, China
| | - Hongbo Hou
- College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, China
| | - Peiqin Peng
- College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, China.
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Wang H, Wu C, Zhang H, Xiao M, Ge T, Zhou Z, Liu Y, Peng S, Peng P, Chen J. Characterization of the belowground microbial community and co-occurrence networks of tobacco plants infected with bacterial wilt disease. World J Microbiol Biotechnol 2022; 38:155. [PMID: 35796795 DOI: 10.1007/s11274-022-03347-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [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: 03/31/2022] [Accepted: 06/23/2022] [Indexed: 11/25/2022]
Abstract
Characterizing the microbial communities associated with soil-borne disease incidence is a key approach in understanding the potential role of microbes in protecting crops from pathogens. In this study, we compared the soil properties and microbial composition of the rhizosphere soil and roots of healthy and bacterial wilt-infected tobacco plants to assess their potential influence on plant health. Our results revealed that the relative abundance of pathogens was higher in diseased plants than in healthy plants. Moreover, compared with healthy plants, there was a significantly higher microbial alpha diversity in the roots and rhizosphere soil of diseased plants. In addition, we detected a lower abundance of certain plant microbiota, including species in the genera Penicillium, Trichoderma, and Burkholderia in the rhizosphere of diseased plants, which were found to be significantly negatively associated with the relative abundance of Ralstonia. Indeed, compared with healthy plants, the co-occurrence networks of diseased plants included a larger number of associations linked to plant health. Furthermore, structural equation modeling revealed that these specific microbes were correlated with disease suppression, thereby implying that they may play important roles in maintaining plant health. In conclusion, our findings provide important insights into the relationships between soil-borne disease incidence and changes in the belowground microbial community. These findings will serve as a basis for further research investigating the use of specific plant-associated genera to inhibit soil-borne diseases.
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Affiliation(s)
- Haiting Wang
- College of Environmental Science and Engineering, Central South University of Forestry and Technology, 498 South Shaoshan Road, Changsha, 410004, Hunan, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China
| | - Chuanfa Wu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China
| | - Haoqing Zhang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China
| | - Mouliang Xiao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China
| | - Tida Ge
- College of Environmental Science and Engineering, Central South University of Forestry and Technology, 498 South Shaoshan Road, Changsha, 410004, Hunan, China
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China
| | - Zhicheng Zhou
- Tobacco Research Institute of Hunan Province, Changsha, 410004, China
| | - Yongjun Liu
- Tobacco Research Institute of Hunan Province, Changsha, 410004, China
| | - Shuguang Peng
- Tobacco Research Institute of Hunan Province, Changsha, 410004, China
| | - Peiqin Peng
- College of Environmental Science and Engineering, Central South University of Forestry and Technology, 498 South Shaoshan Road, Changsha, 410004, Hunan, China.
| | - Jianping Chen
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China.
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Peng P, Wu N, Tao XL, Liu Y, Lyu L, Cheng X. [Pretreatment evaluation of 18F-FDG PET-CT in extranodal NK/T-cell lymphoma]. Zhonghua Zhong Liu Za Zhi 2022; 44:370-376. [PMID: 35448927 DOI: 10.3760/cma.j.cn112152-20200525-00485] [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] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To investigate the clinical value of pretreatment 18F-fluorodeoxy glucose positron emission tomography/computed tomography (18F-FDG PET-CT) in extranodal NK/T-cell lymphoma. Methods: Eighty-one patients with pathologically confirmed extranodal NK/T-cell lymphoma and pretreatment with PET-CT scan in Cancer Hospital, Chinese Academy of Medical Sciences from August 2006 to December 2017 were enrolled in the study. The clinical, follow-up and imaging data were analyzed retrospectively. The relationship between maximum standard uptake value (SUVmax) and prognosis were evaluated by Mann-Whitney U test and Spearman rank correlation analysis. Results: Among the 81 patients, 98.8% (80/81) were upper aerodigestive tract (UAT) involved. Lesions at extra-UAT sites were detected in 7 cases, involving parotid gland (n=1), breast (n=1), spleen (n=1), pancreas (n=1), skin and subcutaneous soft tissue (n=1), muscle (n=1), lung (n=2) and bone (n=3). Lymph node involvement were demonstrated in 33 cases. All of the lesions had increased uptake of PET, the median SUVmax was 8.6. PET-CT changed staging in 15 cases, and 12 cases were adjusted treatment methods. 21 cases were changed radiotherapy target because of PET-CT. The 1-, 2-year progression-free survival (PFS) rates were 88.7% and 80.3% while 1-, 2-year overall survival (OS) rates were 97.2% and 94.4% respectively. The median SUVmax of patients with local lymph nodes involvement was significantly higher than those without local lymph nodes involvement (P=0.007). The SUVmax was positively associated with Ann Arbor stage (r=0.366, P=0.001), lactate dehydrogenase (r=0.308, P=0.005) and Ki-67 level (r=0.270, P=0.017). The SUVmax was inversely associated with lymphocyte count (r=-0.324, P=0.003) and hemoglobin content (r=-0.225, P=0.043). Conclusions: Extranodal NK/T-cell lymphoma predominantly occurs in extra-nodal organs, mainly in the upper respiratory and gastrointestinal tracts, with marked FDG-addiction. Compared with conventional imaging, 18F-FDG PET-CT is sensitive and comprehensive in detecting extra-nodal NK/T-cell lymphoma involvement, assisting in accurate clinical staging and treatment planning. Pretreatment SUVmax is potential for prognosis evaluation since it is correlated with prognostic factors.
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Affiliation(s)
- P Peng
- Department of Nuclear Medicine(PET-CT Center), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Wu
- Department of Nuclear Medicine(PET-CT Center), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X L Tao
- Department of Nuclear Medicine(PET-CT Center), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Liu
- Department of Nuclear Medicine(PET-CT Center), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Lyu
- Department of Nuclear Medicine(PET-CT Center), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X Cheng
- Department of Nuclear Medicine(PET-CT Center), National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Chen JY, Cao DY, Zhou HM, Yu M, Yang JX, Wang JH, Zhang Y, Cheng NH, Peng P. [GnRH-a combined fertility-sparing re-treatment in women with endometrial carcinoma or atypical endomertial hyperplasia who failed to oral progestin therapy]. Zhonghua Fu Chan Ke Za Zhi 2021; 56:569-575. [PMID: 34420288 DOI: 10.3760/cma.j.cn112141-20210603-00298] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the clinical efficacy and pregnancy outcomes of gonadotropin-releasing hormone agonist (GnRH-a) based fertility-sparing re-treatment in women with endometrial carcinoma (EC) and atypical endometrial hyperplasia (AEH) who failed with oral progestin therapy. Methods: Forty cases with EC or AEH who failed to respond to oral progestin were included from January 2012 to December 2020 at Peking Union Medical College Hospital. Combination of GnRH-a with levonorgestrel-releasing intrauterine system (group GLI: a subcutaneous injection of GnRH-a every 4 weeks and LNG-IUS insertion constantly) or the combination of GnRH-a with aromatase inhibitor (group GAI: a subcutaneous injection of GnRH-a every 4 weeks and oral letrozole 2.5 mg, daily) were used for these patients. Histological evaluation were performed at the end of each course (every 3-4 months) by hysteroscopy and curettage. After the complete remission (CR), all patients were followed up regularly. Results: (1) Clinical characteristics:among the 40 patients with EC or AEH, the median age at diagnosis was 31 years (range: 22-40 years) and the median body mass index was 24.7 kg/m2 (range: 18.9-39.5 kg/m2). (2) Efficacy of fertility-sparing re-treatment: 37 (92%, 37/40) patients achieved CR, 6 (6/7) in AEH and 31 (94%, 31/33) in EC patients. The CR rate was 93% (26/28) and 11/12 in group GLI and GAI, respectively. The median time to CR was 5 months (range: 3-12 months). At the end of the first therapy course, the CR rates in AEH and EC were 5/7 and 42% (14/33), at the second course, the CR rates were 6/7 and 82% (27/33), respectively. (3) Recurrence: after 25 months of median follow-up duration (range: 10-75 months), 8 (22%, 8/37) women developed recurrence, 1/6 in AEH and 7 (23%, 7/31) in EC patients, with the median recurrence time of 18 months (range: 9-26 months). Among them, two cases who had completed childbirth chose to receive hysterectomy directly. Six patients met the criteria of fertility-preserving therapy and received conservative treatment again and 5 (5/6) of them achieved CR. (4) Pregnancy: of the 37 patients with CR, 33 desired to conceive. Ten women attempted to get pregnancy spontaneously and 23 cases with assisted reproductive technology. Fourteen (42%, 14/33) patients became pregnant, including 9 (27%, 9/33) live births, 3 (9%, 3/33) missed abortions, and 2 (6%, 2/33) miscarriages at the second trimester. Conclusions: GnRH-a based fertility-sparing re-treatment in AEH or EC patients who failed with oral progestin therapy achieved good treatment effect and reproductive outcomes. It is an encouraging alternative regime for patients who failed with oral progestin therapy.
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Affiliation(s)
- J Y Chen
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - D Y Cao
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - H M Zhou
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - M Yu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - J X Yang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - J H Wang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - Y Zhang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - N H Cheng
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
| | - P Peng
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing 100730, China
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11
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Piha-Paul S, Tsimberidou A, Janku F, Raghav K, Wolff R, Huey R, Peng P, Levin W, Ngo B, Wang H, Sun C, Ru Q, Wu F, Javle M. P-261 Phase I study of multiple kinase inhibitor, TT-00420, in advanced, refractory cholangiocarcinoma. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.05.315] [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] Open
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12
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Peng P, Wang Y, Wang BL, Song YH, Fang Y, Ji H, Huangfu CN, Wang KM, Zheng Q. LncRNA PSMA3-AS1 promotes colorectal cancer cell migration and invasion via regulating miR-4429. Eur Rev Med Pharmacol Sci 2021; 24:11594-11601. [PMID: 33275226 DOI: 10.26355/eurrev_202011_23802] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE Many studies have revealed that long non-coding RNAs (lncRNAs) are related to various cancers, including colorectal cancer (CRC). This study aims to explore the biological function of lncRNA PSMA3-AS1 in CRC progression. MATERIALS AND METHODS The expression levels of PSMA3-AS1 and miR-4429 were assessed by RT-qPCR. CRC progression was explored by cell viability, migration, and invasion using CCK-8 and transwell assays. The interaction between PSMA3-AS1 and miR-4429 was verified by bioinformatics analysis, Dual-Luciferase assay, and RIP assay. RESULTS It was found that PSMA3-AS1 expression was increased and miR-4429 expression was decreased in CRC tissues and cells. In addition, PSMA3-AS1 interference markedly hindered the proliferation, migration, and invasion of CRC cells. MiR-4429 was a direct target of PSMA3-AS1, and the knockdown of PSMA3-AS1 significantly suppressed miR-4429 expression. The depletion of PSMA3-AS1 inhibited CRC progression, which was neutralized by miR-4429 inhibitor. CONCLUSIONS PSMA3-AS1 accelerated CRC progression by regulating miR-4429 expression, which could be used as a potential therapeutic target for CRC patients.
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Affiliation(s)
- P Peng
- The Second Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu, China.
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13
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Sieffien W, Peng P, Dinsmore M. Spinal myoclonus following spinal anaesthesia in a patient with restless legs syndrome. Anaesth Rep 2021; 9:73-75. [PMID: 33898996 DOI: 10.1002/anr3.12113] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/29/2021] [Indexed: 12/16/2022] Open
Abstract
Myoclonus is defined as involuntary muscle contractions that are self-limiting. The presentation can be diverse, and severe movements may cause significant alarm to both patient and practitioner, with the potential for inappropriate management. Although rare, myoclonus has been associated with intrathecal anaesthetics; however, the exact aetiology remains unclear. In this report, we present a case of delayed spinal myoclonus following the administration of intrathecal bupivacaine to a patient with a known history of restless legs syndrome. The aim of this report is to increase awareness of this rare complication and to contribute to the current body of literature in order that the pathophysiology and potential risk factors may be better understood.
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Affiliation(s)
- W Sieffien
- Faculty of Medicine University of Toronto Toronto ON Canada
| | - P Peng
- Department of Anaesthesia and Pain Medicine Toronto Western Hospital University Health Network Toronto ON Canada.,Department of Anaesthesia and Pain Medicine University of Toronto Toronto ON Canada
| | - M Dinsmore
- Department of Anaesthesia and Pain Medicine Toronto Western Hospital University Health Network Toronto ON Canada.,Department of Anaesthesia and Pain Medicine University of Toronto Toronto ON Canada
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14
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Peng P, Zhang M, Zeraatkar N, Qi J, Cherry S. Tomographic imaging with Compton PET modules: ideal case and first implementation. J Instrum 2021; 16:T04007. [PMID: 34422087 PMCID: PMC8372193 DOI: 10.1088/1748-0221/16/04/t04007] [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] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
In our previous studies, we demonstrated that the Compton PET module, a layer structure PET detector with side readout, can provide high performance in terms of spatial/energy/timing resolution, as well as high gamma ray detection efficiency. In this study, we investigate how to translate the high performance of the detector module into good quality reconstructed tomographic images. This study is performed using GATE simulation, as well as with physical experiments. Similar detector geometry is used in the simulation and experiment: two identical 4-layer detector modules are placed with face to face distance of 56 mm. In the simulation study, each layer consists of a 1-mm-pitch pixelated crystal array. In the experimental study, each layer is a monolithic crystal, which is virtually binned into 1 mm2 cells to group single events according to the gamma ray interaction locations. A customized Derenzo phantom was placed between the two detector modules. By rotating the phantom using a motorized rotary stage, data along lines of response (LORs) at different angles were collected for reconstructing the tomographic image. The same reconstruction algorithm was used for both simulation and experimental studies. The results demonstrate that the simulation study could resolve 0.8 mm rods while the experimental study was able to resolve 1.0 mm rods.
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Affiliation(s)
- P. Peng
- Department of Biomedical Engineering, University of California-Davis One Shields Avenue, Davis, CA 95616, USA
| | - M. Zhang
- Department of Biomedical Engineering, University of California-Davis One Shields Avenue, Davis, CA 95616, USA
| | - N. Zeraatkar
- Department of Biomedical Engineering, University of California-Davis One Shields Avenue, Davis, CA 95616, USA
| | - J. Qi
- Department of Biomedical Engineering, University of California-Davis One Shields Avenue, Davis, CA 95616, USA
| | - S.R. Cherry
- Department of Biomedical Engineering, University of California-Davis One Shields Avenue, Davis, CA 95616, USA
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15
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Liu C, Hao D, Li Y, Ding J, Yao W, Yu Z, Ma X, Peng P. Repair of facial scars using free and pedicle-expanded deltopectoral flaps. Br J Oral Maxillofac Surg 2021; 59:710-715. [PMID: 34020810 DOI: 10.1016/j.bjoms.2020.12.022] [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: 11/03/2020] [Accepted: 12/31/2020] [Indexed: 10/22/2022]
Abstract
This study aimed to evaluate the effectiveness and long-term outcomes of free and pedicled, expanded deltopectoral flaps with perforation of the internal thoracic artery to repair facial scars. This retrospective review was of 37 patients who presented between June 2013 and June 2019 with various types of facial scar. Ten patients received a free expanded deltopectoral flap and 27 a pedicled, expanded deltopectoral flap. During the stage-one operation, the expander was implanted into the deltopectoral area and fully expanded by normal saline injection. In stage two, the facial lesions were incised, and the free or pedicled flap transferred to reconstruct the defect. Flap necrosis did not occur in the 10 patients treated with free flaps. Two patients need to have the pedicle trimmed three months after surgery because it had become bloated. Distal necrosis occurred in five of 27 patients who received a pedicled, expanded deltopectoral flap. Healing by conservative treatment was noted in two cases and healing after skin grafting was documented in the other three. All 37 patients achieved satisfactory results. A pedicled, expanded deltopectoral flap appears to be a reliable and safe option for the treatment of facial scars.
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Affiliation(s)
- C Liu
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province 710032, China
| | - D Hao
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province 710032, China
| | - Y Li
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province 710032, China
| | - J Ding
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province 710032, China
| | - W Yao
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province 710032, China
| | - Z Yu
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province 710032, China
| | - X Ma
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province 710032, China.
| | - P Peng
- Department of Plastic and Reconstructive Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province 710032, China.
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Zhang L, Zhu F, Xie L, Wang C, Wang J, Chen R, Jia P, Guan HQ, Peng L, Peng P, Zhang P, Chu Q, Shen Q, Wang Y, Xu SY, Zhao JP, Zhou M, Chen Y. Abstract CT401: The experience of treating patients with cancer during the COVID-19 pandemic in China. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-ct401] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Cancer patients are regarded as highly vulnerable group in the current SARS-CoV-2/COVID-19 pandemic. Up to date, the clinical characteristics of cancer patients with COVID-19 are largely unknown.
Patients and methods: In this retrospective cohort study, we collected and analyzed data of the cancer patients with y confirmed COVID-19 infection from three designated hospitals in Wuhan, China from Jan 13, 2020, to Feb 26, 2020. Univariate and multivariate analyses were performed to assess the risk factors associated with severe events defined as a condition that admission to an intensive care unit, the use of mechanical ventilation, or death. We also followed 124 cancer patients with immune checkpoint inhibitors (ICI) and their families for their infection rate and clinical outcome.
Results: Twenty-eight COVID-19 infected cancer patients were included with median age of 65.0 years (IQR:56.0-70.0) and male gender of 60.7% (17/28). Amount of these 28 patients, 7 (25%) had lung cancer, and 8 (28.6%) were considered to be infected via hospital-associated transmission. Fifteen (53.6%) patients had severe events with the mortality rate of 28.6%. The last anti-tumor treatment within 14 days from the diagnoses of COVID significant increased risk of developing severe events (HR=4.079, 95%CI 1.086-15.322, P=0.037). The common chest CT findings were ground-glass opacity (21, 75.0%) and patchy consolidation (13, 46.3%). The patchy consolidation on CT had a higher risk for developing severe events (HR=5.438, 95%CI 1.498-19.748, P=0.010). There was only one patient (1/124, 0.8%) who have been on ICI treatment for his metastatic HCC confirmed with COVID infection, and with mild clinic presentation and a short hospital course.
Conclusions: Cancer patients showed aggressive presentation and poor outcomes with the COVID-19 infection. It is recommended that vigorous screening for COVID-19 infection should be performed for cancer patients with anti-tumor. From our limited data, there is no evidence to suggest difference in cancer patients on ICI treatment.
Citation Format: Li Zhang, F Zhu, L Xie, C Wang, J Wang, R Chen, P Jia, H Q. Guan, L Peng, P Peng, P Zhang, Q Chu, Q Shen, Y Wang, S Y. Xu, J P. Zhao, M Zhou, Y Chen. The experience of treating patients with cancer during the COVID-19 pandemic in China [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr CT401.
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Affiliation(s)
- Li Zhang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - F Zhu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - L Xie
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - C Wang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - J Wang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - R Chen
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - P Jia
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - H Q. Guan
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - L Peng
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - P Peng
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - P Zhang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Q Chu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Q Shen
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Y Wang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - S Y. Xu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - J P. Zhao
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - M Zhou
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Y Chen
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Zhu Q, Zhang W, Wang Q, Liu JH, Wu CH, Luo T, Peng P. [Clinical characteristics and outcome of 64 patients with severe COVID-19]. Zhonghua Jie He He Hu Xi Za Zhi 2020; 43:659-664. [PMID: 32727177 DOI: 10.3760/cma.j.cn112147-20200308-00275] [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] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the causes of death in patients with severe COVID-19. Methods: A retrospective analysis was performed on 64 patients with severe COVID-19 admitted to Wuhan Pulmonary Hospital from January 12, 2020 to February 28, 2020. There were 36 males and 28 females, aging from 44 to 85 years[median 68 (62, 72)]. Fifty-two patients (81%) had underlying comorbidities. The patients were divided into the death group (n=40) and the survival group (n=24) according to the treatment outcomes. In the death group, 24 were male, and 16 were female, aging from 49 to 85 years [median 69 (62, 72)], with 31 cases (78%) complicated with underlying diseases. In the survival group, there were 12 males and 12 females, aging from 44 to 82 years[median 66 (61,73)], with 21 cases (88%) with comorbidities. Clinical data of the two groups were collected and compared, including general information, laboratory examinations, imaging features and treatments. For normally distributed data, independent group t test was used; otherwise, Mann Whitney test was used to compare the variables. χ(2) test and Fisher exact test was used when analyzing categorical variables. Results: The median of creatine kinase isozyme (CK-MB) in the death group was 19.0 (17.0,23.0) U/L, which was higher than that in the survival group 16.5 (13.5,19.6) U/L. The median level of cTnI in the death group was 0.03 (0.03, 0.07) μg/L, which was significantly higher than that in the survival group (0.02, 0.03) μg/L, with a statistically significant difference between the two groups (P=0.007). The concentration of myoglobin in the death group was 79.5 (28.7, 189.0) μg/L, which was higher than 33.1 (25.7, 54.5) μg/L in the survival group. The level of D-dimer in the death group was 2.0 (0.6, 5.2) mg/L, which was higher than 0.7 (0.4, 2.0) mg/L in the survival group. The LDH level of the death group was 465.0 (337.5,606.5) U/L, which was higher than that of the survibal group, 341.0 (284.0,430.0) U/L, the difference being statistically significant (P=0.006). The concentration of alanine aminotransferase in the death group was 40.0 (30.0, 48.0) U/L, which was higher than 32.5 (24.0, 40.8) U/L in the survival group, and the difference was statistically significant (P=0.047).Abnormal ECG was found in 16 cases (62%) in the death group, which was significantly higher than that in the survival group (29%), the difference being statistically significant (P=0.024) .The main causes of death were severe pneumonia with acute respiratory distress syndrome (ARDS, n=20), acute heart failure(n=9), atrial fibrillation(n=3) and multiple organ dysfunction syndrome (MODS, n=3). Conclusions: ARDS caused by severe pneumonia and acute heart failure and atrial fibrillation caused by acute viral myocarditis were the main causes of death in severe COVID-19 patients. Early prevention of myocardial injury and treatment of acute viral myocarditis complicated with disease progression may provide insights into treatment and reduction of mortality in patients with severe COVID-19.
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Affiliation(s)
- Q Zhu
- Department of Tuberculosis, Wuhan Pulmonary Hospital, Wuhan 430030, China
| | - W Zhang
- Department of Tuberculosis, Wuhan Pulmonary Hospital, Wuhan 430030, China
| | - Q Wang
- Department of Tuberculosis, Wuhan Pulmonary Hospital, Wuhan 430030, China
| | - J H Liu
- Department of Tuberculosis, Wuhan Pulmonary Hospital, Wuhan 430030, China
| | - C H Wu
- Department of Tuberculosis, Wuhan Pulmonary Hospital, Wuhan 430030, China
| | - T Luo
- Department of Tuberculosis, Wuhan Pulmonary Hospital, Wuhan 430030, China
| | - P Peng
- Department of Tuberculosis, Wuhan Pulmonary Hospital, Wuhan 430030, China
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Zhang J, Peng P, Li X, Zha YF, Xiang Y, Zhang GN, Zhang Y. [Management strategies for three patients with gynecological malignancies during the outbreak of COVID-19]. Zhonghua Fu Chan Ke Za Zhi 2020; 55:221-226. [PMID: 32174096 DOI: 10.3760/cma.j.cn112141-20200302-00168] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [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 explore the management strategies for patients with gynecological malignant tumors during the outbreak and transmission of COVID-19. Methods: We retrospectively analyzed the clinical characteristics, treatment, and disease outcomes of three patients with gynecological malignancies associated with COVID-19 in Renmin Hospital of Wuhan University, and proposed management strategies for patients with gynecological tumors underriskof COVID-19. Results: Based on the national diagnosis and treatment protocol as well as research progress for COVID-19, three patients with COVID-19 were treated. Meanwhile, they were also appropriately adjusted the treatment plan in accordance with the clinical guidelines for gynecological tumors. Pneumonia was cured in 2 patients, and one patient died of COVID-19. Conclusions: Patients with gynecological malignant tumors are high-risk groups prone to COVID-19, and gynecological oncologists need to carry out education, prevention, control and treatment according to specific conditions. While, actively preventing and controlling COVID-19, the diagnosis and treatment of gynecological malignant tumors should be carried out in an orderly and safe manner.
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Affiliation(s)
- J Zhang
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - P Peng
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - X Li
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Y F Zha
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Y Xiang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - G N Zhang
- Department of Gynecologic Oncology, Sichuan Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610041, China
| | - Y Zhang
- Department of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan 430060, China
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Zhang L, Zhu F, Xie L, Wang C, Wang J, Chen R, Jia P, Guan HQ, Peng L, Chen Y, Peng P, Zhang P, Chu Q, Shen Q, Wang Y, Xu SY, Zhao JP, Zhou M. Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China. Ann Oncol 2020; 31:894-901. [PMID: 32224151 PMCID: PMC7270947 DOI: 10.1016/j.annonc.2020.03.296] [Citation(s) in RCA: 980] [Impact Index Per Article: 245.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 03/22/2020] [Accepted: 03/23/2020] [Indexed: 02/06/2023] Open
Abstract
Background Cancer patients are regarded as a highly vulnerable group in the current Coronavirus Disease 2019 (COVID-19) pandemic. To date, the clinical characteristics of COVID-19-infected cancer patients remain largely unknown. Patients and methods In this retrospective cohort study, we included cancer patients with laboratory-confirmed COVID-19 from three designated hospitals in Wuhan, China. Clinical data were collected from medical records from 13 January 2020 to 26 February 2020. Univariate and multivariate analyses were carried out to assess the risk factors associated with severe events defined as a condition requiring admission to an intensive care unit, the use of mechanical ventilation, or death. Results A total of 28 COVID-19-infected cancer patients were included; 17 (60.7%) patients were male. Median (interquartile range) age was 65.0 (56.0–70.0) years. Lung cancer was the most frequent cancer type (n = 7; 25.0%). Eight (28.6%) patients were suspected to have hospital-associated transmission. The following clinical features were shown in our cohort: fever (n = 23, 82.1%), dry cough (n = 22, 81%), and dyspnoea (n = 14, 50.0%), along with lymphopaenia (n = 23, 82.1%), high level of high-sensitivity C-reactive protein (n = 23, 82.1%), anaemia (n = 21, 75.0%), and hypoproteinaemia (n = 25, 89.3%). The common chest computed tomography (CT) findings were ground-glass opacity (n = 21, 75.0%) and patchy consolidation (n = 13, 46.3%). A total of 15 (53.6%) patients had severe events and the mortality rate was 28.6%. If the last antitumour treatment was within 14 days, it significantly increased the risk of developing severe events [hazard ratio (HR) = 4.079, 95% confidence interval (CI) 1.086–15.322, P = 0.037]. Furthermore, patchy consolidation on CT on admission was associated with a higher risk of developing severe events (HR = 5.438, 95% CI 1.498–19.748, P = 0.010). Conclusions Cancer patients show deteriorating conditions and poor outcomes from the COVID-19 infection. It is recommended that cancer patients receiving antitumour treatments should have vigorous screening for COVID-19 infection and should avoid treatments causing immunosuppression or have their dosages decreased in case of COVID-19 coinfection.
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Affiliation(s)
- L Zhang
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - F Zhu
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - L Xie
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - C Wang
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Wang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - R Chen
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - P Jia
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - H Q Guan
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - L Peng
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Y Chen
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - P Peng
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - P Zhang
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Q Chu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Q Shen
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Y Wang
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - S Y Xu
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J P Zhao
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - M Zhou
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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20
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Chen Y, Peng P, Chen Y, Xia S. P2.11-44 A Preliminary Study Investigating the Impact of Platelet on Circulating Tumor Cell Enumeration. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.1744] [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: 10/25/2022]
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21
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Peng P, Chen Y, Han G, Meng R, Zhang S, Liao Z, Zhang Y, Gong J, Xiao C, Liu X, Zhang P, Zhang L, Xia S, Chu Q, Chen Y, Zhang L. MA01.09 Concomitant SBRT and EGFR-TKI Versus EGFR-TKI Alone for Oligometastatic NSCLC: A Multicenter, Randomized Phase II Study. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.499] [Citation(s) in RCA: 4] [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] [Indexed: 11/28/2022]
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22
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Zheng Q, Peng P. Long non-coding RNA Linc00525 is an unfavorable prognostic factor and regulates proliferation and apoptosis in colorectal cancer. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz155.027] [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: 11/14/2022] Open
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23
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Li WZ, Cai FQ, Wu CL, Peng P, Huang JA. [A case report of liver actinomycosis]. Zhonghua Gan Zang Bing Za Zhi 2018; 26:786-787. [PMID: 30481889 DOI: 10.3760/cma.j.issn.1007-3418.2018.10.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Affiliation(s)
- W Z Li
- Department of Gastroenterology, the Second Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
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24
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Wang Y, Peng P, Shang L, Dong YA, Yang Z, Zhong H. Effects of concomitant genetic alterations on cancer patient overall survival. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy269.110] [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: 11/14/2022] Open
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25
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Chung A, Sun J, Li K, Peng P, Apakama D, Genes N, Loo G, Richardson L. 4EMF Resident and Faculty Reactions to Using a Clinical Dashboard to Provide Objective Feedback During Semi-Annual Evaluations. Ann Emerg Med 2018. [DOI: 10.1016/j.annemergmed.2018.08.401] [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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26
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Shen DC, Hou B, Cui B, Li XL, Peng P, Tai HF, Zhang K, Liu SW, Fu HH, Liu MS, Feng F, Cui LY. [Resting-state functional MRI studies of amyotrophic lateral sclerosis patients with various levels of cognitive impairment]. Zhonghua Yi Xue Za Zhi 2018; 98:2002-2006. [PMID: 29996600 DOI: 10.3760/cma.j.issn.0376-2491.2018.25.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [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 characterize the brain functional changes of amyotrophic lateral sclerosis (ALS) patients with various levels of cognitive impairment as measured by resting-state functional MRI (RS-fMRI). Methods: From September 2013 to March 2017, a total of 55 patients diagnosed with ALS in Peking Union Medical College Hospital and 20 healthy controls (HCs) were included in this study, and all participants underwent neuropsychological assessments and diffusion tensor imaging scans. According to their cognitive performance, ALS patients were further subclassified into ALS with normal cognition (ALS-Cn, n=27), those with cognitive impairment (ALS-Ci, n=17) and ALS-FTD (n=11). Comparisons of fractional amplitude of low frequency fluctuation (fALFF) value and regional homogeneity (ReHo) value were conducted among the 4 subgroups. Results: The fALFF showed significant differences in bilateral frontal lobe, left temporal lobe and cingulate gyrus, (P<0.001, uncorrected) and the ReHo showed significant differences in left frontal lobe, right temporal lobe and left cingulate gyrus (P<0.001, FDR corrected). The differences mainly stemmed from that patients with ALS-FTD showed decreased fALFF and ReHo in these areas when compared to the other three groups, especially in relation to HCs, mainly locating in left prefrontal lobe and anterior cingulate cortex. The whole-brain comparisons of fALFF and ReHo between ALS-Ci, ALS-Cn and HCs revealed no significant difference (P<0.001, uncorrected). Conclusion: Hypoactivities are detected in extramotor areas in patients with ALS-FTD. RS-fMRI is helpful in investigating the pathophysiologic mechanism of cognitive impairment in ALS.
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Affiliation(s)
- D C Shen
- Department of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China
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27
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Li ZY, Liu XY, Peng P, Chen N, Ou J, Hao N, Zhou J, Bian XM. [Role of BoBs technology in early missed abortion chorionic villi]. Zhonghua Fu Chan Ke Za Zhi 2018; 53:308-312. [PMID: 29804348 DOI: 10.3760/cma.j.issn.0529-567x.2018.05.005] [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 investigate the value of bacterial artificial chromosome-on-beads (BoBs) technology in the genetic analysis of early missed abortion chorionic villi. Methods: Early missed abortion chorionic villi were detected with both conventional karyotyping method and BoBs technology in Peking Union Medical Hospital from July 2014 to March 2015. Compared the results of BoBs with conventional karyotyping analysis to evaluate the sensitivity, specificity and accuracy of this new method. Results: (1) A total of 161 samples were tested successfully in the technology of BoBs, 131 samples were tested successfully in the method of conventional karyotyping. (2) All of the cases obtained from BoBs results in (2.7±0.6) days and obtained from conventional karyotyping results in (22.5±1.9) days. There was significant statistical difference between the two groups (t=123.315, P<0.01) . (3) Out of 161 cases tested in BoBs, 85 (52.8%, 85/161) cases had the abnormal chromosomes, including 79 cases chromosome number abnormality, 4 cases were chromosome segment deletion, 2 cases mosaic. Out of 131 cases tested successfully in conventional karyotyping, 79 (60.3%, 79/131) cases had the abnormal chromosomes including 62 cases chromosome number abnormality, 17 cases other chromosome number abnormality, and the rate of chromosome abnormality between two methods was no significant differences (P=0.198) . (4) Conventional karyotyping results were served as the gold standard, the accuracy of BoBs for abnormal chromosomes was 82.4% (108/131) , analysed the normal chromosomes (52 cases) and chromosome number abnormality (62 cases) tested in conventional karyotyping, the accuracy of BoBs for chromosome number abnormality was 94.7% (108/114) . Conclusion: BoBs is a rapid reliable and easily operated method to test early missed abortion chorionic villi chromosomal abnormalities.
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Affiliation(s)
- Z Y Li
- Department of Obstetric and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
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28
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Wu CX, Zheng Y, Bao PP, Huang ZZ, Zhang ML, Gu K, Xiang YM, Peng P, Gong YM, Zhong WJ. [Analysis of the patterns of female breast cancer incidence in Shanghai, 2003-2012]. Zhonghua Yu Fang Yi Xue Za Zhi 2017; 51:692-697. [PMID: 28763917 DOI: 10.3760/cma.j.issn.0253-9624.2017.08.007] [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 analyze the patterns of female breast cancer and their incidence in Shanghai during 2003-2012, and to compare them with international data. Methods: The data of female breast cancer cases diagnosed between 2003 and 2012 were collected from the Shanghai Cancer Registry. The record of cancer cases included the patient's name, gender, date of birth, permanent and residential address, diagnosis site or name, histological type, date of first diagnosis, diagnostic basis and diagnostic stage, etc. Data source of cancer incidence of World, Developed Countries, Developing Countries, East Asia and China in 2012 sourced from GLOBOCAN 2012 database of the WHO International Agency for Research on Cancer (IARC); and the data of USA during 2008-2012 was collected from SEER 18 database from Surveillance, Epidemiology, and End Results Program of the National Cancer Institute (NCI). Incidence indicators of Shanghai female breast cancer were calculated, including the average cases, median age, average age, proportion, crude rate, age-specific rate and age-standardized rate. Results: During 2003-2012, 41 991 new cases of female breast cancer were diagnosed in Shanghai, with an average of 4 199 cases per year, accounting for 17.23% among total new female cancer cases, ranking first in female cancer incidence in Shanghai during 2003-2012, with a crude incidence rate of 60.90 per 100 000 and an age-standardized incidence rate of 33.90 per 100 000. During 2008-2012, an average 4 528 new cases of female breast cancer was diagnosed per year in Shanghai, with 16.97% among total female cancer cases. The median age was 56 years old and the mean age was 57.73 years old. The crude rate was 64.23 per 100 000 and the age-standardized rate was 35.00 per 100 0000, which was higher than those of China (22.1 per 100 000), Eastern Areas (27.0 per 100 000) and Developing Counties (31.3 per 100 000), and lower than that of World (43.1 per 100 000), and Yellow Race Population of USA (68.77 per 100 000). During 2003-2007, on average, 3 869 new cases of female breast cancer were diagnosed per year in Shanghai, accounting for 17.54% of total female cancer cases. The median age was 53 years old and the mean age was 56.44 years old. The crude rate was 57.42 per 100 000 and the age-standardized rate was 32.69 per 100 000. There was a continuing peak stage spanned 25 years old from 50 to 74 years old, during 2008-2012. Compared with those of 2003-2007, the beginning age group of the continuing peak stage was delayed for 5 years old and the ending age group was delayed for 10 years old. Conclusion: The age-standardized incidence rate in Shanghai was higher than those of China, Eastern Areas and Developing Counties, and lower than that of World, and that of Yellow Race Population of USA; Compared with 2003-2007, the crude rate and age-standardized rate increased, the median age, mean age and the beginning and ending age group of the continuing peak stage were delayed.
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Affiliation(s)
- C X Wu
- Department of Cancer Control and Prevention, Branch of Noncommunicable Diseases and Injury, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
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29
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Ho D, Peng P, Bass C, Collins P, D'Angelo A, Deur A, Fleming J, Hanretty C, Kageya T, Khandaker M, Klein FJ, Klempt E, Laine V, Lowry MM, Lu H, Nepali C, Nikonov VA, O'Connell T, Sandorfi AM, Sarantsev AV, Schumacher RA, Strakovsky II, Švarc A, Walford NK, Wei X, Whisnant CS, Workman RL, Zonta I, Adhikari KP, Adikaram D, Akbar Z, Amaryan MJ, Anefalos Pereira S, Avakian H, Ball J, Bashkanov M, Battaglieri M, Batourine V, Bedlinskiy I, Biselli A, Briscoe WJ, Burkert VD, Carman DS, Celentano A, Charles G, Chetry T, Ciullo G, Clark L, Colaneri L, Cole PL, Contalbrigo M, Crede V, Dashyan N, De Sanctis E, De Vita R, Djalali C, Dupre R, El Alaoui A, El Fassi L, Elouadrhiri L, Eugenio P, Fedotov G, Fegan S, Fersch R, Filippi A, Fradi A, Ghandilyan Y, Gilfoyle GP, Girod FX, Glazier DI, Gleason C, Gohn W, Golovatch E, Gothe RW, Griffioen KA, Guidal M, Guo L, Hakobyan H, Harrison N, Hattawy M, Hicks K, Holtrop M, Hughes SM, Ilieva Y, Ireland DG, Ishkhanov BS, Isupov EL, Jenkins D, Jiang H, Jo HS, Joo K, Joosten S, Keller D, Khachatryan G, Kim A, Kim W, Klein A, Kubarovsky V, Kuleshov SV, Lanza L, Lenisa P, Livingston K, MacGregor IJD, Markov N, McKinnon B, Mineeva T, Mokeev V, Montgomery RA, Movsisyan A, Munoz Camacho C, Murdoch G, Niccolai S, Niculescu G, Osipenko M, Paolone M, Paremuzyan R, Park K, Pasyuk E, Phelps W, Pogorelko O, Price JW, Procureur S, Protopopescu D, Ripani M, Riser D, Ritchie BG, Rizzo A, Rosner G, Sabatié F, Salgado C, Sharabian YG, Skorodumina I, Smith GD, Sober DI, Sokhan D, Sparveris N, Strauch S, Tian Y, Torayev B, Ungaro M, Voskanyan H, Voutier E, Watts DP, Wood MH, Zachariou N, Zhang J, Zhao ZW. Beam-Target Helicity Asymmetry for γ[over →]n[over →]→π^{-}p in the N^{*} Resonance Region. Phys Rev Lett 2017; 118:242002. [PMID: 28665642 DOI: 10.1103/physrevlett.118.242002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Indexed: 06/07/2023]
Abstract
We report the first beam-target double-polarization asymmetries in the γ+n(p)→π^{-}+p(p) reaction spanning the nucleon resonance region from invariant mass W=1500 to 2300 MeV. Circularly polarized photons and longitudinally polarized deuterons in solid hydrogen deuteride (HD) have been used with the CEBAF Large Acceptance Spectrometer (CLAS) at Jefferson Lab. The exclusive final state has been extracted using three very different analyses that show excellent agreement, and these have been used to deduce the E polarization observable for an effective neutron target. These results have been incorporated into new partial wave analyses and have led to significant revisions for several γnN^{*} resonance photocouplings.
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Affiliation(s)
- D Ho
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - P Peng
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - C Bass
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Collins
- Catholic University of America, Washington, D.C. 20064, USA
| | - A D'Angelo
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Università di Roma "Tor Vergata" and INFN Sezione di Roma2, 00133 Roma, Italy
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Fleming
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
| | - C Hanretty
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- University of Virginia, Charlottesville, Virginia 22903, USA
| | - T Kageya
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Khandaker
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - F J Klein
- The George Washington University, Washington, D.C. 20052, USA
| | - E Klempt
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, 53113 Bonn, Germany
| | - V Laine
- Université Blaise Pascal, Clermont-Ferrand, Aubière Cedex 63178 , France
| | - M M Lowry
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Lu
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
- University of Iowa, Iowa City, Iowa 52242, USA
| | - C Nepali
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V A Nikonov
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, 53113 Bonn, Germany
- Petersburg Nuclear Physics Institute, Gatchina 188300, Russia
| | - T O'Connell
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - A M Sandorfi
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A V Sarantsev
- Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, 53113 Bonn, Germany
- Petersburg Nuclear Physics Institute, Gatchina 188300, Russia
| | - R A Schumacher
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - I I Strakovsky
- The George Washington University, Washington, D.C. 20052, USA
| | - A Švarc
- Rudjer Bošković Institute, Zagreb 10002, Croatia
| | - N K Walford
- Catholic University of America, Washington, D.C. 20064, USA
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C S Whisnant
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - R L Workman
- The George Washington University, Washington, D.C. 20052, USA
| | - I Zonta
- Università di Roma "Tor Vergata" and INFN Sezione di Roma2, 00133 Roma, Italy
| | - K P Adhikari
- Old Dominion University, Norfolk, Virginia 23529, USA
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Adikaram
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - Z Akbar
- Florida State University, Tallahassee, Florida 32306, USA
| | - M J Amaryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | | | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Ball
- Irfu/SPhN, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191 , France
| | - M Bashkanov
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
| | | | - V Batourine
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I Bedlinskiy
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
| | - A Biselli
- Fairfield University, Fairfield, Connecticut 06824, USA
| | - W J Briscoe
- The George Washington University, Washington, D.C. 20052, USA
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Celentano
- INFN, Sezione di Genova, Genova 16146, Italy
| | - G Charles
- Old Dominion University, Norfolk, Virginia 23529, USA
- Irfu/SPhN, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191 , France
| | - T Chetry
- Ohio University, Athens, Ohio 45701, USA
| | - G Ciullo
- INFN Sezione di Ferrara and Universita' di Ferrara, Ferrara 44121, Italy
| | - L Clark
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - L Colaneri
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - P L Cole
- Idaho State University, Pocatello, Idaho 83209, USA
| | - M Contalbrigo
- INFN Sezione di Ferrara and Universita' di Ferrara, Ferrara 44121, Italy
| | - V Crede
- Florida State University, Tallahassee, Florida 32306, USA
| | - N Dashyan
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - E De Sanctis
- INFN, Laboratori Nazionali di Frascati, Frascati 00044, Italy
| | - R De Vita
- INFN, Sezione di Genova, Genova 16146, Italy
| | - C Djalali
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - R Dupre
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
- Irfu/SPhN, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191 , France
| | - A El Alaoui
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L El Fassi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - L Elouadrhiri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Eugenio
- Florida State University, Tallahassee, Florida 32306, USA
| | - G Fedotov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Fegan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - R Fersch
- Christopher Newport University, Newport News, Virginia 23606, USA
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - A Filippi
- INFN, Sezione di Torino, Torino 10125, Italy
| | - A Fradi
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
| | - Y Ghandilyan
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - F X Girod
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D I Glazier
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - C Gleason
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - W Gohn
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - E Golovatch
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187, USA
| | - M Guidal
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
| | - L Guo
- Florida International University, Miami, Florida 33199, USA
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - N Harrison
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Hattawy
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - K Hicks
- Ohio University, Athens, Ohio 45701, USA
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - S M Hughes
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
| | - Y Ilieva
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - B S Ishkhanov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - D Jenkins
- Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - H Jiang
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - H S Jo
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
| | - K Joo
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - S Joosten
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D Keller
- University of Virginia, Charlottesville, Virginia 22903, USA
| | | | - A Kim
- University of Connecticut, Storrs, Connecticut 06269, USA
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - W Kim
- Kyungpook National University, Daegu 41566, Republic of Korea
| | - A Klein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S V Kuleshov
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - L Lanza
- Università di Roma "Tor Vergata" and INFN Sezione di Roma2, 00133 Roma, Italy
| | - P Lenisa
- INFN Sezione di Ferrara and Universita' di Ferrara, Ferrara 44121, Italy
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | | | - N Markov
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - T Mineeva
- University of Connecticut, Storrs, Connecticut 06269, USA
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - V Mokeev
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - A Movsisyan
- INFN Sezione di Ferrara and Universita' di Ferrara, Ferrara 44121, Italy
| | - C Munoz Camacho
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
| | - G Murdoch
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - S Niccolai
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - M Osipenko
- INFN, Sezione di Genova, Genova 16146, Italy
| | - M Paolone
- Temple University, Philadelphia, Pennsylvania 19122, USA
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - R Paremuzyan
- University of New Hampshire, Durham, New Hampshire 03824, USA
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - K Park
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - E Pasyuk
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W Phelps
- Florida International University, Miami, Florida 33199, USA
| | - O Pogorelko
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
| | - J W Price
- California State University, Dominguez Hills, Carson, California 90747, USA
| | - S Procureur
- Irfu/SPhN, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191 , France
| | | | - M Ripani
- INFN, Sezione di Genova, Genova 16146, Italy
| | - D Riser
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - B G Ritchie
- Arizona State University, Tempe, Arizona 85287, USA
| | - A Rizzo
- Università di Roma "Tor Vergata" and INFN Sezione di Roma2, 00133 Roma, Italy
| | - G Rosner
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - F Sabatié
- Irfu/SPhN, CEA, Université Paris-Saclay, Gif-sur-Yvette 91191 , France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - Y G Sharabian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Iu Skorodumina
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - G D Smith
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
| | - D I Sober
- Catholic University of America, Washington, D.C. 20064, USA
| | - D Sokhan
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - Ye Tian
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - B Torayev
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Ungaro
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Voskanyan
- Yerevan Physics Institute, Yerevan 375036, Armenia
| | - E Voutier
- Institut de Physique Nucléaire, CNRS-IN2P3 and Université Paris Sud, Orsay 91406, France
| | - D P Watts
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
| | - M H Wood
- Canisius College, Buffalo, New York 14208, USA
| | - N Zachariou
- Edinburgh University, Edinburgh EH9 3FD, United Kingdom
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - J Zhang
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z W Zhao
- University of Virginia, Charlottesville, Virginia 22903, USA
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30
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Jiang Y, Wen D, Peng P. A DFT study on the competition and evolution characteristics between icosahedra and FCC clusters in rapid solidification of liquid Ag. J Mol Liq 2017. [DOI: 10.1016/j.molliq.2017.01.032] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [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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31
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Ding J, Xie M, Lian Y, Zhu Y, Peng P, Wang J, Wang L, Wang K. Long noncoding RNA HOXA-AS2 represses P21 and KLF2 expression transcription by binding with EZH2, LSD1 in colorectal cancer. Oncogenesis 2017; 6:e288. [PMID: 28112720 PMCID: PMC5294247 DOI: 10.1038/oncsis.2016.84] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [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: 07/10/2016] [Revised: 10/06/2016] [Accepted: 10/14/2016] [Indexed: 12/24/2022] Open
Abstract
Long noncoding RNAs (lncRNAs) have received increased attention as a new class of functional regulators involved in human carcinogenesis. HOXA cluster antisense RNA 2 (HOXA-AS2) is a 1048-bp lncRNA located between the HOXA3 and HOXA4 genes in the HOXA cluster that regulates gene expression at a transcription level. HOXA-AS2 is previously found to be overexpressed in gastric cancer (GC) and promotes GC cells proliferation. However, its potential role and molecular mechanism in colorectal cancer (CRC) are not known. Here, we identified that HOXA-AS2 is significantly upregulated in CRC tissue. In addition, increased HOXA-AS2 expression is associated with a larger tumor size and an advanced pathological stage in CRC patients. HOXA-AS2 knockdown significantly suppressed proliferation by blocking the G1/S transition and caused apoptosis of CRC cells in vitro and in vivo. The mechanistic investigations showed that HOXA-AS2 could interact with EZH2 (enhancer of zeste homolog 2), LSD1 (lysine specific demethylase 1) and recruit them to p21 (CDKN1A), KLF2 promoter regions to repress their transcription. Furthermore, the rescue experiments demonstrated that HOXA-AS2 oncogenic function is partly through regulating p21. In conclusion, our data suggest that HOXA-AS2 may function as an oncogene by modulating the multiple genes expression involved in CRC proliferation, and also provides a potential target for CRC therapy.
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Affiliation(s)
- J Ding
- Department of Oncology, Second Affiliated Hospital, Nanjing Medical University, Jiangsu, PR China
| | - M Xie
- Center for Reproduction and Genetics, Suzhou Municipal Hospital, Nanjing Medical University Affiliated Suzhou Hospital, Jiangsu, PR China
| | - Y Lian
- Department of Oncology, Second Affiliated Hospital, Nanjing Medical University, Jiangsu, PR China
| | - Y Zhu
- Department of Oncology, Second Affiliated Hospital, Nanjing Medical University, Jiangsu, PR China
| | - P Peng
- Department of Oncology, Second Affiliated Hospital, Nanjing Medical University, Jiangsu, PR China
| | - J Wang
- Department of Oncology, Second Affiliated Hospital, Nanjing Medical University, Jiangsu, PR China
| | - L Wang
- Department of Oncology, Second Affiliated Hospital, Nanjing Medical University, Jiangsu, PR China
| | - K Wang
- Department of Oncology, Second Affiliated Hospital, Nanjing Medical University, Jiangsu, PR China
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32
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Yang YC, Huang WQ, Xu L, Hu W, Peng P, Huang GF. Hybrid TiO2/graphene derivatives nanocomposites: is functionalized graphene better than pristine graphene for enhanced photocatalytic activity? Catal Sci Technol 2017. [DOI: 10.1039/c6cy02224c] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Graphene (GR) and its derivatives are generally assumed to be electron shuttles in order to explain the improved photocatalytic activity of their nanocomposites (such as TiO2/GR).
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Affiliation(s)
- Yin-Cai Yang
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Wei-Qing Huang
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Liang Xu
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Wangyu Hu
- School of Materials Science and Engineering
- Hunan University
- Changsha 410082
- China
| | - P. Peng
- School of Materials Science and Engineering
- Hunan University
- Changsha 410082
- China
| | - Gui-Fang Huang
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
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33
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Huang Z, Wen W, Zheng Y, Gao YT, Wu C, Bao P, Wang C, Gu K, Peng P, Gong Y, Zhang M, Xiang Y, Zhong W, Jin F, Xiang YB, Shu XO, Beeghly-Fadiel A. Breast cancer incidence and mortality: trends over 40 years among women in Shanghai, China. Ann Oncol 2016; 27:1129-1134. [PMID: 27013394 PMCID: PMC4880061 DOI: 10.1093/annonc/mdw069] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [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: 08/25/2015] [Revised: 12/02/2015] [Accepted: 02/07/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Breast cancer incidence rates are increasing among Asian women, likely due to the changes in risk factors caused by globalization. Trends in breast cancer rates among Chinese women may differ from other Asian regions due to the implementation of a nationwide family planning program and resulting changes in women's reproductive practices. Appraisal of cancer trends can direct cancer control and public health planning, but relevant studies in China are scarce due to a lack of long-term data. We sought to evaluate secular time trends in breast cancer incidence and mortality using 40 years of cancer registry data for women in urban Shanghai. MATERIALS AND METHODS Data on invasive breast cancer incidence and mortality were collected by the Shanghai Cancer Registry. Age-standardized rates (ASRs) for incidence and mortality were calculated using the Segi/Doll 1960 world standard population. Age, period, and birth cohort effects were evaluated using age-period-cohort (APC) Poisson regression models. Overall linear trends, interpreted as the estimated annual percentage change (EAPC), were derived from the net drift in age-drift models. RESULTS A total of 53 885 breast cancer cases and 17 235 breast cancer-specific deaths were documented among women in urban Shanghai between 1 January 1973 and 31 December 2012. Breast cancer incidence and mortality ASRs increased by 141.2% and 26.6%, respectively. Significant age, cohort, and period effects were identified in both incidence and mortality APC models; cohort effects were pronounced. Overall, a substantial increase in breast cancer incidence (EAPC = 2.96%/year) and a moderate increase in breast cancer mortality (EAPC = 0.87%/year) was observed. A notable downward trend in mortality was identified among younger women born after 1960. CONCLUSIONS Forty years of cancer registry data document a tremendous increase in incidence and a slight increase in mortality for breast cancer among women in Shanghai. Effective, appropriate, and affordable breast cancer prevention and control strategies are urgently needed in China.
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Affiliation(s)
- Z Huang
- Department of Cancer Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - W Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, USA
| | - Y Zheng
- Department of Cancer Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People's Republic of China.
| | - Y T Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai
| | - C Wu
- Department of Cancer Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - P Bao
- Department of Cancer Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - C Wang
- Department of Vital Statistics, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - K Gu
- Department of Cancer Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - P Peng
- Department of Cancer Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - Y Gong
- Department of Cancer Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - M Zhang
- Department of Cancer Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - Y Xiang
- Department of Cancer Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - W Zhong
- Department of Cancer Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - F Jin
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai
| | - Y B Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai
| | - X O Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, USA
| | - A Beeghly-Fadiel
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, USA
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34
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He CN, Huang WQ, Xu L, Yang YC, Zhou BX, Huang GF, Peng P, Liu WM. Tuning near-gap electronic structure, interface charge transfer and visible light response of hybrid doped graphene and Ag3PO4 composite: Dopant effects. Sci Rep 2016; 6:22267. [PMID: 26923338 PMCID: PMC4770300 DOI: 10.1038/srep22267] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [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: 10/28/2015] [Accepted: 02/03/2016] [Indexed: 11/28/2022] Open
Abstract
The enhanced photocatalytic performance of doped graphene (GR)/semiconductor nanocomposites have recently been widely observed, but an understanding of the underlying mechanisms behind it is still out of reach. As a model system to study the dopant effects, we investigate the electronic structures and optical properties of doped GR/Ag3PO4 nanocomposites using the first-principles calculations, demonstrating that the band gap, near-gap electronic structure and interface charge transfer of the doped GR/Ag3PO4(100) composite can be tuned by the dopants. Interestingly, the doping atom and C atoms bonded to dopant become active sites for photocatalysis because they are positively or negatively charged due to the charge redistribution caused by interaction. The dopants can enhance the visible light absorption and photoinduced electron transfer. We propose that the N atom may be one of the most appropriate dopants for the GR/Ag3PO4 photocatalyst. This work can rationalize the available experimental results about N-doped GR-semiconductor composites, and enriches our understanding on the dopant effects in the doped GR-based composites for developing high-performance photocatalysts.
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Affiliation(s)
- Chao-Ni He
- Department of Applied Physics, School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Wei-Qing Huang
- Department of Applied Physics, School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Liang Xu
- School of Materials Science and Engineering, Hunan University, Changsha 410082, China.,Department of Applied Physics, School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Yin-Cai Yang
- Department of Applied Physics, School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Bing-Xin Zhou
- Department of Applied Physics, School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - Gui-Fang Huang
- Department of Applied Physics, School of Physics and Electronics, Hunan University, Changsha 410082, China
| | - P Peng
- School of Materials Science and Engineering, Hunan University, Changsha 410082, China
| | - Wu-Ming Liu
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
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35
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Yin JY, Li GF, Si YL, Ying G, Peng P. Micromechanism of Cu and Fe alloying process on the martensitic phase transformation of NiTi-based alloys: First-principles calculation. J STRUCT CHEM+ 2016. [DOI: 10.1134/s0022476615060049] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [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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36
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Luo CY, Huang WQ, Hu W, Peng P, Huang GF. Non-covalent functionalization of WS2 monolayer with small fullerenes: tuning electronic properties and photoactivity. Dalton Trans 2016; 45:13383-91. [DOI: 10.1039/c6dt02074g] [Citation(s) in RCA: 22] [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] [Indexed: 11/21/2022]
Abstract
Atomically thin 2-D transition metal dichalcogenide (TMDCs) heterostructures have attracted growing interest due to their massive potential in solar energy applications due to their visible band gap and very strong light–matter interactions.
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Affiliation(s)
- Cai-Yun Luo
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Wei-Qing Huang
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Wangyu Hu
- School of Materials Science and Engineering
- Hunan University
- Changsha 410082
- China
| | - P. Peng
- School of Materials Science and Engineering
- Hunan University
- Changsha 410082
- China
| | - Gui-Fang Huang
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
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37
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Luo CY, Huang WQ, Xu L, Yang YC, Li X, Hu W, Peng P, Huang GF. Electronic properties and photoactivity of monolayer MoS2/fullerene van der Waals heterostructures. RSC Adv 2016. [DOI: 10.1039/c6ra05672e] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
van der Waals (vdW) heterostructures have attracted immense interest recently due to their unusual properties and new phenomena.
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Affiliation(s)
- Cai-Yun Luo
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Wei-Qing Huang
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Liang Xu
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Yin-Cai Yang
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Xiaofan Li
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Wangyu Hu
- School of Materials Science and Engineering
- Hunan University
- Changsha 410082
- China
| | - P. Peng
- School of Materials Science and Engineering
- Hunan University
- Changsha 410082
- China
| | - Gui-Fang Huang
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
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38
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Luo CY, Huang WQ, Xu L, Yang YC, Li X, Hu W, Peng P, Huang GF. Enhanced photocatalytic performance of an Ag3PO4 photocatalyst via fullerene modification: first-principles study. Phys Chem Chem Phys 2016; 18:2878-86. [DOI: 10.1039/c5cp05699c] [Citation(s) in RCA: 22] [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] [Indexed: 11/21/2022]
Abstract
The coupling of carbon nanomaterials with semiconductor photocatalysts is a promising route to improve their photocatalytic performance.
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Affiliation(s)
- Cai-Yun Luo
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Wei-Qing Huang
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Liang Xu
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Yin-Cai Yang
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Xiaofan Li
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Wangyu Hu
- School of Materials Science and Engineering
- Hunan University
- Changsha 410082
- China
| | - P. Peng
- School of Materials Science and Engineering
- Hunan University
- Changsha 410082
- China
| | - Gui-Fang Huang
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
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39
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Jiang WW, Wang QH, Peng P, Liao YJ, Duan HX, Xu M, Li Y, Zhang PB. Effects of flurbiprofen axetil on postoperative serum IL-2 and IL-6 levels in patients with colorectal cancer. Genet Mol Res 2015; 14:16469-75. [PMID: 26662445 DOI: 10.4238/2015.december.9.18] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
We explored the effects of flurbiprofen axetil on interleukin (IL)-2 and IL-6 levels in postoperative patients with colorectal cancer. A total of 120 patients (American Society of Anesthesiologists I and II) scheduled to undergo colorectal cancer surgery were randomly divided into 3 groups (N = 40 in each group): flurbiprofen axetil group (group F), morphine group (group M), and tramadol group (group T). Group M received 0.1 mg/kg morphine, group T received 1.5 mg/kg tramadol, and group F received 1.5 mg/kg flurbiprofen axetil. Patients in the 3 groups were administered treatments through intravenous injection 10 min before surgery. Serum IL-2 and IL-6 levels were detected. Postoperative adverse reactions were recorded, such as nausea, vomiting, and pruritus. The serum IL-6 level of the 3 groups increased 3 h after surgery. Compared with group M, IL-6 level was higher in group T and group F at 1 day after the surgery, and the differences between group M and the other groups were significant (P < 0.05). Moreover, the incidence of adverse reactions was significantly different among 3 groups (P < 0.05). Flurbiprofen axetil promoted the secretion of IL-2 and inhibited IL-6; additionally, flurbiprofen axetil may have a lower incidence of adverse reactions compared to other treatments.
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Affiliation(s)
- W W Jiang
- Department of Anesthesiology II, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Q H Wang
- Department of Anesthesiology II, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - P Peng
- Department of Anesthesiology II, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Y J Liao
- Department of Anesthesiology II, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - H X Duan
- Department of Anesthesiology II, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - M Xu
- Department of Anesthesiology II, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Y Li
- Department of Anesthesiology II, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - P B Zhang
- Department of Anesthesiology, Second Affiliated Hospital of Xi'an Jiaotong University School of Medicine
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40
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Peng P, Zhu ZH, Zhong ZJ, Zheng K, Yang JX, Cao DY, Shen K. Benefits of fluorine-18 fludeoxyglucose positron emission tomography in secondary cytoreductive surgery for patients with recurrent epithelial ovarian cancer. Br J Radiol 2015; 88:20150109. [PMID: 25989698 DOI: 10.1259/bjr.20150109] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To investigate the benefits of fluorine-18 fludeoxyglucose positron emission tomography ((18)F-FDG-PET) in patients undergoing secondary cytoreductive surgery (SCRS) for recurrent epithelial ovarian cancer. METHODS Patients were identified, and their clinical information was extracted by review of the gynaecologic oncology database of Peking Union Medical College Hospital. (18)F-FDG-PET scan and analysis were performed by nuclear medicine experts at our hospital. RESULTS The PET group and the control group of patients evaluated by conventional imaging methods differed significantly with respect to the proportion of patients who underwent complete SCRS and the number of residual lesions (p = 0.002 and 0.006, respectively). A Cox model showed that longer progression-free survival (PFS) correlated significantly with (18)F-FDG-PET evaluation [relative risk (RR) = 0.432; p = 0.001], sensitivity to platinum-based chemotherapies (RR = 0.604; p = 0.034) and resection completeness (RR = 0.679; p = 0.039). Longer overall survival (OS) correlated significantly with sensitivity to platinum-based chemotherapy (RR = 0.317; p = 0.000) and the CA-125 level after two cycles of chemotherapy (RR = 2.663; p = 0.003). Surgical safety and complications did not significantly differ between the two groups of patients. CONCLUSION (18)F-FDG-PET is useful for evaluating patients with recurrent epithelial ovarian carcinoma. Patients who undergo PET-guided SCRS have a greater chance of complete tumour resection and a longer PFS. ADVANCES IN KNOWLEDGE SCRS guided by PET results in fewer residual lesions. PET-guided SCRS is safe and can prolong PFS and OS in patients with recurrent ovarian cancer.
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Affiliation(s)
- P Peng
- 1 Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Z H Zhu
- 2 Department of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Z J Zhong
- 1 Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - K Zheng
- 2 Department of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - J X Yang
- 1 Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - D Y Cao
- 1 Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - K Shen
- 1 Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
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Li M, Jiang T, Peng P, Yang XQ, Wang WC. Association of compartment defects in anorectal and pelvic floor dysfunction with female outlet obstruction constipation (OOC) by dynamic MR defecography. Eur Rev Med Pharmacol Sci 2015; 19:1407-1415. [PMID: 25967716] [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: 06/04/2023]
Abstract
OBJECTIVE Chronic constipation affects more than 17% of the global population worldwide, and up to 50% of patients were outlet obstruction constipation (OOC). Women and the elderly are most likely to be affected, due to female-specific risk factors, such as menopause, parity and multiparity. The aim of our study was to investigate the association of compartment defects in anorectal and pelvic floor dysfunction with female outlet obstruction constipation (OOC) by MR defecography. PATIENTS AND METHODS Fifty-six consecutive women diagnosed with outlet obstruction constipation from October 2009 to July 2011 were included. They were categorized into the following groups: anorectal disorder only group (27 patients) and anorectal disorder plus multi-compartment pelvic disorder group (29 patients). Relevant measurements were taken at rest, during squeezing and straining. RESULTS Anismus was significantly more common in the anorectal disorder group compared to the multi-compartment pelvic disorder group. Conversely, rectocele, rectal prolapse, and descending perineum were significantly more common in the multi-compartment pelvic disorder group compared to the anorectal disorder group. Of the total 56 OOC patients, 34 (60.7%) exhibited anismus and 38 (67.9%) rectocele. Among the anismus patients, there were 8 patients (23.5%) with combined cystocele, and 6 patients (17.6%) with combined vaginal/cervical prolapse. Among the rectocele patients, there were 23 patients (60.5%) with combined cystocele and 18 patients (47.4%) with combined vaginal/cervical prolapse. With respect to anorectal defects, 13 anismus patients (38.2%) were with signal posterior pelvic defects, 4 rectocele patients (10.5%) presented with signal posterior pelvic defects. CONCLUSIONS Inadequate defecatory propulsion due to outlet obstruction constipation is often associated with multi-compartment pelvic floor disorders, whereas not about dyssynergic defecation.
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Affiliation(s)
- M Li
- Department of Radiology, Beijing Chaoyang Hospital, Affiliated to Capital Medical University, Beijing, China.
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Seder E, Biselli A, Pisano S, Niccolai S, Smith GD, Joo K, Adhikari K, Amaryan MJ, Anderson MD, Anefalos Pereira S, Avakian H, Battaglieri M, Bedlinskiy I, Bono J, Boiarinov S, Bosted P, Briscoe W, Brock J, Brooks WK, Bültmann S, Burkert VD, Carman DS, Carlin C, Celentano A, Chandavar S, Charles G, Colaneri L, Cole PL, Contalbrigo M, Crabb D, Crede V, D'Angelo A, Dashyan N, De Vita R, De Sanctis E, Deur A, Djalali C, Doughty D, Dupre R, El Fassi L, Elouadrhiri L, Eugenio P, Fedotov G, Fegan S, Filippi A, Fleming JA, Fradi A, Garillon B, Garçon M, Gevorgyan N, Ghandilyan Y, Giovanetti KL, Girod FX, Goetz JT, Gohn W, Gothe RW, Griffioen KA, Guegan B, Guidal M, Guo L, Hafidi K, Hakobyan H, Hanretty C, Harrison N, Hattawy M, Hirlinger Saylor N, Holtrop M, Hughes SM, Ilieva Y, Ireland DG, Ishkhanov BS, Isupov EL, Jo HS, Joosten S, Keith CD, Keller D, Khachatryan G, Khandaker M, Kim A, Kim W, Klein A, Klein FJ, Koirala S, Kubarovsky V, Kuhn SE, Lenisa P, Livingston K, Lu HY, MacGregor IJD, Markov N, Mayer M, McKinnon B, Meekins DG, Mineeva T, Mirazita M, Mokeev V, Montgomery R, Moody CI, Moutarde H, Movsisyan A, Munoz Camacho C, Nadel-Turonski P, Niculescu I, Osipenko M, Ostrovidov AI, Paolone M, Pappalardo LL, Park K, Park S, Pasyuk E, Peng P, Phelps W, Pogorelko O, Price JW, Prok Y, Protopopescu D, Puckett AJR, Ripani M, Rizzo A, Rosner G, Rossi P, Roy P, Sabatié F, Salgado C, Schott D, Schumacher RA, Senderovich I, Simonyan A, Skorodumina I, Sokhan D, Sparveris N, Stepanyan S, Stoler P, Strakovsky II, Strauch S, Sytnik V, Taiuti M, Tang W, Tian Y, Ungaro M, Voskanyan H, Voutier E, Walford NK, Watts DP, Wei X, Weinstein LB, Wood MH, Zachariou N, Zana L, Zhang J, Zonta I. Longitudinal target-spin asymmetries for deeply virtual compton scattering. Phys Rev Lett 2015; 114:032001. [PMID: 25658994 DOI: 10.1103/physrevlett.114.032001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2014] [Indexed: 06/04/2023]
Abstract
A measurement of the electroproduction of photons off protons in the deeply inelastic regime was performed at Jefferson Lab using a nearly 6 GeV electron beam, a longitudinally polarized proton target, and the CEBAF Large Acceptance Spectrometer. Target-spin asymmetries for ep→e^{'}p^{'}γ events, which arise from the interference of the deeply virtual Compton scattering and the Bethe-Heitler processes, were extracted over the widest kinematics in Q^{2}, x_{B}, t, and ϕ, for 166 four-dimensional bins. In the framework of generalized parton distributions, at leading twist the t dependence of these asymmetries provides insight into the spatial distribution of the axial charge of the proton, which appears to be concentrated in its center. These results also bring important and necessary constraints for the existing parametrizations of chiral-even generalized parton distributions.
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Affiliation(s)
- E Seder
- University of Connecticut, Storrs, Connecticut 06269, USA and CEA, Centre de Saclay, Irfu/Service de Physique Nucléaire, 91191 Gif-sur-Yvette, France
| | - A Biselli
- Fairfield University, Fairfield, Connecticut 06824, USA
| | - S Pisano
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy and Institut de Physique Nucléaire Orsay, 91406 Orsay, France
| | - S Niccolai
- Institut de Physique Nucléaire Orsay, 91406 Orsay, France
| | - G D Smith
- University of Glasgow, Glasgow G12 8QQ, United Kingdom and Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - K Joo
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - K Adhikari
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M J Amaryan
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M D Anderson
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | | | - H Avakian
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - I Bedlinskiy
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
| | - J Bono
- Florida International University, Miami, Florida 33199, USA
| | - S Boiarinov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Bosted
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - W Briscoe
- The George Washington University, Washington, D.C. 20052, USA
| | - J Brock
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W K Brooks
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - S Bültmann
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Carlin
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | | | - G Charles
- Institut de Physique Nucléaire Orsay, 91406 Orsay, France
| | - L Colaneri
- INFN, Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - P L Cole
- Idaho State University, Pocatello, Idaho 83209, USA
| | | | - D Crabb
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - V Crede
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Roma, Italy and Università di Roma Tor Vergata, 00133 Roma, Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - E De Sanctis
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Djalali
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D Doughty
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Christopher Newport University, Newport News, Virginia 23606, USA
| | - R Dupre
- Institut de Physique Nucléaire Orsay, 91406 Orsay, France and Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - L El Fassi
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Elouadrhiri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Eugenio
- Florida State University, Tallahassee, Florida 32306, USA
| | - G Fedotov
- University of South Carolina, Columbia, South Carolina 29208, USA and Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - S Fegan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom and INFN, Sezione di Genova, 16146 Genova, Italy
| | - A Filippi
- INFN, Sezione di Torino, Torino, Italy
| | - J A Fleming
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - A Fradi
- Institut de Physique Nucléaire Orsay, 91406 Orsay, France
| | - B Garillon
- Institut de Physique Nucléaire Orsay, 91406 Orsay, France
| | - M Garçon
- CEA, Centre de Saclay, Irfu/Service de Physique Nucléaire, 91191 Gif-sur-Yvette, France
| | - N Gevorgyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - Y Ghandilyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - K L Giovanetti
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - F X Girod
- CEA, Centre de Saclay, Irfu/Service de Physique Nucléaire, 91191 Gif-sur-Yvette, France and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J T Goetz
- Ohio University, Athens, Ohio 45701, USA
| | - W Gohn
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - B Guegan
- Institut de Physique Nucléaire Orsay, 91406 Orsay, France
| | - M Guidal
- Institut de Physique Nucléaire Orsay, 91406 Orsay, France
| | - L Guo
- Florida International University, Miami, Florida 33199, USA
| | - K Hafidi
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile and Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - C Hanretty
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - N Harrison
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Hattawy
- Institut de Physique Nucléaire Orsay, 91406 Orsay, France
| | | | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - S M Hughes
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - Y Ilieva
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - B S Ishkhanov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - E L Isupov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - H S Jo
- Institut de Physique Nucléaire Orsay, 91406 Orsay, France
| | - S Joosten
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - C D Keith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Keller
- Ohio University, Athens, Ohio 45701, USA and University of Virginia, Charlottesville, Virginia 22901, USA
| | | | - M Khandaker
- Idaho State University, Pocatello, Idaho 83209, USA and Norfolk State University, Norfolk, Virginia 23504, USA
| | - A Kim
- Kyungpook National University, Daegu 702-701, Republic of Korea
| | - W Kim
- Kyungpook National University, Daegu 702-701, Republic of Korea
| | - A Klein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - F J Klein
- Catholic University of America, Washington, D.C. 20064, USA
| | - S Koirala
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V Kubarovsky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S E Kuhn
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - P Lenisa
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - H Y Lu
- University of South Carolina, Columbia, South Carolina 29208, USA
| | | | - N Markov
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Mayer
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - D G Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Mineeva
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Mirazita
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - V Mokeev
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R Montgomery
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - C I Moody
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Moutarde
- CEA, Centre de Saclay, Irfu/Service de Physique Nucléaire, 91191 Gif-sur-Yvette, France
| | - A Movsisyan
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | | | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Catholic University of America, Washington, D.C. 20064, USA
| | - I Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A I Ostrovidov
- Florida State University, Tallahassee, Florida 32306, USA
| | - M Paolone
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | | | - K Park
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and University of South Carolina, Columbia, South Carolina 29208, USA
| | - S Park
- Florida State University, Tallahassee, Florida 32306, USA
| | - E Pasyuk
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Arizona State University, Tempe, Arizona 85287-1504, USA
| | - P Peng
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - W Phelps
- Florida International University, Miami, Florida 33199, USA
| | - O Pogorelko
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
| | - J W Price
- California State University, Dominguez Hills, Carson, California 90747, USA
| | - Y Prok
- Old Dominion University, Norfolk, Virginia 23529, USA
| | | | - A J R Puckett
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A Rizzo
- INFN, Sezione di Roma Tor Vergata, 00133 Roma, Italy
| | - G Rosner
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - P Rossi
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Roy
- Florida State University, Tallahassee, Florida 32306, USA
| | - F Sabatié
- CEA, Centre de Saclay, Irfu/Service de Physique Nucléaire, 91191 Gif-sur-Yvette, France
| | - C Salgado
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - D Schott
- Florida International University, Miami, Florida 33199, USA and The George Washington University, Washington, D.C. 20052, USA
| | - R A Schumacher
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - I Senderovich
- Arizona State University, Tempe, Arizona 85287-1504, USA
| | - A Simonyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - I Skorodumina
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D Sokhan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom and Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Stepanyan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Stoler
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA
| | - I I Strakovsky
- The George Washington University, Washington, D.C. 20052, USA
| | - S Strauch
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - V Sytnik
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - M Taiuti
- INFN, Sezione di Genova, 16146 Genova, Italy and Università di Genova, 16146 Genova, Italy
| | - W Tang
- Ohio University, Athens, Ohio 45701, USA
| | - Y Tian
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Ungaro
- University of Connecticut, Storrs, Connecticut 06269, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - E Voutier
- LPSC, Université Grenoble-Alps, CNRS/IN2P3, Grenoble, France
| | - N K Walford
- Catholic University of America, Washington, D.C. 20064, USA
| | - D P Watts
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L B Weinstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M H Wood
- University of South Carolina, Columbia, South Carolina 29208, USA and Canisius College, Buffalo, New York 14208, USA
| | - N Zachariou
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - L Zana
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - J Zhang
- Old Dominion University, Norfolk, Virginia 23529, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I Zonta
- INFN, Sezione di Roma Tor Vergata, 00133 Roma, Italy
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Wan H, Xu L, Huang WQ, Zhou JH, He CN, Li X, Huang GF, Peng P, Zhou ZG. Band structure engineering of monolayer MoS2: a charge compensated codoping strategy. RSC Adv 2015. [DOI: 10.1039/c4ra12498g] [Citation(s) in RCA: 25] [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] [Indexed: 11/21/2022] Open
Abstract
The monolayer MoS2, possessing an advantage over graphene in that it exhibits a band gap whose magnitude is appropriate for solar applications, has attracted increasing attention because of its possible use as a photocatalyst.
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Affiliation(s)
- Hui Wan
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Liang Xu
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Wei-Qing Huang
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Jia-Hui Zhou
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Chao-Ni He
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Xiaofan Li
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - Gui-Fang Huang
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
| | - P. Peng
- School of Materials Science and Engineering
- Hunan University
- Changsha 410082
- China
| | - Zheng-Gui Zhou
- Department of Applied Physics
- School of Physics and Electronics
- Hunan University
- Changsha 410082
- China
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44
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Mestayer MD, Park K, Adhikari KP, Aghasyan M, Pereira SA, Ball J, Battaglieri M, Batourine V, Bedlinskiy I, Biselli AS, Boiarinov S, Briscoe WJ, Brooks WK, Burkert VD, Carman DS, Celentano A, Chandavar S, Charles G, Colaneri L, Cole PL, Contalbrigo M, Cortes O, Crede V, D'Angelo A, Dashyan N, De Vita R, Deur A, Djalali C, Doughty D, Dupre R, El Alaoui A, El Fassi L, Elouadrhiri L, Eugenio P, Fedotov G, Fleming JA, Forest TA, Garillon B, Garçon M, Ghandilyan Y, Gilfoyle GP, Giovanetti KL, Girod FX, Goetz JT, Golovatch E, Gothe RW, Griffioen KA, Guegan B, Guidal M, Hakobyan H, Hanretty C, Hattawy M, Holtrop M, Hughes SM, Hyde CE, Ilieva Y, Ireland DG, Jiang H, Jo HS, Joo K, Keller D, Khandaker M, Kim A, Kim W, Koirala S, Kubarovsky V, Kuleshov SV, Lenisa P, Levine WI, Livingston K, Lu HY, MacGregor IJD, Mayer M, McKinnon B, Meyer CA, Mirazita M, Mokeev V, Montgomery RA, Moody CI, Moutarde H, Movsisyan A, Camacho CM, Nadel-Turonski P, Niccolai S, Niculescu G, Niculescu I, Osipenko M, Ostrovidov AI, Pappalardo LL, Paremuzyan R, Peng P, Phelps W, Pisano S, Pogorelko O, Pozdniakov S, Price JW, Protopopescu D, Puckett AJR, Raue BA, Rimal D, Ripani M, Rizzo A, Rosner G, Roy P, Sabatié F, Saini MS, Schott D, Schumacher RA, Simonyan A, Sokhan D, Strauch S, Sytnik V, Tang W, Tian Y, Ungaro M, Vernarsky B, Vlassov AV, Voskanyan H, Voutier E, Walford NK, Watts DP, Wei X, Weinstein LB, Wood MH, Zachariou N, Zhang J, Zhao ZW, Zonta I. Strangeness suppression of qq creation observed in exclusive reactions. Phys Rev Lett 2014; 113:152004. [PMID: 25375706 DOI: 10.1103/physrevlett.113.152004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Indexed: 06/04/2023]
Abstract
We measured the ratios of electroproduction cross sections from a proton target for three exclusive meson-baryon final states: ΛK(+), pπ(0), and nπ(+), with the CLAS detector at Jefferson Lab. Using a simple model of quark hadronization, we extract qq creation probabilities for the first time in exclusive two-body production, in which only a single qq pair is created. We observe a sizable suppression of strange quark-antiquark pairs compared to nonstrange pairs, similar to that seen in high-energy production.
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Affiliation(s)
- M D Mestayer
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Park
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K P Adhikari
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M Aghasyan
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | | | - J Ball
- CEA, Centre de Saclay, Irfu/Service de Physique Nucléaire, 91191 Gif-sur-Yvette, France
| | | | - V Batourine
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - I Bedlinskiy
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
| | - A S Biselli
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA and Fairfield University, Fairfield, Connecticut 06824, USA
| | - S Boiarinov
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W J Briscoe
- The George Washington University, Washington, D.C. 20052, USA
| | - W K Brooks
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA and Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - V D Burkert
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D S Carman
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Celentano
- INFN, Sezione di Genova, 16146 Genova, Italy
| | | | - G Charles
- Institut de Physique Nucléaire ORSAY, Orsay, France
| | - L Colaneri
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy and Universita' di Roma Tor Vergata, 00133 Rome, Italy
| | - P L Cole
- Idaho State University, Pocatello, Idaho 83209, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - O Cortes
- Idaho State University, Pocatello, Idaho 83209, USA
| | - V Crede
- Florida State University, Tallahassee, Florida 32306, USA
| | - A D'Angelo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy and Universita' di Roma Tor Vergata, 00133 Rome, Italy
| | - N Dashyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - R De Vita
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A Deur
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Djalali
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - D Doughty
- Christopher Newport University, Newport News, Virginia 23606, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Dupre
- Institut de Physique Nucléaire ORSAY, Orsay, France
| | - A El Alaoui
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - L El Fassi
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - L Elouadrhiri
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Eugenio
- Florida State University, Tallahassee, Florida 32306, USA
| | - G Fedotov
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia and University of South Carolina, Columbia, South Carolina 29208, USA
| | - J A Fleming
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - T A Forest
- Idaho State University, Pocatello, Idaho 83209, USA
| | - B Garillon
- Institut de Physique Nucléaire ORSAY, Orsay, France
| | - M Garçon
- CEA, Centre de Saclay, Irfu/Service de Physique Nucléaire, 91191 Gif-sur-Yvette, France
| | - Y Ghandilyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - G P Gilfoyle
- University of Richmond, Richmond, Virginia 23173, USA
| | - K L Giovanetti
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - F X Girod
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J T Goetz
- Ohio University, Athens, Ohio 45701, USA
| | - E Golovatch
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia
| | - R W Gothe
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - K A Griffioen
- College of William and Mary, Williamsburg, Virginia 23187-8795, USA
| | - B Guegan
- Institut de Physique Nucléaire ORSAY, Orsay, France
| | - M Guidal
- Institut de Physique Nucléaire ORSAY, Orsay, France
| | - H Hakobyan
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile and Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - C Hanretty
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - M Hattawy
- Institut de Physique Nucléaire ORSAY, Orsay, France
| | - M Holtrop
- University of New Hampshire, Durham, New Hampshire 03824-3568, USA
| | - S M Hughes
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - C E Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - Y Ilieva
- The George Washington University, Washington, D.C. 20052, USA and University of South Carolina, Columbia, South Carolina 29208, USA
| | - D G Ireland
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - H Jiang
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - H S Jo
- Institut de Physique Nucléaire ORSAY, Orsay, France
| | - K Joo
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - D Keller
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - M Khandaker
- Idaho State University, Pocatello, Idaho 83209, USA and Norfolk State University, Norfolk, Virginia 23504, USA
| | - A Kim
- Kyungpook National University, Daegu 702-701, Republic of Korea
| | - W Kim
- Kyungpook National University, Daegu 702-701, Republic of Korea
| | - S Koirala
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V Kubarovsky
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S V Kuleshov
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia and Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - P Lenisa
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | - W I Levine
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - K Livingston
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - H Y Lu
- University of South Carolina, Columbia, South Carolina 29208, USA
| | | | - M Mayer
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - B McKinnon
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - C A Meyer
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - M Mirazita
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - V Mokeev
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234 Moscow, Russia and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R A Montgomery
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - C I Moody
- Argonne National Laboratory, Argonne, Illinois 60439, USA
| | - H Moutarde
- CEA, Centre de Saclay, Irfu/Service de Physique Nucléaire, 91191 Gif-sur-Yvette, France
| | - A Movsisyan
- INFN, Sezione di Ferrara, 44100 Ferrara, Italy
| | | | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Niccolai
- The George Washington University, Washington, D.C. 20052, USA and Institut de Physique Nucléaire ORSAY, Orsay, France
| | - G Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA and Ohio University, Athens, Ohio 45701, USA
| | - I Niculescu
- James Madison University, Harrisonburg, Virginia 22807, USA
| | - M Osipenko
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A I Ostrovidov
- Florida State University, Tallahassee, Florida 32306, USA
| | | | - R Paremuzyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - P Peng
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - W Phelps
- Florida International University, Miami, Florida 33199, USA
| | - S Pisano
- INFN, Laboratori Nazionali di Frascati, 00044 Frascati, Italy
| | - O Pogorelko
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
| | - S Pozdniakov
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
| | - J W Price
- California State University, Dominguez Hills, Carson, California 90747, USA and Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA
| | | | - A J R Puckett
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - B A Raue
- Florida International University, Miami, Florida 33199, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Rimal
- Florida International University, Miami, Florida 33199, USA
| | - M Ripani
- INFN, Sezione di Genova, 16146 Genova, Italy
| | - A Rizzo
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
| | - G Rosner
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - P Roy
- Florida State University, Tallahassee, Florida 32306, USA
| | - F Sabatié
- CEA, Centre de Saclay, Irfu/Service de Physique Nucléaire, 91191 Gif-sur-Yvette, France
| | - M S Saini
- Florida State University, Tallahassee, Florida 32306, USA
| | - D Schott
- The George Washington University, Washington, D.C. 20052, USA
| | - R A Schumacher
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - A Simonyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - D Sokhan
- University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - S Strauch
- The George Washington University, Washington, D.C. 20052, USA and University of South Carolina, Columbia, South Carolina 29208, USA
| | - V Sytnik
- Universidad Técnica Federico Santa María, Casilla 110-V Valparaíso, Chile
| | - W Tang
- Ohio University, Athens, Ohio 45701, USA
| | - Ye Tian
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - M Ungaro
- Rensselaer Polytechnic Institute, Troy, New York 12180-3590, USA and Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Vernarsky
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - A V Vlassov
- Institute of Theoretical and Experimental Physics, Moscow 117259, Russia
| | - H Voskanyan
- Yerevan Physics Institute, 375036 Yerevan, Armenia
| | - E Voutier
- LPSC, Université Grenoble-Alpes, CNRS/IN2P3, Grenoble, France
| | - N K Walford
- Catholic University of America, Washington, D.C. 20064, USA
| | - D P Watts
- Edinburgh University, Edinburgh EH9 3JZ, United Kingdom
| | - X Wei
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - L B Weinstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - M H Wood
- Canisius College, Buffalo, New York 14208, USA and University of South Carolina, Columbia, South Carolina 29208, USA
| | - N Zachariou
- University of South Carolina, Columbia, South Carolina 29208, USA
| | - J Zhang
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z W Zhao
- University of Virginia, Charlottesville, Virginia 22901, USA
| | - I Zonta
- INFN, Sezione di Roma Tor Vergata, 00133 Rome, Italy
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Zaza K, Booth C, Siemens R, Peng P, Berman D, Wei X, Kong W, Mackillop W. Patterns of Referral to Radiation Oncology Among Patients Who Undergo Cystectomy for Invasive Bladder Cancer in Ontario: A Population-Based Study. Int J Radiat Oncol Biol Phys 2014. [DOI: 10.1016/j.ijrobp.2014.05.1444] [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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Peng P, Shen J, Dong JB, Zhang Y. Preoperative plasma fibrinogen predicts cervical metastasis in patients with stage I/II carcinoma of the tongue. Int J Oral Maxillofac Surg 2014; 43:393-8. [DOI: 10.1016/j.ijom.2013.09.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2013] [Revised: 07/23/2013] [Accepted: 09/26/2013] [Indexed: 11/28/2022]
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Affiliation(s)
- L. G. Meng
- School of Materials Science and EngineeringDalian University of Technology, Dalian, 116024, China
| | - C. F. Fang
- School of Materials Science and EngineeringDalian University of Technology, Dalian, 116024, China
| | - P. Peng
- School of Materials Science and EngineeringDalian University of Technology, Dalian, 116024, China
| | - S. B. Mi
- Chinese Academy of SciencesShenyang 110016, China
| | - Q. Zhu
- School of Materials Science and EngineeringDalian University of Technology, Dalian, 116024, China
| | - N. P. Li
- School of Materials Science and EngineeringDalian University of Technology, Dalian, 116024, China
| | - H. Hao
- School of Materials Science and EngineeringDalian University of Technology, Dalian, 116024, China
| | - X. G. Zhang
- School of Materials Science and EngineeringDalian University of Technology, Dalian, 116024, China
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Abstract
OBJECTIVE The aim of our study was to compare volume change in grey matter (GM) and white matter (WM) in a group of subjects with anosmia and a healthy control group. We tried to find a regular pattern of atrophy within and between GM and WM and to determine whether any particular areas are more sensitive to olfactory injury. METHODS There were 19 anosmic patients and 20 age- and sex-matched control subjects. We acquired MR images on a 3-T scanner and performed voxel-based morphometry using the VBM8 toolbox and SPM8 in a MATLAB® (MathWorks®, Natick, MA) environment. RESULTS Patients with anosmia showed a significant decrease in GM volume, mainly in the anterior cingulate cortex, middle temporal gyrus, superior temporal gyrus, fusiform gyrus, supramarginal gyrus, superior frontal gyrus, middle frontal gyrus, middle occipital gyrus, anterior insular cortex and cerebellum. In addition, we observed volume decreases in smaller areas such as the piriform cortex, the inferior temporal gyrus, the precuneus and the subcallosal gyrus. All WM areas with atrophy were near those GM areas that experienced volume loss. There was more volume atrophy in GM areas corresponding to WM areas with more volume loss. Atrophy increased with disease duration. CONCLUSION There is simultaneous atrophy in GM and WM, and the degree of atrophy is greater with longer disease duration. Different GM and WM areas have different sensitivities to olfactory injury. ADVANCES IN KNOWLEDGE This study examines the atrophy pattern in and between GM and WM-a subject that has not been widely researched previously.
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Affiliation(s)
- P Peng
- Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
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Wijesooriya K, Peng P, Read P, Pan T, Goode A, Judy P, Benedict S, Larner J. Novel Findings on 18F-FDG PET Uptake Distributions Within NSCLC Tumors. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.2325] [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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