339 results on '"Chen-Yang Shen"'
Search Results
2. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry
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Stefanie H. Mueller, Alvina G. Lai, Maria Valkovskaya, Kyriaki Michailidou, Manjeet K. Bolla, Qin Wang, Joe Dennis, Michael Lush, Zomoruda Abu-Ful, Thomas U. Ahearn, Irene L. Andrulis, Hoda Anton-Culver, Natalia N. Antonenkova, Volker Arndt, Kristan J. Aronson, Annelie Augustinsson, Thais Baert, Laura E. Beane Freeman, Matthias W. Beckmann, Sabine Behrens, Javier Benitez, Marina Bermisheva, Carl Blomqvist, Natalia V. Bogdanova, Stig E. Bojesen, Bernardo Bonanni, Hermann Brenner, Sara Y. Brucker, Saundra S. Buys, Jose E. Castelao, Tsun L. Chan, Jenny Chang-Claude, Stephen J. Chanock, Ji-Yeob Choi, Wendy K. Chung, NBCS Collaborators, Sarah V. Colonna, CTS Consortium, Sten Cornelissen, Fergus J. Couch, Kamila Czene, Mary B. Daly, Peter Devilee, Thilo Dörk, Laure Dossus, Miriam Dwek, Diana M. Eccles, Arif B. Ekici, A. Heather Eliassen, Christoph Engel, D. Gareth Evans, Peter A. Fasching, Olivia Fletcher, Henrik Flyger, Manuela Gago-Dominguez, Yu-Tang Gao, Montserrat García-Closas, José A. García-Sáenz, Jeanine Genkinger, Aleksandra Gentry-Maharaj, Felix Grassmann, Pascal Guénel, Melanie Gündert, Lothar Haeberle, Eric Hahnen, Christopher A. Haiman, Niclas Håkansson, Per Hall, Elaine F. Harkness, Patricia A. Harrington, Jaana M. Hartikainen, Mikael Hartman, Alexander Hein, Weang-Kee Ho, Maartje J. Hooning, Reiner Hoppe, John L. Hopper, Richard S. Houlston, Anthony Howell, David J. Hunter, Dezheng Huo, ABCTB Investigators, Hidemi Ito, Motoki Iwasaki, Anna Jakubowska, Wolfgang Janni, Esther M. John, Michael E. Jones, Audrey Jung, Rudolf Kaaks, Daehee Kang, Elza K. Khusnutdinova, Sung-Won Kim, Cari M. Kitahara, Stella Koutros, Peter Kraft, Vessela N. Kristensen, Katerina Kubelka-Sabit, Allison W. Kurian, Ava Kwong, James V. Lacey, Diether Lambrechts, Loic Le Marchand, Jingmei Li, Martha Linet, Wing-Yee Lo, Jirong Long, Artitaya Lophatananon, Arto Mannermaa, Mehdi Manoochehri, Sara Margolin, Keitaro Matsuo, Dimitrios Mavroudis, Usha Menon, Kenneth Muir, Rachel A. Murphy, Heli Nevanlinna, William G. Newman, Dieter Niederacher, Katie M. O’Brien, Nadia Obi, Kenneth Offit, Olufunmilayo I. Olopade, Andrew F. Olshan, Håkan Olsson, Sue K. Park, Alpa V. Patel, Achal Patel, Charles M. Perou, Julian Peto, Paul D. P. Pharoah, Dijana Plaseska-Karanfilska, Nadege Presneau, Brigitte Rack, Paolo Radice, Dhanya Ramachandran, Muhammad U. Rashid, Gad Rennert, Atocha Romero, Kathryn J. Ruddy, Matthias Ruebner, Emmanouil Saloustros, Dale P. Sandler, Elinor J. Sawyer, Marjanka K. Schmidt, Rita K. Schmutzler, Michael O. Schneider, Christopher Scott, Mitul Shah, Priyanka Sharma, Chen-Yang Shen, Xiao-Ou Shu, Jacques Simard, Harald Surowy, Rulla M. Tamimi, William J. Tapper, Jack A. Taylor, Soo Hwang Teo, Lauren R. Teras, Amanda E. Toland, Rob A. E. M. Tollenaar, Diana Torres, Gabriela Torres-Mejía, Melissa A. Troester, Thérèse Truong, Celine M. Vachon, Joseph Vijai, Clarice R. Weinberg, Camilla Wendt, Robert Winqvist, Alicja Wolk, Anna H. Wu, Taiki Yamaji, Xiaohong R. Yang, Jyh-Cherng Yu, Wei Zheng, Argyrios Ziogas, Elad Ziv, Alison M. Dunning, Douglas F. Easton, Harry Hemingway, Ute Hamann, and Karoline B. Kuchenbaecker
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Breast cancer susceptibility ,Diverse ancestry ,Rare variants ,Gene regulation ,Genome-wide association study ,Medicine ,Genetics ,QH426-470 - Abstract
Abstract Background Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. Methods We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes’ coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry. Results In European ancestry samples, 14 genes were significantly associated (q
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- 2023
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3. miR-622 Increases miR-30a Expression through Inhibition of Hypoxia-Inducible Factor 1α to Improve Metastasis and Chemoresistance in Human Invasive Breast Cancer Cells
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Chun-Wen Cheng, Yu-Fan Liu, Wen-Ling Liao, Po-Ming Chen, Yueh-Tzu Hung, Huei-Jane Lee, Yu-Chun Cheng, Pei-Ei Wu, Yen-Shen Lu, and Chen-Yang Shen
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breast cancer ,hypoxia-inducible factor 1α ,epithelial–mesenchymal transition ,autophagy ,microRNA ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Hypoxia-inducible factor 1α (HIF-1α) plays a pivotal role in the survival, metastasis, and response to treatment of solid tumors. Autophagy serves as a mechanism for tumor cells to eliminate misfolded proteins and damaged organelles, thus promoting invasiveness, metastasis, and resistance to treatment under hypoxic conditions. MicroRNA (miRNA) research underscores the significance of these non-coding molecules in regulating cancer-related protein synthesis across diverse contexts. However, there is limited reporting on miRNA-mediated gene expression studies, especially with respect to epithelial–mesenchymal transition (EMT) and autophagy in the context of hypoxic breast cancer. Our study reveals decreased levels of miRNA-622 (miR-622) and miRNA-30a (miR-30a) in invasive breast cancer cells compared to their non-invasive counterparts. Inducing miR-622 suppresses HIF-1α protein expression, subsequently activating miR-30a transcription. This cascade results in reduced invasiveness and migration of breast cancer cells by inhibiting EMT markers, such as Snail, Slug, and vimentin. Furthermore, miR-30a negatively regulates beclin 1, ATG5, and LC3-II and inhibits Akt protein phosphorylation. Consequently, this improves the sensitivity of invasive MDA-MB-231 cells to docetaxel treatment. In conclusion, our study highlights the therapeutic potential of inducing miR-622 to promote miR-30a expression and thus disrupt HIF-1α-associated EMT and autophagy pathways. This innovative strategy presents a promising approach to the treatment of aggressive breast cancer.
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- 2024
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4. A genome-wide association study for melatonin secretion
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Pi-Hua Liu, Gwo-Tsann Chuang, Chia-Ni Hsiung, Wei-Shun Yang, Hsiao-Chia Ku, Yi-Ching Lin, Yi-Shun Chen, Yu-Yao Huang, Chia-Hung Lin, Wen-Yi Li, Jou-Wei Lin, Chih-Neng Hsu, Juey-Jen Hwang, Karen Chia-Wen Liao, Meng-Lun Hsieh, Hsiao-Lin Lee, Chen-Yang Shen, and Yi-Cheng Chang
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Medicine ,Science - Abstract
Abstract Melatonin exerts a wide range of effects among various tissues and organs. However, there is currently no study to investigate the genetic determinants of melatonin secretion. Here, we conducted a genome-wide association study (GWAS) for melatonin secretion using morning urine 6-hydroxymelatonin sulfate-to-creatinine ratio (UMCR). We initially enrolled 5000 participants from Taiwan Biobank in this study. After excluding individuals that did not have their urine collected in the morning, those who had history of neurological or psychiatric disorder, and those who failed to pass quality control, association of single nucleotide polymorphisms with log-transformed UMCR adjusted for age, sex and principal components of ancestry were analyzed. A second model additionally adjusted for estimated glomerular filtration rate (eGFR). A total of 2373 participants underwent the genome-wide analysis. Five candidate loci associated with log UMCR (P value ranging from 6.83 × 10−7 to 3.44 × 10−6) encompassing ZFHX3, GALNT15, GALNT13, LDLRAD3 and intergenic between SEPP1 and FLJ32255 were identified. Similar results were yielded with further adjustment for eGFR. Interestingly, the identified genes are associated with circadian behavior, neuronal differentiation, motor disorders, anxiety, and neurodegenerative diseases. We conducted the first GWAS for melatonin secretion and identified five candidate genetic loci associated with melatonin level. Replication and functional studies are needed in the future.
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- 2022
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5. A common variant in 11q23.3 associated with hyperlipidemia is mediated by the binding and regulation of GATA4
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Wen-Cheng Chou, Wei-Ting Chen, and Chen-Yang Shen
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Medicine ,Genetics ,QH426-470 - Abstract
Abstract Large-scale genome-wide associations comprising multiple studies have identified hundreds of genetic loci commonly associated with hyperlipidemia-related phenotypes. However, single large cohort remains necessary in aiming to investigate ethnicity-specific genetic risks and mechanical insights. A community-based cohort comprising 23,988 samples that included both genotype and biochemical information was assembled for the genome-wide association analysis (GWAS) of hyperlipidemia. The analysis identified fifty genetic variants (P
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- 2022
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6. Rare variants discovery by extensive whole-genome sequencing of the Han Chinese population in Taiwan: Applications to cardiovascular medicine
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Jyh-Ming Jimmy Juang, Tzu-Pin Lu, Ming-Wei Su, Chien-Wei Lin, Jenn-Hwai Yang, Hou-Wei Chu, Chien-Hsiun Chen, Yi-Wen Hsiao, Chien-Yueh Lee, Li-Mei Chiang, Qi-You Yu, Chuhsing Kate Hsiao, Ching-Yu Julius Chen, Pei-Ei Wu, Chien-Hua Pai, Eric Y. Chuang, and Chen-Yang Shen
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Taiwan Biobank ,Extensive whole-genome sequencing ,De novo mutations ,Cardiovascular diseases ,Medicine (General) ,R5-920 ,Science (General) ,Q1-390 - Abstract
Introduction: A population-specific genomic reference is important for research and clinical practice, yet it remains unavailable for Han Chinese (HC) in Taiwan. Objectives: We report the first whole genome sequencing (WGS) database of HC (1000 Taiwanese genome (1KTW-WGS)) and demonstrate several applications to cardiovascular medicine. Methods: Whole genomes of 997 HC were sequenced to at least 30X depth. A total of 20,117 relatively healthy HC individuals were genotyped using a customized Axiom GWAS array. We performed a genome-wide genotype imputation technique using IMPUTE2. Results: We identified 26.7 million single-nucleotide variants (SNVs) and 4.2 million insertions-deletions. Of the SNVs, 16.1% were novel relative to dbSNP (build 152), and 34.2% were novel relative to gnomAD. A total of 18,450 healthy HC individuals were genotyped using a customized Genome-Wide Association Study (GWAS) array. We identified hypertension-associated variants and developed a hypertension prediction model based on the correlation between the WGS data and GWAS data (combined clinical and genetic models, AUC 0.887), and also identified 3 novel hyperlipidemia-associated variants. Each individual carried an average of 16.42 (SD = 3.72) disease-causing variants. Additionally, we established an online SCN5A (an important cardiac gene) database that can be used to explore racial differences. Finally, pharmacogenetics studies identified HC population-specific SNVs in genes (CYP2C9 and VKORC1) involved in drug metabolism and blood clotting. Conclusion: This research demonstrates the benefits of constructing a population-specific genomic reference database for precision medicine.
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- 2021
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7. Genetic profiles of 103,106 individuals in the Taiwan Biobank provide insights into the health and history of Han Chinese
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Chun-Yu Wei, Jenn-Hwai Yang, Erh-Chan Yeh, Ming-Fang Tsai, Hsiao-Jung Kao, Chen-Zen Lo, Lung-Pao Chang, Wan-Jia Lin, Feng-Jen Hsieh, Saurabh Belsare, Anand Bhaskar, Ming-Wei Su, Te-Chang Lee, Yi-Ling Lin, Fu-Tong Liu, Chen-Yang Shen, Ling-Hui Li, Chien-Hsiun Chen, Jeffrey D. Wall, Jer-Yuarn Wu, and Pui-Yan Kwok
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Medicine ,Genetics ,QH426-470 - Abstract
Abstract Personalized medical care focuses on prediction of disease risk and response to medications. To build the risk models, access to both large-scale genomic resources and human genetic studies is required. The Taiwan Biobank (TWB) has generated high-coverage, whole-genome sequencing data from 1492 individuals and genome-wide SNP data from 103,106 individuals of Han Chinese ancestry using custom SNP arrays. Principal components analysis of the genotyping data showed that the full range of Han Chinese genetic variation was found in the cohort. The arrays also include thousands of known functional variants, allowing for simultaneous ascertainment of Mendelian disease-causing mutations and variants that affect drug metabolism. We found that 21.2% of the population are mutation carriers of autosomal recessive diseases, 3.1% have mutations in cancer-predisposing genes, and 87.3% carry variants that affect drug response. We highlight how TWB data provide insight into both population history and disease burden, while showing how widespread genetic testing can be used to improve clinical care.
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- 2021
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8. Genome-wide association study identifies genetic risk loci for adiposity in a Taiwanese population.
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Henry Sung-Ching Wong, Szu-Yi Tsai, Hou-Wei Chu, Min-Rou Lin, Gan-Hong Lin, Yu-Ting Tai, Chen-Yang Shen, and Wei-Chiao Chang
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Genetics ,QH426-470 - Abstract
Overweight and obese are risk factors for various diseases. In Taiwan, the combined prevalence of overweight and obesity has increased dramatically. Here, we conducted a genome-wide association study (GWAS) on four adiposity traits, including body-mass index (BMI), body fat percentage (BF%), waist circumference (WC), and waist-hip ratio (WHR), using the data for more than 21,000 subjects in Taiwan Biobank. Associations were evaluated between 6,546,460 single-nucleotide polymorphisms (SNPs) and adiposity traits, yielding 13 genome-wide significant (GWS) adiposity-associated trait-loci pairs. A known gene, FTO, as well as two BF%-associated loci (GNPDA2-GABRG1 [4p12] and RNU6-2-PIAS1 [15q23]) were identified as pleiotropic effects. Moreover, RALGAPA1 was found as a specific genetic predisposing factor to high BMI in a Taiwanese population. Compared to other populations, a slightly lower heritability of the four adiposity traits was found in our cohort. Surprisingly, we uncovered the importance of neural pathways that might influence BF%, WC and WHR in the Taiwanese (East Asian) population. Additionally, a moderate genetic correlation between the WHR and BMI (γg = 0.52; p = 2.37×10-9) was detected, suggesting different genetic determinants exist for abdominal adiposity and overall adiposity. In conclusion, the obesity-related genetic loci identified here provide new insights into the genetic underpinnings of adiposity in the Taiwanese population.
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- 2022
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9. European polygenic risk score for prediction of breast cancer shows similar performance in Asian women
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Weang-Kee Ho, Min-Min Tan, Nasim Mavaddat, Mei-Chee Tai, Shivaani Mariapun, Jingmei Li, Peh-Joo Ho, Joe Dennis, Jonathan P. Tyrer, Manjeet K. Bolla, Kyriaki Michailidou, Qin Wang, Daehee Kang, Ji-Yeob Choi, Suniza Jamaris, Xiao-Ou Shu, Sook-Yee Yoon, Sue K. Park, Sung-Won Kim, Chen-Yang Shen, Jyh-Cherng Yu, Ern Yu Tan, Patrick Mun Yew Chan, Kenneth Muir, Artitaya Lophatananon, Anna H. Wu, Daniel O. Stram, Keitaro Matsuo, Hidemi Ito, Ching Wan Chan, Joanne Ngeow, Wei Sean Yong, Swee Ho Lim, Geok Hoon Lim, Ava Kwong, Tsun L. Chan, Su Ming Tan, Jaime Seah, Esther M. John, Allison W. Kurian, Woon-Puay Koh, Chiea Chuen Khor, Motoki Iwasaki, Taiki Yamaji, Kiak Mien Veronique Tan, Kiat Tee Benita Tan, John J. Spinelli, Kristan J. Aronson, Siti Norhidayu Hasan, Kartini Rahmat, Anushya Vijayananthan, Xueling Sim, Paul D. P. Pharoah, Wei Zheng, Alison M. Dunning, Jacques Simard, Rob Martinus van Dam, Cheng-Har Yip, Nur Aishah Mohd Taib, Mikael Hartman, Douglas F. Easton, Soo-Hwang Teo, and Antonis C. Antoniou
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Science - Abstract
Polygenic risk scores predict the likelihood that an individual will develop a certain cancer, however these are often specific for a given population. Here, the authors show that a risk score developed to assess the risk of breast cancer in European women can also predict risk in Asian populations.
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- 2020
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10. Identification of novel breast cancer susceptibility loci in meta-analyses conducted among Asian and European descendants
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Xiang Shu, Jirong Long, Qiuyin Cai, Sun-Seog Kweon, Ji-Yeob Choi, Michiaki Kubo, Sue K. Park, Manjeet K. Bolla, Joe Dennis, Qin Wang, Yaohua Yang, Jiajun Shi, Xingyi Guo, Bingshan Li, Ran Tao, Kristan J. Aronson, Kelvin Y. K. Chan, Tsun L. Chan, Yu-Tang Gao, Mikael Hartman, Weang Kee Ho, Hidemi Ito, Motoki Iwasaki, Hiroji Iwata, Esther M. John, Yoshio Kasuga, Ui Soon Khoo, Mi-Kyung Kim, Sun-Young Kong, Allison W. Kurian, Ava Kwong, Eun-Sook Lee, Jingmei Li, Artitaya Lophatananon, Siew-Kee Low, Shivaani Mariapun, Koichi Matsuda, Keitaro Matsuo, Kenneth Muir, Dong-Young Noh, Boyoung Park, Min-Ho Park, Chen-Yang Shen, Min-Ho Shin, John J. Spinelli, Atsushi Takahashi, Chiuchen Tseng, Shoichiro Tsugane, Anna H. Wu, Yong-Bing Xiang, Taiki Yamaji, Ying Zheng, Roger L. Milne, Alison M. Dunning, Paul D. P. Pharoah, Montserrat García-Closas, Soo-Hwang Teo, Xiao-ou Shu, Daehee Kang, Douglas F. Easton, Jacques Simard, and Wei Zheng
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Science - Abstract
In breast cancer, genome-wide associations studies (GWAS) have highlighted loci associated with disease risk. Here, the authors perform a meta-analysis of GWAS data from Asian populations, discovering 31 potential new risk loci, 10 of which are validated in an independent disease cohort.
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- 2020
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11. Re-evaluating genetic variants identified in candidate gene studies of breast cancer risk using data from nearly 280,000 women of Asian and European ancestryResearch in context
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Yaohua Yang, Xiang Shu, Xiao-ou Shu, Manjeet K. Bolla, Sun-Seog Kweon, Qiuyin Cai, Kyriaki Michailidou, Qin Wang, Joe Dennis, Boyoung Park, Keitaro Matsuo, Ava Kwong, Sue Kyung Park, Anna H. Wu, Soo Hwang Teo, Motoki Iwasaki, Ji-Yeob Choi, Jingmei Li, Mikael Hartman, Chen-Yang Shen, Kenneth Muir, Artitaya Lophatananon, Bingshan Li, Wanqing Wen, Yu-Tang Gao, Yong-Bing Xiang, Kristan J. Aronson, John J. Spinell, Manuela Gago-Dominguez, Esther M. John, Allison W. Kurian, Jenny Chang-Claude, Shou-Tung Chen, Thilo Dörk, D. Gareth R. Evans, Marjanka K. Schmidt, Min-Ho Shin, Graham G. Giles, Roger L. Milne, Jacques Simard, Michiaki Kubo, Peter Kraft, Daehee Kang, Douglas F. Easton, Wei Zheng, and Jirong Long
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Medicine ,Medicine (General) ,R5-920 - Abstract
Background: We previously conducted a systematic field synopsis of 1059 breast cancer candidate gene studies and investigated 279 genetic variants, 51 of which showed associations. The major limitation of this work was the small sample size, even pooling data from all 1059 studies. Thereafter, genome-wide association studies (GWAS) have accumulated data for hundreds of thousands of subjects. It's necessary to re-evaluate these variants in large GWAS datasets. Methods: Of these 279 variants, data were obtained for 228 from GWAS conducted within the Asian Breast Cancer Consortium (24,206 cases and 24,775 controls) and the Breast Cancer Association Consortium (122,977 cases and 105,974 controls of European ancestry). Meta-analyses were conducted to combine the results from these two datasets. Findings: Of those 228 variants, an association was observed for 12 variants in 10 genes at a Bonferroni-corrected threshold of P
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- 2019
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12. Targeting conserved N-glycosylation blocks SARS-CoV-2 variant infection in vitro
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Hsiang-Chi Huang, Yun-Ju Lai, Chun-Che Liao, Wang-Feng Yang, Ke-Bin Huang, I-Jung Lee, Wen-Cheng Chou, Shih-Han Wang, Ling-Hui Wang, Jung-Mao Hsu, Cheng-Pu Sun, Chun-Tse Kuo, Jyun Wang, Tzu-Chun Hsiao, Po-Jiun Yang, Te-An Lee, Wilson Huang, Fu-An Li, Chen-Yang Shen, Yi-Ling Lin, Mi-Hua Tao, and Chia-Wei Li
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SARS-CoV-2 variant ,STT3A ,NGI-1 ,ADC ,Deglycosylation ,Medicine ,Medicine (General) ,R5-920 - Abstract
Background: Despite clinical success with anti-spike vaccines, the effectiveness of neutralizing antibodies and vaccines has been compromised by rapidly spreading SARS-CoV-2 variants. Viruses can hijack the glycosylation machinery of host cells to shield themselves from the host's immune response and attenuate antibody efficiency. However, it remains unclear if targeting glycosylation on viral spike protein can impair infectivity of SARS-CoV-2 and its variants. Methods: We adopted flow cytometry, ELISA, and BioLayer interferometry approaches to assess binding of glycosylated or deglycosylated spike with ACE2. Viral entry was determined by luciferase, immunoblotting, and immunofluorescence assays. Genome-wide association study (GWAS) revealed a significant relationship between STT3A and COVID-19 severity. NF-κB/STT3A-regulated N-glycosylation was investigated by gene knockdown, chromatin immunoprecipitation, and promoter assay. We developed an antibody-drug conjugate (ADC) that couples non-neutralization anti-spike antibody with NGI-1 (4G10-ADC) to specifically target SARS-CoV-2-infected cells. Findings: The receptor binding domain and three distinct SARS-CoV-2 surface N-glycosylation sites among 57,311 spike proteins retrieved from the NCBI-Virus-database are highly evolutionarily conserved (99.67%) and are involved in ACE2 interaction. STT3A is a key glycosyltransferase catalyzing spike glycosylation and is positively correlated with COVID-19 severity. We found that inhibiting STT3A using N-linked glycosylation inhibitor-1 (NGI-1) impaired SARS-CoV-2 infectivity and that of its variants [Alpha (B.1.1.7) and Beta (B.1.351)]. Most importantly, 4G10-ADC enters SARS-CoV-2-infected cells and NGI-1 is subsequently released to deglycosylate spike protein, thereby reinforcing the neutralizing abilities of antibodies, vaccines, or convalescent sera and reducing SARS-CoV-2 variant infectivity. Interpretation: Our results indicate that targeting evolutionarily-conserved STT3A-mediated glycosylation via an ADC can exert profound impacts on SARS-CoV-2 variant infectivity. Thus, we have identified a novel deglycosylation method suitable for eradicating SARS-CoV-2 variant infection in vitro. Funding: A full list of funding bodies that contributed to this study can be found in the Acknowledgements section
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- 2021
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13. Dose–Response Relationship Between Physical Activity and the Incidence of Peripheral Artery Disease in General Population: Insights From the National Health and Nutrition Examination Survey 1999–2004
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Cheng-Jia Qu, Le-Qun Teng, Xin-Nong Liu, Yong-Bao Zhang, Jie Fang, and Chen-Yang Shen
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peripheral artery disease ,physical activity ,ankle–brachial index ,metabolic equivalents ,dose–response relationship ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Purpose: A low ABI, ≦0.9, indicates peripheral artery disease (PAD) and physical activity (PA) represents an important non-surgical treatment for patients with PAD. However, as for the general population, the associations between PA, PAD, and their mutual dependence are not well-defined. Here we aimed to determine whether there is a dose–response relationship between PA and incidence of PAD in the general population using restricted cubic spline (RCS).Patients and methods: This study analyzed 1,370 adults aged ≧40 years who had participated in the National Health and Nutrition Examination Survey (NHANES) during 1999–2004. The ABI of the participants were measured by trained technicians, and PAD was defined as ABI ≦0.9. PA was obtained with a standard questionnaire, and metabolic equivalents (MET) were used to quantify the PA level. Logistic regression was used to assess the association between PA and incidence of PAD, and the dose–response relationship was analyzed with RCS.Results: PAD was present in 6.2% of the participants: 5.6% of males and 6.9% of females. After adjusting for potential confounders, compared with the first quartile (Q1) of MET, the odds ratios (ORs) of PAD for those with Q2, Q3, and Q4 of MET were 0.688 [95% confidence interval (CI) = 0.684–0.692], 0.463 (95% CI = 0.460–0.466), 0.816 (95% CI = 0.812–0.821), respectively (all p < 0.0001). The RCS regression showed that physical activity was related to the incidence of PAD in a non-linear manner (p for non-linearity < 0.0001). For females, the prevalence of PAD decreased as physical activity increased, reaching the minimum for activity at ~5,800 MET-min month−1 (OR = 0.425, 95% CI = 0.424–0.426), and for males, no plateau was found in this study.Conclusion: The prevalence of PAD is inversely associated with PA, and vigorous activities might help decrease PAD risk for general population. The prevalence of PAD reaches the minimum at ~5,800 MET-min month−1, representing a recommended PA value.
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- 2021
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14. Inhibitory Effects of Ursolic Acid on the Stemness and Progression of Human Breast Cancer Cells by Modulating Argonaute-2
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Wen-Ling Liao, Yu-Fan Liu, Tsung-Ho Ying, Jia-Ching Shieh, Yueh-Tzu Hung, Huei-Jane Lee, Chen-Yang Shen, and Chun-Wen Cheng
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breast cancer ,ursolic acid ,cancer stem cell ,argonaute-2 ,PTEN ,Biology (General) ,QH301-705.5 ,Chemistry ,QD1-999 - Abstract
The stemness and metastasis of cancer cells are crucial features in determining cancer progression. Argonaute-2 (AGO2) overexpression was reported to be associated with microRNA (miRNA) biogenesis, supporting the self-renewal and differentiation characteristics of cancer stem cells (CSCs). Ursolic acid (UA), a triterpene compound, has multiple biological functions, including anticancer activity. In this study, we find that UA inhibits the proliferation of MDA-MB-231 and MCF-7 breast cancer cell lines using the CCK-8 assay. UA induced a significant decrease in the fraction of CSC in which it was examined by changes in the expression of stemness biomarkers, including the Nanog and Oct4 genes. UA altered invasion and migration capacities by significant decreases in the levels of epithelial-to-mesenchymal transition (EMT) proteins of slug and vimentin. Furthermore, the co-reduction in oncogenic miRNA levels (miR-9 and miR-221) was a result of the down-modulation in AGO2 in breast cancer cells in vitro. Mechanically, UA increases PTEN expression to inactivate the FAK/PI3K/Akt/mTOR signaling pathway and the decreased level of c-Myc in quantitative RT-PCR and Western blot imaging analyses. Our current understanding of the anticancer potential of UA in interrupting between EMT programming and the state of CSC suggests that UA can contribute to improvements in the clinical practice of breast cancer.
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- 2022
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15. The Genetic Diversity and the Divergence Time in Extant Primitive Mayfly, Siphluriscus chinensis Ulmer, 1920 Using the Mitochondrial Genome
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Yao Tong, Chen-Yang Shen, Yu-Yang Zhao, Yi-Jie Lin, Lian Wu, Kenneth B. Storey, Dan-Na Yu, and Jia-Yong Zhang
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mitochondrial genome ,phylogenetic relationship ,divergence time ,cryptic species ,Genetics ,QH426-470 - Abstract
In this study, the mitochondrial (mt) genomes of Siphluriscus chinensis (Ephemeroptera: Siphluriscidae) were evaluated in specimens collected from two sites in China: Niutou Mountain, Zhejiang Province (S. chinensis NTS) and Leigong Mountain, Guizhou Province (S. chinensis LGS) and were successfully sequenced. The lengths of the mt genomes of S. chinensis NTS and S. chinensis LGS were 15,904 bp (ON729390) and 15,212 bp (ON729391), respectively. However, an in-depth comparison of the two mt genomes showed significant differences between the specimens collected from the two sites. A detailed analysis of the genetic distance between S. chinensis NTS and S. chinensis LGS was undertaken to further achieve an accurate delimitation of S. chinensis. The genetic distance between S. chinensis NTS and the other three species within Siphluriscidae was a high value, above 12.2%. The two mt genomes were used to reconstruct phylogenetic relationships and estimate divergence time. The results demonstrated robust differences between S. chinensis NTS and S. chinensis LGS, which revealed that a kind of cryptic species existed. Maximum likelihood (ML) and Bayesian inference (BI) analyses produced well-supported phylogenetic trees that showed evolutionary relationships between Siphluriscidae (((S. chinensis HQ875717 + S. chinensis MF352165) + S. chinensis LGS) + S. chinensis NTS). The most recent common ancestor (MRCA) of four species within Siphluriscidae began to diversify during the Neogene [11.80 million years ago (Mya); 95% highest posterior densities (HPD) = 6.17–19.28 Mya], and S. chinensis NTS was first to diverge from the branches of S. chinensis LGS. In short, based on mitochondrial genomes, our results showed that the specimens collected from Leigong Mountain, Guizhou Province (S. chinensis LGS) belonged to S. chinensis, and the specimens collected from Niutou Mountain, Zhejiang Province (S. chinensis NTS) were a cryptic species of S. chinensis.
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- 2022
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16. Intracellular Accumulation of IFN-λ4 Induces ER Stress and Results in Anti-Cirrhotic but Pro-HCV Effects
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Olusegun O. Onabajo, Fang Wang, Mei-Hsuan Lee, Oscar Florez-Vargas, Adeola Obajemu, Chizu Tanikawa, Joselin M. Vargas, Shu-Fen Liao, Ci Song, Yu-Han Huang, Chen-Yang Shen, A. Rouf Banday, Thomas R. O’Brien, Zhibin Hu, Koichi Matsuda, and Ludmila Prokunina-Olsson
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IFNL4 ,HCC (hepatocellular carcinoma) ,liver cirrhosis ,ER stress ,HCV (Hepatitis C) ,Immunologic diseases. Allergy ,RC581-607 - Abstract
IFNL3/IFNL4 polymorphisms are inversely associated with the risk of chronic hepatitis C virus (HCV) infection and cirrhosis, two major risk factors for developing hepatocellular carcinoma (HCC). To further explore these inverse associations and their molecular underpinnings, we analyzed IFNL3/IFNL4 polymorphisms represented by the IFNL4 genotype (presence of rs368234815-dG or rs12979860-T alleles) in HCV patients: 2969 from Japan and 2931 from Taiwan. IFNL4 genotype was associated with an increased risk of HCV-related HCC (OR=1.28, 95%CI=1.07-1.52, P=0.0058) in the general population of Japanese patients, but not in Taiwanese patients who achieved treatment-induced viral clearance. IFNL4 genotype was also associated with a decreased risk of cirrhosis (OR=0.66, 95%CI=0.46-0.93, P=0.018, in Taiwanese patients). We then engineered HepG2 cells to inducibly express IFN-λ4 in the presence or absence of interferon lambda receptor 1 (IFNLR1). Induction of IFN-λ4 resulted in its intracellular accumulation, mainly in lysosomes and late endosomes, and increased ER stress, leading to apoptosis and reduced proliferation. We identified the very-low-density lipoprotein receptor (VLDLR), which facilitates HCV entry into hepatocytes, as a transcript induced by IFN-λ4 but not IFN-λ3. Our results suggest that the molecular mechanisms underlying the anti-cirrhotic but pro-HCV associations observed for IFNL3/IFNL4 polymorphisms are, at least in part, contributed by intracellular accumulation of IFN-λ4 causing ER stress in hepatic cells.
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- 2021
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17. Blood multiomics reveal insights into population clusters with low prevalence of diabetes, dyslipidemia and hypertension.
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Ming-Wei Su, Chung-Ke Chang, Chien-Wei Lin, Shiu-Jie Ling, Chia-Ni Hsiung, Hou-Wei Chu, Pei-Ei Wu, and Chen-Yang Shen
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Medicine ,Science - Abstract
Diabetes, dyslipidemia and hypertension are important metabolic diseases that impose a great burden on many populations worldwide. However, certain population strata have reduced prevalence for all three diseases, but the underlying mechanisms are poorly understood. We sought to identify the phenotypic, genomic and metabolomic characteristics of the low-prevalence population to gain insights into possible innate non-susceptibility against metabolic diseases. We performed k-means cluster analysis of 16,792 subjects using anthropometric and clinical biochemistry data collected by the Taiwan Biobank. Nuclear magnetic resonance spectra-based metabolome analysis was carried out for 217 subjects with normal body mass index, good exercise habits and healthy lifestyles. We found that the gene APOA5 was significantly associated with reduced prevalence of disease, and lesser associations included the genes HIF1A, LIMA1, LPL, MLXIPL, and TRPC4. Blood plasma of subjects belonging to the low disease prevalence cluster exhibited lowered levels of the GlycA inflammation marker, very low-density lipoprotein and low-density lipoprotein cholesterol, triglycerides, valine and leucine compared to controls. Literature mining revealed that these genes and metabolites are biochemically linked, with the linkage between lipoprotein metabolism and inflammation being particularly prominent. The combination of phenomic, genomic and metabolomic analysis may also be applied towards the study of metabolic disease prevalence in other populations.
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- 2020
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18. Increased Cellular Levels of MicroRNA-9 and MicroRNA-221 Correlate with Cancer Stemness and Predict Poor Outcome in Human Breast Cancer
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Chun-Wen Cheng, Jyh-Cherng Yu, Yi-Hsien Hsieh, Wen-Ling Liao, Jia-Ching Shieh, Chung-Chin Yao, Huei-Jane Lee, Po-Ming Chen, Pei-Ei Wu, and Chen-Yang Shen
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Breast cancer ,MiR-9 ,MiR-221 ,Prognosis ,Stemness ,Physiology ,QP1-981 ,Biochemistry ,QD415-436 - Abstract
Background /Aims: Recent studies of microRNA (miRNA) involvement in tumorigenesis have indicated the critical role of these non-coding small RNAs in malignant transformation, but the prognostic role, if any, of miRNAs in breast cancer remains undetermined. Therefore, we assessed the prognostic significance of microRNA-9 (miR-9) and miR-221 in breast cancer toward the goal of understanding the contribution(s) of these miRNAs to cancer cell stemness. Methods: The level of each of miR-9 and miR-221 in 206 paired laser capture microdissected tumor cells and non-tumor cells was determined by quantitative reverse transcription-PCR (qRT-PCR). The relationship between the miRNA signature and clinicopathological data and prognosis of breast cancer was assessed. Identification of a stem cell-enriched side population was achieved with fluorescence-activated cell sorting and a sphere-forming assay. Wound healing, Boyden chamber assays, and western blotting were used to study the contribution of each miRNA to tumor cell migration and invasion. Results: We found that induction of miR-9 and miR-221 mimics conferred side-population cells to form spheroidal tumor colonies in suspension culture that maintained the mesenchymal stem-cell potential in non-invasive MCF-7 breast cancer cells. In contrast, knockdown of both miR-9 and miR-221 in invasive MDA-MB-231 breast cancer cells dramatically decreased the number of side-population colonies with stem cell-like potency, which reduced the capacity for tumor-cell renewal, invasion, and migration. Clinically, the mean proportion of miR-9- or miR-221-overexpressing cells was significantly greater in tumor cells compared with non-tumor cells (P < 0.05). Increased levels of miR-9 and miR-221 in breast tissue portended a significantly elevated risk of progression to malignancy with respect to larger tumor size, poor differentiation, late-stage evolution, lymph-node metastasis (P < 0.05), and lower overall survival (Ptrend = 0.017; eight-year follow-up). Conclusion: Our findings provide strong evidence that miR-9 and miR-221 can enhance the generation of cancer stem cells to yield an invasive phenotype and that overexpression of these miRNAs predicts a poor outcome for breast cancer patients.
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- 2018
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19. Genome-Wide Association Study of Lithium-Induced Dry Mouth in Bipolar I Disorder
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Lawrence Shih-Hsin Wu, Ming-Chyi Huang, Chih-Ken Chen, Chen-Yang Shen, Cathy Shen-Jang Fann, Chun-Yuan Lin, Chih-Chien Lin, and Andrew Tai-Ann Cheng
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bipolar I disorder ,lithium ,adverse drug reaction ,dry mouth ,genome-wide association study (GWAS) ,Medicine - Abstract
Dry mouth is a rather common unpleasant adverse drug reaction (ADR) to lithium treatment in bipolar disorders that often lead to poor adherence or early dropout. The aim of this study was to identify the genetic variants of dry mouth associated with lithium treatment in patients with bipolar I (BPI) disorder. In total, 1242 BPI patients who had ever received lithium treatment were identified by the Taiwan Bipolar Consortium for this study. The proportions of patients who experienced impaired drug compliance during lithium medication were comparable between those only with dry mouth and those with any other ADR (86% and 93%, respectively). Dry mouth appeared to be the most prevalent (47.3%) ADR induced by lithium treatment. From the study patients, 921 were included in a genome-wide association study (GWAS), and replication was conducted in the remaining 321 patients. The SNP rs10135918, located in the immunoglobulin heavy chain locus (IGH), showed the strongest associations in the GWAS (p = 2.12 × 10−37) and replication groups (p = 6.36 × 10−13) (dominant model) for dry mouth with a sensitivity of 84.9% in predicting dry mouth induced by lithium. Our results may be translated into clinical recommendation to help identify at-risk individuals for early identification and management of dry mouth, which will improve medication adherence.
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- 2021
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20. Reproductive profiles and risk of breast cancer subtypes: a multi-center case-only study
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Olivier Brouckaert, Anja Rudolph, Annouschka Laenen, Renske Keeman, Manjeet K. Bolla, Qin Wang, Adelheid Soubry, Hans Wildiers, Irene L. Andrulis, Volker Arndt, Matthias W. Beckmann, Javier Benitez, Carl Blomqvist, Stig E. Bojesen, Hiltrud Brauch, Paul Brennan, Hermann Brenner, Georgia Chenevix-Trench, Ji-Yeob Choi, Sten Cornelissen, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Mikael Eriksson, Peter A. Fasching, Jonine Figueroa, Henrik Flyger, Graham G. Giles, Anna González-Neira, Pascal Guénel, Per Hall, Antoinette Hollestelle, John L. Hopper, Hidemi Ito, Michael Jones, Daehee Kang, kConFab, Julia A. Knight, Veli-Matti Kosma, Jingmei Li, Annika Lindblom, Jenna Lilyquist, Artitaya Lophatananon, Arto Mannermaa, Siranoush Manoukian, Sara Margolin, Keitaro Matsuo, Kenneth Muir, Heli Nevanlinna, Paolo Peterlongo, Katri Pylkäs, Suleeporn Saajrang, Caroline Seynaeve, Chen-Yang Shen, Xiao-Ou Shu, Melissa C. Southey, Anthony Swerdlow, Soo-Hwang Teo, Rob A. E. M. Tollenaar, Thérèse Truong, Chiu-chen Tseng, Alexandra J. van den Broek, Carolien H. M. van Deurzen, Robert Winqvist, Anna H. Wu, Cheng Har Yip, Jyh-Cherng Yu, Wei Zheng, Roger L. Milne, Paul D. P. Pharoah, Douglas F. Easton, Marjanka K. Schmidt, Montserrat Garcia-Closas, Jenny Chang-Claude, Diether Lambrechts, and Patrick Neven
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Breast cancer subtype ,Age at breast cancer diagnosis ,Parity ,Age at first full-time pregnancy ,Age at menarche ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Previous studies have shown that reproductive factors are differentially associated with breast cancer (BC) risk by subtypes. The aim of this study was to investigate associations between reproductive factors and BC subtypes, and whether these vary by age at diagnosis. Methods We used pooled data on tumor markers (estrogen and progesterone receptor, human epidermal growth factor receptor-2 (HER2)) and reproductive risk factors (parity, age at first full-time pregnancy (FFTP) and age at menarche) from 28,095 patients with invasive BC from 34 studies participating in the Breast Cancer Association Consortium (BCAC). In a case-only analysis, we used logistic regression to assess associations between reproductive factors and BC subtype compared to luminal A tumors as a reference. The interaction between age and parity in BC subtype risk was also tested, across all ages and, because age was modeled non-linearly, specifically at ages 35, 55 and 75 years. Results Parous women were more likely to be diagnosed with triple negative BC (TNBC) than with luminal A BC, irrespective of age (OR for parity = 1.38, 95% CI 1.16–1.65, p = 0.0004; p for interaction with age = 0.076). Parous women were also more likely to be diagnosed with luminal and non-luminal HER2-like BCs and this effect was slightly more pronounced at an early age (p for interaction with age = 0.037 and 0.030, respectively). For instance, women diagnosed at age 35 were 1.48 (CI 1.01–2.16) more likely to have luminal HER2-like BC than luminal A BC, while this association was not significant at age 75 (OR = 0.72, CI 0.45–1.14). While age at menarche was not significantly associated with BC subtype, increasing age at FFTP was non-linearly associated with TNBC relative to luminal A BC. An age at FFTP of 25 versus 20 years lowered the risk for TNBC (OR = 0.78, CI 0.70–0.88, p
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- 2017
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21. Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies?
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JooYong Park, Ji-Yeob Choi, Jaesung Choi, Seokang Chung, Nan Song, Sue K. Park, Wonshik Han, Dong-Young Noh, Sei-Hyun Ahn, Jong Won Lee, Mi Kyung Kim, Sun Ha Jee, Wanqing Wen, Manjeet K. Bolla, Qin Wang, Joe Dennis, Kyriaki Michailidou, Mitul Shah, Don M. Conroy, Patricia A. Harrington, Rebecca Mayes, Kamila Czene, Per Hall, Lauren R. Teras, Alpa V. Patel, Fergus J. Couch, Janet E. Olson, Elinor J. Sawyer, Rebecca Roylance, Stig E. Bojesen, Henrik Flyger, Diether Lambrechts, Adinda Baten, Keitaro Matsuo, Hidemi Ito, Pascal Guénel, Thérèse Truong, Renske Keeman, Marjanka K. Schmidt, Anna H. Wu, Chiu-Chen Tseng, Angela Cox, Simon S. Cross, kConFab Investigators, Irene L. Andrulis, John L. Hopper, Melissa C. Southey, Pei-Ei Wu, Chen-Yang Shen, Peter A. Fasching, Arif B. Ekici, Kenneth Muir, Artitaya Lophatananon, Hermann Brenner, Volker Arndt, Michael E. Jones, Anthony J. Swerdlow, Reiner Hoppe, Yon-Dschun Ko, Mikael Hartman, Jingmei Li, Arto Mannermaa, Jaana M. Hartikainen, Javier Benitez, Anna González-Neira, Christopher A. Haiman, Thilo Dörk, Natalia V. Bogdanova, Soo Hwang Teo, Nur Aishah Mohd Taib, Olivia Fletcher, Nichola Johnson, Mervi Grip, Robert Winqvist, Carl Blomqvist, Heli Nevanlinna, Annika Lindblom, Camilla Wendt, Vessela N. Kristensen, NBCS Collaborators, Rob A. E. M. Tollenaar, Bernadette A. M. Heemskerk-Gerritsen, Paolo Radice, Bernardo Bonanni, Ute Hamann, Mehdi Manoochehri, James V. Lacey, Maria Elena Martinez, Alison M. Dunning, Paul D. P. Pharoah, Douglas F. Easton, Keun-Young Yoo, and Daehee Kang
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breast cancer ,estrogen ,gene-environment interaction ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
In this study we aim to examine gene–environment interactions (GxEs) between genes involved with estrogen metabolism and environmental factors related to estrogen exposure. GxE analyses were conducted with 1970 Korean breast cancer cases and 2052 controls in the case-control study, the Seoul Breast Cancer Study (SEBCS). A total of 11,555 SNPs from the 137 candidate genes were included in the GxE analyses with eight established environmental factors. A replication test was conducted by using an independent population from the Breast Cancer Association Consortium (BCAC), with 62,485 Europeans and 9047 Asians. The GxE tests were performed by using two-step methods in GxEScan software. Two interactions were found in the SEBCS. The first interaction was shown between rs13035764 of NCOA1 and age at menarche in the GE|2df model (p-2df = 1.2 × 10−3). The age at menarche before 14 years old was associated with the high risk of breast cancer, and the risk was higher when subjects had homozygous minor allele G. The second GxE was shown between rs851998 near ESR1 and height in the GE|2df model (p-2df = 1.1 × 10−4). Height taller than 160 cm was associated with a high risk of breast cancer, and the risk increased when the minor allele was added. The findings were not replicated in the BCAC. These results would suggest specificity in Koreans for breast cancer risk.
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- 2021
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22. MiR-139 Modulates Cancer Stem Cell Function of Human Breast Cancer through Targeting CXCR4
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Chun-Wen Cheng, Wen-Ling Liao, Po-Ming Chen, Jyh-Cherng Yu, Hui-Ping Shiau, Yi-Hsien Hsieh, Huei-Jane Lee, Yu-Chun Cheng, Pei-Ei Wu, and Chen-Yang Shen
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breast cancer ,microRNA ,CXCR4 ,cancer stem cell ,biomarker ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Elevated expression of C-X-C motif chemokine receptor 4 (CXCR4) correlates with chemotaxis, invasion, and cancer stem cell (CSC) properties within several solid-tumor malignancies. Recent studies reported that microRNA (miRNA) modulates the stemness of embryonic stem cells. We aimed to investigate the role of miRNA, via CXCR4-modulation, on CSC properties in breast cancer using cell lines and xenotransplantation mouse model and evaluated miR-193 levels in 191 patients with invasive ductal carcinoma. We validated miR-139 directly targets the 3′-untranslated region of CXCR4. Hoechst 33342 fluorescence-activated cell sorting (FACS) and sphere-forming assay were used to identify CSCs. MiR-139 suppressed breast CSCs with mesenchymal traits; led to decreased migration and invasion abilities through down-regulating CXCR4/p-Akt signaling. In lung cancer xenograft model of nude mice transplanted with human miR-139-carrying MDA-MB-231 cells, metastatic lung nodules were suppressed. Clinically, microdissected breast tumor tissues showed miR-139 reduction, compared to adjacent non-tumor tissues, that was significantly associated with worse clinicopathological features, including larger tumor size, advanced tumor stage and lymph node metastasis; moreover, reduced miR-139 level was predominately occurred in late-stage HER2-oreexpression tumors. Collectively, our findings highlight miR-139-mediated suppression of CXCR4/p-Akt signaling and thereby affected mesenchymal stem-cell genesis, indicating its potential as a therapeutic target for invasive breast cancer.
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- 2021
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23. The functional ALDH2 polymorphism is associated with breast cancer risk: A pooled analysis from the Breast Cancer Association Consortium
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Tomotaka Ugai, Roger L. Milne, Hidemi Ito, Kristan J. Aronson, Manjeet K. Bolla, Tsun Chan, Ching W. Chan, Ji‐Yeob Choi, Don M. Conroy, Joe Dennis, Alison M. Dunning, Douglas F. Easton, Valerie Gaborieau, Anna Gonzalez‐Neira, Mikael Hartman, Catherine S. Healey, Motoki Iwasaki, Esther M. John, Daehee Kang, Sung‐Won Kim, Ava Kwong, Artitaya Lophatananon, Kyriaki Michailidou, Nur Aishah Mohd Taib, Kenneth Muir, Sue K. Park, Paul D. P. Pharoah, Suleeporn Sangrajrang, Chen‐Yang Shen, Xiao‐Ou Shu, John J. Spinelli, Soo H. Teo, Daniel C. Tessier, Chiu‐Chen Tseng, Shoichiro Tsugane, Daniel Vincent, Qin Wang, Anna H. Wu, Pei‐Ei Wu, Wei Zheng, and Keitaro Matsuo
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acetaldehyde ,alcohol drinking ,aldehyde dehydrogenase‐2 ,breast cancer ,single nucleotide polymorphism ,Genetics ,QH426-470 - Abstract
Abstract Background Epidemiological studies consistently indicate that alcohol consumption is an independent risk factor for female breast cancer (BC). Although the aldehyde dehydrogenase 2 (ALDH2) polymorphism (rs671: Glu>Lys) has a strong effect on acetaldehyde metabolism, the association of rs671 with BC risk and its interaction with alcohol intake have not been fully elucidated. We conducted a pooled analysis of 14 case‐control studies, with individual data on Asian ancestry women participating in the Breast Cancer Association Consortium. Methods We included 12,595 invasive BC cases and 12,884 controls for the analysis of rs671 and BC risk, and 2,849 invasive BC cases and 3,680 controls for the analysis of the gene‐environment interaction between rs671 and alcohol intake for BC risk. The pooled odds ratios (OR) with 95% confidence intervals (CI) associated with rs671 and its interaction with alcohol intake for BC risk were estimated using logistic regression models. Results The Lys/Lys genotype of rs671 was associated with increased BC risk (OR = 1.16, 95% CI 1.03–1.30, p = 0.014). According to tumor characteristics, the Lys/Lys genotype was associated with estrogen receptor (ER)‐positive BC (OR = 1.19, 95% CI 1.05–1.36, p = 0.008), progesterone receptor (PR)‐positive BC (OR = 1.19, 95% CI 1.03–1.36, p = 0.015), and human epidermal growth factor receptor 2 (HER2)‐negative BC (OR = 1.25, 95% CI 1.05–1.48, p = 0.012). No evidence of a gene‐environment interaction was observed between rs671 and alcohol intake (p = 0.537). Conclusion This study suggests that the Lys/Lys genotype confers susceptibility to BC risk among women of Asian ancestry, particularly for ER‐positive, PR‐positive, and HER2‐negative tumor types.
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- 2019
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24. Functional mechanisms underlying pleiotropic risk alleles at the 19p13.1 breast–ovarian cancer susceptibility locus
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Kate Lawrenson, Siddhartha Kar, Karen McCue, Karoline Kuchenbaeker, Kyriaki Michailidou, Jonathan Tyrer, Jonathan Beesley, Susan J. Ramus, Qiyuan Li, Melissa K. Delgado, Janet M. Lee, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Banu K. Arun, Brita Arver, Elisa V. Bandera, Monica Barile, Rosa B. Barkardottir, Daniel Barrowdale, Matthias W. Beckmann, Javier Benitez, Andrew Berchuck, Maria Bisogna, Line Bjorge, Carl Blomqvist, William Blot, Natalia Bogdanova, Anders Bojesen, Stig E. Bojesen, Manjeet K. Bolla, Bernardo Bonanni, Anne-Lise Børresen-Dale, Hiltrud Brauch, Paul Brennan, Hermann Brenner, Fiona Bruinsma, Joan Brunet, Shaik Ahmad Buhari, Barbara Burwinkel, Ralf Butzow, Saundra S. Buys, Qiuyin Cai, Trinidad Caldes, Ian Campbell, Rikki Canniotto, Jenny Chang-Claude, Jocelyne Chiquette, Ji-Yeob Choi, Kathleen B. M. Claes, GEMO Study Collaborators, Linda S. Cook, Angela Cox, Daniel W. Cramer, Simon S. Cross, Cezary Cybulski, Kamila Czene, Mary B. Daly, Francesca Damiola, Agnieszka Dansonka-Mieszkowska, Hatef Darabi, Joe Dennis, Peter Devilee, Orland Diez, Jennifer A. Doherty, Susan M. Domchek, Cecilia M. Dorfling, Thilo Dörk, Martine Dumont, Hans Ehrencrona, Bent Ejlertsen, Steve Ellis, EMBRACE, Christoph Engel, Eunjung Lee, D. Gareth Evans, Peter A. Fasching, Lidia Feliubadalo, Jonine Figueroa, Dieter Flesch-Janys, Olivia Fletcher, Henrik Flyger, Lenka Foretova, Florentia Fostira, William D. Foulkes, Brooke L. Fridley, Eitan Friedman, Debra Frost, Gaetana Gambino, Patricia A. Ganz, Judy Garber, Montserrat García-Closas, Aleksandra Gentry-Maharaj, Maya Ghoussaini, Graham G. Giles, Rosalind Glasspool, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Ellen L. Goode, Marc T. Goodman, Mark H. Greene, Jacek Gronwald, Pascal Guénel, Christopher A. Haiman, Per Hall, Emily Hallberg, Ute Hamann, Thomas V. O. Hansen, Patricia A. Harrington, Mikael Hartman, Norhashimah Hassan, Sue Healey, The Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON), Florian Heitz, Josef Herzog, Estrid Høgdall, Claus K. Høgdall, Frans B. L. Hogervorst, Antoinette Hollestelle, John L. Hopper, Peter J. Hulick, Tomasz Huzarski, Evgeny N. Imyanitov, KConFab Investigators, Australian Ovarian Cancer Study Group, Claudine Isaacs, Hidemi Ito, Anna Jakubowska, Ramunas Janavicius, Allan Jensen, Esther M. John, Nichola Johnson, Maria Kabisch, Daehee Kang, Miroslav Kapuscinski, Beth Y. Karlan, Sofia Khan, Lambertus A. Kiemeney, Susanne Kruger Kjaer, Julia A. Knight, Irene Konstantopoulou, Veli-Matti Kosma, Vessela Kristensen, Jolanta Kupryjanczyk, Ava Kwong, Miguel de la Hoya, Yael Laitman, Diether Lambrechts, Nhu Le, Kim De Leeneer, Jenny Lester, Douglas A. Levine, Jingmei Li, Annika Lindblom, Jirong Long, Artitaya Lophatananon, Jennifer T. Loud, Karen Lu, Jan Lubinski, Arto Mannermaa, Siranoush Manoukian, Loic Le Marchand, Sara Margolin, Frederik Marme, Leon F. A. G. Massuger, Keitaro Matsuo, Sylvie Mazoyer, Lesley McGuffog, Catriona McLean, Iain McNeish, Alfons Meindl, Usha Menon, Arjen R. Mensenkamp, Roger L. Milne, Marco Montagna, Kirsten B. Moysich, Kenneth Muir, Anna Marie Mulligan, Katherine L. Nathanson, Roberta B. Ness, Susan L. Neuhausen, Heli Nevanlinna, Silje Nord, Robert L. Nussbaum, Kunle Odunsi, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Janet E. Olson, Curtis Olswold, David O’Malley, Irene Orlow, Nick Orr, Ana Osorio, Sue Kyung Park, Celeste L. Pearce, Tanja Pejovic, Paolo Peterlongo, Georg Pfeiler, Catherine M. Phelan, Elizabeth M. Poole, Katri Pylkäs, Paolo Radice, Johanna Rantala, Muhammad Usman Rashid, Gad Rennert, Valerie Rhenius, Kerstin Rhiem, Harvey A. Risch, Gus Rodriguez, Mary Anne Rossing, Anja Rudolph, Helga B. Salvesen, Suleeporn Sangrajrang, Elinor J. Sawyer, Joellen M. Schildkraut, Marjanka K. Schmidt, Rita K. Schmutzler, Thomas A. Sellers, Caroline Seynaeve, Mitul Shah, Chen-Yang Shen, Xiao-Ou Shu, Weiva Sieh, Christian F. Singer, Olga M. Sinilnikova, Susan Slager, Honglin Song, Penny Soucy, Melissa C. Southey, Marie Stenmark-Askmalm, Dominique Stoppa-Lyonnet, Christian Sutter, Anthony Swerdlow, Sandrine Tchatchou, Manuel R. Teixeira, Soo H. Teo, Kathryn L. Terry, Mary Beth Terry, Mads Thomassen, Maria Grazia Tibiletti, Laima Tihomirova, Silvia Tognazzo, Amanda Ewart Toland, Ian Tomlinson, Diana Torres, Thérèse Truong, Chiu-chen Tseng, Nadine Tung, Shelley S. Tworoger, Celine Vachon, Ans M. W. van den Ouweland, Helena C. van Doorn, Elizabeth J. van Rensburg, Laura J. Van't Veer, Adriaan Vanderstichele, Ignace Vergote, Joseph Vijai, Qin Wang, Shan Wang-Gohrke, Jeffrey N. Weitzel, Nicolas Wentzensen, Alice S. Whittemore, Hans Wildiers, Robert Winqvist, Anna H. Wu, Drakoulis Yannoukakos, Sook-Yee Yoon, Jyh-Cherng Yu, Wei Zheng, Ying Zheng, Kum Kum Khanna, Jacques Simard, Alvaro N. Monteiro, Juliet D. French, Fergus J. Couch, Matthew L. Freedman, Douglas F. Easton, Alison M. Dunning, Paul D. Pharoah, Stacey L. Edwards, Georgia Chenevix-Trench, Antonis C. Antoniou, and Simon A. Gayther
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Science - Abstract
A region on chromosome 19p13 is associated with the risk of developing ovarian and breast cancer. Here, the authors genotyped SNPs in this region in thousands of breast and ovarian cancer patients and identified SNPs associated with three genes, which were analysed with functional studies.
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- 2016
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25. Comprehensive Cohort Analysis of Mutational Spectrum in Early Onset Breast Cancer Patients
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Mohit K. Midha, Yu-Feng Huang, Hsiao-Hsiang Yang, Tan-Chi Fan, Nai-Chuan Chang, Tzu-Han Chen, Yu-Tai Wang, Wen-Hung Kuo, King-Jen Chang, Chen-Yang Shen, Alice L. Yu, Kuo-Ping Chiu, and Chien-Jen Chen
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early onset breast cancer (EOBC) ,missense mutations ,nonsynonymous mutations ,somatic mutations ,germline mutations ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Early onset breast cancer (EOBC), diagnosed at age ~40 or younger, is associated with a poorer prognosis and higher mortality rate compared to breast cancer diagnosed at age 50 or older. EOBC poses a serious threat to public health and requires in-depth investigation. We studied a cohort comprising 90 Taiwanese female patients, aiming to unravel the underlying mechanisms of EOBC etiopathogenesis. Sequence data generated by whole-exome sequencing (WES) and whole-genome sequencing (WGS) from white blood cell (WBC)–tumor pairs were analyzed to identify somatic missense mutations, copy number variations (CNVs) and germline missense mutations. Similar to regular breast cancer, the key somatic mutation-susceptibility genes of EOBC include TP53 (40% prevalence), PIK3CA (37%), GATA3 (17%) and KMT2C (17%), which are frequently reported in breast cancer; however, the structural protein-coding genes MUC17 (19%), FLG (16%) and NEBL (11%) show a significantly higher prevalence in EOBC. Furthermore, the top 2 genes harboring EOBC germline mutations, MUC16 (19%) and KRT18 (19%), encode structural proteins. Compared to conventional breast cancer, an unexpectedly higher number of EOBC susceptibility genes encode structural proteins. We suspect that mutations in structural proteins may increase physical permeability to environmental hormones and carcinogens and cause breast cancer to occur at a young age.
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- 2020
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26. Tumorigenic and Metastatic Role of CD44−/low/CD24−/low Cells in Luminal Breast Cancer
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Rajeev Vikram, Wen Cheng Chou, Shih-Chieh Hung, and Chen-Yang Shen
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breast cancer ,ALDH1A1 ,CD44 ,CD24 ,metastasis, ALDH ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Cells with high CD44 but low CD24 expression (CD44high/CD24−/low) and high aldehyde dehydrogenase activity (ALDHbr) are widely considered to be drivers of metastasis, therapy resistance and tumor recurrence in breast cancer. However, the role of the CD44high/CD24−/low and ALDHbr phenotypes in identifying tumorigenic cells in breast cancer remains controversial due to the discrepancy in their distribution and tumorigenic potential in intrinsic breast cancer subtypes. In this study, we analyzed the cells expressing these markers in six different breast cancer cell lines representing major breast cancer subtypes (T47D, MCF-7, BT-474, AU-565, Hs578T and MDA-MB-231). CD44high/CD24−/low, ALDHbr and CD44−/low/CD24−/low cell populations were isolated by flow cytometry and analyzed for hallmark stem cell characteristics of differentiation, migration, invasiveness and metastasis using in vitro and in vivo techniques. Our results demonstrate that the CD44−/low/CD24−/low cell population, which is enriched in luminal cell lines (T47D, MCF-7 and BT-474), possesses metastatic and tumorigenic properties. We also show that, contrary to previous claims, the expression of the ALDH1 isoform ALDH1A1 does not affect the tumorigenic potential of cell lines with high ALDH activity (BT-474 and AU-565). Further transcriptomic and clinical studies are needed to determine the potential of these markers as early diagnostic tools and treatment targets.
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- 2020
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27. Induction of G2/M Phase Arrest by Diosgenin via Activation of Chk1 Kinase and Cdc25C Regulatory Pathways to Promote Apoptosis in Human Breast Cancer Cells
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Wen-Ling Liao, Jing-Yi Lin, Jia-Ching Shieh, Hsiao-Fong Yeh, Yi-Hsien Hsieh, Yu-Chun Cheng, Huei-Jane Lee, Chen-Yang Shen, and Chun-Wen Cheng
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diosgenin ,breast cancer ,cell cycle ,chk1 ,apoptosis ,∆ψm ,Biology (General) ,QH301-705.5 ,Chemistry ,QD1-999 - Abstract
The anti-tumor activity of diosgenin, a new steroidal constituent present in fenugreek, on two human breast cancer cell lines, MCF-7 and Hs578T, was studied. Diosgenin treatment resulted in cell growth inhibition, cell cycle arrest, and apoptosis in concentration- and time-dependent manners in both cell lines. Western blot analyses of whole cell lysates for cell cycle proteins showed that diosgenin altered phosphorylated cyclin checkpoint1 (p-Chk1Ser345) and cyclin B expression, which resulted in G2/M phase blockade. Mechanistically, Cdc25C-Cdc2 signaling was involved in inactivating Chk1Ser345 by p53-dependence in MCF-7 cells and p21-dependence in Hs578T cells that are p53-deficient. Moreover, diosgenin induced a significant loss of the mitochondrial membrane potential in breast cancer cells, and prominently affected cell death through down-regulation of the anti-apoptotic protein, Bcl-2. This released cytochrome c and activated the caspase signaling cascade. Taken together, these findings reveal that the anti-proliferative activity of diosgenin involves the induction of G2/M phase arrest via modulating the Cdc25C-Cdc2-cyclin B pathway and mitochondria-mediated apoptosis in human breast cancer cell lines. This suggests the potential usefulness of diosgenin in treating breast cancer.
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- 2019
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28. Open and Endovascular Treatment of Trans-Atlantic Inter-Society Consensus II D Aortoiliac Occlusive Lesions: What Determines the Rate of Restenosis?
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Chen-Yang Shen, Yun-Feng Liu, Qing-Le Li, Yong-Bao Zhang, Yang Jiao, Miltiadis E Krokidis, and Xiao-Ming Zhang
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Aortoiliac Occlusive Lesions ,Reconstruction ,Restenosis ,Risk Factor ,Trans-Atlantic Inter-Society Consensus II ,Medicine - Abstract
Background: Open surgery is the preferred approach for the treatment of type D lesions according to the Trans-Atlantic Inter-Society Consensus (TASC) II guideline, but endovascular solutions also appear to be a valid option in selected patients. The study aimed to identify the risk factors of restenosis after open and endovascular reconstruction of symptomatic TASC II D aortoiliac occlusive lesions (AIOLs). Methods: Fifty-six patients (82 limbs) who underwent open repair and endovascular treatment (ET) for symptomatic TASC ΙΙ D AIOLs between March 2005 and December 2012 were retrospectively reviewed. Baseline characteristics, preoperative and postoperative imaging, and operation procedure reports were reviewed and analyzed. Restenosis after revascularization was assessed by duplex ultrasound or computed tomography angiogram. Kaplan-Meier survival analysis, Log-rank test, and multivariate Cox regression were used to evaluate the relevance between risk factors and patency. Results: The mean duration of follow-up was 42.8 ± 23.5 months (ranging from 3 to 90 months). Primary patency rates at 1-, 3-, 5-, and 7-year were 93.6%, 89.3%, 87.0%, and 70.3%, respectively. Restenosis after revascularization occurred in 11 limbs. Kaplan-Meier survival analysis and the Log-rank test revealed that diabetes, Rutherford classification ≥5 th and concurrent femoropopliteal TASC II type C/D lesions were significantly related to the duration of primary patency. According to the result of Cox regression, diabetes and femoropopliteal TASC ΙΙ type C/D lesions were identified as the risk factors for restenosis after revascularization. Conclusion: This study demonstrated that diabetes and femoropopliteal TASC ΙΙ type C/D lesions are risk factors associated with restenosis after open and ET of TASC II D AIOLs.
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- 2015
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29. Fine-Mapping of the 1p11.2 Breast Cancer Susceptibility Locus.
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Hisani N Horne, Charles C Chung, Han Zhang, Kai Yu, Ludmila Prokunina-Olsson, Kyriaki Michailidou, Manjeet K Bolla, Qin Wang, Joe Dennis, John L Hopper, Melissa C Southey, Marjanka K Schmidt, Annegien Broeks, Kenneth Muir, Artitaya Lophatananon, Peter A Fasching, Matthias W Beckmann, Olivia Fletcher, Nichola Johnson, Elinor J Sawyer, Ian Tomlinson, Barbara Burwinkel, Frederik Marme, Pascal Guénel, Thérèse Truong, Stig E Bojesen, Henrik Flyger, Javier Benitez, Anna González-Neira, Hoda Anton-Culver, Susan L Neuhausen, Hermann Brenner, Volker Arndt, Alfons Meindl, Rita K Schmutzler, Hiltrud Brauch, Ute Hamann, Heli Nevanlinna, Sofia Khan, Keitaro Matsuo, Hiroji Iwata, Thilo Dörk, Natalia V Bogdanova, Annika Lindblom, Sara Margolin, Arto Mannermaa, Veli-Matti Kosma, Georgia Chenevix-Trench, kConFab/AOCS Investigators, Anna H Wu, David Ven den Berg, Ann Smeets, Hui Zhao, Jenny Chang-Claude, Anja Rudolph, Paolo Radice, Monica Barile, Fergus J Couch, Celine Vachon, Graham G Giles, Roger L Milne, Christopher A Haiman, Loic Le Marchand, Mark S Goldberg, Soo H Teo, Nur A M Taib, Vessela Kristensen, Anne-Lise Borresen-Dale, Wei Zheng, Martha Shrubsole, Robert Winqvist, Arja Jukkola-Vuorinen, Irene L Andrulis, Julia A Knight, Peter Devilee, Caroline Seynaeve, Montserrat García-Closas, Kamila Czene, Hatef Darabi, Antoinette Hollestelle, John W M Martens, Jingmei Li, Wei Lu, Xiao-Ou Shu, Angela Cox, Simon S Cross, William Blot, Qiuyin Cai, Mitul Shah, Craig Luccarini, Caroline Baynes, Patricia Harrington, Daehee Kang, Ji-Yeob Choi, Mikael Hartman, Kee Seng Chia, Maria Kabisch, Diana Torres, Anna Jakubowska, Jan Lubinski, Suleeporn Sangrajrang, Paul Brennan, Susan Slager, Drakoulis Yannoukakos, Chen-Yang Shen, Ming-Feng Hou, Anthony Swerdlow, Nick Orr, Jacques Simard, Per Hall, Paul D P Pharoah, Douglas F Easton, Stephen J Chanock, Alison M Dunning, and Jonine D Figueroa
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Medicine ,Science - Abstract
The Cancer Genetic Markers of Susceptibility genome-wide association study (GWAS) originally identified a single nucleotide polymorphism (SNP) rs11249433 at 1p11.2 associated with breast cancer risk. To fine-map this locus, we genotyped 92 SNPs in a 900kb region (120,505,799-121,481,132) flanking rs11249433 in 45,276 breast cancer cases and 48,998 controls of European, Asian and African ancestry from 50 studies in the Breast Cancer Association Consortium. Genotyping was done using iCOGS, a custom-built array. Due to the complicated nature of the region on chr1p11.2: 120,300,000-120,505,798, that lies near the centromere and contains seven duplicated genomic segments, we restricted analyses to 429 SNPs excluding the duplicated regions (42 genotyped and 387 imputed). Per-allelic associations with breast cancer risk were estimated using logistic regression models adjusting for study and ancestry-specific principal components. The strongest association observed was with the original identified index SNP rs11249433 (minor allele frequency (MAF) 0.402; per-allele odds ratio (OR) = 1.10, 95% confidence interval (CI) 1.08-1.13, P = 1.49 x 10-21). The association for rs11249433 was limited to ER-positive breast cancers (test for heterogeneity P≤8.41 x 10-5). Additional analyses by other tumor characteristics showed stronger associations with moderately/well differentiated tumors and tumors of lobular histology. Although no significant eQTL associations were observed, in silico analyses showed that rs11249433 was located in a region that is likely a weak enhancer/promoter. Fine-mapping analysis of the 1p11.2 breast cancer susceptibility locus confirms this region to be limited to risk to cancers that are ER-positive.
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- 2016
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30. Model of human aging: Recent findings on Werner’s and Hutchinson-Gilford progeria syndromes
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Shian-ling Ding and Chen-Yang Shen
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Geriatrics ,RC952-954.6 - Abstract
Shian-ling Ding1, Chen-Yang Shen2,3,41Department of Nursing, Kang-Ning Junior College of Medical Care and Management, Taipei, Taiwan; 2Institute of Biomedical Sciences, and 3Life Science Library, Academia Sinica, Taipei, Taiwan; 4Graduate Institute of Environmental Science, China Medical University, Taichong, TaiwanAbstract: The molecular mechanisms involved in human aging are complicated. Two progeria syndromes, Werner’s syndrome (WS) and Hutchinson-Gilford progeria syndrome (HGPS), characterized by clinical features mimicking physiological aging at an early age, provide insights into the mechanisms of natural aging. Based on recent findings on WS and HGPS, we suggest a model of human aging. Human aging can be triggered by two main mechanisms, telomere shortening and DNA damage. In telomere-dependent aging, telomere shortening and dysfunction may lead to DNA damage responses which induce cellular senescence. In DNA damage-initiated aging, DNA damage accumulates, along with DNA repair deficiencies, resulting in genomic instability and accelerated cellular senescence. In addition, aging due to both mechanisms (DNA damage and telomere shortening) is strongly dependent on p53 status. These two mechanisms can also act cooperatively to increase the overall level of genomic instability, triggering the onset of human aging phenotypes.Keywords: human aging, Hutchinson-Gilford Progeria syndrome, Werner syndrome
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- 2008
31. The Effect of MicroRNA-124 Overexpression on Anti-Tumor Drug Sensitivity.
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Shiau-Mei Chen, Wen-Cheng Chou, Ling-Yueh Hu, Chia-Ni Hsiung, Hou-Wei Chu, Yuan-Ling Huang, Huan-Ming Hsu, Jyh-Cherng Yu, and Chen-Yang Shen
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Medicine ,Science - Abstract
MicroRNAs play critical roles in regulating various physiological processes, including growth and development. Previous studies have shown that microRNA-124 (miR-124) participates not only in regulation of early neurogenesis but also in suppression of tumorigenesis. In the present study, we found that overexpression of miR-124 was associated with reduced DNA repair capacity in cultured cancer cells and increased sensitivity of cells to DNA-damaging anti-tumor drugs, specifically those that cause the formation of DNA strand-breaks (SBs). We then examined which DNA repair-related genes, particularly the genes of SB repair, were regulated by miR-124. Two SB repair-related genes, encoding ATM interactor (ATMIN) and poly (ADP-ribose) polymerase 1 (PARP1), were strongly affected by miR-124 overexpression, by binding of miR-124 to the 3¢-untranslated region of their mRNAs. As a result, the capacity of cells to repair DNA SBs, such as those resulting from homologous recombination, was significantly reduced upon miR-124 overexpression. A particularly important therapeutic implication of this finding is that overexpression of miR-124 enhanced cell sensitivity to multiple DNA-damaging agents via ATMIN- and PARP1-mediated mechanisms. The translational relevance of this role of miR-124 in anti-tumor drug sensitivity is suggested by the finding that increased miR-124 expression correlates with better breast cancer prognosis, specifically in patients receiving chemotherapy. These findings suggest that miR-124 could potentially be used as a therapeutic agent to improve the efficacy of chemotherapy with DNA-damaging agents.
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- 2015
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32. High Prevalence of the BIM Deletion Polymorphism in Young Female Breast Cancer in an East Asian Country.
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Ching-Hung Lin, Chen-Yang Shen, Jih-Hsiang Lee, Chiun-Sheng Huang, Chih-Hsin Yang, Wen-Hung Kuo, Dwan-Ying Chang, Chia-Ni Hsiung, Kuan-Ting Kuo, Wei-Wu Chen, I-Chun Chen, Pei-Fang Wu, Sung-Hsin Kuo, Chien-Jen Chen, Yen-Shen Lu, and Ann-Lii Cheng
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Medicine ,Science - Abstract
A rapid surge of female breast cancer has been observed in young women in several East Asian countries. The BIM deletion polymorphism, which confers cell resistance to apoptosis, was recently found exclusively in East Asian people with prevalence rate of 12%. We aimed to evaluate the possible role of this genetic alteration in carcinogenesis of breast cancer in East Asians.Female healthy volunteers (n = 307), patients in one consecutive stage I-III breast cancer cohort (n = 692) and one metastatic breast cancer cohort (n = 189) were evaluated. BIM wild-type and deletion alleles were separately genotyped in genomic DNAs.Both cancer cohorts consistently showed inverse associations between the BIM deletion polymorphism and patient age (≤35 y vs. 36-50 y vs. >50 y: 29% vs. 22% vs. 15%, P = 0.006 in the consecutive cohort, and 40% vs. 23% vs. 13%, P = 0.023 in the metastatic cohort). In healthy volunteers, the frequencies of the BIM deletion polymorphism were similar (13%-14%) in all age groups. Further analyses indicated that the BIM deletion polymorphism was not associated with specific clinicopathologic features, but it was associated with poor overall survival (adjusted hazard ratio 1.71) in the consecutive cohort.BIM deletion polymorphism may be involved in the tumorigenesis of the early-onset breast cancer among East Asians.
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- 2015
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33. Burden of total and cause-specific mortality related to tobacco smoking among adults aged ≥ 45 years in Asia: a pooled analysis of 21 cohorts.
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Wei Zheng, Dale F McLerran, Betsy A Rolland, Zhenming Fu, Paolo Boffetta, Jiang He, Prakash Chandra Gupta, Kunnambath Ramadas, Shoichiro Tsugane, Fujiko Irie, Akiko Tamakoshi, Yu-Tang Gao, Woon-Puay Koh, Xiao-Ou Shu, Kotaro Ozasa, Yoshikazu Nishino, Ichiro Tsuji, Hideo Tanaka, Chien-Jen Chen, Jian-Min Yuan, Yoon-Ok Ahn, Keun-Young Yoo, Habibul Ahsan, Wen-Harn Pan, You-Lin Qiao, Dongfeng Gu, Mangesh Suryakant Pednekar, Catherine Sauvaget, Norie Sawada, Toshimi Sairenchi, Gong Yang, Renwei Wang, Yong-Bing Xiang, Waka Ohishi, Masako Kakizaki, Takashi Watanabe, Isao Oze, San-Lin You, Yumi Sugawara, Lesley M Butler, Dong-Hyun Kim, Sue K Park, Faruque Parvez, Shao-Yuan Chuang, Jin-Hu Fan, Chen-Yang Shen, Yu Chen, Eric J Grant, Jung Eun Lee, Rashmi Sinha, Keitaro Matsuo, Mark Thornquist, Manami Inoue, Ziding Feng, Daehee Kang, and John D Potter
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Medicine - Abstract
BackgroundTobacco smoking is a major risk factor for many diseases. We sought to quantify the burden of tobacco-smoking-related deaths in Asia, in parts of which men's smoking prevalence is among the world's highest.Methods and findingsWe performed pooled analyses of data from 1,049,929 participants in 21 cohorts in Asia to quantify the risks of total and cause-specific mortality associated with tobacco smoking using adjusted hazard ratios and their 95% confidence intervals. We then estimated smoking-related deaths among adults aged ≥45 y in 2004 in Bangladesh, India, mainland China, Japan, Republic of Korea, Singapore, and Taiwan-accounting for ∼71% of Asia's total population. An approximately 1.44-fold (95% CI = 1.37-1.51) and 1.48-fold (1.38-1.58) elevated risk of death from any cause was found in male and female ever-smokers, respectively. In 2004, active tobacco smoking accounted for approximately 15.8% (95% CI = 14.3%-17.2%) and 3.3% (2.6%-4.0%) of deaths, respectively, in men and women aged ≥45 y in the seven countries/regions combined, with a total number of estimated deaths of ∼1,575,500 (95% CI = 1,398,000-1,744,700). Among men, approximately 11.4%, 30.5%, and 19.8% of deaths due to cardiovascular diseases, cancer, and respiratory diseases, respectively, were attributable to tobacco smoking. Corresponding proportions for East Asian women were 3.7%, 4.6%, and 1.7%, respectively. The strongest association with tobacco smoking was found for lung cancer: a 3- to 4-fold elevated risk, accounting for 60.5% and 16.7% of lung cancer deaths, respectively, in Asian men and East Asian women aged ≥45 y.ConclusionsTobacco smoking is associated with a substantially elevated risk of mortality, accounting for approximately 2 million deaths in adults aged ≥45 y throughout Asia in 2004. It is likely that smoking-related deaths in Asia will continue to rise over the next few decades if no effective smoking control programs are implemented. Please see later in the article for the Editors' Summary.
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- 2014
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34. Genome-wide association study in east Asians identifies novel susceptibility loci for breast cancer.
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Jirong Long, Qiuyin Cai, Hyuna Sung, Jiajun Shi, Ben Zhang, Ji-Yeob Choi, Wanqing Wen, Ryan J Delahanty, Wei Lu, Yu-Tang Gao, Hongbing Shen, Sue K Park, Kexin Chen, Chen-Yang Shen, Zefang Ren, Christopher A Haiman, Keitaro Matsuo, Mi Kyung Kim, Ui Soon Khoo, Motoki Iwasaki, Ying Zheng, Yong-Bing Xiang, Kai Gu, Nathaniel Rothman, Wenjing Wang, Zhibin Hu, Yao Liu, Keun-Young Yoo, Dong-Young Noh, Bok-Ghee Han, Min Hyuk Lee, Hong Zheng, Lina Zhang, Pei-Ei Wu, Ya-Lan Shieh, Sum Yin Chan, Shenming Wang, Xiaoming Xie, Sung-Won Kim, Brian E Henderson, Loic Le Marchand, Hidemi Ito, Yoshio Kasuga, Sei-Hyun Ahn, Han Sung Kang, Kelvin Y K Chan, Hiroji Iwata, Shoichiro Tsugane, Chun Li, Xiao-Ou Shu, Dae-Hee Kang, and Wei Zheng
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Genetics ,QH426-470 - Abstract
Genetic factors play an important role in the etiology of both sporadic and familial breast cancer. We aimed to discover novel genetic susceptibility loci for breast cancer. We conducted a four-stage genome-wide association study (GWAS) in 19,091 cases and 20,606 controls of East-Asian descent including Chinese, Korean, and Japanese women. After analyzing 690,947 SNPs in 2,918 cases and 2,324 controls, we evaluated 5,365 SNPs for replication in 3,972 cases and 3,852 controls. Ninety-four SNPs were further evaluated in 5,203 cases and 5,138 controls, and finally the top 22 SNPs were investigated in up to 17,423 additional subjects (7,489 cases and 9,934 controls). SNP rs9485372, near the TGF-β activated kinase (TAB2) gene in chromosome 6q25.1, showed a consistent association with breast cancer risk across all four stages, with a P-value of 3.8×10(-12) in the combined analysis of all samples. Adjusted odds ratios (95% confidence intervals) were 0.89 (0.85-0.94) and 0.80 (0.75-0.86) for the A/G and A/A genotypes, respectively, compared with the genotype G/G. SNP rs9383951 (P = 1.9×10(-6) from the combined analysis of all samples), located in intron 5 of the ESR1 gene, and SNP rs7107217 (P = 4.6×10(-7)), located at 11q24.3, also showed a consistent association in each of the four stages. This study provides strong evidence for a novel breast cancer susceptibility locus represented by rs9485372, near the TAB2 gene (6q25.1), and identifies two possible susceptibility loci located in the ESR1 gene and 11q24.3, respectively.
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- 2012
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35. Comparison of 6q25 breast cancer hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC).
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Rebecca Hein, Melanie Maranian, John L Hopper, Miroslaw K Kapuscinski, Melissa C Southey, Daniel J Park, Marjanka K Schmidt, Annegien Broeks, Frans B L Hogervorst, H Bas Bueno-de-Mesquita, Kenneth R Muir, Artitaya Lophatananon, Suthee Rattanamongkongul, Puttisak Puttawibul, Peter A Fasching, Alexander Hein, Arif B Ekici, Matthias W Beckmann, Olivia Fletcher, Nichola Johnson, Isabel dos Santos Silva, Julian Peto, Elinor Sawyer, Ian Tomlinson, Michael Kerin, Nicola Miller, Frederick Marmee, Andreas Schneeweiss, Christof Sohn, Barbara Burwinkel, Pascal Guénel, Emilie Cordina-Duverger, Florence Menegaux, Thérèse Truong, Stig E Bojesen, Børge G Nordestgaard, Henrik Flyger, Roger L Milne, Jose Ignacio Arias Perez, M Pilar Zamora, Javier Benítez, Hoda Anton-Culver, Argyrios Ziogas, Leslie Bernstein, Christina A Clarke, Hermann Brenner, Heiko Müller, Volker Arndt, Christa Stegmaier, Nazneen Rahman, Sheila Seal, Clare Turnbull, Anthony Renwick, Alfons Meindl, Sarah Schott, Claus R Bartram, Rita K Schmutzler, Hiltrud Brauch, Ute Hamann, Yon-Dschun Ko, GENICA Network, Shan Wang-Gohrke, Thilo Dörk, Peter Schürmann, Johann H Karstens, Peter Hillemanns, Heli Nevanlinna, Tuomas Heikkinen, Kristiina Aittomäki, Carl Blomqvist, Natalia V Bogdanova, Iosif V Zalutsky, Natalia N Antonenkova, Marina Bermisheva, Darya Prokovieva, Albina Farahtdinova, Elza Khusnutdinova, Annika Lindblom, Sara Margolin, Arto Mannermaa, Vesa Kataja, Veli-Matti Kosma, Jaana Hartikainen, Xiaoqing Chen, Jonathan Beesley, Kconfab Investigators, AOCS Group, Diether Lambrechts, Hui Zhao, Patrick Neven, Hans Wildiers, Stefan Nickels, Dieter Flesch-Janys, Paolo Radice, Paolo Peterlongo, Siranoush Manoukian, Monica Barile, Fergus J Couch, Janet E Olson, Xianshu Wang, Zachary Fredericksen, Graham G Giles, Laura Baglietto, Catriona A McLean, Gianluca Severi, Kenneth Offit, Mark Robson, Mia M Gaudet, Joseph Vijai, Grethe Grenaker Alnæs, Vessela Kristensen, Anne-Lise Børresen-Dale, Esther M John, Alexander Miron, Robert Winqvist, Katri Pylkäs, Arja Jukkola-Vuorinen, Mervi Grip, Irene L Andrulis, Julia A Knight, Gord Glendon, Anna Marie Mulligan, Jonine D Figueroa, Montserrat García-Closas, Jolanta Lissowska, Mark E Sherman, Maartje Hooning, John W M Martens, Caroline Seynaeve, Margriet Collée, Per Hall, Keith Humpreys, Kamila Czene, Jianjun Liu, Angela Cox, Ian W Brock, Simon S Cross, Malcolm W R Reed, Shahana Ahmed, Maya Ghoussaini, Paul D P Pharoah, Daehee Kang, Keun-Young Yoo, Dong-Young Noh, Anna Jakubowska, Katarzyna Jaworska, Katarzyna Durda, Elżbieta Złowocka, Suleeporn Sangrajrang, Valerie Gaborieau, Paul Brennan, James McKay, Chen-Yang Shen, Jyh-Cherng Yu, Huan-Ming Hsu, Ming-Feng Hou, Nick Orr, Minouk Schoemaker, Alan Ashworth, Anthony Swerdlow, Amy Trentham-Dietz, Polly A Newcomb, Linda Titus, Kathleen M Egan, Georgia Chenevix-Trench, Antonis C Antoniou, Manjeet K Humphreys, Jonathan Morrison, Jenny Chang-Claude, Douglas F Easton, and Alison M Dunning
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Medicine ,Science - Abstract
The 6q25.1 locus was first identified via a genome-wide association study (GWAS) in Chinese women and marked by single nucleotide polymorphism (SNP) rs2046210, approximately 180 Kb upstream of ESR1. There have been conflicting reports about the association of this locus with breast cancer in Europeans, and a GWAS in Europeans identified a different SNP, tagged here by rs12662670. We examined the associations of both SNPs in up to 61,689 cases and 58,822 controls from forty-four studies collaborating in the Breast Cancer Association Consortium, of which four studies were of Asian and 39 of European descent. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI). Case-only analyses were used to compare SNP effects in Estrogen Receptor positive (ER+) versus negative (ER-) tumours. Models including both SNPs were fitted to investigate whether the SNP effects were independent. Both SNPs are significantly associated with breast cancer risk in both ethnic groups. Per-allele ORs are higher in Asian than in European studies [rs2046210: OR (A/G) = 1.36 (95% CI 1.26-1.48), p = 7.6 × 10(-14) in Asians and 1.09 (95% CI 1.07-1.11), p = 6.8 × 10(-18) in Europeans. rs12662670: OR (G/T) = 1.29 (95% CI 1.19-1.41), p = 1.2 × 10(-9) in Asians and 1.12 (95% CI 1.08-1.17), p = 3.8 × 10(-9) in Europeans]. SNP rs2046210 is associated with a significantly greater risk of ER- than ER+ tumours in Europeans [OR (ER-) = 1.20 (95% CI 1.15-1.25), p = 1.8 × 10(-17) versus OR (ER+) = 1.07 (95% CI 1.04-1.1), p = 1.3 × 10(-7), p(heterogeneity) = 5.1 × 10(-6)]. In these Asian studies, by contrast, there is no clear evidence of a differential association by tumour receptor status. Each SNP is associated with risk after adjustment for the other SNP. These results suggest the presence of two variants at 6q25.1 each independently associated with breast cancer risk in Asians and in Europeans. Of these two, the one tagged by rs2046210 is associated with a greater risk of ER- tumours.
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- 2012
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36. Breast cancer risk and 6q22.33: combined results from Breast Cancer Association Consortium and Consortium of Investigators on Modifiers of BRCA1/2.
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Tomas Kirchhoff, Mia M Gaudet, Antonis C Antoniou, Lesley McGuffog, Manjeet K Humphreys, Alison M Dunning, Stig E Bojesen, Børge G Nordestgaard, Henrik Flyger, Daehee Kang, Keun-Young Yoo, Dong-Young Noh, Sei-Hyun Ahn, Thilo Dork, Peter Schürmann, Johann H Karstens, Peter Hillemanns, Fergus J Couch, Janet Olson, Celine Vachon, Xianshu Wang, Angela Cox, Ian Brock, Graeme Elliott, Malcolm W R Reed, Barbara Burwinkel, Alfons Meindl, Hiltrud Brauch, Ute Hamann, Yon-Dschun Ko, GENICA Network, Annegien Broeks, Marjanka K Schmidt, Laura J Van 't Veer, Linde M Braaf, Nichola Johnson, Olivia Fletcher, Lorna Gibson, Julian Peto, Clare Turnbull, Sheila Seal, Anthony Renwick, Nazneen Rahman, Pei-Ei Wu, Jyh-Cherng Yu, Chia-Ni Hsiung, Chen-Yang Shen, Melissa C Southey, John L Hopper, Fleur Hammet, Thijs Van Dorpe, Anne-Sophie Dieudonne, Sigrid Hatse, Diether Lambrechts, Irene L Andrulis, Natalia Bogdanova, Natalia Antonenkova, Juri I Rogov, Daria Prokofieva, Marina Bermisheva, Elza Khusnutdinova, Christi J van Asperen, Robert A E M Tollenaar, Maartje J Hooning, Peter Devilee, Sara Margolin, Annika Lindblom, Roger L Milne, José Ignacio Arias, M Pilar Zamora, Javier Benítez, Gianluca Severi, Laura Baglietto, Graham G Giles, kConFab, AOCS Study Group, Amanda B Spurdle, Jonathan Beesley, Xiaoqing Chen, Helene Holland, Sue Healey, Shan Wang-Gohrke, Jenny Chang-Claude, Arto Mannermaa, Veli-Matti Kosma, Jaana Kauppinen, Vesa Kataja, Bjarni A Agnarsson, Maria A Caligo, Andrew K Godwin, Heli Nevanlinna, Tuomas Heikkinen, Zachary Fredericksen, Noralane Lindor, Katherine L Nathanson, Susan M Domchek, SWE-BRCA, Niklas Loman, Per Karlsson, Marie Stenmark Askmalm, Beatrice Melin, Anna von Wachenfeldt, HEBON, Frans B L Hogervorst, Martijn Verheus, Matti A Rookus, Caroline Seynaeve, Rogier A Oldenburg, Marjolijn J Ligtenberg, Margreet G E M Ausems, Cora M Aalfs, Hans J P Gille, Juul T Wijnen, Encarna B Gómez García, EMBRACE, Susan Peock, Margaret Cook, Clare T Oliver, Debra Frost, Craig Luccarini, Gabriella Pichert, Rosemarie Davidson, Carol Chu, Diana Eccles, Kai-Ren Ong, Jackie Cook, Fiona Douglas, Shirley Hodgson, D Gareth Evans, Rosalind Eeles, Bert Gold, Paul D P Pharoah, Kenneth Offit, Georgia Chenevix-Trench, Douglas F Easton, and BCAC/CIMBA
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Medicine ,Science - Abstract
Recently, a locus on chromosome 6q22.33 (rs2180341) was reported to be associated with increased breast cancer risk in the Ashkenazi Jewish (AJ) population, and this association was also observed in populations of non-AJ European ancestry. In the present study, we performed a large replication analysis of rs2180341 using data from 31,428 invasive breast cancer cases and 34,700 controls collected from 25 studies in the Breast Cancer Association Consortium (BCAC). In addition, we evaluated whether rs2180341 modifies breast cancer risk in 3,361 BRCA1 and 2,020 BRCA2 carriers from 11 centers in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Based on the BCAC data from women of European ancestry, we found evidence for a weak association with breast cancer risk for rs2180341 (per-allele odds ratio (OR) = 1.03, 95% CI 1.00-1.06, p = 0.023). There was evidence for heterogeneity in the ORs among studies (I(2) = 49.3%; p =
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- 2012
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37. Correction: Comparison of 6q25 Breast Cancer Hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC).
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Rebecca Hein, Melanie Maranian, John L. Hopper, Miroslaw K. Kapuscinski, Melissa C. Southey, Daniel J. Park, Marjanka K. Schmidt, Annegien Broeks, Frans B. L. Hogervorst, H. Bas Bueno-de-Mesquit, Kenneth R. Muir, Artitaya Lophatananon, Suthee Rattanamongkongul, Puttisak Puttawibul, Peter A. Fasching, Alexander Hein, Arif B. Ekici, Matthias W. Beckmann, Olivia Fletcher, Nichola Johnson, Isabel dos Santos Silva, Julian Peto, Elinor Sawyer, Ian Tomlinson, Michael Kerin, Nicola Miller, Frederick Marmee, Andreas Schneeweiss, Christof Sohn, Barbara Burwinkel, Pascal Guénel, Emilie Cordina-Duverger, Florence Menegaux, Thérèse Truong, Stig E. Bojesen, Børge G. Nordestgaard, Henrik Flyger, Roger L. Milne, Jose Ignacio Arias Perez, M. Pilar Zamora, Javier Benítez, Hoda Anton-Culver, Argyrios Ziogas, Leslie Bernstein, Christina A. Clarke, Hermann Brenner, Heiko Müller, Volker Arndt, Christa Stegmaier, Nazneen Rahman, Sheila Seal, Clare Turnbull, Anthony Renwick, Alfons Meindl, Sarah Schott, Claus R. Bartram, Rita K. Schmutzler, Hiltrud Brauch, Ute Hamann, Yon-Dschun Ko, Shan Wang-Gohrke, Thilo Dörk, Peter Schürmann, Johann H. Karstens, Peter Hillemanns, Heli Nevanlinna, Tuomas Heikkinen, Kristiina Aittomäki, Carl Blomqvist, Natalia V. Bogdanova, Iosif V. Zalutsky, Natalia N. Antonenkova, Marina Bermisheva, Darya Prokovieva, Albina Farahtdinova, Elza Khusnutdinova, Annika Lindblom, Sara Margolin, Arto Mannermaa, Vesa Kataja, Veli-Matti Kosma, Jaana Hartikainen, Xiaoqing Chen, Jonathan Beesley, kConFab Investigators, Diether Lambrechts, Hui Zhao, Patrick Neven, Hans Wildiers, Stefan Nickels, Dieter Flesch-Janys, Paolo Radice, Paolo Peterlongo, Siranoush Manoukian, Monica Barile, Fergus J. Couch, Janet E. Olson, Xianshu Wang, Zachary Fredericksen, Graham G. Giles, Laura Baglietto, Catriona A. McLean, Gianluca Severi, Kenneth Offit, Mark Robson, Mia M. Gaudet, Joseph Vijai, Grethe Grenaker Alnæs, Vessela Kristensen, Anne-Lise Børresen-Dale, Esther M. John, Alexander Miron, Robert Winqvist, Katri Pylkäs, Arja Jukkola-Vuorinen, Mervi Grip, Irene L. Andrulis, Julia A. Knight, Gord Glendon, Anna Marie Mulligan, Jonine D. Figueroa, Montserrat García-Closas, Jolanta Lissowska, Mark E. Sherman, Maartje Hooning, John W. M. Martens, Caroline Seynaeve, Margriet Collée, Per Hall, Keith Humpreys, Kamila Czene, Jianjun Liu, Angela Cox, Ian W. Brock, Simon S. Cross, Malcolm W. R. Reed, Shahana Ahmed, Maya Ghoussaini, Paul DP. Pharoah, Daehee Kang, Keun-Young Yoo, Dong-Young Noh, Anna Jakubowska, Katarzyna Jaworska, Katarzyna Durda, Elżbieta Złowocka, Suleeporn Sangrajrang, Valerie Gaborieau, Paul Brennan, James McKay, Chen-Yang Shen, Jyh-Cherng Yu, Huan-Ming Hsu, Ming-Feng Hou, Nick Orr, Minouk Schoemaker, Alan Ashworth, Anthony Swerdlow, Amy Trentham-Dietz, Polly A. Newcomb, Linda Titus, Kathleen M. Egan, Georgia Chenevix-Trench, Antonis C. Antoniou, Manjeet K. Humphreys, Jonathan Morrison, Jenny Chang-Claude, Douglas F. Easton, and Alison M. Dunning
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Medicine ,Science - Published
- 2012
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38. Body mass index and diabetes in Asia: a cross-sectional pooled analysis of 900,000 individuals in the Asia cohort consortium.
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Paolo Boffetta, Dale McLerran, Yu Chen, Manami Inoue, Rashmi Sinha, Jiang He, Prakash Chandra Gupta, Shoichiro Tsugane, Fujiko Irie, Akiko Tamakoshi, Yu-Tang Gao, Xiao-Ou Shu, Renwei Wang, Ichiro Tsuji, Shinichi Kuriyama, Keitaro Matsuo, Hiroshi Satoh, Chien-Jen Chen, Jian-Min Yuan, Keun-Young Yoo, Habibul Ahsan, Wen-Harn Pan, Dongfeng Gu, Mangesh Suryakant Pednekar, Shizuka Sasazuki, Toshimi Sairenchi, Gong Yang, Yong-Bing Xiang, Masato Nagai, Hideo Tanaka, Yoshikazu Nishino, San-Lin You, Woon-Puay Koh, Sue K Park, Chen-Yang Shen, Mark Thornquist, Daehee Kang, Betsy Rolland, Ziding Feng, Wei Zheng, and John D Potter
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Medicine ,Science - Abstract
The occurrence of diabetes has greatly increased in low- and middle-income countries, particularly in Asia, as has the prevalence of overweight and obesity; in European-derived populations, overweight and obesity are established causes of diabetes. The shape of the association of overweight and obesity with diabetes risk and its overall impact have not been adequately studied in Asia.A pooled cross-sectional analysis was conducted to evaluate the association between baseline body mass index (BMI, measured as weight in kg divided by the square of height in m) and self-reported diabetes status in over 900,000 individuals recruited in 18 cohorts from Bangladesh, China, India, Japan, Korea, Singapore and Taiwan. Logistic regression models were fitted to calculate cohort-specific odds ratios (OR) of diabetes for categories of increasing BMI, after adjustment for potential confounding factors. OR were pooled across cohorts using a random-effects meta-analysis. The sex- and age-adjusted prevalence of diabetes was 4.3% in the overall population, ranging from 0.5% to 8.2% across participating cohorts. Using the category 22.5-24.9 kg/m²) as reference, the OR for diabetes spanned from 0.58 (95% confidence interval [CI] 0.31, 0.76) for BMI lower than 15.0 kg/m² to 2.23 (95% CI 1.86, 2.67) for BMI higher than 34.9 kg/m². The positive association between BMI and diabetes prevalence was present in all cohorts and in all subgroups of the study population, although the association was stronger in individuals below age 50 at baseline (p-value of interaction
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- 2011
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39. Ancestry-shift refinement mapping of the C6orf97-ESR1 breast cancer susceptibility locus.
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Simon N Stacey, Patrick Sulem, Carlo Zanon, Sigurjon A Gudjonsson, Gudmar Thorleifsson, Agnar Helgason, Aslaug Jonasdottir, Soren Besenbacher, Jelena P Kostic, James D Fackenthal, Dezheng Huo, Clement Adebamowo, Temidayo Ogundiran, Janet E Olson, Zachary S Fredericksen, Xianshu Wang, Maxime P Look, Anieta M Sieuwerts, John W M Martens, Isabel Pajares, Maria D Garcia-Prats, Jose M Ramon-Cajal, Ana de Juan, Angeles Panadero, Eugenia Ortega, Katja K H Aben, Sita H Vermeulen, Fatemeh Asadzadeh, K C Anton van Engelenburg, Sara Margolin, Chen-Yang Shen, Pei-Ei Wu, Asta Försti, Per Lenner, Roger Henriksson, Robert Johansson, Kerstin Enquist, Göran Hallmans, Thorvaldur Jonsson, Helgi Sigurdsson, Kristin Alexiusdottir, Julius Gudmundsson, Asgeir Sigurdsson, Michael L Frigge, Larus Gudmundsson, Kristleifur Kristjansson, Bjarni V Halldorsson, Unnur Styrkarsdottir, Jeffrey R Gulcher, Kari Hemminki, Annika Lindblom, Lambertus A Kiemeney, Jose I Mayordomo, John A Foekens, Fergus J Couch, Olufunmilayo I Olopade, Daniel F Gudbjartsson, Unnur Thorsteinsdottir, Thorunn Rafnar, Oskar T Johannsson, and Kari Stefansson
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Genetics ,QH426-470 - Abstract
We used an approach that we term ancestry-shift refinement mapping to investigate an association, originally discovered in a GWAS of a Chinese population, between rs2046210[T] and breast cancer susceptibility. The locus is on 6q25.1 in proximity to the C6orf97 and estrogen receptor alpha (ESR1) genes. We identified a panel of SNPs that are correlated with rs2046210 in Chinese, but not necessarily so in other ancestral populations, and genotyped them in breast cancer case:control samples of Asian, European, and African origin, a total of 10,176 cases and 13,286 controls. We found that rs2046210[T] does not confer substantial risk of breast cancer in Europeans and Africans (OR = 1.04, P = 0.099, and OR = 0.98, P = 0.77, respectively). Rather, in those ancestries, an association signal arises from a group of less common SNPs typified by rs9397435. The rs9397435[G] allele was found to confer risk of breast cancer in European (OR = 1.15, P = 1.2 x 10(-3)), African (OR = 1.35, P = 0.014), and Asian (OR = 1.23, P = 2.9 x 10(-4)) population samples. Combined over all ancestries, the OR was 1.19 (P = 3.9 x 10(-7)), was without significant heterogeneity between ancestries (P(het) = 0.36) and the SNP fully accounted for the association signal in each ancestry. Haplotypes bearing rs9397435[G] are well tagged by rs2046210[T] only in Asians. The rs9397435[G] allele showed associations with both estrogen receptor positive and estrogen receptor negative breast cancer. Using early-draft data from the 1,000 Genomes project, we found that the risk allele of a novel SNP (rs77275268), which is closely correlated with rs9397435, disrupts a partially methylated CpG sequence within a known CTCF binding site. These studies demonstrate that shifting the analysis among ancestral populations can provide valuable resolution in association mapping.
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- 2010
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40. Identification of a functional genetic variant at 16q12.1 for breast cancer risk: results from the Asia Breast Cancer Consortium.
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Jirong Long, Qiuyin Cai, Xiao-Ou Shu, Shimian Qu, Chun Li, Ying Zheng, Kai Gu, Wenjing Wang, Yong-Bing Xiang, Jiarong Cheng, Kexin Chen, Lina Zhang, Hong Zheng, Chen-Yang Shen, Chiun-Sheng Huang, Ming-Feng Hou, Hongbing Shen, Zhibin Hu, Furu Wang, Sandra L Deming, Mark C Kelley, Martha J Shrubsole, Ui Soon Khoo, Kelvin Y K Chan, Sum Yin Chan, Christopher A Haiman, Brian E Henderson, Loic Le Marchand, Motoki Iwasaki, Yoshio Kasuga, Shoichiro Tsugane, Keitaro Matsuo, Kazuo Tajima, Hiroji Iwata, Bo Huang, Jiajun Shi, Guoliang Li, Wanqing Wen, Yu-Tang Gao, Wei Lu, and Wei Zheng
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Genetics ,QH426-470 - Abstract
Genetic factors play an important role in the etiology of breast cancer. We carried out a multi-stage genome-wide association (GWA) study in over 28,000 cases and controls recruited from 12 studies conducted in Asian and European American women to identify genetic susceptibility loci for breast cancer. After analyzing 684,457 SNPs in 2,073 cases and 2,084 controls in Chinese women, we evaluated 53 SNPs for fast-track replication in an independent set of 4,425 cases and 1,915 controls of Chinese origin. Four replicated SNPs were further investigated in an independent set of 6,173 cases and 6,340 controls from seven other studies conducted in Asian women. SNP rs4784227 was consistently associated with breast cancer risk across all studies with adjusted odds ratios (95% confidence intervals) of 1.25 (1.20-1.31) per allele (P = 3.2 x 10(-25)) in the pooled analysis of samples from all Asian samples. This SNP was also associated with breast cancer risk among European Americans (per allele OR = 1.19, 95% CI = 1.09-1.31, P = 1.3 x 10(-4), 2,797 cases and 2,662 controls). SNP rs4784227 is located at 16q12.1, a region identified previously for breast cancer risk among Europeans. The association of this SNP with breast cancer risk remained highly statistically significant in Asians after adjusting for previously-reported SNPs in this region. In vitro experiments using both luciferase reporter and electrophoretic mobility shift assays demonstrated functional significance of this SNP. These results provide strong evidence implicating rs4784227 as a functional causal variant for breast cancer in the locus 16q12.1 and demonstrate the utility of conducting genetic association studies in populations with different genetic architectures.
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- 2010
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41. Sentinel Surveillance for Enterovirus 71, Taiwan, 1998
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Trong-Neng Wu, Su-Fen Tsai, Shu-Fang Li, Tsuey-Fong Lee, Tzu-Mei Huang, Mei-Li Wang, Kwo-Hsiung Hsu, and Chen-Yang Shen
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China ,Taiwan ,Medicine ,Infectious and parasitic diseases ,RC109-216 - Abstract
Outbreaks of enterovirus 71 have been reported around the world since 1969. The most recent outbreak occurred in Taiwan during April-July 1998. This hand, foot, and mouth disease epidemic was detected by a sentinel surveillance system in April at the beginning of the outbreak, and the public was alerted.
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- 1999
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42. Supplementary Tables 1 - 3 from Pathway Analyses Identify TGFBR2 as Potential Breast Cancer Susceptibility Gene: Results from a Consortium Study among Asians
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Wei Zheng, Harold L. Moses, Xiao Ou Shu, Yu-Tang Gao, Shoichiro Tsugane, Hiroji Iwata, Kelvin Y.K. Chan, Yoshio Kasuga, Hidemi Ito, Xiaoming Xie, Shenming Wang, Ya-Lan Shieh, Pei-Ei Wu, Yao Liu, Zhibin Hu, Wenjing Wang, Ying Zheng, Bu-Tian Ji, Ben Zhang, Jirong Long, Motoki Iwasaki, Ui Soon Khoo, Keitaro Matsuo, Zefang Ren, Chen-Yang Shen, Hongbing Shen, Qiuyin Cai, Yong-Bing Xiang, Jiajun Shi, Wei Lu, Alicia Beeghly-Fadiel, and Xiangyu Ma
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PDF file, 199KB, Supplementary Table 1. TGF-β signaling pathway SNPs and breast cancer risk, Stage I. Supplementary Table 2. TGF-β signaling pathway variants showing an association with breast cancer risk (P value ≤0.05) in at least one genetic model, Stage 1. Supplementary Table 3. Results for TGF-β signaling pathway SNPs selected for Stage II evaluation (not presented in Table 3).
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- 2023
43. Supplementary Table 1 from Fine-Scale Mapping of the 4q24 Locus Identifies Two Independent Loci Associated with Breast Cancer Risk
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Wei Zheng, Douglas F. Easton, Alison M. Dunning, Georgia Chenevix-Trench, Jacques Simard, Paul D.P. Pharoah, Per Hall, Ying Zheng, M. Pilar Zamora, Cheng Har Yip, Anna Wu, Robert Winqvist, Wanqing Wen, Ans van den Ouweland, Chiu-chen Tseng, Thérèse Truong, Ian P.M. Tomlinson, Robert A.E.M. Tollenaar, Amanda Ewart Toland, Bernard Thienpont, Soo Hwang Teo, Anthony Swerdlow, Melissa C. Southey, Martha J. Shrubsole, Jiajun Shi, Chen-Yang Shen, Rita K. Schmutzler, Marjanka K. Schmidt, Elinor J. Sawyer, Suleeporn Sangrajrang, Anja Rudolph, Thomas Choudary Putti, Paolo Peterlongo, Nick Orr, Janet E. Olson, Silje Nord, Heli Nevanlinna, Susan L. Neuhausen, Kenneth Muir, Alfons Meindl, Catriona A. McLean, Keitaro Matsuo, Frederik Marme, Sara Margolin, Siranoush Manoukian, Arto Mannermaa, Jan Lubinski, Artitaya Lophatananon, Annika Lindblom, Jingmei Li, Loic Le Marchand, Diether Lambrechts, Veli-Matti Kosma, Julia A. Knight, Sofia Khan, Daehee Kang, Maria Kabisch, Nichola Johnson, Anna Jakubowska, Hidemi Ito, Chia-Ni Hsiung, John L. Hopper, Antoinette Hollestelle, Mikael Hartman, Ute Hamann, Christopher A. Haiman, Pascal Guénel, Mervi Grip, Graham G. Giles, Montserrat García-Closas, Valerie Gaborieau, Florentia Fostira, Henrik Flyger, Olivia Fletcher, Peter A. Fasching, Thilo Dörk, Arnaud Droit, Peter Devilee, Hatef Darabi, Kamila Czene, Simon S. Cross, Angela Cox, Fergus J. Couch, Ji-Yeob Choi, Jenny Chang-Claude, Sander Canisius, Hui Cai, Barbara Burwinkel, Thomas Brüning, Annegien Broeks, Louise Brinton, Hermann Brenner, Hiltrud Brauch, Stig E. Bojesen, Natalia Bogdanova, William Blot, Javier Benitez, Alicia Beeghly-Fadiel, Matthias W. Beckmann, Volker Arndt, Hoda Anton-Culver, Irene L. Andrulis, Siddhartha P. Kar, Jonathan Beesley, Qiuyin Cai, Xiao-Ou Shu, Roger L. Milne, Qin Wang, Manjeet K. Bolla, Maya Ghoussaini, Kyriaki Michailidou, Chenjie Zeng, Jirong Long, and Xingyi Guo
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Summary results for all SNPs at the 4q24 locus associated with breast cancer risk at P
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- 2023
44. Data from Fine-Scale Mapping of the 4q24 Locus Identifies Two Independent Loci Associated with Breast Cancer Risk
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Wei Zheng, Douglas F. Easton, Alison M. Dunning, Georgia Chenevix-Trench, Jacques Simard, Paul D.P. Pharoah, Per Hall, Ying Zheng, M. Pilar Zamora, Cheng Har Yip, Anna Wu, Robert Winqvist, Wanqing Wen, Ans van den Ouweland, Chiu-chen Tseng, Thérèse Truong, Ian P.M. Tomlinson, Robert A.E.M. Tollenaar, Amanda Ewart Toland, Bernard Thienpont, Soo Hwang Teo, Anthony Swerdlow, Melissa C. Southey, Martha J. Shrubsole, Jiajun Shi, Chen-Yang Shen, Rita K. Schmutzler, Marjanka K. Schmidt, Elinor J. Sawyer, Suleeporn Sangrajrang, Anja Rudolph, Thomas Choudary Putti, Paolo Peterlongo, Nick Orr, Janet E. Olson, Silje Nord, Heli Nevanlinna, Susan L. Neuhausen, Kenneth Muir, Alfons Meindl, Catriona A. McLean, Keitaro Matsuo, Frederik Marme, Sara Margolin, Siranoush Manoukian, Arto Mannermaa, Jan Lubinski, Artitaya Lophatananon, Annika Lindblom, Jingmei Li, Loic Le Marchand, Diether Lambrechts, Veli-Matti Kosma, Julia A. Knight, Sofia Khan, Daehee Kang, Maria Kabisch, Nichola Johnson, Anna Jakubowska, Hidemi Ito, Chia-Ni Hsiung, John L. Hopper, Antoinette Hollestelle, Mikael Hartman, Ute Hamann, Christopher A. Haiman, Pascal Guénel, Mervi Grip, Graham G. Giles, Montserrat García-Closas, Valerie Gaborieau, Florentia Fostira, Henrik Flyger, Olivia Fletcher, Peter A. Fasching, Thilo Dörk, Arnaud Droit, Peter Devilee, Hatef Darabi, Kamila Czene, Simon S. Cross, Angela Cox, Fergus J. Couch, Ji-Yeob Choi, Jenny Chang-Claude, Sander Canisius, Hui Cai, Barbara Burwinkel, Thomas Brüning, Annegien Broeks, Louise Brinton, Hermann Brenner, Hiltrud Brauch, Stig E. Bojesen, Natalia Bogdanova, William Blot, Javier Benitez, Alicia Beeghly-Fadiel, Matthias W. Beckmann, Volker Arndt, Hoda Anton-Culver, Irene L. Andrulis, Siddhartha P. Kar, Jonathan Beesley, Qiuyin Cai, Xiao-Ou Shu, Roger L. Milne, Qin Wang, Manjeet K. Bolla, Maya Ghoussaini, Kyriaki Michailidou, Chenjie Zeng, Jirong Long, and Xingyi Guo
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Background: A recent association study identified a common variant (rs9790517) at 4q24 to be associated with breast cancer risk. Independent association signals and potential functional variants in this locus have not been explored.Methods: We conducted a fine-mapping analysis in 55,540 breast cancer cases and 51,168 controls from the Breast Cancer Association Consortium.Results: Conditional analyses identified two independent association signals among women of European ancestry, represented by rs9790517 [conditional P = 2.51 × 10−4; OR, 1.04; 95% confidence interval (CI), 1.02–1.07] and rs77928427 (P = 1.86 × 10−4; OR, 1.04; 95% CI, 1.02–1.07). Functional annotation using data from the Encyclopedia of DNA Elements (ENCODE) project revealed two putative functional variants, rs62331150 and rs73838678 in linkage disequilibrium (LD) with rs9790517 (r2 ≥ 0.90) residing in the active promoter or enhancer, respectively, of the nearest gene, TET2. Both variants are located in DNase I hypersensitivity and transcription factor–binding sites. Using data from both The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC), we showed that rs62331150 was associated with level of expression of TET2 in breast normal and tumor tissue.Conclusion: Our study identified two independent association signals at 4q24 in relation to breast cancer risk and suggested that observed association in this locus may be mediated through the regulation of TET2.Impact: Fine-mapping study with large sample size warranted for identification of independent loci for breast cancer risk. Cancer Epidemiol Biomarkers Prev; 24(11); 1680–91. ©2015 AACR.
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- 2023
45. Supplementary Data from Diverse Associations between ESR1 Polymorphism and Breast Cancer Development and Progression
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Chen-Yang Shen, Pei-Ei Wu, Chun-Wen Cheng, Cathy S.J. Fann, Chien-Ching Chang, Yu Hsin Lin, Jar Yi Ho, Huan-Ming Hsu, Giu-Cheng Hsu, Shou-Tung Chen, Jyh-Cherng Yu, and Shian-ling Ding
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Supplementary Figures S1-S2 and Supplementary Tables S1-S2.
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- 2023
46. Supplementary Table 3 from Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor–Positive, Lower Grade Breast Cancer
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Douglas F. Easton, Georgia Chenevix-Trench, Qin Wang, Manjeet K. Humphreys, Xianshu Wang, Janet E. Olson, Albina Farahtdinova, Darya Prokofieva, Marina Bermisheva, Elza Khusnutdinova, Madeleine Tilanus-Linthorst, Rogier A. Oldenburg, Antoinette Hollestelle, Maartje Hooning, Mervi Grip, Arja Jukkola-Vuorinen, Katri Pylkäs, Robert Winqvist, Christina Justenhoven, Volker Harth, Ute Hamann, Jonathan Beesley, Xiaoqing Chen, Sara Lindstrom, Peter Kraft, Susan E. Hankinson, David J. Hunter, Sei-Hyun Ahn, Dong-Young Noh, Keun-Young Yoo, Daehee Kang, Katarzyna Durda, Katarzyna Jaworska, Jan Lubinski, Anna Jakubowska, Barbara Burwinkel, Christof Sohn, Andreas Schneeweiss, Frederik Marme, Karen A. Pooley, Alison M. Dunning, Paul D.P. Pharoah, Rob A.E.M. Tollenaar, Laura J. Van ‘t Veer, Annegien Broeks, Marjanka K. Schmidt, Nicola Miller, Michael Kerin, Ian Tomlinson, Elinor Sawyer, Argyrios Ziogas, Hoda Anton-Culver, Dieter Flesch-Janys, Stefan Nickels, Julian Peto, Isabel dos Santos Silva, Lorna J. Gibson, Olivia Fletcher, Robert N. Hoover, Gilles D. Thomas, Rita K. Schmutzler, Claus R. Bartram, Joerg Heil, Alfons Meindl, Jaana M. Hartikainen, Veli-Matti Kosma, Vesa Kataja, Arto Mannermaa, Anna Marie Mulligan, Gord Glendon, Julia A. Knight, Irene L. Andrulis, Christa Stegmaier, Volker Arndt, Heiko Müller, Hermann Brenner, Matthias W. Beckmann, Arif B. Ekici, Christian M. Bayer, Peter A. Fasching, Yuri I. Rogov, Iosif V. Zalutsky, Natalia N. Antonenkova, Natalia V. Bogdanova, Jonine D. Figueroa, Mark E. Sherman, Jolanta Lissowska, Stephen J. Chanock, Alexander Miron, Esther M. John, Laura Baglietto, Graham G. Giles, Monica Barile, Siranoush Manoukian, Paolo Peterlongo, Paolo Radice, Shan Wang-Gohrke, Jenny Chang-Claude, James McKay, Paul Brennan, Valerie Gaborieau, Suleeporn Sangrajrang, Karin Leunen, Giuseppe Floris, Betül T. Yesilyurt, Diether Lambrechts, Melissa C. Southey, Carmel Apicella, Gillian S. Dite, John L. Hopper, Anne-Lise Børrensen-Dale, Vessela Kristensen, Grethe Grenaker Alnæs, Charlotte Lanng, Stig E. Bojesen, Børge G. Nordestgaard, Ming-Feng Hou, Chiun-Sheng Huang, Jyh-Cherng Yu, Chen-Yang Shen, Nazneen Rahman, Anthony Renwick, Clare Turnbull, Sheila Seal, Simon S. Cross, Graeme Elliot, Ian W. Brock, Angela Cox, Peter Hillemanns, Johann H. Karstens, Peter Schürmann, Thilo Dörk, Javier Benítez, Jose Ignacio Arias Pérez, M. Pilar Zamora, Núria Malats, Zachary Fredericksen, Rebecca Hein, Gianluca Severi, Fergus J. Couch, Montserrat García-Closas, Ellen L. Goode, and Roger L. Milne
- Abstract
PDF file - 71K
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- 2023
47. Data from Diverse Associations between ESR1 Polymorphism and Breast Cancer Development and Progression
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Chen-Yang Shen, Pei-Ei Wu, Chun-Wen Cheng, Cathy S.J. Fann, Chien-Ching Chang, Yu Hsin Lin, Jar Yi Ho, Huan-Ming Hsu, Giu-Cheng Hsu, Shou-Tung Chen, Jyh-Cherng Yu, and Shian-ling Ding
- Abstract
Purpose: To test the hypothesis that polymorphisms of ESR1, the gene encoding estrogen receptor α (ERα), are associated with susceptibility, clinical phenotype, and progression of breast cancer.Patients and Methods: A case-control study was done on 940 patients with incident breast cancer and 1,547 healthy female controls. Fifteen single-nucleotide polymorphisms (SNP) selected from chr6:152,170,379-152,466,100 (exons 1–8 of the ESR1 gene, excluding flanking sequences), reflecting major polymorphisms of this gene, were genotyped. Frequencies of SNPs were compared between cases and controls to identify SNPs associated with cancer susceptibility and between cases with different clinical phenotypes to determine the role of ESR1 polymorphism in cancer progression.Results: SNPs located in one cluster in intron 1 and one haplotype, based on these SNPs, showed a significant association with breast cancer susceptibility. The tumorigenic contribution of these intron 1 SNPs was more obvious in combination with reproductive risk factors (P for interaction Conclusions: Our findings provide support for diverse roles of ESR1 polymorphism in determining susceptibility in different stages of breast cancer. The differences between the important ESR1 SNPs identified in Chinese women in this study and those identified in studies on Western women with breast cancer suggest different roles of ERα in these two populations. Clin Cancer Res; 16(13); 3473–84. ©2010 AACR.
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- 2023
48. Supplementary Table 2 from Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor–Positive, Lower Grade Breast Cancer
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Douglas F. Easton, Georgia Chenevix-Trench, Qin Wang, Manjeet K. Humphreys, Xianshu Wang, Janet E. Olson, Albina Farahtdinova, Darya Prokofieva, Marina Bermisheva, Elza Khusnutdinova, Madeleine Tilanus-Linthorst, Rogier A. Oldenburg, Antoinette Hollestelle, Maartje Hooning, Mervi Grip, Arja Jukkola-Vuorinen, Katri Pylkäs, Robert Winqvist, Christina Justenhoven, Volker Harth, Ute Hamann, Jonathan Beesley, Xiaoqing Chen, Sara Lindstrom, Peter Kraft, Susan E. Hankinson, David J. Hunter, Sei-Hyun Ahn, Dong-Young Noh, Keun-Young Yoo, Daehee Kang, Katarzyna Durda, Katarzyna Jaworska, Jan Lubinski, Anna Jakubowska, Barbara Burwinkel, Christof Sohn, Andreas Schneeweiss, Frederik Marme, Karen A. Pooley, Alison M. Dunning, Paul D.P. Pharoah, Rob A.E.M. Tollenaar, Laura J. Van ‘t Veer, Annegien Broeks, Marjanka K. Schmidt, Nicola Miller, Michael Kerin, Ian Tomlinson, Elinor Sawyer, Argyrios Ziogas, Hoda Anton-Culver, Dieter Flesch-Janys, Stefan Nickels, Julian Peto, Isabel dos Santos Silva, Lorna J. Gibson, Olivia Fletcher, Robert N. Hoover, Gilles D. Thomas, Rita K. Schmutzler, Claus R. Bartram, Joerg Heil, Alfons Meindl, Jaana M. Hartikainen, Veli-Matti Kosma, Vesa Kataja, Arto Mannermaa, Anna Marie Mulligan, Gord Glendon, Julia A. Knight, Irene L. Andrulis, Christa Stegmaier, Volker Arndt, Heiko Müller, Hermann Brenner, Matthias W. Beckmann, Arif B. Ekici, Christian M. Bayer, Peter A. Fasching, Yuri I. Rogov, Iosif V. Zalutsky, Natalia N. Antonenkova, Natalia V. Bogdanova, Jonine D. Figueroa, Mark E. Sherman, Jolanta Lissowska, Stephen J. Chanock, Alexander Miron, Esther M. John, Laura Baglietto, Graham G. Giles, Monica Barile, Siranoush Manoukian, Paolo Peterlongo, Paolo Radice, Shan Wang-Gohrke, Jenny Chang-Claude, James McKay, Paul Brennan, Valerie Gaborieau, Suleeporn Sangrajrang, Karin Leunen, Giuseppe Floris, Betül T. Yesilyurt, Diether Lambrechts, Melissa C. Southey, Carmel Apicella, Gillian S. Dite, John L. Hopper, Anne-Lise Børrensen-Dale, Vessela Kristensen, Grethe Grenaker Alnæs, Charlotte Lanng, Stig E. Bojesen, Børge G. Nordestgaard, Ming-Feng Hou, Chiun-Sheng Huang, Jyh-Cherng Yu, Chen-Yang Shen, Nazneen Rahman, Anthony Renwick, Clare Turnbull, Sheila Seal, Simon S. Cross, Graeme Elliot, Ian W. Brock, Angela Cox, Peter Hillemanns, Johann H. Karstens, Peter Schürmann, Thilo Dörk, Javier Benítez, Jose Ignacio Arias Pérez, M. Pilar Zamora, Núria Malats, Zachary Fredericksen, Rebecca Hein, Gianluca Severi, Fergus J. Couch, Montserrat García-Closas, Ellen L. Goode, and Roger L. Milne
- Abstract
PDF file - 94K
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- 2023
49. Data from Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor–Positive, Lower Grade Breast Cancer
- Author
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Douglas F. Easton, Georgia Chenevix-Trench, Qin Wang, Manjeet K. Humphreys, Xianshu Wang, Janet E. Olson, Albina Farahtdinova, Darya Prokofieva, Marina Bermisheva, Elza Khusnutdinova, Madeleine Tilanus-Linthorst, Rogier A. Oldenburg, Antoinette Hollestelle, Maartje Hooning, Mervi Grip, Arja Jukkola-Vuorinen, Katri Pylkäs, Robert Winqvist, Christina Justenhoven, Volker Harth, Ute Hamann, Jonathan Beesley, Xiaoqing Chen, Sara Lindstrom, Peter Kraft, Susan E. Hankinson, David J. Hunter, Sei-Hyun Ahn, Dong-Young Noh, Keun-Young Yoo, Daehee Kang, Katarzyna Durda, Katarzyna Jaworska, Jan Lubinski, Anna Jakubowska, Barbara Burwinkel, Christof Sohn, Andreas Schneeweiss, Frederik Marme, Karen A. Pooley, Alison M. Dunning, Paul D.P. Pharoah, Rob A.E.M. Tollenaar, Laura J. Van ‘t Veer, Annegien Broeks, Marjanka K. Schmidt, Nicola Miller, Michael Kerin, Ian Tomlinson, Elinor Sawyer, Argyrios Ziogas, Hoda Anton-Culver, Dieter Flesch-Janys, Stefan Nickels, Julian Peto, Isabel dos Santos Silva, Lorna J. Gibson, Olivia Fletcher, Robert N. Hoover, Gilles D. Thomas, Rita K. Schmutzler, Claus R. Bartram, Joerg Heil, Alfons Meindl, Jaana M. Hartikainen, Veli-Matti Kosma, Vesa Kataja, Arto Mannermaa, Anna Marie Mulligan, Gord Glendon, Julia A. Knight, Irene L. Andrulis, Christa Stegmaier, Volker Arndt, Heiko Müller, Hermann Brenner, Matthias W. Beckmann, Arif B. Ekici, Christian M. Bayer, Peter A. Fasching, Yuri I. Rogov, Iosif V. Zalutsky, Natalia N. Antonenkova, Natalia V. Bogdanova, Jonine D. Figueroa, Mark E. Sherman, Jolanta Lissowska, Stephen J. Chanock, Alexander Miron, Esther M. John, Laura Baglietto, Graham G. Giles, Monica Barile, Siranoush Manoukian, Paolo Peterlongo, Paolo Radice, Shan Wang-Gohrke, Jenny Chang-Claude, James McKay, Paul Brennan, Valerie Gaborieau, Suleeporn Sangrajrang, Karin Leunen, Giuseppe Floris, Betül T. Yesilyurt, Diether Lambrechts, Melissa C. Southey, Carmel Apicella, Gillian S. Dite, John L. Hopper, Anne-Lise Børrensen-Dale, Vessela Kristensen, Grethe Grenaker Alnæs, Charlotte Lanng, Stig E. Bojesen, Børge G. Nordestgaard, Ming-Feng Hou, Chiun-Sheng Huang, Jyh-Cherng Yu, Chen-Yang Shen, Nazneen Rahman, Anthony Renwick, Clare Turnbull, Sheila Seal, Simon S. Cross, Graeme Elliot, Ian W. Brock, Angela Cox, Peter Hillemanns, Johann H. Karstens, Peter Schürmann, Thilo Dörk, Javier Benítez, Jose Ignacio Arias Pérez, M. Pilar Zamora, Núria Malats, Zachary Fredericksen, Rebecca Hein, Gianluca Severi, Fergus J. Couch, Montserrat García-Closas, Ellen L. Goode, and Roger L. Milne
- Abstract
Background: The single-nucleotide polymorphism (SNP) 5p12-rs10941679 has been found to be associated with risk of breast cancer, particularly estrogen receptor (ER)-positive disease. We aimed to further explore this association overall, and by tumor histopathology, in the Breast Cancer Association Consortium.Methods: Data were combined from 37 studies, including 40,972 invasive cases, 1,398 cases of ductal carcinoma in situ (DCIS), and 46,334 controls, all of white European ancestry, as well as 3,007 invasive cases and 2,337 controls of Asian ancestry. Associations overall and by tumor invasiveness and histopathology were assessed using logistic regression.Results: For white Europeans, the per-allele OR associated with 5p12-rs10941679 was 1.11 (95% CI = 1.08–1.14, P = 7 × 10−18) for invasive breast cancer and 1.10 (95% CI = 1.01–1.21, P = 0.03) for DCIS. For Asian women, the estimated OR for invasive disease was similar (OR = 1.07, 95%CI = 0.99–1.15, P = 0.09). Further analyses suggested that the association in white Europeans was largely limited to progesterone receptor (PR)-positive disease (per-allele OR = 1.16, 95% CI = 1.12–1.20, P = 1 × 10−18 vs. OR = 1.03, 95% CI = 0.99–1.07, P = 0.2 for PR-negative disease; Pheterogeneity = 2 × 10−7); heterogeneity by ER status was not observed (P = 0.2) once PR status was accounted for. The association was also stronger for lower grade tumors [per-allele OR (95% CI) = 1.20 (1.14–1.25), 1.13 (1.09–1.16), and 1.04 (0.99–1.08) for grade 1, 2, and 3/4, respectively; Ptrend = 5 × 10−7].Conclusion: 5p12 is a breast cancer susceptibility locus for PR-positive, lower grade breast cancer.Impact: Multicenter fine-mapping studies of this region are needed as a first step to identifying the causal variant or variants. Cancer Epidemiol Biomarkers Prev; 20(10); 2222–31. ©2011 AACR.
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- 2023
50. Data from EGFR L858R Mutation and Polymorphisms of Genes Related to Estrogen Biosynthesis and Metabolism in Never-Smoking Female Lung Adenocarcinoma Patients
- Author
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Chien-Jen Chen, Pan-Chyr Yang, Gee-Chen Chang, Chen-Yang Shen, Chao A. Hsiung, Yuh-Min Chen, Wu-Chou Su, Ming-Shyan Huang, Kuan-Yu Chen, Ying-Huang Tsai, Cheng-Yen Chuang, Jiun-Yi Hsia, Chung-Ping Hsu, Chih-Yi Chen, Chi-Rne Tsai, Kuo-Hsuan Hsu, Yao-Jen Li, Kun-Chieh Chen, Tsung-Ying Yang, and Shi-Yi Yang
- Abstract
Purpose: To assess whether polymorphisms of genes related to estrogen biosynthesis and metabolism are associated with EGFR mutations.Experimental Design: We studied 617 patients with lung adenocarcinoma, including 302 never-smoking women. On the basis of multiple candidate genes approach, the effects of polymorphisms of CYP17, CYP19A1, ERα, and COMT in association with the occurrence of EGFR mutations were evaluated using logistic regression analysis.Results: In female never-smokers, significant associations with EGFR L858R mutation were found for the tetranucleotide (TTTA)n repeats in CYP19A1 (odds ratio, 2.6; 95%CI, 1.2–5.7 for 1 or 2 alleles with (TTTA)n repeats >7 compared with both alleles with (TTTA)n repeats ≤7), and the rs2234693 in ERα (OR, 2.1; 95% CI, 1.1–4.0 for C/T and C/C genotypes compared with T/T genotype). The C/C genotype (vs. T/T genotype) of ERα was significantly associated with EGFR L858R mutation (OR, 3.0; 95% CI, 1.1–8.1), in-frame deletion (OR, 2.9; 95% CI, 1.1–7.6) and other mutations (OR, 4.3; 95% CI, 1.3–14.0). The genotype of COMT rs4680 was significantly associated with EGFR L858R mutation in female and male never-smokers showing OR's (95% CI) of 1.8 (1.0–3.2) and 3.6 (1.1–11.3), respectively, for genotypes G/A and G/G compared with genotype A/A. The number of risk alleles of CYP17, CYP19A1, ERα, and COMT was associated with an increasing OR of EGFR L858R mutation in female never-smokers (P = 0.0002 for trend).Conclusions: The L858R mutation of EGFR is associated with polymorphisms of genes related to estrogen biosynthesis and metabolism in never-smoking female lung adenocarcinoma patients. Clin Cancer Res; 17(8); 2149–58. ©2011 AACR.
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- 2023
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