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Zhao T, Wei P, Zhang C, Zhou S, Liang L, Guo S, Yin Z, Cheng S, Gan Z, Xia Y, Zhang Y, Guo S, Zhong J, Yang Z, Tu F, Wang Q, Bai J, Ren F, Feng Z, Jia H. Nifuroxazide suppresses PD-L1 expression and enhances the efficacy of radiotherapy in hepatocellular carcinoma. eLife 2024; 12:RP90911. [PMID: 38441416 PMCID: PMC10942647 DOI: 10.7554/elife.90911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2024] Open
Abstract
Radiation therapy is a primary treatment for hepatocellular carcinoma (HCC), but its effectiveness can be diminished by various factors. The over-expression of PD-L1 has been identified as a critical reason for radiotherapy resistance. Previous studies have demonstrated that nifuroxazide exerts antitumor activity by damaging the Stat3 pathway, but its efficacy against PD-L1 has remained unclear. In this study, we investigated whether nifuroxazide could enhance the efficacy of radiotherapy in HCC by reducing PD-L1 expression. Our results showed that nifuroxazide significantly increased the sensitivity of tumor cells to radiation therapy by inhibiting cell proliferation and migration while increasing apoptosis in vitro. Additionally, nifuroxazide attenuated the up-regulation of PD-L1 expression induced by irradiation, which may be associated with increased degradation of PD-L1 through the ubiquitination-proteasome pathway. Furthermore, nifuroxazide greatly enhanced the efficacy of radiation therapy in H22-bearing mice by inhibiting tumor growth, improving survival, boosting the activation of T lymphocytes, and decelerating the ratios of Treg cells in spleens. Importantly, nifuroxazide limited the increased expression of PD-L1 in tumor tissues induced by radiation therapy. This study confirms, for the first time, that nifuroxazide can augment PD-L1 degradation to improve the efficacy of radiation therapy in HCC-bearing mice.
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Affiliation(s)
- Tiesuo Zhao
- Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical UniversityXinxiangChina
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
- Henan International Joint Laboratory of Immunity and Targeted Therapy for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Pengkun Wei
- Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical UniversityXinxiangChina
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
- Zhengzhou Central Hospital Affiliated to Zhengzhou UniversityZhengzhouChina
| | - Congli Zhang
- Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical UniversityXinxiangChina
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Shijie Zhou
- Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical UniversityXinxiangChina
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Lirui Liang
- Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical UniversityXinxiangChina
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Shuoshuo Guo
- Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical UniversityXinxiangChina
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Zhinan Yin
- The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan UniversityGuangzhouChina
| | - Sichang Cheng
- Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical UniversityXinxiangChina
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Zerui Gan
- Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical UniversityXinxiangChina
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Yuanling Xia
- Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical UniversityXinxiangChina
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Yongxi Zhang
- Department of Oncology, The Third Affiliated Hospital of Xinxiang Medical UniversityXinxiangChina
| | - Sheng Guo
- Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical UniversityXinxiangChina
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Jiateng Zhong
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Zishan Yang
- Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical UniversityXinxiangChina
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Fei Tu
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Qianqing Wang
- Department of Gynecology, Xinxiang Central HospitalXinxiangChina
- The Fourth Clinical College, Xinxiang Medical UniversityXinxiangChina
| | - Jin Bai
- Department of Gynecology, Xinxiang Central HospitalXinxiangChina
- The Fourth Clinical College, Xinxiang Medical UniversityXinxiangChina
| | - Feng Ren
- Henan International Joint Laboratory of Immunity and Targeted Therapy for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Zhiwei Feng
- Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical UniversityXinxiangChina
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
| | - Huijie Jia
- Xinxiang Engineering Technology Research Center of immune checkpoint drug for Liver-Intestinal Tumors, Xinxiang Medical UniversityXinxiangChina
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Zhang X, Long S, Liu R, Jiang P, Cui J, Wang Z. [Thinking on ideological and political education in Medical Parasitology teaching]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2024; 36:87-90. [PMID: 38604691 DOI: 10.16250/j.32.1374.2023206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
With the deepening reform of ideological and political education, Medical Parasitology teaching needs to update the teaching concept, change the teaching ideas, as well as keep trying to combine ideological and political education with the curriculum content closely. In addition to teaching students' basic knowledge and practical skills, teachers are needed to cultivate their moral literacy and political awareness through course teaching, so as to provide the basis for students' subsequent adaptations to social environments and jobs. Currently, the study of ideological and political education in Medical Parasitology teaching is still in the exploratory stage. Therefore, colleges and universities need to carry out effective construction of ideological and political education in Medical Parasitology teaching, in order to achieve good teaching outcomes and provide insights into ideological and political education in teaching.
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Affiliation(s)
- X Zhang
- Department of Pathogen Biology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - S Long
- Department of Pathogen Biology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - R Liu
- Department of Pathogen Biology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - P Jiang
- Department of Pathogen Biology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - J Cui
- Department of Pathogen Biology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Z Wang
- Department of Pathogen Biology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China
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Geng X, Zhao Q, Yuan H, Li HL, Guo CY, Yang T, Fan WJ, Park JH, Zhao XH, Zhu WB, Hu HT. The important role of whole-process computed tomography guidance for percutaneous gastrostomy in esophageal cancer patients who are unsuitable for or have had unsuccessful attempts with endoscopic and fluoroscopic gastrostomy. BMC Gastroenterol 2024; 24:14. [PMID: 38172745 PMCID: PMC10765879 DOI: 10.1186/s12876-023-03040-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 11/08/2023] [Indexed: 01/05/2024] Open
Abstract
PURPOSE To explore the value of clinical application with the whole process computed tomography (CT) guided percutaneous gastrostomy in esophageal tumor patients. MATERIALS AND METHODS A consecutive series of 32 esophageal tumor patients in whom endoscopic gastrostomy or fluoroscopy guided gastrostomy were considered too dangerous or impossible due to the esophagus complete obstruction, complicate esophageal mediastinal fistula, esophageal trachea fistula or severe heart disease. All of the 32 patients were included in this study from 2 medical center and underwent the gastrostomy under whole process CT guided. RESULTS All of the gastrostomy procedure was finished successfully under whole process CT guided and the technical success rate was 100%. The average time for each operation was 27 min. No serious complications occurred and the minor complications occurred in 3 patients, including local infection, severe hyperplasia of granulation tissue and tube dislodgment. There were no procedure related deaths. CONCLUSION The technical success rate of whole process CT guided percutaneous gastrostomy is high and the complication is low. This technique can be used feasible and effectively in some special patients.
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Affiliation(s)
- Xiang Geng
- Department of Minimally & Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, NO.127, Dongming Road, Zhengzhou, 450008, Henan Province, China
| | - Qing Zhao
- Department of Radiology, The Second People's Hospital of Jiaozuo, NO.17, Minzhu South Road, Jiaozuo, 454150, Henan Province, China
| | - Hang Yuan
- Department of Minimally & Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, NO.127, Dongming Road, Zhengzhou, 450008, Henan Province, China
| | - Hai-Liang Li
- Department of Minimally & Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, NO.127, Dongming Road, Zhengzhou, 450008, Henan Province, China
| | - Chen-Yang Guo
- Department of Minimally & Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, NO.127, Dongming Road, Zhengzhou, 450008, Henan Province, China
| | - Ting Yang
- Department of Radiology, The Second People's Hospital of Jiaozuo, NO.17, Minzhu South Road, Jiaozuo, 454150, Henan Province, China
| | - Wei-Jun Fan
- Department of Minimally & Invasive Intervention, Sun Yat-sen University Cancer Center, NO.651, Dongfeng east Road, Guangzhou, 510000, Guangdong Province, China
| | - Jung-Hoon Park
- Biomedical Engineering Rearch Center, Asan Institute for Life Sciences, Asan Medical Center, 88 Olympic-ro 43- gil, Seoul, 05505, Korea
| | - Xiao-Hui Zhao
- Department of Minimally & Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, NO.127, Dongming Road, Zhengzhou, 450008, Henan Province, China
| | - Wen-Bo Zhu
- Department of Minimally & Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, NO.127, Dongming Road, Zhengzhou, 450008, Henan Province, China
| | - Hong-Tao Hu
- Department of Minimally & Invasive Intervention, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, NO.127, Dongming Road, Zhengzhou, 450008, Henan Province, China.
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Lu S, Wang C, Liu Y, Chu F, Jia Z, Zhang H, Wang Z, Lu Y, Wang S, Yang G, Qu J. The MRI radiomics signature can predict the pathologic response to neoadjuvant chemotherapy in locally advanced esophageal squamous cell carcinoma. Eur Radiol 2024; 34:485-494. [PMID: 37540319 DOI: 10.1007/s00330-023-10040-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/26/2023] [Accepted: 06/19/2023] [Indexed: 08/05/2023]
Abstract
OBJECTIVES To investigate the MRI radiomics signatures in predicting pathologic response among patients with locally advanced esophageal squamous cell carcinoma (ESCC), who received neoadjuvant chemotherapy (NACT). METHODS Patients who underwent NACT from March 2015 to October 2019 were prospectively included. Each patient underwent esophageal MR scanning within one week before NACT and within 2-3 weeks after completion of NACT, prior to surgery. Radiomics features extracted from T2-TSE-BLADE were randomly split into the training and validation sets at a ratio of 7:3. According to the progressive tumor regression grade (TRG), patients were stratified into two groups: good responders (GR, TRG 0 + 1) and poor responders (non-GR, TRG 2 + 3). We constructed the Pre/Post-NACT model (Pre/Post-model) and the Delta-NACT model (Delta-model). Kruskal-Wallis was used to select features, logistic regression was used to develop the final model. RESULTS A total of 108 ESCC patients were included, and 3/2/4 out of 107 radiomics features were selected for constructing the Pre/Post/Delta-model, respectively. The selected radiomics features were statistically different between GR and non-GR groups. The highest area under the curve (AUC) was for the Delta-model, which reached 0.851 in the training set and 0.831 in the validation set. Among the three models, Pre-model showed the poorest performance in the training and validation sets (AUC, 0.466 and 0.596), and the Post-model showed better performance than the Pre-model in the training and validation sets (AUC, 0.753 and 0.781). CONCLUSIONS MRI-based radiomics models can predict the pathological response after NACT in ESCC patients, with the Delta-model exhibiting optimal predictive efficacy. CLINICAL RELEVANCE STATEMENT MRI radiomics features could be used as a useful tool for predicting the efficacy of neoadjuvant chemotherapy in esophageal carcinoma patients, especially in selecting responders among those patients who may be candidates to benefit from neoadjuvant chemotherapy. KEY POINTS • The MRI radiomics features based on T2WI-TSE-BLADE could potentially predict the pathologic response to NACT among ESCC patients. • The Delta-model exhibited the best predictive ability for pathologic response, followed by the Post-model, which similarly had better predictive ability, while the Pre-model performed less well in predicting TRG.
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Affiliation(s)
- Shuang Lu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Chenglong Wang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, 200062, China
| | - Yun Liu
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, 200062, China
| | - Funing Chu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Zhengyan Jia
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Hongkai Zhang
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Zhaoqi Wang
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Yanan Lu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Shuting Wang
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China
| | - Guang Yang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, 200062, China.
| | - Jinrong Qu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, No. 127 Dongming Road, Zhengzhou, 450008, Henan, China.
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Zhu L, Jin ML, He SR, Xu HM, Huang JW, Kong LF, Li DH, Hu JX, Wang XY, Jin YW, He H, Wang XY, Song YY, Wang XQ, Yang ZM, Hu AX. [Application and evaluation of artificial intelligence TPS-assisted cytologic screening system in urine exfoliative cytology]. Zhonghua Bing Li Xue Za Zhi 2023; 52:1223-1229. [PMID: 38058038 DOI: 10.3760/cma.j.cn112151-20230831-00115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
Objective: To explore the application of manual screening collaborated with the Artificial Intelligence TPS-Assisted Cytologic Screening System in urinary exfoliative cytology and its clinical values. Methods: A total of 3 033 urine exfoliated cytology samples were collected at the Henan People's Hospital, Capital Medical University, Beijing, China. Liquid-based thin-layer cytology was prepared. The slides were manually read under the microscope and digitally presented using a scanner. The intelligent identification and analysis were carried out using an artificial intelligence TPS assisted screening system. The Paris Report Classification System of Urinary Exfoliated Cytology 2022 was used as the evaluation standard. Atypical urothelial cells and even higher grade lesions were considered as positive when evaluating the recognition sensitivity, specificity, and diagnostic accuracy of artificial intelligence-assisted screening systems and human-machine collaborative cytologic screening methods in urine exfoliative cytology. Among the collected cases, there were also 1 100 pathological tissue controls. Results: The accuracy, sensitivity and specificity of the AI-assisted cytologic screening system were 77.18%, 90.79% and 69.49%; those of human-machine coordination method were 92.89%, 99.63% and 89.09%, respectively. Compared with the histopathological results, the accuracy, sensitivity and specificity of manual reading were 79.82%, 74.20% and 95.80%, respectively, while those of AI-assisted cytologic screening system were 93.45%, 93.73% and 92.66%, respectively. The accuracy, sensitivity and specificity of human-machine coordination method were 95.36%, 95.21% and 95.80%, respectively. Both cytological and histological controls showed that human-machine coordination review method had higher diagnostic accuracy and sensitivity, and lower false negative rates. Conclusions: The artificial intelligence TPS assisted cytologic screening system has achieved acceptable accuracy in urine exfoliation cytologic screening. The combination of manual screening and artificial intelligence TPS assisted screening system can effectively improve the sensitivity and accuracy of cytologic screening and reduce the risk of misdiagnosis.
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Affiliation(s)
- L Zhu
- Department of Pathology, Henan People's Hospital/Zhengzhou University People's Hospital; Zhengzhou 450003, China
| | - M L Jin
- Department of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - S R He
- Department of Pathology, Beijing Hospital, Beijing 100730, China
| | - H M Xu
- Department of Pathology, Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - J W Huang
- Department of Pathology, Luoyang Central Hospital, Luoyang 471000, China
| | - L F Kong
- Department of Pathology, Henan People's Hospital/Zhengzhou University People's Hospital; Zhengzhou 450003, China
| | - D H Li
- Department of Pathology, Henan People's Hospital/Zhengzhou University People's Hospital; Zhengzhou 450003, China
| | - J X Hu
- Department of Pathology, Henan People's Hospital/Zhengzhou University People's Hospital; Zhengzhou 450003, China
| | - X Y Wang
- Department of Pathology, Henan People's Hospital/Zhengzhou University People's Hospital; Zhengzhou 450003, China
| | - Y W Jin
- Department of Pathology, Henan People's Hospital/Zhengzhou University People's Hospital; Zhengzhou 450003, China
| | - H He
- Department of Pathology, Henan People's Hospital/Zhengzhou University People's Hospital; Zhengzhou 450003, China
| | - X Y Wang
- iDeepwise Artificial Intelligence Robot Technology (Beijing) Limited Company, Beijing 100089, China
| | - Y Y Song
- iDeepwise Artificial Intelligence Robot Technology (Beijing) Limited Company, Beijing 100089, China
| | - X Q Wang
- iDeepwise Artificial Intelligence Robot Technology (Beijing) Limited Company, Beijing 100089, China
| | - Z M Yang
- iDeepwise Artificial Intelligence Robot Technology (Beijing) Limited Company, Beijing 100089, China
| | - A X Hu
- Department of Pathology, Henan People's Hospital/Zhengzhou University People's Hospital; Zhengzhou 450003, China
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Meng Y, Song J, Yu X, Xu X, Zhang H. Design and evaluation of blended teaching in the smart classroom combined with virtual simulation training in basic nursing courses. BMC Med Educ 2023; 23:752. [PMID: 37821849 PMCID: PMC10568922 DOI: 10.1186/s12909-023-04721-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 09/25/2023] [Indexed: 10/13/2023]
Abstract
OBJECTIVE This study explored the application effect of smart classrooms combined with virtual simulation training in basic nursing courses for nursing undergraduates. METHODS In this quasi-experimental study, a total of 135 undergraduate nursing students in the 2021 matriculating cohort were selected as the research subjects. The experimental group of Class 1 had 71 students, and a blended teaching design utilizing a smart classroom and virtual simulation training was adopted. The control group of Class 2 had 64 students, and traditional lecture-based teaching design was adopted. After the course, the independent learning ability scale, test scores and teaching effectiveness questionnaire were used to evaluate the teaching effect. All tests had a maximum score of 100. RESULTS Nursing undergraduates in the experimental group had scores of 86.32 ± 8.25 for virtual simulation training and 84.82 ± 9.04 for peer-assisted learning. The scores of the theoretical examination, experimental examination, and subjective questions in the experimental group were significantly higher than those in the control group (P < 0.05). The approval rate of nursing undergraduates in the experimental group was significantly higher than that of the control group for four items (Ps < 0.05). Among the 71 students, most students (91.55%) claimed that the use of instructional designs increased the fun of the classroom. In addition to the dimension of information literacy, the total score of independent learning ability and the other three dimensions of the experimental group were significantly higher than those of the control group (P < 0.05). CONCLUSION The teaching design combining smart classrooms and virtual simulation training can be applied to realize online blended teaching and classroom informatization, improving the academic performance and independent learning ability of nursing undergraduates, and thus achieving good teaching effects.
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Affiliation(s)
- Ya Meng
- School of Medical, Huanghe Science and Technology College, Zhengzhou, 450000, China
| | - Jian Song
- School of Nursing, Jingzhou Vocational and Technical College, Jingzhou, 434020, China
| | - Xiaojing Yu
- College of Education, Soochow University, Suzhou, 215127, China
| | - Xiaoxia Xu
- The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, 450008, China
| | - Hao Zhang
- The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, 450008, China.
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Ren HY, He X, Lyu H, Huang HF, Liu YQ, Wei N, Zhang L, Li WC, Li HX. [Mammary myofibroblastoma: a clinicopathological analysis of fifteen cases]. Zhonghua Bing Li Xue Za Zhi 2023; 52:683-689. [PMID: 37408398 DOI: 10.3760/cma.j.cn112151-20221228-01075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
Objective: To investigate the clinicopathological features, diagnosis and differential diagnosis of breast myofibroblastoma. Methods: The clinicopathological data and prognostic information of 15 patients with breast myofibroblastoma diagnosed at the Department of Pathology of the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China from 2014 to 2022 were collected. Their clinical characteristics, histological subtypes, immunophenotypes and molecular characteristics were analyzed. Results: There were 12 female and 3 male patients, ranging in age from 18 to 78 years, with a median and average age of 52 years. There were 6 cases in the left breast and 9 cases in the right breast, including 12 cases in outer upper quadrant, 2 cases in inner upper quadrant and 1 case in outer lower quadrant. Most of the cases showed a well-defined nodule grossly, including pushing growth under the microscope in 13 cases, being completely separated from the surrounding breast tissue in 1 case, and infiltrating growth in 1 case. Among them, 12 cases were classic subtype and composed of occasional spindle cells with varying intervals of collagen fiber bundles; eight cases had a small amount of fat; one case had focal cartilage differentiation; one case was epithelioid subtype, in which epithelioid tumor cells were scattered in single filing or small clusters; one case was schwannoma-like subtype, and the tumor cells were arranged in a significant palisade shape, resembling schwannoma, and one case was invasive leiomyoma-like subtype, in which the tumor cells had eosinophilic cytoplasm and were arranged in bundles, and infiltrating into the surrounding mammary lobules like leiomyoma. Immunohistochemical studies showed that the tumor cells expressed desmin (14/15) and CD34 (14/15), as well as ER (15/15) and PR (15/15). Three cases with histologic subtypes of epithelioid subtype, schwannoma-like subtype and infiltrating leiomyoma-like subtype showed RB1 negative immunohistochemistry. Then FISH was performed to detect RB1/13q14 gene deletion, and identified RB1 gene deletion in all three cases. Fifteen cases were followed up for 2-100 months, and no recurrence was noted. Conclusions: Myofibroblastoma is a rare benign mesenchymal tumor of the breast. In addition to the classic type, there are many histological variants, among which the epithelioid subtype is easily confused with invasive lobular carcinoma. The schwannoma-like subtype is similar to schwannoma, while the invasive subtype is easily misdiagnosed as fibromatosis-like or spindle cell metaplastic carcinoma. Therefore, it is important to recognize the various histological subtypes and clinicopathological features of the tumor for making correct pathological diagnosis and rational clinical treatment.
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Affiliation(s)
- H Y Ren
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Department of Pathology, College of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450052, China
| | - X He
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Department of Pathology, College of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450052, China
| | - H Lyu
- Department of Pathology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - H F Huang
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Department of Pathology, College of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450052, China
| | - Y Q Liu
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Department of Pathology, College of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450052, China
| | - N Wei
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Department of Pathology, College of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450052, China
| | - L Zhang
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Department of Pathology, College of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450052, China
| | - W C Li
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Department of Pathology, College of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450052, China
| | - H X Li
- Department of Pathology, the First Affiliated Hospital of Zhengzhou University, Department of Pathology, College of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450052, China
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