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Occup Environ Med. 2006 January; 63(1): 1–2.
PMCID: PMC1351383
NIHMSID: NIHMS7484

Occupational exposures and non‐Hodgkin lymphoma: where do we stand?

Short abstract

Commentary on the paper by Mester et al (see page 17)

Keywords: NHL, exposure assessment, occupation

The incidence of non‐Hodgkin lymphoma (NHL) has increased markedly over the past four decades in most countries.1 The HIV epidemic contributed to this increase, beginning in the 1980s, but the remainder is largely unexplained. The remaining increase does not appear to be due to diagnostic changes and it cannot be strictly due to genetic factors because gene frequencies do not change rapidly enough to cause such large changes in rates over such a short period of time. We must, therefore, look to changes in the level and/or distribution of environmental factors to explain these rate increases. Possible environmental risk factors include occupational and environmental chemicals, microbes, diet, physical inactivity, and other lifestyle factors.

Although occupational exposures may contribute to the development of NHL, they are unlikely to explain the worldwide rise in incidence because the increase occurs among men and women and in developed and developing countries. No group of occupational exposures is likely to affect all of these populations. More widely spread exposures among the general population, such as viruses, diet, lifestyle activities, and general environmental chemicals, are more likely candidates.

Nonetheless, although occupational exposures may affect a smaller proportion of the population than general environmental exposures, studies in the workplace have played an important role in the identifying and characterising environmental carcinogens in the past and should be able to also contribute to the understanding of the rise in NHL incidence. Industrial chemicals move from contained locations at the worksite to the general environment through routine emissions, accidents, inclusion in commercial products, and storage at waste sites. Because workers often experience higher and more prolonged levels of exposure than the general population, they have long served as sentinels for chemical hazards in the general population.

The article by Mester and colleagues2 is another attempt to use the workplace to develop aetiological clues and provide leads for future studies to identify new environmental risk factors for NHL. They found elevated risks for NHL associated with several occupations (farmers, glass formers, and construction workers) and industries (food, beverage, tobacco, paper, printing, metal, and chemical). Some of these groups have been linked with NHL in other studies and are suggestive of possible hazards including pesticides, metals, particulates, engine exhausts, dyes and pigments, and solvents. Despite many leads from this and other studies, the literature on occupational exposures and risk of NHL is inconsistent. No workplace exposures have been conclusively identified as causal factors.3

If occupational and environmental chemicals make an important contribution to the aetiology of NHL, clear identification of such factors in future investigations probably requires two components. The first is investigation of risks among diagnostic subcategories of NHL, as in the Mester and colleagues2 paper. This is critical because there is growing evidence that the different subtypes of NHL have different aetiologies.3 The distribution of subtypes also varies geographically in the United States4 and probably elsewhere as well. In addition, new molecular techniques suggest that NHL may be even more varied than previously thought.5 Future investigations need to characterise subtypes as precisely as possible. This requires large numbers of cases for study. International consortia of NHL studies—that is, EPILYMPH and INTERLYMPH, can provide these numbers and are being used for this purpose.

Although large studies are necessary, the more important methodological need is in the area of exposure assessment. Accurate assessment of occupational and environmental exposures is essential, but exceedingly difficult. Characterisation of the type and level of past exposures is typically easier in the workplace, where job descriptions, production procedures, and monitoring data are often available, than in the non‐work environment. However, even in the workplace under the best of circumstances, misclassification of exposures is probably substantial. We know that a small amount of non‐differential exposure misclassification can bias risk estimates sharply towards the null,6 and that exposure misclassification generally does not fall in the “small” range. Differential misclassification can be equally damaging, but is less predictable in direction. Teschke and colleagues7 concluded that exposure assessment techniques for case‐control studies display a “disappointing performance” with regard to validity. Exposure assessment in cohort studies may be better, but considerable improvement is necessary to be able to identify small to moderate levels of risk.

Although studies like the one in this issue2 help to identify promising areas for future research and should be encouraged, we are unlikely to make major headway in the identification of new chemical risk factors for NHL unless we substantially improve the quality of occupational and environmental exposure assessments. Scientists engaged in exposure evaluation are developing some creative approaches such as using modular questionnaires to obtain detailed information on jobs, combining work histories with personal monitoring data, and obtaining biological measures of exposure, but progress is slow. Substantial intellectual and resource investment by the scientific establishment will be necessary before major improvements in exposure assessment are likely. Collaborations among chemists, industrial hygienists, bioinstrumentation engineers, biological monitoring experts, survey technicians, and chemical fate and transfer specialists will be necessary to push exposure assessment forward. Something akin to the human genome effort is probably required. Molecular epidemiology can help identify new risk factors through the study of genetically susceptible populations, evaluation of early markers of disease, and characterisation of mechanistic pathways, but these approaches also require high quality exposure assessments. Without accurate and reliable exposure assessments, we will miss important gene–exposure interactions, undervalue the contribution of environmental effects, and overestimate the effects of genes.8 Improvements in exposure assessment are necessary if we are to effectively evaluate environmental factors responsible for changing patterns of diseases like NHL.

Footnotes

Funding: this research was support by the Intramural Research Program of the NIH (National Cancer Institute)

Competing interests: none

I performed this work as part of my employment with the US government and consequently copyright cannot be assigned. The BMJ Publishing Group Ltd, however, is free to use this material on a worldwide basis and to publish it in OEM.

References

1. Hartge P, Devesa S S. Quantification of the impact of known risk factors on time trends in non‐Hodgkin's lymphoma incidence. Cancer Res 1992. 525566s–5569s.5569s [PubMed]
2. Mester B, Nieters A, Deeg E. et al Occupation and malignant lymphoma: a population based case control study in Germany. Occup Environ Med 2006. 6317–26.26 [PMC free article] [PubMed]
3. Chiu B C H, Weisenburger D D. An update of the epidemiology of non‐Hodgkin's lymphoma. Clinical Lymphoma 2003. 4161–168.168 [PubMed]
4. Morton L M, Wang S S, Devesa S S. et al Lymphoma incidence patters by WHO subtypes in the United States, 1992–2001. Blood 8 September 2005 (Epub ahead of print)
5. Staudt L M. Molecular diagnosis of hematologic cancers. N Engl J Med 2003. 3481777–1785.1785 [PubMed]
6. Checkoway H, Pearce N, Kriebel D. Research methods in occupational epidemiology. New York: Oxford University Press, 2004
7. Teschke K, Olshan A F, Daniels J L. et al Occupational exposure assessment in case‐control studies: opportunities for improvement. Occup Environ Med 2002. 59575–594.594 [PMC free article] [PubMed]
8. Vineis P. A self‐fulfilling prophecy; are we underestimating the role of the environment in gene‐environment interaction research? Int J Epidemiol 2004. 33945–946.946 [PubMed]

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