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  • Online Resource  (16)
  • American Association for Cancer Research (AACR)  (16)
  • Noh, Dong-Young  (16)
  • Park, Sue K.  (16)
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  • Online Resource  (16)
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  • American Association for Cancer Research (AACR)  (16)
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  • 1
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 70, No. 8_Supplement ( 2010-04-15), p. 4720-4720
    Abstract: Background: DNA copy number variation (CNV) is a common phenomenon in human genome and some CNVs have been associated with susceptibility or resistance to disease. It has been suggested that gene copy number can be elevated in cancer cells. To evaluate potential role of CNV in breast cancer development, we conducted genome-wide association study of CNV in Seoul Breast Cancer Study. Methods: Cases were diagnosed with breast cancer and underwent curative surgery at two teaching hospitals located in Seoul, Korea, between 2001 and 2007 (n=2,386). Control subjects were selected from multi-center based cohort study in 2007 (n=2,386). The Affymetrix SNP assay 6.0 array, which includes 946,000 probes for the detection of copy number variation, was used. Nexus Copy Number version 4.1 was used for detecting CNVs (significance threshold=10−6; minimum number of probes per segment=4), and statistical analysis. After quality control step (i.e., robust variance sample QC), total 2,315 cases and 2,039 controls were compared for the difference of each CNV. In this study, we selected the CNVs that were different between cases and controls by at least 5% (P adjusted for multiple comparison & lt;0.01). Adjacent CNVs were grouped into CNV regions ranging 10 kb to 300 kb. Results: Between case and controls, thirteen CNV regions including chr115q11.2, chr3q26.1, chr6q16.3, chr17q31.1 were significantly different for copy number. We note that those regions include genes such as UGT2B17 (UDP glucuronosyltransferase 2 family, polypeptide B18), OR4C11 (olfactory receptor, family 4, subfamily C, member 11), LRRC37A2 (leucine rich repeat containing 37, member A2), ARL17P1 (ADP-ribosylation factor-like 17 pseudogene 1), LOC644974, and the others. We are planning validation study for the regions by quantitative PCR to verify the association with breast cancer risk found in this study. Conclusion: Our results suggest that common CNVs may be associated with breast cancer in Korean women. However, further variation study is essential to support our observation and underlying biological mechanisms for the associations needs to be elucidated. Note: This abstract was not presented at the AACR 101st Annual Meeting 2010 because the presenter was unable to attend. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4720.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2010
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 2
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2010
    In:  Cancer Research Vol. 70, No. 8_Supplement ( 2010-04-15), p. LB-432-LB-432
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 70, No. 8_Supplement ( 2010-04-15), p. LB-432-LB-432
    Abstract: Background: A model for predicting breast cancer risk has been developed in Korea. Associated risk factors included in the model were 1st degree relatives with breast cancer, age at menarche, menopausal status, number of children, age at first fullterm pregnancy, mammography, and exercise for patients less than 50 years of age and 1st degree relatives with breast cancer, age at menarche, age at menopause, number of children, BMI, mammography, and exercise for patients greater than 50 years of age. The area under the curve among over 50 year olds was 0.655 and 0.611 among under 50 year old. Objectives: The objective of the study was validation of an absolute risk prediction model for breast cancer in Korea by using a large, population cohort and patient registry. Method: The Korean Multi-center Cancer Cohort (KMCC) and registry data of breast cancer patients constructed by the Korean Breast Cancer Society were used to validate the model. 12221 women more than 30 years of age at baseline answered questions about demographic characteristics, reproductive factors, lifestyle, family history since 1993 and we identified 11 and 5 incident breast cancer patient more than 50 and less than 50 years of age, respectively. Age, resident area, and included year were matched to select controls; women aged less than 50 were matched 1:20 while women aged greater than 50 were matched 1:10. In the breast cancer registry, clinical, demographic characteristics and reproductive factors of breast cancer patients were collected since 1980. We selected 2727 patients under 50 years old and 2000 patients over 50 years old matched by age and diagnostic year and calculated their 10, 20, 30, and 40 year absolute risk. Result: In the KMCC data, 10 year absolute risk was 0.39 (95% CI 0.36-0.42) among cases and 0.36 (95% CI 0.35-0.37) among controls under 50 years old and 0.16 (95% CI 0.10-0.22) among cases and 0.08 (0.07-0.09) among controls over 50 years old and it was significantly different in the median test (P-value: 0.02 in both groups). Among breast cancer patient group over 50 years old, 10, 20, 30 and 40 year absolute risk were 0.22 (95% CI 0.21-0.23), 0.35 (95% CI 0.34-0.36), 0.43 (95% CI 0.42-0.45), 0.46 (95% CI 0.44-0.48) respectively and 0.56 (95% CI 0.55-0.57), 1.18 (95% CI 1.15-1.21), 1.53 (95% CI 1.50-1.57), 1.74 (95% CI 1.70-1.78). Conclusion: Due to the short follow up time and small number of cancer incidence in the KMCC cohort, although absolute risk was small, a significant difference was confirmed. Future validation study with a large number and enough follow up cohort time is needed. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr LB-432.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2010
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 3
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 21, No. 8 ( 2012-08-01), p. 1371-1380
    Abstract: Background: Matrix metalloproteinase-2 (MMP-2) has been thought of as a predictor of recurrence or metastasis risk or prognostic markers in cancer. We evaluated whether preoperative serum levels of MMP-2 work as a prognostic biomarker in breast cancer prognosis. Methods: Preoperative serum levels of MMP-2 were measured with ELISA in 303 patients with histologically confirmed breast cancer. The median follow-up time for all patients was 4.24 years. The relationship of MMP-2 to survival was investigated using Cox proportional hazard regression model adjusted for the tumor–node–metastasis (TNM) stage and estrogen receptor (ER) status. Results: In the multivariate analysis, disease-free survival (DFS) was worse among patients with the third tertile of MMP-2 level than with the first tertile of MMP-2 level [hazard ratio, 1.80; 95% confidence interval (CI), 1.04–3.11; P = 0.04]. However, when the patients were stratified by age, ER status, histologic grade, and nuclear grade, inverse correlation was shown between serum MMP-2 levels and prognostic factors, and the associations between MMP-2 and DFS were only significant among patients with poor prognostic factors (HR, 2.75; 95% CI, 1.32–5.73 in ER-negative; HR, 2.90; 95% CI, 1.42–5.92 in histologic grade III; and HR, 2.61; 95% CI, 1.26–5.39 in nuclear grade III). Conclusions: Our results suggest that the preoperative serum levels of MMP-2 were associated with the survival in patients with breast cancer in ER-negative, higher histologic grade, or higher nuclear grade breast cancers. Impact: Our results indicate that serum levels of MMP-2 may play a role as prognostic biomarker in breast cancer survival. Cancer Epidemiol Biomarkers Prev; 21(8); 1371–80. ©2012 AACR.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2012
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
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  • 4
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 72, No. 8_Supplement ( 2012-04-15), p. 4494-4494
    Abstract: Objective: We evaluated whether preoperative serum levels of matrix metalloproteinase-2 (MMP-2) work as a prognostic biomarker in breast cancer prognosis. Methods: Three hundred and three women with histologically confirmed breast cancer were recruited. The follow-up time for all patients was 4.24 years. The MMP-2 levels were quantitatively measured by enzyme-linked immunosorbent assay (ELISA) using the preoperative serum. The relationship of MMP-2 to survival was investigated using Cox's proportional hazard model adjusted for the TNM stage and estrogen receptor (ER) status. Results: In the multivariate analysis, disease-free survival (DFS) was worse among patients with the third tertile of MMP-2 compared to the first tertile of MMP-2 (hazard ratio (HR)=1.80, 95% confidence interval (CI)=1.04-3.11, P=0.04). Furthermore, when the patients were stratified by histological grade and nuclear grade, the worse DFS was predicted by high levels of MMP-2 (HR=2.90 and 95% CI=1.42-5.92 in histological grade III vs. I-II and HR=2.61 and 95% CI=1.26-5.39 in nuclear grade III vs. I-II). In ER negative patients, high levels of MMP-2 also tended to have a worse prognosis (HR=2.75 and 95% CI=1.32-5.73). Conclusions: Our results suggest that the preoperative serum levels of MMP-2 were associated with the survival of breast cancer as a potential prognostic biomarker. 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 4494. doi:1538-7445.AM2012-4494
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2012
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 5
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2012
    In:  Cancer Epidemiology, Biomarkers & Prevention Vol. 21, No. 8 ( 2012-08-01), p. 1385-1387
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 21, No. 8 ( 2012-08-01), p. 1385-1387
    Abstract: Background: Although the role of miRNA in cancer development and progression has been well established, the association between genetic variants in miRNA biogenesis pathway genes and breast cancer risk has been yet unclear. Methods: We analyzed data from two genome-wide association studies conducted in East Asian women including 5,066 cases and 4,337 controls. Among the single-nucleotide polymorphisms (SNP), which were directly genotyped or imputed, we selected 237 SNPs in 32 genes involved in miRNA biogenesis pathway and its regulation. Results: Although eight SNPs were nominally associated with breast cancer risk in combined samples (P & lt; 0.05), none of them were significant after adjustment for multiple comparisons. Conclusions: The common genetic variants in miRNA biogenesis pathway genes may not be associated with breast cancer risk. Impact: This study suggests no association between the polymorphisms in miRNA biogenesis pathway genes and breast cancer risk. Studies with large sample size and more genetic variants should be warranted to adequately evaluate the potential association. Cancer Epidemiol Biomarkers Prev; 21(8); 1385–7. ©2012 AACR.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2012
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
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  • 6
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2012
    In:  Cancer Research Vol. 72, No. 8_Supplement ( 2012-04-15), p. 640-640
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 72, No. 8_Supplement ( 2012-04-15), p. 640-640
    Abstract: Age of menarche as well as height is known to be associated with breast cancer risk. Adult height is associated with age at menarche, which may explain that growth in height accelerates driven by hormone changes during adolescence. The authors evaluated associations between the age of menarche and height as the adolescent growth indicator and breast cancer risk among 3,725 cases and 3,748 controls enrolled in a multicenter, case-control study in Korea, Seoul Breast Cancer Study (2001-2007). Logistic regression models were used to estimate odds ratios (ORs) of age at menarche ( & lt;=13, 14-15, and 16+ years) and quintile of height calculated in each 10-year age group based on total participants for breast cancer risk. The associations were assessed in overall and in strata of menopausal status, birth year group (median, 1957) and hormone receptor status. Early menarche and taller height increased risk of breast cancer as expected; for both premenopausal and postmenopausal women, those starting menarche at 13 years or younger had 1.3-fold (95% CI: 1.1-1.6 for premenopausal women and 1.0-1.7 for postmenopausal women, respectively) comparing to women starting menarche at 16 years or older. In contrast, the association between height and breast cancer risk was different between menopausal status; women with 5th quintile in each age group had 2.1-fold (95% CI: 1.6-2.7) comparing to women with 1st quintile among postmenopausal women, however, associations were absent among premenopausal women. Age at menarche, height and birth year were highly correlated with each other; age at menarche and height increased as the birth year increased significantly. The associations of age at menarche and height on breast cancer in the strata of birth year group were similar with the associations in the menopausal status. Although cases with hormone receptor positive increased as the birth year increased, the ORs of age at menarche and height did not vary significantly by hormone receptor status. These findings suggest that age at menarche and adult height is associated with breast cancer overall, particularly among postmenopausal women or women born prior to 1957. This may result from the chronological changes of adolescent growth in Korea. 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 640. doi:1538-7445.AM2012-640
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2012
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 7
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2009
    In:  Cancer Epidemiology, Biomarkers & Prevention Vol. 18, No. 2 ( 2009-02-01), p. 508-515
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 18, No. 2 ( 2009-02-01), p. 508-515
    Abstract: High-density lipoprotein cholesterol (HDL-C) has been suggested to be associated with breast cancer. However, the roles of HDL-C and hypertriglyceridemia on breast cancer still have been controversial. The goal of this study was to investigate the association between HDL-C with breast cancer risk, stratifying by menopausal status, and body mass index. The hormonal receptor status of breast has been proposed to modify the effect of HDL-C on breast cancer. Multicenter hospital-based case-control study was conducted from November 2004 to December 2005 in Korea. After one to two individual matchings by age (±5 years) and menopausal status, 690 cases and 1,380 controls were included in the analysis. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated by conditional, unconditional, and multinomial logistic regressions. Protective effect of HDL-C on breast cancer was only observed among premenopausal women with an OR (95% CI) of 0.49 (0.33-0.72) for HDL-C ≥60 versus & lt;50 mg/dL (Ptrend & lt; 0.01). Only nonobese premenopausal women had a significant decreased risk (OR, 0.34; 95% CI, 0.22-0.53). OR (95% CI) of low HDL-C ( & lt;50 mg/dL) and high triglyceride (TG; ≥150 mg/dL) category was 2.20 (1.32-3.67) on estrogen receptor-negative and progesterone receptor-negative breast cancer compared with high HDL-C (≥50 mg/dL) and low TG ( & lt;150 mg/dL) category. This study suggests that higher level of HDL-C may reduce breast cancer risk among premenopausal women. Estrogen receptor-negative and progesterone receptor-negative breast cancer was associated with dyslipidemia, which implicates that association among HDL-C, TG, and breast cancer may be modified by receptor status. (Cancer Epidemiol Biomarkers Prev 2009;18(2):508–15)
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2009
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
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  • 8
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2011
    In:  Cancer Research Vol. 71, No. 8_Supplement ( 2011-04-15), p. 2274-2274
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 71, No. 8_Supplement ( 2011-04-15), p. 2274-2274
    Abstract: Purpose: The association between the expression level of lipocalin2 with cancer progression has already been reported in several tumors such as lung, colon, and breast cancer. However, no previous study has examined the relationship between the circulating level of lipocalin2 and its effect on the prognosis of breast cancer. Thus, this study aimed at assessing whether the preoperative serum level of lipocalin2 is related to the risk of recurrence and death in patients who have undergone curative surgical treatment for breast cancer. Design: A total of 370 histologically proven breast cancer patients who had undergone curative resections of the tumor between Mar 2004 and Jan 2007 were included in this study. The median follow-up time of survivors was 4.35 years. The preoperative serum level of lipocalin2 was assayed by using enzyme-linked immunosorbent assay. Disease-free survival was defined as the time from surgery to the date of the first locoregional recurrence, first distant metastasis, or death from any cause. Univariate survival analysis was performed using the Kaplan-Meier method, and log-rank tests were employed for comparison of survival curves. Multivariate analyses were conducted using Cox's proportional hazard regression model adjusted for age, tumor size, lymph node metastasis, hormone receptor status, adjuvant chemotherapy and hormone therapy. Results: The Kaplan-Meier curve showed that patients with upper three-quarters of lipocalin2 concentration combined had lower survival rates than the patients with lowest quarter concentration (P=0.014). In multivariate analysis, lipocalin2 remained an independent prognostic marker for disease-free survival after adjusting for known prognostic factors. The hazard ratio comparing the uppermost quartile to the lowest quartile of lipocalin2 was 2.33 (95% confidence interval, 1.19-4.56; P=0.015). Conclusions: The results revealed that patients with higher level of lipocalin2 showed significantly lower disease-free survival than patients with lower level. Our study suggests that the higher preoperative level of lipocalin2 may be closely linked to poor prognosis in breast cancer. Further validation is required and functional studies are warranted to elucidate the underlying biological mechanisms for the association. Key words: Lipocalin2 (LCN), serum biomarker, breast cancer, prognosis 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 2274. doi:10.1158/1538-7445.AM2011-2274
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2011
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 9
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2012
    In:  Cancer Research Vol. 72, No. 8_Supplement ( 2012-04-15), p. 1655-1655
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 72, No. 8_Supplement ( 2012-04-15), p. 1655-1655
    Abstract: Introduction: While the incidence of breast cancer is relatively low in Korean women, the proportion of breast cancer that develops in younger age is much higher than in western countries. Family-based linkage study has focused on the identification of a region which is associated with the age at onset in familial breast cancer. However, genetic factors for onset age of breast cancer are still largely unknown. While genome-wide association studies (GWAS) have identified over 20 susceptibility loci for breast cancer, no previous study has examined the relationship between the common genetic variations and the age at onset in breast cancer. Methods: To identify genetic factors underlying onset age of breast cancer, we investigated the association between genetic variants and age at diagnosis in 2,155 breast cancer cases. Over 1.9 million SNPs either directly genotyped using Affymetrix 6.0 or imputed with HapMap 2.0 as a reference panel were evaluated after quality control. Tests of association were conducted with Plink v1.01 using the additive genetic model and Mach2qtl with allelic dosages in a linear regression model in which onset age was included as a dependent variable (continuous). The differences of mean age across genotype-groups were also compared using one-way analysis of variance. Results: The mean age at onset in breast cancer was 48.1 ± 9.31. The SNPs with p-value less than 1×10-5 obtained from linear regression were clustered into two regions: two SNPs (rs6684400 and rs6659875) are at 1q25.3 in intergenic region between ZNF648 and GLUL gene; the other two (rs669576 and rs667007) are at 11q25 in intronic region of NTM gene. Per-allele effect size was 1.4 ± 0.30 (p = 4.84E-06) for rs6684400 C allele and 3.1 ± 0.68 for rs669576 T allele (p = 7.11E-06). The mean age at onset for the rs6684400 G/G, C/G and C/C groups were found to be 47.2 ± 9.00, 48.1 ± 9.32 and 49.7 ± 9.59, respectively (p = 0.0001). As for the rs669576, the mean age at onset for G/G, G/T and T/T groups were 47.8 ± 9.15, 50.9 ± 10.38 and 54.3 ± 7.80, respectively (p & lt; 0.0001) Conclusions: Our study suggests that the common genetic variants may be closely linked to age at onset in breast cancer. Further validation with a larger sample size is required to validate our result. 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 1655. doi:1538-7445.AM2012-1655
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2012
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 10
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2012
    In:  Cancer Epidemiology, Biomarkers & Prevention Vol. 21, No. 11_Supplement ( 2012-11-01), p. 60-60
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 21, No. 11_Supplement ( 2012-11-01), p. 60-60
    Abstract: Background: Although several low-penetrance loci associated with breast cancer risk were identified and confirmed, knowledge of the effect of multiple risk alleles is limited especially in Asian women. Therefore we evaluated the association between the polygenic risk scores and breast cancer risk in Korean women using the most recent list of breast cancer susceptibility loci. Methods: We analyzed 51 single-nucleotide polymorphisms (SNPs) located in 34 loci in 1,774 cases and age-frequency matched 1,774 control subjects participating in Seoul Breast Case-Control Study. The fourteen independent SNPs associated with breast cancer risk were selected based on the results of single SNP analysis. The genetic risk score (GRS) were calculated using simple count method and weighted method. Tests of association were conducted using the logistic regression for quintiles of each GRS with or without adjustment. The c-statistic was estimated to evaluate the contribution of GRS to risk prediction model including non-genetic factors (age, family history of breast cancer, education, BMI, menopausal status, age at menarche, age at first full-term pregnancy, and number of children). Results: Fourteen SNPs (rs13393577, rs4973768, rs7716600, rs1092913, rs889312, rs9485372, rs2046210, rs1562430, rs704010, rs10736303, rs7107217, rs10771399, rs3803662, and rs4784227), each of which reflected a genetically independent locus, were found to be associated with breast cancer risk. A highly significant trend was observed between the GRS and the risk of breast cancer. The adjusted odds ratios for women in the highest quintile of count GRS or weighted GRS vs. those in the lowest were 2.64 (95% confidence interval (95% CI), 2.09- 3.35; Ptrend=9.3E-19) and 2.76 (95% CI, 2.18- 3.50; Ptrend=5.9E-21), respectively. The c-statistic for model including the GRS in additional to the conventional risk factors was 0.6389 (95% CI, 0.620-0.658) vs. 0.6041 (95% CI, 0.585-0.623) with the conventional risk factors only. Conclusions: Supporting the polygenic inheritance model of breast cancer, our study showed that GRS based on low-penetrance SNPs adds very modest improvement to risk prediction models. Citation Format: Hyuna Sung, Ji-Yeob Choi, Sue K. Park, Wonshik Han, Keun-Young Yoo, Sei-Hyun Ahn, Dong-Young Noh, Daehee Kang. Combined effects of low-penetrance variants on breast cancer risk: Results from the Seoul Breast Cancer Study. [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 60.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2012
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
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