Jacob K Kresovich, Catherine Guranich, Serena Houghton, Jing Qian, Micheal E Jones, Maegan E Boutot, Mitch Dowsett, A Heather Eliassen, Montserrat Garcia-Closas, Peter Kraft, Aaron Norman, Michael Pollak, Sabina Rinaldi, Bernard Rosner, Minouk J Schoemaker, Christopher Scott, Anthony J Swerdlow, Roger L Milne, Shelley S Tworoger, Celine M Vachon, Susan E Hankinson
{"title":"血浆催乳素与绝经后患乳腺癌的风险:对四项前瞻性队列研究的汇总分析。","authors":"Jacob K Kresovich, Catherine Guranich, Serena Houghton, Jing Qian, Micheal E Jones, Maegan E Boutot, Mitch Dowsett, A Heather Eliassen, Montserrat Garcia-Closas, Peter Kraft, Aaron Norman, Michael Pollak, Sabina Rinaldi, Bernard Rosner, Minouk J Schoemaker, Christopher Scott, Anthony J Swerdlow, Roger L Milne, Shelley S Tworoger, Celine M Vachon, Susan E Hankinson","doi":"10.1186/s13058-024-01922-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Prolactin, a hormone produced by the pituitary gland, regulates breast development and may contribute to breast cancer etiology. However, most epidemiologic studies of prolactin and breast cancer have been restricted to single, often small, study samples with limited exploration of effect modification.</p><p><strong>Methods: </strong>The Biomarkers in Breast Cancer Risk Prediction consortium includes 8,279 postmenopausal women sampled from four prospective cohort studies, of whom 3,441 were diagnosed with invasive breast cancer after enrollment. Prolactin concentrations were measured for all study participants on plasma samples collected when all women were postmenopausal and before any breast cancer diagnosis using ELISA assays. Pooled, unconditional logistic regression models, adjusted for confounders, estimated odd ratios (OR) for associations of prolactin and postmenopausal breast cancer risk overall and stratified by breast cancer risk factors.</p><p><strong>Results: </strong>Higher plasma prolactin concentrations were positively associated with postmenopausal breast cancer risk (> 13.2 ng/mL vs. < 7.9 ng/mL, OR: 1.20, 95% CI: 1.06, 1.36; P-trend < 0.001). Although associations did not appear to vary by time since blood draw or most breast cancer risk factors, associations were primarily observed in current users of postmenopausal hormones at blood draw (> 13.2 ng/mL vs. < 7.9 ng/mL, current users, OR: 1.58, 95% CI: 1.27, 1.96, P-trend < 0.001; non-current users, OR: 1.08, 95% CI: 0.93, 1.27, P-trend = 0.11; P-heterogeneity = 0.06).</p><p><strong>Conclusion: </strong>Prolactin may be a risk factor for postmenopausal breast cancer, particularly in the context of postmenopausal hormone use. Investigations of prolactin interactions with other hormonal factors may further inform breast cancer etiology.</p>","PeriodicalId":49227,"journal":{"name":"Breast Cancer Research","volume":"26 1","pages":"169"},"PeriodicalIF":7.4000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11590566/pdf/","citationCount":"0","resultStr":"{\"title\":\"Plasma prolactin and postmenopausal breast cancer risk: a pooled analysis of four prospective cohort studies.\",\"authors\":\"Jacob K Kresovich, Catherine Guranich, Serena Houghton, Jing Qian, Micheal E Jones, Maegan E Boutot, Mitch Dowsett, A Heather Eliassen, Montserrat Garcia-Closas, Peter Kraft, Aaron Norman, Michael Pollak, Sabina Rinaldi, Bernard Rosner, Minouk J Schoemaker, Christopher Scott, Anthony J Swerdlow, Roger L Milne, Shelley S Tworoger, Celine M Vachon, Susan E Hankinson\",\"doi\":\"10.1186/s13058-024-01922-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Prolactin, a hormone produced by the pituitary gland, regulates breast development and may contribute to breast cancer etiology. However, most epidemiologic studies of prolactin and breast cancer have been restricted to single, often small, study samples with limited exploration of effect modification.</p><p><strong>Methods: </strong>The Biomarkers in Breast Cancer Risk Prediction consortium includes 8,279 postmenopausal women sampled from four prospective cohort studies, of whom 3,441 were diagnosed with invasive breast cancer after enrollment. Prolactin concentrations were measured for all study participants on plasma samples collected when all women were postmenopausal and before any breast cancer diagnosis using ELISA assays. Pooled, unconditional logistic regression models, adjusted for confounders, estimated odd ratios (OR) for associations of prolactin and postmenopausal breast cancer risk overall and stratified by breast cancer risk factors.</p><p><strong>Results: </strong>Higher plasma prolactin concentrations were positively associated with postmenopausal breast cancer risk (> 13.2 ng/mL vs. < 7.9 ng/mL, OR: 1.20, 95% CI: 1.06, 1.36; P-trend < 0.001). Although associations did not appear to vary by time since blood draw or most breast cancer risk factors, associations were primarily observed in current users of postmenopausal hormones at blood draw (> 13.2 ng/mL vs. < 7.9 ng/mL, current users, OR: 1.58, 95% CI: 1.27, 1.96, P-trend < 0.001; non-current users, OR: 1.08, 95% CI: 0.93, 1.27, P-trend = 0.11; P-heterogeneity = 0.06).</p><p><strong>Conclusion: </strong>Prolactin may be a risk factor for postmenopausal breast cancer, particularly in the context of postmenopausal hormone use. 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引用次数: 0
摘要
背景:催乳素是脑垂体分泌的一种激素,它能调节乳房发育,并可能是乳腺癌的病因之一。然而,大多数有关催乳素与乳腺癌的流行病学研究仅限于单个样本,而且通常样本较小,对效应修正的探讨有限:方法:乳腺癌风险预测生物标志物联盟包括从四项前瞻性队列研究中抽取的 8,279 名绝经后妇女,其中 3,441 人在入组后被诊断为浸润性乳腺癌。使用 ELISA 检测法测量了所有研究参与者在绝经后和乳腺癌诊断前采集的血浆样本中催乳素的浓度。在对混杂因素进行调整后,汇总的无条件逻辑回归模型估算了泌乳素与绝经后乳腺癌风险的总体相关性和按乳腺癌风险因素分层的奇数比(OR):结果:较高的血浆泌乳素浓度与绝经后乳腺癌风险呈正相关(> 13.2 纳克/毫升 vs. 13.2 纳克/毫升 vs. 13.2 纳克/毫升):泌乳素可能是绝经后乳腺癌的风险因素,尤其是在绝经后使用激素的情况下。调查泌乳素与其他激素因素的相互作用可进一步了解乳腺癌的病因。
Plasma prolactin and postmenopausal breast cancer risk: a pooled analysis of four prospective cohort studies.
Background: Prolactin, a hormone produced by the pituitary gland, regulates breast development and may contribute to breast cancer etiology. However, most epidemiologic studies of prolactin and breast cancer have been restricted to single, often small, study samples with limited exploration of effect modification.
Methods: The Biomarkers in Breast Cancer Risk Prediction consortium includes 8,279 postmenopausal women sampled from four prospective cohort studies, of whom 3,441 were diagnosed with invasive breast cancer after enrollment. Prolactin concentrations were measured for all study participants on plasma samples collected when all women were postmenopausal and before any breast cancer diagnosis using ELISA assays. Pooled, unconditional logistic regression models, adjusted for confounders, estimated odd ratios (OR) for associations of prolactin and postmenopausal breast cancer risk overall and stratified by breast cancer risk factors.
Results: Higher plasma prolactin concentrations were positively associated with postmenopausal breast cancer risk (> 13.2 ng/mL vs. < 7.9 ng/mL, OR: 1.20, 95% CI: 1.06, 1.36; P-trend < 0.001). Although associations did not appear to vary by time since blood draw or most breast cancer risk factors, associations were primarily observed in current users of postmenopausal hormones at blood draw (> 13.2 ng/mL vs. < 7.9 ng/mL, current users, OR: 1.58, 95% CI: 1.27, 1.96, P-trend < 0.001; non-current users, OR: 1.08, 95% CI: 0.93, 1.27, P-trend = 0.11; P-heterogeneity = 0.06).
Conclusion: Prolactin may be a risk factor for postmenopausal breast cancer, particularly in the context of postmenopausal hormone use. Investigations of prolactin interactions with other hormonal factors may further inform breast cancer etiology.
期刊介绍:
Breast Cancer Research, an international, peer-reviewed online journal, publishes original research, reviews, editorials, and reports. It features open-access research articles of exceptional interest across all areas of biology and medicine relevant to breast cancer. This includes normal mammary gland biology, with a special emphasis on the genetic, biochemical, and cellular basis of breast cancer. In addition to basic research, the journal covers preclinical, translational, and clinical studies with a biological basis, including Phase I and Phase II trials.