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Song, F

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Song

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Song, F

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Now showing 1 - 4 of 4
  • Publication

    Risk of a Second Primary Cancer after Non-melanoma Skin Cancer in White Men and Women: A Prospective Cohort Study

    (Public Library of Science, 2013) Song, F; Qureshi, Abrar A.; Giovannucci, Edward; Fuchs, Charles; Chen, Wendy; Stampfer, Meir; Han, Jiali

    Background: Previous studies suggest a positive association between history of non-melanoma skin cancer (NMSC) and risk of subsequent cancer at other sites. The purpose of this study is to prospectively examine the risk of primary cancer according to personal history of NMSC. Methods and Findings: In two large US cohorts, the Health Professionals Follow-up Study (HPFS) and the Nurses' Health Study (NHS), we prospectively investigated this association in self-identified white men and women. In the HPFS, we followed 46,237 men from June 1986 to June 2008 (833,496 person-years). In the NHS, we followed 107,339 women from June 1984 to June 2008 (2,116,178 person-years). We documented 29,447 incident cancer cases other than NMSC. Cox proportional hazard models were used to calculate relative risks (RRs) and 95% confidence intervals (CIs). A personal history of NMSC was significantly associated with a higher risk of other primary cancers excluding melanoma in men (RR = 1.11; 95% CI 1.05–1.18), and in women (RR = 1.20; 95% CI 1.15–1.25). Age-standardized absolute risk (AR) was 176 in men and 182 in women per 100,000 person-years. For individual cancer sites, after the Bonferroni correction for multiple comparisons (n = 28), in men, a personal history of NMSC was significantly associated with an increased risk of melanoma (RR = 1.99, AR = 116 per 100,000 person-years). In women, a personal history of NMSC was significantly associated with an increased risk of breast (RR = 1.19, AR = 87 per 100,000 person-years), lung (RR = 1.32, AR = 22 per 100,000 person-years), and melanoma (RR = 2.58, AR = 79 per 100,000 person-years). Conclusion: This prospective study found a modestly increased risk of subsequent malignancies among individuals with a history of NMSC, specifically breast and lung cancer in women and melanoma in both men and women. Please see later in the article for the Editors' Summary

  • Publication

    Replication of associations between GWAS SNPs and melanoma risk in the Population Architecture using Genomics and Epidemiology (PAGE) study

    (2014) Kocarnik, Jonathan M; Park, S Lani; Han, Jiali; Dumitrescu, Logan; Cheng, Iona; Wilkens, Lynne R; Schumacher, Fredrick R; Kolonel, Laurence; Carlson, Chris S; Crawford, Dana C; Goodloe, Robert J; Dilks, Holli; Baker, Paxton; Richardson, Danielle; Ambite, José Luis; Song, F; Quresh, Abrar A; Zhang, Mingfeng; Duggan, David; Hutter, Carolyn; Hindorff, Lucia A; Bush, William S; Kooperberg, Charles; Marchand, Loic Le; Peters, Ulrike
  • Publication

    Pleiotropic and Sex-Specific Effects of Cancer GWAS SNPs on Melanoma Risk in the Population Architecture Using Genomics and Epidemiology (PAGE) Study

    (Public Library of Science, 2015) Kocarnik, Jonathan M.; Park, S. Lani; Han, Jiali; Dumitrescu, Logan; Cheng, Iona; Wilkens, Lynne R.; Schumacher, Fredrick R.; Kolonel, Laurence; Carlson, Chris S.; Crawford, Dana C.; Goodloe, Robert J.; Dilks, Holli H.; Baker, Paxton; Richardson, Danielle; Matise, Tara C.; Ambite, José Luis; Song, F; Qureshi, Abrar A.; Zhang, Mingfeng; Duggan, David; Hutter, Carolyn; Hindorff, Lucia; Bush, William S.; Kooperberg, Charles; Le Marchand, Loic; Peters, Ulrike

    Background: Several regions of the genome show pleiotropic associations with multiple cancers. We sought to evaluate whether 181 single-nucleotide polymorphisms previously associated with various cancers in genome-wide association studies were also associated with melanoma risk. Methods: We evaluated 2,131 melanoma cases and 20,353 controls from three studies in the Population Architecture using Genomics and Epidemiology (PAGE) study (EAGLE-BioVU, MEC, WHI) and two collaborating studies (HPFS, NHS). Overall and sex-stratified analyses were performed across studies. Results: We observed statistically significant associations with melanoma for two lung cancer SNPs in the TERT-CLPTM1L locus (Bonferroni-corrected p<2.8x10-4), replicating known pleiotropic effects at this locus. In sex-stratified analyses, we also observed a potential male-specific association between prostate cancer risk variant rs12418451 and melanoma risk (OR=1.22, p=8.0x10-4). No other variants in our study were associated with melanoma after multiple comparisons adjustment (p>2.8e-4). Conclusions: We provide confirmatory evidence of pleiotropic associations with melanoma for two SNPs previously associated with lung cancer, and provide suggestive evidence for a male-specific association with melanoma for prostate cancer variant rs12418451. This SNP is located near TPCN2, an ion transport gene containing SNPs which have been previously associated with hair pigmentation but not melanoma risk. Previous evidence provides biological plausibility for this association, and suggests a complex interplay between ion transport, pigmentation, and melanoma risk that may vary by sex. If confirmed, these pleiotropic relationships may help elucidate shared molecular pathways between cancers and related phenotypes.

  • Publication

    Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

    (American Association for Cancer Research (AACR), 2016) Kar, S. P.; Beesley, J.; Amin Al Olama, A.; Michailidou, K.; Tyrer, J.; Kote-Jarai, Z.; Lawrenson, K.; Lindstrom, S.; Ramus, S. J.; Thompson, D. J.; Kibel, Adam; Dansonka-Mieszkowska, A.; Michael, A.; Dieffenbach, A. K.; Gentry-Maharaj, A.; Whittemore, A. S.; Wolk, A.; Monteiro, A.; Peixoto, A.; Kierzek, A.; Cox, A.; Rudolph, A.; Gonzalez-Neira, A.; Wu, A. H.; Lindblom, A.; Swerdlow, A.; Ziogas, A.; Ekici, A. B.; Burwinkel, B.; Karlan, B. Y.; Nordestgaard, B. G.; Blomqvist, C.; Phelan, C.; McLean, C.; Pearce, C. L.; Vachon, C.; Cybulski, C.; Slavov, C.; Stegmaier, C.; Maier, C.; Ambrosone, C. B.; Hogdall, C. K.; Teerlink, C. C.; Kang, D.; Tessier, D. C.; Schaid, D. J.; Stram, D. O.; Cramer, Daniel; Neal, D. E.; Eccles, D.; Flesch-Janys, D.; Edwards, D. R. V.; Wokozorczyk, D.; Levine, D. A.; Yannoukakos, D.; Sawyer, E. J.; Bandera, E. V.; Poole, Elizabeth M.; Goode, E. L.; Khusnutdinova, E.; Hogdall, E.; Song, F; Bruinsma, F.; Heitz, F.; Modugno, F.; Hamdy, F. C.; Wiklund, F.; Giles, G. G.; Olsson, H.; Wildiers, H.; Ulmer, H.-U.; Pandha, H.; Risch, H. A.; Darabi, H.; Salvesen, H. B.; Nevanlinna, H.; Gronberg, H.; Brenner, H.; Brauch, H.; Anton-Culver, H.; Song, H.; Lim, H.-Y.; McNeish, I.; Campbell, I.; Vergote, I.; Gronwald, J.; Lubinski, J.; Stanford, J. L.; Benitez, J.; Doherty, J. A.; Permuth, J. B.; Chang-Claude, J.; Donovan, J. L.; Dennis, J.; Schildkraut, J. M.; Schleutker, J.; Hopper, J. L.; Kupryjanczyk, J.; Park, J. Y.; Figueroa, J.; Clements, J. A.; Knight, J. A.; Peto, J.; Cunningham, J. M.; Pow-Sang, J.; Batra, J.; Czene, K.; Lu, K. H.; Herkommer, K.; Khaw, K.-T.; Matsuo, K.; Muir, K.; Offitt, K.; Chen, K.; Moysich, K. B.; Aittoma ki, K.; Odunsi, K.; Kiemeney, L. A.; Massuger, L. F. A. G.; Fitzgerald, L. M.; Cook, L. S.; Cannon-Albright, L.; Hooning, M. J.; Pike, M. C.; Bolla, M. K.; Luedeke, M.; Teixeira, M. R.; Goodman, M. T.; Schmidt, M. K.; Riggan, M.; Aly, M.; Rossing, M. A.; Beckmann, M. W.; Moisse, M.; Sanderson, M.; Southey, M. C.; Jones, M.; Lush, M.; Hildebrandt, M. A. T.; Hou, M.-F.; Schoemaker, M. J.; Garcia-Closas, M.; Bogdanova, N.; Rahman, N.; Le, N. D.; Orr, N.; Wentzensen, N.; Pashayan, N.; Peterlongo, P.; Guenel, P.; Brennan, P.; Paulo, P.; Webb, P. M.; Broberg, P.; Fasching, P. A.; Devilee, P.; Wang, Q.; Cai, Q.; Li, Q.; Kaneva, R.; Butzow, R.; Kopperud, R. K.; Schmutzler, R. K.; Stephenson, R. A.; MacInnis, R. J.; Hoover, R. N.; Winqvist, R.; Ness, R.; Milne, R. L.; Travis, R. C.; Benlloch, S.; Olson, S. H.; McDonnell, S. K.; Tworoger, Shelley; Maia, S.; Berndt, S.; Lee, S. C.; Teo, S.-H.; Thibodeau, S. N.; Bojesen, S. E.; Gapstur, S. M.; Kjaer, S. K.; Pejovic, T.; Tammela, T. L. J.; Do rk, T.; Bru ning, T.; Wahlfors, T.; Key, T. J.; Edwards, T. L.; Menon, U.; Hamann, U.; Mitev, V.; Kosma, V.-M.; Setiawan, V. W.; Kristensen, V.; Arndt, V.; Vogel, W.; Zheng, W.; Sieh, W.; Blot, W. J.; Kluzniak, W.; Shu, X.-O.; Gao, Y.-T.; Schumacher, F.; Freedman, M. L.; Berchuck, A.; Dunning, A. M.; Simard, J.; Haiman, C. A.; Spurdle, A.; Sellers, T. A.; Hunter, David; Henderson, B. E.; Kraft, Peter; Chanock, S. J.; Couch, F. J.; Hall, P.; Gayther, S. A.; Easton, D. F.; Chenevix-Trench, G.; Eeles, R.; Pharoah, P. D. P.; Lambrechts, D.; undefined, undefined

    Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10(-8) seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type-specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10(-5) in the three-cancer meta-analysis.