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Time dependence of biomarkers: non-proportional effects of immunohistochemical panels predicting relapse risk in early breast cancer

BACKGROUND: We investigated the impact of follow-up duration to determine whether two immunohistochemical prognostic panels, IHC4 and Mammostrat, provide information on the risk of early or late distant recurrence using the Edinburgh Breast Conservation Series and the Tamoxifen vs Exemestane Adjuvan...

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Autores principales: Stephen, J, Murray, G, Cameron, D A, Thomas, J, Kunkler, I H, Jack, W, Kerr, G R, Piper, T, Brookes, C L, Rea, D W, van de Velde, C J H, Hasenburg, A, Markopoulos, C, Dirix, L, Seynaeve, C, Bartlett, J M S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4264442/
https://www.ncbi.nlm.nih.gov/pubmed/25314051
http://dx.doi.org/10.1038/bjc.2014.530
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author Stephen, J
Murray, G
Cameron, D A
Thomas, J
Kunkler, I H
Jack, W
Kerr, G R
Piper, T
Brookes, C L
Rea, D W
van de Velde, C J H
Hasenburg, A
Markopoulos, C
Dirix, L
Seynaeve, C
Bartlett, J M S
author_facet Stephen, J
Murray, G
Cameron, D A
Thomas, J
Kunkler, I H
Jack, W
Kerr, G R
Piper, T
Brookes, C L
Rea, D W
van de Velde, C J H
Hasenburg, A
Markopoulos, C
Dirix, L
Seynaeve, C
Bartlett, J M S
author_sort Stephen, J
collection PubMed
description BACKGROUND: We investigated the impact of follow-up duration to determine whether two immunohistochemical prognostic panels, IHC4 and Mammostrat, provide information on the risk of early or late distant recurrence using the Edinburgh Breast Conservation Series and the Tamoxifen vs Exemestane Adjuvant Multinational (TEAM) trial. METHODS: The multivariable fractional polynomial time (MFPT) algorithm was used to determine which variables had possible non-proportional effects. The performance of the scores was assessed at various lengths of follow-up and Cox regression modelling was performed over the intervals of 0–5 years and >5 years. RESULTS: We observed a strong time dependence of both the IHC4 and Mammostrat scores, with their effects decreasing over time. In the first 5 years of follow-up only, the addition of both scores to clinical factors provided statistically significant information (P<0.05), with increases in R(2) between 5 and 6% and increases in D-statistic between 0.16 and 0.21. CONCLUSIONS: Our analyses confirm that the IHC4 and Mammostrat scores are strong prognostic factors for time to distant recurrence but this is restricted to the first 5 years after diagnosis. This provides evidence for their combined use to predict early recurrence events in order to select those patients who may/will benefit from adjuvant chemotherapy.
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spelling pubmed-42644422014-12-16 Time dependence of biomarkers: non-proportional effects of immunohistochemical panels predicting relapse risk in early breast cancer Stephen, J Murray, G Cameron, D A Thomas, J Kunkler, I H Jack, W Kerr, G R Piper, T Brookes, C L Rea, D W van de Velde, C J H Hasenburg, A Markopoulos, C Dirix, L Seynaeve, C Bartlett, J M S Br J Cancer Clinical Study BACKGROUND: We investigated the impact of follow-up duration to determine whether two immunohistochemical prognostic panels, IHC4 and Mammostrat, provide information on the risk of early or late distant recurrence using the Edinburgh Breast Conservation Series and the Tamoxifen vs Exemestane Adjuvant Multinational (TEAM) trial. METHODS: The multivariable fractional polynomial time (MFPT) algorithm was used to determine which variables had possible non-proportional effects. The performance of the scores was assessed at various lengths of follow-up and Cox regression modelling was performed over the intervals of 0–5 years and >5 years. RESULTS: We observed a strong time dependence of both the IHC4 and Mammostrat scores, with their effects decreasing over time. In the first 5 years of follow-up only, the addition of both scores to clinical factors provided statistically significant information (P<0.05), with increases in R(2) between 5 and 6% and increases in D-statistic between 0.16 and 0.21. CONCLUSIONS: Our analyses confirm that the IHC4 and Mammostrat scores are strong prognostic factors for time to distant recurrence but this is restricted to the first 5 years after diagnosis. This provides evidence for their combined use to predict early recurrence events in order to select those patients who may/will benefit from adjuvant chemotherapy. Nature Publishing Group 2014-12-09 2014-10-14 /pmc/articles/PMC4264442/ /pubmed/25314051 http://dx.doi.org/10.1038/bjc.2014.530 Text en Copyright © 2014 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Clinical Study
Stephen, J
Murray, G
Cameron, D A
Thomas, J
Kunkler, I H
Jack, W
Kerr, G R
Piper, T
Brookes, C L
Rea, D W
van de Velde, C J H
Hasenburg, A
Markopoulos, C
Dirix, L
Seynaeve, C
Bartlett, J M S
Time dependence of biomarkers: non-proportional effects of immunohistochemical panels predicting relapse risk in early breast cancer
title Time dependence of biomarkers: non-proportional effects of immunohistochemical panels predicting relapse risk in early breast cancer
title_full Time dependence of biomarkers: non-proportional effects of immunohistochemical panels predicting relapse risk in early breast cancer
title_fullStr Time dependence of biomarkers: non-proportional effects of immunohistochemical panels predicting relapse risk in early breast cancer
title_full_unstemmed Time dependence of biomarkers: non-proportional effects of immunohistochemical panels predicting relapse risk in early breast cancer
title_short Time dependence of biomarkers: non-proportional effects of immunohistochemical panels predicting relapse risk in early breast cancer
title_sort time dependence of biomarkers: non-proportional effects of immunohistochemical panels predicting relapse risk in early breast cancer
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4264442/
https://www.ncbi.nlm.nih.gov/pubmed/25314051
http://dx.doi.org/10.1038/bjc.2014.530
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