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2. Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population

Author

Shi, Jianxin, Shiraishi, Kouya, Choi, Jiyeon, Matsuo, Keitaro, Chen, Tzu-Yu, Dai, Juncheng, Hung, Rayjean J., Chen, Kexin, Shu, Xiao-Ou, Kim, Young Tae, Landi, Maria Teresa, Lin, Dongxin, Zheng, Wei, Yin, Zhihua, Zhou, Baosen, Song, Bao, Wang, Jiucun, Seow, Wei Jie, Song, Lei, Chang, I-Shou, Hu, Wei, Chien, Li-Hsin, Cai, Qiuyin, Hong, Yun-Chul, Kim, Hee Nam, Wu, Yi-Long, Wong, Maria Pik, Richardson, Brian Douglas, Funderburk, Karen M., Li, Shilan, Zhang, Tongwu, Breeze, Charles, Wang, Zhaoming, Blechter, Batel, Bassig, Bryan A., Kim, Jin Hee, Albanes, Demetrius, Wong, Jason Y. Y., Shin, Min-Ho, Chung, Lap Ping, Yang, Yang, An, She-Juan, Zheng, Hong, Yatabe, Yasushi, Zhang, Xu-Chao, Kim, Young-Chul, Caporaso, Neil E., Chang, Jiang, Ho, James Chung Man, Kubo, Michiaki, Daigo, Yataro, Song, Minsun, Momozawa, Yukihide, Kamatani, Yoichiro, Kobayashi, Masashi, Okubo, Kenichi, Honda, Takayuki, Hosgood, Dean H., Kunitoh, Hideo, Patel, Harsh, Watanabe, Shun-ichi, Miyagi, Yohei, Nakayama, Haruhiko, Matsumoto, Shingo, Horinouchi, Hidehito, Tsuboi, Masahiro, Hamamoto, Ryuji, Goto, Koichi, Ohe, Yuichiro, Takahashi, Atsushi, Goto, Akiteru, Minamiya, Yoshihiro, Hara, Megumi, Nishida, Yuichiro, Takeuchi, Kenji, Wakai, Kenji, Matsuda, Koichi, Murakami, Yoshinori, Shimizu, Kimihiro, Suzuki, Hiroyuki, Saito, Motonobu, Ohtaki, Yoichi, Tanaka, Kazumi, Wu, Tangchun, Wei, Fusheng, Dai, Hongji, Machiela, Mitchell J., Su, Jian, Kim, Yeul Hong, Oh, In-Jae, Lee, Victor Ho Fun, Chang, Gee-Chen, Tsai, Ying-Huang, Chen, Kuan-Yu, Huang, Ming-Shyan, Su, Wu-Chou, Chen, Yuh-Min, Seow, Adeline, Park, Jae Yong, Kweon, Sun-Seog, Chen, Kun-Chieh, Gao, Yu-Tang, Qian, Biyun, Wu, Chen, Lu, Daru, Liu, Jianjun, Schwartz, Ann G., Houlston, Richard, Spitz, Margaret R., Gorlov, Ivan P., Wu, Xifeng, Yang, Ping, Lam, Stephen, Tardon, Adonina, Chen, Chu, Bojesen, Stig E., Johansson, Mattias, Risch, Angela, Bickeböller, Heike, Ji, Bu-Tian, Wichmann, H-Erich, Christiani, David C., Rennert, Gadi, Arnold, Susanne, Brennan, Paul, McKay, James, Field, John K., Shete, Sanjay S., Le Marchand, Loic, Liu, Geoffrey, Andrew, Angeline, Kiemeney, Lambertus A., Zienolddiny-Narui, Shan, Grankvist, Kjell, Johansson, Mikael, Cox, Angela, Taylor, Fiona, Yuan, Jian-Min, Lazarus, Philip, Schabath, Matthew B., Aldrich, Melinda C., Jeon, Hyo-Sung, Jiang, Shih Sheng, Sung, Jae Sook, Chen, Chung-Hsing, Hsiao, Chin-Fu, Jung, Yoo Jin, Guo, Huan, Hu, Zhibin, Burdett, Laurie, Yeager, Meredith, Hutchinson, Amy, Hicks, Belynda, Liu, Jia, Zhu, Bin, Berndt, Sonja I., Wu, Wei, Wang, Junwen, Li, Yuqing, Choi, Jin Eun, Park, Kyong Hwa, Sung, Sook Whan, Liu, Li, Kang, Chang Hyun, Wang, Wen-Chang, Xu, Jun, Guan, Peng, Tan, Wen, Yu, Chong-Jen, Yang, Gong, Sihoe, Alan Dart Loon, Chen, Ying, Choi, Yi Young, Kim, Jun Suk, Yoon, Ho-Il, Park, In Kyu, Xu, Ping, He, Qincheng, Wang, Chih-Liang, Hung, Hsiao-Han, Vermeulen, Roel C. H., Cheng, Iona, Wu, Junjie, Lim, Wei-Yen, Tsai, Fang-Yu, Chan, John K. C., Li, Jihua, Chen, Hongyan, Lin, Hsien-Chih, Jin, Li, Liu, Jie, Sawada, Norie, Yamaji, Taiki, Wyatt, Kathleen, Li, Shengchao A., Ma, Hongxia, Zhu, Meng, Wang, Zhehai, Cheng, Sensen, Li, Xuelian, Ren, Yangwu, Chao, Ann, Iwasaki, Motoki, Zhu, Junjie, Jiang, Gening, Fei, Ke, Wu, Guoping, Chen, Chih-Yi, Chen, Chien-Jen, Yang, Pan-Chyr, Yu, Jinming, Stevens, Victoria L., Fraumeni, Jr, Joseph F., Chatterjee, Nilanjan, Gorlova, Olga Y., Hsiung, Chao Agnes, Amos, Christopher I., Shen, Hongbing, Chanock, Stephen J., Rothman, Nathaniel, Kohno, Takashi, and Lan, Qing

Published
2023
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4. Development, validation, and evaluation of a risk assessment tool for personalized screening of gastric cancer in Chinese populations

Author

Zhu, Xia, Lv, Jun, Zhu, Meng, Yan, Caiwang, Deng, Bin, Yu, Canqing, Guo, Yu, Ni, Jing, She, Qiang, Wang, Tianpei, Wang, Jiayu, Jiang, Yue, Chen, Jiaping, Hang, Dong, Song, Ci, Gao, Xuefeng, Wu, Jian, Dai, Juncheng, Ma, Hongxia, Yang, Ling, Chen, Yiping, Song, Mingyang, Wei, Qingyi, Chen, Zhengming, Hu, Zhibin, Shen, Hongbing, Ding, Yanbing, Li, Liming, and Jin, Guangfu

Published
2023
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5. Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer.

Author

Byun, Jinyoung, Han, Younghun, Li, Yafang, Xia, Jun, Long, Erping, Choi, Jiyeon, Xiao, Xiangjun, Zhu, Meng, Zhou, Wen, Sun, Ryan, Bossé, Yohan, Song, Zhuoyi, Schwartz, Ann, Lusk, Christine, Rafnar, Thorunn, Stefansson, Kari, Zhang, Tongwu, Zhao, Wei, Pettit, Rowland W, Liu, Yanhong, Li, Xihao, Zhou, Hufeng, Walsh, Kyle M, Gorlov, Ivan, Gorlova, Olga, Zhu, Dakai, Rosenberg, Susan M, Pinney, Susan, Bailey-Wilson, Joan E, Mandal, Diptasri, de Andrade, Mariza, Gaba, Colette, Willey, James C, You, Ming, Anderson, Marshall, Wiencke, John K, Albanes, Demetrius, Lam, Stephan, Tardon, Adonina, Chen, Chu, Goodman, Gary, Bojeson, Stig, Brenner, Hermann, Landi, Maria Teresa, Chanock, Stephen J, Johansson, Mattias, Muley, Thomas, Risch, Angela, Wichmann, H-Erich, Bickeböller, Heike, Christiani, David C, Rennert, Gad, Arnold, Susanne, Field, John K, Shete, Sanjay, Le Marchand, Loic, Melander, Olle, Brunnstrom, Hans, Liu, Geoffrey, Andrew, Angeline S, Kiemeney, Lambertus A, Shen, Hongbing, Zienolddiny, Shanbeh, Grankvist, Kjell, Johansson, Mikael, Caporaso, Neil, Cox, Angela, Hong, Yun-Chul, Yuan, Jian-Min, Lazarus, Philip, Schabath, Matthew B, Aldrich, Melinda C, Patel, Alpa, Lan, Qing, Rothman, Nathaniel, Taylor, Fiona, Kachuri, Linda, Witte, John S, Sakoda, Lori C, Spitz, Margaret, Brennan, Paul, Lin, Xihong, McKay, James, Hung, Rayjean J, and Amos, Christopher I

Subjects
Humans, Lung Neoplasms, Genetic Predisposition to Disease, RNA-Binding Proteins, DNA-Binding Proteins, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome-Wide Association Study, Human Genome, Cancer, Genetics, Lung, 2.1 Biological and endogenous factors, Aetiology, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

To identify new susceptibility loci to lung cancer among diverse populations, we performed cross-ancestry genome-wide association studies in European, East Asian and African populations and discovered five loci that have not been previously reported. We replicated 26 signals and identified 10 new lead associations from previously reported loci. Rare-variant associations tended to be specific to populations, but even common-variant associations influencing smoking behavior, such as those with CHRNA5 and CYP2A6, showed population specificity. Fine-mapping and expression quantitative trait locus colocalization nominated several candidate variants and susceptibility genes such as IRF4 and FUBP1. DNA damage assays of prioritized genes in lung fibroblasts indicated that a subset of these genes, including the pleiotropic gene IRF4, potentially exert effects by promoting endogenous DNA damage.

Published
2022

6. Integrative plasma and fecal metabolomics identify functional metabolites in adenoma-colorectal cancer progression and as early diagnostic biomarkers

Author

Sun, Yang, Zhang, Xiang, Hang, Dong, Lau, Harry Cheuk-Hay, Du, Jie, Liu, Chuanfa, Xie, Mingxu, Pan, Yasi, Wang, Le, Liang, Cong, Zhou, Xingyu, Chen, Danyu, Rong, Jiamei, Zhao, Zengren, Cheung, Alvin Ho-Kwan, Wu, Yuet, Gou, Hongyan, Wong, Chi Chun, Du, Lingbin, Deng, Junliang, Hu, Zhibin, Shen, Hongbing, Miao, Yinglei, and Yu, Jun

Published
2024
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7. Development and evaluation of a risk prediction tool for risk-adapted screening of colorectal cancer in China

Author

Hang, Dong, Sun, Dianjianyi, Du, Lingbin, Huang, Jianv, Li, Jiacong, Zhu, Chen, Wang, Le, He, Jingjing, Zhu, Xia, Zhu, Meng, Song, Ci, Dai, Juncheng, Yu, Canqing, Xu, Zekuan, Li, Ni, Ma, Hongxia, Jin, Guangfu, Yang, Ling, Chen, Yiping, Du, Huaidong, Cheng, Xiangdong, Chen, Zhengming, Lv, Jun, Hu, Zhibin, Li, Liming, and Shen, Hongbing

Published
2024
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9. Modernization of National Border Biosecurity Defense System

Author

Xu Jianguo, Shu Yuelong, Yi Zaijiong, Tian Zhengan, Li Zhenjun, Wang Xiaoli, Shen Hongbing, and He Yuping

Subjects
biosecurity, public health, national border, prevention and control of infectious diseases, health quarantine, Engineering (General). Civil engineering (General), TA1-2040
Abstract

Strengthening the infectious disease prevention and control system at the frontier ports of China is the top priority of biosecurity considering the frequent outbreak of infectious diseases worldwide. This study analyzed the current status of biosecurity defense capabilities and systems at frontier ports of China from the aspects of biosafety status, sanitary and quarantine lines, and organizational structure for infectious disease prevention and control at ports. It also explored the weaknesses regarding the prevention and control of infectious disease at frontier ports through the comparison with European countries and the United States. Specifically, problems exist, including multi-sector and piecemeal management, decentralized formulation of the infectious disease surveillance and early warning network, deficiency in biosecurity situation perception, and uneven level of port health and quarantine capacities. Furthermore, several suggestions were proposed. First, an inter-departmental mutual-recognition mechanism needs to be established and the normalization of an infectious disease joint prevention and control mechanism should be promoted, thus to enhance information sharing among departments. Second, it is necessary to build infectious disease monitoring sites overseas, establish a mechanism of health and quarantine officers, improve outbound biosecurity risk monitoring by establishing a multipoint-trigger earlywarning mechanism, and actively participate in the international public-health cooperation network. Third, we should strengthen the capacities of port laboratories to detect and identify pathogens, promote the development of testing equipment suitable for frontier port application scenarios, and accelerate the construction of a frontier port biosecurity resource bank.

Published
2023
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10. Accounting for EGFR mutations in epidemiological analyses of non-small cell lung cancers: Examples based on the International Lung Cancer Consortium data

Author

Schmid, Sabine, Jiang, Mei, Brown, M Catherine, Fares, Aline, Garcia, Miguel, Soriano, Joelle, Dong, Mei, Thomas, Sera, Kohno, Takashi, Leal, Leticia Ferro, Diao, Nancy, Xie, Juntao, Wang, Zhichao, Zaridze, David, Holcatova, Ivana, Lissowska, Jolanta, Świątkowska, Beata, Mates, Dana, Savic, Milan, Wenzlaff, Angela S, Harris, Curtis C, Caporaso, Neil E, Ma, Hongxia, Fernandez-Tardon, Guillermo, Barnett, Matthew J, Goodman, Gary, Davies, Michael PA, Pérez-Ríos, Mónica, Taylor, Fiona, Duell, Eric J, Schoettker, Ben, Brenner, Hermann, Andrew, Angeline, Cox, Angela, Ruano-Ravina, Alberto, Field, John K, Marchand, Loic Le, Wang, Ying, Chen, Chu, Tardon, Adonina, Shete, Sanjay, Schabath, Matthew B, Shen, Hongbing, Landi, Maria Teresa, Ryan, Brid M, Schwartz, Ann G, Qi, Lihong, Sakoda, Lori C, Brennan, Paul, Yang, Ping, Zhang, Jie, Christiani, David C, Reis, Rui Manuel, Shiraishi, Kouya, Hung, Rayjean J, Xu, Wei, and Liu, Geoffrey

Subjects
Lung, Lung Cancer, Cancer, Prevention, Carcinoma, Non-Small-Cell Lung, ErbB Receptors, Humans, Lung Neoplasms, Mutation, Survival Analysis, Medical and Health Sciences, Epidemiology
Abstract

BackgroundSomatic EGFR mutations define a subset of non-small cell lung cancers (NSCLC) that have clinical impact on NSCLC risk and outcome. However, EGFR-mutation-status is often missing in epidemiologic datasets. We developed and tested pragmatic approaches to account for EGFR-mutation-status based on variables commonly included in epidemiologic datasets and evaluated the clinical utility of these approaches.MethodsThrough analysis of the International Lung Cancer Consortium (ILCCO) epidemiologic datasets, we developed a regression model for EGFR-status; we then applied a clinical-restriction approach using the optimal cut-point, and a second epidemiologic, multiple imputation approach to ILCCO survival analyses that did and did not account for EGFR-status.ResultsOf 35,356 ILCCO patients with NSCLC, EGFR-mutation-status was available in 4,231 patients. A model regressing known EGFR-mutation-status on clinical and demographic variables achieved a concordance index of 0.75 (95% CI, 0.74-0.77) in the training and 0.77 (95% CI, 0.74-0.79) in the testing dataset. At an optimal cut-point of probability-score = 0.335, sensitivity = 69% and specificity = 72.5% for determining EGFR-wildtype status. In both restriction-based and imputation-based regression analyses of the individual roles of BMI on overall survival of patients with NSCLC, similar results were observed between overall and EGFR-mutation-negative cohort analyses of patients of all ancestries. However, our approach identified some differences: EGFR-mutated Asian patients did not incur a survival benefit from being obese, as observed in EGFR-wildtype Asian patients.ConclusionsWe introduce a pragmatic method to evaluate the potential impact of EGFR-status on epidemiological analyses of NSCLC.ImpactThe proposed method is generalizable in the common occurrence in which EGFR-status data are missing.

Published
2022

14. Combining fecal immunochemical testing and questionnaire-based risk assessment in selecting participants for colonoscopy screening in the Chinese National Colorectal Cancer Screening Programs: A population-based cohort study

Author

Dong, Xuesi, Du, Lingbin, Luo, Zilin, Xu, Yongjie, Wang, Chenran, Wang, Fei, Cao, Wei, Zhao, Liang, Zheng, Yadi, Zhu, Hongting, Xia, Changfa, Li, Jiang, Du, Mulong, Hang, Dong, Ren, Jiansong, Shi, Jufang, Shen, Hongbing, Chen, Wanqing, Li, Ni, and He, Jie

Subjects
Oncology, Experimental -- Surveys, Cancer -- Diagnosis -- Research, Colonoscopy -- Surveys, Colorectal cancer -- Surveys, Risk assessment -- Surveys, Biological sciences
Abstract

Background Screening reduces colorectal cancer (CRC) burden by allowing early resection of precancerous and cancerous lesions. An adequate selection of high-risk individuals and a high uptake rate for colonoscopy screening are critical to identifying people more likely to benefit from screening and allocating healthcare resources properly. We evaluated whether combining a questionnaire-based interview for risk factors with fecal immunochemical test (FIT) outcomes for high-risk assessment is more efficient and economical than a questionnaire-based interview-only strategy. Methods and findings In this multicenter, population-based, prospective cohort study, we enrolled community residents aged 40 to 74 years in 29 provinces across China. From 2016 to 2020, a total of 1,526,824 eligible participants were consecutively enrolled in the Cancer Screening Program in Urban China (CanSPUC) cohort, and 940,605 were enrolled in the Whole Life Cycle of Cancer Screening Program (WHOLE) cohort, with follow-up to December 31, 2022. The mean ages were 56.89 and 58.61 years in CanSPUC and WHOLE, respectively. In the WHOLE cohort, high-risk individuals were identified by combining questionnaire-based interviews to collect data on risk factors (demographics, diet history, family history of CRC, etc.) with FIT outcomes (RF-FIT strategy), whereas in the CanSPUC cohort, high-risk individuals were identified using only interview-based data on risk factors (RF strategy). The primary outcomes were participation rate and yield (detection rate of advanced neoplasm, early-stage detection rate of CRCs [stage I/II], screening yield per 10,000 invitees), which were reported for the entire population and for different gender and age groups. The secondary outcome was the cost per case detected. In total, 71,967 (7.65%) and 281,985 (18.47%) individuals were identified as high-risk and were invited to undergo colonoscopy in the RF-FIT group and RF group, respectively. The colonoscopy participation rate in the RF-FIT group was 26.50% (19,071 of 71,967) and in the RF group was 19.54% (55,106 of 281,985; chi-squared test, p < 0.001). A total of 102 (0.53%) CRCs and 2,074 (10.88%) advanced adenomas were detected by the RF-FIT, versus 90 (0.16%) and 3,593 (6.52%) by the RF strategy (chi-squared test, both p < 0.001). The early-stage detection rate using the RF-FIT strategy was significantly higher than that by the RF strategy (67.05% versus 47.95%, Fisher's exact test, p = 0.016). The cost per CRC detected was $24,849 by the RF-FIT strategy versus $55,846 by the RF strategy. A limitation of the study was lack of balance between groups with regard to family history of CRC (3.5% versus 0.7%). Conclusions Colonoscopy participation and screening yield were better with the RF-FIT strategy. The association with CRC incidence and mortality reduction should be evaluated after long-term follow-up., Author(s): Xuesi Dong 1,2, Lingbin Du 3, Zilin Luo 1,2, Yongjie Xu 1,2, Chenran Wang 1,2, Fei Wang 1,2, Wei Cao 1,2, Liang Zhao 1,2, Yadi Zheng 1,2, Hongting Zhu [...]

Published
2024
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15. Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis

Author

Landi, Maria Teresa, Stevens, Victoria, Wang, Ying, Albanes, Demetrios, Caporaso, Neil, Brennan, Paul, Amos, Christopher I., Shete, Sanjay, Hung, Rayjean J., Bickeböller, Heike, Risch, Angela, Houlston, Richard, Lam, Stephen, Tardon, Adonina, Chen, Chu, Bojesen, Stig E., Johansson, Mattias, Wichmann, H-Erich, Christiani, David, Rennert, Gadi, Arnold, Susanne, Field, John K., Le Marchand, Loic, Melander, Olle, Brunnström, Hans, Liu, Geoffrey, Andrew, Angeline, Kiemeney, Lambertus A., Shen, Hongbing, Zienolddiny, Shan, Grankvist, Kjell, Johansson, Mikael, Teare, M. Dawn, Hong, Yun-Chul, Yuan, Jian-Min, Lazarus, Philip, Schabath, Matthew B., Aldrich, Melinda C., Eeles, Rosalind A., Haiman, Christopher A., Kote-Jarai, Zsofia, Schumacher, Fredrick R., Benlloch, Sara, Al Olama, Ali Amin, Muir, Kenneth R., Berndt, Sonja I., Conti, David V., Wiklund, Fredrik, Chanock, Stephen, Tangen, Catherine M., Batra, Jyotsna, Clements, Judith A., Grönberg, Henrik, Pashayan, Nora, Schleutker, Johanna, Albanes, Demetrius, Weinstein, Stephanie J., Wolk, Alicja, West, Catharine M.L., Mucci, Lorelei A., Cancel-Tassin, Géraldine, Koutros, Stella, Sørensen, Karina Dalsgaard, Grindedal, Eli Marie, Neal, David E., Hamdy, Freddie C., Donovan, Jenny L., Travis, Ruth C., Hamilton, Robert J., Ingles, Sue Ann, Rosenstein, Barry S., Lu, Yong-Jie, Giles, Graham G., MacInnis, Robert J., Kibel, Adam S., Vega, Ana, Kogevinas, Manolis, Penney, Kathryn L., Park, Jong Y., Stanfrod, Janet L., Cybulski, Cezary, Nordestgaard, Børge G., Nielsen, Sune F., Brenner, Hermann, Maier, Christiane, Logothetis, Christopher J., John, Esther M., Teixeira, Manuel R., Neuhausen, Susan L., De Ruyck, Kim, Razack, Azad, Newcomb, Lisa F., Lessel, Davor, Kaneva, Radka, Usmani, Nawaid, Claessens, Frank, Townsend, Paul A., Castelao, Jose Esteban, Roobol, Monique J., Menegaux, Florence, Khaw, Kay-Tee, Cannon-Albright, Lisa, Pandha, Hardev, Thibodeau, Stephen N., Hunter, David J., Kraft, Peter, Blot, William J., Riboli, Elio, Yarmolinsky, James, Robinson, Jamie W., Mariosa, Daniela, Karhunen, Ville, Huang, Jian, Dimou, Niki, Murphy, Neil, Burrows, Kimberley, Bouras, Emmanouil, Smith-Byrne, Karl, Lewis, Sarah J., Galesloot, Tessel E., Vermeulen, Sita, Martin, Paul, Hou, Lifang, Newcomb, Polly A., White, Emily, Wu, Anna H., Le Marchand, Loïc, Phipps, Amanda I., Buchanan, Daniel D., Zhao, Sizheng Steven, Gill, Dipender, Chanock, Stephen J., Purdue, Mark P., Davey Smith, George, Herzig, Karl-Heinz, Järvelin, Marjo-Riitta, Amos, Chris I., Dehghan, Abbas, Gunter, Marc J., Tsilidis, Kostas K., and Martin, Richard M.

Published
2024
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16. Leukocyte telomere length in children born following blastocyst-stage embryo transfer

Author

Wang, Cheng, Gu, Yayun, Zhou, Jun, Zang, Jie, Ling, Xiufeng, Li, Hong, Hu, Lingmin, Xu, Bei, Zhang, Bo, Qin, Na, Lv, Hong, Duan, Weiwei, Jiang, Yue, He, Yuanlin, Jiang, Tao, Chen, Congcong, Han, Xiumei, Zhou, Kun, Xu, Bo, Liu, Xiaoyu, Tao, Shiyao, Jiang, Yangqian, Du, Jiangbo, Dai, Juncheng, Diao, Feiyang, Lu, Chuncheng, Guo, Xuejiang, Huo, Ran, Liu, Jiayin, Lin, Yuan, Xia, Yankai, Jin, Guangfu, Ma, Hongxia, Shen, Hongbing, and Hu, Zhibin

Published
2022
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21. Association between duration of smoking abstinence before non-small-cell lung cancer diagnosis and survival: a retrospective, pooled analysis of cohort studies

Author

Fares, Aline F, Li, Yao, Jiang, Mei, Brown, M Catherine, Lam, Andrew C L, Aggarwal, Reenika, Schmid, Sabine, Leighl, Natasha B, Shepherd, Frances A, Wang, Zhichao, Diao, Nancy, Wenzlaff, Angela S, Xie, Juntao, Kohno, Takashi, Caporaso, Neil E, Harris, Curtis, Ma, Hongxia, Barnett, Matthew J, Leal, Leticia Ferro, Fernandez-Tardon, G, Pérez-Ríos, Mónica, Davies, Michael P A, Taylor, Fiona, Schöttker, Ben, Brennan, Paul, Zaridze, David, Holcatova, Ivana, Lissowska, Jolanta, Świątkowska, Beata, Mates, Dana, Savic, Milan, Brenner, Hermann, Andrew, Angeline, Cox, Angela, Field, John K, Ruano-Ravina, Alberto, Shete, Sanjay S, Tardon, Adonina, Wang, Ying, Le Marchand, Loic, Reis, Rui Manuel, Schabath, Matthew B, Chen, Chu, Shen, Hongbing, Ryan, Brid M, Landi, Maria Teresa, Shiraishi, Kouya, Zhang, Jie, Schwartz, Ann G, Tsao, Ming S, Christiani, David C, Yang, Ping, Hung, Rayjean J, Xu, Wei, and Liu, Geoffrey

Published
2023
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22. Genotyping and population characteristics of the China Kadoorie Biobank

Author

Walters, Robin G., Millwood, Iona Y., Lin, Kuang, Schmidt Valle, Dan, McDonnell, Pandora, Hacker, Alex, Avery, Daniel, Edris, Ahmed, Fry, Hannah, Cai, Na, Kretzschmar, Warren W., Ansari, M. Azim, Lyons, Paul A., Collins, Rory, Donnelly, Peter, Hill, Michael, Peto, Richard, Shen, Hongbing, Jin, Xin, Nie, Chao, Xu, Xun, Guo, Yu, Yu, Canqing, Lv, Jun, Clarke, Robert J., Li, Liming, and Chen, Zhengming

Published
2023
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23. Mosaic Chromosomal Alterations Are Associated With Increased Lung Cancer Risk: Insight From the INTEGRAL-ILCCO Cohort Analysis

Author

Cheng, Chao, Hong, Wei, Li, Yafang, Xiao, Xiangjun, McKay, James, Han, Younghun, Byun, Jinyoung, Peng, Bo, Albanes, Demetrios, Lam, Stephen, Tardon, Adonina, Chen, Chu, Bojesen, Stig E., Landi, Maria T., Johansson, Mattias, Risch, Angela, Bickeböller, Heike, Wichmann, H-Erich, Christiani, David C., Rennert, Gad, Arnold, Susanne, Goodman, Gary, Field, John K., Davies, Michael P.A., Shete, Sanjay S., Le Marchand, Loic, Liu, Geoffrey, Hung, Rayjean J., Andrew, Angeline S., Kiemeney, Lambertus A., Zhu, Meng, Shen, Hongbing, Zienolddiny, Shan, Grankvist, Kjell, Johansson, Mikael, Cox, Angela, Hong, Yun-Chul, Yuan, Jian-Min, Lazarus, Philip, Schabath, Matthew B., Aldrich, Melinda C., Brennan, Paul, Li, Yong, Gorlova, Olga, Gorlov, Ivan, and Amos, Christopher I.

Published
2023
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24. 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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31. Author response: Associations of combined phenotypic aging and genetic risk with incident cancer: A prospective cohort study

Author

Bian, Lijun, primary, Ma, Zhimin, additional, Fu, Xiangjin, additional, Ji, Chen, additional, Wang, Tianpei, additional, Yan, Caiwang, additional, Dai, Juncheng, additional, Ma, Hongxia, additional, Hu, Zhibin, additional, Shen, Hongbing, additional, Wang, Lu, additional, Zhu, Meng, additional, and Jin, Guangfu, additional

Published
2024
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33. Supplementary Table S6 from Lung Cancer in Ever- and Never-Smokers: Findings from Multi-Population GWAS Studies

Author

Li, Yafang, primary, Xiao, Xiangjun, primary, Li, Jianrong, primary, Han, Younghun, primary, Cheng, Chao, primary, Fernandes, Gail F., primary, Slewitzke, Shannon E., primary, Rosenberg, Susan M., primary, Zhu, Meng, primary, Byun, Jinyoung, primary, Bossé, Yohan, primary, McKay, James D., primary, Albanes, Demetrios, primary, Lam, Stephen, primary, Tardon, Adonina, primary, Chen, Chu, primary, Bojesen, Stig E., primary, Landi, Maria T., primary, Johansson, Mattias, primary, Risch, Angela, primary, Bickeböller, Heike, primary, Wichmann, H-Erich, primary, Christiani, David C., primary, Rennert, Gad, primary, Arnold, Susanne M., primary, Goodman, Gary E., primary, Field, John K., primary, Davies, Michael P.A., primary, Shete, Sanjay, primary, Marchand, Loïc Le, primary, Liu, Geoffrey, primary, Hung, Rayjean J., primary, Andrew, Angeline S., primary, Kiemeney, Lambertus A., primary, Sun, Ryan, primary, Zienolddiny, Shanbeh, primary, Grankvist, Kjell, primary, Johansson, Mikael, primary, Caporaso, Neil E., primary, Cox, Angela, primary, Hong, Yun-Chul, primary, Lazarus, Philip, primary, Schabath, Matthew B., primary, Aldrich, Melinda C., primary, Schwartz, Ann G., primary, Gorlov, Ivan, primary, Purrington, Kristen S., primary, Yang, Ping, primary, Liu, Yanhong, primary, Bailey-Wilson, Joan E., primary, Pinney, Susan M., primary, Mandal, Diptasri, primary, Willey, James C., primary, Gaba, Colette, primary, Brennan, Paul, primary, Xia, Jun, primary, Shen, Hongbing, primary, and Amos, Christopher I., primary

Published
2024
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34. Data from Lung Cancer in Ever- and Never-Smokers: Findings from Multi-Population GWAS Studies

Author

Li, Yafang, primary, Xiao, Xiangjun, primary, Li, Jianrong, primary, Han, Younghun, primary, Cheng, Chao, primary, Fernandes, Gail F., primary, Slewitzke, Shannon E., primary, Rosenberg, Susan M., primary, Zhu, Meng, primary, Byun, Jinyoung, primary, Bossé, Yohan, primary, McKay, James D., primary, Albanes, Demetrios, primary, Lam, Stephen, primary, Tardon, Adonina, primary, Chen, Chu, primary, Bojesen, Stig E., primary, Landi, Maria T., primary, Johansson, Mattias, primary, Risch, Angela, primary, Bickeböller, Heike, primary, Wichmann, H-Erich, primary, Christiani, David C., primary, Rennert, Gad, primary, Arnold, Susanne M., primary, Goodman, Gary E., primary, Field, John K., primary, Davies, Michael P.A., primary, Shete, Sanjay, primary, Marchand, Loïc Le, primary, Liu, Geoffrey, primary, Hung, Rayjean J., primary, Andrew, Angeline S., primary, Kiemeney, Lambertus A., primary, Sun, Ryan, primary, Zienolddiny, Shanbeh, primary, Grankvist, Kjell, primary, Johansson, Mikael, primary, Caporaso, Neil E., primary, Cox, Angela, primary, Hong, Yun-Chul, primary, Lazarus, Philip, primary, Schabath, Matthew B., primary, Aldrich, Melinda C., primary, Schwartz, Ann G., primary, Gorlov, Ivan, primary, Purrington, Kristen S., primary, Yang, Ping, primary, Liu, Yanhong, primary, Bailey-Wilson, Joan E., primary, Pinney, Susan M., primary, Mandal, Diptasri, primary, Willey, James C., primary, Gaba, Colette, primary, Brennan, Paul, primary, Xia, Jun, primary, Shen, Hongbing, primary, and Amos, Christopher I., primary

Published
2024
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35. Figure S4 from Lung Cancer in Ever- and Never-Smokers: Findings from Multi-Population GWAS Studies

Author

Li, Yafang, primary, Xiao, Xiangjun, primary, Li, Jianrong, primary, Han, Younghun, primary, Cheng, Chao, primary, Fernandes, Gail F., primary, Slewitzke, Shannon E., primary, Rosenberg, Susan M., primary, Zhu, Meng, primary, Byun, Jinyoung, primary, Bossé, Yohan, primary, McKay, James D., primary, Albanes, Demetrios, primary, Lam, Stephen, primary, Tardon, Adonina, primary, Chen, Chu, primary, Bojesen, Stig E., primary, Landi, Maria T., primary, Johansson, Mattias, primary, Risch, Angela, primary, Bickeböller, Heike, primary, Wichmann, H-Erich, primary, Christiani, David C., primary, Rennert, Gad, primary, Arnold, Susanne M., primary, Goodman, Gary E., primary, Field, John K., primary, Davies, Michael P.A., primary, Shete, Sanjay, primary, Marchand, Loïc Le, primary, Liu, Geoffrey, primary, Hung, Rayjean J., primary, Andrew, Angeline S., primary, Kiemeney, Lambertus A., primary, Sun, Ryan, primary, Zienolddiny, Shanbeh, primary, Grankvist, Kjell, primary, Johansson, Mikael, primary, Caporaso, Neil E., primary, Cox, Angela, primary, Hong, Yun-Chul, primary, Lazarus, Philip, primary, Schabath, Matthew B., primary, Aldrich, Melinda C., primary, Schwartz, Ann G., primary, Gorlov, Ivan, primary, Purrington, Kristen S., primary, Yang, Ping, primary, Liu, Yanhong, primary, Bailey-Wilson, Joan E., primary, Pinney, Susan M., primary, Mandal, Diptasri, primary, Willey, James C., primary, Gaba, Colette, primary, Brennan, Paul, primary, Xia, Jun, primary, Shen, Hongbing, primary, and Amos, Christopher I., primary

Published
2024
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38. Circulating tumor DNA integrating tissue clonality detects minimal residual disease in resectable non-small-cell lung cancer

Author

Wang, Siwei, Li, Ming, Zhang, Jingyuan, Xing, Peng, Wu, Min, Meng, Fancheng, Jiang, Feng, Wang, Jie, Bao, Hua, Huang, Jianfeng, Ren, Binhui, Yu, Mingfeng, Qiu, Ninglei, Li, Houhuai, Yuan, Fangliang, Zhang, Zhi, Jia, Hui, Lu, Xinxin, Zhang, Shuai, Wang, Xiaojun, Xu, Youtao, Xia, Wenjia, Liu, Tongyan, Xu, Weizhang, Xu, Xinyu, Sun, Mengting, Wu, Xue, Shao, Yang, Wang, Qianghu, Dai, Juncheng, Qiu, Mantang, Wang, Jinke, Zhang, Qin, Xu, Lin, Shen, Hongbing, and Yin, Rong

Published
2022
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41. 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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47. One-off low-dose CT for lung cancer screening in China: a multicentre, population-based, prospective cohort study

Author

Cao, Ji, Cao, Sumei, Cao, Wei, Chen, Hongda, Chen, Wanqing, Cheng, Ying, Cui, Hong, Dai, Min, Dong, Dong, Dong, Hua, Dong, Xuesi, Du, Lingbin, Ge, Lianying, Gong, Jiyong, Guo, Lanwei, He, Jie, He, Mei, He, Yutong, Huang, Limin, Huang, Yao, Huang, Yubei, Huang, Yunchao, Jiang, Jing, Jin, Shengyan, Kong, Yunxin, Li, Fang, Li, Jiang, Li, Jibin, Li, Ni, Li, Xin, Liao, Xianzhen, Liu, Yunyong, Liu, Yuqin, Luo, Zilin, Lv, Zhangyan, Ma, Hongxia, Ma, Yanling, Qiao, Liang, Qin, Chao, Ren, Jiansong, Shen, Hongbing, Shen, Sipeng, Shi, Jufang, Song, Benhua, Song, Bingbing, Song, Shuming, Su, Kai, Sun, Gang, Tan, Fengwei, Tang, Wei, Wang, Fei, Wang, Le, Wang, Ning, Wei, Donghua, Wei, Luopei, Wei, Qingfeng, Wen, Yan, Wu, Ning, Wu, Zheng, Xi, Yunfeng, Xu, Yongjie, Yan, Shipeng, Yang, Lei, Yang, Zhuoyu, Yin, Zhihua, Yu, Lianzheng, Yu, Xinyang, Yu, Yiwen, Zhang, Min, Zhang, Shaokai, Zhang, Yongzhen, Zhao, Liang, Zheng, Yadi, Zhou, Baosen, Zhou, Jinyi, Zhu, Chen, Zhu, Meng, and Zou, Kaiyong

Published
2022
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49. Polygenic risk scores: the future of cancer risk prediction, screening, and precision prevention

Author

Wang Yuzhuo, Zhu Meng, Ma Hongxia, and Shen Hongbing

Subjects
cancer screening, genome-wide association study (gwas), polygenic risk score (prs), precision prevention, risk prediction model, Medicine
Abstract

Genome-wide association studies (GWASs) have shown that the genetic architecture of cancers are highly polygenic and enabled researchers to identify genetic risk loci for cancers. The genetic variants associated with a cancer can be combined into a polygenic risk score (PRS), which captures part of an individual’s genetic susceptibility to cancer. Recently, PRSs have been widely used in cancer risk prediction and are shown to be capable of identifying groups of individuals who could benefit from the knowledge of their probabilistic susceptibility to cancer, which leads to an increased interest in understanding the potential utility of PRSs that might further refine the assessment and management of cancer risk. In this context, we provide an overview of the major discoveries from cancer GWASs. We then review the methodologies used for PRS construction, and describe steps for the development and evaluation of risk prediction models that include PRS and/or conventional risk factors. Potential utility of PRSs in cancer risk prediction, screening, and precision prevention are illustrated. Challenges and practical considerations relevant to the implementation of PRSs in health care settings are discussed.

Published
2021
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