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6 results on '"Wenshen Gu"'

1. A novel quantitative prognostic model for initially diagnosed non-small cell lung cancer with brain metastases

Author

Xiaohui Li, Wenshen Gu, Yijun Liu, Xiaoyan Wen, Liru Tian, Shumei Yan, and Shulin Chen

Subjects
Brain metastases, Non-small cell lung cancer, Prognostic model, Serum inflammatory indexes, LASSO-Cox regression analysis, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Cytology, QH573-671
Abstract

Abstract Background The prognosis of non-small cell lung cancer (NSCLC) with brain metastases (BMs) had been researched in some researches, but the combination of clinical characteristics and serum inflammatory indexes as a noninvasive and more accurate model has not been described. Methods We retrospectively screened patients with BMs at the initial diagnosis of NSCLC at Sun Yat-Sen University Cancer Center. LASSO-Cox regression analysis was used to establish a novel prognostic model for predicting OS based on blood biomarkers. The predictive accuracy and discriminative ability of the prognostic model was compared to Adjusted prognostic Analysis (APA), Recursive Partition Analysis (RPA), and Graded Prognostic Assessment (GPA) using concordance index (C-index), time-dependent receiver operating characteristic (td-ROC) curve, Decision Curve Analysis(DCA), net reclassification improvement index (NRI), and integrated discrimination improvement index (IDI). Results 10-parameter signature's predictive model for the NSCLC patients with BMs was established according to the results of LASSO-Cox regression analysis. The C-index of the prognostic model to predict OS was 0.672 (95% CI = 0.609 ~ 0.736) which was significantly higher than APA,RPA and GPA. The td-ROC curve and DCA of the predictive model also demonstrated good predictive accuracy of OS compared to APA, RPA and GPA. Moreover, NRI and IDI analysis indicated that the prognostic model had improved prediction ability compared with APA, RPA and GPA. Conclusion The novel prognostic model demonstrated favorable performance than APA, RPA, and GPA for predicting OS in NSCLC patients with BMs.

Published
2022
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2. Superiority of fecal carcinoembryonic antigen as diagnosis marker for adenomatous polyposis coli and asymptomatic colorectal cancer

Author

Linfang Li, Wenshen Gu, Xingping Wu, Yufeng Ao, Yiling Song, Xiaohui Li, and Qiuyao Zeng

Subjects
Diseases of the digestive system. Gastroenterology, RC799-869
Abstract

Background: Non-invasive diagnostic tools of adenomatous polyposis coli (APC) and asymptomatic colorectal cancer (CRC) are urgently needed. Although fecal carcinoembryonic antigen (FCEA) has been documented in some studies, the diagnostic potential for the detection of APC and asymptomatic CRC has not been described yet. Methods: This is a retrospective study. The pre-diagnostic serum carcinoembryonic antigen (SCEA) and fecal occult blood test (FOBT) levels were retrospectively analyzed in 212 patients with intestinal diseases group (IDG) and 224 controls. The levels of FCEA across all the studied groups were measured using electronic chemiluminescence immunoassay (ECLIA), and their sensitivity and specificity were used to evaluate their diagnostic potential. The individual diagnostic accuracy of the three indices, as well as their combined diagnostic potential, was compared using the receiver operating characteristic (ROC) curve and chi-square test. Results: The FCEA had low sensitivity (50%) and high specificity (93.91%) for the diagnosis of IDG, with the area under the curve (AUC) value of 0.781. The AUC of FCEA was higher than that of SCEA for the diagnosis of APC and CRC in the APC, asymptomatic CRC, and APC + CRC-stage I patients. The AUCs of FCEA were 0.708 and 0.691 for the ‘double-negative patients’ and ‘triple-negative patients’, respectively. In addition, FCEA could diagnose 45.5% of the ‘double-negative’ patients, 43.3% of the asymptomatic patients, and 42.9% of the ‘triple-negative’ patients. The combination of FCEA and FOBT improved the diagnostic value (AUC = 0.916). Conclusion: FCEA has been demonstrated to be a favorable diagnostic marker in intestinal diseases, especially in the APC, asymptomatic CRC, and ‘double-negative’ or ‘triple-negative’ CRC patients.

Published
2021
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3. Rapid Deployment and Application Exploration of the Mobile Shelter Laboratories Under T He Outbreak of COVID-19 Epidemic

Author

Yawen Deng, Wenshen Gu, Yi Luan, Xiaofan Zhang, Jie Wei, Qimei Fang, Chaohui Duan, Rui Ding, and Xinliang Chen

Subjects
Geography, Coronavirus disease 2019 (COVID-19), Software deployment, medicine, Outbreak, Medical emergency, medicine.disease
Abstract

Since the end of 2019, the COVID-19 epidemic has swept the world. With the widespread spread of the COVID-19 and the continuous emergence of mutated strains, the situation for the prevention and control of the COVID-19 epidemic remains severe. On May 21, 2021, Guangzhou City, Guangdong Province, notified the discovery of a new locally confirmed case. Guangzhou became the first city in mainland China to compete with the delta mutant strain. As a local hospital with strong nucleic acid detection capabilities, Sun Yat-sen University Sun Yat-sen Memorial Hospital took the lead in launching the construction and deployment of the Mobile Shelter Laboratories and large-scale screening work in Foshan and Zhanjiang, Guangdong Province. Through summarizing "practical" experience, observation and comparison data analysis, we use real data to verify a feasible solution for rapid expansion of detection capabilities in a short period of time. We hope that these experiences will have certain reference value for other countries or regions, especially the underdeveloped areas of medical and health care.

Published
2021

4. Automatic system for high-throughput and high-sensitivity diagnosis of SARS-CoV-2

Author

Jun Lu, Weihua Fan, Zihui Huang, Ke Fan, Jianhua Dong, Jisheng Qin, Jianzhong Luo, Zhizhong Zhang, Guodong Sun, Chaohui Duan, Kunyi Pan, Wenshen Gu, and Xiao Zhang

Subjects
Systems Analysis, SARS-CoV-2, SARS-CoV-2 diagnosis, Biomedical Engineering, COVID-19, Bioengineering, General Medicine, Equipment Design, Robotics, Sensitivity and Specificity, High-Throughput Screening Assays, COVID-19 Nucleic Acid Testing, High throughput, Humans, Clustered Regularly Interspaced Short Palindromic Repeats, Robotic system, Nucleic Acid Amplification Techniques, Pandemics, Algorithms, Biotechnology, Research Paper
Abstract

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has had severe consequences for health and the global economy. To control the transmission, there is an urgent demand for early diagnosis and treatment in the general population. In the present study, an automatic system for SARS-CoV-2 diagnosis is designed and built to deliver high specification, high sensitivity, and high throughput with minimal workforce involvement. The system, set up with cross-priming amplification (CPA) rather than conventional reverse transcription-polymerase chain reaction (RT-PCR), was evaluated using more than 1000 real-world samples for direct comparison. This fully automated robotic system performed SARS‐CoV‐2 nucleic acid-based diagnosis with 192 samples in under 180 min at 100 copies per reaction in a “specimen in data out” manner. This throughput translates to a daily screening capacity of 800–1000 in an assembly-line manner with limited workforce involvement. The sensitivity of this device could be further improved using a CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)-based assay, which opens the door to mixed samples, potentially include SARS-CoV-2 variants screening in extensively scaled testing for fighting COVID-19. Supplementary Information The online version contains supplementary material available at 10.1007/s00449-021-02674-9.

Published
2021

5. Clinical evaluation of dengue RNA, NS1, and IgM for diagnosis of dengue in Southern China

Author

Rui Chen, Xinliang Chen, Chaohui Duan, Weipeng Cai, Jian He, Haiyan Yan, Wenshen Gu, and Jiajia Li

Subjects
0301 basic medicine, Molecular epidemiology, business.industry, 030231 tropical medicine, 030106 microbiology, RNA, Outbreak, medicine.disease, Virology, law.invention, Dengue fever, 03 medical and health sciences, 0302 clinical medicine, Infectious Diseases, Real-time polymerase chain reaction, medicine.anatomical_structure, Southern china, law, White blood cell, Immunology, Medicine, business, Polymerase chain reaction
Abstract

In 2014, a large outbreak of dengue occurred in Guangzhou, China. This outbreak prompted us to evaluate NS1 and RNA for the early diagnosis of acute dengue infection, in addition to the combination with IgM antibody. We aimed to find the differences of three assays about dengue diagnosis. This study was an evaluation of diagnosis test. Based on WHO criteria 2009, dengue RNA, NS1, and IgM/IgG were detected from 294 patients (180 dengue patients, 114 non-dengue patients) by three diagnostic kits made in China. The χ2 test, sensitivity, and specificity were used in statistical analysis. The ratios of dengue patients with low platelet counts (

Published
2015

6. Clinical evaluation of dengue RNA, NS1, and IgM for diagnosis of dengue in Southern China

Author

Xinliang, Chen, Rui, Chen, Wenshen, Gu, Jian, He, Weipeng, Cai, Jiajia, Li, Chaohui, Duan, and Haiyan, Yan

Subjects
Adult, Aged, 80 and over, Male, China, Time Factors, Adolescent, Middle Aged, Viral Nonstructural Proteins, Antibodies, Viral, Sensitivity and Specificity, Dengue, Young Adult, Immunoglobulin M, Molecular Diagnostic Techniques, Child, Preschool, Humans, RNA, Viral, Female, Serologic Tests, Child, Antigens, Viral, Aged
Abstract

In 2014, a large outbreak of dengue occurred in Guangzhou, China. This outbreak prompted us to evaluate NS1 and RNA for the early diagnosis of acute dengue infection, in addition to the combination with IgM antibody. We aimed to find the differences of three assays about dengue diagnosis. This study was an evaluation of diagnosis test. Based on WHO criteria 2009, dengue RNA, NS1, and IgM/IgG were detected from 294 patients (180 dengue patients, 114 non-dengue patients) by three diagnostic kits made in China. The χ(2) test, sensitivity, and specificity were used in statistical analysis. The ratios of dengue patients with low platelet counts (100 × 10(9) /L 32.2%) or white blood cell counts (4.0 × 10(9) /L 58.9%) were significantly higher compared to non-dengue patients (P 0.05). Dengue NS1 was shown sensitive (93.9%) for diagnostic use. RNA had a better performance with 98.1% of sensitivity from day 1 to day 4 after illness onset. IgM performed better at day 5 or more with 74.0% of sensitivity. The diagnostic rate using a combination of RNA and IgM was 97.8% and 96.7% using NS1 and IgM. A patient with low platelet and white blood cell counts needs additional tests for dengue during an epidemic. RNA and NS1 were most valuable for early diagnosis of dengue, whereas IgM was best suited as a supplementary method for patients at day 5 or more after illness onset.

Published
2015

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