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Brinton, Louise A.

https://orcid.org/0000-0003-3853-8562

Mayo Clinic

National Cancer Institute

Citations 55

Large-Scale Evaluation of Common Variation in Regulatory T Cell–Related Genes and Ovarian Cancer Outcome
Charbonneau, Bridget, Moysich, Kirsten B., Kalli, Kimberly R., Oberg, Ann L. , Vierkant, Robert A. , Fogarty, Zachary C. , Block, Matthew S. , Goergen, Krista M., Cunningham, Julie M. , Rider, David N., Hartmann, Lynn C. , Lawrenson, Kate , Wang, Chen , Song, Honglin , DeFazio, Anna , Johnatty, Sharon E., Phelan, Catherine M., Sellers, Thomas A. , Ramirez, Starr M., Vitonis, Allison F., Terry, Kathryn L. , Pike, Malcolm C. , Wu, Anna H. , Ramus, Susan J. , Diergaarde, Brenda , Shen, Howard C., Jensen, Allan , Menkiszak, Janusz , Lubiński, Jan , Rothstein, Joseph H. , McGuire, Valerie , Sieh, Weiva , Lester, Jenny, Walsh, Christine , Vergote, Ignace , Lambrechts, Sandrina, Despierre, Evelyn, García‐Closas, Montserrat , Brinton, Louise A. , Śpiewankiewicz, Beata, Rzepecka, Iwona K. , Dansonka‐Mieszkowska, Agnieszka , Paddock, Lisa E. , Orlow, Irene , Lundvall, Lene, Olson, Sara H. , Høgdall, Claus , Schwaab, Ira, Harter, Philipp , Flanagan, James M. , Brown, Robert , Ekici, Arif B. , Beckmann, Matthias W. , Hein, Alexander , Eccles, Diana , Lurie, Galina, Hays, Laura E., Bean, Yukie T., Goodman, Marc T. , Campbell, Ian , Fasching, Peter A. , Konecny, Gottfried E. , Kaye, Stanley B., Heitz, Florian , Høgdall, Estrid , Chang‐Claude, Jenny , Kupryjańczyk, Jolanta , Wentzensen, Nicolas , Lambrechts, Diether , Whittemore, Alice S. , Culver, Hoda Anton, Levine, Douglas A. , Kjær, Susanne K. , Menon, Usha , Schildkraut, Joellen M. , Pearce, Celeste Leigh, Rossing, Mary Anne, Chenevix‐Trench, Georgia , group, for the AOCS, ACS, Gayther, Simon A. , Ness, Roberta B., Odunsi, Kunle , Sucheston, Lara E., Knutson, Keith L. , Goode, Ellen L. , Lambrechts, Diether , Maurer, Matthew J. , Fridley, Brooke L. , Preston, Claudia C. , Tyrer, Jonathan P. , Doherty, Jennifer A. , Berg, David Van Den , Berchuck, Andrew , Gentry‐Maharaj, Aleksandra , Cybulski, Cezary , Ziogas, Argyrios , Yang, Hannah , Seibold, Petra , Rudolph, Anja , Bois, Andreas du , Paul, James , Pejovic, Tanja B. , Bandera, Elisa V. , Karlan, Beth Y. , Gronwald, Jacek , Cramer, Daniel W. , group, for the AOCS, ACS, Pharoah, Paul D.P. , Knutson, Keith L. , Fazio, Anna de , Lambrechts, Diether , Kjaer, Susanne K , Ramus, Susan J , Hein, Alexander , Jensen, Allan , Vierkant, Robert A , Eccles, Diana , Menon, Usha , Lawrenson, Kate , Moysich, Kirsten , Orlow, Irene , Wang, Chen , Campbell, Ian G , Menkiszak, Janusz , Brown, Robert , Fogarty, Zachary C , Flanagan, James M , Heitz, Florian , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , García-Closas, Montserrat , Ekici, Arif B , Chenevix-Trench, Georgia , Høgdall, Estrid , Høgdall, Claus K , Diergaarde, Brenda , Lubinski, Jan , Goodman, Marc T

Cancer Immunology Research | January 27, 2014 | Volume: 2 | Issue: 4 | Pages: 332-340

10.1158/2326-6066.cir-13-0136 Get It

Abstract The presence of regulatory T cells (Treg) in solid tumors is known to play a role in patient survival in ovarian cancer and other malignancies. We assessed inherited genetic variations via 749 tag single-nucleotide polymorphisms (SNP) in 25 Treg-associated genes (CD28, CTLA4, FOXP3, IDO1, IL10, IL10RA, IL15, 1L17RA, IL23A, IL23R, IL2RA, IL6, IL6R, IL8, LGALS1, LGALS9, MAP3K8, STAT5A, STAT5B, TGFB1, TGFB2, TGFB3, TGFBR1, TGRBR2, and TGFBR3) in relation to ovarian cancer survival. We analyzed genotype and overall survival in 10,084 women with invasive epithelial ovarian cancer, including 5,248 high-grade serous, 1,452 endometrioid, 795 clear cell, and 661 mucinous carcinoma cases of European descent across 28 studies from the Ovarian Cancer Association Consortium (OCAC). The strongest associations were found for endometrioid carcinoma and IL2RA SNPs rs11256497 [HR, 1.42; 95% confidence interval (CI), 1.22–1.64; P = 5.7 × 10−6], rs791587 (HR, 1.36; 95% CI, 1.17–1.57; P = 6.2 × 10−5), rs2476491 (HR, = 1.40; 95% CI, 1.19–1.64; P = 5.6 × 10−5), and rs10795763 (HR, 1.35; 95% CI, 1.17–1.57; P = 7.9 × 10−5), and for clear cell carcinoma and CTLA4 SNP rs231775 (HR, 0.67; 95% CI, 0.54–0.82; P = 9.3 × 10−5) after adjustment for age, study site, population stratification, stage, grade, and oral contraceptive use. The rs231775 allele associated with improved survival in our study also results in an amino acid change in CTLA4 and previously has been reported to be associated with autoimmune conditions. Thus, we found evidence that SNPs in genes related to Tregs seem to play a role in ovarian cancer survival, particularly in patients with clear cell and endometrioid epithelial ovarian cancer. Cancer Immunol Res; 2(4); 332–40. ©2014 AACR.
Abstract B89: Endogenous hormone levels and lobular involution of the breast among healthy, postmenopausal women in the Komen Tissue Bank Study
Khodr, Zeina G. , Brinton, Louise A. , Patel, Deesha A. , Clare, Susan E. , Visscher, Daniel W., Mies, Carolyn, Storniolo, Anna Maria , Sherman, Mark E. , Pfeiffer, Ruth M. , Gierach, Gretchen L. , Falk, Roni T. , Linville, Laura , Hewitt, Stephen M. , Figueroa, Jonine D.

Cancer Prevention Research | January 23, 2014 | Volume: 5 | Issue: 11_Supplement | Pages: B89-B89

10.1158/1940-6207.prev-12-b89 Get It

Abstract Background: Terminal ductal lobular units (TDLUs), the functional units of the breast for lactation, are the structures from which most breast cancers arise. TDLU involution, reflecting atrophy and loss of TDLUs, has been related to lower subsequent breast cancer risk. The predictors of such breast tissue aging, however, are not well defined. Given that estrogens and other hormones play a central role in the etiology of postmenopausal breast cancers, we conducted a study to assess the relationship between four hormones and sex hormone-binding globulin (SHBG) with markers of TDLU involution. Methods: Subjects included healthy women who volunteered between 2009 and 2011 to participate in the Komen Tissue Bank Study. Participants completed a risk factor questionnaire, provided a blood sample, and donated breast tissue for research. Our analysis was restricted to postmenopausal women who were not currently taking menopausal hormones (n=153). A pathologist, masked to patient data, assessed tissue sections for the presence of TDLUs and, among sections containing TDLUs (n=88), measured TDLU diameters for up to ten TDLUs per section. Both presence of TDLUs and TDLU diameter are inversely related to involution. Chemiluminescent immunometric assays were used to measure serum levels of estradiol (E2), SHBG, follicle-stimulating hormone (FSH), and prolactin. Percent free E2 was calculated from measured E2 and SHBG levels. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the presence of TDLUs (none or any) associated with tertiles of serum hormone and SHBG levels. Multivariable ordinal logistic regression was used to calculate ORs, 95% CIs, and p-trend for TDLU diameter categorized as tertiles (≥218.4, 218.4-281, and ≥281 microns) with serum hormone and SHBG levels. All models were adjusted for potential confounding factors. Results: The study population was 87.6% Caucasian with a mean age of 59.5 years, and >2/3 of the women were overweight or obese. Increasing percent free E2 was significantly associated with larger TDLU diameter (OR>2.53 vs. ≥1.99: 5.58, 95% CI: 1.48-21.07; p-trend=0.01), whereas increasing SHBG was associated with smaller TDLU diameter (OR>73nmol/L vs. ≥38 nmol/L: 0.19, 95% CI: 0.05-0.74; p-trend=0.02). Total E2 (p-trend=0.49), FSH (p-trend=0.85), and prolactin (p-trend=0.58) were not associated with TDLU diameter. We did not find significant relationships between the presence of TDLUs and any of the serum levels. Our observed relationships were not modified by age or other breast cancer risk factors, including BMI, years since menopause, and history of bilateral oophorectomy. Conclusion: Based on limited data, these findings suggest that sex hormones may play a role in TDLU involution. Thus, TDLU involution may represent one mechanism by which hormone levels influence breast cancer risk. TDLU measurements may therefore be helpful in assessing breast cancer risk as a marker of breast tissue aging. Analysis of the relationships between hormones and TDLU involution among premenopausal women may provide additional insights into early events in breast carcinogenesis. Citation Format: Zeina G. Khodr, Mark E. Sherman, Ruth M. Pfeiffer, Gretchen L. Gierach, Louise A. Brinton, Roni T. Falk, Deesha Patel, Laura Linville, Susan E. Clare, Daniel Visscher, Carolyn Mies, Stephen Hewitt, Anna Maria Storniolo, Jonine D. Figueroa. Endogenous hormone levels and lobular involution of the breast among healthy, postmenopausal women in the Komen Tissue Bank Study. [abstract]. In: Proceedings of the Eleventh Annual AACR International Conference on Frontiers in Cancer Prevention Research; 2012 Oct 16-19; Anaheim, CA. Philadelphia (PA): AACR; Cancer Prev Res 2012;5(11 Suppl):Abstract nr B89.
Abstract 58: Associations between breast cancer susceptibility markers and terminal duct lobular unit involution in normal breast tissues among women from the Susan G. Komen for the Cure® Tissue Bank.
Brinton, Louise A. , Patel, Deesha A. , Visscher, Daniel W., Mies, Carolyn, Clare, Susan E. , Storniolo, Anna Maria , Figueroa, Jonine D. , Gierach, Gretchen L. , Pfeiffer, Ruth M. , Chanock, Stephen Jacob , Hewitt, Stephen M. , Sherman, Mark E.

Cancer Epidemiology, Biomarkers & Prevention | August 5, 2013 | Volume: 21 | Issue: 11_Supplement | Pages: 58-58

10.1158/1055-9965.gwas-58 Get It

Abstract Background: Terminal duct lobular units (TDLUs) are the anatomical source of most breast cancers. TDLU involution, manifested as atrophy and loss of TDLUs, is associated with reduced breast cancer risk. We hypothesize that breast cancer susceptibility loci are associated with TDLU involution. Accordingly, we evaluated relationships between 25 established breast cancer susceptibility markers and their association with TDLU involution in the Susan G. Komen for the Cure® Tissue Bank (KTB). Methods: Subjects were women ages 18-84 (N=680), who had no personal history of any cancer, were not currently taking menopausal hormones, completed a risk factor questionnaire, provided an Oragene® saliva sample, and donated a 10-guage needle tissue core from the upper outer breast quadrant for research. We genotyped 25 known single nucleotide polymorphisms (SNPs) associated with breast cancer risk using TaqMan® assays. Pathologists masked to risk data classified three features inversely related to TDLU involution using one histological section of breast tissue/subject: number of TDLUs per section (TDLU density), TDLU diameters and number of acini per TDLU. SNPS were compared to metrics of TDLU involution categorized in tertiles: TDLU density (0-1, 2-8, 9+), mean TDLU diameter (53-291, 292-415, 416-1143 microns), and mean number of acini per TDLU (2-10, 11-20, 21+). We estimated age-adjusted per-allele odds ratios (ORs) and 95% confidence intervals (CIs) using ordinal logistic regression models with TDLU measures as the outcome and SNPs as the explanatory variables. Associations with TDLU density were based on up to 680 women with genotype data, while associations with diameter and acini measures were based on up to 469 women with observed TDLUs. Results: The rs3803662 (TOX3/TNRC9) SNP risk allele showed an association with increased TDLU density, larger TDLUs, and more acini in TDLUs (TDLU density per-allele OR=1.29 95%CI=1.04-1.60; TDLU diameter OR=1.32 95%CI=1.00-1.74; and TDLU acini OR=1.34 95%CI=1.02-1.77), consistent with previous observations of significant associations seen for this SNP with mammographic density (a well-established risk factor for breast cancer), breast cancer risk, and survival of breast cancer. In addition, we observed associations for four other SNPs with TDLU density (rs311499, rs10483813, rs2981582, rs3817198), for one other SNP with mean TDLU diameter (rs11249433), and for three other SNPs with mean TDLU acini number (rs704010, rs10941679, rs11249433). Conclusion: These data suggest that breast cancer susceptibility SNPs may be associated with TDLU involution levels, and could represent a mechanism by which they influence breast cancer risk. These findings warrant replication in other studies and provide support for the concept that levels of TDLU involution represent an intermediate marker of breast cancer risk. Citation Format: Jonine D. Figueroa, Gretchen L. Gierach, Ruth Pfeiffer, Stephen Chanock, Louise Brinton, Deesha A. Patel, Daniel Visscher, Carolyn Mies, Stephen Hewitt, Susan Clare, Anna Maria Storniolo, Mark Sherman. Associations between breast cancer susceptibility markers and terminal duct lobular unit involution in normal breast tissues among women from the Susan G. Komen for the Cure® Tissue Bank. [abstract]. In: Proceedings of the AACR Special Conference on Post-GWAS Horizons in Molecular Epidemiology: Digging Deeper into the Environment; 2012 Nov 11-14; Hollywood, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2012;21(11 Suppl):Abstract nr 58.
Analysis of Over 10,000 Cases Finds No Association between Previously Reported Candidate Polymorphisms and Ovarian Cancer Outcome
White, Kristin L., Vierkant, Robert A. , Fogarty, Zachary C. , Charbonneau, Bridget, Block, Matthew S. , Chenevix‐Trench, Georgia , group;, for AOCS/ACS, Rossing, Mary Anne, Pearce, Celeste Leigh, Schildkraut, Joellen M. , Menon, Usha , Kjær, Susanne K. , Levine, Douglas A. , Culver, Hoda Anton, Whittemore, Alice S. , Lambrechts, Diether , Wentzensen, Nicolas , Kupryjańczyk, Jolanta , Chang‐Claude, Jenny , Bandera, Elisa V. , Høgdall, Estrid , Heitz, Florian , Kaye, Stanley B., Fasching, Peter A. , Campbell, Ian , Goodman, Marc T. , Bean, Yukie T., Lurie, Galina, Eccles, Diana , Hein, Alexander , Beckmann, Matthias W. , Ekici, Arif B. , Brown, Robert , Flanagan, James M. , Harter, Philipp , Schwaab, Ira, Høgdall, Claus , Lundvall, Lene, Olson, Sara H. , Orlow, Irene , Paddock, Lisa E. , Rudolph, Anja , Eilber, Ursula, Dansonka‐Mieszkowska, Agnieszka , Rzepecka, Iwona K. , Ziółkowska-Seta, Izabela, Brinton, Louise A. , García‐Closas, Montserrat , Despierre, Evelyn, Lambrechts, Sandrina, Vergote, Ignace , Walsh, Christine , Lester, Jenny, Sieh, Weiva , McGuire, Valerie , Rothstein, Joseph H. , Lubiński, Jan , Menkiszak, Janusz , Jensen, Allan , Gayther, Simon A. , Ramus, Susan J. , Wu, Anna H. , Pike, Malcolm C. , DenBerg, David Van, Terry, Kathryn L. , Vitonis, Allison F., Johnatty, Sharon E., DeFazio, Anna , Song, Honglin , Sellers, Thomas A. , Phelan, Catherine M., Kalli, Kimberly R., Cunningham, Julie M. , Goode, Ellen L. , Lambrechts, Diether , Pharoah, Paul D.P. , group;, for AOCS/ACS, Cramer, Daniel W. , Gronwald, Jacek , Karlan, Beth Y. , Pejovic, Tanja B. , Paul, James , Bois, Andreas du , Yang, Hannah , Ziogas, Argyrios , Cybulski, Cezary , Gentry‐Maharaj, Aleksandra , Berchuck, Andrew , Doherty, Jennifer A. , Tyrer, Jonathan P. , Fridley, Brooke L. , Fazio, Anna de , Rudolph, Anja , Lambrechts, Diether , Kjaer, Susanne K , Ramus, Susan J , Hein, Alexander , Jensen, Allan , Vierkant, Robert A , Eccles, Diana , Menon, Usha , Orlow, Irene , Campbell, Ian G , Menkiszak, Janusz , Brown, Robert , Fogarty, Zachary C , Flanagan, James M , Heitz, Florian , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , García-Closas, Montserrat , Ekici, Arif B , Chenevix-Trench, Georgia , Høgdall, Estrid , Høgdall, Claus K , Lubinski, Jan , Goodman, Marc T , Bandera, Elisa V.

Cancer Epidemiology, Biomarkers & Prevention | March 19, 2013 | Volume: 22 | Issue: 5 | Pages: 987-992

10.1158/1055-9965.epi-13-0028 Get It

Abstract Background: Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated single-nucleotide polymorphisms (SNP) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes. Methods: Twenty-seven SNPs in VHL, HGF, IL18, PRKACB, ABCB1, CYP2C8, ERCC2, and ERCC1 previously associated with ovarian cancer outcome were genotyped in 10,084 invasive cases from 28 studies from the Ovarian Cancer Association Consortium with over 37,000-observed person-years and 4,478 deaths. Cox proportional hazards models were used to examine the association between candidate SNPs and ovarian cancer recurrence or survival with and without adjustment for key covariates. Results: We observed no association between genotype and ovarian cancer recurrence or survival for any of the SNPs examined. Conclusions: These results refute prior associations between these SNPs and ovarian cancer outcome and underscore the importance of maximally powered genetic association studies. Impact: These variants should not be used in prognostic models. Alternate approaches to uncovering inherited prognostic factors, if they exist, are needed. Cancer Epidemiol Biomarkers Prev; 22(5); 987–. ©2013 AACR.
Combined and Interactive Effects of Environmental and GWAS-Identified Risk Factors in Ovarian Cancer
Pearce, Celeste Leigh, Rossing, Mary Anne, Lee, Alice W. , Ness, Roberta B., Webb, Penelope M. , Cancer), for Australian Cancer Study (Ovarian, Group, and Australian Ovarian Cancer Study, Chenevix‐Trench, Georgia , Jordan, Susan M., Stram, Douglas, Chang‐Claude, Jenny, Hein, Rebecca, Nickels, Stefan , Lurie, Galina, Thompson, Pamela J., Carney, Michael E., Goodman, Marc T. , Moysich, Kirsten B., Høgdall, Estrid , Jensen, Allan , Goode, Ellen L. , Cunningham, Julie M. , Vierkant, Robert A. , Gayther, Simon A. , Menon, Usha , Ramus, Susan J. , Brinton, Louise A. , Wentzensen, Nicolas , Lissowska, Jolanta , García‐Closas, Montserrat , Massuger, Leon F.A.G. , Kiemeney, Lambertus A. , Altena, Anne M. van , Aben, Katja K.H. , Iversen, Edwin S., McGuire, Valerie, Moorman, Patricia G. , Pike, Malcolm C. , Sieh, Weiva , Terry, Kathryn L. , Whittemore, Alice S. , Wu, Anna H. , Schildkraut, Joellen M. , Kjær, Susanne K. , Jordan, Susan J. , Cancer), for Australian Cancer Study (Ovarian, Group, and Australian Ovarian Cancer Study, Jordan, Susan M., Fridley, Brooke L. , Weber, Rachel Palmieri , Ziogas, Argyrios , Anton‐Culver, Hoda , Gentry‐Maharaj, Aleksandra , Berchuck, Andrew , Doherty, Jennifer A. , Pharoah, Paul D.P. , Risch, Harvey A. , Stram, Daniel O. , Kiemeney, Lambertus A , Kjaer, Susanne K , Ramus, Susan J , Webb, Penelope M , Jensen, Allan , Vierkant, Robert A , Menon, Usha , Moysich, Kirsten , Lissowska, Jolanta , Sieh, Weiva , García-Closas, Montserrat , Chenevix-Trench, Georgia , Høgdall, Estrid , Goodman, Marc T

Cancer Epidemiology, Biomarkers & Prevention | March 6, 2013 | Volume: 22 | Issue: 5 | Pages: 880-890

10.1158/1055-9965.epi-12-1030-t Get It

Abstract Background: There are several well-established environmental risk factors for ovarian cancer, and recent genome-wide association studies have also identified six variants that influence disease risk. However, the interplay between such risk factors and susceptibility loci has not been studied. Methods: Data from 14 ovarian cancer case–control studies were pooled, and stratified analyses by each environmental risk factor with tests for heterogeneity were conducted to determine the presence of interactions for all histologic subtypes. A genetic “risk score” was created to consider the effects of all six variants simultaneously. A multivariate model was fit to examine the association between all environmental risk factors and genetic risk score on ovarian cancer risk. Results: Among 7,374 controls and 5,566 cases, there was no statistical evidence of interaction between the six SNPs or genetic risk score and the environmental risk factors on ovarian cancer risk. In a main effects model, women in the highest genetic risk score quartile had a 65% increased risk of ovarian cancer compared with women in the lowest [95% confidence interval (CI), 1.48–1.84]. Analyses by histologic subtype yielded risk differences across subtype for endometriosis (Phet < 0.001), parity (Phet < 0.01), and tubal ligation (Phet = 0.041). Conclusions: The lack of interactions suggests that a multiplicative model is the best fit for these data. Under such a model, we provide a robust estimate of the effect of each risk factor that sets the stage for absolute risk prediction modeling that considers both environmental and genetic risk factors. Further research into the observed differences in risk across histologic subtype is warranted. Cancer Epidemiol Biomarkers Prev; 22(5); 880–90. ©2013 AACR.
A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11
Siddiq, Afshan , Chen, Gary K., Lindström, Sara, Eccles, Diana , Millikan, Robert C., Michailidou, Kyriaki , Beckmann, Lars , Aittomäki, Kristiina , Apicella, Carmel, Investigators, Australian Breast Cancer Tissue Bank, Baglietto, Laura , Bandera, Elisa V. , Beckmann, Matthias W. , Berg, Christine D. , Blomqvist, Carl , Brauch, Hiltrud , Brinton, Louise A. , Bui, Minh , Buring, Julie E. , Campa, Daniele , Carpenter, Jane, Chang‐Claude, Jenny, Chen, Constance, Clavel-Chapelon, Françoise, Cox, Angela , Cross, Simon S. , Czene, Kamila , Deming, Sandra L., Diasio, Robert B. , Diver, W. Ryan , Dunning, Alison M. , Durcan, Lorraine , Ekici, Arif B. , Fasching, Peter A. , Study, Familial Breast Cancer, Fejerman, Laura , Figueroa, Jonine D. , Flesch‐Janys, Dieter, Gaudet, Mia M., Gerty, Susan M. , Rodriguez‐Gil, Jorge L. , Giles, Graham G. , Gils, Carla H. van , Graham, Nikki , Greco, Dario , Hankinson, Susan E. , Hartmann, Arndt, Hein, Rebecca, Heinz, Judith , Hoover, Robert N. , Hu, Jennifer J. , Huntsman, Scott , Irwanto, Astrid , Jacobs, Kevin B. , John, Esther M. , Justenhoven, Christina , Kolonel, Laurence N. , Coetzee, Gerhard A. , Lathrop, Mark, Lee, I‐Min , Lesnick, Timothy G. , Lichtner, Peter , Liu, Jianjun , Lund, Eiliv , Makalic, Enes , Martin, Nicholas G. , McLean, Catriona , Meijers‐Heijboer, Hanne , Meindl, Alfons , Miron, Penelope , Montgomery, Grant W. , Müller‐Myhsok, Bertram , Nickels, Stefan , Nyante, Sarah J. , Olswold, Curtis, Overvad, Kim , Palli, Domenico , Park, Daniel J. , Palmer, Julie R. , Peto, Julian , Rahman, Nazneen , Rivadeneira, Fernando , Schmutzler, Rita K. , Slager, Susan, Southey, Melissa C. , Stevens, Kristen N., Sinn, Hans‐Peter , Ross, Eric A. , Ríboli, Elio , Schumacher, Fredrick R. , Severi, Gianluca , Stone, Jennifer , Sund, Malin , Tapper, William , Thun, Michael J., Travis, Ruth C. , Turnbull, Clare , Uitterlinden, André G. , Waisfisz, Quinten , Wang, Zhaoming , Weaver, JoEllen , Schulz-Wendtland, Rüdiger, Nevanlinna, Heli , Easton, Douglas F., Hunter, David J. , Henderson, Brian E., García‐Closas, Montserrat , Kraft, Peter , Haiman, Christopher A. , Vachon, Celine M. , Zheng, Wei , Purrington, Kristen S. , Couch, Fergus J. , Stram, Daniel O. , Rhie, Suhn K. , Ambrosone, Christine B. , Amiano, Pilar , Investigators, Australian Breast Cancer Tissue Bank, Bernstein, Leslie , Bui, Minh , Buys, Saundra S. , Chasman, Daniel I. , Study, Familial Breast Cancer, Feigelson, Heather Spencer , Fletcher, Olivia , Godwin, Andrew K. , Hall, Per N , Hankinson, Susan E. , Hopper, John L. , Ingles, Sue A. , Isaacs, Claudine , Kaaks, Rudolf , Marchand, Loı̈c Le , Lee, Adam M. , Meindl, Alfons , Monroe, Kristine R. , Pathak, Harsh B. , Pharoah, Paul D.P. , Schmidt, Daniel F. , Press, Michael F. , Ridker, Paul M. , dos‐Santos‐Silva, Isabel , Wang, Xianshu , Wilkens, Lynne R. , Berg, David Van Den , Zheng, Wei , Ziegler, Regina G. , Ziv, Elad , Chanock, Stephen Jacob , Vachon, Celine M. , Nevanlinna, H , Giles, Graham G , Eccles, Diana , John, Esther M , Palli, Domenico , Southey, Melissa C , Martin, Nicholas G , Sinn, Peter , Travis, Ruth C , Wang, Zhaoming , Dunning, Alison M , Cox, Angela , García-Closas, Montserrat , Severi, Gianluca , Makalic, Enes , Ekici, Arif B , Michailidou, Kyriaki , Palmer, Julie R , Kraft, Peter , Zheng, Wei , Figueroa, Jonine D , Nyante, Sarah , Czene, Kamila , Stone, Jennifer , Riboli, Elio , Sund, Malin , Baglietto, Laura , Purrington, Kristen S , Mclean, Catriona , Brauch, Hiltrud , Liu, Jing , Bandera, Elisa V.

Human Molecular Genetics | September 14, 2012 | Volume: 21 | Issue: 24 | Pages: 5373-5384

10.1093/hmg/dds381 Get It

Abstract 4465: Breast cancer risk factor associations with breast tissue morphometry: results from the Komen for the Cure® Tissue Bank
Brinton, Louise A. , Patel, Deesha A. , Clare, Susan E. , Visscher, Daniel W., Mies, Carrolyn, Yang, Rose, Storniolo, Anna Maria , Figueroa, Jonine D. , Linville, Laura , Pfeiffer, Ruth M. , Gierach, Gretchen L. , Hewitt, Stephen M. , Sherman, Mark E.

Cancer Research | August 13, 2012 | Volume: 72 | Issue: 8_Supplement | Pages: 4465-4465

10.1158/1538-7445.am2012-4465 Get It

Abstract Little is known about the effects of many recognized breast cancer risk factors on the normal breast. We hypothesize that risk factors affect the number and morphometry of terminal ductal lobular units (TDLUs), the microanatomical structure from which most breast cancers arise. To assess this hypothesis, we evaluated relationships between breast cancer risk factors and TDLU number, TDLU diameter, and acini per TDLU in breast tissue donated by healthy volunteers. Subjects included 786 healthy women ages 18-84 years without a personal history of any cancer, who provided a risk factor questionnaire and donated a 10-guage needle core from the upper outer breast quadrant. A pathologist, masked to subject data, assessed TDLU number per section, TDLU diameter and acini per TDLU using digitized images of hematoxylin and eosin stained sections of tissue. Seventy-two randomly selected images were examined by two additional pathologists. We generated ordered categorical variables for the number of TDLUs per section (0-1, 2-8, 9+), median TDLU diameter (53-262, 263-377, 378-1375 microns) and median number of acini per TDLU (2-10, 11-20, 21+). We computed Spearman correlations between measures, and intraobserver and interobserver agreement. Associations between breast cancer risk factors and TDLU measures were assessed by estimating odds ratios (OR) and 95% confidence intervals (CI) using ordinal logistic regression models, adjusted for age. TDLU diameter and acini count were highly correlated (rho =0.71); TDLU number per section was less strongly related to the diameter (rho= 0.18) and acini measures (rho=0.20). Inter and intraobserver agreement for TDLU measures were highly correlated (rho range 0.68-0.98). All TDLU measurements were significantly lower among women age 50 years and older compared with younger women. Compared with Caucasians, African American women had more TDLUs per section (ORadj=2.03, 95% CI= 1.06-3.89). Greater numbers of TDLUs were also related to having a family history of two or more relatives with breast cancer compared with none (ORadj=2.01, 95% CI=0.91-4.46); and for parous compared with nulliparous women (ORadj=1.61, 95% CI=1.16-2.25). In contrast, parity was associated with reduced median number of acini per TDLU (ORadj=0.60, 95% CI = 0.40-0.90) and median diameter (ORadj=0.64, 95% CI = 0.42-0.96) compared with nulliparity. Our data suggest that TDLUs are more frequent among women with a positive family history of breast cancer or African Americans. Parity, an established protective factor for breast cancer risk, was related to increased numbers of TDLUs, but fewer acini per TDLU, suggesting that TDLUs may increase with pregnancy and then involute. Our data, along with published results linking TDLU involution with a reduction in breast cancer risk, suggest TDLU morphometry may reflect early biologic changes marking breast cancer susceptibility. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4465. doi:1538-7445.AM2012-4465
Abstract 1900: Age at last birth and endometrial cancer risk: Pooled analysis in the Epidemiology of Endometrial Cancer Consortium
Karageorgi, Stalo , Deming, Sandra L., Anderson, Kristin E. , Brinton, Louise A. , Chen, Chu , Horn‐Ross, Pamela L., Lissowska, Jolanta , Lurie, Galina, Mack, Thomas M. , Matsuno, Rayna K., McCann, Susan E. , Moysich, Kristen B., Pike, Malcolm C. , Shu, Xiao-Ou , Strom, Brian L., Group, The Australian National Endometrial Cancer Study, Ursin, Giske , Webb, Penny M., Weiss, Noel S. , Wentzensen, Nicolas , Setiawan, Veronica Wendy , Bernstein, Leslie , Cai, Hui , Cerhan, James R. , Cozen, Wendy , Doherty, Jennifer A. , Freudenheim, Jo L. , Goodman, Marc T. , Rebbeck, Timothy R. , Robien, Kim , Shu, Xiao-Ou , Spurdle, Amanda B. , Group, The Australian National Endometrial Cancer Study, Xiang, Yong‐Bing , Webb, Penny M., Yang, Hannah , Vivo, Immaculata De , Lissowska, Jolanta

Cancer Research | July 21, 2012 | Volume: 71 | Issue: 8_Supplement | Pages: 1900-1900

10.1158/1538-7445.am2011-1900 Get It

Abstract Some studies show that childbearing at older age is associated with lower risk of endometrial cancer, but whether the association is independent of number of children or other factors still requires clarification. We pooled individual-level data from epidemiologic studies in the Epidemiology of Endometrial Cancer Consortium (E2C2). Data on age at last birth and/or last pregnancy were available from 14 studies: 11 case-control studies and 3 cohort studies; the latter were analyzed using a nested case-control design. A total of 9,613 endometrial cancer cases and 17,112 controls were included in the analysis. The majority of women were White (82%) and older than 55 years (69%). We estimated the effects of age at last birth using data from 12 studies and age at last pregnancy using data from 10 studies on the risk of endometrial cancer by calculating odds ratios (OR) and 95% confidence intervals (95% CI) using logistic regression models. Potential confounders included in the analysis were race, body mass index, parity, age at menarche, age at first birth, oral contraceptive use, postmenopausal hormone use, smoking status, and report of diabetes. After adjusting for potential confounders, a reduction in endometrial cancer risk was observed in women with increasing age at last birth (P trend <0.0001) and age at last pregnancy (P trend <0.0001). The OR per five-year increase in age at last birth and age at last pregnancy was 0.90 (95%CI: 0.86, 0.94) and 0.91 (95% CI: 0.87, 0.95), respectively. Women who had their last child at an age >40 years were at a 34% decreased risk compared with women who had their last child at an age <25 years (95% CI: 0.52, 0.82). Compared to women with age at last pregnancy <25 years, those with age at last pregnancy >40 years had a 30% decreased risk of endometrial cancer (95%CI: 0.57, 0.86). Inverse associations were observed for Whites and Asians in race-specific analysis and also in analysis restricted to women with at least 2 births. In this large pooled analysis, we show that late age at last birth or last pregnancy is a strong and independent protective factor for endometrial cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 1900. doi:10.1158/1538-7445.AM2011-1900
Associations of common variants at 1p11.2 and 14q24.1 (RAD51L1) with breast cancer risk and heterogeneity by tumor subtype: findings from the Breast Cancer Association Consortium†
García‐Closas, Montserrat , Humphreys, Manjeet K., Platte, Radka, Hopper, John L. , Southey, Melissa C. , Apicella, Carmel, Hammet, Fleur, Schmidt, Marjanka K. , Tollenaar, Rob A.�E.�M. , Veer, Laura J. van’t , Fasching, Peter A. , Beckmann, Matthias W. , Ekici, Arif B. , Strick, Reiner , Peto, Julian , dos‐Santos‐Silva, Isabel , Fletcher, Olivia , Johnson, Nichola , Sawyer, Elinor J. , Tomlinson, Ian , Kerin, Michael J. , Burwinkel, Barbara , Marmé, F., Schneeweiß, Andreas , Sohn, Christof , Bojesen, Stig E. , Flyger, Henrik, Nordestgaard, Børge G. , Zamora, M. Pilar , Brenner, Hermann , Rahman, Nazneen , Turnbull, Clare , Seal, Sheila, Renwick, Anthony, Brauch, Hiltrud , Justenhoven, Christina , Brüning, Thomas , Network, The GENICA, Chang‐Claude, Jenny , Hein, Rebecca, Wang‐Gohrke, Shan , Dörk, Thilo , Schürmann, Peter , Bremer, Michael , Hillemanns, Peter , Nevanlinna, Heli , Heikkinen, Tuomas , Aittomäki, Kristiina, Blomqvist, Carl , Bogdanova, Natalia , Antonenkova, Natalia, Rogov, Yuriy , Karstens, Johann H., Bermisheva, Marina , Prokofieva, Darya, Gantcev, Shamil Hanafievich, Хуснутдинова, Э. К. , Lindblom, Annika , Margolin, Sara , Chenevix‐Trench, Georgia , Chen, Xiaoqing, Group, for the kConFab AOCS Management, Mannermaa, Arto, Kosma, Veli‐Matti , Soini, Ylermi, Kataja, Vesa , Lambrechts, Diether , Yesilyurt, Betül T., Chrisiaens, Marie-Rose, Peeters, Stéphanie , Radice, Paolo , Peterlongo, Paolo , Manoukian, Siranoush , Barile, Monica, Couch, Fergus, Diasio, Robert B. , Giles, Graham G. , Severi, Gianluca , Baglietto, Laura , Maclean, Catriona, Offit, Ken, Robson, Mark E. , Vijai, Joseph , Gaudet, Mia M., John, Esther M. , Winqvist, Robert , Pylkäs, Katri , Jukkola‐Vuorinen, Arja , Grip, Mervi, Andrulis, Irene L. , Knight, Julia A. , Mulligan, Anna Marie , O’Malley, Frances P., Brinton, Louise A. , Sherman, Mark E., Lissowska, Jolanta , Hooning, Maartje J. , Ouweland, Ans M.W. van den, Collée, J. Margriet, Czene, Kamila , Cox, Angela , Brock, Ian W., Reed, Malcolm , Cross, Simon S. , Dunning, Alison M. , Kang, Daehee , Yoo, Keun-Young, Noh, Dong‐Young , Ahn, Sei Hyun , Jakubowska, Anna , Lubiński, Jan , Jaworska, Katarzyna, Durda, Katarzyna, Sangrajrang, Suleeporn , Gaborieau, Valérie , Brennan, Paul , McKay, James , Shen, Chen‐Yang , Ding, Shian-ling, Hsu, Huan-Ming, Yu, Jyh-Cherng, Ashworth, Alan , Swerdlow, Anthony J. , Jones, Michael E. , Orr, Nick , Egan, Kathleen M. , Titus‐Ernstoff, Linda, Easton, Doug , Spurdle, Amanda B. , Webb, Penelope M. , DeFazio, Anna , Thorne, Heather , Lambrechts, Diether , Figueroa, Jonine D. , Broeks, Annegien , Benı́tez, Javier , Milne, Roger L. , Arias, José Ignacio , Müller, Heiko , Arndt, Volker , Network, The GENICA, Beesley, Jonathan , Chen, Xiaoqing, Group, for the kConFab AOCS Management, Mannermaa, Arto, Lee, Adam M. , Wang, Xianshu , Chanock, Stephen Jacob , Martens, John W.M. , Hall, Per N , Pharoah, Paul D.P. , Anton‐Culver, Hoda , Ziogas, Argyrios , Trentham‐Dietz, Amy , Newcomb, Polly A. , Fazio, Anna de , Nevanlinna, H , Dörk, Thilo , Lambrechts, Diether , Giles, Graham G , Peterlongo, Paolo , Spurdle, Amanda B , Webb, Penelope M , Hillemanns, Peter , Swerdlow, Anthony J , Radice, Paolo , Lissowska, Jolanta , John, Esther M , Joseph, Vijai , Southey, Melissa C , Dunning, Alison M , Jakubowska, Anna , Jones, Michael E , Lambrechts, Diether , Brenner, Hermann , Cox, Angela , García-Closas, Montserrat , Schmidt, Marjanka K , Severi, Gianluca , Ekici, Arif B , Bogdanova, Natalia V , Robson, Mark , Chenevix-Trench, Georgia , Czene, Kamila , Pylkäs, Katri , Manoukian, Siranoush , Lubinski, Jan , Baglietto, Laura , Fletcher, Olivia , Bojesen, Stig E , Brauch, Hiltrud , Lindblom, Annika , Sawyer, Elinor J , Orr, Nick , Kang, Daehee

Human Molecular Genetics | August 18, 2011 | Volume: 20 | Issue: 23 | Pages: 4693-4706

10.1093/hmg/ddr368 Get It

Low penetrance breast cancer susceptibility loci are associated with specific breast tumor subtypes: findings from the Breast Cancer Association Consortium
Schmidt, Marjanka K. , Sherman, Mark E., Hopper, John L. , Dite, Gillian S. , Apicella, Carmel, Smith, Letitia, Hammet, Fleur, Southey, Melissa C. , Veer, Laura van ‘t , Smit, Vincent T.H.B.M. , Fasching, Peter A. , Beckmann, Matthias W. , Jud, Sebastian M. , Ekici, Arif B. , Hartmann, Arndt , Hein, Alexander , Schulz-Wendtland, R., Burwinkel, Barbara , Schneeweiß, Andreas , Sinn, Hans‐Peter , Sohn, Christof , Tchatchou, Sandrine, Bojesen, Stig E. , Nordestgaard, Børge G. , Flyger, Henrik, Ørsted, David D., Kaur‐Knudsen, Diljit, Rodríguez, Primitiva Menéndez, Brauch, Hiltrud , Justenhoven, Christina , Ko, Yon‐Dschun, Network, The Genica, Hamann, Ute, Fischer, Hans‐Peter , Brüning, Thomas , Pesch, Beate, Chang‐Claude, Jenny , Wang‐Gohrke, Shan , Bremer, Michael , Karstens, Johann H., Hillemanns, Peter , Dörk, Thilo , Nevanlinna, Heli , Heikkinen, Tuomas , Blomqvist, Carl , Aittomäki, Kristiina, Aaltonen, Kirsimari, Lindblom, Annika , Margolin, Sara , Mannermaa, Arto, Kosma, Veli‐Matti , Kauppinen, Jaana M., Kataja, Vesa , Auvinen, Päivi , Eskelinen, Matti , Soini, Ylermi, Chenevix‐Trench, Georgia , Spurdle, Amanda B. , Beesley, Jonathan, Chen, Xiaoqing, Holland, Helene, kConFab, AOCS, Lambrechts, Diether , Claes, Bart, Vandorpe, T., Neven, Patrick , Wildiers, Hans , Flesch‐Janys, Dieter, Hein, Rebecca, Löning, Thomas , Kosel, Matthew , Fredericksen, Zachary S., Giles, Graham G. , Baglietto, Laura , Severi, Gianluca , McLean, Catriona , Haiman, Christopher A., Henderson, Brian E., Kolonel, Laurence N. , Alnæs, Grethe Grenaker, Kristensen, Vessela, Børresen‐Dale, Anne‐Lise , Hunter, David J. , Hankinson, Susan E. , Andrulis, Irene L. , Mulligan, Anna Marie , O’Malley, Frances P., Huijts, Petra E.A., Tollenaar, Rob A.�E.�M. , Seynaeve, Caroline, Lissowska, Jolanta , Brinton, Louise A. , Pepłońska, Beata , Yang, Xiaohong R. , Hooning, Maartje J. , Hollestelle, Antoinette , Oldenburg, Rogier A., Jager, Agnes , Kriege, Mieke, Ozturk, Bahar, Czene, Kamila , Humphreys, Keith , Liu, Jianjun , Cox, Angela , Connley, Daniel, Cramp, Helen, Balasubramanian, Sabapathy P. , Reed, Malcolm , Dunning, Alison M. , Easton, Douglas F., Humphreys, Manjeet K., Caldas, Carlos , Blows, Fiona M., Driver, Kristy, Provenzano, Elena , Lubiński, Jan , Jakubowska, Anna , Huzarski, Tomasz , Byrski, Tomasz , Górski, Bohdan , Brennan, Paul , Sangrajrang, Suleeporn , Gaborieau, Valérie , Shen, Chen‐Yang , Hsiung, Chia‐Ni , Yu, Jyh‐Cherng , Chen, Shou‐Tung , Hsu, Giu‐Cheng, Hou, Ming‐Feng , Huang, Chiun‐Sheng , García‐Closas, Montserrat , Thorne, Heather , Hartikainen, Jaana M. , Bowtell, David D.L. , Lambrechts, Diether , Broeks, Annegien , Couch, Fergus J. , Veer, Laura J. van’t , Groot, Renate H. M. de , Marmé, Frederik , Milne, Roger L. , Pérez, José Ignacio Arias , Zamora, Pilar M. , Benı́tez, Javier , Network, The Genica, Heikkilä, Päivi , Mannermaa, Arto, Chen, Xiaoqing, kConFab, AOCS, Wang, Xianshu , Marchand, Loı̈c Le , Kristensen, Vessela N. , Devilee, Peter , Asperen, Christi J. van , Chanock, Stephen Jacob , Figueroa, Jonine D. , Leenders, Geert J.L.H. van , Hall, Per N , Cross, Simon S. , Cybulski, Cezary , Gronwald, Jacek , Anton‐Culver, Hoda , Ziogas, Argyrios , Pharoah, Paul D.P. , Nevanlinna, H , Dörk, Thilo , Lambrechts, Diether , Giles, Graham G , Spurdle, Amanda B , Hein, Alexander , Hillemanns, Peter , Lissowska, Jolanta , Caldas, Carlos , Southey, Melissa C , Sinn, Peter , Dunning, Alison M , Jakubowska, Anna , Lambrechts, Diether , Cox, Angela , García-Closas, Montserrat , Schmidt, Marjanka K , Severi, Gianluca , Ekici, Arif B , Hartikainen, Jaana M , Chenevix-Trench, Georgia , Huzarski, Tomasz , Czene, Kamila , Bowtell, David D , Lubinski, Jan , Baglietto, Laura , Bojesen, Stig E , Huang, Chiun-Sheng , Wildiers, Hans , Mclean, Catriona , Brauch, Hiltrud , Lindblom, Annika , Liu, Jing

Human Molecular Genetics | May 19, 2011 | Volume: 20 | Issue: 16 | Pages: 3289-3303

10.1093/hmg/ddr228 Get It