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Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening

BACKGROUND: Breast cancer prognosis is strongly associated with tumor size at diagnosis. We aimed to identify factors associated with diagnosis of large (> 2 cm) compared to small tumors, and to examine implications for long-term prognosis. METHODS: We examined 2012 women with invasive breast can...

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Autores principales: Strand, Fredrik, Humphreys, Keith, Holm, Johanna, Eriksson, Mikael, Törnberg, Sven, Hall, Per, Azavedo, Edward, Czene, Kamila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907386/
https://www.ncbi.nlm.nih.gov/pubmed/29669579
http://dx.doi.org/10.1186/s13058-018-0962-6
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author Strand, Fredrik
Humphreys, Keith
Holm, Johanna
Eriksson, Mikael
Törnberg, Sven
Hall, Per
Azavedo, Edward
Czene, Kamila
author_facet Strand, Fredrik
Humphreys, Keith
Holm, Johanna
Eriksson, Mikael
Törnberg, Sven
Hall, Per
Azavedo, Edward
Czene, Kamila
author_sort Strand, Fredrik
collection PubMed
description BACKGROUND: Breast cancer prognosis is strongly associated with tumor size at diagnosis. We aimed to identify factors associated with diagnosis of large (> 2 cm) compared to small tumors, and to examine implications for long-term prognosis. METHODS: We examined 2012 women with invasive breast cancer, of whom 1466 had screen-detected and 546 interval cancers that were incident between 2001 and 2008 in a population-based screening cohort, and followed them to 31 December 2015. Body mass index (BMI) was ascertained after diagnosis at the time of study enrollment during 2009. PD was measured based on the contralateral mammogram within 3 years before diagnosis. We used multiple logistic regression modeling to examine the association between tumor size and body mass index (BMI), mammographic percent density (PD), or hormonal and genetic risk factors. Associations between the identified risk factors and, in turn, the outcomes of local recurrence, distant metastases, and death (153 events in total) in women with breast cancer were examined using Cox regression. Analyses were carried out according to mode of detection. RESULTS: BMI and PD were the only factors associated with tumor size at diagnosis. For BMI (≥25 vs. < 25 kg/m(2)), the multiple adjusted odds ratios (OR) were 1.37 (95% CI 1.02–1.83) and 2.12 (95% CI 1.41–3.18), for screen-detected and interval cancers, respectively. For PD (≥20 vs. < 20%), the corresponding ORs were 1.72 (95% CI 1.29–2.30) and 0.60 (95% CI 0.40–0.90). Among women with interval cancers, those with high BMI had worse prognosis than women with low BMI (hazard ratio 1.70; 95% CI 1.04–2.77), but PD was not associated with the hazard rate. Among screen-detected cancers, neither BMI nor PD was associated with the hazard rate. CONCLUSIONS: In conclusion, high BMI was associated with the risk of having a tumor larger than 2 cm at diagnosis. Among women with interval cancer, high BMI was associated with worse prognosis. We believe that women with high BMI should be especially encouraged to attend screening. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-018-0962-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-59073862018-04-30 Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening Strand, Fredrik Humphreys, Keith Holm, Johanna Eriksson, Mikael Törnberg, Sven Hall, Per Azavedo, Edward Czene, Kamila Breast Cancer Res Research Article BACKGROUND: Breast cancer prognosis is strongly associated with tumor size at diagnosis. We aimed to identify factors associated with diagnosis of large (> 2 cm) compared to small tumors, and to examine implications for long-term prognosis. METHODS: We examined 2012 women with invasive breast cancer, of whom 1466 had screen-detected and 546 interval cancers that were incident between 2001 and 2008 in a population-based screening cohort, and followed them to 31 December 2015. Body mass index (BMI) was ascertained after diagnosis at the time of study enrollment during 2009. PD was measured based on the contralateral mammogram within 3 years before diagnosis. We used multiple logistic regression modeling to examine the association between tumor size and body mass index (BMI), mammographic percent density (PD), or hormonal and genetic risk factors. Associations between the identified risk factors and, in turn, the outcomes of local recurrence, distant metastases, and death (153 events in total) in women with breast cancer were examined using Cox regression. Analyses were carried out according to mode of detection. RESULTS: BMI and PD were the only factors associated with tumor size at diagnosis. For BMI (≥25 vs. < 25 kg/m(2)), the multiple adjusted odds ratios (OR) were 1.37 (95% CI 1.02–1.83) and 2.12 (95% CI 1.41–3.18), for screen-detected and interval cancers, respectively. For PD (≥20 vs. < 20%), the corresponding ORs were 1.72 (95% CI 1.29–2.30) and 0.60 (95% CI 0.40–0.90). Among women with interval cancers, those with high BMI had worse prognosis than women with low BMI (hazard ratio 1.70; 95% CI 1.04–2.77), but PD was not associated with the hazard rate. Among screen-detected cancers, neither BMI nor PD was associated with the hazard rate. CONCLUSIONS: In conclusion, high BMI was associated with the risk of having a tumor larger than 2 cm at diagnosis. Among women with interval cancer, high BMI was associated with worse prognosis. We believe that women with high BMI should be especially encouraged to attend screening. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13058-018-0962-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-18 2018 /pmc/articles/PMC5907386/ /pubmed/29669579 http://dx.doi.org/10.1186/s13058-018-0962-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Strand, Fredrik
Humphreys, Keith
Holm, Johanna
Eriksson, Mikael
Törnberg, Sven
Hall, Per
Azavedo, Edward
Czene, Kamila
Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening
title Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening
title_full Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening
title_fullStr Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening
title_full_unstemmed Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening
title_short Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening
title_sort long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5907386/
https://www.ncbi.nlm.nih.gov/pubmed/29669579
http://dx.doi.org/10.1186/s13058-018-0962-6
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