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

J. Stephen; G. Murray; D. A. Cameron; J. Thomas; I. H. Kunkler; W. Jack; G. R. Kerr; T. Piper; C. L. Brookes; D. W. Rea; C. J H Van De Velde; A. Hasenburg; C. Markopoulos; L. Dirix; C. Seynaeve; J. M S Bartlett

doi:10.1038/bjc.2014.530

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

J. Stephen^*, G. Murray, D. A. Cameron, J. Thomas, I. H. Kunkler, W. Jack, G. R. Kerr, T. Piper, C. L. Brookes, D. W. Rea, C. J H Van De Velde, A. Hasenburg, C. Markopoulos, L. Dirix, C. Seynaeve, J. M S Bartlett

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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Abstract

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

Original language	English
Pages (from-to)	2242-2247
Number of pages	6
Journal	British Journal of Cancer
Volume	111
Issue number	12
DOIs	https://doi.org/10.1038/bjc.2014.530
Publication status	Published - 9 Dec 2014

Keywords

biomarkers
breast cancer
relapse risk
time dependency

ASJC Scopus subject areas

Cancer Research
Oncology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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J_Stephen_et_al_Time_dependence_of_biomarkers_British_Journal_of_Cancer_2014
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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. (2014). Time dependence of biomarkers: non-proportional effects of immunohistochemical panels predicting relapse risk in early breast cancer. British Journal of Cancer, 111(12), 2242-2247. https://doi.org/10.1038/bjc.2014.530

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

abstract = "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",

keywords = "biomarkers, breast cancer, relapse risk, time dependency",

author = "J. Stephen and G. Murray and Cameron, {D. A.} and J. Thomas and Kunkler, {I. H.} and W. Jack and Kerr, {G. R.} and T. Piper and Brookes, {C. L.} and Rea, {D. W.} and {Van De Velde}, {C. J H} and A. Hasenburg and C. Markopoulos and L. Dirix and C. Seynaeve and Bartlett, {J. M S}",

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Stephen, J, Murray, G, Cameron, DA, Thomas, J, Kunkler, IH, Jack, W, Kerr, GR, Piper, T, Brookes, CL, Rea, DW, Van De Velde, CJH, Hasenburg, A, Markopoulos, C, Dirix, L, Seynaeve, C & Bartlett, JMS 2014, 'Time dependence of biomarkers: non-proportional effects of immunohistochemical panels predicting relapse risk in early breast cancer', British Journal of Cancer, vol. 111, no. 12, pp. 2242-2247. https://doi.org/10.1038/bjc.2014.530

TY - JOUR

T1 - Time dependence of biomarkers

T2 - non-proportional effects of immunohistochemical panels predicting relapse risk in early breast cancer

AU - Stephen, J.

AU - Murray, G.

AU - Cameron, D. A.

AU - Thomas, J.

AU - Kunkler, I. H.

AU - Jack, W.

AU - Kerr, G. R.

AU - Piper, T.

AU - Brookes, C. L.

AU - Rea, D. W.

AU - Van De Velde, C. J H

AU - Hasenburg, A.

AU - Markopoulos, C.

AU - Dirix, L.

AU - Seynaeve, C.

AU - Bartlett, J. M S

PY - 2014/12/9

Y1 - 2014/12/9

N2 - 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

AB - 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

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JF - British Journal of Cancer

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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