Going out to dinner
It is abundantly clear that a means to detect the presence
of early-stage ovarian cancer accurately, non-invasively, and cheaply would be
an inestimably boon to womankind – as it says on the back of the MRC symptom
card, “when detected early, over 90% of women survive (ovarian cancer)”. To my disappointment, the suspicion has
inexorably grown on me (an untutored outsider, remember) that the approach used
by the Fred Hutch group I try to help isn’t working. Looking for specific cancer-related miRNA
molecules has been suggested, but no follow-up has been done, to my
knowledge. I have also read that it may
be possible to actually detect cancer cells circulating in the blood
stream. Again, where that has gone or is
going is a mystery to me. Cancer-sniffing
dogs have been mentioned more than once: would that it were so. Now, another possibility:
This paper deals with a method to (possibly) detect the
presence of ovarian cancer by looking for certain organic molecules in a
woman’s breath. How it is done shouldn’t concern us: we don’t
have the background to translate all that biochemistry. Suffice it to say that one breathes into a
thing, and bells, whistles and lights do or do not go off. This test was performed on a sample of 182
women, some of which had OVCA, most of which did not, and some had something
called “benign gynecological dysplasia”.
The statistics were encouraging: sensitivity,
79%; specificity, 100%; accuracy, 89%.
What was not discussed was how early this test might catch the disease.
Obviously, you can’t test women with stage 1 OVCA unless you know they have it –and
that is difficult to do. Ultimately, a
test that detects the disease in late stage 3 will be of little overall value. Let’s hope this breathalyzer thing is more
sensitive than that!
More work is, of course, needed.
By the way – this seems to be a definite international research
effort: Israelis, Chinese, people from
Spain and Greece – but, curiously, no Americans.
Also:
Sensitivity: the probability that, if a test says you have
something, you really do
Specificity: the probability that, if a test says you don’t
have something, you really don’t.
Accuracy: I don’t know what in hell this is. I guess it is some murky statistical measure
of how likely the test is to be right.
If Jay Teachman read my blog, he could explain. But he doesn’t.




