The Hazards/Cancer Puzzle
There is already enough evidence that pollution causes cancer. We already have enough information on the contaminants in our air, our water, our soil, products that we use, and food that we consume to know that we must work toward eliminating the sources of our exposures to carcinogens.
But we want, and need, to know more. Turneret al., in their review article on outdoor air pollution and cancer (2020), revealed that:
“there is substantial evidence from studies of humans and experimental animals as well as mechanistic evidence to support a causal link between outdoor (ambient) air pollution, and especially particulate matter (PM) in outdoor air, with lung cancer incidence and mortality” (par 1).
“Epidemiological evidence for associations of outdoor air pollution with types of cancer other than lung cancer is more limited, although adverse associations have been reported in an increasing number of studies” (par 24).
The article describes epidemiological evidence linking outdoor air pollution with cancer incidence and mortality, and it describes biological mechanisms of air pollution-derived carcinogenesis. The authors suggest dozens of public health and public policy recommendations for interventions to reduce outdoor air pollution levels, including urban design factors, public transportation, raising public awareness, and the monitoring of local air quality indices and guidelines. The authors go on to recommend that, while we are attending to the immediate and urgent need for research on specific interventions for cancer prevention, further research on cancer incidence and survival is needed.
We still need to Connect the Dots
We – as a nation and world – are getting better at being able to identify, measure, and reduce environmental hazards (the first piece of the puzzle), and our tumor registrars and statisticians are doing a great job of accurately recording the cancers according to address at diagnosis (the last piece of the puzzle).
If residents and industries remained in the same place from birth until death, we might have a better handle on pollution-related causes of cancer. Maps would tell us: here’s the industry, these are the chemicals being emitted, and here are the people that have been diagnosed with cancer.
But the people in the White Lake area did not stay in one place. Cancer incidence statistics may have underrepresented cancers that occurred years to decades after the pollution had occurred because people had moved away.
To solve the hazards/cancer puzzle and to prevent cancers in the future, we must figure out the middle parts. How long are the latency periods between onset and diagnosis for each cancer type? How can we keep track of a person’s environmental exposures over time? Could biomonitoring provide clues?
My Takeaway
After looking at these data for a decade, here are my thoughts on options for filling in the gaps between the hazards and the cancers.
We need intelligence-oriented Electronic Health Records (EHR), programmed for ease of use so as not to overburden medical personnel with more work and designed with “Big data analytics systems.” These systems would “aggregate very large amounts of health and health care data to compare the effectiveness of treatments, identify medication and device safety problems, facilitate medical discovery, and analyze shifting patterns of patient characteristics and diseases.” (Glaser, 2020, par 33).
Patients’ EHR should include patient Residence Histories going forward (just don’t delete previous addresses when patients move) and Exposure Histories that include the following components: 1) Exposure Survey, 2) Work History, and 3) Environmental History. (Agency for Toxic Substances and Disease Registry – ATSDR). The ATSDR provides a sample Exposure History Form.
We need BioBanks, as described in the Cancer Moonshot Biobank program in which people with cancer donate blood and tissue samples during their treatment. BioBanks are also being used in longitudinal studies such as the Michigan Cancer and Research on the Environment Study (MI-CARES), in which participants from diverse racial and ethnic backgrounds who live in environmental hotspots “will be followed over time through surveys as well as blood and saliva samples to track environmental exposures and cancer biomarkers” (par 4). The former program focuses on discovering effective cancer treatments, while the latter study seeks to “describe and quantify the impact of known and suspected environmental exposures on cancer risk” (par 2). Both acknowledge biomonitoring as an essential component in our quest to prevent and treat cancer.
Intelligence-oriented EHRs that include Residence Histories and Exposure Histories, linked with a Biobank, could go a long way toward providing researchers the data they need in their work to connect the dots between exposures and cancer.
This may be costly, but what is the cost of not doing this research?