Dataset Information

Environmental pesticide exposure and non-Hodgkin lymphoma survival: a population-based study.

ABSTRACT:

Background

There is evidence indicating that pesticide exposure is a risk factor for non-Hodgkin lymphoma (NHL) development. However, the association between pesticide exposure and NHL survival is not well-established.

Methods

Using the California Cancer Registry, we identified patients with a first primary diagnosis of NHL from 2010 to 2016 and linked these patients with CalEnviroScreen 3.0 to obtain production agriculture pesticide exposure to 70 chemicals from the state-mandated Pesticide Use Reporting (PUR) by census tract from 2012 to 2014. In addition, data from PUR was integrated into a geographic information system that employs land-use data to estimate cumulative exposure to specific pesticides previously associated with NHL (glyphosate, organophosphorus, carbamate, phenoxyherbicide, and 2,4-dimethylamine salt) between 10 years prior up to 1 year after NHL diagnosis. Multivariable Cox proportional hazards regression models were used to evaluate the association between total pesticide exposure from CalEnviroScreen 3.0 and individual pesticide exposure from geographic land use data and lymphoma-specific and overall survival.

Results

Among 35,808 NHL patients identified, 44.2% were exposed to pesticide in their census tract of residence. Glyphosate, organophosphorus, carbamate, phenoxyherbicide, and 2,4-dimethylamine salt exposure was observed in 34.1%, 26.0%, 10.6%, 14.0%, and 12.8% of NHL patients, respectively. Total pesticide exposure at the time of diagnosis was not associated with lymphoma-specific or overall survival. In addition, no association was consistently found between glyphosate, organophosphorus, carbamate, phenoxyherbicide, and 2,4 dimethylamine salt exposure and lymphoma-specific or overall survival.

Conclusions

Although we found no consistent associations between agricultural pesticide exposure at the neighborhood level and worse survival, these results provide a platform for designing future studies to determine the association between pesticide and NHL.

SUBMITTER: Poh C

PROVIDER: S-EPMC9040269 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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Publications

Environmental pesticide exposure and non-Hodgkin lymphoma survival: a population-based study.

Poh Christina C McPherson John D JD Tuscano Joseph J Li Qian Q Parikh-Patel Arti A Vogel Christoph F A CFA Cockburn Myles M Keegan Theresa T

BMC medicine 20220426 1

<h4>Background</h4>There is evidence indicating that pesticide exposure is a risk factor for non-Hodgkin lymphoma (NHL) development. However, the association between pesticide exposure and NHL survival is not well-established.<h4>Methods</h4>Using the California Cancer Registry, we identified patients with a first primary diagnosis of NHL from 2010 to 2016 and linked these patients with CalEnviroScreen 3.0 to obtain production agriculture pesticide exposure to 70 chemicals from the state-mandate ...[more]

PMID: 35468782

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Project description:BackgroundGastrointestinal tract is the most common site of extranodal non-Hodgkin lymphoma (EN-NHL). Most of the published data have been on gastric NHL with limited studies on primary intestinal non-Hodgkin lymphoma (PI-NHL) considering rare incidence. We performed epidemiological and survival analysis for PI-NHL from the Surveillance, Epidemiology, and End Results (SEER) 18 database.MethodsA total of 9,143 PI-NHL cases of age ≥ 18 years were identified from the SEER 18 database for the period 2000 - 2015. Totally, 8,568 patients were included for survival analysis. Cause-specific survival (CSS) and overall survival (OS) analysis were done for PI-NHL and PI-diffuse large B-cell lymphoma (PI-DLBCL) using sex, age of onset, treatment, histology, stage, and year of diagnosis. Survival analysis was done by using Cox proportional hazard model and Kaplan-Meier plot with log-rank test.ResultsThe percentage of PI-NHL of all the intestinal cancers and EN-NHL were 1.35%, and 10.52%, respectively. The age-adjusted incidence was 0.9145/100,000 population for the study population. PI-NHL was more common among patients aged ≥ 60 years, male and non-Hispanics Whites. Majority of patients were diagnosed at stage 1 and 2 (74%), and DLBCL (44.8%) was the most common histology. Overall median survival was 111 (95% confidence interval (CI): 105 - 117) months. In OS analysis, significant increased risk of mortality was seen with T-cell NHLs vs. DLBCL (hazard ratio (HR): 2.56), patients aged ≥ 60 vs. < 60 years (HR: 2.87), stage 4 vs. stage 1 (HR: 1.93), male vs. female (HR: 1.17), with best outcome seen in patient treated with combination of chemotherapy and surgery vs. none (HR: 0.45). Similar results were seen in CSS and for PI-DLBCL as well. Significant improvement in outcomes was observed for PI-DLBCL patients receiving chemotherapy with/without surgery.ConclusionsFindings from our large, population-based study reveal PI-NHL is a rare type of intestinal malignancy with significant difference in survival based on histological and epidemiological characteristics.

Project description:ObjectivesOccupational exposures in population-based case-control studies are increasingly being assessed using decision rules that link participants' responses to occupational questionnaires to exposure estimates. We used a hierarchical process that incorporated decision rules and job-by-job expert review to assign occupational benzene exposure estimates in a US population-based case-control study of non-Hodgkin lymphoma.MethodsWe conducted a literature review to identify scenarios in which occupational benzene exposure has occurred, which we grouped into 12 categories of benzene exposure sources. For each source category, we then developed decision rules for assessing probability (ordinal scale based on the likelihood of exposure > 0.02 ppm), frequency (proportion of work time exposed), and intensity of exposure (in ppm). The rules used the participants' occupational history responses and, for a subset of jobs, responses to job- and industry-specific modules. For probability and frequency, we used a hierarchical assignment procedure that prioritized subject-specific module information when available. Next, we derived job-group medians from the module responses to assign estimates to jobs with only occupational history responses. Last, we used job-by-job expert review to assign estimates when job-group medians were not available or when the decision rules identified possible heterogeneous or rare exposure scenarios. For intensity, we developed separate estimates for each benzene source category that were based on published measurement data whenever possible. Frequency and intensity annual source-specific estimates were assigned only for those jobs assigned ≥75% probability of exposure. Annual source-specific concentrations (intensity × frequency) were summed to obtain a total annual benzene concentration for each job.ResultsOf the 8827 jobs reported by participants, 8% required expert review for one or more source categories. Overall, 287 (3.3%) jobs were assigned ≥75% probability of exposure from any benzene source category. The source categories most commonly assigned ≥75% probability of exposure were gasoline and degreasing. The median total annual benzene concentration among jobs assigned ≥75% probability was 0.11 ppm (interquartile range: 0.06-0.55). The highest source-specific median annual concentrations were observed for ink and printing (2.3 and 1.2 ppm, respectively).ConclusionsThe applied framework captures some subject-specific variability in work tasks, provides transparency to the exposure decision process, and facilitates future sensitivity analyses. The developed decision rules can be used as a starting point by other researchers to assess occupational benzene exposure in future population-based studies.

Dataset Information

Environmental pesticide exposure and non-Hodgkin lymphoma survival: a population-based study.

Background

Methods

Results

Conclusions

Publications

Environmental pesticide exposure and non-Hodgkin lymphoma survival: a population-based study.

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