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2 results on '"Zhen-Chuan Xing"'

1. The value of computed tomography-based radiomics for predicting malignant pleural effusions

Author

Zhen-Chuan Xing, Hua-Zheng Guo, Zi-Liang Hou, Hong-Xia Zhang, and Shuai Zhang

Subjects
radiomics, pleural effusion, x-ray computed tomography, cancer, machine learning, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

BackgroundMalignant pleural effusion (MPE) is a common clinical problem that requires cytological and/or histological confirmation obtained by invasive examination to establish a definitive diagnosis. Radiomics is rapidly evolving and can provide a non-invasive tool to identify MPE.ObjectivesWe aimed to develop a model based on radiomic features extracted from unenhanced chest computed tomography (CT) images and investigate its value in predicting MPE.MethodThis retrospective study included patients with pleural effusions between January 2016 and June 2020. All patients underwent a chest CT scanning and medical thoracoscopy after artificial pneumothorax. Cases were divided into a training cohort and a test cohort for modelling and verifying respectively. The Mann-Whitney U test and the least absolute shrinkage and selection operator (LASSO) were applied to determine the optimal features. We built a radiomics model based on support vector machines (SVM) and evaluated its performance using ROC and calibration curve analysis.ResultsTwenty-nine patients with MPE and fifty-two patients with non-MPE were enrolled. A total of 944 radiomic features were quantitatively extracted from each sample and reduced to 14 features for modeling after selection. The AUC of the radiomics model was 0.96 (95% CI: 0.912-0.999) and 0.86 (95% CI: 0.657~1.000) in the training and test cohorts, respectively. The calibration curves for model were in good agreement between predicted and actual data.ConclusionsThe radiomics model based on unenhanced chest CT has good performance for predicting MPE and may provide a powerful tool for doctors in clinical decision-making.

Published
2024
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2. Microarray Expression Profile and Analysis of Circular RNA Regulatory Network in Pulmonary Thromboembolism

Author

Hongxia Zhang, Jin-Xiang Wang, Shu-Ming Zhang, Zi-Liang Hou, Kai-Yuan Yang, Shuai Zhang, Zhen-Chuan Xing, Dan Peng, Yuan Yuan, and Rui-Yan Lin

Subjects
Spliceosome, Messenger RNA, Microarray, Competing endogenous RNA, business.industry, Microarray analysis techniques, circRNA-miRNA-mRNA network, International Journal of General Medicine, General Medicine, Computational biology, 030204 cardiovascular system & hematology, Gene expression profiling, 03 medical and health sciences, 0302 clinical medicine, Circular RNA, 030220 oncology & carcinogenesis, Medicine, circRNA, pulmonary thromboembolism, business, gene, Gene, functional enrichment, Original Research
Abstract

Dan Peng, Zi-Liang Hou, Hong-Xia Zhang, Shuai Zhang, Shu-Ming Zhang, Rui-Yan Lin, Zhen-Chuan Xing, Yuan Yuan, Kai-Yuan Yang, Jin-Xiang Wang Department of Respiratory and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, People’s Republic of ChinaCorrespondence: Jin-Xiang WangDepartment of Respiratory and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Xinhuananlu No. 82, Tongzhou District, Beijing, 101100, People’s Republic of ChinaEmail jinxiangwang@ccmu.edu.cnBackground: Pulmonary thromboembolism (PTE) is a common disease which may be a serious condition and has high mortality. Recently, it has been shown that circRNAs play an important role in the development of various diseases, including thromboembolic disease. However, circRNAs expression profiling is not clear in PTE, this study aims to identify the circRNAs expressed in PTE and to elucidate their possible role in pathophysiology of PTE.Methods: A total of 5 patients with CTPA-confirmed PTE and 5 healthy controls were recruited for the present study. The circRNAs expression profile was analyzed by microarray.Results: In total, 256 differentially expressed circRNAs (up 142, down114) and 1162 mRNA (up 446, down 716) were summarized by analyzing the circRNAs microarray data. The top 3 up-regulated and 3 down-regulated circRNAs were validated by Real-Time Polymerase Chain Reaction (qRT-PCR). Two differentially expressed circRNAs (hsa_circ_0000891, hsa_circ_0043506) were selected for further analysis. Finally, we construct a circRNA-miRNA-mRNA ceRNA network with a bioinformatic prediction tool. Pathway analysis shows that the enriched mRNAs targets take part in Protein processing in endoplasmic reticulum, Systemic lupus erythematosus, Endocytosis, Spliceosome, HTLV-I infection and Ubiquitin mediated proteolysis.Conclusion: Our findings indicated that aberrantly expressed circRNAs (hsa_circ_0000891, hsa_circ_0043506) may be involved in the development of PTE.Keywords: circRNA, gene, pulmonary thromboembolism, circRNA-miRNA-mRNA network, functional enrichment

Published
2021

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