Health Assessment Document for Diesel Emissions - NSCEP | US ...
Health Assessment Document for Diesel Emissions - NSCEP | US ...
Health Assessment Document for Diesel Emissions - NSCEP | US ...
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1 though specific particle surface area, a factor related to cancer potency, is increased following<br />
2 extraction.<br />
3 In summary, the use of rat data <strong>for</strong> quantitating human lung cancer risk from exposure to<br />
4 DE results in considerable uncertainty. There is some doubt concerning the validity of the rat<br />
5 model <strong>for</strong> this purpose, although proof is still lacking. The greatest uncertainty concerns low-<br />
6 dose extrapolation of lung cancer risk. In<strong>for</strong>mation to date indicates that DE induces lung cancer<br />
7 by more than one means, including particle overload-induced pathology, carcinogenic organics<br />
8 present on the particle, and oxygen free radicals. While all these methds are likely to function<br />
9 at high doses, particle effects are likely to be absent or minimal at low exposures, resulting in a<br />
1 0 high degree of uncertainty regarding the shape of the dose-response curve.<br />
11· Despite these uncertainties, rat data are still useful <strong>for</strong> comparison with other estimates,<br />
12 especially those derived using human epidemiology data. The greater risk estimates derived using<br />
13 epidemiology data, <strong>for</strong> example, suggest that even though rats are the only laboratory species in<br />
14 which lung cancer can be regularly induced by DE and other fine particulate matter, they may be.<br />
15 less sensitive than humans to nonoverload mechanisms induced by DE at low concentrations.<br />
16 Un<strong>for</strong>tunately, limitations on animal numbers do not allow testing this possibility.<br />
17<br />
18 11.3.3.3. Dose-Response Estimates Based on the Biomarker Approach<br />
19 This approach provides reasonably good estimates of lung cancer risk in spite of the fact<br />
20 that B(a)P may constitute a relatively small traction of the carcinogens present in combustion and<br />
21 pyrolysis products of coke ovens, hot pitch gas productions, etc. Risk estimates were also based<br />
22 on well-documented lung cancer rates in the occupationally exposed groups: On the other hand,<br />
23 while predictions are good <strong>for</strong> the pollutants tested, the particles present, unlike diesel particles,<br />
24 generally lack an insoluble carbon core. As noted below, adsorption to an insoluble particle core<br />
25 may influence risk estimates. Estimates of cancer risk will also vary based on B(a)P<br />
26 concentration.on the particle. The variability in B(a)P concentration among different DE sources<br />
27 and its effect on cancer potency have not been evaluated.<br />
28<br />
29 11.3.3.4. Dose-Response Estimates Based on the Comparative· Potency Approach<br />
30 In this method, the potency of diesel DPM extract is compared with other combustion or<br />
31 pyrolysis products, coke oven emissions, roofing tar, and cigarette smoke condensate <strong>for</strong> which<br />
32 epidemiology-based unit risk estimates have been developed. Comparisons are made using<br />
33 short-term tests such as skin painting, mutation, and mammalian cell trans<strong>for</strong>mation. The ratio<br />
34 ofthepotency ofDPM extracts to each of these agents is then multiplied by their unit risk<br />
35 estimates to obtain the unit risk <strong>for</strong> DE. Because no new studies have been carried out since the<br />
2/1/98 11-21 DRAFT--DO NOT CITE OR QUOTE