TY - JOUR
T1 - Spatial clusters of cancer incidence
T2 - analyzing 1940 census data linked to 1966–2017 cancer records
AU - Leiser, Claire L.
AU - Taddie, Marissa
AU - Hemmert, Rachael
AU - Richards Steed, Rebecca
AU - VanDerslice, James A.
AU - Henry, Kevin
AU - Ambrose, Jacob
AU - O’Neil, Brock
AU - Smith, Ken R.
AU - Hanson, Heidi A.
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020/7/1
Y1 - 2020/7/1
N2 - Purpose: A life course perspective to cancer incidence is important for understanding effects of the environment during early life on later cancer risk. We assessed spatial clusters of cancer incidence based on early life location defined as 1940 US Census Enumeration District (ED). Methods: A cohort of 260,585 individuals aged 0–40 years in 1940 was selected. Individuals were followed from 1940 to cancer diagnosis, death, or last residence in Utah. We geocoded ED centroids in Utah for the 1940 Census. Spatial scan statistics with purely spatial elliptic scanning window were used to identify spatial clusters of EDs with excess cancer rates across 26 cancer types, assuming a discrete Poisson model. Results: Cancer was diagnosed in 66,904 (25.67%) individuals during follow-up across 892 EDs. Average follow-up was 50.9 years. We detected 15 clusters of excess risk for bladder, breast, cervix, colon, lung, melanoma, oral, ovary, prostate, and soft tissue cancers. An urban area had dense overlap of multiple cancer types, including two EDs at increased risk for five cancer types each. Conclusions: Early environments may contribute to cancer risk later in life. Life course perspectives applied to the study of cancer incidence can provide insights for increasing understanding of cancer etiology.
AB - Purpose: A life course perspective to cancer incidence is important for understanding effects of the environment during early life on later cancer risk. We assessed spatial clusters of cancer incidence based on early life location defined as 1940 US Census Enumeration District (ED). Methods: A cohort of 260,585 individuals aged 0–40 years in 1940 was selected. Individuals were followed from 1940 to cancer diagnosis, death, or last residence in Utah. We geocoded ED centroids in Utah for the 1940 Census. Spatial scan statistics with purely spatial elliptic scanning window were used to identify spatial clusters of EDs with excess cancer rates across 26 cancer types, assuming a discrete Poisson model. Results: Cancer was diagnosed in 66,904 (25.67%) individuals during follow-up across 892 EDs. Average follow-up was 50.9 years. We detected 15 clusters of excess risk for bladder, breast, cervix, colon, lung, melanoma, oral, ovary, prostate, and soft tissue cancers. An urban area had dense overlap of multiple cancer types, including two EDs at increased risk for five cancer types each. Conclusions: Early environments may contribute to cancer risk later in life. Life course perspectives applied to the study of cancer incidence can provide insights for increasing understanding of cancer etiology.
KW - Early life exposures
KW - Environment
KW - Life course epidemiology
KW - Spatial scan statistic
UR - https://www.scopus.com/pages/publications/85084069279
U2 - 10.1007/s10552-020-01302-3
DO - 10.1007/s10552-020-01302-3
M3 - Article
C2 - 32323050
AN - SCOPUS:85084069279
SN - 0957-5243
VL - 31
SP - 609
EP - 615
JO - Cancer Causes and Control
JF - Cancer Causes and Control
IS - 7
ER -