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15. Side reactions/changes in lithium-ion batteries : mechanisms and strategies for creating safer and better batteries

Author

Du, Hao, Wang, Yadong, Kang, Yuqiong, Zhao, Yun, Tian, Yao, Wang, Xianshu, Tan, Yihong, Liang, Zheng, Wozny, John, Li, Tao, Ren, Dongsheng, Wang, Li, He, Xiangming, Xiao, Peitao, Mao, Eryang, Tavajohi, Naser, Kang, Feiyu, Li, Baohua, Du, Hao, Wang, Yadong, Kang, Yuqiong, Zhao, Yun, Tian, Yao, Wang, Xianshu, Tan, Yihong, Liang, Zheng, Wozny, John, Li, Tao, Ren, Dongsheng, Wang, Li, He, Xiangming, Xiao, Peitao, Mao, Eryang, Tavajohi, Naser, Kang, Feiyu, and Li, Baohua

Abstract

Lithium-ion batteries (LIBs), in which lithium ions function as charge carriers, are considered the most competitive energy storage devices due to their high energy and power density. However, battery materials, especially with high capacity undergo side reactions and changes that result in capacity decay and safety issues. A deep understanding of the reactions that cause changes in the battery's internal components and the mechanisms of those reactions is needed to build safer and better batteries. This review focuses on the processes of battery failures, with voltage and temperature as the underlying factors. Voltage-induced failures result from anode interfacial reactions, current collector corrosion, cathode interfacial reactions, overcharge, and overdischarge, while temperature-induced failure mechanisms include SEI decomposition, separator damage, and interfacial reactions between electrodes and electrolytes. The review also presents protective strategies for controlling these reactions. As a result, the reader is offered a comprehensive overview of the safety features and failure mechanisms of various LIB components.

Published
2024
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17. Inherited variants in the inner centromere protein (INCENP) gene of the chromosomal passenger complex contribute to the susceptibility of ER-negative breast cancer

Author

Kabisch, Maria, Bermejo, Justo Lorenzo, Dünnebier, Thomas, Ying, Shibo, Michailidou, Kyriaki, Bolla, Manjeet K, Wang, Qin, Dennis, Joe, Shah, Mitul, Perkins, Barbara J, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Bojesen, Stig E, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Lambrechts, Diether, Neven, Patrick, Peeters, Stephanie, Weltens, Caroline, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Purrington, Kristen, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Peto, Julian, dos-Santos-Silva, Isabel, Johnson, Nichola, Fletcher, Olivia, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Schmidt, Marjanka K, Broeks, Annegien, Cornelissen, Sten, Hogervorst, Frans BL, Li, Jingmei, Brand, Judith S, Humphreys, Keith, Guénel, Pascal, Truong, Thérèse, Menegaux, Florence, Sanchez, Marie, Burwinkel, Barbara, Marmé, Frederik, Yang, Rongxi, Bugert, Peter, González-Neira, Anna, Benitez, Javier, Zamora, M Pilar, Perez, Jose I Arias, Cox, Angela, Cross, Simon S, Reed, Malcolm WR, Andrulis, Irene L, Knight, Julia A, Glendon, Gord, Tchatchou, Sandrine, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, Haiman, Christopher A, Schumacher, Fredrick, Henderson, Brian E, Le Marchand, Loic, Lindblom, Annika, Margolin, Sara, Hooning, Maartje J, Hollestelle, Antoinette, Kriege, Mieke, Koppert, Linetta B, Hopper, John L, Southey, Melissa C, Tsimiklis, Helen, Apicella, Carmel, Slettedahl, Seth, Toland, Amanda E, Vachon, Celine, Yannoukakos, Drakoulis, Giles, Graham G, Milne, Roger L, McLean, Catriona, Fasching, Peter A, Ruebner, Matthias, Ekici, Arif B, Beckmann, Matthias W, Brenner, Hermann, Dieffenbach, Aida K, Arndt, Volker, Stegmaier, Christa, Ashworth, Alan, Orr, Nicholas, Schoemaker, Minouk J, and Swerdlow, Anthony

Subjects
Cancer, Human Genome, Prevention, Breast Cancer, Genetics, Aetiology, 2.1 Biological and endogenous factors, 3' Untranslated Regions, Aurora Kinase B, Breast Neoplasms, Case-Control Studies, Cell Cycle Proteins, Chromosomal Proteins, Non-Histone, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Inhibitor of Apoptosis Proteins, Polymorphism, Single Nucleotide, Receptors, Estrogen, Risk, Survivin, White People, kConFab Investigators, Australian Ovarian Cancer Study Group, GENICA Network, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

The chromosomal passenger complex (CPC) plays a pivotal role in the regulation of cell division. Therefore, inherited CPC variability could influence tumor development. The present candidate gene approach investigates the relationship between single nucleotide polymorphisms (SNPs) in genes encoding key CPC components and breast cancer risk. Fifteen SNPs in four CPC genes (INCENP, AURKB, BIRC5 and CDCA8) were genotyped in 88 911 European women from 39 case-control studies of the Breast Cancer Association Consortium. Possible associations were investigated in fixed-effects meta-analyses. The synonymous SNP rs1675126 in exon 7 of INCENP was associated with overall breast cancer risk [per A allele odds ratio (OR) 0.95, 95% confidence interval (CI) 0.92-0.98, P = 0.007] and particularly with estrogen receptor (ER)-negative breast tumors (per A allele OR 0.89, 95% CI 0.83-0.95, P = 0.0005). SNPs not directly genotyped were imputed based on 1000 Genomes. The SNPs rs1047739 in the 3' untranslated region and rs144045115 downstream of INCENP showed the strongest association signals for overall (per T allele OR 1.03, 95% CI 1.00-1.06, P = 0.0009) and ER-negative breast cancer risk (per A allele OR 1.06, 95% CI 1.02-1.10, P = 0.0002). Two genotyped SNPs in BIRC5 were associated with familial breast cancer risk (top SNP rs2071214: per G allele OR 1.12, 95% CI 1.04-1.21, P = 0.002). The data suggest that INCENP in the CPC pathway contributes to ER-negative breast cancer susceptibility in the European population. In spite of a modest contribution of CPC-inherited variants to the total burden of sporadic and familial breast cancer, their potential as novel targets for breast cancer treatment should be further investigated.

Published
2015

18. Assessing associations between the AURKA-HMMR-TPX2-TUBG1 functional module and breast cancer risk in BRCA1/2 mutation carriers.

Author

Blanco, Ignacio, Kuchenbaecker, Karoline, Cuadras, Daniel, Wang, Xianshu, Barrowdale, Daniel, de Garibay, Gorka, Librado, Pablo, Sánchez-Gracia, Alejandro, Rozas, Julio, Bonifaci, Núria, McGuffog, Lesley, Pankratz, Vernon, Islam, Abul, Mateo, Francesca, Berenguer, Antoni, Petit, Anna, Català, Isabel, Brunet, Joan, Feliubadaló, Lidia, Tornero, Eva, Benítez, Javier, Osorio, Ana, Ramón y Cajal, Teresa, Nevanlinna, Heli, Aittomäki, Kristiina, Arun, Banu, Toland, Amanda, Karlan, Beth, Walsh, Christine, Lester, Jenny, Greene, Mark, Mai, Phuong, Nussbaum, Robert, Andrulis, Irene, Domchek, Susan, Nathanson, Katherine, Rebbeck, Timothy, Barkardottir, Rosa, Jakubowska, Anna, Lubinski, Jan, Durda, Katarzyna, Jaworska-Bieniek, Katarzyna, Claes, Kathleen, Van Maerken, Tom, Díez, Orland, Hansen, Thomas, Jønson, Lars, Gerdes, Anne-Marie, Ejlertsen, Bent, de la Hoya, Miguel, Caldés, Trinidad, Dunning, Alison, Oliver, Clare, Fineberg, Elena, Cook, Margaret, Peock, Susan, McCann, Emma, Murray, Alex, Jacobs, Chris, Pichert, Gabriella, Lalloo, Fiona, Chu, Carol, Dorkins, Huw, Paterson, Joan, Ong, Kai-Ren, Teixeira, Manuel, Hogervorst, Frans, van der Hout, Annemarie, Seynaeve, Caroline, van der Luijt, Rob, Ligtenberg, Marjolijn, Devilee, Peter, Wijnen, Juul, Rookus, Matti, Meijers-Heijboer, Hanne, Blok, Marinus, van den Ouweland, Ans, Aalfs, Cora, Rodriguez, Gustavo, Phillips, Kelly-Anne, Piedmonte, Marion, Nerenstone, Stacy, Bae-Jump, Victoria, OMalley, David, Ratner, Elena, Schmutzler, Rita, Wappenschmidt, Barbara, Rhiem, Kerstin, Engel, Christoph, Meindl, Alfons, Ditsch, Nina, Arnold, Norbert, Plendl, Hansjoerg, Niederacher, Dieter, Sutter, Christian, Wang-Gohrke, Shan, Steinemann, Doris, Preisler-Adams, Sabine, Kast, Karin, and Varon-Mateeva, Raymonda

Subjects
Aurora Kinase A, Breast Neoplasms, Carcinogenesis, Cell Cycle Proteins, Estrogen Receptor alpha, Evolution, Molecular, Extracellular Matrix Proteins, Female, Genes, BRCA1, Genes, BRCA2, Genetic Loci, Genetic Predisposition to Disease, Humans, Hyaluronan Receptors, Likelihood Functions, Mammary Glands, Human, Microtubule-Associated Proteins, Mutation, Nuclear Proteins, Polymorphism, Single Nucleotide, Retrospective Studies, Tubulin
Abstract

While interplay between BRCA1 and AURKA-RHAMM-TPX2-TUBG1 regulates mammary epithelial polarization, common genetic variation in HMMR (gene product RHAMM) may be associated with risk of breast cancer in BRCA1 mutation carriers. Following on these observations, we further assessed the link between the AURKA-HMMR-TPX2-TUBG1 functional module and risk of breast cancer in BRCA1 or BRCA2 mutation carriers. Forty-one single nucleotide polymorphisms (SNPs) were genotyped in 15,252 BRCA1 and 8,211 BRCA2 mutation carriers and subsequently analyzed using a retrospective likelihood approach. The association of HMMR rs299290 with breast cancer risk in BRCA1 mutation carriers was confirmed: per-allele hazard ratio (HR) = 1.10, 95% confidence interval (CI) 1.04-1.15, p = 1.9 x 10(-4) (false discovery rate (FDR)-adjusted p = 0.043). Variation in CSTF1, located next to AURKA, was also found to be associated with breast cancer risk in BRCA2 mutation carriers: rs2426618 per-allele HR = 1.10, 95% CI 1.03-1.16, p = 0.005 (FDR-adjusted p = 0.045). Assessment of pairwise interactions provided suggestions (FDR-adjusted pinteraction values > 0.05) for deviations from the multiplicative model for rs299290 and CSTF1 rs6064391, and rs299290 and TUBG1 rs11649877 in both BRCA1 and BRCA2 mutation carriers. Following these suggestions, the expression of HMMR and AURKA or TUBG1 in sporadic breast tumors was found to potentially interact, influencing patients survival. Together, the results of this study support the hypothesis of a causative link between altered function of AURKA-HMMR-TPX2-TUBG1 and breast carcinogenesis in BRCA1/2 mutation carriers.

Published
2015

22. Genetic variation in mitotic regulatory pathway genes is associated with breast tumor grade.

Author

Purrington, Kristen, Slettedahl, Seth, Bolla, Manjeet, Michailidou, Kyriaki, Czene, Kamila, Nevanlinna, Heli, Bojesen, Stig, Andrulis, Irene, Cox, Angela, Hall, Per, Carpenter, Jane, Yannoukakos, Drakoulis, Haiman, Christopher, Fasching, Peter, Mannermaa, Arto, Winqvist, Robert, Brenner, Hermann, Lindblom, Annika, Chenevix-Trench, Georgia, Benitez, Javier, Swerdlow, Anthony, Kristensen, Vessela, Guénel, Pascal, Meindl, Alfons, Darabi, Hatef, Eriksson, Mikael, Fagerholm, Rainer, Aittomäki, Kristiina, Blomqvist, Carl, Nordestgaard, Børge, Nielsen, Sune, Flyger, Henrik, Wang, Xianshu, Olswold, Curtis, Olson, Janet, Mulligan, Anna, Knight, Julia, Tchatchou, Sandrine, Reed, Malcolm, Cross, Simon, Liu, Jianjun, Li, Jingmei, Humphreys, Keith, Clarke, Christine, Scott, Rodney, Fostira, Florentia, Fountzilas, George, Konstantopoulou, Irene, Henderson, Brian, Schumacher, Fredrick, Le Marchand, Loic, Ekici, Arif, Hartmann, Arndt, Beckmann, Matthias, Hartikainen, Jaana, Kosma, Veli-Matti, Kataja, Vesa, Jukkola-Vuorinen, Arja, Pylkäs, Katri, Kauppila, Saila, Dieffenbach, Aida, Stegmaier, Christa, Arndt, Volker, Margolin, Sara, Balleine, Rosemary, Arias Perez, Jose, Pilar Zamora, M, Menéndez, Primitiva, Ashworth, Alan, Jones, Michael, Orr, Nick, Arveux, Patrick, Kerbrat, Pierre, Truong, Thérèse, Bugert, Peter, Toland, Amanda, Ambrosone, Christine, Labrèche, France, Goldberg, Mark, Dumont, Martine, Ziogas, Argyrios, Lee, Eunjung, Dite, Gillian, Apicella, Carmel, Southey, Melissa, Long, Jirong, Shrubsole, Martha, Deming-Halverson, Sandra, Ficarazzi, Filomena, Barile, Monica, Peterlongo, Paolo, Durda, Katarzyna, Jaworska-Bieniek, Katarzyna, Tollenaar, Robert, Seynaeve, Caroline, Brüning, Thomas, Ko, Yon-Dschun, Van Deurzen, Carolien, Martens, John, and Kriege, Mieke

Subjects
Breast Neoplasms, Carrier Proteins, Case-Control Studies, Female, Genetic Variation, Haplotypes, Humans, Neoplasm Staging, Polymorphism, Single Nucleotide, Receptor, Fibroblast Growth Factor, Type 2, Risk Factors, Tumor Suppressor Proteins
Abstract

Mitotic index is an important component of histologic grade and has an etiologic role in breast tumorigenesis. Several small candidate gene studies have reported associations between variation in mitotic genes and breast cancer risk. We measured associations between 2156 single nucleotide polymorphisms (SNPs) from 194 mitotic genes and breast cancer risk, overall and by histologic grade, in the Breast Cancer Association Consortium (BCAC) iCOGS study (n = 39 067 cases; n = 42 106 controls). SNPs in TACC2 [rs17550038: odds ratio (OR) = 1.24, 95% confidence interval (CI) 1.16-1.33, P = 4.2 × 10(-10)) and EIF3H (rs799890: OR = 1.07, 95% CI 1.04-1.11, P = 8.7 × 10(-6)) were significantly associated with risk of low-grade breast cancer. The TACC2 signal was retained (rs17550038: OR = 1.15, 95% CI 1.07-1.23, P = 7.9 × 10(-5)) after adjustment for breast cancer risk SNPs in the nearby FGFR2 gene, suggesting that TACC2 is a novel, independent genome-wide significant genetic risk locus for low-grade breast cancer. While no SNPs were individually associated with high-grade disease, a pathway-level gene set analysis showed that variation across the 194 mitotic genes was associated with high-grade breast cancer risk (P = 2.1 × 10(-3)). These observations will provide insight into the contribution of mitotic defects to histological grade and the etiology of breast cancer.

Published
2014

23. Genetic variation at CYP3A is associated with age at menarche and breast cancer risk: a case-control study.

Author

Johnson, Nichola, Dudbridge, Frank, Orr, Nick, Gibson, Lorna, Jones, Michael E, Schoemaker, Minouk J, Folkerd, Elizabeth J, Haynes, Ben P, Hopper, John L, Southey, Melissa C, Dite, Gillian S, Apicella, Carmel, Schmidt, Marjanka K, Broeks, Annegien, Van't Veer, Laura J, Atsma, Femke, Muir, Kenneth, Lophatananon, Artitaya, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Renner, Stefan P, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Miller, Nicola, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Guénel, Pascal, Truong, Therese, Cordina, Emilie, Menegaux, Florence, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Milne, Roger, Zamora, M Pilar, Arias Perez, Jose Ignacio, Benitez, Javier, Bernstein, Leslie, Anton-Culver, Hoda, Ziogas, Argyrios, Clarke Dur, Christina, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Dieffenbach, Aida Karina, Meindl, Alfons, Heil, Joerg, Bartram, Claus R, Schmutzler, Rita K, Brauch, Hiltrud, Justenhoven, Christina, Ko, Yon-Dschun, GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Matsuo, Keitaro, Dörk, Thilo, Bogdanova, Natalia V, Antonenkova, Natalia N, Lindblom, Annika, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana M, Chenevix-Trench, Georgia, Beesley, Jonathan, kConFab Investigators, Australian Ovarian Cancer Study Group, Wu, Anna H, Van den Berg, David, Tseng, Chiu-Chen, Lambrechts, Diether, Smeets, Dominiek, Neven, Patrick, Wildiers, Hans, Chang-Claude, Jenny, Rudolph, Anja, Nickels, Stefan, Flesch-Janys, Dieter, Radice, Paolo, Peterlongo, Paolo, Bonanni, Bernardo, Pensotti, Valeria, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Fredericksen, Zachary, Pankratz, Vernon S, Giles, Graham G, Severi, Gianluca, Baglietto, Laura, Haiman, Chris, Simard, Jacques, and Goldberg, Mark S

Subjects
GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, kConFab Investigators, Australian Ovarian Cancer Study Group, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Reproductive History, Risk Factors, Age Factors, Age of Onset, Premenopause, Menarche, Genotype, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, European Continental Ancestry Group, Female, Cytochrome P-450 CYP3A, Genetic Association Studies, Human Genome, Aging, Clinical Research, Cancer, Genetics, Breast Cancer, Oncology & Carcinogenesis, Oncology and Carcinogenesis
Abstract

IntroductionWe have previously shown that a tag single nucleotide polymorphism (rs10235235), which maps to the CYP3A locus (7q22.1), was associated with a reduction in premenopausal urinary estrone glucuronide levels and a modest reduction in risk of breast cancer in women age ≤50 years.MethodsWe further investigated the association of rs10235235 with breast cancer risk in a large case control study of 47,346 cases and 47,570 controls from 52 studies participating in the Breast Cancer Association Consortium. Genotyping of rs10235235 was conducted using a custom Illumina Infinium array. Stratified analyses were conducted to determine whether this association was modified by age at diagnosis, ethnicity, age at menarche or tumor characteristics.ResultsWe confirmed the association of rs10235235 with breast cancer risk for women of European ancestry but found no evidence that this association differed with age at diagnosis. Heterozygote and homozygote odds ratios (ORs) were OR = 0.98 (95% CI 0.94, 1.01; P = 0.2) and OR = 0.80 (95% CI 0.69, 0.93; P = 0.004), respectively (P(trend) = 0.02). There was no evidence of effect modification by tumor characteristics. rs10235235 was, however, associated with age at menarche in controls (P(trend) = 0.005) but not cases (P(trend) = 0.97). Consequently the association between rs10235235 and breast cancer risk differed according to age at menarche (P(het) = 0.02); the rare allele of rs10235235 was associated with a reduction in breast cancer risk for women who had their menarche age ≥15 years (OR(het) = 0.84, 95% CI 0.75, 0.94; OR(hom) = 0.81, 95% CI 0.51, 1.30; P(trend) = 0.002) but not for those who had their menarche age ≤11 years (OR(het) = 1.06, 95% CI 0.95, 1.19, OR(hom) = 1.07, 95% CI 0.67, 1.72; P(trend) = 0.29).ConclusionsTo our knowledge rs10235235 is the first single nucleotide polymorphism to be associated with both breast cancer risk and age at menarche consistent with the well-documented association between later age at menarche and a reduction in breast cancer risk. These associations are likely mediated via an effect on circulating hormone levels.

Published
2014

24. Genome-wide association study identifies 25 known breast cancer susceptibility loci as risk factors for triple-negative breast cancer.

Author

Purrington, Kristen, Slager, Susan, Eccles, Diana, Yannoukakos, Drakoulis, Fasching, Peter, Miron, Penelope, Carpenter, Jane, Chang-Claude, Jenny, Martin, Nicholas, Montgomery, Grant, Kristensen, Vessela, Goodfellow, Paul, Tapper, William, Rafiq, Sajjad, Gerty, Susan, Durcan, Lorraine, Konstantopoulou, Irene, Fostira, Florentia, Vratimos, Athanassios, Apostolou, Paraskevi, Konstanta, Irene, Kotoula, Vassiliki, Lakis, Sotiris, Dimopoulos, Meletios, Skarlos, Dimosthenis, Pectasides, Dimitrios, Fountzilas, George, Beckmann, Matthias, Hein, Alexander, Ruebner, Matthias, Ekici, Arif, Hartmann, Arndt, Schulz-Wendtland, Ruediger, Renner, Stefan, Janni, Wolfgang, Rack, Brigitte, Scholz, Christoph, Neugebauer, Julia, Andergassen, Ulrich, Lux, Michael, Haeberle, Lothar, Clarke, Christine, Pathmanathan, Nirmala, Rudolph, Anja, Flesch-Janys, Dieter, Nickels, Stefan, Olson, Janet, Ingle, James, Olswold, Curtis, Slettedahl, Seth, Eckel-Passow, Jeanette, Anderson, S, Visscher, Daniel, Cafourek, Victoria, Sicotte, Hugues, Prodduturi, Naresh, Weiderpass, Elisabete, Bernstein, Leslie, Ivanovich, Jennifer, Giles, Graham, Baglietto, Laura, Southey, Melissa, Kosma, Veli-Matti, Fischer, Hans-Peter, Reed, Malcom, Cross, Simon, Deming-Halverson, Sandra, Shrubsole, Martha, Cai, Qiuyin, Shu, Xiao-Ou, Daly, Mary, Weaver, Joellen, Ross, Eric, Klemp, Jennifer, Sharma, Priyanka, Torres, Diana, Rüdiger, Thomas, Wölfing, Heidrun, Ulmer, Hans-Ulrich, Försti, Asta, Khoury, Thaer, Kumar, Shicha, Pilarski, Robert, Shapiro, Charles, Greco, Dario, Heikkilä, Päivi, Aittomäki, Kristiina, Blomqvist, Carl, Irwanto, Astrid, Liu, Jianjun, Pankratz, Vernon, Wang, Xianshu, Severi, Gianluca, Mannermaa, Arto, Easton, Douglas, Hall, Per, Brauch, Hiltrud, Cox, Angela, Zheng, Wei, and Godwin, Andrew

Subjects
Adult, Aged, Aged, 80 and over, Case-Control Studies, Chromosomes, Human, Pair 19, Estrogen Receptor alpha, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Middle Aged, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Triple Negative Breast Neoplasms, Young Adult
Abstract

Triple-negative (TN) breast cancer is an aggressive subtype of breast cancer associated with a unique set of epidemiologic and genetic risk factors. We conducted a two-stage genome-wide association study of TN breast cancer (stage 1: 1529 TN cases, 3399 controls; stage 2: 2148 cases, 1309 controls) to identify loci that influence TN breast cancer risk. Variants in the 19p13.1 and PTHLH loci showed genome-wide significant associations (P < 5 × 10(-) (8)) in stage 1 and 2 combined. Results also suggested a substantial enrichment of significantly associated variants among the single nucleotide polymorphisms (SNPs) analyzed in stage 2. Variants from 25 of 74 known breast cancer susceptibility loci were also associated with risk of TN breast cancer (P < 0.05). Associations with TN breast cancer were confirmed for 10 loci (LGR6, MDM4, CASP8, 2q35, 2p24.1, TERT-rs10069690, ESR1, TOX3, 19p13.1, RALY), and we identified associations with TN breast cancer for 15 additional breast cancer loci (P < 0.05: PEX14, 2q24.1, 2q31.1, ADAM29, EBF1, TCF7L2, 11q13.1, 11q24.3, 12p13.1, PTHLH, NTN4, 12q24, BRCA2, RAD51L1-rs2588809, MKL1). Further, two SNPs independent of previously reported signals in ESR1 [rs12525163 odds ratio (OR) = 1.15, P = 4.9 × 10(-) (4)] and 19p13.1 (rs1864112 OR = 0.84, P = 1.8 × 10(-) (9)) were associated with TN breast cancer. A polygenic risk score (PRS) for TN breast cancer based on known breast cancer risk variants showed a 4-fold difference in risk between the highest and lowest PRS quintiles (OR = 4.03, 95% confidence interval 3.46-4.70, P = 4.8 × 10(-) (69)). This translates to an absolute risk for TN breast cancer ranging from 0.8% to 3.4%, suggesting that genetic variation may be used for TN breast cancer risk prediction.

Published
2014

25. A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46,450 cases and 42,461 controls from the breast cancer association consortium.

Author

Milne, Roger, Herranz, Jesús, Michailidou, Kyriaki, Dennis, Joe, Tyrer, Jonathan, Zamora, M, Arias-Perez, José, González-Neira, Anna, Pita, Guillermo, Alonso, M, Wang, Qin, Bolla, Manjeet, Czene, Kamila, Eriksson, Mikael, Humphreys, Keith, Darabi, Hatef, Li, Jingmei, Orr, Nicholas, Schoemaker, Minouk, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, Katarzyna, Durda, Katarzyna, Andrulis, Irene, Knight, Julia, Glendon, Gord, Mulligan, Anna, Bojesen, Stig, Nordestgaard, Børge, Flyger, Henrik, Nevanlinna, Heli, Muranen, Taru, Aittomäki, Kristiina, Blomqvist, Carl, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Wang, Xianshu, Olson, Janet, Vachon, Celine, Purrington, Kristen, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Dunning, Alison, Shah, Mitul, Guénel, Pascal, Truong, Thérèse, Sanchez, Marie, Mulot, Claire, Brenner, Hermann, Dieffenbach, Aida, Arndt, Volker, Stegmaier, Christa, Lindblom, Annika, Margolin, Sara, Hooning, Maartje, Hollestelle, Antoinette, Collée, J, Jager, Agnes, Cox, Angela, Brock, Ian, Reed, Malcolm, Devilee, Peter, Tollenaar, Robert, Seynaeve, Caroline, Haiman, Christopher, Henderson, Brian, Schumacher, Fredrick, Le Marchand, Loic, Simard, Jacques, Dumont, Martine, Soucy, Penny, Dörk, Thilo, Bogdanova, Natalia, Hamann, Ute, Försti, Asta, Rüdiger, Thomas, Ulmer, Hans-Ulrich, Fasching, Peter, Häberle, Lothar, Ekici, Arif, Beckmann, Matthias, Fletcher, Olivia, Johnson, Nichola, dos Santos Silva, Isabel, Peto, Julian, Radice, Paolo, Peterlongo, Paolo, Peissel, Bernard, Mariani, Paolo, Giles, Graham, Severi, Gianluca, Baglietto, Laura, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, and Miller, Nicola

Subjects
Breast Neoplasms, Case-Control Studies, Epistasis, Genetic, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Logistic Models, Polymorphism, Single Nucleotide
Abstract

Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer cases and 42,461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10(-8). Results from the second analytic approach were consistent with those from the first (P > 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.

Published
2014

26. A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46 450 cases and 42 461 controls from the breast cancer association consortium

Author

Milne, Roger L, Herranz, Jesús, Michailidou, Kyriaki, Dennis, Joe, Tyrer, Jonathan P, Zamora, M Pilar, Arias-Perez, José Ignacio, González-Neira, Anna, Pita, Guillermo, Alonso, M Rosario, Wang, Qin, Bolla, Manjeet K, Czene, Kamila, Eriksson, Mikael, Humphreys, Keith, Darabi, Hatef, Li, Jingmei, Anton-Culver, Hoda, Neuhausen, Susan L, Ziogas, Argyrios, Clarke, Christina A, Hopper, John L, Dite, Gillian S, Apicella, Carmel, Southey, Melissa C, Chenevix-Trench, Georgia, Swerdlow, Anthony, Ashworth, Alan, Orr, Nicholas, Schoemaker, Minouk, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, Katarzyna, Durda, Katarzyna, Andrulis, Irene L, Knight, Julia A, Glendon, Gord, Mulligan, Anna Marie, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Chang-Claude, Jenny, Rudolph, Anja, Seibold, Petra, Flesch-Janys, Dieter, Wang, Xianshu, Olson, Janet E, Vachon, Celine, Purrington, Kristen, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Dunning, Alison M, Shah, Mitul, Guénel, Pascal, Truong, Thérèse, Sanchez, Marie, Mulot, Claire, Brenner, Hermann, Dieffenbach, Aida Karina, Arndt, Volker, Stegmaier, Christa, Lindblom, Annika, Margolin, Sara, Hooning, Maartje J, Hollestelle, Antoinette, Collée, J Margriet, Jager, Agnes, Cox, Angela, Brock, Ian W, Reed, Malcolm WR, Devilee, Peter, Tollenaar, Robert AEM, Seynaeve, Caroline, Haiman, Christopher A, Henderson, Brian E, Schumacher, Fredrick, Le Marchand, Loic, Simard, Jacques, Dumont, Martine, Soucy, Penny, Dörk, Thilo, Bogdanova, Natalia V, Hamann, Ute, Försti, Asta, Rüdiger, Thomas, Ulmer, Hans-Ulrich, Fasching, Peter A, Häberle, Lothar, Ekici, Arif B, Beckmann, Matthias W, Fletcher, Olivia, Johnson, Nichola, dos Santos Silva, Isabel, and Peto, Julian

Subjects
Breast Cancer, Human Genome, Genetics, Cancer, Prevention, 2.1 Biological and endogenous factors, Aetiology, Breast Neoplasms, Case-Control Studies, Epistasis, Genetic, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Logistic Models, Polymorphism, Single Nucleotide, kConFab Investigators, Australian Ovarian Cancer Study Group, GENICA Network, TNBCC, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer cases and 42,461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10(-8). Results from the second analytic approach were consistent with those from the first (P > 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.

Published
2014

27. Suppressing interfacial structure failure of Ni-rich cathode materials under high work voltage towards improved cycling stability enabled via Li2MnO3-based surface construction.

Author

Deng, Lunhao, Cao, Yuanpeng, Yang, Xiaoping, Li, Xuebao, Zhao, Chao, Duan, Jianguo, Dong, Peng, Zhang, Yingjie, He, Jingjing, Wang, Xianshu, and Wang, Ding

Abstract

In the present study, an ammonia complexation-oxidation-homogeneous precipitation-assisted high-temperature solid phase approach was used to constructing evenly connected Li2MnO3 surface on LiNi0.8Co0.1Mn0.09Al0.01O2 (NCMA) cathode materials. The structural stability of NCMA and the cycling performance at high cut-off voltages were greatly improved by the advantages of the high voltage (below 4.5 V) stability of Li2MnO3-based surface. 5%M-NCMA, obtained from Ni0.8Co0.1Mn0.09Al0.01(OH)2 precursors coated with 5 wt % of Mn3O4 uniformly, showed improved electrochemical performance, which shows initial discharge specific capacities of 215.06 and 224.30 mAh g−1 at high voltage ranges of 3.0–4.5 V and 3.0–4.8 V at 0.1 C, respectively. The capacity retention of 5%M-NCMA after 200 cycles at a rate of 1 C rate under the reinforcement of the high voltage stable table interface is 83.89 and 78.09% under 4.5 and 4.8 V, which were enhanced relative by 8.39% and 32.75% relative to the uncoated samples. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Large-scale genotyping identifies 41 new loci associated with breast cancer risk

Author

Michailidou, Kyriaki, Hall, Per, Gonzalez-Neira, Anna, Ghoussaini, Maya, Dennis, Joe, Milne, Roger L, Schmidt, Marjanka K, Chang-Claude, Jenny, Bojesen, Stig E, Bolla, Manjeet K, Wang, Qin, Dicks, Ed, Lee, Andrew, Turnbull, Clare, Rahman, Nazneen, Fletcher, Olivia, Peto, Julian, Gibson, Lorna, dos Santos Silva, Isabel, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Czene, Kamila, Irwanto, Astrid, Liu, Jianjun, Waisfisz, Quinten, Meijers-Heijboer, Hanne, Adank, Muriel, van der Luijt, Rob B, Hein, Rebecca, Dahmen, Norbert, Beckman, Lars, Meindl, Alfons, Schmutzler, Rita K, Müller-Myhsok, Bertram, Lichtner, Peter, Hopper, John L, Southey, Melissa C, Makalic, Enes, Schmidt, Daniel F, Uitterlinden, Andre G, Hofman, Albert, Hunter, David J, Chanock, Stephen J, Vincent, Daniel, Bacot, François, Tessier, Daniel C, Canisius, Sander, Wessels, Lodewyk FA, Haiman, Christopher A, Shah, Mitul, Luben, Robert, Brown, Judith, Luccarini, Craig, Schoof, Nils, Humphreys, Keith, Li, Jingmei, Nordestgaard, Børge G, Nielsen, Sune F, Flyger, Henrik, Couch, Fergus J, Wang, Xianshu, Vachon, Celine, Stevens, Kristen N, Lambrechts, Diether, Moisse, Matthieu, Paridaens, Robert, Christiaens, Marie-Rose, Rudolph, Anja, Nickels, Stefan, Flesch-Janys, Dieter, Johnson, Nichola, Aitken, Zoe, Aaltonen, Kirsimari, Heikkinen, Tuomas, Broeks, Annegien, Veer, Laura J Van't, van der Schoot, C Ellen, Guénel, Pascal, Truong, Thérèse, Laurent-Puig, Pierre, Menegaux, Florence, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Zamora, M Pilar, Perez, Jose Ignacio Arias, Pita, Guillermo, Alonso, M Rosario, Cox, Angela, Brock, Ian W, Cross, Simon S, Reed, Malcolm WR, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael J, Miller, Nicola, and Henderson, Brian E

Subjects
Biological Sciences, Genetics, Human Genome, Prevention, Breast Cancer, Cancer, Breast Neoplasms, Case-Control Studies, Cooperative Behavior, Female, Gene-Environment Interaction, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Risk Factors, Breast and Ovarian Cancer Susceptibility Collaboration, Hereditary Breast and Ovarian Cancer Research Group Netherlands, kConFab Investigators, Australian Ovarian Cancer Study Group, GENICA (Gene Environment Interaction and Breast Cancer in Germany) Network, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological Gene-environment Study, COGS) and used a custom Illumina iSelect genotyping array, iCOGS, comprising more than 200,000 SNPs. We identified SNPs at 41 new breast cancer susceptibility loci at genome-wide significance (P < 5 × 10(-8)). Further analyses suggest that more than 1,000 additional loci are involved in breast cancer susceptibility.

Published
2013

29. A genome-wide association study to identify genetic susceptibility loci that modify ductal and lobular postmenopausal breast cancer risk associated with menopausal hormone therapy use: a two-stage design with replication

Author

Hein, Rebecca, Flesch-Janys, Dieter, Dahmen, Norbert, Beckmann, Lars, Lindström, Sara, Schoof, Nils, Czene, Kamila, Mittelstraß, Kirstin, Illig, Thomas, Seibold, Petra, Behrens, Sabine, Humphreys, Keith, Li, Jingmei, Liu, Jianjun, Olson, Janet E, Wang, Xianshu, Hankinson, Susan E, Truong, Thérèse, Menegaux, Florence, dos Santos Silva, Isabel, Johnson, Nichola, The GENICA Network, Chen, Shou-Tung, Yu, Jyh-Cherng, Ziogas, Argyrios, Kataja, Vesa, Kosma, Veli-Matti, Mannermaa, Arto, Anton-Culver, Hoda, Shen, Chen-Yang, Brauch, Hiltrud, Peto, Julian, Guénel, Pascal, Kraft, Peter, Couch, Fergus J, Easton, Douglas F, Hall, Per, and Chang-Claude, Jenny

Subjects
Cancer, Aging, Prevention, Breast Cancer, Genetics, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Breast Neoplasms, Carcinoma, Ductal, Breast, Carcinoma, Lobular, Case-Control Studies, Chromosomes, Human, Estrogen Replacement Therapy, Estrogens, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Postmenopause, Progestins, Risk Factors, Sequence Analysis, DNA, Postmenopausal breast cancer risk, Menopausal hormone therapy, Polymorphisms, Gene-environment interaction, Genome-wide association study, Case-only study, GENICA Network, Clinical Sciences, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

Menopausal hormone therapy (MHT) is associated with an elevated risk of breast cancer in postmenopausal women. To identify genetic loci that modify breast cancer risk related to MHT use in postmenopausal women, we conducted a two-stage genome-wide association study (GWAS) with replication. In stage I, we performed a case-only GWAS in 731 invasive breast cancer cases from the German case-control study Mammary Carcinoma Risk Factor Investigation (MARIE). The 1,200 single nucleotide polymorphisms (SNPs) showing the lowest P values for interaction with current MHT use (within 6 months prior to breast cancer diagnosis), were carried forward to stage II, involving pooled case-control analyses including additional MARIE subjects (1,375 cases, 1,974 controls) as well as 795 cases and 764 controls of a Swedish case-control study. A joint P value was calculated for a combined analysis of stages I and II. Replication of the most significant interaction of the combined stage I and II was performed using 5,795 cases and 5,390 controls from nine studies of the Breast Cancer Association Consortium (BCAC). The combined stage I and II yielded five SNPs on chromosomes 2, 7, and 18 with joint P values

Published
2013

30. Genome-wide association study in BRCA1 mutation carriers identifies novel loci associated with breast and ovarian cancer risk.

Author

Couch, Fergus J, Wang, Xianshu, McGuffog, Lesley, Lee, Andrew, Olswold, Curtis, Kuchenbaecker, Karoline B, Soucy, Penny, Fredericksen, Zachary, Barrowdale, Daniel, Dennis, Joe, Gaudet, Mia M, Dicks, Ed, Kosel, Matthew, Healey, Sue, Sinilnikova, Olga M, Lee, Adam, Bacot, François, Vincent, Daniel, Hogervorst, Frans BL, Peock, Susan, Stoppa-Lyonnet, Dominique, Jakubowska, Anna, kConFab Investigators, Radice, Paolo, Schmutzler, Rita Katharina, SWE-BRCA, Domchek, Susan M, Piedmonte, Marion, Singer, Christian F, Friedman, Eitan, Thomassen, Mads, Ontario Cancer Genetics Network, Hansen, Thomas VO, Neuhausen, Susan L, Szabo, Csilla I, Blanco, Ignacio, Greene, Mark H, Karlan, Beth Y, Garber, Judy, Phelan, Catherine M, Weitzel, Jeffrey N, Montagna, Marco, Olah, Edith, Andrulis, Irene L, Godwin, Andrew K, Yannoukakos, Drakoulis, Goldgar, David E, Caldes, Trinidad, Nevanlinna, Heli, Osorio, Ana, Terry, Mary Beth, Daly, Mary B, van Rensburg, Elizabeth J, Hamann, Ute, Ramus, Susan J, Toland, Amanda Ewart, Caligo, Maria A, Olopade, Olufunmilayo I, Tung, Nadine, Claes, Kathleen, Beattie, Mary S, Southey, Melissa C, Imyanitov, Evgeny N, Tischkowitz, Marc, Janavicius, Ramunas, John, Esther M, Kwong, Ava, Diez, Orland, Balmaña, Judith, Barkardottir, Rosa B, Arun, Banu K, Rennert, Gad, Teo, Soo-Hwang, Ganz, Patricia A, Campbell, Ian, van der Hout, Annemarie H, van Deurzen, Carolien HM, Seynaeve, Caroline, Gómez Garcia, Encarna B, van Leeuwen, Flora E, Meijers-Heijboer, Hanne EJ, Gille, Johannes JP, Ausems, Margreet GEM, Blok, Marinus J, Ligtenberg, Marjolijn JL, Rookus, Matti A, Devilee, Peter, Verhoef, Senno, van Os, Theo AM, Wijnen, Juul T, HEBON, EMBRACE, Frost, Debra, Ellis, Steve, Fineberg, Elena, Platte, Radka, Evans, D Gareth, Izatt, Louise, Eeles, Rosalind A, and Adlard, Julian

Subjects
kConFab Investigators, SWE-BRCA, Ontario Cancer Genetics Network, HEBON, EMBRACE, GEMO Study Collaborators, BCFR, CIMBA, Humans, Breast Neoplasms, Ovarian Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, BRCA2 Protein, Prognosis, Risk Factors, Genotype, Heterozygote, Mutation, Polymorphism, Single Nucleotide, Middle Aged, Female, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Developmental Biology, Genetics
Abstract

BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 × 10(-8), HR = 1.14, 95% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4 × 10(-8), HR = 1.27, 95% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4 × 10(-8), HR = 1.20, 95% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2×10(-4)). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%-50% compared to 81%-100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers.

Published
2013

33. CHEK2*1100delC heterozygosity in women with breast cancer associated with early death, breast cancer-specific death, and increased risk of a second breast cancer.

Author

Weischer, Maren, Nordestgaard, Børge G, Pharoah, Paul, Bolla, Manjeet K, Nevanlinna, Heli, Van't Veer, Laura J, Garcia-Closas, Montserrat, Hopper, John L, Hall, Per, Andrulis, Irene L, Devilee, Peter, Fasching, Peter A, Anton-Culver, Hoda, Lambrechts, Diether, Hooning, Maartje, Cox, Angela, Giles, Graham G, Burwinkel, Barbara, Lindblom, Annika, Couch, Fergus J, Mannermaa, Arto, Grenaker Alnæs, Grethe, John, Esther M, Dörk, Thilo, Flyger, Henrik, Dunning, Alison M, Wang, Qin, Muranen, Taru A, van Hien, Richard, Figueroa, Jonine, Southey, Melissa C, Czene, Kamila, Knight, Julia A, Tollenaar, Rob AEM, Beckmann, Matthias W, Ziogas, Argyrios, Christiaens, Marie-Rose, Collée, Johanna Margriet, Reed, Malcolm WR, Severi, Gianluca, Marme, Frederik, Margolin, Sara, Olson, Janet E, Kosma, Veli-Matti, Kristensen, Vessela N, Miron, Alexander, Bogdanova, Natalia, Shah, Mitul, Blomqvist, Carl, Broeks, Annegien, Sherman, Mark, Phillips, Kelly-Anne, Li, Jingmei, Liu, Jianjun, Glendon, Gord, Seynaeve, Caroline, Ekici, Arif B, Leunen, Karin, Kriege, Mieke, Cross, Simon S, Baglietto, Laura, Sohn, Christof, Wang, Xianshu, Kataja, Vesa, Børresen-Dale, Anne-Lise, Meyer, Andreas, Easton, Douglas F, Schmidt, Marjanka K, and Bojesen, Stig E

Subjects
Humans, Breast Neoplasms, Neoplasms, Second Primary, Genetic Predisposition to Disease, Prognosis, Case-Control Studies, Prospective Studies, Genotype, Heterozygote, Germ-Line Mutation, Middle Aged, Female, Checkpoint Kinase 2, Protein Serine-Threonine Kinases, Breast Cancer, Clinical Research, Cancer, Prevention, Genetics, Estrogen, Clinical Sciences, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

PurposeWe tested the hypotheses that CHEK2*1100delC heterozygosity is associated with increased risk of early death, breast cancer-specific death, and risk of a second breast cancer in women with a first breast cancer.Patients and methodsFrom 22 studies participating in the Breast Cancer Association Consortium, 25,571 white women with invasive breast cancer were genotyped for CHEK2*1100delC and observed for up to 20 years (median, 6.6 years). We examined risk of early death and breast cancer-specific death by estrogen receptor status and risk of a second breast cancer after a first breast cancer in prospective studies.ResultsCHEK2*1100delC heterozygosity was found in 459 patients (1.8%). In women with estrogen receptor-positive breast cancer, multifactorially adjusted hazard ratios for heterozygotes versus noncarriers were 1.43 (95% CI, 1.12 to 1.82; log-rank P = .004) for early death and 1.63 (95% CI, 1.24 to 2.15; log-rank P < .001) for breast cancer-specific death. In all women, hazard ratio for a second breast cancer was 2.77 (95% CI, 2.00 to 3.83; log-rank P < .001) increasing to 3.52 (95% CI, 2.35 to 5.27; log-rank P < .001) in women with estrogen receptor-positive first breast cancer only.ConclusionAmong women with estrogen receptor-positive breast cancer, CHEK2*1100delC heterozygosity was associated with a 1.4-fold risk of early death, a 1.6-fold risk of breast cancer-specific death, and a 3.5-fold risk of a second breast cancer. This is one of the few examples of a genetic factor that influences long-term prognosis being documented in an extensive series of women with breast cancer.

Published
2012

34. 9q31.2-rs865686 as a Susceptibility Locus for Estrogen Receptor-Positive Breast Cancer: Evidence from the Breast Cancer Association Consortium

Author

Warren, Helen, Dudbridge, Frank, Fletcher, Olivia, Orr, Nick, Johnson, Nichola, Hopper, John L, Apicella, Carmel, Southey, Melissa C, Mahmoodi, Maryam, Schmidt, Marjanka K, Broeks, Annegien, Cornelissen, Sten, Braaf, Linda M, Muir, Kenneth R, Lophatananon, Artitaya, Chaiwerawattana, Arkom, Wiangnon, Surapon, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Schulz-Wendtland, Ruediger, Sawyer, Elinor J, Tomlinson, Ian, Kerin, Michael, Burwinkel, Barbara, Marme, Frederik, Schneeweiss, Andreas, Sohn, Christof, Guénel, Pascal, Truong, Thérèse, Laurent-Puig, Pierre, Mulot, Claire, Bojesen, Stig E, Nielsen, Sune F, Flyger, Henrik, Nordestgaard, Børge G, Milne, Roger L, Benítez, Javier, Arias-Pérez, José-Ignacio, Zamora, M Pilar, Anton-Culver, Hoda, Ziogas, Argyrios, Bernstein, Leslie, Dur, Christina Clarke, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Langheinz, Anne, Meindl, Alfons, Golatta, Michael, Bartram, Claus R, Schmutzler, Rita K, Brauch, Hiltrud, Justenhoven, Christina, Brüning, Thomas, Network, for The GENICA, Chang-Claude, Jenny, Wang-Gohrke, Shan, Eilber, Ursula, Dörk, Thilo, Schürmann, Peter, Bremer, Michael, Hillemanns, Peter, Nevanlinna, Heli, Muranen, Taru A, Aittomäki, Kristiina, Blomqvist, Carl, Bogdanova, Natalia, Antonenkova, Natalia, Rogov, Yuriy, Bermisheva, Marina, Prokofyeva, Darya, Zinnatullina, Guzel, Khusnutdinova, Elza, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kosma, Veli-Matti, Hartikainen, Jaana M, Kataja, Vesa, Chenevix-Trench, Georgia, Beesley, Jonathan, Chen, Xiaoqing, Investigators, for kConFab, Group, Australian Ovarian Cancer Study, Lambrechts, Diether, Smeets, Ann, Paridaens, Robert, Weltens, Caroline, Flesch-Janys, Dieter, Buck, Katharina, Behrens, Sabine, Peterlongo, Paolo, Bernard, Loris, Manoukian, Siranoush, Radice, Paolo, Couch, Fergus J, Vachon, Celine, Wang, Xianshu, and Olson, Janet

Subjects
Health Services and Systems, Biomedical and Clinical Sciences, Health Sciences, Oncology and Carcinogenesis, Genetics, Human Genome, Aging, Breast Cancer, Clinical Research, Cancer, 2.1 Biological and endogenous factors, Aetiology, Aged, Breast Neoplasms, Case-Control Studies, Chromosome Mapping, Chromosomes, Human, Pair 9, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Middle Aged, Polymorphism, Single Nucleotide, Receptors, Estrogen, Receptors, Progesterone, GENICA Network, kConFab Investigators, Australian Ovarian Cancer Study Group, Medical and Health Sciences, Epidemiology, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundOur recent genome-wide association study identified a novel breast cancer susceptibility locus at 9q31.2 (rs865686).MethodsTo further investigate the rs865686-breast cancer association, we conducted a replication study within the Breast Cancer Association Consortium, which comprises 37 case-control studies (48,394 cases, 50,836 controls).ResultsThis replication study provides additional strong evidence of an inverse association between rs865686 and breast cancer risk [study-adjusted per G-allele OR, 0.90; 95% confidence interval (CI), 0.88; 0.91, P = 2.01 × 10(-29)] among women of European ancestry. There were ethnic differences in the estimated minor (G)-allele frequency among controls [0.09, 0.30, and 0.38 among, respectively, Asians, Eastern Europeans, and other Europeans; P for heterogeneity (P(het)) = 1.3 × 10(-143)], but no evidence of ethnic differences in per allele OR (P(het) = 0.43). rs865686 was associated with estrogen receptor-positive (ER(+)) disease (per G-allele OR, 0.89; 95% CI, 0.86-0.91; P = 3.13 × 10(-22)) but less strongly, if at all, with ER-negative (ER(-)) disease (OR, 0.98; 95% CI, 0.94-1.02; P = 0.26; P(het) = 1.16 × 10(-6)), with no evidence of independent heterogeneity by progesterone receptor or HER2 status. The strength of the breast cancer association decreased with increasing age at diagnosis, with case-only analysis showing a trend in the number of copies of the G allele with increasing age at diagnosis (P for linear trend = 0.0095), but only among women with ER(+) tumors.ConclusionsThis study is the first to show that rs865686 is a susceptibility marker for ER(+) breast cancer.ImpactThe findings further support the view that genetic susceptibility varies according to tumor subtype.

Published
2012

35. Comparison of 6q25 Breast Cancer Hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC)

Author

Hein, Rebecca, Maranian, Melanie, Hopper, John L, Kapuscinski, Miroslaw K, Southey, Melissa C, Park, Daniel J, Schmidt, Marjanka K, Broeks, Annegien, Hogervorst, Frans B. L, Bueno-de-Mesquit, H. Bas, Muir, Kenneth R, Lophatananon, Artitaya, Rattanamongkongul, Suthee, Puttawibul, Puttisak, Fasching, Peter A, Hein, Alexander, Ekici, Arif B, Beckmann, Matthias W, Fletcher, Olivia, Johnson, Nichola, dos Santos Silva, Isabel, Peto, Julian, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Miller, Nicola, Marmee, Frederick, Schneeweiss, Andreas, Sohn, Christof, Burwinkel, Barbara, Guénel, Pascal, Cordina-Duverger, Emilie, Menegaux, Florence, Truong, Thérèse, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Milne, Roger L, Perez, Jose Ignacio Arias, Zamora, M. Pilar, Benítez, Javier, Anton-Culver, Hoda, Ziogas, Argyrios, Bernstein, Leslie, Clarke, Christina A, Brenner, Hermann, Müller, Heiko, Arndt, Volker, Stegmaier, Christa, Rahman, Nazneen, Seal, Sheila, Turnbull, Clare, Renwick, Anthony, Meindl, Alfons, Schott, Sarah, Bartram, Claus R, Schmutzler, Rita K, Brauch, Hiltrud, Hamann, Ute, Ko, Yon-Dschun, Wang-Gohrke, Shan, Dark, Thilo, Scharmann, Peter, Karstens, Johann H, Hillemanns, Peter, Nevanlinna, Heli, Heikkinen, Tuomas, Aittomäki, Kristiina, Blomqvist, Carl, Bogdanova, Natalia V, Zalutsky, Iosif V, Antonenkova, Natalia N, Bermisheva, Marina, Prokovieva, Darya, Farahtdinova, Albina, Khusnutdinova, Elza, Lindblom, Annika, Margolin, Sara, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana, Chen, Xiaoqing, Beesley, Jonathan, Investigators, kConFab, Lambrechts, Diether, Zhao, Hui, Neven, Patrick, Wildiers, Hans, Nickels, Stefan, Flesch-Janys, Dieter, Radice, Paolo, Peterlongo, Paolo, Manoukian, Siranoush, Barile, Monica, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Fredericksen, Zachary, and Giles, Graham G

Subjects
susceptibility locus, chinese, women
Published
2012

36. Breast cancer risk and 6q22.33: combined results from Breast Cancer Association Consortium and Consortium of Investigators on Modifiers of BRCA1/2.

Author

Kirchhoff, Tomas, Gaudet, Mia M, Antoniou, Antonis C, McGuffog, Lesley, Humphreys, Manjeet K, Dunning, Alison M, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Kang, Daehee, Yoo, Keun-Young, Noh, Dong-Young, Ahn, Sei-Hyun, Dork, Thilo, Schürmann, Peter, Karstens, Johann H, Hillemanns, Peter, Couch, Fergus J, Olson, Janet, Vachon, Celine, Wang, Xianshu, Cox, Angela, Brock, Ian, Elliott, Graeme, Reed, Malcolm WR, Burwinkel, Barbara, Meindl, Alfons, Brauch, Hiltrud, Hamann, Ute, Ko, Yon-Dschun, GENICA Network, Broeks, Annegien, Schmidt, Marjanka K, Van 't Veer, Laura J, Braaf, Linde M, Johnson, Nichola, Fletcher, Olivia, Gibson, Lorna, Peto, Julian, Turnbull, Clare, Seal, Sheila, Renwick, Anthony, Rahman, Nazneen, Wu, Pei-Ei, Yu, Jyh-Cherng, Hsiung, Chia-Ni, Shen, Chen-Yang, Southey, Melissa C, Hopper, John L, Hammet, Fleur, Van Dorpe, Thijs, Dieudonne, Anne-Sophie, Hatse, Sigrid, Lambrechts, Diether, Andrulis, Irene L, Bogdanova, Natalia, Antonenkova, Natalia, Rogov, Juri I, Prokofieva, Daria, Bermisheva, Marina, Khusnutdinova, Elza, van Asperen, Christi J, Tollenaar, Robert AEM, Hooning, Maartje J, Devilee, Peter, Margolin, Sara, Lindblom, Annika, Milne, Roger L, Arias, José Ignacio, Zamora, M Pilar, Benítez, Javier, Severi, Gianluca, Baglietto, Laura, Giles, Graham G, kConFab, AOCS Study Group, Spurdle, Amanda B, Beesley, Jonathan, Chen, Xiaoqing, Holland, Helene, Healey, Sue, Wang-Gohrke, Shan, Chang-Claude, Jenny, Mannermaa, Arto, Kosma, Veli-Matti, Kauppinen, Jaana, Kataja, Vesa, Agnarsson, Bjarni A, Caligo, Maria A, Godwin, Andrew K, Nevanlinna, Heli, Heikkinen, Tuomas, Fredericksen, Zachary, Lindor, Noralane, Nathanson, Katherine L, Domchek, Susan M, SWE-BRCA, Loman, Niklas, Karlsson, Per, and Stenmark Askmalm, Marie

Subjects
GENICA Network, kConFab, AOCS Study Group, SWE-BRCA, HEBON, EMBRACE, BCAC/CIMBA, Chromosomes, Human, Pair 6, Humans, Breast Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, BRCA2 Protein, Receptors, Estrogen, Confidence Intervals, Proportional Hazards Models, Odds Ratio, Risk Factors, Heterozygote, Polymorphism, Single Nucleotide, Alleles, Middle Aged, Female, Genetic Association Studies, Chromosomes, Human, Pair 6, Polymorphism, Single Nucleotide, Receptors, Estrogen, General Science & Technology
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 =

Published
2012

37. Interplay between BRCA1 and RHAMM regulates epithelial apicobasal polarization and may influence risk of breast cancer.

Author

Maxwell, Christopher A, Benítez, Javier, Gómez-Baldó, Laia, Osorio, Ana, Bonifaci, Núria, Fernández-Ramires, Ricardo, Costes, Sylvain V, Guinó, Elisabet, Chen, Helen, Evans, Gareth JR, Mohan, Pooja, Català, Isabel, Petit, Anna, Aguilar, Helena, Villanueva, Alberto, Aytes, Alvaro, Serra-Musach, Jordi, Rennert, Gad, Lejbkowicz, Flavio, Peterlongo, Paolo, Manoukian, Siranoush, Peissel, Bernard, Ripamonti, Carla B, Bonanni, Bernardo, Viel, Alessandra, Allavena, Anna, Bernard, Loris, Radice, Paolo, Friedman, Eitan, Kaufman, Bella, Laitman, Yael, Dubrovsky, Maya, Milgrom, Roni, Jakubowska, Anna, Cybulski, Cezary, Gorski, Bohdan, Jaworska, Katarzyna, Durda, Katarzyna, Sukiennicki, Grzegorz, Lubiński, Jan, Shugart, Yin Yao, Domchek, Susan M, Letrero, Richard, Weber, Barbara L, Hogervorst, Frans BL, Rookus, Matti A, Collee, J Margriet, Devilee, Peter, Ligtenberg, Marjolijn J, Luijt, Rob B van der, Aalfs, Cora M, Waisfisz, Quinten, Wijnen, Juul, Roozendaal, Cornelis EP van, HEBON, EMBRACE, Easton, Douglas F, Peock, Susan, Cook, Margaret, Oliver, Clare, Frost, Debra, Harrington, Patricia, Evans, D Gareth, Lalloo, Fiona, Eeles, Rosalind, Izatt, Louise, Chu, Carol, Eccles, Diana, Douglas, Fiona, Brewer, Carole, Nevanlinna, Heli, Heikkinen, Tuomas, Couch, Fergus J, Lindor, Noralane M, Wang, Xianshu, Godwin, Andrew K, Caligo, Maria A, Lombardi, Grazia, Loman, Niklas, Karlsson, Per, Ehrencrona, Hans, Wachenfeldt, Anna von, SWE-BRCA, Barkardottir, Rosa Bjork, Hamann, Ute, Rashid, Muhammad U, Lasa, Adriana, Caldés, Trinidad, Andrés, Raquel, Schmitt, Michael, Assmann, Volker, Stevens, Kristen, Offit, Kenneth, Curado, João, Tilgner, Hagen, Guigó, Roderic, Aiza, Gemma, Brunet, Joan, Castellsagué, Joan, and Martrat, Griselda

Subjects
HEBON, EMBRACE, SWE-BRCA, BCFR, GEMO Study Collaborators, kConFab, Breast, Cell Line, Tumor, Hela Cells, Microtubules, Epithelial Cells, Humans, Breast Neoplasms, Genetic Predisposition to Disease, Protein-Serine-Threonine Kinases, BRCA1 Protein, BRCA2 Protein, Receptors, Estrogen, Extracellular Matrix Proteins, Cell Polarity, Genotype, Heterozygote, Genes, BRCA1, Genes, BRCA2, Female, Genetic Variation, Aurora Kinase A, Aurora Kinases, Hyaluronan Receptors, HeLa Cells, Cell Line, Tumor, Receptors, Estrogen, Genes, BRCA1, BRCA2, Biological Sciences, Agricultural and Veterinary Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Differentiated mammary epithelium shows apicobasal polarity, and loss of tissue organization is an early hallmark of breast carcinogenesis. In BRCA1 mutation carriers, accumulation of stem and progenitor cells in normal breast tissue and increased risk of developing tumors of basal-like type suggest that BRCA1 regulates stem/progenitor cell proliferation and differentiation. However, the function of BRCA1 in this process and its link to carcinogenesis remain unknown. Here we depict a molecular mechanism involving BRCA1 and RHAMM that regulates apicobasal polarity and, when perturbed, may increase risk of breast cancer. Starting from complementary genetic analyses across families and populations, we identified common genetic variation at the low-penetrance susceptibility HMMR locus (encoding for RHAMM) that modifies breast cancer risk among BRCA1, but probably not BRCA2, mutation carriers: n = 7,584, weighted hazard ratio ((w)HR) = 1.09 (95% CI 1.02-1.16), p(trend) = 0.017; and n = 3,965, (w)HR = 1.04 (95% CI 0.94-1.16), p(trend) = 0.43; respectively. Subsequently, studies of MCF10A apicobasal polarization revealed a central role for BRCA1 and RHAMM, together with AURKA and TPX2, in essential reorganization of microtubules. Mechanistically, reorganization is facilitated by BRCA1 and impaired by AURKA, which is regulated by negative feedback involving RHAMM and TPX2. Taken together, our data provide fundamental insight into apicobasal polarization through BRCA1 function, which may explain the expanded cell subsets and characteristic tumor type accompanying BRCA1 mutation, while also linking this process to sporadic breast cancer through perturbation of HMMR/RHAMM.

Published
2011

38. 7q21-rs6964587 and breast cancer risk: an extended case–control study by the Breast Cancer Association Consortium

Author

Milne, Roger L, Lorenzo-Bermejo, Justo, Burwinkel, Barbara, Malats, Núria, Arias, Jose Ignacio, Zamora, M Pilar, Benítez, Javier, Humphreys, Manjeet K, García-Closas, Montserrat, Chanock, Stephen J, Lissowska, Jolanta, Sherman, Mark E, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Nevanlinna, Heli, Heikkinen, Tuomas, Aittomäki, Kristiina, Blomqvist, Carl, Anton-Culver, Hoda, Ziogas, Argyrios, Devilee, Peter, van Asperen, Christie J, Tollenaar, Rob AEM, Seynaeve, Caroline, Hall, Per, Czene, Kamila, Liu, Jianjun, Irwanto, Astrid K, Kang, Daehee, Yoo, Keun-Young, Noh, Dong-Young, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Fredericksen, Zachary, Nordestgaard, Børge G, Bojesen, Stig E, Flyger, Henrik, Margolin, Sara, Lindblom, Annika, Fasching, Peter A, Schulz-Wendtland, Ruediger, Ekici, Arif B, Beckmann, Matthias W, Wang-Gohrke, Shan, Shen, Chen-Yang, Yu, Jyh-Cherng, Hsu, Huan-Ming, Wu, Pei-Ei, Giles, Graham G, Severi, Gianluca, Baglietto, Laura, English, Dallas R, Cox, Angela, Brock, Ian, Elliott, Graeme, Reed, Malcolm WR, Beesley, Jonathan, Chen, Xiaoqing, Investigators, kConFab, Group, AOCS, Fletcher, Olivia, Gibson, Lorna, dos Santos Silva, Isabel, Peto, Julian, Frank, Bernd, Heil, Joerg, Meindl, Alfons, Chang-Claude, Jenny, Hein, Rebecca, Vrieling, Alina, Flesch-Janys, Dieter, Southey, Melissa C, Smith, Letitia, Apicella, Carmel, Hopper, John L, Dunning, Alison M, Pooley, Karen A, Pharoah, Paul DP, Hamann, Ute, Pesch, Beate, Ko, Yon-Dschun, Network, The GENICA, Easton, Douglas F, and Chenevix-Trench, Georgia

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Oncology and Carcinogenesis, Breast Cancer, Clinical Research, Cancer, Aetiology, 2.1 Biological and endogenous factors, A Kinase Anchor Proteins, Alleles, Asian People, Breast Neoplasms, Case-Control Studies, Chromosomes, Human, Pair 7, Cytoskeletal Proteins, Female, Genes, Recessive, Genetic Predisposition to Disease, Humans, Logistic Models, Odds Ratio, Polymorphism, Single Nucleotide, Risk Factors, White People, AOCS Group, GENICA Network, Medical and Health Sciences, Genetics & Heredity, Clinical sciences
Abstract

BackgroundUsing the Breast Cancer Association Consortium, the authors previously reported that the single nucleotide polymorphism 7q21-rs6964587 (AKAP9-M463I) is associated with breast cancer risk. The authors have now assessed this association more comprehensively using 16 independent case-control studies.MethodsThe authors genotyped 14,843 invasive case patients and 19,852 control subjects with white European ancestry and 2595 invasive case patients and 2192 control subjects with Asian ancestry. ORs were estimated by logistic regression, adjusted for study. Heterogeneity in ORs was assessed by fitting interaction terms or by subclassifying case patients and applying polytomous logistic regression.ResultsFor white European women, the minor T allele of 7q21-rs6964587 was associated with breast cancer risk under a recessive model (OR 1.07, 95% CI 1.00 to 1.13, p = 0.04). Results were inconclusive for Asian women. From a combined analysis of 24 154 case patients and 33,376 control subjects of white European ancestry from the present and previous series, the best-fitting model was recessive, with an estimated OR of 1.08 (95% CI 1.03 to 1.13, p = 0.001). The OR was greater at younger ages (p trend = 0.01).ConclusionThis may be the first common susceptibility allele for breast cancer to be identified with a recessive mode of inheritance.

Published
2011

39. Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies.

Author

Yang, Xiaohong R, Chang-Claude, Jenny, Goode, Ellen L, Couch, Fergus J, Nevanlinna, Heli, Milne, Roger L, Gaudet, Mia, Schmidt, Marjanka K, Broeks, Annegien, Cox, Angela, Fasching, Peter A, Hein, Rebecca, Spurdle, Amanda B, Blows, Fiona, Driver, Kristy, Flesch-Janys, Dieter, Heinz, Judith, Sinn, Peter, Vrieling, Alina, Heikkinen, Tuomas, Aittomäki, Kristiina, Heikkilä, Päivi, Blomqvist, Carl, Lissowska, Jolanta, Peplonska, Beata, Chanock, Stephen, Figueroa, Jonine, Brinton, Louise, Hall, Per, Czene, Kamila, Humphreys, Keith, Darabi, Hatef, Liu, Jianjun, Van 't Veer, Laura J, van Leeuwen, Flora E, Andrulis, Irene L, Glendon, Gord, Knight, Julia A, Mulligan, Anna Marie, O'Malley, Frances P, Weerasooriya, Nayana, John, Esther M, Beckmann, Matthias W, Hartmann, Arndt, Weihbrecht, Sebastian B, Wachter, David L, Jud, Sebastian M, Loehberg, Christian R, Baglietto, Laura, English, Dallas R, Giles, Graham G, McLean, Catriona A, Severi, Gianluca, Lambrechts, Diether, Vandorpe, Thijs, Weltens, Caroline, Paridaens, Robert, Smeets, Ann, Neven, Patrick, Wildiers, Hans, Wang, Xianshu, Olson, Janet E, Cafourek, Victoria, Fredericksen, Zachary, Kosel, Matthew, Vachon, Celine, Cramp, Helen E, Connley, Daniel, Cross, Simon S, Balasubramanian, Sabapathy P, Reed, Malcolm WR, Dörk, Thilo, Bremer, Michael, Meyer, Andreas, Karstens, Johann H, Ay, Aysun, Park-Simon, Tjoung-Won, Hillemanns, Peter, Arias Pérez, Jose Ignacio, Menéndez Rodríguez, Primitiva, Zamora, Pilar, Benítez, Javier, Ko, Yon-Dschun, Fischer, Hans-Peter, Hamann, Ute, Pesch, Beate, Brüning, Thomas, Justenhoven, Christina, Brauch, Hiltrud, Eccles, Diana M, Tapper, William J, Gerty, Sue M, Sawyer, Elinor J, Tomlinson, Ian P, Jones, Angela, Kerin, Michael, Miller, Nicola, McInerney, Niall, Anton-Culver, Hoda, and Ziogas, Argyrios

Subjects
Humans, Breast Neoplasms, Obesity, Receptor, erbB-2, Receptors, Estrogen, Receptors, Progesterone, Body Mass Index, Logistic Models, Odds Ratio, Risk Factors, Case-Control Studies, Age Factors, Parity, Parturition, Menarche, Female, Keratin-5, ErbB Receptors, Biomarkers, Tumor, Receptor, ErbB-2, Prevention, Cancer, Aging, Breast Cancer, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Oncology and Carcinogenesis, Oncology & Carcinogenesis
Abstract

BackgroundPrevious studies have suggested that breast cancer risk factors are associated with estrogen receptor (ER) and progesterone receptor (PR) expression status of the tumors.MethodsWe pooled tumor marker and epidemiological risk factor data from 35,568 invasive breast cancer case patients from 34 studies participating in the Breast Cancer Association Consortium. Logistic regression models were used in case-case analyses to estimate associations between epidemiological risk factors and tumor subtypes, and case-control analyses to estimate associations between epidemiological risk factors and the risk of developing specific tumor subtypes in 12 population-based studies. All statistical tests were two-sided.ResultsIn case-case analyses, of the epidemiological risk factors examined, early age at menarche (≤12 years) was less frequent in case patients with PR(-) than PR(+) tumors (P = .001). Nulliparity (P = 3 × 10(-6)) and increasing age at first birth (P = 2 × 10(-9)) were less frequent in ER(-) than in ER(+) tumors. Obesity (body mass index [BMI] ≥ 30 kg/m(2)) in younger women (≤50 years) was more frequent in ER(-)/PR(-) than in ER(+)/PR(+) tumors (P = 1 × 10(-7)), whereas obesity in older women (>50 years) was less frequent in PR(-) than in PR(+) tumors (P = 6 × 10(-4)). The triple-negative (ER(-)/PR(-)/HER2(-)) or core basal phenotype (CBP; triple-negative and cytokeratins [CK]5/6(+) and/or epidermal growth factor receptor [EGFR](+)) accounted for much of the heterogeneity in parity-related variables and BMI in younger women. Case-control analyses showed that nulliparity, increasing age at first birth, and obesity in younger women showed the expected associations with the risk of ER(+) or PR(+) tumors but not triple-negative (nulliparity vs parity, odds ratio [OR] = 0.94, 95% confidence interval [CI] = 0.75 to 1.19, P = .61; 5-year increase in age at first full-term birth, OR = 0.95, 95% CI = 0.86 to 1.05, P = .34; obesity in younger women, OR = 1.36, 95% CI = 0.95 to 1.94, P = .09) or CBP tumors.ConclusionsThis study shows that reproductive factors and BMI are most clearly associated with hormone receptor-positive tumors and suggest that triple-negative or CBP tumors may have distinct etiology.

Published
2011

40. Association Between a Germline OCA2 Polymorphism at Chromosome 15q13.1 and Estrogen Receptor–Negative Breast Cancer Survival

Author

Azzato, Elizabeth M, Tyrer, Jonathan, Fasching, Peter A, Beckmann, Matthias W, Ekici, Arif B, Schulz-Wendtland, Rüdiger, Bojesen, Stig E, Nordestgaard, Børge G, Flyger, Henrik, Milne, Roger L, Arias, José Ignacio, Menéndez, Primitiva, Benítez, Javier, Chang-Claude, Jenny, Hein, Rebecca, Wang-Gohrke, Shan, Nevanlinna, Heli, Heikkinen, Tuomas, Aittomäki, Kristiina, Blomqvist, Carl, Margolin, Sara, Mannermaa, Arto, Kosma, Veli-Matti, Kataja, Vesa, Beesley, Jonathan, Chen, Xiaoqing, Chenevix-Trench, Georgia, Couch, Fergus J, Olson, Janet E, Fredericksen, Zachary S, Wang, Xianshu, Giles, Graham G, Severi, Gianluca, Baglietto, Laura, Southey, Melissa C, Devilee, Peter, Tollenaar, Rob AEM, Seynaeve, Caroline, García-Closas, Montserrat, Lissowska, Jolanta, Sherman, Mark E, Bolton, Kelly L, Hall, Per, Czene, Kamila, Cox, Angela, Brock, Ian W, Elliott, Graeme C, Reed, Malcolm WR, Greenberg, David, Anton-Culver, Hoda, Ziogas, Argyrios, Humphreys, Manjeet, Easton, Douglas F, Caporaso, Neil E, and Pharoah, Paul DP

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Prevention, Genetics, Breast Cancer, Human Genome, Cancer, Adult, Aged, Alleles, Biomarkers, Tumor, Breast Neoplasms, Chromosomes, Human, Pair 15, Female, Genotype, Germ-Line Mutation, Humans, Membrane Transport Proteins, Middle Aged, Polymorphism, Single Nucleotide, Proportional Hazards Models, Receptors, Estrogen, Research Design, Risk Assessment, Risk Factors, Survival Analysis, Kathleen Cuningham Foundation Consortium for Research into Familial Breast Cancer, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundTraditional prognostic factors for survival and treatment response of patients with breast cancer do not fully account for observed survival variation. We used available genotype data from a previously conducted two-stage, breast cancer susceptibility genome-wide association study (ie, Studies of Epidemiology and Risk factors in Cancer Heredity [SEARCH]) to investigate associations between variation in germline DNA and overall survival.MethodsWe evaluated possible associations between overall survival after a breast cancer diagnosis and 10 621 germline single-nucleotide polymorphisms (SNPs) from up to 3761 patients with invasive breast cancer (including 647 deaths and 26 978 person-years at risk) that were genotyped previously in the SEARCH study with high-density oligonucleotide microarrays (ie, hypothesis-generating set). Associations with all-cause mortality were assessed for each SNP by use of Cox regression analysis, generating a per rare allele hazard ratio (HR). To validate putative associations, we used patient genotype information that had been obtained with 5' nuclease assay or mass spectrometry and overall survival information for up to 14 096 patients with invasive breast cancer (including 2303 deaths and 70 019 person-years at risk) from 15 international case-control studies (ie, validation set). Fixed-effects meta-analysis was used to generate an overall effect estimate in the validation dataset and in combined SEARCH and validation datasets. All statistical tests were two-sided.ResultsIn the hypothesis-generating dataset, SNP rs4778137 (C>G) of the OCA2 gene at 15q13.1 was statistically significantly associated with overall survival among patients with estrogen receptor-negative tumors, with the rare G allele being associated with increased overall survival (HR of death per rare allele carried = 0.56, 95% confidence interval [CI] = 0.41 to 0.75, P = 9.2 x 10(-5)). This association was also observed in the validation dataset (HR of death per rare allele carried = 0.88, 95% CI = 0.78 to 0.99, P = .03) and in the combined dataset (HR of death per rare allele carried = 0.82, 95% CI = 0.73 to 0.92, P = 5 x 10(-4)).ConclusionThe rare G allele of the OCA2 polymorphism, rs4778137, may be associated with improved overall survival among patients with estrogen receptor-negative breast cancer.

Published
2010

41. Risk of Estrogen Receptor–Positive and –Negative Breast Cancer and Single–Nucleotide Polymorphism 2q35-rs13387042

Author

Milne, Roger L, Benítez, Javier, Nevanlinna, Heli, Heikkinen, Tuomas, Aittomäki, Kristiina, Blomqvist, Carl, Arias, José Ignacio, Zamora, M Pilar, Burwinkel, Barbara, Bartram, Claus R, Meindl, Alfons, Schmutzler, Rita K, Cox, Angela, Brock, Ian, Elliott, Graeme, Reed, Malcolm WR, Southey, Melissa C, Smith, Letitia, Spurdle, Amanda B, Hopper, John L, Couch, Fergus J, Olson, Janet E, Wang, Xianshu, Fredericksen, Zachary, Schürmann, Peter, Bremer, Michael, Hillemanns, Peter, Dörk, Thilo, Devilee, Peter, van Asperen, Christie J, Tollenaar, Rob AEM, Seynaeve, Caroline, Hall, Per, Czene, Kamila, Liu, Jianjun, Li, Yuqing, Ahmed, Shahana, Dunning, Alison M, Maranian, Melanie, Pharoah, Paul DP, Chenevix-Trench, Georgia, Beesley, Jonathan, Investigators, kConFab, Group, AOCS, Bogdanova, Natalia V, Antonenkova, Natalia N, Zalutsky, Iosif V, Anton-Culver, Hoda, Ziogas, Argyrios, Brauch, Hiltrud, Justenhoven, Christina, Ko, Yon-Dschun, Haas, Susanne, Fasching, Peter A, Strick, Reiner, Ekici, Arif B, Beckmann, Matthias W, Giles, Graham G, Severi, Gianluca, Baglietto, Laura, English, Dallas R, Fletcher, Olivia, Johnson, Nichola, dos Santos Silva, Isabel, Peto, Julian, Turnbull, Clare, Hines, Sarah, Renwick, Anthony, Rahman, Nazneen, Nordestgaard, Børge G, Bojesen, Stig E, Flyger, Henrik, Kang, Daehee, Yoo, Keun-Young, Noh, Dong-Young, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, García-Closas, Montserrat, Chanock, Stephen, Lissowska, Jolanta, Brinton, Louise A, Chang-Claude, Jenny, Wang-Gohrke, Shan, Shen, Chen-Yang, Wang, Hui-Chun, Yu, Jyh-Cherng, Chen, Sou-Tong, Bermisheva, Marina, Nikolaeva, Tatjana, Khusnutdinova, Elza, Humphreys, Manjeet K, Morrison, Jonathan, Platte, Radka, Easton, Douglas F, and Consortium, on behalf of the Breast Cancer Association

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Genetics, Breast Cancer, Clinical Research, Cancer, Human Genome, Estrogen, Adult, Aged, Asian People, Biomarkers, Tumor, Breast Neoplasms, Carcinoma, Ductal, Breast, Carcinoma, Intraductal, Noninfiltrating, Case-Control Studies, Confidence Intervals, Confounding Factors, Epidemiologic, Female, Gene Frequency, Genetic Predisposition to Disease, Genotype, Humans, Linkage Disequilibrium, Middle Aged, Neoplasms, Hormone-Dependent, Odds Ratio, Polymorphism, Single Nucleotide, Receptors, Estrogen, Receptors, Progesterone, White People, kConFab Investigators, AOCS Group, Breast Cancer Association Consortium, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract

BackgroundA recent genome-wide association study identified single-nucleotide polymorphism (SNP) 2q35-rs13387042 as a marker of susceptibility to estrogen receptor (ER)-positive breast cancer. We attempted to confirm this association using the Breast Cancer Association Consortium.Methods2q35-rs13387042 SNP was genotyped for 31 510 women with invasive breast cancer, 1101 women with ductal carcinoma in situ, and 35 969 female control subjects from 25 studies. Odds ratios (ORs) were estimated by logistic regression, adjusted for study. Heterogeneity in odds ratios by each of age, ethnicity, and study was assessed by fitting interaction terms. Heterogeneity by each of invasiveness, family history, bilaterality, and hormone receptor status was assessed by subclassifying case patients and applying polytomous logistic regression. All statistical tests were two-sided.ResultsWe found strong evidence of association between rs13387042 and breast cancer in white women of European origin (per-allele OR = 1.12, 95% confidence interval [CI] = 1.09 to 1.15; P(trend) = 1.0 x 10(-19)). The odds ratio was lower than that previously reported (P = .02) and did not vary by age or ethnicity (all P > or = .2). However, it was higher when the analysis was restricted to case patients who were selected for a strong family history (P = .02). An association was observed for both ER-positive (OR = 1.14, 95% CI = 1.10 to 1.17; P = 10(-15)) and ER-negative disease (OR = 1.10, 95% CI = 1.04 to 1.15; P = .0003) and both progesterone receptor (PR)-positive (OR = 1.15, 95% CI = 1.11 to 1.19; P = 5 x 10(-14)) and PR-negative disease (OR = 1.10, 95% CI = 1.06 to 1.15; P = .00002).ConclusionThe rs13387042 is associated with both ER-positive and ER-negative breast cancer in European women.

Published
2009

44. Robust performance of a novel stool DNA test of methylated SDC2 for colorectal cancer detection: a multicenter clinical study

Author

Wang, Jianping, Liu, Side, Wang, Hui, Zheng, Lei, Zhou, Changchun, Li, Guoxin, Huang, Rongkang, Wang, Huaiming, Li, Chujun, Fan, Xinjuan, Fu, Xinhui, Wang, Xinying, Guo, Hongliang, Guan, Jie, Sun, Yanlai, Song, Xilin, Li, Zengjun, Mu, Dianbin, Sun, Jujie, Liu, Xianglin, Qi, Yan, Niu, Feng, Chen, Chunhua, Wu, Xiaolin, Wang, Xianshu, Song, Xianrang, and Zou, Hongzhi

Published
2020
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46. Unique tridentate coordination tailored solvation sheath towards highly stable lithium metal batteries

Author

Wu, Junru, Gao, Ziyao, Tian, Yao, Zhao, Yun, Lin, Yilong, Wang, Kang, Guo, Hexin, Pan, Yanfang, Wang, Xianshu, Kang, Feiyu, Tavajohi Hassan Kiadeh, Naser, Fan, Xiulin, Li, Baohua, Wu, Junru, Gao, Ziyao, Tian, Yao, Zhao, Yun, Lin, Yilong, Wang, Kang, Guo, Hexin, Pan, Yanfang, Wang, Xianshu, Kang, Feiyu, Tavajohi Hassan Kiadeh, Naser, Fan, Xiulin, and Li, Baohua

Abstract

Electrolyte optimization by solvent molecule design has been recognized as an effective approach for stabilizing lithium (Li) metal batteries. However, the coordination pattern of Li+ with solvent molecules has been sparsely considered. Here, we report an electrolyte design strategy based on bi/tridentate chelation of Li+ and solvent to tune the solvation structure. As a proof of concept, a novel solvent with multi oxygen coordination sites is demonstrated to facilitate the formation of an anion-aggregated solvation shell, enhancing the interfacial stability and de-solvation kinetics. As a result, the as-developed electrolyte exhibits ultra-stable cycling over 1400 h in symmetric cells with 50 ?m-thin Li foils. When paired with high-loading LiFePO4, full cells maintain 92% capacity over 500 cycles and deliver improved electrochemical performances over a wide temperature range from -10 °C to 60 °C. Furthermore, the concept is validated in a pouch cell (570 mAh), achieving a capacity retention of 99.5% after 100 cycles. This brand-new insight on electrolyte engineering provides guidelines for practical high-performance Li metal batteries. This article is protected by copyright. All rights reserved

Published
2023
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