L. Yaghjyan, R. Tamimi, K. Bertrand, C. Scott, M. Jensen, S. Pankratz, K. Brandt, D. Visscher, A. Norman, Fergus Cough, J. Shepherd, B. Fan, Yunni-Yi Chen, Lin Ma, Andrew H. Beck, S. Cummings, K. Kerlikowske, C. Vachon
{"title":"摘要:乳腺密度与绝经状态和绝经后激素使用的相互作用与侵袭性乳腺癌亚型的风险有关","authors":"L. Yaghjyan, R. Tamimi, K. Bertrand, C. Scott, M. Jensen, S. Pankratz, K. Brandt, D. Visscher, A. Norman, Fergus Cough, J. Shepherd, B. Fan, Yunni-Yi Chen, Lin Ma, Andrew H. Beck, S. Cummings, K. Kerlikowske, C. Vachon","doi":"10.1158/1538-7755.carisk16-b27","DOIUrl":null,"url":null,"abstract":"Purpose: The evidence on associations of mammographic breast density with breast cancer risk by combination of tumor aggressiveness features is limited. We examined associations of breast density phenotypes with risk of aggressive breast tumor features by menopausal status, and current postmenopausal hormone therapy. Methods: This study included 2,635 invasive breast cancer cases and 4,059 controls from participants of four nested case-control studies within four established cohorts: the Mayo Mammography Health Study, the Nurses Health Study, Nurses Health Study II, and San Francisco Mammography Registry. Percent breast density, absolute dense and non-dense areas were assessed from digitized film-screen mammograms using a computer-assisted threshold technique and standardized across studies. We used polytomous logistic regression to quantify the associations of breast density measures with risk of breast tumor aggressiveness (defined as presence of 2 or more of the following tumor characteristics: size ≥2cm, grade 2 or 3, or positive nodes), stratified by menopausal status and current hormone therapy (i.e., premenopausal, postmenopausal/estrogen therapy, postmenopausal/combined therapy, and postmenopausal/no hormones). We also evaluated differences in the strength of associations across categories. In a secondary analysis, we examined these associations while excluding cases with mammogram date within 2 years of diagnosis. Results: Positive associations of percent density and dense area and inverse associations of non-dense area with breast cancer risk were stronger in aggressive vs. non-aggressive tumors (OR=2.62, 95%CI 2.08-3.31 vs. OR=1.94, 95%CI 1.62-2.33 for percent density≥51% vs. 11-25%, p-heterogeneity=0.001; OR=1.89, 95%CI 1.54-2.31 vs. OR=1.65, 95%CI 1.41-1.93 for dense area 4th vs. 2nd quartile, p-heterogeneity=0.015; OR=0.56, 95%CI 0.44-0.72 vs. OR=0.71, 95%CI 0.59-0.86 for non-dense area 4th vs 2nd quartile, p-heterogeneity=0.007, respectively). These patterns were similar across all menopausal and hormone therapy groups (P-interactions=0.62, 0.76, and 0.23, for percent density, dense area and non-dense area, respectively). Excluding cases diagnosed within 2 years of mammography resulted in similar findings. Conclusion: Mammographic density phenotypes were more strongly associated with aggressive cancer (having two or more of the following: size ≥2cm, grade 2 or 3, or positive nodes) vs. non-aggressive types of breast cancer across categories of menopause and hormone therapy types. Citation Format: Lusine Yaghjyan, Rulla Tamimi, Kimberly Bertrand, Christopher G. Scott, Matthew R. Jensen, Shane Pankratz, Kathleen Brandt, Daniel Visscher, Aaron Norman, Fergus Cough, John Shepherd, Bo Fan, Yunn-Yi Chen, Lin Ma, Andrew H. Beck, Steven R. Cummings, Karla Kerlikowske, Celine Vachon. Interaction of mammographic breast density with menopausal status and postmenopausal hormone use in relation to the risk of aggressive breast cancer subtypes. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr B27.","PeriodicalId":9487,"journal":{"name":"Cancer Epidemiology and Prevention Biomarkers","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Abstract B27: Interaction of mammographic breast density with menopausal status and postmenopausal hormone use in relation to the risk of aggressive breast cancer subtypes\",\"authors\":\"L. Yaghjyan, R. Tamimi, K. Bertrand, C. Scott, M. Jensen, S. Pankratz, K. Brandt, D. Visscher, A. Norman, Fergus Cough, J. Shepherd, B. Fan, Yunni-Yi Chen, Lin Ma, Andrew H. Beck, S. Cummings, K. Kerlikowske, C. 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We used polytomous logistic regression to quantify the associations of breast density measures with risk of breast tumor aggressiveness (defined as presence of 2 or more of the following tumor characteristics: size ≥2cm, grade 2 or 3, or positive nodes), stratified by menopausal status and current hormone therapy (i.e., premenopausal, postmenopausal/estrogen therapy, postmenopausal/combined therapy, and postmenopausal/no hormones). We also evaluated differences in the strength of associations across categories. In a secondary analysis, we examined these associations while excluding cases with mammogram date within 2 years of diagnosis. Results: Positive associations of percent density and dense area and inverse associations of non-dense area with breast cancer risk were stronger in aggressive vs. non-aggressive tumors (OR=2.62, 95%CI 2.08-3.31 vs. OR=1.94, 95%CI 1.62-2.33 for percent density≥51% vs. 11-25%, p-heterogeneity=0.001; OR=1.89, 95%CI 1.54-2.31 vs. OR=1.65, 95%CI 1.41-1.93 for dense area 4th vs. 2nd quartile, p-heterogeneity=0.015; OR=0.56, 95%CI 0.44-0.72 vs. OR=0.71, 95%CI 0.59-0.86 for non-dense area 4th vs 2nd quartile, p-heterogeneity=0.007, respectively). These patterns were similar across all menopausal and hormone therapy groups (P-interactions=0.62, 0.76, and 0.23, for percent density, dense area and non-dense area, respectively). Excluding cases diagnosed within 2 years of mammography resulted in similar findings. Conclusion: Mammographic density phenotypes were more strongly associated with aggressive cancer (having two or more of the following: size ≥2cm, grade 2 or 3, or positive nodes) vs. non-aggressive types of breast cancer across categories of menopause and hormone therapy types. Citation Format: Lusine Yaghjyan, Rulla Tamimi, Kimberly Bertrand, Christopher G. Scott, Matthew R. Jensen, Shane Pankratz, Kathleen Brandt, Daniel Visscher, Aaron Norman, Fergus Cough, John Shepherd, Bo Fan, Yunn-Yi Chen, Lin Ma, Andrew H. Beck, Steven R. Cummings, Karla Kerlikowske, Celine Vachon. Interaction of mammographic breast density with menopausal status and postmenopausal hormone use in relation to the risk of aggressive breast cancer subtypes. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. 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引用次数: 0
摘要
目的:结合肿瘤侵袭性特征,乳房x线摄影中乳腺密度与乳腺癌风险的关联证据有限。我们研究了乳腺密度表型与绝经状态和当前绝经后激素治疗的侵袭性乳腺肿瘤特征风险的关系。方法:本研究纳入了2,635例浸润性乳腺癌病例和4,059例对照,来自四个已建立的队列中的四个嵌套病例对照研究的参与者:梅奥乳房x线照相术健康研究、护士健康研究、护士健康研究II和旧金山乳房x线照相术登记处。使用计算机辅助阈值技术评估数字化胶片乳房x光片的乳腺密度百分比、绝对致密区和非致密区,并对所有研究进行标准化。我们使用多瘤logistic回归来量化乳腺密度测量与乳腺肿瘤侵袭性风险的关联(定义为存在以下2种或2种以上肿瘤特征:尺寸≥2cm, 2级或3级,或阳性淋巴结),并按绝经状态和当前激素治疗(即绝经前、绝经后/雌激素治疗、绝经后/联合治疗、绝经后/无激素治疗)分层。我们还评估了不同类别间关联强度的差异。在二次分析中,我们检查了这些关联,同时排除了诊断2年内进行乳房x光检查的病例。结果:在侵袭性肿瘤和非侵袭性肿瘤中,百分比密度和密度面积与乳腺癌风险呈正相关,非密度面积与乳腺癌风险负相关更强(OR=2.62, 95%CI 2.08-3.31 vs OR=1.94, 95%CI 1.62-2.33,百分比密度≥51% vs 11-25%, p异质性=0.001;密集区域的OR=1.89, 95%CI 1.54-2.31 vs. OR=1.65, 95%CI 1.41-1.93, p异质性=0.015;非密集区域的OR=0.56, 95%CI 0.44-0.72 vs. OR=0.71, 95%CI 0.59-0.86, p异质性分别=0.007)。这些模式在所有绝经期和激素治疗组中都是相似的(p -相互作用分别为0.62,0.76和0.23,分别为百分比密度,密集区域和非密集区域)。排除2年内乳房x光检查诊断的病例,结果相似。结论:乳房x线摄影密度表型与侵袭性乳腺癌(具有以下两种或两种以上:尺寸≥2cm, 2级或3级,或阳性淋巴结)与非侵袭性乳腺癌在绝经和激素治疗类型的分类中相关性更强。引文格式:Lusine Yaghjyan、Rulla Tamimi、Kimberly Bertrand、Christopher G. Scott、Matthew R. Jensen、Shane Pankratz、Kathleen Brandt、Daniel Visscher、Aaron Norman、Fergus Cough、John Shepherd、Bo Fan、yun - yi Chen、Lin Ma、Andrew H. Beck、Steven R. Cummings、Karla Kerlikowske、Celine Vachon。乳腺密度与绝经状态和绝经后激素使用的相互作用与侵袭性乳腺癌亚型的风险有关。[摘要]。摘自:AACR特别会议论文集:改进癌症风险预测以预防和早期发现;2016年11月16日至19日;费城(PA): AACR;Cancer epidemiology Biomarkers pre2017;26(5增刊):摘要nr B27。
Abstract B27: Interaction of mammographic breast density with menopausal status and postmenopausal hormone use in relation to the risk of aggressive breast cancer subtypes
Purpose: The evidence on associations of mammographic breast density with breast cancer risk by combination of tumor aggressiveness features is limited. We examined associations of breast density phenotypes with risk of aggressive breast tumor features by menopausal status, and current postmenopausal hormone therapy. Methods: This study included 2,635 invasive breast cancer cases and 4,059 controls from participants of four nested case-control studies within four established cohorts: the Mayo Mammography Health Study, the Nurses Health Study, Nurses Health Study II, and San Francisco Mammography Registry. Percent breast density, absolute dense and non-dense areas were assessed from digitized film-screen mammograms using a computer-assisted threshold technique and standardized across studies. We used polytomous logistic regression to quantify the associations of breast density measures with risk of breast tumor aggressiveness (defined as presence of 2 or more of the following tumor characteristics: size ≥2cm, grade 2 or 3, or positive nodes), stratified by menopausal status and current hormone therapy (i.e., premenopausal, postmenopausal/estrogen therapy, postmenopausal/combined therapy, and postmenopausal/no hormones). We also evaluated differences in the strength of associations across categories. In a secondary analysis, we examined these associations while excluding cases with mammogram date within 2 years of diagnosis. Results: Positive associations of percent density and dense area and inverse associations of non-dense area with breast cancer risk were stronger in aggressive vs. non-aggressive tumors (OR=2.62, 95%CI 2.08-3.31 vs. OR=1.94, 95%CI 1.62-2.33 for percent density≥51% vs. 11-25%, p-heterogeneity=0.001; OR=1.89, 95%CI 1.54-2.31 vs. OR=1.65, 95%CI 1.41-1.93 for dense area 4th vs. 2nd quartile, p-heterogeneity=0.015; OR=0.56, 95%CI 0.44-0.72 vs. OR=0.71, 95%CI 0.59-0.86 for non-dense area 4th vs 2nd quartile, p-heterogeneity=0.007, respectively). These patterns were similar across all menopausal and hormone therapy groups (P-interactions=0.62, 0.76, and 0.23, for percent density, dense area and non-dense area, respectively). Excluding cases diagnosed within 2 years of mammography resulted in similar findings. Conclusion: Mammographic density phenotypes were more strongly associated with aggressive cancer (having two or more of the following: size ≥2cm, grade 2 or 3, or positive nodes) vs. non-aggressive types of breast cancer across categories of menopause and hormone therapy types. Citation Format: Lusine Yaghjyan, Rulla Tamimi, Kimberly Bertrand, Christopher G. Scott, Matthew R. Jensen, Shane Pankratz, Kathleen Brandt, Daniel Visscher, Aaron Norman, Fergus Cough, John Shepherd, Bo Fan, Yunn-Yi Chen, Lin Ma, Andrew H. Beck, Steven R. Cummings, Karla Kerlikowske, Celine Vachon. Interaction of mammographic breast density with menopausal status and postmenopausal hormone use in relation to the risk of aggressive breast cancer subtypes. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr B27.