Standardized measures of lobular involution and subsequent breast cancer risk among women with benign breast disease: a nested case-control study.

作者: Jonine D. Figueroa , Ruth M. Pfeiffer , Louise A. Brinton , Maya M. Palakal , Amy C. Degnim

DOI: 10.1007/S10549-016-3908-7

关键词:

摘要: Lesser degrees of terminal duct-lobular unit (TDLU) involution predict higher breast cancer risk; however, standardized measures to quantitate levels TDLU have only recently been developed. We assessed whether three involution, with high intra/inter pathologist reproducibility in normal tissue, subsequent risk among women the Mayo benign disease (BBD) cohort. performed a masked evaluation biopsies from 99 BBD who subsequently developed (cases) after median 16.9 years and 145 age-matched controls. metrics inversely related involution: count/mm2, span (microns, which approximates acini content), category counts/TDLU (0–10; 11–20; 21–30; 31–50; >50). Associations for quartiles (or categories counts) each these were multivariable conditional logistic regression estimate odds ratios (ORs) 95 % confidence intervals (CI). In models, highest quartile compared lowest counts significantly associated diagnoses; quartile4 versus quartile1, OR = 2.44, 95 %CI 0.96–6.19, p-trend = 0.02; spans, OR = 2.83, 95 %CI = 1.13–7.06, p-trend = 0.03. Significant associations categorical also observed: 25 at risk, OR = 3.40, 1.03–11.17, p-trend = 0.032. Women spans count above further increased OR = 3.75 (95 %CI 1.40–10.00, p-trend = 0.008), below both metrics. Similar results observed combinatorial counts/TDLU, count. Standardized quantitative approximated by or visually are independently risk. Visual assessment numbers content, highly reproducible between pathologists, could help identify million diagnosed annually US.

参考文章(33)
Kimberly H. Allison, Linn A. Abraham, Donald L. Weaver, Anna N. A. Tosteson, Heidi D. Nelson, Tracy Onega, Berta M. Geller, Karla Kerlikowske, Patricia A. Carney, Laura E. Ichikawa, Diana S. M. Buist, Joann G. Elmore, Trends in breast biopsy pathology diagnoses among women undergoing mammography in the United States: a report from the Breast Cancer Surveillance Consortium. Cancer. ,vol. 121, pp. 1369- 1378 ,(2015) , 10.1002/CNCR.29199
Lynn C. Hartmann, Thomas A. Sellers, Marlene H. Frost, Wilma L. Lingle, Amy C. Degnim, Karthik Ghosh, Robert A. Vierkant, Shaun D. Maloney, V. Shane Pankratz, David W. Hillman, Vera J. Suman, Jo Johnson, Cassann Blake, Thea Tlsty, Celine M. Vachon, L. Joseph Melton, Daniel W. Visscher, Benign breast disease and the risk of breast cancer. The New England Journal of Medicine. ,vol. 353, pp. 229- 237 ,(2005) , 10.1056/NEJMOA044383
Sara W. Dyrstad, Yan Yan, Amy M. Fowler, Graham A. Colditz, Breast cancer risk associated with benign breast disease: systematic review and meta-analysis. Breast Cancer Research and Treatment. ,vol. 149, pp. 569- 575 ,(2015) , 10.1007/S10549-014-3254-6
Heather J. Baer, Laura C. Collins, James L. Connolly, Graham A. Colditz, Stuart J. Schnitt, Rulla M. Tamimi, Lobule type and subsequent breast cancer risk: results from the Nurses' Health Studies. Cancer. ,vol. 115, pp. 1404- 1411 ,(2009) , 10.1002/CNCR.24167
Megan S Rice, Rulla M Tamimi, James L Connolly, Laura C Collins, Dejun Shen, Michael N Pollak, Bernard Rosner, Susan E Hankinson, Shelley S Tworoger, Insulin-like growth factor-1, insulin-like growth factor binding protein-3 and lobule type in the Nurses' Health Study II Breast Cancer Research. ,vol. 14, pp. 1- 7 ,(2012) , 10.1186/BCR3141
Robert A. Vierkant, Lynn C. Hartmann, V. Shane Pankratz, Stephanie S. Anderson, Derek Radisky, Marlene H. Frost, Celine M. Vachon, Karthik Ghosh, Tammy J. Distad, Amy C. Degnim, Carol A. Reynolds, Lobular involution: localized phenomenon or field effect? Breast Cancer Research and Treatment. ,vol. 117, pp. 193- 196 ,(2009) , 10.1007/S10549-008-0082-6
O M Ginsburg, L J Martin, N F Boyd, Mammographic density, lobular involution, and risk of breast cancer. British Journal of Cancer. ,vol. 99, pp. 1369- 1374 ,(2008) , 10.1038/SJ.BJC.6604635
G. L. Gierach, L. A. Brinton, M. E. Sherman, Lobular Involution, Mammographic Density, and Breast Cancer Risk: Visualizing the Future? Journal of the National Cancer Institute. ,vol. 102, pp. 1685- 1687 ,(2010) , 10.1093/JNCI/DJQ433
S. Haricharan, Y. Li, STAT signaling in mammary gland differentiation, cell survival and tumorigenesis Molecular and Cellular Endocrinology. ,vol. 382, pp. 560- 569 ,(2014) , 10.1016/J.MCE.2013.03.014
Derek C. Radisky, Lynn C. Hartmann, Mammary involution and breast cancer risk: transgenic models and clinical studies. Journal of Mammary Gland Biology and Neoplasia. ,vol. 14, pp. 181- 191 ,(2009) , 10.1007/S10911-009-9123-Y