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dc.contributor.authorDomingo, Laia
dc.contributor.authorSalas, Dolores
dc.contributor.authorZubizarreta, Raquel
dc.contributor.authorBaré, Marisa
dc.contributor.authorSarriugarte, Garbiñe
dc.contributor.authorBarata, Teresa
dc.contributor.authorIbáñez, Josefa
dc.contributor.authorBlanch, Jordi
dc.contributor.authorPuig-Vives, Montserrat
dc.contributor.authorFernández, Ana Belén
dc.contributor.authorCastells, Xavier
dc.contributor.authorSala i Serra, Maria
dc.contributor.authorInterval Cancer Study Group
dc.date.accessioned2015-06-04T10:48:00Z
dc.date.available2015-06-04T10:48:00Z
dc.date.issued2014
dc.identifier.issn1465-5411
dc.identifier.urihttp://hdl.handle.net/10459.1/48307
dc.description.abstractIntroduction: 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: <25%; 25 to 50%; 50 to 75%; >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 (<25%) than in denser breasts (28.7%, 21.4%, 11.3% and 14.3%, respectively; <0.001). False-negatives and occult tumors had similar phenotypic characteristics to screening-detected cancers, extreme breast density being strongly associated with occult tumors (OR = 6.23 (95% CI:2.65-14.66)). Minimal-sign cancers were biologically close to true interval cancers but showed no association with breast density. Conclusions: Our findings revealed that both the distribution of tumor phenotype and breast density play specific and independent roles in each category of interval cancer. Further research is needed to understand the biological basis of the overrepresentation of triple-negative phenotype among predominantly fatty breasts in true interval cancers.ca_ES
dc.language.isoengca_ES
dc.publisherBioMed Centralca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1186/bcr3595ca_ES
dc.relation.ispartofBreast Cancer Research, 2014, vol. 16, núm. 3, p. 1-11ca_ES
dc.rightscc-by, (c) Domingo et al., 2014ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.titleTumor phenotype and breast density in distinct categories of interval cancer: results of population-based mammography screening in Spainca_ES
dc.typearticleca_ES
dc.identifier.idgrec022417
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.1186/bcr3595


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