4.7 Article

Association Between Mammographic Density and Age-Related Lobular Involution of the Breast

Journal

JOURNAL OF CLINICAL ONCOLOGY
Volume 28, Issue 13, Pages 2207-2212

Publisher

AMER SOC CLINICAL ONCOLOGY
DOI: 10.1200/JCO.2009.23.4120

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Funding

  1. National Institutes of Health [SPORE P50 CA116201, R01 CA46332, R01 CA97396, K12 RR24151]
  2. Department of Defense [FEDDAMD17-02-1-0473-1]
  3. Susan G. Komen Breast Cancer Foundation [BCTR 99-3152]
  4. Breast Cancer Research Foundation
  5. Andersen Foundation

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Purpose Mammographic density and lobular involution are both significant risk factors for breast cancer, but whether these reflect the same biology is unknown. We examined the involution and density association in a large benign breast disease (BBD) cohort. Patients and Methods Women in the Mayo Clinic BBD cohort who had a mammogram within 6 months of BBD diagnosis were eligible. The proportion of normal lobules that were involuted was categorized by an expert pathologist as no (0%), partial (1% to 74%), or complete involution (>= 75%). Mammographic density was estimated as the four-category parenchymal pattern. Statistical analyses adjusted for potential confounders and evaluated modification by parity and age. We corroborated findings in a sample of women with BBD from the Mayo Mammography Health Study (MMHS) with quantitative percent density (PD) and absolute dense and nondense area estimates. Results Women in the Mayo BBD cohort (n = 2,667) with no (odds ratio, 1.7; 95% CI, 1.2 to 2.3) or partial (odds ratio, 1.3; 95% CI, 1.0 to 1.6) involution had greater odds of high density (DY pattern) than those with complete involution (P trend < .01). There was no evidence for effect modification by age or parity. Among 317 women with BBD in the MMHS study, there was an inverse association between involution and PD (mean PD, 22.4%, 21.6%, 17.2%, for no, partial, and complete, respectively; P trend = .04) and a strong positive association of involution with nondense area (P trend < .01). No association was seen between involution and dense area (P trend = .56). Conclusion We present evidence of an inverse association between involution and mammographic density.

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