Title: Donald%20A.%20Pierce
1Radiation-related cancer incidence and non-cancer
mortality among A-bomb survivors
- Donald A. Pierce
- Radiation Effects Research Foundation, Hiroshima
- (retired)
These slides, other things, at
http//www.science.oregonstate.edu/piercedo/
2(No Transcript)
3- Virtually all quantitative information about
effect on humans of modest radiation exposure
comes from this study - Most other information from high-dose
radiotherapy, or low-dose exposures where dose is
much more uncertain - Due to nature of study, possible to estimate
(excess) relative risks as small as 10. (i.e.
relative risks 1.1)
4- There was negligible fallout or creation of
long-lived radioisotopes in soil, food, water,
etc. - Radiation dose was mainly that directly and
immediately emanating from the bombs - The primary limitation of the study is that it
pertains directly only to such acute radiation
exposures - Prolonged low-dose exposures may have different
(lesser) effects
5- Bombs August 1945, Joint Commission of
Occupation, October 1945 - Pres. Truman directive to National Acad. Sciences
1946, Atomic Bomb Casualty Commission (ABCC) - Motivations leukemia, cancer, acute effects,
inherited effects, others - By 1950 Depts of Genetics, OBGYN, PEDS, Internal
Med, Radiology, Pathology, Biochem/Micro,
Biometrics
6- Large-scale clinical and pathology programs
examinations and autopsies - Enormous efforts interviewing survivors within 2
km for shielding histories - More than 1500 employees at peak, now about 250
with 40 scientists - Became bi-national Radiation Effects Research
Foundation (RERF) 1975 - Americans Around 10-15 recently, with far more
at peak (largely physicians military and
jointly with Yale)
7- External advisory committee 1955 had profound
effect establishing sound epidemiological study - Fixed study cohort of around 100,000 survivors
with no later addition of cases only, etc. - Includes most survivors within 2 km that were
followable (perhaps about half) - About half of cohort unexposed (sample from 3-10
km). Comparisons are all within cohort.
8- This refers to the survivor cohort considered
in this talk - Also F1 (75,000) and In-utero (3,500) cohorts
- Virtually no demonstrable effects in the F1
cohort (birth defects, later ailments) major
finding in some respects - In-utero study shows cancer effects similar to
survivors, and also special effects such as
mental retardation and small stature
9- Individual survivor dose estimates for those
within 2 km - Based on detailed interview information regarding
location and shielding, along with elaborate
radiation transport calculations by physicists - Considerable random estimation errors, and
possibly a few more systematic ones - Most recent large-scale efforts on the dosimetry
calculations in 1998-2003
10- Possibilities richer than most epi studies, due
to size of study and small chance of confounding
(can estimate RRs of 1.1) - Largely because the dose-distance gradient was
very steep, so those with large and small doses
differ little otherwise - Also, the participation and follow-up rates were
essentially 100 - Though there is clinical follow-up, that for
results here is from death certificates and tumor
registries
11- To proceed, we need some perspective on radiation
dose Gray (about 100 roentgen) - 1 Gy to major organs causes serious illness,
although seldom fatal - A CT scan, although usually localized, is about
0.01 Gy - Occupational limits are about 0.02 Gy/yr,
although cumulatively further limited - Thus 0.10 Gy is a fairly large dose of
considerable interest
12General Summary (CA incidence)
Dose Gy MeanDistance PersonsFollowed CA Cases1958-98 Est ExcessCases
lt 0.005 3680 60,800 9,600 3
.005 0.1 1990 27,800 4,400 80
0.1 0.2 1630 5,500 970 75
0.2 0.5 1500 5,900 1,100 180
0.5 1 1280 3,170 690 210
1 2 1110 1,650 460 200
gt2 900 564 185 110
Tot excl lt .0005 row 44,584
7,805 855 Estimated
excess through 1994 was 723, so the excess in
recent years for this cohort appears to be about
35 cases/year (I would roughly estimate less than
100/year for all survivors)
13Solid Cancer Excess Sex Averaged (1.51) ERR/Gy
is factor increasing baseline rates e.g. at 0.1
Gy and age 65, rates are increased by about
5 EAR/Gy is excess absolute rate
14- I suggest it is best not think of some specific
cancer cases as caused by the radiation
exposure - Fairly well-accepted model A cancer arises when
enough somatic mutations accumulate in a stem
cell (and its descendants) - Effect of a specific radiation exposure is to
cause one (or more) of these mutations - The data strongly support such a model
15- An affected cell is a step ahead of where it
would have been --- for all of life - Effect of A-bomb radiation is essentially to
increase ones cancer age, by about 5 yrs/Gy
--- causing about as many mutations as would
otherwise occur in that time - But as life goes on, a single extra mutation
becomes a smaller portion of the somatic ones ---
thus the RR decreases with age
16- Note that variations with exposure age are far
more important on the EAR scale, than on the ERR - Surely has something to do with birth cohort
increases in most cancer rates - Although complicated, this suggests that most of
any exposure-age effect is not really a
radiation one, but reflects variation of
baseline rates with birth cohort - Same issue arises, more simply, regarding sex
effects
17This is excess RR, averaged over sex and at
attained age 70
18- Why such long follow-up, and such penetrating
analysis, is needed - Lifelong effect for cancer was (in my view) not
expected - Effect of exposure age is important, those
exposed as children are alive and entering
cancer age - Statistical methods considerably developed in
past 15 years
19- The left panel here shows the view of things
until the late 1990s (still widely held) and the
right panel shows our current understanding of
the same data - What was thought an effect of exposure age was
largely the decline in RR with attained age
20- On another issue, some would like to believe that
for small radiation doses, e.g. 0.05 Gy, there is
no cancer risk at all - But careful analysis based on the 30,000
survivors in the low-dose range shows that this
is implausible - Major statistical efforts also have clarified the
(modest) effect of random errors in dose
estimates
21- Less explicable effect on non-cancer mortality,
much smaller ERR - Seen for most of the major causes of death
- That is grounds for suspicion, but effects seem
unlikely to be due to confounding - Possible that this is only for large doses, due
to killing large proportions of marrow cells,
with permanent immunological effects
22Noncancer disease mortality dose response ERR
about 10 of that for cancer Could be no effect
for about lt 0.30 Gy
23For major disease types
24- Much attention has been given to whether this
might be some kind of confounding - Seems unlikely
- Smoking, Soc-Econ information available from
mail surveys --- adjusting for these has little
effect - There is a statistically significant effect when
restricting to 900 1200 m from bombs
25 SOME REFERENCES Preston, D.L., Shimizu, Y.,
Pierce, D.A., Suyama, A. and Mabuchi, K. (2003b).
Studies of mortality of atomic bomb survivors,
Report 13 Solid cancer and noncancer mortality
1950 1997. Radiation Research 160,
381-407. Pierce, D.A. and Vaeth, M (2003e).
Age-time patterns of cancer to be anticipated
from exposure to general mutagens. Biostatistics
4, 231-248. Pierce, D.A. (2002). Age-time
patterns of radiogenic cancer risk their nature
and likely explanations. Journal of Radiological
Protection 22, A147-A154. Pierce, D.A., Stram,
D.O., Vaeth, M., and Schafer, D.W. (1992b). The
errors-in-variables problem considerations
provided by radiation dose-response analyses of
the A-bomb survivor data. J. Amer. Statist. Assn.
87, 351-359. Pierce, D.A. and Preston, D.L.
(2000a). Radiation-related cancer risks at low
doses among atomic bomb survivors. Radiation
Research 154, 178-186. Preston, D.L. et al
(2007). Solid cancer incidence in Atomic bomb
survivors 1958 1998.