Survival and Disease-Free Survival by Breast Density and Phenotype in Interval Breast Cancers

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Autores de I3PT

Participantes ajenos a I3PT

  • Sala, M
  • Domingo, L
  • Louro, J
  • Tora-Rocamora, I
  • Ferrer, J
  • Carmona-Garcia, MC
  • Barata, T
  • Roman, M
  • Macia, F
  • Castells, X
  • CAMISS Study Grp

Abstract

Background: We aimed to evaluate survival and disease-free survival in different subtypes of interval cancers by breast density, taking into account clinical and biological characteristics. Methods: We included 374 invasive breast tumors (195 screen-detected cancers; 179 interval cancers, classified into true interval, false-negatives, occult tumors and minimal-sign cancers) diagnosed in women ages 50-69 years undergoing biennial screening from 2000-2009, followed up to 2014. Breast density was categorized into non-dense (< 25% dense tissue) and mixed dense breasts (>= 25%). Survival curves were generated by the Kaplan-Meier method and compared by the log-rank test. Cox proportional hazard regression models were computed to estimate the adjusted hazard ratios (aHRs) and 95% confidence intervals (95% CIs) for death and recurrences by comparing women with interval and true interval cancers versus women with screen-detected cancers, controlling for tumor and patient characteristics. All analyses were stratified by breast density. Results: Interval cancers were detected in younger women, at more advanced stages, in denser breasts and showed a higher proportion of triple-negative cancers, especially among true interval cancers. Women with interval cancer and non- dense breasts had an aHR for death of 3.40 (95% CI, 0.92-12.62). Women with true interval cancers detected in nondense breasts had the highest adjusted risk of death (aHR, 6.55; 95% CI, 1.37-31.39). Conclusions: Women with true interval cancer in nondense breasts had a higher risk of death than women with screen-detected cancers. Impact: These results support the advisability of routinely collecting information on breast density, both for further tailoring of screening strategies and as a prognostic factor for diagnosed breast cancers. Cancer Epidemiol Biomarkers Prev; 27(8); 908-16. (C) 2018 AACR.

Datos de la publicación

ISSN/ISSNe:
1055-9965, 1538-7755

CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION  AMER ASSOC CANCER RESEARCH

Tipo:
Article
Páginas:
908-916
PubMed:
29853482

Citas Recibidas en Web of Science: 11

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