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5. A comprehensive predictive model for radiation-induced brain injury in risk stratification and personalized radiotherapy of nasopharyngeal carcinoma

Author

He, Yong-Qiao, Wang, Tong-Min, Yang, Da-Wei, Xue, Wen-Qiong, Deng, Chang-Mi, Li, Dan-Hua, Zhang, Wen-Li, Liao, Ying, Xiao, Ruo-Wen, Luo, Lu-Ting, Diao, Hua, Tong, Xia-Ting, Wu, Yan-Xia, Chen, Xue-Yin, Zhang, Jiang-Bo, Zhou, Ting, Li, Xi-Zhao, Zhang, Pei-Fen, Zheng, Xiao-Hui, Zhang, Shao-Dan, Hu, Ye-Zhu, Zhou, Guan-Qun, Ma, Jun, Sun, Ying, and Jia, Wei-Hua

Published
2024
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6. High-throughput identification of regulatory elements and functional assays to uncover susceptibility genes for nasopharyngeal carcinoma

Author

Wang, Tong-Min, Xiao, Ruo-Wen, He, Yong-Qiao, Zhang, Wen-Li, Diao, Hua, Tang, Minzhong, Mai, Zhi-Ming, Xue, Wen-Qiong, Yang, Da-Wei, Deng, Chang-Mi, Liao, Ying, Zhou, Ting, Li, Dan-Hua, Wu, Yan-Xia, Chen, Xue-Yin, Zhang, Jiangbo, Li, Xi-Zhao, Zhang, Pei-Fen, Zheng, Xiao-Hui, Zhang, Shao-Dan, Hu, Ye-Zhu, Cai, Yonglin, Zheng, Yuming, Zhang, Zhe, Zhou, Yifeng, Jin, Guangfu, Bei, Jinxin, Mai, Hai-Qiang, Sun, Ying, Ma, Jun, Hu, Zhibin, Liu, Jianjun, Lung, Maria Li, Adami, Hans-Olov, Ye, Weimin, Lam, Tai-Hing, Shen, Hongbing, and Jia, Wei-Hua

Published
2023
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8. A polygenic risk score for nasopharyngeal carcinoma shows potential for risk stratification and personalized screening

Author

He, Yong-Qiao, Wang, Tong-Min, Ji, Mingfang, Mai, Zhi-Ming, Tang, Minzhong, Wang, Ruozheng, Zhou, Yifeng, Zheng, Yuming, Xiao, Ruowen, Yang, Dawei, Wu, Ziyi, Deng, Changmi, Zhang, Jiangbo, Xue, Wenqiong, Dong, Siqi, Zhan, Jiyun, Cai, Yonglin, Li, Fugui, Wu, Biaohua, Liao, Ying, Zhou, Ting, Zheng, Meiqi, Jia, Yijing, Li, Danhua, Cao, Lianjing, Yuan, Leilei, Zhang, Wenli, Luo, Luting, Tong, Xiating, Wu, Yanxia, Li, Xizhao, Zhang, Peifen, Zheng, Xiaohui, Zhang, Shaodan, Hu, Yezhu, Qin, Weiling, Deng, Bisen, Liang, Xuejun, Fan, Peiwen, Feng, Yaning, Song, Jia, Xie, Shang-Hang, Chang, Ellen T., Zhang, Zhe, Huang, Guangwu, Xu, Miao, Feng, Lin, Jin, Guangfu, Bei, Jinxin, Cao, Sumei, Liu, Qing, Kozlakidis, Zisis, Mai, Haiqiang, Sun, Ying, Ma, Jun, Hu, Zhibin, Liu, Jianjun, Lung, Maria Li, Adami, Hans-Olov, Shen, Hongbing, Ye, Weimin, Lam, Tai-Hing, Zeng, Yi-Xin, and Jia, Wei-Hua

Published
2022
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9. Detection of Epstein‒Barr virus DNA methylation as tumor markers of nasopharyngeal carcinoma patients in saliva, oropharyngeal swab, oral swab, and mouthwash.

Author

Zheng, Xiao‐Hui, Li, Xi‐Zhao, Tang, Cao‐Li, Zhang, Yu‐Meng, Zhou, Ting, Yang, Xiao‐Jing, Liao, Ying, He, Yong‐Qiao, Wang, Tong‐Min, Xue, Wen‐Qiong, and Jia, Wei‐Hua

Subjects
ONCOGENIC DNA viruses, EPSTEIN-Barr virus, NASOPHARYNX cancer, TUMOR markers, DEGLUTITION, SALIVA
Abstract

Saliva biopsy of nasopharyngeal carcinoma (NPC) has been developed in our latest study, indicating the application of oral sampling in NPC detection. Further exploration of the potential for self‐sampling from the oral cavity is necessary. A total of 907 various samples from oral cavity, including saliva (n = 262), oropharyngeal swabs (n = 250), oral swabs (n = 210), and mouthwash (n = 185), were collected. Epstein‒Barr virus (EBV) DNA methylation at the 12,420 bp CpG site in EBV genome from the repeat‐copy W promoter (Wp) region and at the 11,029 bp CpG site in the single‐copy C promoter (Cp) region were simultaneously detected in these samples. A significant increase in EBV methylation, no matter at Wp or Cp region, was found in all types of samples from NPC patients. However, EBV DNA methylation in saliva and oropharyngeal swab showed a better diagnostic performance in detecting NPC. The combination of these two sample types and two markers could help to improve the detection of NPC. Our study further explored the optimal self‐sampling methods and detection target in the detection of NPC and may facilitate the application of EBV DNA methylation detection in a home‐based large‐scale screening of NPC. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Identification of risk loci and a polygenic risk score for lung cancer: a large-scale prospective cohort study in Chinese populations

Author

Dai, Juncheng, Lv, Jun, Zhu, Meng, Wang, Yuzhuo, Qin, Na, Ma, Hongxia, He, Yong-Qiao, Zhang, Ruoxin, Tan, Wen, Fan, Jingyi, Wang, Tianpei, Zheng, Hong, Sun, Qi, Wang, Lijuan, Huang, Mingtao, Ge, Zijun, Yu, Canqing, Guo, Yu, Wang, Tong-Min, Wang, Jie, Xu, Lin, Wu, Weibing, Chen, Liang, Bian, Zheng, Walters, Robin, Millwood, Iona Y, Li, Xi-Zhao, Wang, Xin, Hung, Rayjean J, Christiani, David C, Chen, Haiquan, Wang, Mengyun, Wang, Cheng, Jiang, Yue, Chen, Kexin, Chen, Zhengming, Jin, Guangfu, Wu, Tangchun, Lin, Dongxin, Hu, Zhibin, Amos, Christopher I, Wu, Chen, Wei, Qingyi, Jia, Wei-Hua, Li, Liming, and Shen, Hongbing

Published
2019
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12. The interaction and mediation effects between the host genetic factors and Epstein–Barr virus VCA‐IgA in the risk of nasopharyngeal carcinoma

Author

Diao, Hua, primary, Xue, Wen‐Qiong, additional, Wang, Tong‐Min, additional, Yang, Da‐Wei, additional, Deng, Chang‐Mi, additional, Li, Dan‐Hua, additional, Zhang, Wen‐Li, additional, Liao, Ying, additional, Wu, Yan‐Xia, additional, Chen, Xue‐Yin, additional, Zhou, Ting, additional, Li, Xi‐Zhao, additional, Zhang, Pei‐Fen, additional, Zheng, Xiao‐Hui, additional, Zhang, Shao‐Dan, additional, Hu, Ye‐Zhu, additional, Cao, Su‐Mei, additional, Liu, Qing, additional, Ye, Wei‐Min, additional, He, Yong‐Qiao, additional, and Jia, Wei‐Hua, additional

Published
2023
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20. Oral Microbiota Alteration and Roles in Epstein-Barr Virus Reactivation in Nasopharyngeal Carcinoma

Author

Liao, Ying, primary, Zhang, Jiang-Bo, additional, Lu, Li-Xia, additional, Jia, Yi-Jing, additional, Zheng, Mei-Qi, additional, Debelius, Justine W., additional, He, Yong-Qiao, additional, Wang, Tong-Min, additional, Deng, Chang-Mi, additional, Tong, Xia-Ting, additional, Xue, Wen-Qiong, additional, Cao, Lian-Jing, additional, Wu, Zi-Yi, additional, Yang, Da-Wei, additional, Zheng, Xiao-Hui, additional, Li, Xi-Zhao, additional, Wu, Yan-Xia, additional, Feng, Lin, additional, Ye, Weimin, additional, Mu, Jianbing, additional, and Jia, Wei-Hua, additional

Published
2023
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21. Rare POLN mutations confer risk for familial nasopharyngeal carcinoma through weakened Epstein-Barr virus lytic replication

Author

Xiao, Ruo-Wen, primary, Wang, Fang, additional, Wang, Tong-Min, additional, Zhang, Jiang-Bo, additional, Wu, Zi-Yi, additional, Deng, Chang-Mi, additional, Liao, Ying, additional, Zhou, Ting, additional, Yang, Da-Wei, additional, Dong, Si-Qi, additional, Xue, Wen-Qiong, additional, He, Yong-Qiao, additional, Zheng, Xiao-Hui, additional, Li, Xi-Zhao, additional, Zhang, Pei-Fen, additional, Zhang, Shao-Dan, additional, Hu, Ye-Zhu, additional, Liu, Yu-Ying, additional, Xia, Yun-Fei, additional, Gao, Song, additional, Mu, Jian-Bing, additional, Feng, Lin, additional, and Jia, Wei-Hua, additional

Published
2022
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22. Whole-Exome Sequencing Study of Familial Nasopharyngeal Carcinoma and Its Implication for Identifying High-Risk Individuals

Author

Wang, Tong-Min, primary, He, Yong-Qiao, additional, Xue, Wen-Qiong, additional, Zhang, Jiang-Bo, additional, Xia, Yun-Fei, additional, Deng, Chang-Mi, additional, Zhang, Wen-Li, additional, Xiao, Ruo-Wen, additional, Liao, Ying, additional, Yang, Da-Wei, additional, Zhou, Ting, additional, Li, Dan-Hua, additional, Luo, Lu-Ting, additional, Tong, Xia-Ting, additional, Wu, Yan-Xia, additional, Chen, Xue-Yin, additional, Li, Xi-Zhao, additional, Zhang, Pei-Fen, additional, Zheng, Xiao-Hui, additional, Zhang, Shao-Dan, additional, Hu, Ye-Zhu, additional, Wang, Fang, additional, Wu, Zi-Yi, additional, Zheng, Mei-Qi, additional, Huang, Jing-Wen, additional, Jia, Yi-Jing, additional, Yuan, Lei-Lei, additional, You, Rui, additional, Zhou, Guan-Qun, additional, Lu, Li-Xia, additional, Liu, Yu-Ying, additional, Chen, Ming-Yuan, additional, Feng, Lin, additional, Dai, Wei, additional, Ren, Ze-Fang, additional, Mai, Hai-Qiang, additional, Sun, Ying, additional, Ma, Jun, additional, Zheng, Wei, additional, Lung, Maria Li, additional, and Jia, Wei-Hua, additional

Published
2022
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23. Development and validation of a polygenic hazard score to predict prognosis and adjuvant chemotherapy benefit in early-stage non-small cell lung cancer

Author

Li, Dan-Hua, primary, He, Yong-Qiao, additional, Wang, Tong-Min, additional, Xue, Wen-Qiong, additional, Deng, Chang-Mi, additional, Yang, Da-Wei, additional, Zhang, Wen-Li, additional, Wu, Zi-Yi, additional, Cao, Lian-Jing, additional, Dong, Si-Qi, additional, Jia, Yi-Jing, additional, Yuan, Lei-Lei, additional, Luo, Lu-Ting, additional, Wu, Yan-Xia, additional, Tong, Xia-Ting, additional, Zhang, Jiang-Bo, additional, Zheng, Mei-Qi, additional, Zhou, Ting, additional, Zheng, Xiao-Hui, additional, Li, Xi-Zhao, additional, Zhang, Pei-Fen, additional, Zhang, Shao-Dan, additional, Hu, Ye-Zhu, additional, Cao, Xun, additional, Wang, Xin, additional, and Jia, Wei-Hua, additional

Published
2022
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24. Peptidome‐wide association analysis of Epstein−Barr virus identifies epitope repertoires associated with nasopharyngeal carcinoma.

Author

Deng, Chang‐Mi, Wang, Tong‐Min, He, Yong‐Qiao, Zhang, Wen‐Li, Xue, Wen‐Qiong, Li, Dan‐Hua, Yang, Da‐Wei, Wang, Qiao‐Ling, Liao, Ying, Diao, Hua, Jiang, Cheng‐Tao, Zhang, Jiang‐Bo, Yuan, Lei‐Lei, Chen, Xue‐Yin, Zhou, Ting, Li, Xi‐Zhao, Zhang, Pei‐Fen, Zheng, Xiao‐Hui, Zhang, Shao‐Dan, and Hu, Ye‐Zhu

Subjects
EPSTEIN-Barr virus, NASOPHARYNX cancer, HLA histocompatibility antigens, T cell receptors, PEPTIDES, LOGISTIC regression analysis
Abstract

Human leukocyte antigen (HLA) molecules are essential for presenting Epstein−Barr virus (EBV) antigens and are closely related to nasopharyngeal carcinoma (NPC). This study aims to systematically investigate the association between HLA‐bound EBV peptides and NPC risk through in silico HLA‐peptide binding prediction. A total of 455 NPC patients and 463 healthy individuals in NPC endemic areas were recruited, and HLA‐target sequencing was performed. HLA‐peptide binding prediction for EBV, followed by peptidome‐wide logistic regression and motif analysis, was applied. Binding affinity changes for EBV peptides carrying high‐risk mutations were analyzed. We found that NPC‐associated EBV peptides were significantly enriched in immunogenic proteins and core linkage disequilibrium (LD) proteins related to evolution, especially those binding HLA‐A alleles (p = 3.10 × 10−4 for immunogenic proteins and p = 8.10 × 10−5 for core LD proteins related to evolution). These peptides were clustered and showed binding motifs of HLA supertypes, among which supertype A02 presented an NPC‐risk effect (padj = 3.77 × 10−4) and supertype A03 presented an NPC‐protective effect (padj = 4.89 × 10−4). Moreover, a decreased binding affinity toward risk HLA supertype A02 was observed for the peptide carrying the NPC‐risk mutation BNRF1 V1222I (p = 0.0078), and an increased binding affinity toward protective HLA supertype A03 was observed for the peptide carrying the NPC‐risk mutation BALF2 I613V (p = 0.022). This study revealed the distinct preference of EBV peptides for binding HLA supertypes, which may contribute to shaping EBV population structure and be involved in NPC development. [ABSTRACT FROM AUTHOR]

Published
2023
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25. Transcriptome‐wide association analysis identified candidate susceptibility genes for nasopharyngeal carcinoma

Author

He, Yong‐Qiao, primary, Xue, Wen‐Qiong, additional, Li, Dan‐Hua, additional, Wang, Tong‐Min, additional, Mai, Zhi‐Ming, additional, Yang, Da‐Wei, additional, Deng, Chang‐Mi, additional, Liao, Ying, additional, Zhang, Wen‐Li, additional, Xiao, Ruo‐Wen, additional, Luo, Luting, additional, Diao, Hua, additional, Tong, Xiating, additional, Wu, Yanxia, additional, Zhang, Jiang‐Bo, additional, Zhou, Ting, additional, Li, Xi‐Zhao, additional, Zhang, Pei‐Fen, additional, Zheng, Xiao‐Hui, additional, Zhang, Shao‐Dan, additional, Hu, Ye‐Zhu, additional, Tang, Minzhong, additional, Zheng, Yuming, additional, Cai, Yonglin, additional, Chang, Ellen T., additional, Zhang, Zhe, additional, Huang, Guangwu, additional, Cao, Su‐Mei, additional, Liu, Qing, additional, Feng, Lin, additional, Sun, Ying, additional, Lung, Maria Li, additional, Adami, Hans‐Olov, additional, Ye, Weimin, additional, Lam, Tai‐Hing, additional, and Jia, Wei‐Hua, additional

Published
2022
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27. Genomic landscape of Epstein–Barr virus in familial nasopharyngeal carcinoma

Author

Zhang, Wen-Li, primary, Zhang, Jiang-Bo, additional, Wang, Tong-Min, additional, Wu, Yan-Xia, additional, He, Yong-Qiao, additional, Xue, Wen-Qiong, additional, Liao, Ying, additional, Deng, Chang-Mi, additional, Li, Dan-Hua, additional, Wu, Zi-Yi, additional, Yang, Da-Wei, additional, Zheng, Xiao-Hui, additional, Li, Xi-Zhao, additional, Zhou, Ting, additional, Zhang, Pei-Fen, additional, Zhang, Shao-Dan, additional, Hu, Ye-Zhu, additional, and Jia, Wei-Hua, additional

Published
2022
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29. Additional file 1 of Burden, trends, and risk factors for breast cancer in China from 1990 to 2019 and its predictions until 2034: an up-to-date overview and comparison with those in Japan and South Korea

Author

Liu, Na, Yang, Da-Wei, Wu, Yan-Xia, Xue, Wen-Qiong, Li, Dan-Hua, Zhang, Jiang-Bo, He, Yong-Qiao, and Jia, Wei-Hua

Abstract

Additional file 1: Fig S1. The number of breast cancer incident cases, deaths and disability-adjusted life years (DALYs) by sex and location from1990 to 2019. (A-C) Both sexes; (D-F) Female; (G-I) Male. Fig S2. The ASIR, ASDR, and ASR of DALYs of breast cancer in China, Japan, South Korea,East Asia and Pacific and the world from 1990 to 2019. (A-C) Both sexes; (D-F) Female; (G-I) Male. ASIR: age-standardized incidence rate, ASDR: age-standardized death rate, ASR:age-standardized rate, DALYs: disability-adjusted life-years. Fig S3. The number of breast cancer incident case, deaths and disability-adjusted life years (DALYs) for both sexes by age group in China, Japan, South Korea, East Asia and the Pacific and the world in 2019. The error bar indicates 95% uncertainty interval of the number. Fig S4. The rates of breast cancer incidence, death and disability-adjusted life years (DALYs) for both sexes by age group in China, Japan, South Korea, East Asia and the Pacific and the world in 2019. The error bar indicates 95% uncertainty interval of the rates. Fig S5. The EAPCs of ASIR, ASDR and ASR of DALYs for breast cancer from 1990 to 2019 by sex in the China, Japan, South Korea, East Asia and the Pacific and the world. EAPC: estimated annual percentage change; ASIR: age-standardized incidence rate; ASDR: age-standardized death rate; ASR: age-standardized rate; DALYs: disability-adjusted life-years. The error bar indicates 95% confidence interval (CI) of the EAPCs. Fig S6. Temporal trends of percent of deaths for breast cancer attributable to risk factors in China(A), Japan (B) and South Korea (C), 1990-2019. Fig S7. Temporal trends of percent of DALYs for breast cancer attributable to risk factors in China(A), Japan (B) and South Korea (C), 1990-2019. DALYs: disability-adjusted life-years. Fig S8. Trends in ASIR and ASDR during 1990–2019 and predictions from 2020 to 2034 in China(A-B), Japan (C-D) and South Korea (E-F). ASIR: age-standardized incidence rate; ASDR: age-standardized death rate. Fig S9. The number of incident cases and deaths during 1990-2019 and projected from 2020 to 2034 in Japan. (A-B) Both sexes; (C-D) Female; (E-F) Male. The error bar indicates 95% confidence interval (CI) of the number. Fig S10. The number of incident cases and deaths during 1990-2019 and projected from 2020 to 2034 in Republic of Korea. (A-B) Both sexes; (C-D) Female; (E-F) Male. The error bar indicates 95% confidence interval (CI) of the number. Table S1. The RMSE in different models.Table S2. World population age standard. Table S3. The age-standardized rate of breast cancer case in the world, East Asia and Pacific, China, Japan and South Korea from 1990 to 2019. Table S4. EAPC of percent of DALYs and deaths for breast cancer attributable to risk factors in China, Japan and South Korea, 1990-2019. Table S5. Predicted number of breast cancer incident cases and deaths in China, Japan and South Korea, and changes between 2020 and 2034 stratified into changes due to risk and demographics by sex. Table S6. Number of population estimates (in millions) in 1990 and 2019 and population projections in 2020 and 2034 by country. Table S7. The death rates of breast cancer in China, Japan and South Korea by sex and age, during 1990-2019, and projected until 2034.

Published
2022
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30. Prognostic Value of Oral Epstein–Barr Virus DNA Load in Locoregionally Advanced Nasopharyngeal Carcinoma

Author

He, Yong-Qiao, primary, Zhou, Ting, additional, Yang, Da-Wei, additional, Jia, Yi-Jing, additional, Yuan, Lei-Lei, additional, Zhang, Wen-Li, additional, Wang, Tong-Min, additional, Liao, Ying, additional, Xue, Wen-Qiong, additional, Zhang, Jiang-Bo, additional, Zheng, Xiao-Hui, additional, Li, Xi-Zhao, additional, Zhang, Pei-Fen, additional, Zhang, Shao-Dan, additional, Hu, Ye-Zhu, additional, Wang, Fang, additional, Cho, William C., additional, Ma, Jun, additional, Sun, Ying, additional, and Jia, Wei-Hua, additional

Published
2022
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31. Genomic Landscapes of Epstein-Barr Virus in Pulmonary Lymphoepithelioma-like Carcinoma

Author

Wu, Yan-Xia, primary, Zhang, Wen-Li, additional, Wang, Tong-Min, additional, Liao, Ying, additional, Zhang, Yi-Jun, additional, Xiao, Ruo-Wen, additional, Jia, Yi-Jing, additional, Wu, Zi-Yi, additional, Deng, Chang-Mi, additional, Yang, Da-Wei, additional, Xue, Wen-Qiong, additional, He, Yong-Qiao, additional, Zheng, Xiao-Hui, additional, Li, Xi-Zhao, additional, Zhou, Ting, additional, Zhang, Pei-Fen, additional, Zhang, Shao-Dan, additional, Hu, Ye-Zhu, additional, Zhang, Jiang-Bo, additional, and Jia, Wei-Hua, additional

Published
2021
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33. Polymorphisms in TYMS for Prediction of Capecitabine-Induced Hand-Foot Syndrome in Chinese Patients with Colorectal Cancer

Author

Dong, Si-Qi, primary, Wang, Tong-Min, additional, Zhang, Jiang-Bo, additional, He, Yong-Qiao, additional, Xue, Wen-Qiong, additional, Wu, Zi-Yi, additional, Yang, Da-Wei, additional, Cao, Lian-Jing, additional, Huang, Jing-Wen, additional, Li, Xi-Zhao, additional, Zhang, Pei-Fen, additional, Zheng, Xiao-Hui, additional, and Jia, Wei-Hua, additional

Published
2021
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34. Association between HLA alleles and Epstein–Barr virus Zta‐IgA serological status in healthy males from southern China

Author

Yuan, Lei‐Lei, primary, Deng, Chang‐Mi, additional, Xue, Wen‐Qiong, additional, He, Yong‐Qiao, additional, Wang, Tong‐Min, additional, Zhang, Jiang‐Bo, additional, Yang, Da‐Wei, additional, Zhou, Ting, additional, Wu, Zi‐Yi, additional, Liao, Ying, additional, Zheng, Mei‐Qi, additional, Li, Dan‐Hua, additional, Cao, Lian‐Jing, additional, Jia, Yi‐Jing, additional, Zhang, Wen‐Li, additional, Xiao, Ruo‐Wen, additional, Luo, Lu‐Ting, additional, Tong, Xia‐Ting, additional, Wu, Yan‐Xia, additional, Huang, Jing‐Wen, additional, and Jia, Wei‐Hua, additional

Published
2021
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35. Additional file 2 of A fecal-based test for the detection of advanced adenoma and colorectal cancer: a case-control and screening cohort study

Author

Cao, Lian-Jing, Peng, Xiao-Lin, Xue, Wen-Qiong, Zhang, Rong, Zhang, Jiang-Bo, Zhou, Ting, Wu, Zi-Yi, Li, Gai-Rui, Wang, Tong-Min, He, Yong-Qiao, Yang, Da-Wei, Liao, Ying, Tong, Xia-Ting, Wang, Fang, Chen, Ke-Xin, Zhang, Shi-Hong, Zhu, Li-Qing, Ding, Pei-Rong, and Jia, Wei-Hua

Abstract

Additional file 2: Table S1. Clinical characteristics of the SYSUCC cohort. Table S2. Clinical characteristics of the external validation cohort. Table S3. Clinical characteristics of the SZ CRC screening cohort. Table S4. Primer and probe sequences for quantitative real-time PCR of methylated DNA markers. Table S5. Primer sequences for quantitative real-time PCR of bacterial markers.

Published
2021
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36. Additional file 1 of A fecal-based test for the detection of advanced adenoma and colorectal cancer: a case-control and screening cohort study

Author

Cao, Lian-Jing, Peng, Xiao-Lin, Xue, Wen-Qiong, Zhang, Rong, Zhang, Jiang-Bo, Zhou, Ting, Wu, Zi-Yi, Li, Gai-Rui, Wang, Tong-Min, He, Yong-Qiao, Yang, Da-Wei, Liao, Ying, Tong, Xia-Ting, Wang, Fang, Chen, Ke-Xin, Zhang, Shi-Hong, Zhu, Li-Qing, Ding, Pei-Rong, and Jia, Wei-Hua

Subjects
digestive system diseases
Abstract

Additional file 1: Figure S1. Effect of the FPB on human genome DNA integrity and bacterial diversity. Figure S2. The prediction score of IBD, polyp, non-AA, AA and CRC patients. Figure S3. Detection rates of ITGA4, FN, Pa, FIT and pd-score on different stage and position.

Published
2021
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40. Nasopharyngeal Epstein‐Barr virus DNA loads in high‐risk nasopharyngeal carcinoma families: Familial aggregation and host heritability

Author

Zheng, Mei‐Qi, primary, Wang, Tong‐Min, additional, Liao, Ying, additional, Xue, Wen‐Qiong, additional, He, Yong‐Qiao, additional, Wu, Zi‐Yi, additional, Yang, Da‐Wei, additional, Li, Dan‐Hua, additional, Deng, Chang‐Mi, additional, Jia, Yi‐Jing, additional, Yuan, Lei‐Lei, additional, Zhang, Wen‐Li, additional, Luo, Lu‐Ting, additional, Tong, Xia‐Ting, additional, Wu, Yan‐Xia, additional, Zhou, Ting, additional, Li, Xi‐Zhao, additional, Tang, Ling‐Ling, additional, Zhang, Jiang‐Bo, additional, Xia, Yun‐Fei, additional, Mu, Jianbing, additional, and Jia, Wei‐Hua, additional

Published
2020
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42. Associations between environmental factors and serological Epstein‐Barr virus antibodies in patients with nasopharyngeal carcinoma in South China

Author

Zhou, Ting, primary, Yang, Da‐Wei, additional, He, Yong‐Qiao, additional, Xue, Wen‐Qiong, additional, Liao, Ying, additional, Zheng, Mei‐Qi, additional, Jia, Yi‐Jing, additional, Yuan, Lei‐Lei, additional, Zhang, Wen‐Li, additional, Zeng, Yi‐Xin, additional, and Jia, Wei‐Hua, additional

Published
2019
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45. Association Between Environmental Factors and Oral Epstein-Barr Virus DNA Loads: A Multicenter Cross-sectional Study in China

Author

He, Yong-Qiao, primary, Liao, Xiao-Yu, additional, Xue, Wen-Qiong, additional, Xu, Ya-Fei, additional, Xu, Feng-Hua, additional, Li, Fang-Fang, additional, Li, Xi-Zhao, additional, Zhang, Jiang-Bo, additional, Wang, Tong-Min, additional, Wang, Fang, additional, Yu, Huan-Lin, additional, Feng, Qi-Sheng, additional, Chen, Li-Zhen, additional, Cao, Su-Mei, additional, Liu, Qing, additional, Mu, Jianbing, additional, and Jia, Wei-Hua, additional

Published
2018
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46. Decreased oral Epstein‐Barr virus DNA loads in patients with nasopharyngeal carcinoma in Southern China: A case‐control and a family‐based study

Author

Xue, Wen‐Qiong, primary, He, Yong‐Qiao, additional, Liao, Xiao‐Yu, additional, Li, Fang‐Fang, additional, Xu, Ya‐Fei, additional, Xu, Feng‐Hua, additional, Li, Xi‐Zhao, additional, Feng, Qi‐Sheng, additional, Chen, Li‐Zhen, additional, Cao, Su‐Mei, additional, Liu, Qing, additional, Zeng, Yi‐Xin, additional, and Jia, Wei‐Hua, additional

Published
2018
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47. Association Between Environmental Factors and Oral Epstein-Barr Virus DNA Loads: A Multicenter Cross-sectional Study in China.

Author

He, Yong-Qiao, Liao, Xiao-Yu, Xue, Wen-Qiong, Xu, Ya-Fei, Xu, Feng-Hua, Li, Fang-Fang, Li, Xi-Zhao, Zhang, Jiang-Bo, Wang, Tong-Min, Wang, Fang, Yu, Huan-Lin, Feng, Qi-Sheng, Chen, Li-Zhen, Cao, Su-Mei, Liu, Qing, Mu, Jianbing, and Jia, Wei-Hua

Subjects
*EPSTEIN-Barr virus, *ENVIRONMENTAL exposure, *LOGISTIC regression analysis, *MEDICAL geology, *SMOKING, *COMPARATIVE studies, *DEMOGRAPHY, *DNA, *EPSTEIN-Barr virus diseases, *RESEARCH methodology, *MEDICAL cooperation, *MOUTH, *POPULATION, *REGRESSION analysis, *RESEARCH, *VIRAL load, *EVALUATION research, *CROSS-sectional method, *ODDS ratio
Abstract

Background: Oral Epstein-Barr virus (EBV) status reflects host EBV activity and potentially links to EBV-associated diseases, however, factors influencing oral EBV loads or reactivation, such as environmental exposures or host factors, are not fully understood.Methods: A 2-stage, multicenter, cross-sectional study of 6558 subjects from 21 administrative cities of southern China and 3 populations from representative geographical areas in China (referred to as the south, north, and northeastern populations) was performed. The relationships between demographical factors and environmental exposures to EBV loads were analyzed by logistic regression models.Results: Current smoking, with a dose-response effect, was found to be strongly associated with higher oral EBV loads in the pooled data, with an odds ratio of 1.58 (95% confidence interval, 1.39-1.79), as well as in each of the separate populations. The odds ratio increased to 3.06 when current smokers in southern China were compared to never smokers in northern China. Additionally, higher oral EBV loads tended to be detected in older participants, male participants, and participants in southern China.Conclusions: This study provided evidence linking the effect of host-environmental factors, particularly smoking, to oral EBV activity. It could strengthen our understanding of the possible causal roles of EBV-related diseases, which may help to prevent or mitigate EBV-associated diseases. [ABSTRACT FROM AUTHOR]

Published
2019
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50. Plasma ofCS-modified CD44 predicts the survival of patients with lung cancer.

Author

Wu ZY, Yang DW, He YQ, Wang TM, Zhou T, Li XZ, Zhang PF, Xue WQ, Zhang JB, Mu J, and Jia WH

Abstract

Plasma levels of oncofetal chondroitin sulfate (ofCS)-modified CD44 have emerged as a promising biomarker for multi-cancer detection. Here, we explored its potential to predict the survival of patients with lung cancer. A prospective observational cohort was conducted involving 274 newly diagnosed patients with lung cancer at the Sun Yat-sen University Cancer Center from 2013 to 2015. The plasma levels of ofCS-modified CD44 were measured, and Cox regression analysis was performed to assess the association between plasma-modified CD44 levels and overall survival (OS) as well as other prognostic outcomes. Prognostic nomograms were constructed based on plasma ofCS-modified CD44 levels to predict survival outcomes for patients with lung cancer. Patients with high expression ofCS-modified CD44 exhibited significantly worse outcomes in terms of OS (HR = 1.61, 95%CI = 1.13-2.29, p = 0.009) and progression-free survival (PFS). These findings were consistent across various analyses. The concordance index of the prognostic nomogram for predicting OS in both the training set and validation set were 0.723 and 0.737, respectively. Additionally, time-dependent receiver operating characteristic (ROC) curves showed that the nomogram could serve as a useful tool for predicting OS in patients with lung cancer. Plasma ofCS-modified CD44 may serve as an independent prognosis marker for patients with lung cancer. Further validation of its predictive value could enhance prognostic assessment and guide personalized treatment strategies for patients with lung cancer., (© 2024 The Author(s). Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.)

Published
2024
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