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Tumor phenotype and breast density in distinct categories of interval cancer: Results of population-based mammography screening in Spain
- Source :
- Breast Cancer Research, 2014, vol. 16, art.núm R3, Articles publicats (D-CM), DUGiDocs – Universitat de Girona, instname, Repositorio Abierto de la UdL, Universitad de Lleida, Breast Cancer Research : BCR, Recercat. Dipósit de la Recerca de Catalunya, BREAST CANCER RESEARCH, r-FISABIO: Repositorio Institucional de Producción Científica, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
- Publication Year :
- 2014
- Publisher :
- Elsevier, 2014.
-
Abstract
- Introduction: Interval cancers are tumors arising after a negative screening episode and before the next screening invitation. They can be classified into true interval cancers, false-negatives, minimal-sign cancers, and occult tumors based on mammographic findings in screening and diagnostic mammograms. This study aimed to describe tumor-related characteristics and the association of breast density and tumor phenotype within four interval cancer categories. Methods: We included 2,245 invasive tumors (1,297 screening-detected and 948 interval cancers) diagnosed from 2000 to 2009 among 645,764 women aged 45 to 69 who underwent biennial screening in Spain. Interval cancers were classified by a semi-informed retrospective review into true interval cancers (n = 455), false-negatives (n = 224), minimal-sign (n = 166), and occult tumors (n = 103). Breast density was evaluated using Boyd’s scale and was conflated into: 75%. Tumor-related information was obtained from cancer registries and clinical records. Tumor phenotype was defined as follows: luminal A: ER+/HER2- or PR+/HER2-; luminal B: ER +/HER2+ or PR+/HER2+; HER2: ER-/PR-/HER2+; triple-negative: ER-/PR-/HER2-. The association of tumor phenotype and breast density was assessed using a multinomial logistic regression model. Adjusted odds ratios (OR) and 95% confidence intervals (95% CI) were calculated. All statistical tests were two-sided. Results: Forty-eight percent of interval cancers were true interval cancers and 23.6% false-negatives. True interval cancers were associated with HER2 and triple-negative phenotypes (OR = 1.91 (95% CI:1.22-2.96), OR = 2.07 (95% CI:1.42-3.01), respectively) and extremely dense breasts (>75%) (OR = 1.67 (95% CI:1.08-2.56)). However, among true interval cancers a higher proportion of triple-negative tumors was observed in predominantly fatty breasts (
- Subjects :
- Oncology
medicine.medical_specialty
Receptor, ErbB-2
Breast Neoplasms
Triple Negative Breast Neoplasms
Breast cancer
Surgical oncology
Internal medicine
medicine
Humans
Mass Screening
Mammography
Breast
Breast -- Cancer
Mammary Glands, Human
skin and connective tissue diseases
False Negative Reactions
Early Detection of Cancer
Mass screening
Aged
Breast Density
Retrospective Studies
Medicine(all)
medicine.diagnostic_test
business.industry
Case-control study
Cancer
Odds ratio
Middle Aged
medicine.disease
Confidence interval
Receptors, Estrogen
Spain
Case-Control Studies
Mama -- Càncer
Female
Receptors, Progesterone
business
Research Article
Subjects
Details
- ISSN :
- 1465542X
- Database :
- OpenAIRE
- Journal :
- Breast Cancer Research, 2014, vol. 16, art.núm R3, Articles publicats (D-CM), DUGiDocs – Universitat de Girona, instname, Repositorio Abierto de la UdL, Universitad de Lleida, Breast Cancer Research : BCR, Recercat. Dipósit de la Recerca de Catalunya, BREAST CANCER RESEARCH, r-FISABIO: Repositorio Institucional de Producción Científica, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
- Accession number :
- edsair.doi.dedup.....60b9d01d3e73e7dc9bad2c9daafdba25