Literature DB >> 27683209

The association between mammographic calcifications and breast cancer prognostic factors in a population-based registry cohort.

Sarah J Nyante1,2,3, Sheila S Lee1, Thad S Benefield1, Tiffany N Hoots1, Louise M Henderson1,2,3.   

Abstract

BACKGROUND: Mammographic calcifications can be a marker of malignancy, but their association with prognosis is less well established. In the current study, the authors examined the relationship between calcifications and breast cancer prognostic factors in the population-based Carolina Mammography Registry.
METHODS: The current study included 8472 invasive breast cancers diagnosed in the Carolina Mammography Registry between 1996 and 2011 for which information regarding calcifications occurring within 2 years of diagnosis was reported. Calcification-specific Breast Imaging Reporting and Data System (BI-RADS) assessments were reported prospectively by a radiologist. Tumor characteristic data were obtained from the North Carolina Central Cancer Registry and/or pathology reports. Multivariable-adjusted associations between the presence of calcifications in the breast affected by cancer and tumor characteristics were estimated using logistic regression. Statistical tests were 2-sided.
RESULTS: The presence of calcifications was found to be positively associated with tumors that were high grade (vs low grade: odds ratio [OR], 1.43; 95% confidence interval [95% CI], 1.10-1.88) or had an in situ component (vs without: OR, 2.15; 95% CI, 1.81-2.55). Calcifications were found to be inversely associated with hormone receptor-negative status (vs positive status: OR, 0.73; 95% CI, 0.57-0.93), size >35 mm (vs ≤8 mm: OR, 0.47; 95% CI, 0.37-0.61), and lobular tumors (vs ductal: OR, 0.39; 95% CI, 0.22-0.69). The association between the presence of calcifications and an in situ component was limited to BI-RADS category 4 and 5 calcifications and was absent for BI-RADS category 2 or 3 calcifications (P for heterogeneity <.01). The association with tumor size was found to be strongest for BI-RADS categories 3 and 4 (P for heterogeneity <.01).
CONCLUSIONS: Calcifications were found to be associated with both unfavorable (high grade) and favorable (small size, hormone receptor positivity) prognostic factors. Detailed analysis of the biological features of calcifications is necessary to understand the mechanisms driving these associations. Cancer 2017;123:219-227.
© 2016 American Cancer Society. © 2016 American Cancer Society.

Entities:  

Keywords:  breast cancer; disease attributes; mammography; physiologic calcification; prognostic factors

Mesh:

Year:  2016        PMID: 27683209      PMCID: PMC5287030          DOI: 10.1002/cncr.30281

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  29 in total

1.  BI-RADS lexicon for US and mammography: interobserver variability and positive predictive value.

Authors:  Elizabeth Lazarus; Martha B Mainiero; Barbara Schepps; Susan L Koelliker; Linda S Livingston
Journal:  Radiology       Date:  2006-03-28       Impact factor: 11.105

2.  Breast calcifications: mammographic evaluation.

Authors:  E A Sickles
Journal:  Radiology       Date:  1986-08       Impact factor: 11.105

3.  Correlation between mammographic and sonographic findings and prognostic factors in patients with node-negative invasive breast cancer.

Authors:  H J Shin; H H Kim; M O Huh; M J Kim; A Yi; H Kim; B H Son; S H Ahn
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4.  Is mammographic spiculation an independent, good prognostic factor in screening-detected invasive breast cancer?

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5.  A novel method for prediction of long-term outcome of women with T1a, T1b, and 10-14 mm invasive breast cancers: a prospective study.

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6.  Grade of ductal carcinoma in situ accompanying infiltrating ductal carcinoma as an independent prognostic factor.

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7.  The breast imaging reporting and data system: positive predictive value of mammographic features and final assessment categories.

Authors:  L Liberman; A F Abramson; F B Squires; J R Glassman; E A Morris; D D Dershaw
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8.  Positive predictive value of specific mammographic findings according to reader and patient variables.

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Authors:  Madiha Naseem; Joshua Murray; John F Hilton; Jason Karamchandani; Derek Muradali; Hala Faragalla; Chanele Polenz; Dolly Han; David C Bell; Christine Brezden-Masley
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Authors:  David P Rose; Peter J Gracheck; Linda Vona-Davis
Journal:  Cancers (Basel)       Date:  2015-10-26       Impact factor: 6.639

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Journal:  Cancer Genomics Proteomics       Date:  2017 Sep-Oct       Impact factor: 4.069

2.  Expression of HDAC1 and RBBP4 correlate with clinicopathologic characteristics and prognosis in breast cancer.

Authors:  Qingqun Guo; Kai Cheng; Xiaohong Wang; Xiaoqiang Li; Yue Yu; Yitong Hua; Zhenlin Yang
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Review 3.  Calcifications at Digital Breast Tomosynthesis: Imaging Features and Biopsy Techniques.

Authors:  Joao V Horvat; Delia M Keating; Halio Rodrigues-Duarte; Elizabeth A Morris; Victoria L Mango
Journal:  Radiographics       Date:  2019-01-25       Impact factor: 5.333

Review 4.  Multiple Pathways for Pathological Calcification in the Human Body.

Authors:  Netta Vidavsky; Jennie A M R Kunitake; Lara A Estroff
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5.  RE: Is There a Correlation between the Presence of a Spiculated Mass on Mammogram and Luminal A Subtype Breast Cancer?

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6.  Diagnostic value of PD-1 mRNA expression combined with breast ultrasound in breast cancer patients.

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7.  Deposition of calcium in an in vitro model of human breast tumour calcification reveals functional role for ALP activity, altered expression of osteogenic genes and dysregulation of the TRPM7 ion channel.

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8.  Mammographic casting-type calcification is an independent prognostic factor in invasive breast cancer.

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Journal:  J Pers Med       Date:  2021-07-10

Review 10.  Breast microcalcifications: Past, present and future (Review).

Authors:  Angela F Logullo; Karla C K Prigenzi; Cristiane C B A Nimir; Andreia F V Franco; Mario S D A Campos
Journal:  Mol Clin Oncol       Date:  2022-02-10
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