2021
DOI: 10.1016/j.chemosphere.2021.129596
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Serum concentrations of persistent organic pollutants and colorectal cancer risk: A case-cohort study within Korean National Cancer Center Community (KNCCC) cohort

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Cited by 15 publications
(14 citation statements)
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“…In the initial PubMed searches 165 articles published between 2017 and 2021 were found. After exclusion at various phases as explained above, 63 articles 19,61,64‐124 were included in the final literature sample (Figure 1).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In the initial PubMed searches 165 articles published between 2017 and 2021 were found. After exclusion at various phases as explained above, 63 articles 19,61,64‐124 were included in the final literature sample (Figure 1).…”
Section: Resultsmentioning
confidence: 99%
“…Thirty‐three of the 63 studies identified for this review assessed exposure to pesticides prospectively, prior to cancer development 19,61,64‐93 . These studies provide the strongest evidence due not only to their prospective and precise exposure assessment, but also due to large sample sizes.…”
Section: Discussionmentioning
confidence: 99%
“…In a population-based case-control study in the United States in 2005, higher chlorinated PCBs were associated with an increased risk of non-Hodgkin’s lymphoma [ 100 ]. Additionally, exposure to PCBs is also associated with the development of colorectal cancer [ 101 ], which was the second most common cause of cancer death worldwide in 2020 [ 102 ]. Overall, the risk of cancer is 20% higher in men with exposure to PCB [ 103 ].…”
Section: Health Impactmentioning
confidence: 99%
“…These key datasets include: 1) population-scale biomonitoring surveys; 2) targeted analysis of multiple analytes in hypothesis-driven studies (typically 10–100); and 3) untargeted analysis of thousands of chemicals using a high-resolution mass spectrometry instrument ( Barupal et al, 2021a ; David et al, 2021 ). They cover key high priority exposome chemicals ( Barupal et al, 2021b ) including carcinogens ( Hecht et al, 2016 ; Park et al, 2021 ), endocrine disrupters ( Kassotis et al, 2020 ) and industry chemicals ( Shearer et al, 2021 ). These core datasets support different statistical and bioinformatics analyses to reveal novel risk factors, hidden metabolic pathways, detrimental exposures and biomarkers for disease.…”
Section: Introductionmentioning
confidence: 99%