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Environmental Tobacco Smoke and Lung Cancer
hpproaches to risk, assessment
F.N.LEE, H,A. (Oxon)
Independent Consul~ant in Statistics and Epidemiology
17 Cedar Road
Sutton, Surrey, SH2
England
Based on epldemiologlcal date relating marriage Co a smoker to risk
o£ lung cancer, the US Environmental Protection Agency recently concluded
that ETS exposure results in approximately 3,000 lung cancer deaths
annually among US nonsmokers. Such .an estimate is over two orders of
magnitude greater than estimates derived by linear extrapolation from
data on lung cancer risk in smokers,
exposure in smokers and nonsmokers.
linear extrapolation as a technique,
and relative particulate matter
This disparity does not undermine
though there must be doubts both
about its appropriateness and its accuracy. The disparity reflects more
the unscientific nature of the EPA's estimate and their misinterpretation
of the ep~demiological reports relating lung cancer risk to ETS exposure.
When one takes into account the lack of relationship of lung cancer risk
in never smokers to workplace or to childhood ETS exposure,
the
inconsistency of the evidence on histological type of lung cancer, the
serious weaknesses in design evident in some studies, and the
possibilities of bias due to confounding by other risk factors,
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~isclass~ca~ion o~ ac~ s~o~ng s~atus, m~sd~a~nosis of lun~ cancer,
and the failure co publish negative studies, iC is clear chat ETS
exposure has noc been shown to cause lun~ cancer.
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Since the publication in 1981 of reports from Japan ill and
Greece [2] of an increased risk of lung cancer in lifelong
nonsmokers assoclaced with to marriage to a smoker, there has been
increasing concern that exposure to environmental tobacco smoke
(ETS) may cause lung cancer. A number of authorities [3-8] have
concluded that i~ does, the most recent, by the US Environmental
Protection Agency (EPA) estimating ETS is "responsible for
approximately 3,000 lung cancer deaths annually in U.S. nonsmokers".
In this paper I discuss various approaches to the risk assessment of
ETS and demonstrate that differing
result in such great variation in
that EPA's figure of 3,060 (2,000
and plausible assumptions can
the estimated number of deaths
in never smokers and 1.060 in
fo~mer smokers) has no valid scientific basis. Indeed I show that
there is ac~ually no certainty that an~ lung cancer deaths arise as
a result of ETS exposure.
There are, at least, four basic methods by which one mlghc
attempt to carry out risk assessment of ETS.
Cisarette ecu[valent a~oach. In this approach, considered in
secClon 2, risk of lung cancer in active smokers is assumed Co be
adequately quantiEiedby epidemiological s~ud£es, and risk of lung
cancer in relation co ETS exposure is estimated by extrapolation,
based on the equivalent number of c~gare=tes to which nonsmokers are
exposed.
BATCo document for Mayo Clinic 27 March 2002

Dose of carcinogen aoDroach.
3,800 constituents, over
IARC as sh0wln8 sufficie~t
cases only in animals (5).
Cigarette smoke contains more than
40 of which have been classified by the
evidence of carcinogenicity, in some
~n theory one might use data on exposure
levels to each carcinogen to estimate risk in humans. ~h£s approach
has nevec been used for three =easons. Firstly, for many
carcinogens, the chemical data relate only to mainstream smoke (MS)
and one is not able to quantify levels resulting from typical ETS
exposure. Secondly, the observed increased risk of lung cancer in
smokers has never been satisfactorily explained by the presence of
known amounts of carcinogens in MS, which gives little reason for
hope that this approach could adequately quantify risk of lung
cancer in relation to ETS exposure. Thirdly, it fails to take into
account the possibility of interactions between different chemicals,
both sy~erglscic and antagonistic.
6oimalextraoolat~on approach. Were there good toxicological data
demonstrating chat exposure of animals ~o ETS by inhalation resulted
in an increased risk of lung cance~ then one could use standard
approaches to estimate risk to humans. However, such data do not
exist, so this approach cannot be pursued.
~vldem~olo~ical approach. The final approach, considered in section
3, is to apply available ep£demlologlcal data relating lung cancer
r~sk to ETS exposure to a defined popula'tion. It is this approach
that was used by the EPA to estimate their figure of 3,060 lung
cancer deaths per year in the US.
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"2.
C~a~tte e~ui~a~ent an~roach
~e~ore attemp~£ng to quan~i~y ~he extent o~ risk o£ ~ung cance~
~rom ETS by a cigarette equivalent approach, £c is important ~irsc
Co consider whether such an approach can actually conclusively
demonstrate the existence of a~rrisk. In section ~ of their repor~
the EPA [8] conclude that ETS can be categorized as a group A
(human) carcinogen even in the absence of direct epidemiological
data on ETS. They concluded thac the ep£demiologlcal evidence on
active smoking and lung
level of exposure, the
composl~lon of mainstream
cancer, wi=h no evidence of a =hreshold
"qualitatively similar" nature of the
smoke and ETS, and the evidence of
detectable uptake of tobacco smoke consc£tuents in nonsmokers, taken
together, are sufflclenC for ETS to be ciasslfied as g~oup A.
considering this concl~slon a number of points should be made:
(1) If it were true, it could have been made many years ago.
1979, for example,
available on active
nonsmokers had some
there was already extensive evideuce
clgareCte smoking and it was clear that
exposure to tobacco smoke constituents,
even if a= a much lower level than smokers. And yet,. the US
Surgeon-General, in a ~l page chapter on "Involuntary
smoking" in an extensive report on Smoking and Health [9],
gave no consideration a~ all to the posslb£1£ty chat ETS might
cause lung cancer.
Other reports [e.g. 10] which considered Chat ETS exposure did
cause lung cancer, based their conclusion mainly on the
epldemiological evidence on ETS and lung cancer, and merely
~sed evidence of ~he type considered by EPA in their section 4
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co support their argument. Puc the ocher way round, the
evidence in section & is normally considered by the
aur/%o~ities as indicating an effect is plausibl~, not that it
definitely exists.
Ic is true that the epidemiological evidence on active smoking
does not demonstrate the existence of a threshold dose.
Typically 19], the major studies repor~ an increased risk in
the lowest grouping of cigarettes/day smoked, which is
certainly sua=istically significant when =he data are
considered as a whole. However, the lowest grouping usually
(iv)
has a consumpt~o~ of 1-5 or 5-I0 cigarettes per day, and the
evidence nei=her establishes nor excludes the existence of a
threshold a~ much lower levels of exposure. There is no good
evidence =ha= one cigarette a day increases risk, let alone
that O.1, O.Ol or O.001 cigarettes a day does.
Epldemiologis=s often stare that there is no safe dose of a
carcinogen, a view contrary co =he views of many
toxicologists, ~rought up on the views of Paracelsus. Others
at this conference will- distinguish between situations in
which thresholds are or are not likely to apply. I will merely
observe three points. Firstly, one needs to know the mechanism
involved 5efore one can predict whether a threshold is likely
~o exis= or not a~d in the case of ~obacco-associated
cancer we do not k'now the mechanism. Secondly, it canno~ be
assumed that the presence of known mu=agens (genotoxins) in
ETS points to there being no ~hreshold in relation co cancer
risk. Th~s is clear in relation to formaldehyde, which is
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(v)
mutagenic, but causes nasal cancer by a nonogenotoxic
mechanism with a very clear threshold [II]. Thirdly, it was
clear that the US Surgeon-General did not accept the
"no-threshold", "one molecule causes cancer" theory, grom
statements in his 1979 report [9], vlz. "The efEect oE
chronic exposure to very low levels of this carcinogen
(benzo[a]pyrene) has not been established" and "It is also not
established that n£trosamlnes can act as carcinogens at these
levels delivered by inhalation".
There are a number of major differences between active smoking
and exposure to ETS [12]. In contras¢ =o smokers, ETS exposed
nousmokers breathe in
suggest that aged ETS
inhaled by the smoker.
aged tobacco smoke. In vitro tests
is less cytotoxlc than fresh HS, as
ETS particles are of smaller mean size
(0.l-0.2 pg) than MS particles (0.2-0.4 ~g), and differences
in inhalation patterns between smokers and nonsmokers lead to
a much lower rate of particle deposition in the lungs in the
case of ETS exposure (11%) as compared to that for smokers
(50-90%). Also, the intact clearing mechanism of the
respiratory tract of nonsmokers removes particles more
ef~ectlvely than does that of smokers, which may be damaged
by smoking.
Taking all these points into account, it is clear than one must
have strong reservations about the validity of the EPA's argument in
chapter 4. Indeed it is interesting to note that Dr Morton Lippma~n,
the Chairman of th~ EPA's own ScienElfic Advisory Board, made it
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clear at the open meetlnE in ~ashington discussing the final draft.
that the argument was not a valid one and should noc be used. It £s
aural7 a matter of serious concern that the EPA chose to ignore the
~fews of its own scientific advisers.
It is clear chat any attempt at risk estimation using the
cigarette equivalent approach must be speculative, and subject to a
number of unverifiable assumptions. However, although this is
probably true for most, if not all, risk assessments, it is still of
interest to see wha~ risk this approach produces.
Apart from the problems cited above, there are two particular
difficulties in conducting the risk estimation. The first lies in
the form of dose response relationship co assume, even assumln~
there is no threshold dose. Some of the epidemiolo~ical data on
active smokin~ and lung cancer suggests a reasonable fit to a linear
relationship between risk and number of oiEarettes per day [9].
However others ~13] have suggested that inclusion of a quadratic
term provides a hatter fit, rendering linear extrapolation likely to
somewhat overestimate risk at lower doses. On the other side of the
coin, exposure to ETS may have occurred since birth, whereas the
smoking habit is rot normally 6aken up until age 15 or so. Although
there is evidence [14] that prolonging the period of exposure co ETS
has little effect on the risk, ignorin~ duration might lead to some
underestimation of risk. Ta~ing these'counterbalancing points in
co~binatlon suEgests that linear extrapolation might not be an
inappropriat~ procedure. Repace I15] has suggested a
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dose-relationship in which risk at low dose levels is much higher
than that predic=ed by linear extrapola=ion. However, his model
totally failed to fit observed data in the active smoking range and
is therefore implausible |16].
The other major problem in risk estimation using the cigarette
equivalent approach is to know which tobacco smoke constituent to
use when computing the cigarette equivalent for ETS exposure.
mumber of authors have made it clear that the dose ratio for active
smoking to ETS exposure depends dramatically on the constituent
considered. Based on results of experimental studies in which
healthy male volunteers were exposed to smoking (20 cigs/day) or to
ETS exposure (8 hours/day), Scherer and his colleagues [12~
estimated ratios of uptake doses for smoking as compared with ETS
exposure. For particulate phase components, exposure from smoking
was much higher than that from ETS, with ratios estimated as
1250-3000 for particles, 70-150 for benzo[a]pyrene, 110-1500 for
cadmium, and 2300-4500 for tobacco-specific nitrosamines. For
nicotine, particle-bound in MS and a gas-phase constituent in ETS,
the ratio was estimated to be 75-90. For gaseous phase componen=s
exposure was only slightly gr%ater from smoking than from ETS,
ra~ios being estimated as 2.7-4.2 for CO, 4-5 for formaldehyde,
1.5-2.5 for volatile nitrosamines, and 3-5 for benzene. The authors
point out that the concentrations of the most frequently used ETS
markers that were found in their study, were I0 times higher than
those found in everyday environments where real-life exposure to ETS
may occur.
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rhe rationale behind ~be a~emp~s in many countries to
encourage a switch ~rom high-tar to low-tar cigarettes is based on
the presumption tha~ ~he tumorigenic effec~ of tobacco smoke is
mainly a~ribu~able to the particle phase [5]. It would rherefore
seem most appropriate ~o use particulate matter as the constituent
~or estimation of cigarette equivalents. Arundel and his collea~ues
[17| carried out a de~ailed estimation of never smoker ~un~ cancer
risks from exposure to particulate tobacco smoke. They calculated
than, in the US, curren~ smokers have a dai~y retained exposure of
310 mg for men and 249 mg ~or women. In contras¢ the average never
smoker was estimated to have a daily retained exposure o£ 0.07 mg
for men and 0.03 mE for women, equivalent ~o an average of about
1/200~h of a cigarette per day. They further esulma~ed, based on
linear extrapolation from lung cancer risks £n smokers, thac i~ ~he
US in 1980 there would be a uoCal of 12 lung cancer deaths among
n~ver smokers from exposure Co particulate ETS: 8 in men and ~ in
women. This is much lower ~ban ~he EPA estimate of~_Q~ lung cancer
deachs amon~ never smokers from ETS, 500 in men and 1,500 £n women.
(N.B. Arundel et all [17] did not estimate deaths among former
smokers, so comparison wi~h the EPA estimate of 1,060 deaths is not
possible.)
The above estimates indicate that in males never smokers retain
abou~ 0.02~ of the amount of particulate tobacco smoke retained by
current smokers. For females ~he figure is 0.01%o A number of
researchers have used cotinlne, a major metabolize of nicotine, as
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am arker of relative tobacco smoke exposure. In a large s=udy I
conducted In 1985 £n the UK (18), I found that the corresponding
ranios were about I0 times higher, 0.27% in males and 0.13% in
females. Had cotinlne been used as the index of exposure In Arundel
e._~tal's ealcula=ions, ~hls suggests that about 160 lung cancer
deaths would have been predicted,
lower =ban the EPA estimates.
estlma=es based on eotinlne are valid. In
nicotine itself is not deemed =o be a oarcinogen.
still a full order of magnitude
I~ is doubtful, however, that
the first place,
Secondly, even if
coClnine is used only as an index of smoke uptake, it suffers from
=he major problem that while cotinine is a marker of the lung's
parnicula~e exposure in active smokers, £U is a marker Of ETS gas
phase exposure in nonsmokers. Comparison of cotinine levels in body
fluids of smokers and nonsmokers is therefore misleading.
BATCo document for Mayo Clinic 27 March 2002

3o
~p.l.demiolo~ical approach
There are by now 33 published epidemiological studies oE lung
cancer for ehlch results relating to ETa exposure have been
separately presented for lifelong never smokers. I have recently
prepared an up-to-date assessment of the data from these s~udies
[19], drawing partly on an earlier book [20| in which I examined 28
of =hess studies in detail. The 33 studies I considered included
all those 30 conside=ed by EPA, with the addition of recently
published scudles by Brownson [21] and Stockwell [22}, and a study
by Kabat [23] for which results were only presented at a conference.
[~ £s convenient first =o describe how =he EPA conducted their
risk assessment to reach their estimate of 3,060 lung cancer deaths
attributable ~o ETS. The main steps taken, described in full in
sections 5 and 6 of their report, can be summarized as fo~lows:
(1) Estimate. for never smoking womdn, the relatlve risk of lung
cancer associated with marriage to a smoker (or in some studies
with living w~th a smoker) in each study.
(2) Adjusu the relative risk estimates downward to account for bias
caused by a proporWion of current and former smokers
misrepresenting themselves as ne~er smokers, coupled w[~h the
tendency for smokers preferentially to marry smokers.
(3) Demonstrate, by comb£ni~E adjusted ~ela~ive risk estimates from
the relevant studies, that uhere are stauis~£cally s~gnlflcant
increases in risk ~ relation to ~arriage to/llvlng with a
smoker in the II US studies, in the 5 Japanese studies, in the
~ Hong Kong studies, and in the "2 Greek studies, though nou in
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the 4 West European s~udies or in the & Chinese studies, and
that the overall evidence indicates an associa~ion.
Demonstrate that there is a stronger association of lung cancer
risk with marriage ~o a heavy smoker (or with marriage to a
smoker for a long time) than with marriage to an average
smoker.
(5) Consider various potential confounding factors (history of lung
(6)
(7)
disease, family history of lung disease, heat sources £or
cooking or heating, cooking with oil, occupation, dietary
factors) and couclude that none explains the association
between lung cancer and ET$ exposure.
Classify studies into four "tiers" by a quality assessment, and
show ~ha~ the associations generally remain statistically
si~nlflcant if attention is restricted to studies considered to
be of a better quality.
Use the information in (1) to (6) to determine that there is a
causal relationship, i.e. that a hazard has been identified.
Use an estimate of Z - 1.75 for the relative eotinine level of
never smokers married to a smoker and never smokers married to
a nonsmoker ~o adJus~ US relative risk estimates to a
non-exposed baseline. Thus, relative to a never smoking woman
unexposed ~o ET$ ~he risk of a never smoking woman married to a
nonsmoker is 1.34 and ~he risk oE a never smoking woman married
to a smoker is 1.59. (N.B. the ratio of risks 1.59/1.3& - 1.19
is the relative risk estimate from the I~ US studies, and
ratio of excess risks 0.59/0.3& - I.~5 is the Z-factor
assumed).
BATCo document for Mayo Clinic 27 March 2002

(9) rake an estimate og 9.26, from the A~erican Cancer Society
Cancer ~revention Study, for the risk of current and former
smokers relative to never smokers, and convert it to an
estimate (of 13.8) relative to never smokers unexposed to ETS.
(I0) Use estimates of the total number of lung cancer deaths in US
women in 1985, and estimates of the relative frequency of never
smokers married to nonsmokers, never smokers married to
smokers, and ever smokers, in conjunction with the relative
risks of 1.3&, 1.59 and 13.8 to calculate that there are 6,970
lung cancer dsaths among never smokers, of which &70 are from
ET$ exposure from the spouse and 1,030 from other, non-spousal,
sources of ETa exposure.
(il) Assume estimates of the ~ncreased lung cancer risk in never
smokers in relation to spousal and non-spousal ETS exposure for
women apply equally to men, and calculate that there are 80
deaths from ETS exposure from the spouse and &20 from
non-spousal ETS exposure.
(12) Assume estimates of the increased lun~ cancer risk in never
smokers "in relation to KT$ exposure for women apply to former
smokers of both sexes who have ~Iven up five or more years a~o,
leading to an estimated, f~rther 160 female and i50 male deaths
from spousal ETS exposure and 270 female and aS0 male deaths
from non-spousal ETS exposure.
(13) Sum the numbers for men (I,130) and women (I,930) for never
(2,000) and former (1,060) smokers; or for spousal (860) and
non-spousal (2,200) exposure, ¢o give a total of 3,060
deaths
due to ETS, rounded to 3,000.
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In my recent review of the evidence I concluded that the
overall evidence from the 33 studies indicated a statistically
significant relationship between lun~ cancer risk in never smoking
women and marriage to (or living with) a smoker. Of 33 relative risk
estimates, unadjusted for covarlates or misclasslflcation of smoking
status, 25 were greater than unity (p<O.Ol) and a "fixed effects"
meta-analysls [24] gave an overall relative risk estimate of 1.17
(95% confidence interval (CI) 1.08-1.27). This estimate was only
marginally changed (to 1.14, 95% CI 1.05-1.23) if one used. where
available, relative risk estimates adjusted for covariates, or if
one used "random effects" mete-analysis (to 1.21, 95% GI
1.09-1.36). "Fixed effects" mete-analysis only takes wlthin-study
variability into account, but "random effects" meta-analysls also
considers between-study variability.
An association could also be seen separately in studies in the
USA, Europe and Asia, estimates (based on unadjusted relative risks
and "fixed effects" meta-analysls) being respectively 1.13 (95% CI
1.00-1.28), 1.&O (95% GI 1.06-1.85), and 1.17 (95% Cl ~.05-1,32).
21 studies provided data on risk in relation to exten~ or
duration of smokin~ by the husband (or cohabitant). Comparing risk
in the most heavily exposed group with that in the overall exposed
group, the former had a higher risk in 16 studies and a lower risk
in only 4, a significant (p<O.05) departure from chance
expectation. Overall the most heavily exposed group had 1.16 times
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the risk o£ the overall exposed group, which suggests ~hat the most
heavily exposed group had 1.35 (- 1.16 x 1.17) times the risk of the
women not married to a s~oker.
So far my conclusions were broadly in llne with those of the
EPA summarized in points (3) and (~) above. However further
exam£natlon of the data revealed a very large number of flaws in the
EPA's argument which totally overturned their conclusions. These
flaws are summarized below:
~sllure to consider
evaluating whether an
vital to eonsLder all
Although,
published,
the spouse,
of risk in
w~rkplace ..and...childhood.....eXposure.
When
association with ETS e~posure exists, it
is
indices of exposure wi~h adequate
data.
in 1986, when a number of the major reviews [3-5] were
there was ~ worthwhile amount of data only on smoking by
this is certainly not true now. There are I~ estimates
never smokers in relation to workplace ETS exposure,
which, when combined, provide no evidence at all o£ an association
with .lung cancer (RR -- 1.02, 95t CI 0.93-1.12). Similarly there are
14 estimates in relation to childhood ETS exposure from the parents,
and again there is no evidence of an association (ER - 0.9&, 95% CI
0.84-I.05). There seem ~o be no strong reasons to believe that
smoking by the spouse is a much better marker of ETS exposure than
is smoking in the workplace o~smoklng by the parent in childhood
[19]. ~t is therefore grossly biassed to do what the EPA did,
namely to conceal from the reader the results for these two
BATCo document for Mayo Clinic 27 March 2002

alternative indices which show no association at all with lung
cancer, and to concentrate solely on the single index, marriage to a
smoker, which does sho~ an association.
F~ure to consider histoloKig¢l type of. lun~ .. cancer. The
association of lung cancer with active smoking is much stronger for
squamous cell cancer than for adenocarcinoma. If, as E~A assume, ETS
is merely a reduced dose of active smoking, one would expect to see
effects, if any, for squamous-cell cancer. In fact the evidence
regarding histological type of lung cancer is conflicting. There are
four studies where the data on spousal smoking seem more consistent
with a relationship with squamous (or small cell) carcinoma, four
studies where the data seem more consistent with'a relationship with
adeno (or large ceil) carcinoma, one study which found a
relationship with both types, and five studies which found no
relationship with either t~e. A major weakness of the EPA report is
that it makes no attempt co compare and contrast results for the two
major t~pes of lung cancer. Consistency is a criterion that EPA cite
for testing causality, but which they do not apply in this context.
Failure to take i~¢? account properly the posslb~itv of
confoundln~. There are three fundamental £1aws in the EPA's
argument, First, they only consider confounding relevant if a single
risk factor can be shown to explain the whole association between
lung cancer and spousal smoking. This is clearly not sensible. More
than one risk factor might confound. Second, when ~rylng to
determine whecher a factor actually elevates lung cancer risk EP~
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restrlcu attentlen vlrqua~ly completely to evidence from" the
ETS/lung cancer studies themselves, ignoring abundant relevant data
from other sources. Third,- they ignore the growing evidence |19,25]
that ETS exposure is associated with exposure to dietary and other
risk factors, and fall to reach the appropriate conclusion that a
nonsmoker married to (or living with) a smoker is generally more
exposed to other risk factors than is a nonsmoker with no smoker in
the household. In a study I conducted recently with my colleagues
Allson Thornton and John Fry [25], I identified 33 llfestyle "risk
factors", i.e. factors generally perceived to be associated with
adverse health consequences, not
cancer risk. Of the 33 factors,
(p<O.001) Increase~ prevalence in
necessarily with increased lung
27 showed a highly significantly
smokers of 20+ cigarettes a day
compared to never smokers, and only 2 a decreased prevalence. 14
of these factors were also significantly (p<0.Ol) increased in never
smokers with a smoker in the household, and non____~ewere significantly
decreased. The factors included low fresh fruit and vegetable
consumptions high fried food consumption, working in an occupation
with a possible cancer risk, low social class, poor eduction, and
high alcohol consumption, all factors linked to an increased lung
cancer risk. Clearly the question is not whether confounding exists,
but what magnitude of bias it causes. Analyses presented elsewhere
[19,25] suggest that confounding could explain a material part of
the reported association of lung cancer with spousal smoking. It
should be noted that the extent to whic~ confounding variables were
taken into account in the .epldemiologioal studies of spousal smokln~
on which the EPA's estimate was based was very limited. Thus over
0
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half ?.he studies where spouse smoking was the index of exposure
failed to restrict attention to married subjects, thereby producing
a serious confoundln~ between potential effects of ET$ exposure and
potential effects of
Furthermore. although
numerous risk factors,
marital status (and its correlates).
many studies reported having recorded
few took any account of these in analysis.
Thus, 31 of the 53 studies did not adjust for dietary factors, one
of these being a study [22]. which actually reported a striking
relationship between diet and lung cancer among never smokers in
another paper [26]!
Failure to eo~re~C, fully.for bias ~ue tq misclassiflcation of active
s~_._~. Adjustment for misclassificatlon is a complex issue
involvin~ a n~mber of assumptions that are not easily justified, and
variables that are not precisely known. In the EPA report, Wells
estimates the bias to be negligible, only increasing the overall
relative risk estimate by a factor o£ about 1.02. However, as
discussed in detail elsewhere |27], there are two major reasons why
this analysis may understate the effect of bias. One reason lles in
the error of applying a mlsclasslflcation rate, estimated from data
virtually all of which comes from North American, European and
Australian populations, to results from lung cancer studies
conducted in Asia. The fact £s that in some countries, such as
~apan, smoking by women is considered socially unacceptable.
Consequently misclassification rates are- likely to be much higher
there. The second reason lies in underestimat£ng the extent of
mlsclassification i~ the countries for which data are available.
CD
~D
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Elsewhere {19] I present the results of analyses adjusting the
mete-analysis relative ~isk ~or the US studies for various plausible
values of the two key parameters, the mlsclasslfication rate and the
concordance ratio (the measure
between the smoking habits of
regarded as the most plausible
of the extent of the association
husband and wife). Uslngwhat I
estimates (2.5% misclasslfication,
concordance ratio of 3.0) reduced an unadjusted relative risk of
1.13 (95% CI 1.00-1.28) to 0.96 (95% CI 0.8~-I.09). Even assuming
only a 1.0% miselasslfleatlon rate reduces the =elatlve risk
estimate to 1.06 (95% Cl 0.9~-1.20), halving the estimated excess
risk and making i= become non-slgnificant.
Failure to address public~t~o~ bias. It is well known that any
meta-analysis should consider the possibilities of bias due to
failure to publish null studies, hut EPA do not consider =hls issue
at all. In fact there is some evidence of this, with a tendency for
relative risk estimates to de=tease with increasing sample size.
Thus, in ~he Ii studies with less than 50 lung cancer cases, the
relati~ risk estlma~a was 1.41 (95% Cl 1.02-1.93); in the 12
studies with 50 to I00 cases it was 1.33 (95% Gl 1.12-1.58); and in
the 10 studies with more than 100 cases it was i.i0 (95% CI
1.00-1.21).
Failure_to. test for @ffects o~studv weaknesses. Meta-analysls is
conventionally used to combine results" from similarly designed
randomized controlled trials conducted in different populations. It
is much more open to question when, as here, it is applied to
BATCo document for Mayo Clinic 27 March 2002

, . Hmll I I II
non-randomlzed eptdemiological studies o£ varying design. Before
acceptin~ an overall estimate in such circkultstances i~ seems prudent
to see whether relative risk estimates vary systematically by
dlfferen= aspects of study design. The EPA did not conduct such
analyses but elsewhere |19] I have done so. One clear conclusion
was ~hat studies class~fled as seriously weak on one or more o£ six
crilerla (fewer than 1O lung cancer cases, cases and controls from
different hogpitals, cases and controls interviewed ~n different
places, next-of-kin used co supply data for a much higher proportion
of cases ~han controls, controls and cases unmatched on vital
stalus, no derails provided at all on the controls) had much higher
relative risk estimates than those with no such weaknesses. Indeed
the 16 seriously weak s~udles included the 12 studies (of 33) with
the hi~hes~ estimates (p<O.O01) on a rank test. My analysis also
detected one other factor strongly associated with relative risk,
namely year of publ~catlon of the study. Studies publlshed, after
1988 reported no increase in lun~ cancer risk in relation to
marrla~e to (or livinK with) a smoker (RR - 1.02, 95% CI
0.gl-l.15), while a higher relative risk was reported in studies
puhllshed in 1981-85 (RR - 1.29, 95% C~ 1.09-1.52), or in 1986-88
(KR - i.~, 95% CI I.~0-1.68),
Failure to cpn~ider bias., due ~?.i~accuracy. of dlaKnosls, While bias
due to selection of indices of exposure showing an association at
the expense of those that do noK,. to confounding, to
misclasslfica~ion of smoking status, to failure to publish
null
studies, and ~o poor study design, would tend to result in
O
~o
O
O
BATCo document for Mayo Clinic 27 March 2002

-22-
overestimation of the r~sk associated with E~S exposure, bias due co
mlsclassiflca~ion of diagnosis would
underestimation of risk. However,
difference in relatlve risk bet~een
be expected to result in some
since there is no significant
the 16 studies where all or
virtually all the diagnoses were histologically confirmed (RR -
1.26, 95% Cl 1.10-i.~3) and the 17 studies where this was not the
case (RE - 1.11, 95t Cl 1.00-1,2a), this does not seem to be a major
factor.
Over~nterpretaClon o~ the do~e=r~sponse .da~a,
of 16 studies testing for upward ~rend
significant (p<O.05) association and tha~
response is very supportive of
would be an unlikely result of
The EPA noted ~ha= I0
reported a statistically
"this evidence of dose
a causal relationship because i~
any operative sources of bias or
confounding". The EPA's interpretation of ~his is misleading fo~ a
number of reasons. Firstly, their trend analyses included the
non-exposed group, many studies being cited as having a significan~
trend actually showing little or no ~ariation in risk between the
exposed groups. Second, studies that report an association bstween
spouse smoking and lung can~er risk are more likely to present
dose-response data than those that do not. Third, in some studies
authors, faced with a choice of indices of exposure, presenU
detailed results for the index showing the strongest dose-~esponsa
relationship [28]. Finally, a number o~ the sources of bias,
including mlsclassificaClon of active smoking status and confounding
by diet, would in fact be expected to produce a spurious
dose-response relationship
BATCo document for Mayo Clinic 27 March 2002

1~ one takes all the above considerations into account ie is
clear that the epldem£ological evidence does not provide convincing
support to the no~ion that ETS exposure causes lung cancer. There
are a number o£ sources o£ bias ~hich together could easily explain
the ohsewed association between lung cancgr and marriage to (or
liv£n~ with) a smoker, which is veak and marginally significant.
Clearly under these circumstances it is not seustble to attemp~ to
estimate deaths occurring annually "as a result of" ZTS exposure.
However, some additional comments should be made on certain aspects
of ~he EPA's ~Isk estimate.
Use of dubious .Z-faeto~esttmates. For a given relative risk
estimate in relation to marriage to a smoker, the proportion of
deaths attributed to ETS exposure reduces sharply as the estimated
value of the Z-factor (the ratio of ETS exposure in never smokers
married to a smoker no that in never smokers married to a nonsmoker)
increases. ~u the ~986 NRC report (&), a Z-factor of 3.0 was used.
Given a relative risk e@tlmate of 1.19, this would imply that 2~% of
lung cancer deaths in never smokers married to a smoker are
attributable to ETS exposure, "and that i0~ of deaths in those
married to a nonsmoker are. For the Z-factor of 1.75 used by EPA,
these percentages rise to 37% and 25%. It is in fac~ very doubtful
whether I.~5 is an appropriate estimate, for reasons discussed in
de~ail by Layard ~29] and Sears 130], who cite data from a number
of US studies showing substantially hisher Z-factors, exceedin~ a.O.
BATCo document for Mayo Clinic 27 March 2002

Unjustified ez~Tapo~at~o~ to male~, ex-smokers and non~spousa|
s~urce~_of ETS.ex~osure. O~ ~he 3,060 lung e~nser deaths attributed
by E~A to ~ exposure, only 670 are attr£buced to spousal exposure
£n~emales. The remaining deaths attributed are in males, ~n
ex-s~oke~s and/or are at~ri~ted to non-spousal exposure, a~
calculated i~direc~lyby extrapolation f~om the spousal results for
tamales. And yet ~here are direct epidemiological data ava£Iab~e on
risk in males, on risk in ex-smokers, and on risk In relation to
other forms of ETS exposure,
significantly increased risk.
ex-smokers are quite limited,
all of which show no statistically
While the data in males and in
the da~a on workplace exposure is
quite substantial, and shows no association with lung cancer risk.
I~ is clearly not scientifically sensible to use data on spousal ETS
exposure to estimate effects of non-spousal ETS exposure (of which
workplace exposure in clearly a major part) indirectly, ignoring the
direct evidence.
0@ the e.st.~ated.number of lunz
The EPA note [9] that thei~
of approximately 3,000 lung
Let us actually consider the
Undue confidence in the accuracy
cancer.de.~hs.attr£buted to ..ETS.
overdll confidence in their estimate
cancer deaths is "medium to . high".
facts about this estimate:
(1) It depends on an estimate of relative risk associated with
husband's smokln~, based on iI US s~udies, of I.~9 which has
95% confidence limits as wide ~s 1.04 to 1.35. These
confidence limits, which only reflect sampling variation
O
O
O
O
Co
BATCo document for Mayo Clinic 27 March 2002

-25-
within the studies, would at once imply that the estlmated
number of deaths from spousal smokin~ in females of 470 should
have confidence limits at least as widely spread as 99 to 866.
The estimate is adjusted for mlsclassifi¢atlon of smcklnE
status, but the eonfldence limits do not reflect the
considerable uncertainty in the parameters used in the
adjustment. As noted above, using alternative, apparently more
plausible assumptions, the point estimate of ~70 would reduce
markedly, perhaps even to zero. Certainly the confidence
limits would ~0 below zero.
(Ill) NO adJustmenn is made for other sources of bias, noted above
to be relevant, including confounding, publica£ion bias and
weaknesses in study design.
(iv) The estimate of 470 is contingent on the Z-factor used. Using
3.0 instead of 1.75 would approximately halve
a Z-factor of
this estimate,
72% of the
(v) total of 3,060 deaths is attflbutable to
non-spousal ETS exposure, this being calculated by
extrapolation from the data for spousal ET$ exposure ignor~n~
the evidence that workplace ETS exposure is not associated
with lung cancer risk.
(vl) 35% of the total deaths attributed are in ex-smokers, and 37%
in males, with actual data available being ignored, and .the
assumption that results for females apply to males and that
results for never smokers apply .to former smokers being
dubious, and adding further uncertainty to the overall
estimate of 3,060 deaths.
O
"-4
CO
BATCo document for Mayo Clinic 27 March 2002

-26-
o o
Clear~y £n no sense
estimate of 3.060 deaths,
EPA express.
can one have any real confidence in the
let alone the "medium to high" conEidence
BATCo document for Mayo Clinic 27 March 2002

-27-
Conc~U~.~cns
Assuming that a linear no-threshold mode~ applies, and that
particulate matter deposited in the lung is an appropriate index of
e~osure, it has been calculated [17], on ~he basis of the lung
cancer risk in smokers, and the relative deposition of tobacco
smoke-related particulate matter in the lun8 in smokers and
nonsmokers, that 12 lun~ cancer deaths occur annually in the US as a
result of ETS exposure. This estlma~e is over two orders of
magnitude different from the recent EPA estimate of 3,060 deaths,
based on epldemiological reports of an increased risk of lung cancer
in never smokers married to smokers. Does this imply that the
estimate produced by dose extrapolation is seriously incorrect?
Cerualnly it is difficult to h~ve any very ~reat confidence in this
estimate, because of doubts reEarding validi~y of the linear
.o-threshold model, and of the approprla~e index of exposure ~o use
for dose-response extrapolation. However,
this does non
necessarily mean that the estimate is seriously incorrect. ~ha6 is
clear is chat the epidemlologlcally based estimate of 3,060 deaths
has no sclen~Ific justification whatsoever. Detailed examlna~ion of
the evidence reveals that no effec~ of ETS exposure on lung cancer
has Seen established at all. ~t is~ of course~ impossible co
prove a negative, 5u~ it is'clear that very much lower estimates of
deaths, 30, 3 or even 0.3 are totally consisten~ with ~he data
available to date. ~t is thus no~ possible to use the
ep~dem~olo~ieal data on ETS exposure as a~y sort oE gold standard to
validate estimates produced by linear extrapolation from the
e?idemio~o~ical data rela~ng ~o active smoking.
BATCo document for Mayo Clinic 27 March 2002

-28-
References
1. H¢=ayama To Nonsmoking wives of heavy smokers have a higher risk
o£ lung cancer: a study from Japan. Br ~ed J 1981;282:183-5.
2. Trichopoulos D, Ka~andidi A, Sparros L, Hac~ahon ~. Lung cancer
and passive smoking. ~nt J Cancer 1981;27:1-~.
3. ~a~tonal ~esearch Council. Env£ror~en~al Cobaoco smoke.
Heasurtng exposures and assessing health effects. ~ash~ngton,
National Academy Press, 1986.
4. US Surgeon-General. The health consequences of involuntary
smoking; a report of the Surgeon-General. Rockville, US
Depart~en~ of Health and Human Services, Public Health Service,
1986, (CDC)87-8398.
5. ~nternatlonal Agency for Research on Cancer. ~ARC monographs on
the evaluation of the carclnogen~c risk of chemicals to htu~ans,
vol 38: ~o~acco smoking. Switzerland, ~AEC, 1986.
6. Auscral~an National Hea~h and Medical Eesearch Council. Effects
of passive smo~n~ on health. Austral~a, L986.
7. Independen~ Scientific Co~t~ee. Fourth repor~ on smoking and
health. London, Her MaJes~y*s S~a~ionery Office, 1988.
8. ~S Env~ro~ental Protection Agency. Respiratory health eff~c~s
of passive smok~g: lun~ cancer and o~her disorders. ~ash~ng~on
DC, 1992, EPA/600/6-90/O06F.
9, US Surgeon-General. Smoking and health; a report
Surgeon-General. ~ash~ns~on, US Department o~ Health, Education
and ~elfare, Publlc Health Serv[ce, 1979; (PHS)79-50066.
BATCo document for Mayo Clinic 27 March 2002

i0. Wald NJ, Nanchahal K, Thompson SG, Cuckle HS. Does breaching
other people's tobacco smoke cause lung cancer? Br Mad J
1986;293:1217-22
ii. Casanova M, Hock H d'A. The impact of DNA-proueln cross-linking
suudles on quantitative risk assessments of formaldehyde. CIIT
Acu£vities 1991;ii:1-6
12. Scherer G, Conze C, TrlckerA~, Adlkofer F. Uptake of tobacco
smoke constituents on exposure to environmental tobacco smoke
(ETS). Clin Investig 1992;70:352-67.
13. Doll K, Peto R. Cigarette smoking and bronchial carcinoma: dose
and ~ime relationships among regular smokers and lifelong
non-smokers. J Epidemlol Community Health 1978;32:303-13.
14. Derby SC, Pik~ MC. Lung cancer and passive smoking: predicted
effects from a mathematical modgl for cigarette smoklnE and lung
cancer. Br J Cancer 1988;58:825-31.
..15. Lee PN. An estimate of adult mortality in ~he United States from
passive smoking. Further comment. Environ Int 1992;18:315-7.
16. Repace JL, Lowrey AH.
estimating mortality
1991;17:386-7.
Observational vs extrapolative models in
from passive smoking. Environ In=
17, Arundel A, Sterling T, WelnkamJ. Never smoker lung cancer risks
from exposure to particulate tobacco smoke. Environ Int
1987;13:409-26.
18. Lee PN. Passive Smoking and Lung Cancer. Association a Result
of Bias? Human Toxicol 1987;6:517-24~
O~
BATCo document for Mayo Clinic 27 March 2002

-30-
19. Lee PN. An assessment of the epldemiological evidence relating
hung cancer risk in never smokers to environmental tobacco s~oke
e~posure. In: "Environmental Tobacco Smoke". Ed: H Kasuga.
Sprlnger-~erlag, New York 1995.
20. Lee PN. Environmental tobacco smoke and mortality. Karger,
Basle, 1992.
21. Browns0n RC, AlavanJa HCR, Hock ET Loy T$. Passive smoking and
nonsmoklng women. Am 3 Public Health 1992;
lung cancer in
82:1525-30.
22. Stockwell HG,
Goldman AL, Lyman CH, Nass CI, Armstrong
Plnkham PA, Candelora EC, Brusa MR. Envlronmental tobacco smoke
and lung cancer in nonsmoking women. J Nail Canoer Inst
1992;8~:1417-22.
23. Kaba~ GC. Epldemlologlc studies of the relationship between
passive smoking and lung cancer. Washington, 1990 Winter
Toxicology Forum, 1990:187-99.
2~. Fleiss JL, Gross A~. Meta-analysis in epidemiology, with special
reference to studies of the association between exposure to
environmental tobacco smoke and lung cancer: a critique. $ Clin
Epidemiol 1991;4&:127-39.
25. Thornton A, Lee PN, Fry JS. Differences between smokers,
ex-smokers, passive smokers and nonsmokers. Submitted to Journal
of Epidemiology and Community Health 1993.
26. Candelora EC, Stockwell HG, Armstrong KW, Pinkham PA. Dietary
intake and risk of lung cancer in women who never smoked. Nutr
Cancer 1992;17:263-70.
BATCo document for Mayo Clinic 27 March 2002

-31-
27. Lee PN. An estimate of adult mortality in ~he United States Erom
passiv8 smoking. Environ ~nn 1993:19:9~-I00.
28.'Lee PN. Lung cancer in nonsmoking women: a multlcenter
case-control study. Cancer Epldemlology. Biomarkers and
Prevention 1992;1:332-3.
29. LayardMg. The background ad~us~menu In risk assessmen~ oE
environmental ~obacco smoke and lung cancer. Environ Int
1992;18:453-61.
30. Sears SB. Presentation before the EPA°s Science Adv£sory B~ard.
~ashlnguon DC, July 21-22, 1992.
BATCo document for Mayo Clinic 27 March 2002

THE INTERNA~ONAL CENTER
FOR A SCIENTIFIC ECOLOGY
The Center has been created at the beginning of 1993 under the
French law for nomprolit organizations. The purpose is to answer
the request from a number of the Heidelberg Appeal signatories
in view to extend its impa~t in examining actual issues
the ~ientific community is confronted with.
The purpose of the Center is expressed in the by-laws :
"The purpose of the Assodarion is to promote and fadlitate
exchange of scientific knowledge, based on sdentit'~ data.
regarding the protection of mankind, other living species, natural
sites and the resources ot" the planet.
The Association thus proposes to provide the most relevant
scientiF~: facts to the authorities responsible for developing
environmental protection policies, to the Society which, under
the principle of transparency, is called upon to express its point
or view. as well as to all sodo.economital partners who want
to contribute in both the conservation of the Earth and
the Iong-term development of its populations."
The Board of the Center includes in particular:
- Mr Pierre Joly. President of the ~.ssociation Fran(aise pour
la Recherche Th~rapeutique : former President of the
International Federation of Pharmaceutical Manufacturers
Association ;
- Mr Constant Burg. honorary membei of the State Council ;
honorary managing director of INSERM : President of the lnstitut
Cude:
- Mr Gilbert Rutman. chief mining engineer: President of the
Conseil Natioflal des Ingdnieurs et des Scientifiques de France:
- i~rof. $. Fred Singer. Doctor of Physical Science : President of
the Science & Environmental Policy ProJect : former Director US
Weather Satellite Program : Dean of the School of Environmental
Sciences. University of Miami : Deputy Assistant Administrator
of US Environmental Protection Agency (EPA) :
- Mr Gary Nash. Secretary General of the Interhational Council
on Metals and the Environment ([CME) : former Director General
in the Canada Department of Energy. Mines und Resources :
• Dr. Michel Salomon, coordinator of the Heidelberg Appeal ;
former science journalist : magazine editor.
International
Center
for a
Scientific
Ecology
Centre
International
pour une
Ecologie
Scientifique
Is the concept
of linear relationship
between
dose and effect
still a .valid model
for assessing risk related
to low doses of carcinogens ?
An international scientific seminar
organized by the
International Center for a
Scientific Ecology
May 10, 1993 - Paris (P~. nce)
(Hilton Hotel. 18. Avenue de Suffren o 7~015 Paris)
Under the patronage of the following Associations
• The Science and Environmental Policy
• Entrepdses pour rEnvtronnement
• Consell National des Ing~nleurs et Sclentlflques de France
l~e Seminar devoted to the linear dose/response relationship
Is the first event Inffiated by the Internationa| Center for
a Scientific Ecology.
International Center for a SdentJflc Ecology
10. avenue de Messine. 750~8 Paris. France
Phone : 33 1 45 62 20 03. Fax : 33 1 42 89 O0 59
0
0
BATCo document for Mayo Clinic 27 March 2002

Mot~day May 10.1993
8/8.15 aJ~
8.15/830 &m.
8.3019 a.m.
91920 a.m.
9.2019A0 a.m.
9A0/10.00
10.00/1020
IO.ZO/1030
lO.30/Noon
AGENDA
• Reglst~Jon - Coffee.
• Welcome address by Pierre Joly, Chairman
of the International Center for a ScientiF¢
• Opening speech by the ChaTmlan of the
Seminar, Prof. Bruce IL Ames (B/oto9/st, D/r.
NaE Inst. of Environmental Heal~ Sdences
Center. BenV.ete2.
• How ~ologlcat|y based mode~s m~ hetp
extrapolating cancer risk to low doses.
Prof. (~qxg L~ebed¢ (Fred Hut~hfn~o~ Cancer
ReseaKh Cent~. Seattle. U.S.A).
• Critical approach of mathematl(:al
extrapolation. Prof. EUe~ne
(Tmicologls~. Hopital Femand-Wldal, Paris,
• Do mden~ studies p~dict human
cance~ ?Pmf. Aaron Wildavsk;y
(Unkc, rsity of Califom~ Berkeley, IIS.A).
• ~he Delaney amendmenl: ar~ its
consequences on the American Rgulatton.
Prof. Fred S, ~nger (Physick~ forme~ Oic US
Weather Satellite Program ; P~sident Science
8~ Env/ronrnenta! Foilcy Project, USA.).
• Coffee break.
• Case studies: Predictions and reali~o
- The Arsenic case. Prof. Gerhard St~hre¢
(fom~r chief Dept. of chemical dsk~
Resea~n Inst. Sloan-Ke~tering. IIS~ ),
- The Asbestos case. Prof. J. Corbett M¢Donald
(Ep/demlologis¢. Resea~.h Unit in Epld.. Hear~
and Luhg Inst.. London, U,f~).
- The case of chlorine and dedvated products
(VCM). Dr Wemer Frelesleben (Oir. European
Coundl o~ Vin21 Manufacturers, Brussels.
Belgium).
. The DDT case. Dr W1111am flazelffne
(Ph. 0., entornot~glst, former Manage"
of mosquito abatement in Callfomla, USA).
- The case of radiations. Prof. Bernard L. Cohen
(University of PiGsb~irgh ].
Noon/1230 p.m.
17_30/Z
213 p.m.
314_30 p.m.
4.30/5 p.m.
5/6 p.m.
End of Seminar.
6,'7 p.m.
• Special meeting with International
scientific press for Q/A and interviews.
Parttdpents to the sdentlflc Panel
Invitations have been sent to a number of distinguished
intemaLional scientists. We expect twenLy to thirty sdentists
to attend.
Audience
A number o~ personalities from industry and administrations 'will
attend the Seminar as observe~ Their flnanolal cofltdbutione
ma~dng the meeting possible.
Organbatton
The Seminar is organtsed by the In~mational Center for a
Scientific Ecology (see introduction to the Center In cover page).
The sdentiflc work is organLsed by .Dr Michel Salomon.
Coordinator of the Heldelbe~J Appeal.
"lYanslation
Lectures and comments may be either In English or FRnch.
Simultaneous translation will be provided in both languages
throughout the Seminar.
Press Conference
International scientificjo~matlsts are asked to reg|ster If they
wish to attend the sessions. A press conference will be held
by the members of the scientific panel
at 6 p.m. on May 10. 1993.
C~
0
BATCo document for Mayo Clinic 27 March 2002

26:0./. "93 17:S3 '~33 1 42 8~ O0 5;] CE$~k"L~OPR-~-T-IS "~'* -
[~002
TO HEADS OF STATES AND GOVERN1VIENTS
~cienti~c ~nd in~e~ua~ ceremony. ~he ~ubject m~t~r ra~ed by the He~e~ Appea~
and the fruitful deba~ it h~ engen~red ~re prompt~g the ~nvolvement ~f a number of
$~[ent~ts and intellectuals. The vaIu~ embr~ed by ~he Appeal remain a topic of ongoing
We wa~t to make our full contribution to the
preservation of our common heritage, the
Earth.
We are however worried, at the dawn of the
twenty.f~rst centm7, at the emergence of an
irrational ideology which is opposed to
scientific and iudustrial progress and,
impedes economic and serial development.
We contend that a Nataral State, sometimes
idealized by movement~ with a tendoncy to
look toward the past, does not exist and has
probably never existed since man's first
appearance in the biosphere, insofar as
humanity has always progressed by
i~¢reasingly~ harnessing Nature to its needs
• a~cl not the reverse.
• W e fully subscribe to the objectives of a
scientific ecology for a universe whose
resom'ces must be tak~ stock of, monilored
and preserved.
But we here~vith demand that this stock.
taking, monitoring and pressrvatlon be
founded on scientific criteria and not on
irrational pro-conceptions.
We stress that m~uy essential humau
activities are carrivd out either by
manipulating hazardous substances or in
their proximity, and that progress and
development have always involved
increasing control oyez hostile forces, to the
~nsfi~ of mank~d.
We thex~f~re ~nsider that s~eR~fi~
is uo more than an extension of this
¢ontinu~ pro~ss toward the improved life
of furze generations.
We intend to assert science's responsibility
and duties toward society as a whole.
We do however ~otewarn the authorities in
cha~ge of our planet's destiny against
derisions which are supported by pseudo-
scientific arguments or false and non
relevant data.
We draw everybody's attention to the
absolute necessity of helping po~r countries
attain a level of sustainable development
which matches that of the zest of the planet,
protecting them ~om troubles and dangers
stemming from developed nations, and
avoiding their entanglement in a web of
unrealistic obligations which would
compromise both their independence and
their dignity.
The greatest evils which stalk our Earth v.re
ignorance and oppression, and not Science,
Technology and Industry whose
instruments, when adequately man~ed,
are indispensable tools of a ~t~xe sheped by
Humanity, b:r itself aud for itseli.
overe, omiug major pr ob:.em.~, like
overpopulation, starvation :.~md v.':,r~dw~d~
diseases.
du~y vign~ avd st~dng )'our academic titlts ~nd far
p.'o~s. [~.a~: pm i¢io ~ ~ :
Dr ~f. .~alor, lon, coordinator of the Fl~del~¢q~ A~I. ;0. ao~nua de 3f¢~si.na 7~008 Paris, Frar.~e.
F~.~: (33:- 1 4'2 89 O0 5,0.
ideidelbe~. Aprti 14 (3rd rgt'.icm~)
BATCo document for Mayo Clinic 27 March 2002

Is the concept of linear reiationship between dose and effect
still a valid model for assessing risk related to
low doses of carcinogens ?
May 10, 1993- Paris
21 Avd11993
BATCo document for Mayo Clinic 27 March 2002

International
Center
for a
Sdentific
Ecology
i li'll II
Centre
International
pour une
Ecologie
Scientifique
Is the concept of linear relationship between dose and effect
still a valid model for assessing risk related to
low doses of carcinogens ?
May 10,1993 - Paris
• How biologically based models may help extrapolating
cancer risk to low doses
................................................................................
Prof. Georg Luebeck
• Do rodent studies predict human cancers ? .............................................
Prof. Aaron WildevsW
• The Asbestos case
......................................................................................
Prof. J. Corbett McDonald
• The case of chlorine and derivated products (VCM) ................................
Or Warner Frelesleben
• The DDT case
...............................................................................................
Dr William Hazeltlne
• The case of radiations
................................................................................
Prof. Bernard I.. Cohen
• Endcavouring new shores in the estimation and assessment of
the cancer risk by environmental materials (abstract) ...............................
Pr Erich Hacker
• Exposure-Response: Asbestos and Mesothelloma ..................................
Health effects of historical exposures to Asbestos ....................................
Prof. Douglas Liddell
21Avd11993
International Center for a Sdentlflc Ecology
10. avenue de Messine. 75008 Pads. France
Phone: 33 1 45 62 2003. Fax: 33 1 42890059
BATCo document for Mayo Clinic 27 March 2002
