Rats, Tumors and Critical Assessment of Science
My email box exploded with new messages. A flurry of notes contained a link to a new
peer-reviewed paper, a work showing that rats fed “GMO” corn developed massive
tumors and died early, compared to controls.
Immediately I smelled a Seralini paper.
A click on the link did not disappoint-- it's Seralini again. I was electronically whisked to a PDF of the
whole text and began to read. Within
minutes I was blown away by the lack of rigor, poor experimental design,
attention to controls and loose statistics. Most of all, I was blown away by the
conclusions drawn by a study with tiny numbers of subjects in a rat line known
to grow endochrine tumors.
The anti-GMO interests were quick to anoint this new work as
a rigorous pillar of exceptional science, a hard-science detailing of the danger of
transgenic food. They want this to
influence public policy.
I was really impressed by how the scientific media and the
science blogosphere pounced. The best
names in the business, Terwavas, Leyser, Goldberg and many others were
interviewed and provided detailed analysis of the work, pointing out its many
flaws. Those reviews can be foundthroughout the internet, and they are awesome. Like this one! I don’t need to reiterate them here.
What I will do, which is highly uncharacteristic and but consistent with the post hoc analysis done all the time, is provide a level of analysis that was not explored. There are features of this paper that hint at
a motive, an intent. I do not believe
this was a hypothesis tested. I believe
that this was an experiment designed to frighten. I believe that this is blatant mis-use of
science to forward an agenda.
Those are strong words and I never thought I’d cast such
allegations at someone else’s peer-reviewed research. That’s usually pretty low. However, there are facets of this work that
are clearly indicate the intent of the authors is to provide shock, not a good
test of a hypothesis. In fact, the word “hypothesis”
does not appear once.
This is why the report is in Food and Chemical Toxicology
and not in Nature, where it would be if it was a properly conducted
study.
Here are some red flags the others have not mentioned. I’m reading between the lines here. I will
describe what a good scientific report should not do and then give you some
strong inferences from what the paper does not show, as well as how data are presented.
1. The first line of the paper claims an “international
debate”, yet he cites himself and nobody else. Easy to claim a debate when nobody else is participating in it.
2. Figure 3. This one really makes me see red. Look at tumors. Look at massively deformed rats. Shocking, isn’t it? The
authors tell us in Table 2 that control rats also develop tumors. Why not show them? Why are the controls not shown in that
figure? It is because if they are
identical to the experimental treatment rats then the fear factor is gone. This is inexcusable and the authors,
reviewers and editors should be ashamed.
Sometimes the way data are presented can expose the relative objectivity and hidden intent of a study. Left-rat that ate GMO corn. Center- rat eating GMO corn and roundup. Right- rat fed roundup. Their associated tumors shown on the right. Wait! What about the control rats, the ones that also got tumors? How convenient to leave them out!
3. The labeling on
the figure is “GMO” or “GMO+R” (R stands for Roundup). GMO is not a product. It is not a genetic line
of corn. It is a technique. There are many kinds of GMOs, plant lines
bearing different transgenes. Even if
these results linked rat tumors to the food (which they don’t in my assessment)
they would link it to one kind of
transgenic crop, not any transgenic crop. This again shows the authors’ intent to
overstep the data in a manner that will inflame the reader and further vilify a
technology. To be fair, they do state it properly in
the conclusion, but few are reading past the sensational photos.
4. They show
comparable effects of Roundup treatment and the transgene. This should be a tip-off as well. What is the likelihood of both inducing
identical problems?
5. Low numbers of
subjects are a sign of poor design. When
tumor incidence is 30%, vs 50% or 70% that means three rats vs. five or
seven. The incidence of endocrine tumors
in Sprague-Dawley rats is 70-80%. Imagine
you roll a die and numbers 1-4 mean develop tumors, 5 and 6 mean tumor free. Now roll it ten times and log the result. You’ll find that there will be times when you
consistently roll 5 or 6, maybe 5 times out of ten. Other times you’ll roll 5 or 6 only 2 times
out of ten. That’s natural random
variation, and if you roll it 100 times, 1000 times, then the real
probabilities will even out.
6. Low numbers + a
line known to get tumors = some frequency of data that will prove the authors’
beliefs.
7. A prediction-- the larger study will never be done and these results will not replicated by other labs.
8. The Discussion. Lots of guesses on how to link the food or Roundup to the symptoms. Quite a bit of speculation and hand waving, with no likely mechanisms discussed.
I could go on all day. For fun reading review the press conference. It was a
bigger joke.
The bottom line is that if we look at the report and what it
says, and compare it to what the data really say, there is limited concordance.
To the trained eye the data say that these
rats get endocrine tumors at high incidence and that what is being observed is
the natural variation of the tumors in small numbers of rats, where the authors' “significance”
is found in statistically meaningless samples.
Alas, it is now part of the true-believers' war chest of crap information that now will be used to steer the unsophisticated and influence public policy.
Alas, it is now part of the true-believers' war chest of crap information that now will be used to steer the unsophisticated and influence public policy.