Search

Your search keyword '"Ji, Jianguang"' showing total 679 results
Start Over Author "Ji, Jianguang"
679 results on '"Ji, Jianguang"'

4. SSRI antidepressant citalopram reverses the Warburg effect to inhibit hepatocellular carcinoma by directly targeting GLUT1

Author

Dong, Fangyuan, He, Kang, Zhang, Shan, Song, Kaiyuan, Jiang, Luju, Hu, Li-Peng, Li, Qing, Zhang, Xue-Li, Zhang, Naiqi, Li, Bo-Tai, Zhu, Li-Li, Li, Jun, Feng, Mingxuan, Gao, Yunchen, Chen, Jie, Hu, Xiaona, Wang, Jiaofeng, Jiang, Chongyi, Wang, Cun, Zhu, Helen He, Da, Lin-Tai, Ji, Jianguang, Zhang, Zhi-Gang, Bao, Zhijun, and Jiang, Shu-Heng

Published
2024
Full Text
View/download PDF

21. Cancer Epidemiology in China: What We Have Learnt So Far?

Author

Ji, Jianguang, Chen, Tianhui, Ji, Jianguang, Liu, Hao, and Shu, Xiaochen

Subjects
Medicine, Oncology, China, cancer burden in China, cancer epidemiology, cancer mortality, public health
Abstract

Summary: After several decades of development, the socialist market economy of China is now the world's second largest economy by nominal GDP. China is also the largest economy by purchasing power parity according to the International Monetary Fund. In tandem with the development of the Chinese economy, China's cancer burden is rising rapidly due to an ageing population and the adoption of unhealthy lifestyle behaviours. According to the data from the National Central Cancer Registry (NCCR) of China, the incidence and mortality of cancer have been increasing rapidly in China. In recent years, cancer has been the leading cause of death among city residents and the second cause of death among rural residents, which has become a stark public health issue in China. According to the NCCR, an estimated 4.29 million new incident cases (12 thousand per day) and 2.81 million death cases (7.5 thousand per day) would occur in 2015 in China. This corresponds to the age-standardized incidence rate (ASIR) of 201.1 per 100,000 and age-standardized mortality rate (ASMR) of 126.9 per 100,000, respectively. Due to the geographical and ethnical disparities in living habits and healthcare level, the cancer spectrum differs between different regions and ethnical groups in China. According to the estimation from IARC, the incidence of nasopharyngeal carcinoma and liver cancer is the world's highest in specific regions of China. The incidence of some cancer types in Chinese urban areas, such as colorectal, prostate, kidney and bladder cancers, is similar to that in developed countries or regions where the incidence of cancer is highly associated with obesity and westernised lifestyles. Nevertheless, the incidence of some common cancer types in rural areas, including oesophageal, stomach, liver and cervical cancers, shares similarity with less developed countries or regions in the world where cancers are associated with chronic infectious agents due to poverty. In addition, the mortality rate is higher in rural areas, which suggests a poorer cancer prognosis due to late diagnosis and/or unsatisfying clinical treatment. The distinct cancer patterns of different regions and/or ethnic groups indicate a need for precise cancer prevention and control plans tailored for different geographical regions and/or ethnic groups. The overarching goal of the proposed Frontiers in Oncology Research Topic is to present current perspectives on cancer epidemiology in Chinese characteristics and provide current knowledge of cancer burden as well as cancer mortality to academic investigators, clinicians and stakeholders from the translational, clinical and public health communities.

22. Development and validation of a machine learning‐based model to predict isolated post‐challenge hyperglycemia in middle‐aged and elder adults: Analysis from a multicentric study.

Author

Hou, Rui, Dou, Jingtao, Wu, Lijuan, Zhang, Xiaoyu, Li, Changwei, Wang, Weiqing, Gao, Zhengnan, Tang, Xulei, Yan, Li, Wan, Qin, Luo, Zuojie, Qin, Guijun, Chen, Lulu, Ji, Jianguang, He, Yan, Wang, Wei, Mu, Yiming, and Zheng, Deqiang

Subjects
ARTIFICIAL neural networks, MIDDLE-aged persons, MACHINE learning, HYPERGLYCEMIA, GLUCOSE tolerance tests
Abstract

Introduction: Due to the high cost and complexity, the oral glucose tolerance test is not adopted as the screening method for identifying diabetes patients, which leads to the misdiagnosis of patients with isolated post‐challenge hyperglycemia (IPH), that is., patients with normal fasting plasma glucose (<7.0 mmoL/L) and abnormal 2‐h postprandial blood glucose (≥11.1 mmoL/L). We aimed to develop a model to differentiate individuals with IPH from the normal population. Methods: Data from 54301 eligible participants were obtained from the Risk Evaluation of Cancers in Chinese Diabetic Individuals: a longitudinal (REACTION) study in China. Data from 37740 participants were used to develop the diagnostic system. External validation was performed among 16561 participants. Three machine learning algorithms were used to create the predictive models, which were further evaluated by various classification algorithms to establish the best predictive model. Results: Ten features were selected to develop an IPH diagnosis system (IPHDS) based on an artificial neural network. In external validation, the AUC of the IPHDS was 0.823 (95% CI 0.811–0.836), which was significantly higher than the AUC of the Taiwan model [0.799 (0.786–0.813)] and that of the Chinese Diabetes Risk Score model [0.648 (0.635–0.662)]. The IPHDS model had a sensitivity of 75.6% and a specificity of 74.6%. This model outperformed the Taiwan and CDRS models in subgroup analyses. An online site with instant predictions was deployed at https://app‐iphds‐e1fc405c8a69.herokuapp.com/. Conclusions: The proposed IPHDS could be a convenient and user‐friendly screening tool for diabetes during health examinations in a large general population. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

23. Revealing genes associated with cervical cancer in distinct immune cells: A comprehensive Mendelian randomization analysis.

Author

Li, Ning, Yi, Huan, Sun, Wen, Sundquist, Jan, Sundquist, Kristina, Zhang, Xiaoyu, Zheng, Deqiang, and Ji, Jianguang

Subjects
CERVICAL cancer, GENOME-wide association studies, LOCUS (Genetics), HUMAN papillomavirus, FALSE discovery rate
Abstract

Human papillomavirus can be contracted by sexually active women. However, only a small proportion of these infections persist and have the potential to progress into cervical cancers, indicating a significant involvement of the immune system in cervical cancer development. Despite this, our understanding of the precise contributions of genes from different immune cell types in cervical cancers remains limited. Therefore, the primary objective of our study was to investigate the potential causal relationships between specific immune cell genes and the development of cervical cancers. By accessing expression quantitative trait loci datasets of 14 distinct immune cell types and genome wide association study of cervical cancers, we employed the summary data‐based Mendelian randomization (SMR) along with multi‐single nucleotide polymorphism (SNP)‐based SMR to identify significant genes associated with cervical cancers. Colocalization analysis was further conducted to explore the shared genetic causality. A total of 10 genes across 11 immune cell types (26 significant gene‐trait associations) were found to be associated with cervical cancers after false discovery rate correction. Notably, the ORMDL3, BRK1 and HMGN1 gene expression levels showed significant association with cervical cancer in specific immune cell types, respectively. These associations were supported by strong evidence of colocalization analyses. Our study has identified several genes in different immune cells that were associated with cervical cancer. However, further research is necessary to confirm these findings and provide more comprehensive insights into the association between these gene expressions and cervical cancer risk. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

26. Long-Term Outcomes after Cervical Cold Knife and Loop Electrosurgical Excision Procedure Conization: Insights from a Multicenter Chinese Database and Swedish Nationwide Cohort Study

Author

Yi, Huan, primary, Liu, Yishan, additional, Chen, Xiaohong, additional, Zheng, Hui, additional, Zhang, Yulong, additional, Huang, jimiao, additional, Liu, Shihuang, additional, Chen, Yusha, additional, Chen, Fulian, additional, Hong, Qiuhua, additional, Zhang, Shaoyu, additional, Shi, Feifeng, additional, Sundquist, Jan, additional, Sundquist, Kristina, additional, Yang, Yan, additional, Chen, Jiancui, additional, Zheng, Xiangqin, additional, and Ji, Jianguang, additional

Published
2024
Full Text
View/download PDF

44. Additional file 1 of Glucagon-like peptide-1 receptor agonists and diabetic retinopathy: nationwide cohort and Mendelian randomization studies

Author

Zheng, Deqiang, Li, Ning, Hou, Rui, Zhang, Xiaoyu, Wu, Lijuan, Sundquist, Jan, Sundquist, Kristina, and Ji, Jianguang

Abstract

Additional file 1: Table S1. Diagnosis codes to assist in identifying type 2 diabetes. Table S2. Prescription codes to assist in identifying anti-diabetic drugs. Table S3. Diagnosis codes to assist in identifying other types of diabetes excluding type 2 diabetes. Table S4. Diagnosis codes to assist in identifying pre-existing conditions that could disqualify patients for study eligibility. Table S5. Diagnosis codes to assist in identifying retinal disorders. Table S6. Detailed information of eQTL and GWAS summary data in SMR analyses. Table S7. Diagnosis codes to assist in identifying baseline hypertension and CVD. Table S8. Hazard ratios and 95% confidence intervals for the GLP-1 RAs group versus nonusers from fully-adjusted Cox models for DR for five iterations of index date random sampling. Figure S1. Matched cohort design. Figure S2. Hazard ratios and 95% confidence intervals for the GLP-1 RAs group versus nonusers from fully-adjusted Cox models for DR for five iterations of index date random sampling. Figure S3. The association of a 1-SD increase of GLP1R gene expression in pancreas tissue with the risk of DR using SMR method.

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results