1.Relationship between RUNX3 expression and precancerous gastric lesions in high-risk population
Wenqing LI ; Kaifeng PAN ; Yang ZHANG ; Lian ZHANG ; Junling MA ; Tong ZHOU ; Jiyou LI ; Zheng WANG ; Ying SU ; Weicheng YOU
Journal of Peking University(Health Sciences) 2004;0(03):-
Objective:To evaluate the association between RUNX3 expression and Helicobacter pylori(H.pylori)-associated precancerous gastric lesions.Methods: A population-based study was conducted in Linqu County,Shandong Province,a high-risk area of gastric cancer in China.RUNX3 expression was determined by immunohistochemistry analysis in 1 026 H.pylori infected subjects with different gastric lesions.Results: Among 1 026 subjects,359(35.0%,359/1 026) was positive.The prevalence rates of RUNX3 expression decreased steadily with severity of gastric lesions,65.6%(40/61) among those with superficial gastritis /normal(SG/N),and 22.4%(60/268) among those with dysplasia(DYS)(P
2.Experience of stroke prevention-Enlightenment for cancer research.
Weicheng YOU ; Email: WEICHENGYOU@YAHOO.COM.
Chinese Journal of Preventive Medicine 2015;49(8):673-674
Cancer, stroke and heart diseases are most common causes of death. This paper summarized the experience of stroke prevention, which is an enlightenment for cancer research. In addition, this paper also described the progress of cancer epidemiological research, particular the primary and second preventions in China.
Biomedical Research
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trends
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China
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Humans
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Neoplasms
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prevention & control
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Stroke
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prevention & control
3.Research progress in the molecular epidemiology of gastric cancer
Sha HUANG ; Jin DAI ; Juanjuan GAO ; Weicheng YOU ; Kaifeng PAN ; Wenqing LI
Chinese Journal of Clinical Oncology 2019;46(1):16-21
Gastric cancer is a malignant tumor characterized by high morbidity and mortality. With the development of molecular biol-ogy technology and the emergence of various new omics detection techniques in recent years, molecular epidemiologists of gastric cancer have conducted extensive studies on the genetic and host factors, as well as gene-environment interactions associated with ex-posure to environmental factors in gastric cancer. In addition, epidemiologists have studied the evolution of precancerous gastric le-sions, the development of gastric cancer, and explored relevant biomarkers to provide major evidence for the prevention and control of gastric cancer. This review summarizes the latest advances in the molecular epidemiology of gastric cancer, including existing evi-dence in studies for candidate-approach-based serum/plasma biomarkers, genome-wide association, whole-exome sequencing, tissue microarrays, as well as studies on metabolomics and microbiomes. We expect to provide insights into the future of molecular epidemi-ology studies in gastric cancer, promoting etiologic research, and the precise prevention and control of gastric cancer.
4.The risk of incident gastric cancer for populations with different precancerous gastric lesions: a prospective follow-up study
Xiuzhen WU ; Zongchao LIU ; Xiangxiang QIN ; Yi LI ; Lanfu ZHANG ; Zhexuan LI ; Yang ZHANG ; Tong ZHOU ; Jingying ZHANG ; Weidong LIU ; Weicheng YOU ; Kaifeng PAN ; Wenqing LI
Chinese Journal of Epidemiology 2022;43(12):1972-1978
Objective:To provide evidence for optimizing the screening strategy for gastric cancer (GC), we evaluated the risk of incident GC for individuals with different precancerous gastric lesions in a prospective cohort study.Methods:Based on the National Upper Gastrointestinal Cancer Early Detection Program launched in Linqu, Shandong, a high-risk area of gastric cancer in China, we included a total of 14 087 subjects diagnosed with different gastric lesions stages by endoscopic screening from 2012 to 2018. Study subjects were prospectively followed up until December 31, 2019. The incidence of GC during the follow-up was ascertained by repeated endoscopic examinations, cancer, death registry reports, and active follow-up of study subjects and was confirmed by reviewing medical records extracted from the hospital information management system. The Poisson regression model was applied to calculate the relative risk ( RR) and 95% CI for GC occurrence among subjects with different gastric lesions. Results:Among 14 087 subjects with different gastric lesions as determined by their first endoscopic examination in 2012-2018, 7 608 (54.00%) had a global diagnosis of superficial gastritis (SG), 2 848 (20.22%) had chronic atrophic gastritis (CAG), 3 103 (22.03%) had intestinal metaplasia (IM), and 520 (3.69%) had low-grade intestinal neoplasia (LGIN). During the follow-up, 109 subjects were diagnosed with GC, including 63 with high-grade intestinal neoplasia (HGIN) and 46 with invasive GC. Compared to subjects having normal gastric mucosa or SG, those with CAG ( RR=3.85, 95% CI: 2.04-7.28), IM ( RR=5.18, 95% CI: 2.79-9.60), and LGIN ( RR=19.08, 95% CI: 9.97-36.53) had significantly increased risk of progression to GC. Individuals with these gastric lesions had an elevated risk of developing HGIN and invasive GC. For subjects with LGIN, the RR was 22.96 (95% CI: 9.71-54.27) for developing HGIN and 14.64 (95% CI: 5.37-39.93) for developing invasive GC. Subgroup analyses found that all age group subjects with LGIN diagnosed during the initial endoscopic examination had a significantly increased risk of developing the GC. Conclusions:Our large-scale prospective study on a high-risk area of GC showed that most residents aged 40-69 years had gastric lesions of different stages. Subjects with more advanced gastric lesions had a significantly increased risk of progression to GC.
5.Experience of stroke prevention-Enlightenment for cancer research
Chinese Journal of Preventive Medicine 2015;(8):673-674
Cancer, stroke and heart diseases are most common causes of death. This paper summarized the experience of stroke prevention, which is an enlightenment for cancer research. In addition, this paper also described the progress of cancer epidemiological research, particular the primary and second preventions in China.
6.Random survival forest: applying machine learning algorithm in survival analysis of biomedical data
Zhe CHEN ; Hengmin XU ; Zhexuan LI ; Yang ZHANG ; Tong ZHOU ; Weicheng YOU ; Kaifeng PAN ; Wenqing LI
Chinese Journal of Preventive Medicine 2021;55(1):104-109
Traditional survival methods have a wide application in the field of biomedical research. However, applying traditional survival methods requires data to meet a set of special assumptions while the Random Survival Forest model can overcome this inconvenience. Herein, we used the clinical data of Primary Biliary Cholangitis (PBC) from Mayo Clinic to introduce and demonstrate Random Survival Forest model from mathematical principles, model building, practical example and attentions, aiming to provide a novel method for doing survival analysis.
7.Urine proteomics signatures associated with alcohol drinking among residents attending the National Upper Gastrointestinal Cancer Early Detection Program in Linqu, Shandong province
Hua FAN ; Xue LI ; Nairen ZHENG ; Sha HUANG ; Tong ZHOU ; Zhexuan LI ; Yang ZHANG ; Jingying ZHANG ; Weicheng YOU ; Kaifeng PAN ; Wenqing LI
Chinese Journal of Preventive Medicine 2021;55(9):1139-1144
The liquid chromatography tandem mass spectrometry was used to detect the urinary proteomics of 223 residents aged 40-69 years old who participated in the National Upper Gastrointestinal Cancer Early Detection Program in Linqu County, Shandong Province from November 22 to December 7, 2018, and analyze the alcohol consumption related proteomic profiles and individual urinary protein. There were significant differences in urinary protein profiles between alcohol consumption group and non-alcohol consumption group. The expression of 26 urinary proteins was up-regulated and 20 urinary proteins were down-regulated in alcohol consumption group ( P<0.05). The differentially expressed proteins had enzyme inhibitor activity and phospholipid binding function, and mainly enriched in pathways involving proximal tubule bicarbonate regeneration, complement and coagulation cascade, and cholesterol metabolism. The protein expressions of complement factor I (CFI), angiotensin converting enzyme 2 (ACE2) and protein C inhibitor (SERPINA5) were positively correlated with daily alcohol consumption.
8.Experience of stroke prevention-Enlightenment for cancer research
Chinese Journal of Preventive Medicine 2015;(8):673-674
Cancer, stroke and heart diseases are most common causes of death. This paper summarized the experience of stroke prevention, which is an enlightenment for cancer research. In addition, this paper also described the progress of cancer epidemiological research, particular the primary and second preventions in China.
9.Random survival forest: applying machine learning algorithm in survival analysis of biomedical data
Zhe CHEN ; Hengmin XU ; Zhexuan LI ; Yang ZHANG ; Tong ZHOU ; Weicheng YOU ; Kaifeng PAN ; Wenqing LI
Chinese Journal of Preventive Medicine 2021;55(1):104-109
Traditional survival methods have a wide application in the field of biomedical research. However, applying traditional survival methods requires data to meet a set of special assumptions while the Random Survival Forest model can overcome this inconvenience. Herein, we used the clinical data of Primary Biliary Cholangitis (PBC) from Mayo Clinic to introduce and demonstrate Random Survival Forest model from mathematical principles, model building, practical example and attentions, aiming to provide a novel method for doing survival analysis.
10.Urine proteomics signatures associated with alcohol drinking among residents attending the National Upper Gastrointestinal Cancer Early Detection Program in Linqu, Shandong province
Hua FAN ; Xue LI ; Nairen ZHENG ; Sha HUANG ; Tong ZHOU ; Zhexuan LI ; Yang ZHANG ; Jingying ZHANG ; Weicheng YOU ; Kaifeng PAN ; Wenqing LI
Chinese Journal of Preventive Medicine 2021;55(9):1139-1144
The liquid chromatography tandem mass spectrometry was used to detect the urinary proteomics of 223 residents aged 40-69 years old who participated in the National Upper Gastrointestinal Cancer Early Detection Program in Linqu County, Shandong Province from November 22 to December 7, 2018, and analyze the alcohol consumption related proteomic profiles and individual urinary protein. There were significant differences in urinary protein profiles between alcohol consumption group and non-alcohol consumption group. The expression of 26 urinary proteins was up-regulated and 20 urinary proteins were down-regulated in alcohol consumption group ( P<0.05). The differentially expressed proteins had enzyme inhibitor activity and phospholipid binding function, and mainly enriched in pathways involving proximal tubule bicarbonate regeneration, complement and coagulation cascade, and cholesterol metabolism. The protein expressions of complement factor I (CFI), angiotensin converting enzyme 2 (ACE2) and protein C inhibitor (SERPINA5) were positively correlated with daily alcohol consumption.