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Dr. Thun is Vice-President, Department of Epidemiology and Surveillance Research, American Cancer Society, Atlanta, GA.
Dr. Sinks is Associate Director for Science, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA.
| ABSTRACT |
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| INTRODUCTION |
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Epidemiologists and public health workers who investigate suspected cancer clusters are more skeptical of the scientific value of cluster investigations than is the general public. They recognize the historical examples in which clustering of rare types of cancer among highly exposed occupational and medical populations has led to the recognition of human carcinogens.2,3 However, they distinguish between these situations, where the exposure is high, prolonged, and well defined, and community settings in which exposures are low and poorly defined, where the cases may involve a mix of unrelated, relatively common types of cancer, and the scientific tools available to investigate these situations rarely identify an underlying cause with confidence. More than 1,000 suspected cancer clusters are reported to state health departments each year.4–6 About three quarters of these are clearly not clusters and can be resolved by telephone if health officials respond promptly and with sensitivity to the requester using clearly defined criteria to evaluate and triage the reports.7 In approximately 5% to 15% of the reported situations, formal statistical testing confirms that the number of observed cases exceeds the number expected in the affected population, given the age, sex, number of people at risk, and the time period of observation.7 However, even in these settings, epidemiologic studies are rarely definitive, and chance remains a plausible explanation for the clustering.
The goal of this article is to provide a framework for understanding and responding to cancer clusters so that affected communities can realistically anticipate what investigations can and cannot provide. We describe the criteria that define a cancer cluster, selected historical examples of clusters that contributed to the discovery of previously unrecognized human carcinogens, the steps involved in investigating a suspected cancer cluster, and considerations that may complicate or impede such investigations in community settings.
| WHAT IS A CANCER CLUSTER? |
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Epidemiologists and public health workers who respond to concerns about clusters distinguish between perceived clusters, those that have been noticed and reported but not yet formally evaluated, and confirmed clusters, in which the case diagnoses and their connection to the community have been documented, and statistical testing indicates a very low probability that the observed clustering could occur by chance.8 The number of perceived cancer clusters reported to public health agencies is much larger than commonly appreciated. Although records are not collected routinely nationwide, 41 state health departments recorded approximately 1,900 inquiries about cancer clusters in 1996.6 Other surveys provide lower estimates, ranging from 1,300 to 1,650 reports in 19895 to 1,100 in 1997.4 Records from the Missouri Department of Health document 101 inquiries about cancer clusters received between 1984 and 1988.9 A similar number of reports were recorded by the Health Departments in Wisconsin and Minnesota during other five-year time periods.7,10 A search of US newspaper articles containing the words "cancer cluster" identified 2,006 reports filed from January 5, 1990 to January 5, 2000.8
In practice, only a small fraction of suspected cancer clusters meet statistical criteria of a confirmed cluster, in which chance is unlikely to explain the excess of observed cases over the expected amount. Of the 101 potential cancer clusters evaluated formally by the Missouri Department of Health between 1984 and 1988, only 17 had a statistically significant excess number of observed compared with expected cases.9 Only 5% of perceived clusters evaluated by the Minnesota Department of Health were statistically significant.7 In many cases, perceived clusters include different types of cancers, benign or metastatic tumors, cases that had little connection with the community, or cases that occurred over a longer time period than appreciated. Even when an investigation documents that a given clustering is "statistically significant" (meaning that there is less than a 5% chance that the observed number of cases could have occurred by chance), this does not rule out chance, given the potential for random aggregation in a country the size of the United States. The interpretation of statistical significance in the context of disease clustering is discussed further below.
| HISTORICALLY INFORMATIVE CANCER CLUSTERS |
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These examples are much less common than more recent investigations that have not identified any specific cause of the apparent clustering. There have been numerous investigations near high-tension power lines, nuclear facilities, hazardous waste dumps, neighborhoods, schools, and office buildings that have not provided new scientific information about the causes or prevention of cancer, nor have they convincingly identified a reason for apparent clustering.
| HOW ARE SUSPECTED CANCER CLUSTERS INVESTIGATED? |
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Federal agencies that provide assistance to states in investigating certain clusters include the Centers for Disease Control and Prevention (CDC) (http://www.cdc.gov/nceh/clusters/), the National Cancer Institute (NCI) (http://seer.cancer.gov), and the Environmental Protection Agency (http://www.EPA.gov). The CDC has proposed Guidelines for Investigating Clusters of Health Events (http://www.cdc.gov/mmwr/preview/mmwrhtml/00001797.htm). The National Institute for Occupational Safety (NIOSH) is the lead federal agency within the CDC for investigating occupational cancer clusters. The National Center for Environmental Health and the Agency for Toxic Substances and Disease Registry (http://atsdr1.atsdr.cdc.gov) are other agencies within the CDC that may consult with health departments and are sometimes asked to conduct field and laboratory studies of community clusters. Both the National Center for Chronic Disease Prevention and Health Promotion of the CDC and the NCI support population-based cancer registries that monitor the background incidence rate of cancers, against which suspected clusters are compared. Other sources of information are the American Cancer Society (ACS) (http://www.cancer.org), the Cancer Information Service (http://www.cis.org),18 and the Council of State and Territorial Epidemiologists (http://www.cste.org).
The initial steps in investigating perceived cancer clusters are straightforward. Health workers inquire about the number of people who have developed cancer, their age, type of cancer, dates of diagnosis, and period of residence in the community. Where appropriate, officials may obtain medical records to confirm the diagnoses and collect supplemental clinical information.19 In many instances, perceived cancer clusters are not confirmed because the cases involve different types of cancers with no known relationship to each other, health conditions other than malignancy, or diagnoses made before moving into the community. Discussions at this point may alleviate public concern by documenting the absence of a cluster. Depending on the circumstances, review of environmental monitoring data may also be indicated.
Formal statistical testing involves comparing the observed number of cases with the number expected, based on the size and age composition of the population. The expected number of cases is estimated by applying background incidence rates at various ages in the general population (from cancer registry data) to the population of interest. For the comparison to be valid, it is essential that identical criteria be used to define cases and persons at risk in the two populations. For example, only people who live in the community at the time of their diagnosis should be counted among the observed cases. Those diagnosed before or after their period of residence should not be included, because state tumor registries only capture cancers diagnosed during the period of residence. The expected number of cases increases with each year of observation. Thus, the number of cases expected in a single year should be multiplied by the number of years over which cases in the perceived cluster occurred.
Complexities of Statistical Testing
Despite the value of statistical testing, chance remains the most plausible explanation for many confirmed cancer clusters, especially those that involve common types of cancer or all cancers combined. Because of the increase in life expectancy and the strong relationship between cancer risk and aging, cancers are more common than recognized. About one of every two men and one in every three women will develop cancer over full life expectancy. Given that an estimated 1,368,000 new diagnoses and 563,700 deaths from cancer are expected in 2004,20 some spatial clustering is inevitable. For instance, a city of 100,000 people with the same age distribution as the United States can, on average, expect 473 new cases and 200 deaths from cancer each year. Even if these cases occur randomly, some clustering will occur by chance. However, the communities affected by clustering may not perceive their experience as part of a larger random pattern, but as the direct consequence of some local underlying cause. This interpretation is analogous to the Texas "sharpshooter" who first fires his shots randomly at a wall and then draws a bulls-eye around a cluster of bullet holes.21 The fact that the boundaries of a suspected cluster are defined based on when and where the cases actually occurred increases the likelihood that random variation will appear to give rise to clusters.
| WHY ARE INVESTIGATIONS OF COMMUNITY CANCER CLUSTERS DIFFICULT? |
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Another problem that complicates studies in community settings arises from inaccurate data on the population at risk in small geographic areas or demographic subgroups. Census data are less accurate for cities or counties than for states. The uncertainty is greatest for demographic subgroups of the population during the 10-year interval between national census counts. Two recent examples illustrate this problem. The first involves a report of higher cancer incidence and mortality among African Americans in Atlanta than in other areas covered by NCI registries.22 Compared with average death rates among African Americans, African American residents of Atlanta appeared to have 40%, 19%, and 16% higher mortality rates from prostate, breast, and colon cancer, respectively, during the 1990s. When updated population data were released from the 2000 census, however, the death rate from these cancers was seen to be similar in African Americans across all of the NCI registries. The higher estimates during the 1990s resulted from an underestimation of migration of African Americans into Atlanta during that period.
A second related example concerns the apparent rapid increase in breast cancer incidence in Marin County, California during the 1990s. Breast cancer incidence was reported to increase by 3.6% per year in Marin County between 1990 and 1999.23 This increase, which was confined to non-Hispanic White women aged 45 to 64 years, appeared to be six times larger than the increase in other counties in the San Francisco Bay Area. However, a reanalysis based on population data from the 2000 census, rather than projections from the 1990 census, revealed that breast cancer incidence in Marin County had not actually increased more rapidly than in adjoining counties.24 Rather, projections from the 1990 census underestimated the number of non-Hispanic White women aged 45 to 64 who moved into Marin County in the 1990s. Although breast cancer incidence is high in Marin County, as in other affluent counties, the alarming increase in incidence reported during the 1990s appears to have been an artifact of inaccurate projections of the underlying population.
Regardless of the setting of a suspected cancer cluster, investigations are also complicated by the lack of clinical or molecular tests that can determine the cause of cancer in an individual. Until such tests are developed, researchers must rely on epidemiologic studies that can identify factors associated with risk in groups of people, but not the precise cause of disease in an individual. Because of these difficulties, even extensive investigations of cancer clusters are rarely successful in determining the cause of clusters in community settings. For example, the CDC systematically investigated a series of 108 community cancer clusters reported from 29 states and five foreign countries in the years 1961 to 1982.25 In none of these did the researchers consider the cause to be well established. NIOSH investigated 61 suspected occupational cancer clusters during the period of 1978 to 1984, most of which included five or fewer cases and had no plausible occupational etiology.26 In such cases, the apparent cluster is attributed either to chance or to exposures that could not be documented using the investigative tools available at the time.
Despite the many obstacles to investigating cancer clusters in the community, some clusters may nevertheless have common etiologic factors that have not yet been identified. For instance, numerous clusters of childhood leukemia, and to a lesser extent lymphoma, are reported in the scientific literature. Leukemia clusters have been recorded in Europe since the beginning of the 20th century.27 The first extensive investigations of such clusters were conducted in Northumberland, England28 and Niles, Illinois29 in the early 1960s. Other investigations of childhood leukemia have generated scientific and media interest, such as the cluster near a nuclear power plant in Sellafield, England.30,31 An exceptionally large cluster of childhood leukemia occurred in Churchill County (Fallon), Nevada from 1997 to 2001. Eleven cases of leukemia were identified over a five-year period among children in a community of 26,000 people. Four others who had previously lived in the area but had moved away were also diagnosed with leukemia. Only one case every five years would be expected among the resident population of this age, based on average incidence rates in Nevada.32 Extensive investigation failed to identify an underlying cause for the clustering. Although most statistical analyses suggest that clusters of childhood leukemia occur somewhat more frequently than would be predicted by chance,27,33 such clustering explains only a small fraction of incident cases. Researchers have hypothesized that an as yet unidentified infectious exposure occurring at a particular stage in development may give rise to these clusters.
When is an Extensive Investigation Appropriate?
There are many more reports of suspected cancer clusters than can or should be investigated extensively. The goals of an initial evaluation are to respond to community concerns, to document the facts of what has happened (and thereby minimize the influence of rumor), and to assist the community in determining and implementing the appropriate response. While it is critical to triage reported clusters to determine which should be investigated more thoroughly, it is equally important to hear the communitys concerns and provide information about how reports of cancer clusters are evaluated and what has been learned. Approaches that can improve communication with the community are discussed below.
In some cases, further investigation of a documented cancer cluster is indicated. Increasingly, epidemiologic studies of the community are only conducted when the following conditions are met: (1) the observed number of cases of a specific type of cancer significantly exceeds the number expected; (2) either the type of cancer or age at onset is highly unusual; (3) the population at risk can be defined; and (4) prolonged exposures to known or suspected carcinogens at levels that exceed environmental limits can be documented. The demand for further investigation is greatest when new cases continue to be diagnosed. Further environmental monitoring and/or review of environmental data may be indicated in situations with an identifiable source of contamination. This may be useful to document local contamination and stimulate cleanup. However, the community should be informed in advance that environmental measurements rarely resolve controversy about the cause of the cluster and will not, by themselves, provide scientifically convincing evidence linking the cluster to environmental exposure. The decision of whether or not to conduct further investigation of a cancer cluster is, in most cases, difficult. To some it may appear negligent not to explore every possible explanation for the apparent cluster. However, the desire to "leave no stone unturned" is not in itself a sufficient reason to conduct extensive environmental monitoring or medical testing. Professional judgment about the likelihood of whether further investigation will be informative should help to guide health officials and communities confronting these difficult situations.
Following the completion of an investigation, state health departments may continue to monitor cancer occurrence in the local community and the surrounding county for three to five years.6,9,31 It is presumed that an observed "excess" of cancer cases due to chance will not continue and that the incidence rate will return to the expected range during this period. If the rate remains elevated, further studies may be performed.7,9,10
Talking with the Community
Perhaps the most important challenge for public health agencies that deal with cancer clusters is to communicate effectively with the public. This has been described as the "art of being responsibly responsive."7 State or local health departments usually take primary responsibility for this; physicians in the community can serve an essential role. Communication should begin early, before divergent points of view become highly polarized. It is often helpful to convene a public meeting to hear specific concerns and varying points of view. This provides an opportunity to explain what is known, what steps are being taken to investigate the situation, and to provide background information about suspected cancer clusters. The effectiveness of such a meeting depends on speakers who have considerable experience and credibility in medicine, public health, and cluster investigations and who are able to interact effectively with an alarmed public. Credibility is enhanced by the endorsement of respected leaders of the community with no financial stake in the outcome of an investigation. The goal is to provide a structured process within which individuals can voice their concerns and support informed community decision making.
Potential Roles for Physicians
Physicians are a respected source of information about health and disease. Their extensive interactions with patients and their families provide opportunities to reassure patients in situations that are unlikely to involve a cancer cluster, educate patients about ways to avoid cancers or identify them early, and identify settings that warrant investigation by public health agencies. Physicians may live in communities affected by a suspected cancer cluster. In such cases, an informed doctor can contribute to the public debate by providing background information about cancer and cancer clusters and by realistically describing what can or cannot be learned by exhaustive investigation of environmental exposures. Public concern about cancer clusters provides broader opportunities to educate patients and community leaders about cancer and the value of proven strategies of prevention and early detection.
| CONCLUSIONS |
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| Footnotes |
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| REFERENCES |
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N. S. Juzych, B. Resnick, R. Streeter, J. Herbstman, J. Zablotsky, M. Fox, and T. A. Burke Adequacy of State Capacity to Address Noncommunicable Disease Clusters in the Era of Environmental Public Health Tracking Am J Public Health, April 1, 2007; 97(Supplement_1): S163 - S169. [Abstract] [Full Text] [PDF] |
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