Digital histologic analysis reveals morphometric patterns of age-related involution in breast epithelium and stroma

Human Pathology

Volumn 48, Issue , 2016, Pages 60-68

  Sandhu, Rupninder ^a   Chollet Hinton, Lynn ^b   Kirk, Erin L ^b   Midkiff, Bentley ^c   Troester, Melissa A ^a,b,c  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b IL   (United States)

^c UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

Age related involution; Breast epithelium; Breast tissue; Histologic analysis; Morphometry; Stroma

Indexed keywords

ADIPOSE TISSUE; ADULT; AGING; ARTICLE; BREAST CANCER; BREAST EPITHELIUM; BREAST STROMA; CANCER RISK; CONTROLLED STUDY; HISTOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; MORPHOMETRICS; QUANTITATIVE ANALYSIS; STROMA; AGED; BREAST; COMPUTER ASSISTED DIAGNOSIS; EPITHELIUM; FEMALE; MIDDLE AGED; PATHOLOGY; STROMA CELL;

ADULT; AGED; AGING; BREAST; EPITHELIUM; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MIDDLE AGED; STROMAL CELLS;

EID: 84954204059     PISSN: 00468177     EISSN: 15328392     Source Type: Journal    
DOI: 10.1016/j.humpath.2015.09.031     Document Type: Article

References (35)

1. J.D. Figueroa, R.M. Pfeiffer, D.A. Patel, and et al. Terminal duct lobular unit involution of the normal breast: implications for breast cancer etiology J Natl Cancer Inst 106 2014 1 11
2. K. Ghosh, C.M. Vachon, V.S. Pankratz, and et al. Independent association of lobular involution and mammographic breast density with breast cancer risk J Natl Cancer Inst 102 2010 1716 1723
3. D.E. Henson, and R.E. Tarone Involution and the etiology of breast cancer Cancer 74 1994 424 429
4. X. Sun, G.L. Gierach, R. Sandhu, and et al. Relationship of mammographic density and gene expression: analysis of normal breast tissue surrounding breast cancer Clin Cancer Res 19 2013 4972 4982
5. X. Sun, R. Sandhu, J.D. Figueroa, G.L. Gierach, M.E. Sherman, and M.A. Troester Benign breast tissue composition in breast cancer patients: association with risk factors, clinical variables, and gene expression Cancer Epidemiol Biomarkers Prev 23 2014 2810 2818
6. S. Jindal, D. Gao, P. Bell, and et al. Postpartum breast involution reveals regression of secretory lobules mediated by tissue-remodeling Breast Cancer Res 16 2014 R31
7. P. Casbas-Hernandez, X. Sun, E. Roman-Perez, and et al. Tumor intrinsic subtype is reflected in cancer-adjacent tissue Cancer Epidemiol Biomarkers Prev 24 2015 406 414
8. J. Lee, D. Koh, and C.N. Ong Statistical evaluation of agreement between two methods for measuring a quantitative variable Comput Biol Med 19 1989 61 70
9. T.R. Milanese, L.C. Hartmann, T.A. Sellers, and et al. Age-related lobular involution and risk of breast cancer J Natl Cancer Inst 98 2006 1600 1607
10. O.M. Ginsburg, L.J. Martin, and N.F. Boyd Mammographic density, lobular involution, and risk of breast cancer Br J Cancer 99 2008 1369 1374
11. J.N. McGinley, and H.J. Thompson Quantitative assessment of mammary gland density in rodents using digital image analysis Biol Proced Online 13 2011 4
12. V. King, J. Kaplan, M.C. Pike, and et al. Impact of tamoxifen on amount of fibroglandular tissue, background parenchymal enhancement, and cysts on breast magnetic resonance imaging Breast J 18 2012 527 534
13. M.C. Pike, and C.L. Pearce Mammographic density, MRI background parenchymal enhancement and breast cancer risk Ann Oncol 24 Suppl. 8 2013 viii37 viii41
14. G.A. Tarulli, D. De Silva, V. Ho, and et al. Hormone-sensing cells require Wip1 for paracrine stimulation in normal and premalignant mammary epithelium Breast Cancer Res 15 2013 R10
15. D.B. Vaught, J.C. Stanford, C. Young, and et al. HER3 is required for HER2-induced preneoplastic changes to the breast epithelium and tumor formation Cancer Res 72 2012 2672 2682
16. T. Vargo-Gogola, and J.M. Rosen Modelling breast cancer: one size does not fit all Nat Rev Cancer 7 2007 659 672
17. E.A. Kohn, Y.A. Yang, Z. Du, and et al. Biological responses to TGF-beta in the mammary epithelium show a complex dependency on Smad3 gene dosage with important implications for tumor progression Mol Cancer Res 10 2012 1389 1399
18. D.M. Gertig, I.E. Stillman, C. Byrne, and et al. Association of age and reproductive factors with benign breast tissue composition Cancer Epidemiol Biomarkers Prev 8 1999 873 879
19. N. Boyd, L. Martin, S. Chavez, and et al. Breast-tissue composition and other risk factors for breast cancer in young women: a cross-sectional study Lancet Oncol 10 2009 569 580
20. N.F. Boyd, G.A. Lockwood, L.J. Martin, J.W. Byng, M.J. Yaffe, and D.L. Tritchler Mammographic density as a marker of susceptibility to breast cancer: a hypothesis IARC Sci Publ 154 2001 163 169
21. V.A. McCormack, and I. dos Santos Silva Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis Cancer Epidemiol Biomarkers Prev 15 2006 1159 1169
22. M.C. Pike, M.D. Krailo, B.E. Henderson, J.T. Casagrande, and D.G. Hoel "Hormonal" risk factors, "breast tissue age" and the age-incidence of breast cancer Nature 303 1983 767 770
23. J.R. Pirone, M. D'Arcy, D.A. Stewart, and et al. Age-associated gene expression in normal breast tissue mirrors qualitative age-at-incidence patterns for breast cancer Cancer Epidemiol Biomarkers Prev 21 2012 1735 1744
24. A. Krtolica, S. Parrinello, S. Lockett, P.Y. Desprez, and J. Campisi Senescent fibroblasts promote epithelial cell growth and tumorigenesis: a link between cancer and aging Proc Natl Acad Sci U S A 98 2001 12072 12077
25. T. Li, L. Sun, N. Miller, and et al. The association of measured breast tissue characteristics with mammographic density and other risk factors for breast cancer Cancer Epidemiol Biomarkers Prev 14 2005 343 349
26. N.F. Boyd, L.J. Martin, M. Bronskill, M.J. Yaffe, N. Duric, and S. Minkin Breast tissue composition and susceptibility to breast cancer J Natl Cancer Inst 102 2010 1224 1237
27. C.M. Vachon, V.S. Pankratz, C.G. Scott, and et al. Longitudinal trends in mammographic percent density and breast cancer risk Cancer Epidemiol Biomarkers Prev 16 2007 921 928
28. N. Boyd, L. Martin, J. Stone, L. Little, S. Minkin, and M. Yaffe A longitudinal study of the effects of menopause on mammographic features Cancer Epidemiol Biomarkers Prev 11 2002 1048 1053
29. L.J. Martin, and N.F. Boyd Mammographic density. Potential mechanisms of breast cancer risk associated with mammographic density: hypotheses based on epidemiological evidence Breast Cancer Res 10 2008 201
30. B.A. Vorderstrasse, S.E. Fenton, A.A. Bohn, J.A. Cundiff, and B.P. Lawrence A novel effect of dioxin: exposure during pregnancy severely impairs mammary gland differentiation Toxicol Sci 78 2004 248 257
31. C.E. Reed, and S.E. Fenton Exposure to diethylstilbestrol during sensitive life stages: a legacy of heritable health effects Birth Defects Res C Embryo Today 99 2013 134 146
32. A.C. Degnim, D.W. Visscher, T.L. Hoskin, and et al. Histologic findings in normal breast tissues: comparison to reduction mammaplasty and benign breast disease tissues Breast Cancer Res Treat 133 2012 169 177
33. N.F. Boyd, L.J. Martin, Q. Li, and et al. Mammographic density as a surrogate marker for the effects of hormone therapy on risk of breast cancer Cancer Epidemiol Biomarkers Prev 15 2006 961 966
34. X.R. Yang, J.D. Figueroa, R.T. Falk, and et al. Analysis of terminal duct lobular unit involution in luminal A and basal breast cancers Breast Cancer Res 14 2012 R64
35. K. Ghosh, K.R. Brandt, C. Reynolds, and et al. Tissue composition of mammographically dense and non-dense breast tissue Breast Cancer Res Treat 131 2012 267 275