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Heterogeneity in risk of prostate cancer: A Swedish population‐based cohort study of competing risks and Type 2 diabetes mellitus

Most previous studies of prostate cancer have not taken into account that men in the studied populations are also at risk of competing event, and that these men may have different susceptibility to prostate cancer risk. The aim of our study was to investigate heterogeneity in risk of prostate cancer...

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Autores principales: Häggström, Christel, Van Hemelrijck, Mieke, Garmo, Hans, Robinson, David, Stattin, Pär, Rowley, Mark, Coolen, Anthony C.C., Holmberg, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220128/
https://www.ncbi.nlm.nih.gov/pubmed/29744858
http://dx.doi.org/10.1002/ijc.31587
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author Häggström, Christel
Van Hemelrijck, Mieke
Garmo, Hans
Robinson, David
Stattin, Pär
Rowley, Mark
Coolen, Anthony C.C.
Holmberg, Lars
author_facet Häggström, Christel
Van Hemelrijck, Mieke
Garmo, Hans
Robinson, David
Stattin, Pär
Rowley, Mark
Coolen, Anthony C.C.
Holmberg, Lars
author_sort Häggström, Christel
collection PubMed
description Most previous studies of prostate cancer have not taken into account that men in the studied populations are also at risk of competing event, and that these men may have different susceptibility to prostate cancer risk. The aim of our study was to investigate heterogeneity in risk of prostate cancer, using a recently developed latent class regression method for competing risks. We further aimed to elucidate the association between Type 2 diabetes mellitus (T2DM) and prostate cancer risk, and to compare the results with conventional methods for survival analysis. We analysed the risk of prostate cancer in 126,482 men from the comparison cohort of the Prostate Cancer Data base Sweden (PCBaSe) 3.0. During a mean follow‐up of 6 years 6,036 men were diagnosed with prostate cancer and 22,393 men died. We detected heterogeneity in risk of prostate cancer with two distinct latent classes in the study population. The smaller class included 9% of the study population in which men had a higher risk of prostate cancer and the risk was stronger associated with class membership than any of the covariates included in the study. Moreover, we found no association between T2DM and risk of prostate cancer after removal of the effect of informative censoring due to competing risks. The recently developed latent class for competing risks method could be used to provide new insights in precision medicine with the target to classify individuals regarding different susceptibility to a particular disease, reaction to a risk factor or response to treatment.
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spelling pubmed-62201282018-11-13 Heterogeneity in risk of prostate cancer: A Swedish population‐based cohort study of competing risks and Type 2 diabetes mellitus Häggström, Christel Van Hemelrijck, Mieke Garmo, Hans Robinson, David Stattin, Pär Rowley, Mark Coolen, Anthony C.C. Holmberg, Lars Int J Cancer Cancer Epidemiology Most previous studies of prostate cancer have not taken into account that men in the studied populations are also at risk of competing event, and that these men may have different susceptibility to prostate cancer risk. The aim of our study was to investigate heterogeneity in risk of prostate cancer, using a recently developed latent class regression method for competing risks. We further aimed to elucidate the association between Type 2 diabetes mellitus (T2DM) and prostate cancer risk, and to compare the results with conventional methods for survival analysis. We analysed the risk of prostate cancer in 126,482 men from the comparison cohort of the Prostate Cancer Data base Sweden (PCBaSe) 3.0. During a mean follow‐up of 6 years 6,036 men were diagnosed with prostate cancer and 22,393 men died. We detected heterogeneity in risk of prostate cancer with two distinct latent classes in the study population. The smaller class included 9% of the study population in which men had a higher risk of prostate cancer and the risk was stronger associated with class membership than any of the covariates included in the study. Moreover, we found no association between T2DM and risk of prostate cancer after removal of the effect of informative censoring due to competing risks. The recently developed latent class for competing risks method could be used to provide new insights in precision medicine with the target to classify individuals regarding different susceptibility to a particular disease, reaction to a risk factor or response to treatment. John Wiley and Sons Inc. 2018-08-10 2018-10-15 /pmc/articles/PMC6220128/ /pubmed/29744858 http://dx.doi.org/10.1002/ijc.31587 Text en © 2018 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cancer Epidemiology
Häggström, Christel
Van Hemelrijck, Mieke
Garmo, Hans
Robinson, David
Stattin, Pär
Rowley, Mark
Coolen, Anthony C.C.
Holmberg, Lars
Heterogeneity in risk of prostate cancer: A Swedish population‐based cohort study of competing risks and Type 2 diabetes mellitus
title Heterogeneity in risk of prostate cancer: A Swedish population‐based cohort study of competing risks and Type 2 diabetes mellitus
title_full Heterogeneity in risk of prostate cancer: A Swedish population‐based cohort study of competing risks and Type 2 diabetes mellitus
title_fullStr Heterogeneity in risk of prostate cancer: A Swedish population‐based cohort study of competing risks and Type 2 diabetes mellitus
title_full_unstemmed Heterogeneity in risk of prostate cancer: A Swedish population‐based cohort study of competing risks and Type 2 diabetes mellitus
title_short Heterogeneity in risk of prostate cancer: A Swedish population‐based cohort study of competing risks and Type 2 diabetes mellitus
title_sort heterogeneity in risk of prostate cancer: a swedish population‐based cohort study of competing risks and type 2 diabetes mellitus
topic Cancer Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6220128/
https://www.ncbi.nlm.nih.gov/pubmed/29744858
http://dx.doi.org/10.1002/ijc.31587
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