| Literature DB >> 24955246 |
Inah Kim1, Jaehyeok Ha2, June-Hee Lee1, Kye-Mook Yoo3, Jaehoon Rho4.
Abstract
Trichloroethylene (TCE) has been widely used as a degreasing agent in many manufacturing industries. Recently, the International Agency for Research on Cancer presented "sufficient evidence" for the causal relationship between TCE and kidney cancer. The aim of this study was to review the epidemiologic evidences regarding the relationship between TCE exposure and kidney cancer in Korean work environments. The results from the cohort studies were inconsistent, but according to the meta-analysis and case-control studies, an increased risk for kidney cancer was present in the exposure group and the dose-response relationship could be identified using various measures of exposure. In Korea, TCE is a commonly used chemical for cleaning or degreasing processes by various manufacturers; average exposure levels of TCE vary widely. When occupational physicians evaluate work-relatedness kidney cancers, they must consider past exposure levels, which could be very high (>100 ppm in some cases) and associated with jobs, such as plating, cleaning, or degreasing. The exposure levels at a manual job could be higher than an automated job. The peak level of TCE could also be considered an important exposure-related variable due to the possibility of carcinogenesis associated with high TCE doses. This review could be a comprehensive reference for assessing work-related TCE exposure and kidney cancer in Korea.Entities:
Keywords: Exposure; Kidney cancer; Korea; Occupation; Trichloroethylene; Work-related
Year: 2014 PMID: 24955246 PMCID: PMC4065577 DOI: 10.1186/2052-4374-26-12
Source DB: PubMed Journal: Ann Occup Environ Med ISSN: 2052-4374
Crude incidence rate (CR) and age-standardized incidence rate (ASR) of kidney cancer per 100,000 persons from 1999 to 2011 in Korea
| | ||||||
|---|---|---|---|---|---|---|
| 1999 | 3.0 | 3.1 | 4.1 | 4.7 | 1.9 | 1.7 |
| 2000 | 3.0 | 3.0 | 4.1 | 4.6 | 1.9 | 1.8 |
| 2001 | 3.5 | 3.4 | 4.7 | 5.1 | 2.2 | 2.0 |
| 2002 | 3.6 | 3.5 | 5.0 | 5.2 | 2.3 | 2.1 |
| 2003 | 3.9 | 3.6 | 5.3 | 5.4 | 2.5 | 2.2 |
| 2004 | 4.3 | 3.9 | 5.8 | 5.7 | 2.8 | 2.4 |
| 2005 | 4.9 | 4.2 | 6.6 | 6.3 | 3.1 | 2.5 |
| 2006 | 5.4 | 4.6 | 7.4 | 6.8 | 3.5 | 2.7 |
| 2007 | 6.0 | 5.0 | 8.3 | 7.4 | 3.7 | 2.9 |
| 2008 | 6.6 | 5.2 | 9.0 | 7.8 | 4.1 | 3.1 |
| 2009 | 7.0 | 5.5 | 9.4 | 7.9 | 4.5 | 3.3 |
| 2010 | 7.3 | 5.5 | 10.1 | 8.3 | 4.3 | 3.1 |
| 2011 | 8.0 | 6.2 | 10.9 | 8.6 | 5.1 | 3.6 |
| APC* | 6.2 (p<0.05) | 5.9 (p<0.05) | 6.3 (p<0.05) | |||
*APC; Annual Percentage Change, expressed as (exp(b)-1)×100, where b is the estimated slope of a linear regression from a logarithmic scaled age-standardized rates and calendar years.
Trends in kidney cancer incidence rates in Korea (per 100,000 persons)
| | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0–9 | 0.6 | 0.6 | 0.7 | 0.6 | 0.8 | 0.9 | 0.8 | 0.8 | 0.5 | 0.5 | 0.6 | 0.6 | 0.7 | 0.7 |
| 10–19 | 0.0 | 0.1 | 0.3 | 0.1 | 0.1 | 0.1 | 0.1 | 0.0 | 0.1 | 0.0 | 0.1 | 0.1 | 0.1 | 0.2 |
| 20–29 | 0.4 | 0.4 | 0.4 | 0.6 | 0.8 | 0.7 | 0.7 | 0.4 | 0.3 | 0.3 | 0.3 | 0.6 | 0.3 | 0.6 |
| 30–39 | 1.9 | 2.0 | 2.1 | 2.2 | 3.8 | 3.9 | 4.3 | 0.9 | 1.2 | 1.1 | 1.0 | 1.3 | 1.7 | 2.1 |
| 40–49 | 5.4 | 6.7 | 6.5 | 7.1 | 9.4 | 9.8 | 10.3 | 1.9 | 3.0 | 3.0 | 2.5 | 4.1 | 3.7 | 4.0 |
| 50–59 | 13.7 | 13.0 | 12.4 | 15.0 | 18.4 | 20.5 | 21.1 | 5.3 | 4.3 | 6.3 | 5.6 | 8.1 | 7.7 | 8.5 |
| 60–69 | 22.7 | 23.2 | 24.7 | 24.5 | 31.8 | 33.1 | 33.6 | 8.1 | 8.9 | 8.1 | 10.1 | 12.8 | 12.3 | 13.5 |
| ≥70 | 26.2 | 25.4 | 32.4 | 36.5 | 42.2 | 41.5 | 44.5 | 9.6 | 9.5 | 9.8 | 13.0 | 15.3 | 13.6 | 16.5 |
Exposure status according to trichloroethylene use in 2006 in Korea
| Total | 103 | 390 | 87,320 | - |
| Chemical | 3 | 19 | 4,116 | 0.97~13.26 |
| Plastics & rubber products | 1 | 35 | 6,830 | ND~42.63 |
| Primary metal | 6 | 18 | 6,787 | 2.91~37.35 |
| Fabricated metal products | 24 | 59 | 11,990 | ND~30.80 |
| Machinery | 18 | 59 | 3,950 | ND~48.48 |
| Computer & electronic products | 9 | 62 | 19,596 | 0.08~41.55 |
| Electrical equipment, appliance | 10 | 56 | 4,771 | ND~21.29 |
| Transportation equipment | 18 | 30 | 23,920 | ND~49.87 |
| Others | 14 | 52 | 5,360 | ND~39.51 |
ND; Non-detectable, concentration level was lower than the detection limit.
(Source: Cho et al. 2007) [10].
Exposure levels of trichloroethylene by Korean manufacturing industry jobs according to the regular work environment measurement (2002~2010)
| Cleaning | 8,374 | 8.953 | 2.33495 | 0.16013 | 598 |
| Degreasing | 421 | 7.780 | 2.01080 | 0.04185 | 152 |
| Assembly | 1,146 | 2.850 | 0.08975 | 0.00101 | 237 |
| Adhesion | 700 | 1.044 | 0.16850 | 0.00172 | 29 |
| Coating | 671 | 3.250 | 0.48790 | 0.01499 | 154 |
| Painting | 3,713 | 1.326 | 0.00000 | 0.00015 | 148 |
| Processing | 1,046 | 3.955 | 0.41855 | 0.01159 | 108 |
| Inspection | 890 | 2.704 | 0.59650 | 0.01061 | 94 |
| Printing | 1,519 | 1.948 | 0.17800 | 0.00518 | 65 |
| Soldering | 802 | 2.053 | 0.42860 | 0.00881 | 50 |
| Plating | 399 | 8.508 | 3.17970 | 0.25311 | 63 |
| Molding | 507 | 4.545 | 0.71700 | 0.01194 | 60 |
| Laboratory | 317 | 0.692 | 0.00000 | 0.00006 | 48 |
| Impregnation | 199 | 7.697 | 0.18200 | 0.00839 | 185 |
| Mixing | 511 | 1.807 | 0.09700 | 0.00111 | 54 |
| Heat treatment | 201 | 4.982 | 1.00000 | 0.01987 | 64 |
| Plugging | 34 | 0.565 | 0.08136 | 0.00063 | 8 |
| Infusion | 267 | 5.846 | 0.40630 | 0.01467 | 270 |
| Reaction | 138 | 0.461 | 0.00000 | 0.00005 | 6 |
| Packing | 273 | 2.128 | 0.27600 | 0.00597 | 45 |
| Cast | 124 | 2.601 | 0.04165 | 0.00060 | 43 |
| Others | 11,400 | 9.318 | 0.27935 | 0.00540 | 1,471 |
| Total | 33,652 | 6.497 | 0.40790 | 0.00840 | – |
Exposure levels of cleaning or degreasing jobs using assessment of reliability of work environment monitoring in 2006 in Korea
| Electronic components (LCD panel frame) | Press | Processing & cleaning | Solid sampler. NIOSH method 1022 | 8.258~11.995 |
| Power electric equipment (painting transformers) | Storing component & cleaning | Printing & cleaning | Solid sampler. NIOSH method 1022 | Painting and cleaning: 0.343~9.742 masking: 1.099~16.432, touch up: 0.149~2.462 |
| Measuring, optic and precision instrument | Press & cleaning | Grinding & cleaning | Solid sampler. diffusive sample | 16.99~114.41 (including manual work) |
| Television and communication equipment | Press molding & processing | Assembly & cleaning | Solid sampler. NIOSH method 1022 | 85.44 in manual (closed 1 years ago), 2.16~3.75 in automatic |
| Optic equipment and lens | Cutting | Cleaning | Solid sampler. NIOSH method 1022 | 52.90 (in indoor) |
| Parts and accessories for motor vehicle | Assembly & dipping | Bonding & cleaning | Sorbent tube | 11.57~18.52 |
| Electronic components | Press | Cleaning | Sorbent tube | 31.72~49.86 |
| Textile | Degummed and twist thread | Decontamination | Sorbent tube | 0.14~1.38 |
| Plating | 1st cleaning | 2nd cleaning | Sorbent tube | 1st cleaning: 28.59, 3.55 |
| | 2nd cleaning: 39.28, 1.81 | |||
| Metal tooling | Press | Cleaning | Solid sampler. NIOSH method 1022 | 8.75~9.22 |
| Parts and accessories for motor vehicle | Mixing & surface treatment | Degreasing | KOSHA CODE-A-1-2004 (Method No. 016) | 2.56 |
| Other electric equipment | Wring & dipping | Assembly & impregnation | KOSHA CODE-A-1-2004 (Method No. 016) | 0.03~0.05 |
| Rubber goods production | Preparation | Degreasing | KOSHA CODE-A-1-2004 (Method No. 016) | 15.49~88.84 |
| Other metal product | Press and spot welding | Cleaning | KOSHA CODE-A-1-2004 (Method No. 016) | 7.21~11.7 |
| Transport machineries and equipment | Press and spot welding | Cleaning | KOSHA CODE-A-1-2004 (Method No. 016) | 14.90~49.83 |
| Non-metallic mineral product | Melting & extrusion | Press & cleaning | KOSHA CODE-A-1-2004 (Method No. 016) | 41.32~116.62 |
Summary of risk measurement of the major cohort and case–control studies
| Moore et al. (2010)
[ | Hospitals in 4 European countries (n = 1,097), 1999–2003; hospital controls with diagnoses unrelated to smoking or genitourinary disorders (n = 1,476)/case–control | Specialized job-specific questionnaire for specific jobs or industries of interest focused on TCE with exposure assignment by frequency and confidence of TCE exposure | 1.63 (1.04–2.54) for all subjects 2.05 (1.13–3.73) for high-confidence assessments only | Duration |
| <13.5 yrs: 1.89 (0.84–4.28) | ||||
| ≥13.5 yrs: 2.25 (0.95–5.29) | ||||
| <1080 hrs: 1.22 (0.48–3.12) | ||||
| ≥1080 hrs: 2.86 (1.31–6.23) | ||||
| Cumulative | ||||
| <1.58 ppm·yr: 1.77 (0.64–4.80) | ||||
| ≥1.58 ppm·yr: 2.23 (1.07–4.64) | ||||
| Average intensity | ||||
| <0.076 ppm: 1.73 (0.75–4.02) | ||||
| ≥0.076 ppm: 2.41 (1.05–5.56) | ||||
| *reference group: non-exposed | ||||
| Chabotel et al. (2006)
[ | RCC (n = 87), from urologists’ files and area teaching hospitals, 1993–2003; urologist or general practitioner patient controls (n = 316)/case–control | Semi-quantitative cumulative TCE exposure and presence/absence of peak TCE exposure assigned to subjects using a JEM designed using information obtained from questionnaires and routine atmospheric monitoring of workshops or biological monitoring (U-TCA) of workers carried out since the 1960s. | 1.64 (0.95–2.84) for full study; 1.68 (0.97–2.91) with 10-yr lag | High cumulative level: 3.34 (1.27–8.74) |
| ppm·yrs | ||||
| 1–154: 0.85 (0.10–7.41) | ||||
| 155–335: 1.03 (0.29–3.70) | ||||
| >335: 3.34 (1.27–8.74) | ||||
| peak + cumulative level | ||||
| (-)/low-medium: 0.90 (0.27–3.01) | ||||
| (+)/low-medium: 1.34 (0.13–14.0) | ||||
| (-)/high: 2.74 (0.66–11.4) | ||||
| (+)/high: 3.80 (1.27–11.4) | ||||
| with 10-yr lag | ||||
| high: 2.16 (1.01–4.65) | ||||
| +peaks: 3.15 (1.19–8.38) | ||||
| Zhao et al. (2005)
[ | Aerospace workers with >2 yrs of employment at Rockwell/Rocketdyne’s Santa Susana Field Laboratory, 1950–1993, follow up 1950–2001 (mortality, n = 6,044), 1988–2000 (incidence, n = 5,049) /cohort | Using job titles, job codes, dates of employment related with JEM and calculated cumulative intensity scores | | mortality medium: 0.85 (0.15–4.93) & 1.69 (0.29–9.70) with 20-yrs lag |
| high: 0.96 (0.09–9.91) & 1.82 (0.09–38.6) with 20-yrs lag | ||||
| incidence medium: 1.26 (0.26–6.14) & 1.19 (0.22–6.40) with 20-yrs lag | ||||
| high: 7.71 (0.65–91.4) & 7.40 (0.47–116) | ||||
| Brüning et al. (2003)
[ | Histologically confirmed RCC (n = 134), from hospitals, 1992–2000; hospital controls (n = 401)/case–control | Self-reported exposure duration using JEM | 2.47 (1.36–4.49) | <10 yr: 3.78 (1.54–9.28) |
| 10-<20 yr: 3.78 (1.54–9.28) | ||||
| ≥20 yr: 2.69 (0.84–8.66) | ||||
| Raaschou-Nielsen et al. (2003) Denmark | Blue-collar workers employed >1,968 at 347 TCE-using companies (n = 40,049; 14,360 with presumably higher-level exposure to TCE). Follow up to 1997/cohort | duration of employment, yrs of 1st employment at a TCE-using company, number of employees in the company | 1.20 (0.94–1.50) | ≥5 years all subject: 1.6 (1.1–2.2) in |
| subcohort with expected higher exposure levels: 1.7 (1.1–2.4) | ||||
| Pesch et al. (2000)
[ | Histologically confirmed RCC from hospitals (5 regions) (n = 935), 1991–1995; controls randomly selected from residency registries (n = 4,298)/case–control | TCE and other exposures assigned by questionnaire, assessed occupational history using job title (JEM approach) | 1.24 (1.03–1.49) | substantial exposure |
| men: 1.3 (0.8–2.1) | ||||
| women: 1.8 (0.6–5.0) | ||||
| high exposure men: 1.1 (0.8–1.5) | ||||
| women: 1.8 (0.6–1.9) | ||||
| medium exposure | ||||
| men: 1.3 (1.0–1.8) | ||||
| women: 1.3 (0.7–2.6) | ||||
| Morgan et al. (1998)
[ | Aerospace workers with >6 mths during 1950–1985 at Hughes (Tucson, AZ) (n = 20,503; 4,733 with TCE exposure), follow up 1950–19/cohort | TCE exposure intensity assigned using JEM. | 1.14 (0.51–2.58) | High cumulative exposure score: 1.59 (0.68–3.71) |