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Radiation-related cancer incidence and non-cancer mortality among A-bomb survivors Donald A. Pierce Radiation Effects Research Foundation, Hiroshima – PowerPoint PPT presentation

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Title: Donald A. Pierce


1
Radiation-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

12
General 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)
13
Solid 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

17
This 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

22
Noncancer disease mortality dose response ERR
about 10 of that for cancer Could be no effect
for about lt 0.30 Gy
23
For 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.
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