Video summary
Stephen Chanock's research investigates the intersection of epidemiology and genomics by analyzing a cohort of approximately 29,000 cleanup workers exposed following the 1986 Chernobyl accident, with a specific focus on papillary thyroid cancer in children due to their high susceptibility from contaminated milk sources. The study reveals that radiation exposure induces distinct biological signatures characterized by double-strand DNA breaks repaired via non-homologous end joining, which results in structural variants involving microhomology events rather than the point mutations typically seen in smoking or UV-induced cancers. Furthermore, analysis of over 400 thyroid cancer cases demonstrates that these tumors are predominantly clonal and driven by a single event within pathways like *MAPK*, contrasting sharply with complex mutational burdens found in other malignancies such as melanoma.
Beyond somatic changes in tumor tissue, the research extensively examines transgenerational effects through studies of over 290 families involving children born to liquidators or evacuees, finding no evidence that protracted low-dose radiation exposure increased *de novo* genetic variants beyond expected paternal age effects. This conclusion is reinforced by new genomic pipelines utilizing PacBio sequencing on Brazilian accident victims and a UK study of nuclear test veterans, both of which showed no statistically significant increase in indels or microsatellite instability among adult children of parents who received low-dose exposure. Additionally, targeted sequencing across more than 2,900 genes in liquidators revealed that young adults exhibited mutation loads comparable to background clock rates and found no association between red marrow dose and acquired conditions like clonal hematopoiesis or chromosomal mosaicism, suggesting the transgenerational impact at these specific dose levels is negligible.
Despite these reassuring findings regarding heritable mutations, the presentation highlights significant public health challenges in distinguishing radiation-induced cancers from sporadic cases and addressing ongoing fears about low-dose risks versus hormesis theories. The research team acknowledges survivor bias due to severe early deaths but emphasizes that pediatric non-thyroid cancers are too rare to detect appreciable increases at current exposure levels, while also noting ethical complexities regarding the return of secondary genomic findings in post-Soviet contexts like Ukraine and Belarus where such practices remain restricted. Ongoing projects continue to expand whole-genome sequencing efforts across Ukrainian populations and analyze metastases using single-cell RNA sequencing to better understand broader mutational processes or LINE-1 activity, aiming to provide clarity for future responses to nuclear incidents similar to those in Fukushima.
Read the full video transcript
okay afternoon everyone and I did say
afternoon and not good afternoon um so
as to acknowledge the challenging times
we find ourselves in so we will all have
to take that into account uh and in
spite of that uh continue to do the good
work that we are all doing and good work
is what my friend Steven chanik does a
lot of Stephen is a leading expert in
the discovery of characterization of
cancer susceptibility disorders in the
human genome he has received
unsurprisingly numerous awards for his
scientific contributions to
understanding common common inherited
genetic variants associated with cancer
risk and outcomes including the KNE
house Southworth and visen Bach award in
cancer clinical genetics some of you may
also remember he was honored to receive
the invitation for the Jeffrey Trent
lecture for our own Institute he's
received the aacr a CS award for
research excellence in cancer
epidemiology and prevention and he's
elected member a fellow pediatrician I
do want to point out he's a fellow uh
member of the society for Pediatric
research aacr the association of
American I mean AAP the association of
American Physicians and the American
epidemiological Society aacr on and on
and on National Academy a
AAS uh Steve's background is that he
received his bachelor's degree which I
did not know this in
music uh from Princeton University and
his MD from Harvard uh
1983 and he trained in Peds uh pediatric
infectious disease and heon at Boston
Children s Dana Farber and served and
for 25 years still
serving transition TR okay 25 years two
and a half decades as a director of
fantastic for kids with cancer um Steven
started here at NIH in 2001 uh where
he's a tene investigator in the genomic
variation section of the pediatric
oncology branch of the NCI Center for
Cancer Research and 2001 he was
appointed chief of the cancer genomics
research laboratory and 2007 is chief of
the laboratory of translational genomics
within DC
Steve co-led the cancer genetic markers
of susceptibility project and from 2012
to 13 he was acting
co-director of the NCI Center for Cancer
genomics and director which he is now
serving of dcag in
2013 so Stephen uh please tell us about
this great work you're doing on this
important
[Applause]
question it's a pleasure to be here um I
have uh two Corrections on that one is I
came in ' 91 as a investigator and I
first came to I it's in 1958 and I lived
just down the street and learned to ride
a bicycle and lived on this campus for a
good part of my life um and so um it's
always a pleasure to come back to
building 50 which I know has niad on the
top floor and NHD on the 5ifth and I
don't know who's on the other floors but
those those are the those are two very
important floors in my life um
it's a real pleasure to be here to talk
about science something that I'm not
having a lot of chance to talk about
recently but uh this is I have actually
new data for a paper that's out for
review right now that I'll show towards
the end uh so those moments have been
able to do science are far and few
between but they're very exciting and
they keep me going and they get me up in
the morning so today I'm going to talk
about um epidemiology and genomics in uh
the in individuals who survived or were
exposed following the Chernobyl accident
and this is really a Michael I went the
wrong way
sorry next
okay okay um this is a long-term
commitment in
dcg uh I um became the director 12 years
ago Joe frani had run various versions
of that for over 30 years there's been
over a 30-year commitment to
understanding radiation epidemiology and
you can see people like Gil Bigby and
Elaine Ron and Jeffrey how who started
these studies and we have very dear
collaborators in two institutions one is
imem which is the institute for
endocrinology and metabolism mikolo
tronco and taana banova and then Dimitri
Baza runs the nrcm which follows the
cleanup worker so we have a cohort of
29,000 people who were brought in during
the Soviet age and cleaned up and then
left and we followed them knowing their
do symmetry exactly how much radiation
they were exposed to in what kinds of
conditions um and there's a longstanding
tradition in in dcg itself of
individuals and particularly the last
person Lindsey Morton has really been
instrumental in the studies that I'm
going to talk about right now so I think
you all know about know about the
Chernobyl power plant accident uh April
26 at 1:26 in the morning morning a
reactor 4 exploded in 1986 this was
still Soviet Union and it was the end of
the Soviet Union and this was a highly
economically depressed area and that's
really important for the first story
because the major source of nutrition
for younger kids was milk from cows who
fed in the fields that were contaminated
this was the major source of protein for
younger kids and so unfortunately the
i131 that get spewed is concentrated in
those areas and as you can see here just
is just looking at the Ukrainian map and
Belarus got a very strong uh dose as did
parts of Russia but the key thing here
is really looking at the rates of
thyroid cancer which was the second most
common cancer probably the most and I
say probably is lukemia but most of
those individuals died rather quickly so
the time that it took to set up the INF
structure to be able to follow and
capture and have the you know the the
tumor repositories and the light all
were passed by so the aplastic anemas
and leukemias were indeed missed uh
shortly after the accident but thyroid
is a very interesting organ that has the
real propensity to develop after uh
external beam radiation radiation
therapy atomic bomb survivors so you can
see here um that there that there's an
age aspect the younger you are when
you're exposed the greater the effect of
whatever radiation you're getting like
most things in Pediatrics once you hit
adolesence it's all downhill but here
it's just the opposite because once
you're over adolescence you're much less
susceptible to this if you're exposed as
an 18-year-old is very different than an
eight-year-old um in terms of the risk
of thyroid cancer now ionizing radiation
is a Class one iar carcinogen and as I
mentioned leukemia and thyroid are the
classic ones but we know from
therapeutic radiation given to patients
that certainly sarcomas and other kinds
of skin cancers can come up animal
studies for decades have shown the
double strand DNA breakage with clean
cuts but no one has really understood
what's the specific mechanism how
frequently how does that happen or not
happen so that was really what's dri
driven us to try and understand this
because at a public health level it's a
very important question of sort of as we
go from very high doses to lower doses
how much risk is retained as you go to
lower Doses and at what point do you
maybe not have risk for cancer that's a
that's a big debate and so by
understanding uh an endpoint like cancer
which we also know for instance
cardiovascular disease and particularly
cataracts are very common in individuals
who had exposure after um after the
Chernobyl accident and cataracts are
probably the biggest problem is people
get older um so papillary thyroid cancer
has a higher incidence in women with
thank God a greater than 95% survival
it's a cancer of young adults highly
differentiated and the mutational burden
is interestingly higher in older
patients so there's an age related issue
and how much of this relates to what we
know is the background what we call
clock
mutations signatures one and five that
accumulate in any given cell and mixed
with that I'm giving some of the punch
lines is that this is a tumor that's
driven by one driver just one event
that's very unusual in cancers when you
look at melanoma or you look at smoking
driven lung cancer there can be seven or
eight separate drivers and subclones
that are all uh unfortunately conspiring
so mutational analysis so before had
really shown that the BFF 600 and tur
promoter mutations can actually be
useful for therapeutic decisions so we
undertook this to try and understand
thyroid
carcinogenesis in into radiation induced
tumors is there a complex signature can
we look at a tumor and say this is
radiation based or radiation driven and
this one is not because we know in the
study that I'm going to show you that
there is a background sporadic rate of
thyroid cancer in young individuals and
the question is which ones are truly
driven by radiation and which ones were
going to happen no matter what and I'll
come back to that in the middle of the
talk and does the profiling suggests
therapeutic steps and how does this
inform this is sort of the the
controversial aspect of radiation
epidemiology in the last 60 years
basically since the studies that really
crystallized after following the
survivors of the atomic blasts in
Nagasaki and Hiroshima which we study
and are part of and I'll refer come to
it at the very end for a study and we're
doing a comparable study that Les has
been very helpful with is this issue of
when you get the very low doses of
radiation there's some that argue that
hormesis that a little radiation is
actually advantageous PES for a cell
there are some that say there's no
effect and some say it's not good and
there are lab models that that support
each of these three with different
biases but the question is the clinical
epidemiology is very difficult so how do
you how do you really quantitate and
capture people that live near nuclear
power plants or radiation uh workers or
radiation technologists which we have
big studies of following 40,000 people
who have worked in radiation in in you
know Radiology Labs or radi Radiology
Suites for the last you know 40 years
and this is an unanswered question and
this is one that really drives the
public health questions we know that um
thyroid papillary thyroid uh cancer is
very interesting from tcga in 2014 it
was one of the first tcga papers to be
published and here is What's called the
classic commute plot and this shows a
lot of things all scrunched together and
the thing that's notable here is all of
this is just the genetics so um over the
objection of some of us tcga was done
with virtually no real regard for what
the exposures were and effort to be able
to capture that as well as the clinical
outcomes and we are spending millions of
dollars trying to recapture
retrospectively a lot of that
information and it's how do I say holy
not in the religious sense but filled
with lots of missing data that makes it
particularly difficult to be able to
infer and understand things because we
now know you can use sematic altered
patterns you're looking at mutational
signatures to work backwards in
epidemiology sort of like NCIS you can
go to the scene of the crime the cancer
and say ah this person smoked this
person drank too much this person you
know was exposed to Too Much UV light or
whatever and whether that actually
causes the cancer is another question
that um we'll get to but as you can see
here what's important to realize is that
about 70% of the patients had a point
mutation and they're just in four genes
BFF and then the three versions of Rass
Gene HK andr okay and then about 15% had
fusions um and they're relatively
restricted their fusions in uh genes
that are mapped to the the map kyes
pathway and then about 25% they couldn't
find them they did exom sequencing not
whole genome sequencing in the original
paper
and then there were basically no copy
numbers other than a little bit of 22q
deletion um so we then decided that we
wanted to comprehensively look at and
really characterize the molecular
profile in a cohort that had been
identified and followed after the
Chernobyl accident and put in What's
called the Chernobyl tissue bank which
used to be in the UK it's a uh
International Organization where each
sample each case is reviewed by six
different different pathologist so you
really have a common understanding of
the phenotype we've actually moved it to
the NCI in the last couple of years and
this tissue bank had lots and lots of
samples and so I'm going to talk about
the first 440 cases that we have access
to we have another 220 that are in the
pipeline for papillary thyroid and then
there are other types of cancers uh like
uh papillary carcinoma and then there
are also uh you know adomas that we're
now looking at so this is something that
you know the gift will keep on giving in
our mind so we looked at these 440
individuals who had fresh frozen
pathologically confirmed
PTC um and we did whole genome
sequencing ending up with
374 cancers that met you know the QC
criteria we did mRNA sequencing on a bit
more uh and then we had both non-tumor
tissue from the other side of the
thyroid and then we had blood you know
and a few that are in these interesting
trios that are allowing us to really
explore what kinds of mutational events
may be in the background now the thing
about you know uh this particular study
is um we know exactly how much radiation
each person we have an incredibly good
estimation of how much radiation each
case got we knew exactly where they were
at the time of the accident they were
all diagnosed and had surgery in the
same institution and only six surgeons
over 20 years have done that surgery
according to certain protocols and it's
very very methodical so we have all
these maps in Ukrainian where you know
taking this part of the thyroid out this
size weigh this amount and it's really I
it's really unparalleled in the cancer
world to have such exact detailed uh
pathologic information um and that's
been helpful for some other things and
so um we within this 440 we were able to
identify 81 individuals who were born
more than 9 months after the accident
from a region nearby by I don't have
time to go into the population genetics
but this is all from the middle of
Ukraine and if we look at the pcas this
is a extremely homogeneous region that
uh you know all but two people are very
very similar uh in terms of their
population genetics background if you go
to the to the east where the war is
Raging on they look more like the
muscovites and if you go to the West
it's much more of a combination of the
poles and lithuanians who for six or 700
years had large kingdoms that controlled
a good part of the western part so we
have these individuals who had no
exposure so we in a sense have our I
wouldn't call controls but our
comparison group that's embedded within
this so 359 exposed with 250 Migra um
normally when you get therapy you get
anywhere from 4 to 10 gray so this is an
order of magnitude lower this is what
people would get by environmental
exposure or accidental exposure and this
is what is really worrisome at of Public
Health if there were an accident or a
dirty bomb or whatever these These are
the ranges that people would potentially
be exposed and it's measured i131 which
was one of the main um radio nucleotides
it was released and i131 you know has a
short halflife so that we could really
map out and know exactly how much and
the hard thing also is i131 is
concentrated in the thyroid because the
thyroid uses iodine more than any other
tissue in the body so we know there's a
particularly high dose to the thyroid
per se so we looked at a whole series of
uh genomic variables that we created
from the whole genome sequence in the
MRNA microrna snip methylation profile
and T limmer links with colleagues at
the broad and in our program uh Danielle
karotti who used to be here in an hdri
come over she's been terrific in this
and we looked at all the all the usual
suspects from single nucleotide variant
to microsatellites the drivers you name
it and then we have these wonderful
radiation epidemiologists who have very
very sophisticated programs for taking
the modeling of the radiation exposure
and incorporating the uncertainty
because no one was measuring minute by
minute but with multiple measurements
what do we expect and so the uncertainty
principle is really important in this so
we did multivariable regression models
adjusted for age at PTC and sex and so
this is sort of what I've told the story
in already one way that the accident the
concentration in the fields the cows
drink it the kids drink the milk and
they get D you know what we estimate to
be 20 uh breaks per uh per genome uh 20
per excuse me 20 for one gray exposure
thyroid cancer we know what that looks
like and it's these uh double strand
breaks are really important in
generating the drivers and that's what
we're going to see in the next thing so
here is another commute plot of
r440 but this is organized in a way that
no other one is that's been published if
you look at the top it's by
environmental exposure so the beauty of
this or the really interest is the
integration of epidemiology with
genomics so this isn't just saying this
is what we see when we sequence and
we'll figure out later whether someone
smoked or not so we know exactly how
much radiation and you can see from no
exposure to 1 to 99 migrate to 100 to
over 500 and what's really striking is
down on this line here with I'm showing
the red are the point mutations but the
higher the dose the more the ratio
shifts from point mutation to fusions
and the fusions are with just a handful
of genes all that have at least one of
the participating members from the map
kyes uh um family or pathway so it's
really a very very parsimonious uh kind
of cancer so when we looked first at
after taking the whole genome sequencing
it's one of the lowest in terms of
mutational Burden the Chernobyl thyroid
lower than the adult lower than just
about anything else four orders of
magnitude less than what you see with
smoking or UV where there's just
constant bombard and a lot of the
mutations are due to the environmental
exposures some of them may generate the
mutations that are important for the
cancer but a lot of them are just you
know spread across the background of the
genome per se and we see the map kyes
pathway is what's hit almost exclusively
you know and then when we looked at the
numbers and we were able to use the MRNA
as well as the whole genome we could
find drivers in 98% 93% were a single
candidate driver this is really unusual
there very few pediatric cancers that
are driven by one particular driver now
we see that in the developmental ones
you see that in you know Hep blastoma
you can see that in rabar saroma but not
in uings you not you don't see it in in
osteosarcoma ones that develop later in
life per se so it's a it's it's a really
interesting question developmentally
that we want to look at and ask why the
thyroid what is it about the thyroid
what's going on in the thyroid that you
just need this one mutation and you get
cancer where whereas if you looked at um
all of us in this room and took skin
biopsies you could see many of these
mutations particularly BFF in the skin
of just about everybody in this room
who's had any UV exposure but we all
don't have melanoma we all don't have
basil cell
carcinoma so uh you know it's a to me
that's a really interesting next
question that we're we're really trying
to get out so when we looked at the 176
Fusion drivers the Rett NT kr3 and BFF
in PP ARG these are all things that are
fall into the map kise that are part of
this one particular pathway that's very
important for thyroid development so now
the next thing is we then decided to do
a sophisticated analysis where we wanted
to look at the e that's the excess odds
ratio so what would you expect what does
radiation do so this is where as you can
see the rate of the E per 100 Migra
against the dose that's exposed and we
could see a very strong effect almost
all of these cancers are clonal we don't
see a lot of second and third clones per
se as I mentioned there were a handful
that had two drivers and those you know
there you'd see quote unquote
subclonality we didn't see the two
drivers necessarily on the same strand
per se and they would have you could
separate uh to the best of our knowledge
that and we'll come back when we talk
about the metastases fusions primarily
in map kyes but again these single
clonal drivers are or a hit at the wrong
time so the cut of the DNA is taking
place and if particularly since fusions
are over represented the higher the dose
of radiation it's that single dose that
hits and creates that particular driver
and this is something that really really
validated what there were lots of early
reports in the late 90s of like eight or
10 or 12 uh cases that were brought out
of bellarus and and out of Ukraine where
they saw these retti mut s or our Fusion
drivers but they were really anecdotal
they were important but we had no idea
how and what breadth and what
comprehensive aspect of that so that's
that's an important part of this story
in our minds um so we then looked at the
single based substitutions thinking is
there radiation exposure signature and
the answer is no we see the clock the
so-called signature five which we still
don't understand the origin of whereas
one we know is the SE
you know a very a very set interesting
you know biochemical change and
otherwise sbs8 which is unknown which
shows up in most other cancers as well
particularly pediatric cancer so it
raises an interesting developmental
question we then looked at the small
events anything more than one base when
you go to those and we could see that
id8 and id5 certainly showed up when
were very strong insertions and
deletions so then when we said this
question all right radiation Associated
molecular characteristics Mike Stratton
and Company had looked at 12 tumors of
mixed types that were clearly driven by
radiation and they saw lots of
inversions and deletions the same time
we published our paper there was a paper
from a German group looking at 190 post-
radiation recurrent gomas that's kind of
brain tumor they saw the same thing an
increase in deletions more than
inversions per se again a small size and
then in RS we could clearly see that as
well and we could do this here I'm
showing the data normalized against the
background of snvs sort of trying to
take out the clock mutations because
there are occasional uh inversions and
deletions in the clock uh program per se
but they're a very small fraction so but
we presented this as particularly a you
know a normalized fashion um so the
structural variance we could see these
increase SVS with quite substantial and
they look to be mostly simple balanced
SVS okay so in Pediatrics about 40% of
the drivers that are fusioned are very
complex where it's a very large part of
a chromosome gets connected to a second
and there may be a third one attached to
that or that if they're just two parts
of a chromosome or from two different
chromosomes coming together there's a
deletion or insertion of hundreds to
thousands of bases here again it's this
notion of the clean cut that we could
clearly see evidence for so we can't see
evidence for these complex or the simple
unbalanced um and this was really
important because then we said all right
what's we have the fusion from the RNA
we have the DNA fully sequence we could
go look at each and every one of the
fusions and say what does the
characteristic look at will that help us
to understand what particular mechanism
is actually disrupted and the answer is
yes we could do that we could see enrich
for non-homologous and joining with the
vast majority of the simple balanced
having very very small events around the
way they would literally fit together
and so you know knowing that there are
multiple variations on the repair
mechanisms um I'll I'll run to that but
you could see for less than 20 base
pairs of intervening loss we had a high
fraction had four or less bases and
there was a mixture of a few with four
to 19 but was really quite striking to
see that and when we looked at this
again again having this opportunity of
having the epidemiology and the do
symmetry knowing exactly I mean we all
we also know you know the incubation
period from the time of all these people
were exposed April 26 to some point in
May and then when their cancers
developed and or at least when they were
diagnosed with their cancer as a as an
end point when the surgery took place we
could look at that and you could see
that the the microhomology analysis for
the what we saw in the less than five
base pair events really correlated with
the radiation so with the more radiation
the more of these events are going on
throughout the genome but particularly
they're important for those
circumstances where they generate an
actual driver and then
um we you know with this primary
analysis we you know we know that double
strand uh braks are important and no
radiation dose relationship for SV and
SPS and Driver genes um or particularly
we were surprised with transcriptomic
and epigenomic profiles I'm not going to
go into that in detail but we really
couldn't see it it turns it's either Ras
or raft that drives what it looks like
so once the tumor starts the tumor takes
over and if there was thetis of the
radiation it would be left behind you
wouldn't see it in the methylation
pattern and you certainly wouldn't see
it in the expression pattern which is a
little bit different from what you see
for for instance we have this big
program in Sherlock lung where we're
sequencing 2,000 non-smoking and then
there are about 5,000 in the literature
of smoking and you can see the residual
of smoking in the RNA expression uh and
in the methylation here these are such
parsimonious uh hard driving tumors so
to
speak okay um so the question is coming
back here is there a way to determine
whether there's a radiation
characteristic or set of those those so
we then decided to look at specific
tumors caused by radiation can we find
Reliable biomarkers we could see these
differences in gene rearrangements
versus the sporadic in those tumors yes
but that's not going to answer at all we
could see this from the Japanese data
following uh following the atomic blast
but not Fukushima I'll come back to that
a little bit later um and then we could
sort of see how these different kinds of
things really were laid out in in the
past here okay uh from previous studies
that I'd mentioned so the age the tumor
of initiation the clonal clock we know
clonal clocks are going all through life
in every cell per se so the question is
can we use those to be able to identif
with the mutations that we have and the
insertion delions can we sort of develop
a profile that would help us to say with
with greater and greater certainty that
this is a radiation induced versus a
non-radiation induced the one thing I
neglected to say earlier was fusions are
also more common the younger patient
even in the sporadic cases so if you go
to the Philadelphia series of Andy Bower
and Amy Franco of 135 cases of PTC the
younger the child the greater the
likelihood they can have fusions not at
the rates that we see necessarily in you
know post Chernobyl but there is an age
element to this that if you're going to
develop PTC and you're younger uh
there's a there's a greater propensity
to have a fusion driver as a opposed to
the bff or the RAS point mutations
driving it so here we know that these
events certainly can occur around at the
time of you know the tumor initiation
that's what we think of as driving the
event due to radiation but it's also
plausible that some of these events the
radiation may have taken place and then
at a later time they're developing a
Cancer and can we separate that or
similarly did they already have a Cancer
and then the radiation occurs and we're
looking for you know that was a sporadic
case it was already started and it just
happens to be they were in you know the
Chernobyl region and can we use these
you know these set of of markers
particularly the clonal clock one and
five to be able to determine that the
answer is yes we can so if we look at
those individuals who have two breaks
less than 20 base pair gain or loss you
know what I mentioned before is really
radiation related we can see the age of
the exposure in relation ship to um
their clonal clock mutations and the
accumulation so this makes sense so to
speak if we then go to the more
complicated versions of of mutations
that are seen and granted there in
smaller numbers and particularly the B
rafts we can't see the distribution of
clonal clock in any way statistically
lines up in other words as a as a
regular accumulation either the tumor it
was at the time of the tumor or just
shortly before within a year or so that
someone was starting that way and the
radiation may have actually induced that
per se so that's important and I already
mentioned the transcriptomic analysis
that we can see these things are all
driven by the driver not by the
radiation dose and similarly the
methylation I forgot that I left those
in so I can't come to NHD and not talk
about the germine for a minute it won't
be very
long on this project but when I get to
the other projects it'll all be about
germline okay so so don't there will be
germine discussion um so we looked at
the PRS interestingly enough thyroid is
one of the the diseases that has a very
high um heritability so if you look at
the gwos the genomewide association
studies for common variant it's like
number three out of 35 cancers that the
you know can be explained by Snips per
se you know CLL and testicular cancer
are the numbers one and two a multiple
myom is not far behind and there others
like esophageal squis and um and bladder
cancer that you we we can infer from our
larger studies and you know and and
projecting based on a large Goos that
we're not going to explain much of the
heritability by Snips per se these are
diseases that are going to be driven by
other things but the PRS is very
powerful in thyroid cancer and so what
was interesting is we took the known PRS
there were only 12 and what was
interesting is is in inverse
relationship the PRS was lower in
individuals who had more radiation now
this isn't statistically that exciting
in my mind but what it what it suggests
is to me that that that the genetic
burden could be important for the
sporadic but not for the PRS is not
operating or in any way responsive to
the radiation per se now these 440
individuals we combed looking for any
and every possible secondary finding any
possible Gene that had been implicated
of 150 cancer predisposition genes not
to mention 400 other genes that have
been implicated in radiation biology you
hear about them when I talk about clonal
hematopoesis in about 10 minutes but we
couldn't find germline mutations in any
of these individuals granted it's only
440
individuals um and we have like another
300 that are in the pipeline right now
and with whole genome sequencing it'll
be interesting to see that one of the
other things that was really remarkable
with this with the imem group is just
the care of the Clin the clinical care
and the followup allowed us to look at
metastases so the clinical annotation
all these patients are followed for life
in this particular place and I will tell
I'll digress for a second but when the
war broke out in
22 um the there was a terrible
disruption of the pharmacies in the
Ukraine and we have these contract s
with our ukrainians and they follow you
know several thousand particularly young
women middle-aged women with thyroid
cancer who' had thyroid cancer and they
didn't have thyroxin so we took out our
credit cards bought in in Poland $9,500
worth of thyroxin twice and had it cross
the border and go there so that for a
period of time they had thyroxin but
it's a you know they we have a very good
relationship with them and they're very
good at following all of the the details
and we could see that you know Advanced
disease is associated with larger tumor
size in
multifocality but when we then had 47
Mets available to us from the same
individual we were able to sequence them
and they looked pretty much identical to
the primary there's one that wasn't and
that's because they're about 2 to 3% are
multifocal and the met that we actually
chose happened to be from uh a different
primary you know there was a different
primary that when we went and looked at
it we could at least see that particular
driver mutation but it's an interesting
thing that when Mets occur in the in the
cervical region they they really are a
spread of this particular tumor so we
don't see some of the things that people
are interested in in in brain tumors
interestingly enough the Mets are
particularly we see them with fusions um
uh more often than we see them with
point mutations and this is something we
we published last year and we also know
that the genomic architecture allows us
to really see that the the Mets occur
for different reasons sometimes there's
a primary monoclonal that is metastic
monoclonal others that is primary
monoclonal where the metastasis looks to
be polyclonal where in other words
there's subclonality in the samples that
we had and then the primary polyclonal
leading to a monoclonal spot somewhere
else we have a few instances of those
and we're following up on that right now
we have a fair amount of sequencing
going forward on that so our priorities
are to go deeper into the
characterization of radiation and PTC
characteristics we have another 215 ffp
and another 100 fresh frozen that are in
various stages of our pipeline analysis
and we're working closely with the
groups in in Toronto and and
Philadelphia about this age issue
because this is we can see a strong
radiation effect but we can't say that
age is not a a contributing factor to
this and we you know have to be
realistic about that um so single cell
RNA attack is going on right now because
one of the things we're really
interested in is why and what's the
vulnerability of the thyroid why this
one mutation why is radiation hitting
there and doing that whereas there are
many other organs that get radiation and
don't necessarily go on to sort of
monogenic uh sematic mutations that are
driving particular cancers um so we are
also looking at sematic alterations in
the normal tissue with um double
stranded sequencing with um right now
with lud Mill alexandr out in um UCSD
and then we've just started with a
number of centers looking at those kids
who got radiation therapy the older
pediatricians will remember when the
kids with Al would get treated with
cranos spinal 1 12200 or 1800 RADS uh as
prophylaxis against
uh CNS disease that's gone its own way
we also have uh we're just finishing a
study of about 150 individuals with PTC
from the World Trade Center cohorts in
New York where that we don't know of
radiation of i131 but again as as being
a significant issue per se it was so hot
that some people think that there were
different radio nucle tiddes and there
is some debate about that but we've
jumped in to at least do the genomic
care ization to see do we see features
that would help someone sort of
epidemiologically think backwards on
this or and be asking the question of
what would be the driving force in that
um so that's it for the PTC and
particularly Lindsay and Danielle and my
former oxcam uh graduate student Eric
Dawson who you know now at Nvidia making
obscene amounts of money programming
things and coming back and helping us
I'm going to talk about something these
help us you know out of the goodness of
his heart I mean it was a wonderful Ox
cam I know elen you used to run that so
he's one of we've had three or four
terrific oxcam people so the next thing
I want to talk about is in this setting
we designed a family study to address
this question of transgenerational
effects of protracted radiation exposure
following the Chernobyl accident so this
is a study we wanted to look at the novo
variant sorry I thought I corrected all
this sles less cuz we had this
conversation in the fall and this one I
missed I'm sorry denovo should be denovo
variants not denovo mutations and adult
children born to Liquidators in evacuees
so we had a family design um where which
we published in the American Journal of
epidemiology so we've now collected over
two 290 families but the first paper
that we published uh four years ago was
105 families with 130 children all born
more than One calendar year after they
left the Chernobyl area we know exactly
how much the mothers and or fathers were
exposed we did short read very high
coverage adx I didn't we didn't want to
miss anything and now we have the 290
with the clonal hematopoesis study in
progress I'll talk about but we've now
extended this a bit more we know denovo
variants are very important for risk for
a number of pediatric diseases autism
certainly top one of the top of there
but certainly some of the catastrophic
pediatric developmental disorders and
certainly the icelanders have been you
know out front in developing some of the
pipelines it's an it's an essential type
of variant that due to random mutations
for the most part now there are you know
there are these ve interesting group
about select genes where there may be a
higher predisposition for a mutation per
se but that you know that's a again a
very small fraction of that but these
variants are generated by classical
Pipeline and that's how the icelanders
and how Ben Solomon when he was with
Wendy Wong and company over iova did it
and would see between 40 and 100 uh that
would increase with the age at
conception newly appearing variants are
known as denovo variants and to do this
you have to see both the parents and
then say this only exists in the child
and that's a lot of QC activity and it's
a critical step in evolution because
this is how new variants are introduced
and can be selected in populations or
deleted per se um and and particularly
when you think about all of the you know
um the mutational signatures and and in
Primary Pediatric diseases that we see
Den Nova variants are really important
in pediatric cancer it may be that 20
25% of bone tumors osteosarcoma are due
to denovo variants arising in families
with very strong pathogenic
mutations all right um prior data on the
transgeneric generational effect due to
radiation certainly has been there with
animal studies where they would get two
to four gray which is a pretty high dose
and evidence of DNA uh repair
non-homologous enjoining with some
structural and chromosomal events and we
know that fish is is used in the
commercial world for following uh people
that work in the nuclear uh Reg at in
nuclear power plants that they have
blood drawn periodically and if they
have chrom there are like six
chromosomes if they by fish have
rearrangements in those then they're
considered to have been exposed too much
and either stop or they pause for a
period of time but um there had been no
real good human studies using whole
genome sequencing particularly for lower
protracted dose exposure and
particularly the ability to look at in
micro satellites there was originally a
paper of Nagasaki of Three Families
highly anecdotal very interesting and
we'll come back to that so when we
looked at our 105 families we could see
the distribution followed exactly what
had been published in all the other
papers from Denmark from Virginia from
Iceland you um you know and and the real
favoring of a c te which is you know the
really the Hallmark of of mutational
signature one which occurs most fre
frequently because of the biochemical
thing but we were able because we had
the radiation exposure to look at the
age of the parents obviously and saw
that the paternal effect is very strong
and the maternal was just borderline
overall the radiation we did six
different ways I'm just showing you the
one that seems to make most of the
radiation epidemiologists happiest
that's what we put in the primary table
but in the paper there are five other
ways in the supplements we presented it
with three and of course reviewers
wanted two other ways and we put them in
you know it's always you want to have a
happy family when you do that and we
looked at whether smoking or alcohol was
also part of this and we did not see
that so there was no difference in
mutational distribution between the
Chernobyl trios and populationbased
studies when we looked at the different
types of events from clusters and
complexes to indels to micro satellites
snvs we couldn't see any of those
subcategories so to speak of genetic
events enriched due to radiation
exposure you know they all had the the
paternal effect uh to varying degrees
and this we were too small in this study
and we've been corresponding with the
icelanders about sort of asking the
question is that paternal effect more
important for micro satellites versus
snvs per se and micro satellites have
gotten more interesting but when you can
look at the parent of origin estimates
based on flanking Snips per se we could
actually see now the maternal effect and
we know that about 42% of the dnvs we
can assign to either mother or father
and the more recent study just about to
come out of um Iceland suggests that 18
to 20% of the events are are maternal
and this is you know this the old shth
that you know the SP spermatogenesis is
going on continually whereas the eggs
are basically set at the time of birth
well there is obviously some turnover if
there is this these kinds of events
taking place and so it raises a really
fundamental interesting question that I
don't have an answer for so we had done
this by going through maternal paternal
child going through a series of um of QC
steps and we actually reviewed every
single one we looked at the igv of all
of them so Meredith jger and Mike Dean
looked at hundreds of them you know
excluding some
and they each did it independently not
knowing the radiation and then crossed
their their data and they were about 96
97% congruent between the two of them
which is reassuring for looking at this
kind of data so we then have now turn
this into a pipeline that we're just
about to publish and we've done this on
a different study of I'm not going to
talk about right now a smaller study in
Brazil there was an accident where this
uh basically this vessel with cesium
dropped off the back of a truck in a
relatively poor part of a city and a
number of people came and picked it up
and children played with this and so
there we I we've been sent a number of
those families and we are doing the same
kind of study and so we use the new
Pipeline and what we're able to do is it
helps us to be able to identify indels
and micro satellites at a higher rate
per se so we've gone back and we've done
this on our Chernobyl 105 we see no
difference statistically radiation is
not in our minds associated with a
higher risk for any of these kinds of
events it's just we now particularly the
micro satellites we can get and and as
people are now starting to use pack bio
sequencing and we're going to be doing
that on some of the families where we
see some very complex things just to be
able to better sort of pull those apart
we we will do that but uh we're very
excited that this is now more automated
than it was before because the 105
families took Mike and Meredith
literally four or five months of just
continually looking at igvs and that
well I'd be crosseyed if I did that uh
but uh God bless them for doing that so
our study considerations I think it's
important to realize that we've looked
at peripheral blood and this is in adult
children so there is a Survivor bias but
not much of one I mean again we're
looking at parents who had doses that
were less
by and large less than one gray extended
over a period of time so we didn't have
parents who who had the leukemia or a
plastic anemia because they got four or
five gray went to Moscow and died within
a short period of time but then but
conceived a family beforehand so uh
there is a bias but this is an important
Public Health message for particularly
Japan and I'll come to that in a minute
so um we're we're you know we're moving
forward with this and we can see that
the risk of Del arious dnvs is probably
very small if at all I mean if there is
something if there is a pediatric
developmental thing it's probably more a
random as opposed to radiation driven we
had adequate power to stratify
substantive increases in DMVs in adult
children um and we've done epigenetics
as well and we really don't see much in
the way of what happens in the family
the doses were lower and extended and
this is important because when we put
our paper into science there was one
view were who insisted that we put one
sentence in and he or she wouldn't allow
it to go by until we said there's an
interesting alteration in the balance
between new gonadal DMVs and DNA repair
and this may be you know there may have
been some repair taking place and and
it's it's an interesting question animal
models this is a highly debated issue so
since then the in Britain they looked at
60 families who were nuclear test
veterans who had been in some of the
islands in the Bikini atal etc for the
British testing you know and they saw no
increase in
DNM um and this has been really an
important study once we publish this I
still go to aacr I get multiple requests
for interviews from the Japanese press
because of Fukushima because remember
Fukushima had doses that are about one
tenth of what these individuals in the
Chernobyl saw and what's interesting
though is one of the major reasons that
people have not moved back into
Fukushima which now about 12 13 years
ago is parents of or individuals of
potential Parenthood were worried about
mutational events and didn't want to go
back and have children because they
would have mutations and you know this
is something that's really been hard to
convince the Japanese because the
right-wing press had seized upon this
and it's really hard to dislodge that uh
the timing of the radiation could be
critical and we have more families that
uh don't really show as significant
change I um there were just sort of a
final stage long read NGS of lower of
highest and lower doses is going on and
the I already mentioned the Brazil but
we have this big study that been trying
for 12 years at RF and God bless Les to
actually go there and assure them that
they can have secondary return of
results which is a really hard thing for
the Japanese to get their hands around
but there's a study of five 80 families
where they are sequencing
60x and uh it will be very interesting
there's different radiation Fallout from
that and the exposure curves look a bit
different but it will be very
interesting to see this and they're in
the process of doing their first
sequencing we're looking at some of the
QC of that so um we see this as really a
a very important kind of study so the
last thing I'm going to talk about for
just about three or four minutes is
acquired sematic mutations Al mopis and
chromal mosaicisms two ends of the
extreme I mean we were we were the first
out of gooth to show the chromal
chromosomal uh aberration back in 2010
and they occurred about half to 2% of
the population boy sorry
um oh this is I'm trying to go back in
time
sorry um and what I want to say is that
we knew that inherited environmental
factors increase particularly clonal
hematopoesis and so Kelly Bolton another
terrific graduate of the oxcam who was
in my program 10 years ago was one of
the leaders of clonal Mapes has been uh
instrumental in in these studies she had
published a study looking in nature
genetics in the slown ketering
experience andin seen increase in in
clinal map poesis of indeterminant
potential
in the expected genes but increased in
individuals who'd either received
radiation therapy or high therapeutic
doses so in other words the you know
these very strong environmental
exposures increase the risk of Chip so
we wanted to know at lower doses as you
would expect in Chernobyl can we see
that so we went to our Liquidators and
we have a target of over 2,000 that were
doing this but we started with these 290
families with the mothers and fathers we
also have the children um and the
objective was to look at the frequencies
and types of CH and does environmental
radiation exposure increase either the
chips or the uh Mosaic chromosome
elaborations and are they risk factors
for cardiovascular disease cataracts and
diabetes because we follow these cohorts
and we can look at non-cancer outcomes
and that's something that as the numbers
get larger we'll be able to do so we've
now done 581 of the target 2000 higher
doses in the fathers than the mothers
and um this is a THX of 620 genes all
the expected known CH genes and anything
ever implicated in radiation biology we
put on that list wondering if any of
them would do this and then we also did
the GSA version 3 Cho so the association
here we have red marrow doses okay which
is different you know do symmetry has to
think about different body parts getting
different kinds of radiation exposure
and um in this study we've done the uh
red marrow dose and what's interesting
is we don't see any real effect of the
red marrow dose and having an increase
or decrease by E so far with our first
uh 580 individuals we I'm presenting the
fathers separately I the mothers I
didn't they have lower doses because by
and large 90% of the Liquidators were
men who were basically conscripts sent
in by the Soviet government to go clean
up not told much not trained well and
had extensive exposure whole body
exposure so this is of particular
interest to us so when we looked at the
children we saw really no appreciable CH
or MCA and we think this is informative
because there really haven't been
studies of young adults and children for
clonal hematopoesis and the the big
question in clonal hematopoesis are
these events early and they're
suppressed because you were really good
at holding back some something or is it
because your DNA repair as you get older
starts falling apart and you generate
them later in life so the fact that we
don't see anything with thousand neck
coverage on you know
330 30 year olds um to speak of is
interesting and we're going to continue
to do this and and you know that's an
important sort of pediatric observation
I'm not saying it either makes or breaks
the story but it's an important thing
that to fit into our trying to
understand how and why clonal homat
leases emerges in in what age group and
and to what degree so having the
Thousand X gives us those vals okay so
for this work certainly Meredith jger
and Mitch mcka and Amy have been
marvelous but many others and um I'll
finish by just saying that here in dcg
we do wonderful training and we have 100
120 fellows at any time and I guess
their questions and um dcg does lots of
exciting things we love to collaborate
okay
a I don't have any online questions yet
so if there's questions in the room
please I would have thought I would have
predicted that chip was not going to be
responsive to the low radiation was that
your prediction also um yes but you know
we we need to is a sufficiently large
number just like our transgenerational
there people say well why are you doing
this if you don't see the effect this is
where genomics and public health really
do intersect we need to know this
because there is lots of lowd dose
radiation exposure and there may be more
either planned or unplanned and we need
to know what that really means for
subsequent Generations but I I I agree I
I didn't expect to see a whole lot I
wondered whether we'd see some different
genes per per say as opposed to the
usual you know methylation uh D repair
you know p-53 T 2 axle I was surprised
that we didn't see anything but what has
already been described in the adult
population thank
you very cool um very cool actually
about getting the Synthroid to them
that's really neat um what are you doing
with secondary findings in in the
ukrainians how how in the world are
those being followed up well it's an
interest it's an interesting question so
this is we started the study like in
2017 2018 and the IRB there viewed this
as a purely research finding so we're
having new conversations about this
because because at least the nci's
position is if it's an IRB and it's a
truly research study then the return of
secondary results is not necessarily
required okay and this is hotly debated
in different places I realize and the
Ukrainian no no and we're talking about
unless you and I may not go to the
Ukraine for a while once it settle down
we may go I mean I go periodically but
haven't been since 2020 and I have no
intention of going till I know the
missiles are not firing but I think the
it it is a an important question the
Japanese are clearly doing this because
they're doing it in a clinical way their
their IRB protocol is telling the
patients you're going to get this back
whereas um you know in the Ukraine it's
much more post Soviet you know you how
much information you get what you give
back is much more restricted I mean we
have studies in the bellarus where they
don't tell them anything and we say we'd
like you to be able to share the overall
results of thyroid and now we have a big
breast cancer women who are exposed to
the Chernobyl accident seem to be having
an increase in breast cancer because
lactating breasts take up a lot of
iodine and you and so you know part
women at that time could be a real risk
they won't allow us and they won't go
back and tell anyone that I mean it's a
it's it's a very different world but I I
think we will get to the point of uh
return of secondary results but it'll
take some time I do have another
question that's completely different um
so given that there are some experts in
cancer in dogs and radiation therapy I
wonder how how have you convin we've
talked Elaine has come talk to usal dog
exactly and uh absolutely I mean the the
Chernobyl wild dogs are very interesting
because they survivorship and the
generations are so short you know we're
now looking what six or eight
Generations out 15 sorry okay yeah so
the question is a transgenerational
effect would have been selected you it
would be hard to know what the denovos
are at this point dogs have lower denovo
rates which is an interesting thing I I
yeah I I learned that really relatively
recently someone wrote me a question and
it Purdue what the wonderful woman de
deap
yeah hi Paul very nice talk uh so I have
a question about the chip that part of
study yeah so you mention those don't
have chip but have you look at overall
mutation low mutation burden in those
patients I mean in those well well we're
looking at we're looking we're looking
at 620 genes with you know targeted
sequenc in Thousand X right we don't I
mean in terms of having background like
uh uh synonymous variants Etc well yeah
yeah I you know it's a great question I
I don't know the answer they may have
already generated that but we haven't
talked about in our data in the paper we
sent in we didn't talk about synonymous
and you know like I showed you with or
or other G not in those 600 G well but
those are the only ones that we have a
THX coverage we have eight ex coverage
in 440 cases of of thyroid cancer and
then we're getting data from um couple
population geneticists of five or 600
whole genomes across Ukraine just
because they're interested in looking at
some some interesting questions of the
population genetics and could the
radiation be related to l1s and things
like that right because the contact is
radiation may cause overall mutation
increase but there selection because as
you that these are younger yeah
individuals so they may be selected
against I mean in the we don't see a lot
of point mutations that that's the thing
the smv load is very low you know I mean
it's basically clock background mutation
that you would see in any normal
population at basically that rate
another
question yes I just have a brief
question on how you defined adult
children for the study what the cut off
was there there are 30 years old and
older basically because the study you
left between 87 and ' 92 and we started
recruiting this entire study in
2017 and so the latest anyone had a
child I think the youngest was 28 or 29
so adult children from these family
trios but not kids as a pediatrician I
let me make that very clear sorry if I
misspoke it's all right I I get it now
thank you my other question is I know
your focus is on thyroid cancer but what
what I'm interested in why not other
cancer right it they for example some of
these children were exposed at really
young age right but it's interesting
they're not other types of cancer
correct now the so after the the
accident and it was seen pretty quickly
based on sort of old Israeli and US
Israeli data from giving uh kids with
seic dermatitis radiation to the head
and then the all experience of cranos
spinal
prophylaxis that there was a focus on
thyroid so we have a bias in that the IM
only was looking at cases that were a
number of them were screened multiple
times or followed there were three
different cohorts uh focused on thyroid
now the background rate of pediatric
cancer is relative is far too low to
have to have anything appreciable show
up other than than anecdotally one in or
two in in these kinds of numbers there
was no sort of pediatric cohort set up
after that as I mentioned there were a
number of kids who had alll and a
plastic anemia some of them were sent to
Moscow and some of them never made it um
out of preiato that area just because
this 1986 and the the medical system was
pretty uh pretty Spartan and this is a
Soviet Union falling
apart thank you
great thanks everyone I appreciate that
and and you more questions afterwards
yeah meeting with with train
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