A case-control study of occupation/industry and renal cell carcinoma risk

Sara Karami; Joanne S. Colt; Kendra Schwartz; Faith G. Davis; Julie J. Ruterbusch; Stella S. Munuo; Sholom Wacholder; Patricia A. Stewart; Barry I. Graubard; Nathanial Rothman; Wong Ho Chow; Mark P. Purdue

doi:10.1186/1471-2407-12-344

A case-control study of occupation/industry and renal cell carcinoma risk

Sara Karami, Joanne S. Colt, Kendra Schwartz, Faith G. Davis, Julie J. Ruterbusch, Stella S. Munuo, Sholom Wacholder, Patricia A. Stewart, Barry I. Graubard, Nathanial Rothman, Wong Ho Chow, Mark P. Purdue

Epidemiology

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

17 Scopus citations

Abstract

Background: The role of occupation in the etiology of renal cell carcinoma (RCC) is unclear. Here, we investigated associations between employment in specific occupations and industries and RCC, and its most common histologic subtype, clear cell RCC (ccRCC).Methods: Between 2002 and 2007, a population-based case-control study of Caucasians and African Americans (1,217 cases; 1,235 controls) was conducted within the Detroit and Chicago metropolitan areas to investigate risk factors for RCC. As part of this study, occupational histories were ascertained through in-person interviews. We computed odds ratios (ORs) and 95% confidence intervals (CIs) relating occupation and industry to RCC risk using adjusted unconditional logistic regression models.Results: Employment in the agricultural crop production industry for five years or more was associated with RCC (OR = 3.3 [95% CI = 1.0-11.5]) and ccRCC in particular (OR = 6.3 [95% CI = 1.7-23.3], P for trend with duration of employment = 0.0050). Similarly, RCC risk was elevated for employment of five years or longer in non-managerial agricultural and related occupations (OR_RCC = 2.1 [95% CI = 1.0-4.5]; OR_ccRCC = 3.1 [95% CI = 1.4-6.8]). Employment in the dry-cleaning industry was also associated with elevated risk (OR_RCC = 2.0 [95% CI = 0.9-4.4], P for trend = 0.093; OR_ccRCC = 3.0 [95% CI = 1.2-7.4], P for trend = 0.031). Suggestive elevated associations were observed for police/public safety workers, health care workers and technicians, and employment in the electronics, auto repair, and cleaning/janitorial services industries; protective associations were suggested for many white-collar jobs including computer science and administrative occupations as well employment in the business, legislative, and education industries.Conclusions: Our findings provide support for an elevated risk of RCC in the agricultural and dry-cleaning industries and suggest that these associations may be stronger for the ccRCC subtype. Additional studies are needed to confirm these findings.

Original language	English (US)
Article number	344
Journal	BMC cancer
Volume	12
DOIs	https://doi.org/10.1186/1471-2407-12-344
State	Published - Aug 8 2012

Keywords

Clear cell RCC
Industry
Kidney cancer
Occupation
Race
Renal cancer

ASJC Scopus subject areas

Genetics
Oncology
Cancer Research

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10.1186/1471-2407-12-344

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@article{727dacd707424b4f8db409a004196e1c,

title = "A case-control study of occupation/industry and renal cell carcinoma risk",

abstract = "Background: The role of occupation in the etiology of renal cell carcinoma (RCC) is unclear. Here, we investigated associations between employment in specific occupations and industries and RCC, and its most common histologic subtype, clear cell RCC (ccRCC).Methods: Between 2002 and 2007, a population-based case-control study of Caucasians and African Americans (1,217 cases; 1,235 controls) was conducted within the Detroit and Chicago metropolitan areas to investigate risk factors for RCC. As part of this study, occupational histories were ascertained through in-person interviews. We computed odds ratios (ORs) and 95% confidence intervals (CIs) relating occupation and industry to RCC risk using adjusted unconditional logistic regression models.Results: Employment in the agricultural crop production industry for five years or more was associated with RCC (OR = 3.3 [95% CI = 1.0-11.5]) and ccRCC in particular (OR = 6.3 [95% CI = 1.7-23.3], P for trend with duration of employment = 0.0050). Similarly, RCC risk was elevated for employment of five years or longer in non-managerial agricultural and related occupations (ORRCC = 2.1 [95% CI = 1.0-4.5]; ORccRCC = 3.1 [95% CI = 1.4-6.8]). Employment in the dry-cleaning industry was also associated with elevated risk (ORRCC = 2.0 [95% CI = 0.9-4.4], P for trend = 0.093; ORccRCC = 3.0 [95% CI = 1.2-7.4], P for trend = 0.031). Suggestive elevated associations were observed for police/public safety workers, health care workers and technicians, and employment in the electronics, auto repair, and cleaning/janitorial services industries; protective associations were suggested for many white-collar jobs including computer science and administrative occupations as well employment in the business, legislative, and education industries.Conclusions: Our findings provide support for an elevated risk of RCC in the agricultural and dry-cleaning industries and suggest that these associations may be stronger for the ccRCC subtype. Additional studies are needed to confirm these findings.",

keywords = "Clear cell RCC, Industry, Kidney cancer, Occupation, Race, Renal cancer",

author = "Sara Karami and Colt, {Joanne S.} and Kendra Schwartz and Davis, {Faith G.} and Ruterbusch, {Julie J.} and Munuo, {Stella S.} and Sholom Wacholder and Stewart, {Patricia A.} and Graubard, {Barry I.} and Nathanial Rothman and Chow, {Wong Ho} and Purdue, {Mark P.}",

note = "Funding Information: This study was supported by the Intramural Research Program of the National Institutes of Health and the National Cancer Institute with contracts NO2-CP-10128 (Westat, Inc.), N02-CP-11004 (Wayne State University), and N02-CP-11161 (University of Illinois at Chicago).",

year = "2012",

month = aug,

day = "8",

doi = "10.1186/1471-2407-12-344",

language = "English (US)",

volume = "12",

journal = "BMC cancer",

issn = "1471-2407",

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T1 - A case-control study of occupation/industry and renal cell carcinoma risk

AU - Karami, Sara

AU - Colt, Joanne S.

AU - Schwartz, Kendra

AU - Davis, Faith G.

AU - Ruterbusch, Julie J.

AU - Munuo, Stella S.

AU - Wacholder, Sholom

AU - Stewart, Patricia A.

AU - Graubard, Barry I.

AU - Rothman, Nathanial

AU - Chow, Wong Ho

AU - Purdue, Mark P.

N1 - Funding Information: This study was supported by the Intramural Research Program of the National Institutes of Health and the National Cancer Institute with contracts NO2-CP-10128 (Westat, Inc.), N02-CP-11004 (Wayne State University), and N02-CP-11161 (University of Illinois at Chicago).

PY - 2012/8/8

Y1 - 2012/8/8

N2 - Background: The role of occupation in the etiology of renal cell carcinoma (RCC) is unclear. Here, we investigated associations between employment in specific occupations and industries and RCC, and its most common histologic subtype, clear cell RCC (ccRCC).Methods: Between 2002 and 2007, a population-based case-control study of Caucasians and African Americans (1,217 cases; 1,235 controls) was conducted within the Detroit and Chicago metropolitan areas to investigate risk factors for RCC. As part of this study, occupational histories were ascertained through in-person interviews. We computed odds ratios (ORs) and 95% confidence intervals (CIs) relating occupation and industry to RCC risk using adjusted unconditional logistic regression models.Results: Employment in the agricultural crop production industry for five years or more was associated with RCC (OR = 3.3 [95% CI = 1.0-11.5]) and ccRCC in particular (OR = 6.3 [95% CI = 1.7-23.3], P for trend with duration of employment = 0.0050). Similarly, RCC risk was elevated for employment of five years or longer in non-managerial agricultural and related occupations (ORRCC = 2.1 [95% CI = 1.0-4.5]; ORccRCC = 3.1 [95% CI = 1.4-6.8]). Employment in the dry-cleaning industry was also associated with elevated risk (ORRCC = 2.0 [95% CI = 0.9-4.4], P for trend = 0.093; ORccRCC = 3.0 [95% CI = 1.2-7.4], P for trend = 0.031). Suggestive elevated associations were observed for police/public safety workers, health care workers and technicians, and employment in the electronics, auto repair, and cleaning/janitorial services industries; protective associations were suggested for many white-collar jobs including computer science and administrative occupations as well employment in the business, legislative, and education industries.Conclusions: Our findings provide support for an elevated risk of RCC in the agricultural and dry-cleaning industries and suggest that these associations may be stronger for the ccRCC subtype. Additional studies are needed to confirm these findings.

AB - Background: The role of occupation in the etiology of renal cell carcinoma (RCC) is unclear. Here, we investigated associations between employment in specific occupations and industries and RCC, and its most common histologic subtype, clear cell RCC (ccRCC).Methods: Between 2002 and 2007, a population-based case-control study of Caucasians and African Americans (1,217 cases; 1,235 controls) was conducted within the Detroit and Chicago metropolitan areas to investigate risk factors for RCC. As part of this study, occupational histories were ascertained through in-person interviews. We computed odds ratios (ORs) and 95% confidence intervals (CIs) relating occupation and industry to RCC risk using adjusted unconditional logistic regression models.Results: Employment in the agricultural crop production industry for five years or more was associated with RCC (OR = 3.3 [95% CI = 1.0-11.5]) and ccRCC in particular (OR = 6.3 [95% CI = 1.7-23.3], P for trend with duration of employment = 0.0050). Similarly, RCC risk was elevated for employment of five years or longer in non-managerial agricultural and related occupations (ORRCC = 2.1 [95% CI = 1.0-4.5]; ORccRCC = 3.1 [95% CI = 1.4-6.8]). Employment in the dry-cleaning industry was also associated with elevated risk (ORRCC = 2.0 [95% CI = 0.9-4.4], P for trend = 0.093; ORccRCC = 3.0 [95% CI = 1.2-7.4], P for trend = 0.031). Suggestive elevated associations were observed for police/public safety workers, health care workers and technicians, and employment in the electronics, auto repair, and cleaning/janitorial services industries; protective associations were suggested for many white-collar jobs including computer science and administrative occupations as well employment in the business, legislative, and education industries.Conclusions: Our findings provide support for an elevated risk of RCC in the agricultural and dry-cleaning industries and suggest that these associations may be stronger for the ccRCC subtype. Additional studies are needed to confirm these findings.

KW - Clear cell RCC

KW - Industry

KW - Kidney cancer

KW - Occupation

KW - Race

KW - Renal cancer

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A case-control study of occupation/industry and renal cell carcinoma risk

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