A large-cohort, longitudinal study determines pre-cancer disease routes across different cancer types
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
A large-cohort, longitudinal study determines pre-cancer disease routes across different cancer types. / Hu, Jessica X; Helleberg, Marie; Jensen, Anders B; Brunak, Søren; Lundgren, Jens.
In: Cancer Research, Vol. 79, No. 4, 2019, p. 864-872.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
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
PY - 2019
Y1 - 2019
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.
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 - Cancer Research
JF - Cancer Research
SN - 0008-5472
IS - 4
ER -
ID: 211995541