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A large-cohort, longitudinal study determines pre-cancer disease routes across different cancer types

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@article{47a7d9beb7b9424e8fef5705c52a0495,
title = "A large-cohort, longitudinal study determines pre-cancer disease routes across different cancer types",
abstract = "Although many diseases are associated with cancer, the full spectrum of temporal disease correlations across cancer types has not yet been characterized. A population-wide study of longitudinal disease trajectories is needed to interrogate the general medical histories of cancer patients. Here we performed a retrospective study covering a 20-year period, using 6.9 million patients from the Danish National Patient Registry linked to 0.7 million cancer patients from the Danish Cancer Registry. Statistical analysis identified all significant disease associations occurring prior to cancer diagnoses. These associations were used to build frequently occurring, longitudinal disease trajectories. Across 17 cancer types, a total of 648 significant diagnoses correlated directly with a cancer, while 168 diagnosis trajectories of time-ordered steps were identified for seven cancer types. The most common diseases across cancer types involved cardiovascular, obesity, and genitourinary diseases. A comprehensive, publicly available web tool of interactive illustrations for all cancer disease associations is provided. By exploring the pre-cancer landscape using this large dataset, we identify disease associations that can be used to derive mechanistic hypotheses for future cancer research.",
author = "Hu, {Jessica X} and Marie Helleberg and Jensen, {Anders B} and S{\o}ren Brunak and Jens Lundgren",
note = "{\textcopyright}2018 American Association for Cancer Research.",
year = "2019",
month = feb,
day = "15",
doi = "10.1158/0008-5472.CAN-18-1677",
language = "English",
volume = "79",
pages = "864--872",
journal = "Journal of Cancer Research",
issn = "0008-5472",
publisher = "American Association for Cancer Research (A A C R)",
number = "4",

}

RIS

TY - JOUR

T1 - A large-cohort, longitudinal study determines pre-cancer disease routes across different cancer types

AU - Hu, Jessica X

AU - Helleberg, Marie

AU - Jensen, Anders B

AU - Brunak, Søren

AU - Lundgren, Jens

N1 - ©2018 American Association for Cancer Research.

PY - 2019/2/15

Y1 - 2019/2/15

N2 - Although many diseases are associated with cancer, the full spectrum of temporal disease correlations across cancer types has not yet been characterized. A population-wide study of longitudinal disease trajectories is needed to interrogate the general medical histories of cancer patients. Here we performed a retrospective study covering a 20-year period, using 6.9 million patients from the Danish National Patient Registry linked to 0.7 million cancer patients from the Danish Cancer Registry. Statistical analysis identified all significant disease associations occurring prior to cancer diagnoses. These associations were used to build frequently occurring, longitudinal disease trajectories. Across 17 cancer types, a total of 648 significant diagnoses correlated directly with a cancer, while 168 diagnosis trajectories of time-ordered steps were identified for seven cancer types. The most common diseases across cancer types involved cardiovascular, obesity, and genitourinary diseases. A comprehensive, publicly available web tool of interactive illustrations for all cancer disease associations is provided. By exploring the pre-cancer landscape using this large dataset, we identify disease associations that can be used to derive mechanistic hypotheses for future cancer research.

AB - Although many diseases are associated with cancer, the full spectrum of temporal disease correlations across cancer types has not yet been characterized. A population-wide study of longitudinal disease trajectories is needed to interrogate the general medical histories of cancer patients. Here we performed a retrospective study covering a 20-year period, using 6.9 million patients from the Danish National Patient Registry linked to 0.7 million cancer patients from the Danish Cancer Registry. Statistical analysis identified all significant disease associations occurring prior to cancer diagnoses. These associations were used to build frequently occurring, longitudinal disease trajectories. Across 17 cancer types, a total of 648 significant diagnoses correlated directly with a cancer, while 168 diagnosis trajectories of time-ordered steps were identified for seven cancer types. The most common diseases across cancer types involved cardiovascular, obesity, and genitourinary diseases. A comprehensive, publicly available web tool of interactive illustrations for all cancer disease associations is provided. By exploring the pre-cancer landscape using this large dataset, we identify disease associations that can be used to derive mechanistic hypotheses for future cancer research.

UR - http://www.scopus.com/inward/record.url?scp=85061584924&partnerID=8YFLogxK

U2 - 10.1158/0008-5472.CAN-18-1677

DO - 10.1158/0008-5472.CAN-18-1677

M3 - Journal article

C2 - 30591553

VL - 79

SP - 864

EP - 872

JO - Journal of Cancer Research

JF - Journal of Cancer Research

SN - 0008-5472

IS - 4

ER -

ID: 56392918