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Life Science Connect and we're here to help . Dr
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Brian Fisk wasted no time moving from
0:42
academia to industry . In fact
0:44
, his academic and industrial pursuits
0:46
show quite a bit of overlap . His
0:48
PhD work on cancer metabolism
0:51
made immediate impact on the clinical
0:53
development and ultimate commercialization
0:55
of at least two drugs , and
0:58
, judging by the entrepreneurial decisions
1:00
he's made since then , he seems intent
1:02
to double down on those wins , with
1:04
a current focus on antibody
1:06
drug conjugates . I'm Matt
1:08
Pillar , this is the Business of Biotech , and I'm delighted
1:11
to bring you Brian Fiske , who now serves
1:13
as Chief Scientific Officer at
1:15
Methic Therapeutics , the company
1:18
he co-founded in 2016
1:20
, and one that's currently embarking on a
1:22
phase one study of its lead ADC
1:24
in non-small cell lung
1:26
cancer . Dr Fiske , welcome to the show
1:28
, thank you .
1:30
Delighted to be here .
1:32
It's my pleasure to have you . It's
1:34
great to see you again . Dr Fiske and I first met
1:36
at JPM back in January
1:38
and made plans to get back together and record
1:40
an episode on what's going on at Mythic . So here
1:43
we go . Before we jump into the Mythic
1:45
story , dr Fiske , I want to get some background
1:47
on that mention that
1:49
I made about sort of your overlapping
1:51
academic and industrial pursuits
1:53
. It's unique , I think . I mean I've interviewed
1:56
hundreds of founders and CEOs
1:58
of small biotechs and
2:01
often there's a much more
2:03
clear line of demarcation between academia
2:06
and industry . You earned your
2:08
PhD in biology
2:10
from MIT in 2015 on
2:12
the heels of a Harvard undergrad in biochem
2:15
. That PhD
2:18
you're going to
2:20
clear this up for me During and
2:22
prior to that PhD , you gained
2:24
experience at Bain , massgen
2:27
, flagship Pioneering and Agios
2:29
Am I pronouncing that correct ? Agios Pharmaceuticals
2:31
, agios , agios , agios
2:35
Pharmaceuticals . So tell us about
2:37
that . Tell us about what looks to me like this pretty unique
2:40
combination and overlap of
2:42
academia and industry
2:44
.
2:46
Absolutely Well . You started
2:48
with undergrad , so
2:50
maybe we'll go there first . Yeah , and
2:53
in undergrad I studied biochemistry but
2:55
also did some work in applied math
2:57
and economics . And I think if
2:59
you had asked me back then
3:01
what I wanted to do with my life
3:03
, it would have varied week to week and I would have either said I wanted to do with my life it would have varied week
3:05
to week and I would have either said I want to go
3:07
be a scientist , be a doctor
3:09
or do something in business , and
3:12
I had the opportunity
3:15
to do an internship after my junior year
3:17
, ended up at Bain . I ended up going to
3:19
Bain after undergrad and
3:22
I think I chose
3:24
that direction , at least initially to go into
3:26
business you know , general management
3:28
consulting because I wasn't ready
3:30
to make a decision on those three things
3:32
and it seemed like the least committal
3:35
path . Yeah , realized
3:38
pretty quickly that I
3:40
wanted to go back . I wanted to go back to school and
3:42
get my PhD in science
3:45
and take that route . And
3:47
as a step on my way there
3:50
, I spent a year as a
3:52
lab tech in my
3:54
former advisor's lab , dr David Fisher
3:56
, who's the head of dermatology at MGH
3:58
. He's been a fantastic advisor
4:00
and mentor to me over the years , advisor
4:08
and mentor to me over the years and , yeah , left being left my six-figure job there and took
4:10
a giant salary cut to go schlep tissue samples around
4:12
MGH and make cell lines . And it was fantastic
4:17
preparation to get my lab
4:19
feet under me for a year before
4:21
going to grad school . Yeah , while
4:25
I was in grad school I decided
4:27
to join Matt Vander Heiden's lab
4:29
. Matt at the time
4:31
it was his first year as a professor
4:33
and I was his first student , so
4:35
maybe that speaks to some entrepreneurial
4:38
vision . Starting
4:40
a new lab in academia is not dissimilar
4:42
to a startup ?
4:44
Yeah , and did you ? Were you conscious
4:46
of that when you , when you made that decision
4:49
and found yourself in that situation ? Were you conscious
4:51
of of sort of the entrepreneurial parallel
4:54
, or was it just like , hey , this is a cool
4:56
opportunity , and that that acknowledgement
4:59
came later ?
5:01
I think so . I think so . I think you have
5:03
, um , you
5:05
know there's . There's an aspect when you go
5:07
into a new lab , there's an aspect of focus
5:09
, but also an aspect of flexibility
5:12
. I mean , in your PhD you're driving
5:15
a lot of the work , but I think in a new
5:17
lab you have a lot more flexibility and a lot more
5:19
impact on what the rest of the
5:21
lab is doing , because
5:23
you are the lab to start
5:25
. So , yeah , I think there are
5:27
a lot of parallels and I was probably attracted
5:29
for the same reason that I'm ending up , you
5:32
know , being a founder at Mythic .
5:33
Yeah , yeah , all right . So that lab experience
5:36
, I think you know , even along
5:39
with sort of that entrepreneurial
5:41
exposure of building
5:43
out a lab that didn't previously
5:45
exist , the result of the work
5:47
you did in that lab also , if I'm not
5:49
mistaken , if I'm reading this correctly , the
5:53
work that resulted from that
5:55
lab work also contributed
5:57
to , it seems to
5:59
me right , the acquisition
6:02
of the taste for drug development
6:04
and industry . Would
6:07
you say that's a fair assessment .
6:09
Yeah , absolutely To be clear , I ended
6:12
up consulting for Agios , and
6:14
so Matt was on Agios'
6:17
SAB and also contributed
6:20
to some of the programs
6:22
there , and I had colleagues who were
6:24
working on projects that were directly
6:27
related to IGOs . I wasn't
6:29
working on anything like that , but um
6:31
, I had a lot of skills
6:33
in um doing
6:35
so-called hot experiments , radioactive experiments
6:38
and doing um mass spectrometry
6:40
based metabolomics where
6:42
I got into some collaborations with Agyos
6:45
and essentially ended
6:47
up consulting with them for two periods and that
6:49
was super exciting . That was my first
6:52
taste of real entrepreneurship
6:54
, where when I did my first stint with
6:56
them , they were 30 people , mostly
6:58
chemists , working
7:00
on trying to find a lead drug , and then , when I came back
7:03
a year later , they were 130
7:05
scientists . They were in
7:07
phase one . They were seeing some fantastic results
7:09
for really sick patients and
7:12
it was so amazing to see what
7:15
had been done in only a year and just
7:18
got really inspired to do something
7:20
, get involved with something that looked like that .
7:22
Yeah , yeah , when did
7:25
? I ? Don't want to jump ahead if I
7:27
got the chronology wrong , but when did
7:29
flagship come into the picture ?
7:32
Sure . So , based
7:35
on my experience at Adios and again thinking
7:38
gosh , I really want to do
7:40
something that looks like that , get involved in some way
7:42
with something that looks like an
7:45
Adios and ends up having an impact
7:47
on patients and building a really exciting company
7:49
, I started to reach
7:51
out to my network because it wasn't clear
7:53
at that time that academia was going to be the right
7:55
thing for me , the right next step for me . So
7:58
what would it look like
8:00
to work in biotech ? And the advice that
8:02
I got was hey , as a junior person
8:05
, your career
8:07
is going to be inflected by
8:09
how well the company does right . So
8:11
if you show up at a small biotech and this small
8:14
biotech does super well , you're going to have a
8:16
ton of opportunities to grow . If you
8:18
show up at a small biotech and it fails , that's
8:20
okay because you're a junior person
8:22
and no one's going to blame you for the failure
8:25
of the biotech , but you're going to have to go somewhere
8:27
else to get those sort of growth opportunities . And
8:29
so that immediately
8:32
brought the question to my mind of okay
8:34
, how do I find and
8:36
start ? You know , figure out what a great biotech looks
8:38
like , and people would give me the answer
8:40
as well , you should go talk to the CEO , or
8:42
you should think about the science
8:45
and whether you think it's going to translate
8:47
into the clinic , and my
8:49
answer was gosh . I don't know how to do any of those things
8:51
. So I
8:53
got really interested in the question
8:55
of what makes a really great biotech
8:58
, and that led me to Flagship
9:00
, because I felt like Flagship was a place where
9:02
they were creating multiple biotechs
9:05
in the same place at the same time
9:07
, and that I would get some experience
9:09
to try to figure out what works well
9:11
and what doesn't work well when you go out and start
9:13
a biotech .
9:15
Yeah , definitely a good sort of
9:19
petri dish to play with those concepts
9:21
at Flagship A lot of opportunity for that . You've
9:24
mentioned , though , a couple of times so far in this discussion
9:26
. You've mentioned a couple of points where
9:28
it sounds like you
9:30
, you know , personally sort of had to pause
9:32
and think about what you were doing
9:34
, what you wanted to do next , like you talked about
9:37
at Bain , you know , I'm
9:39
not sure you know just
9:41
whether or not this is where I want to stay , or
9:48
it took you a while to determine . I want to go back to academia , and then you just mentioned
9:50
, you know , at Agios , like you know , or Agios , that is what's my next step going to be
9:52
. In those moments , the
9:54
question I have for you is like , in those moments of
9:57
what's next in your mind
9:59
, was there ever any sort of
10:01
anxiety or pressure
10:03
, or was it a little bit
10:05
more relaxed , like hey , I've got options
10:08
. Let me think hard about which options I
10:10
want .
10:12
Yeah , to
10:15
be honest , huge anxiety
10:17
, okay , it's huge pressure
10:19
, right , I
10:23
love my parents and they've been a fantastic
10:26
influence in my life , but my parents thought I was crazy
10:28
for quitting Bain and going to work as a lab
10:30
tech . Sure , yeah , I mean
10:33
, I was , you know , qualifying
10:35
for , you know
10:37
, like poverty related tax credits that
10:39
year .
10:42
But you had , I mean , you had some assurance
10:44
in your mind anyway , that this is part of a is
10:46
part of a step toward a greater plan , right
10:48
?
10:49
Exactly , exactly
11:00
, I can to something
11:02
that inspires me , right
11:04
, whether that's building
11:06
. And to me , what inspires me ? Building a company
11:08
, and building a company that is able
11:11
to have a really big impact on patients
11:13
who are sick , yeah , yeah
11:15
.
11:16
Actually , I can imagine I was there . I
11:18
have a son who's a freshman in college
11:20
right now and I'm just sitting here like
11:22
empathizing with your parents . We
11:24
sent you to MIT
11:26
for that degree so that you could do what
11:28
yes , that's
11:31
crazy . Um , so flagship
11:33
I want to get back to flagship . Like I said , like I'm a , I'm a
11:35
big fan of flagship . I've interviewed a
11:37
ton of their , their CEOs and
11:39
founders . Um , and it's interesting
11:42
, like most of the most
11:44
of this may be just anecdotal observation . I'm
11:46
not sure if there's anything to talk about here or not , but most
11:48
of the founders and
11:51
or you know , hired guns
11:53
that I've interviewed that are with flagship
11:55
companies now are execs
11:57
who came from big bio
12:00
, you know , and the stop atship
12:02
has been sort of part of their move
12:04
into emerging . I haven't
12:06
had occasion to
12:08
talk with execs that
12:11
did time at Flagship like early
12:14
in their career , right , like coming out of the experiences
12:16
you came out of , was
12:18
that unique ? Like to you to Flagship
12:21
, was that sort of a unique scenario ?
12:28
to flagship . Was that sort of a unique scenario ? Great
12:30
question . So one thing I would note is that flagship has
12:32
changed over time .
12:33
I can't speak for flagship anymore , we're just John . We're
12:35
just speculating right now .
12:37
There you go , I think flagship
12:40
flagships undergone a ton of growth and they
12:42
were growing a lot . Um , and
12:44
you know , when I was there as well , um
12:47
, but no , my , my role was not
12:49
unique . Um , I was a you know
12:51
associate and then a senior associate , and they had
12:53
lots of other associates
12:55
at the time , I think maybe around 10
12:58
. Um , but
13:00
you know , I checked a few years later and they might have had
13:02
30 or 40 . So they have a lot
13:05
of folks who are right
13:07
out of some sort of grad school , usually
13:09
PhD , who are working
13:12
now with many of those execs
13:14
who have been in biopharma and they're transitioning
13:17
back to
13:19
company creation , who
13:21
work together to get the companies off the ground
13:23
. Why did you leave ?
13:25
Flagship .
13:28
Yeah . So I
13:31
left Flagship with nothing
13:33
other than the idea that I
13:35
wanted to start a biotech independently
13:37
. So part of it was , you
13:40
know , I'd had two experiences at Flagship
13:42
co-founding
13:44
, or working on founding companies , creating
13:46
companies and I
13:48
wanted to seize the challenge to see if
13:51
I could do that independently . And
13:54
in my vision
13:56
for what that looked like , I
14:00
learned things at Flagship that were
14:03
indispensable for founding
14:05
Mythic absolutely critical
14:09
. So Flagship was an incredible experience for me
14:11
in that sense . But
14:14
my vision for what I wanted to build
14:16
was a little bit different than
14:18
a Flagship company . I think , at
14:21
least speaking about the time that I was there
14:23
. A lot of flagship companies tend to focus on
14:25
building a technology first and then
14:27
thinking about what are the therapeutic
14:29
applications of that technology . And obviously
14:31
that's worked out really well , sometimes
14:33
right , like Moderna Thank
14:36
you , moderna , for the COVID vaccines . But
14:41
Moderna was originally , I think , spent
14:44
a lot of time building a technology that enabled
14:46
them to go and do that . I think what
14:48
I was most excited about was
14:50
building a therapeutics focused company from
14:52
the start and that being the
14:54
primary goal and yes , you know it's
14:57
embodied at Mythic right . And so at Mythic
14:59
, yes , we want to use novel technology to make that drug that's going to benefit patients . We
15:01
know we need to . We want to be doing technology to make that
15:03
drug that's going to benefit patients . We
15:05
know we need to . We want to be doing something different than other
15:08
companies . But the focus at the
15:10
end of the day is how do we make the best drug we possibly
15:12
can for those patients ?
15:14
Yeah , when did
15:16
you feel most equipped
15:19
? And then I'm going to ask yeah , I might
15:21
as well just throw both parts of the question out
15:23
now when did you feel like most equipped
15:25
and where did you feel the least equipped in
15:27
terms of the
15:30
body of knowledge that would be
15:32
required to found mythic
15:35
?
15:38
I would say you
15:42
know one of the changes right off the bat . It's a very obvious
15:44
one . You
15:47
got to be able to bring
15:50
people on board who are not in
15:52
the flagship ecosystem . You
15:55
know , when you're at flagship doing company creation
15:57
, you're bringing in flagship
16:00
resources , you're bringing in people
16:02
who are in the flagship network , you're bringing
16:04
in money from the flagship
16:06
funds and you're working
16:08
with the partners to pitch them and do
16:10
that and all of that
16:12
comes . That whole ecosystem
16:15
obviously has a focus and a
16:17
certain set of goals , a certain
16:19
set of things that they're optimizing for , a certain set of
16:22
goals , a certain set of things that they're optimizing
16:24
for , and
16:28
it's been very successful . But it's very different from the wider universe . Right , it's got its own place in the wider universe and
16:30
so , I think , learning more about how
16:34
do investors other than Flagship think about
16:36
investing in a therapy use company
16:39
over different rounds because
16:42
you want to make sure you have a company that's investable at
16:44
every single stage , thinking
16:46
about , uh , you know , why
16:48
would somebody join , not a flagship
16:51
company , but a company that's just , you
16:53
know , two guys and an idea , and
16:55
how do you bring that , bring that team together
16:57
and build , build culture ? Um , and
17:00
so I think you know maybe I'll end there I think the most
17:02
challenging thing over time has
17:04
been how do you bring together a team
17:06
and how do you build a culture that allows
17:09
you to be successful in the way that you want to be successful
17:12
, and it's not only building
17:14
that in the first instance
17:16
, but also nurturing it and not
17:18
taking any of that for granted . I
17:21
feel incredibly honored to work with my colleagues . I'm
17:23
incredibly honored that they came to work
17:26
at a company that I co-founded , and
17:29
that's probably been the best part of this whole
17:31
experience .
17:32
Yeah , yeah , okay , and
17:35
we'll dig into that here in a minute . I feel
17:37
like I might've got ahead of my skis a little bit because
17:39
I want to hear the origin story and
17:41
if you're a listener , and you're listening to this point , lest
17:44
you be misled
17:46
into thinking like Mythic
17:48
is just this tiny little startup
17:50
Like Mythic's making great progress in
17:52
a hurry . I mean , the company has become sizable
17:55
, well-funded . We'll get into the details , but
17:58
you know you've done something from
18:00
nothing in a relatively short period
18:02
of time . But before we get any further
18:05
into that , I want to hear about , like the two
18:07
guys and the idea .
18:10
Yeah , let's do it . So I
18:13
co-founded . I left Flagship
18:15
. I had a office mate
18:17
and fellow Flagship associate
18:19
leave , Alex
18:23
Nichols , who was my co-founder
18:26
, and after we both left flagship , we
18:28
decided to team up and start something
18:30
, and for the first nine months it was
18:32
two guys around a living room table
18:34
. Funny enough , Alex
18:37
ended up moving in right next
18:39
to me without
18:41
even knowing it . It was just a complete accident
18:43
. And so we
18:45
somehow convinced our wives to let us
18:47
not have jobs and
18:49
just go order each other's place
18:51
and sit around the living room table thinking
18:53
about how to start a biotech .
18:57
Wow , that's pretty convincing . We'll spend
18:59
some time offline . Teach
19:02
me those . So
19:06
here you found yourself with the
19:10
grace of your wives , your wives graciously
19:12
giving you the opportunity to sit around and
19:14
brainstorm for a few months .
19:34
Where does that even start ? Like , did one of
19:36
you have a seed in a science ? Or did one of you have a motivation and a specific indication
19:38
? Or did one of you have some semblance of a target idea ? Like what was
19:40
the , I guess , nucleus of the conversation ? Like , where'd you start ? This
19:42
is something that Flagship had prepared
19:45
us well for . Right this stage of you know
19:47
what do you do
19:49
when you're at zero and how do you potentially
19:51
work , build something on paper
19:53
and then test you know is
19:55
that going to work or not ? I
19:58
think , at a high level , your job as
20:00
a very early stage
20:02
entrepreneur who's just starting out is
20:05
to take bad ideas seriously , and
20:08
what I mean by that is before
20:10
something is a good idea , like a CRISPR
20:13
or ADCs , for example , usually
20:16
before that . The reason why it's so
20:18
popular in the hot new thing is because before that it
20:20
was a bad idea . Maybe
20:22
it was a bad idea because no one thought it would work
20:24
. Maybe it was a bad idea because no one could do it
20:27
Right , but it wasn't
20:29
something before it was a big thing . It
20:32
was something that in a hot new thing , it was
20:34
something
20:37
that not a lot of was the process
20:39
of thinking about things that
20:41
weren't in favor , but trying to
20:44
understand why people weren't
20:47
super excited , why they weren't a hot thing already
20:49
, and then evaluating well , how
20:51
could we be part of and build a company
20:53
that could be part of changing that ? And
20:57
that's what we found . With ADCs , we became fascinated
20:59
with ADCs . On
21:03
with ADCs , we became fascinated with ADCs I think even back in 2017
21:05
, when we started working on ADCs . The clinical trials oftentimes
21:08
the clinical results were oftentimes nothing
21:10
to write home about , but
21:12
they did show that the drug worked . Oftentimes
21:14
the typical story would be , let's say , solid
21:17
tumor indication , 20%
21:19
response rate , but the responders
21:21
oftentimes were highly concentrated in
21:23
these patients that expressed very high
21:25
levels of the target . So
21:28
what's going on there ? Well
21:30
, eventually we became very excited
21:32
about that sort of data
21:34
because it suggested that if
21:36
you had a patient who could deliver enough ADC
21:39
to their own tumor by virtue of very
21:41
high target expression , then they would respond
21:43
, whereas
21:50
for even intermediate , especially low expressing patients , you couldn't get a response
21:52
because the antibody component of the ADC wasn't efficient enough at
21:55
delivering the payload to the tumor . And
21:58
so , with that realization of what was going on
22:00
, we thought clinically for a lot of different
22:02
targets , particularly in solid tumors , plus
22:04
the fact that the antibody side of the ADC
22:07
equation hadn't really been looked at very much
22:09
, we got very excited about . Hey
22:11
, you know , here's a
22:13
field that's a bit out of favor , but
22:16
by taking a new approach
22:19
we might actually unlock something
22:21
that's holding the entire feel back .
22:25
Was your co-founder a scientist
22:27
by training as well ? Yep
22:37
, so Alex is a PhD as well . You know you're you're having an intellectual
22:39
, uh , discussion about
22:41
a therapeutic area
22:44
. I don't . If , if he , if he , didn't have
22:46
chops to to understand the conversation
22:48
, uh , it'd be , it'd be a difficult one
22:50
to sell . You know , in those early
22:52
, intimate , one-to-one conversations , you
22:55
know it'd be , it'd be difficult to , I
22:57
guess , create a , an environment where you're both sort
22:59
of rallying around the same concept . What
23:03
were the concerns
23:05
? Like , to your point , the ADC
23:07
space was established
23:10
but not thriving . Like , adc has been around
23:12
for a while , but it certainly wasn't the ADC landscape
23:14
that we see today , back in 2017
23:17
. So you had a concept
23:19
that would change the paradigm , change sort
23:21
of the status quo of what had been
23:23
happening in the ADC space . But
23:28
what were the , I guess , maybe red flags ? Like what were some of the concerns
23:31
that needed to be overcome ? Right
23:34
, to put your stake in the ground and say
23:36
, yeah , you know what ? Like , let's go try to chase
23:38
this thing down . Sure , let's go try to chase
23:40
this thing down Sure .
23:42
I think there's a general
23:44
red flag when you're pursuing , maybe
23:46
a contrarian idea
23:49
, in that you're
23:52
going to have to tell your story
23:54
in order to make people get it , instead
23:57
of people coming to you and saying , oh , you're an ADC
23:59
company and it's five years later .
24:14
And , of course , I would join an ADC company
24:17
. Of course , oh , you're an ADC company and
24:19
it's five . I don't know how warm
24:22
the VC community is going
24:24
to be if we just pop
24:26
up and say , hey , you know these ADCs that people have been
24:28
struggling with for so long . We think we got to figure it out . Give
24:30
us some money .
24:32
Yeah , there's a good , there's a great story that our
24:35
lead
24:37
investor , Brian Roberts
24:39
at Venrock , tells that when he first
24:42
did diligence on us for the Series
24:44
A , he called up his oncology
24:46
experts and they said ADCs
24:48
why are you doing something in ADCs
24:50
, Brian ? This doesn't make any sense .
24:52
Yeah .
24:54
Go do self-therapy , go do something else . So
24:58
it's those sort of reactions . But I think people like Brian
25:00
were actually able to
25:02
, and willing to listen to
25:04
what we had to say , which , you know
25:06
, I'm especially appreciative of , because
25:09
we're not the 50 year biopharma
25:11
veterans coming and saying this is the next thing where
25:13
the you know guys who spent two
25:15
years at flagship coming to tell you , you
25:18
know , we were in the living room and we thought that this would be a
25:20
good idea and maybe a little bit
25:22
of evidence that goes along with that . But uh
25:25
, yeah , it is . It is something to overcome
25:27
. On the other hand , you know , I
25:31
think we're taking such a different approach
25:33
at Mythic . I still feel like we
25:35
have , you know , convincing to do . I think
25:37
the ADCs are hot right now , so
25:40
we're kind of in that category
25:42
, but we're not a linker
25:44
payload company , and when I think people think of an
25:46
ADC company , I actually think they're really thinking of a
25:48
linker payload company , and so I still
25:50
think we haven't quite hit our
25:52
hot moment yet .
26:00
So yeah , unpack guess , um
26:02
assumed uh linker
26:05
payload company , like the company that
26:07
everyone just assumes when they think ADC
26:09
. Like what's , what's different about you ?
26:12
Right , so maybe , as I was , I started
26:14
to introduce beforehand um in
26:17
this conversation . We focus
26:19
on the antibody component of the
26:21
ADC rather than the linker payload component
26:24
, and we
26:26
design antibodies that can deliver
26:28
more of that linker payload
26:30
. More of that payload , really , to cancer
26:33
cells where you want it , and less payload
26:35
to normal cells where you don't want
26:37
it .
26:38
Gotcha , Okay yeah , Whereas a lot
26:41
of like . I was just looking at some ADC companies
26:43
this morning in preparation
26:45
for a project we're working on that's going
26:47
to show up a little bit later in the year
26:49
, and I found that many of them , like you
26:51
know , their antibodies are coming in
26:53
from an outsource provider . Like . So
26:56
you're saying , like you're doing , that antibody development
26:58
in-house
27:00
Is the Linker technology , then outsourced
27:02
at Mythic .
27:04
Yeah , so for our first program we're using
27:07
the CMMAE , which is a well-known linker
27:09
payload . Our platform is fundamentally
27:12
agnostic , right . So we've shown our technology
27:14
works with the CMMAE . We've shown
27:16
it works with topoisomerase
27:19
inhibitor payloads . We've shown it
27:21
works with DNA toxins . So , regardless
27:24
of what we attach to the antibody , it will
27:26
deliver more . And
27:29
you're right , though , in that I
27:31
think the reason why no one
27:33
is really focused on the antibody up to this
27:35
point other than mythic
27:37
, is because some of the challenges
27:40
behind the linker payload historically were so difficult
27:42
to overcome , and I think having overcome
27:44
some of those challenges is why the ADC field
27:47
is experiencing so much success right
27:49
now . But
27:51
the question is what's the next generation
27:54
? What's going to solve the problems that we have now
27:56
? Not the problems that we had 20 years
27:59
ago .
27:59
Yeah , yeah , what are the problems
28:01
now ? Like you know the problems 20 years ago
28:04
, you know , I think we could reflect on that
28:06
toxicity and payload
28:08
, and trying to get the equation right , you know . So
28:12
, assuming that we've gotten to a point where that
28:15
has been figured out , what
28:17
challenges do you face now ? Like
28:19
, what are the problems now ?
28:22
Yeah , so .
28:24
Uh .
28:26
One of the most inspiring visions
28:29
for the field and it's not necessarily my
28:31
vision , but I will ascribe to
28:33
it is that ADC
28:36
should replace chemo , because
28:39
there are more efficacy , less
28:42
toxicity . I
28:45
mean just the word chemo . We try
28:47
to avoid even using the word
28:49
chemo in association with what we're doing with
28:51
ADCs , although many of the payloads
28:54
, technically , they are chemo . Just
28:57
the word chemo makes you think of maybe
29:01
someone who has cancer , who has the
29:03
potential to get better , but it's not going
29:05
to be a fun experience . So
29:08
I think that's one of the most inspiring
29:10
visions . But if we're actually going to do that and we're actually
29:12
going to replace chemo with ADC
29:15
, is we're going to have to get ADCs to
29:17
work for broad segments
29:19
of patients and many different targets
29:22
. And right now we're in a place where , at
29:24
least in solid tumors , ADCs
29:26
work really well for targets that are very
29:29
highly expressed . So HER2
29:31
in breast cancer and a couple of other cancers
29:34
, Nectin-4
29:36
in bladder cancer these
29:39
are very highly expressed targets . But
29:43
where ADCs don't work currently are
29:46
lower expressed targets and
29:48
, specifically , patients who have
29:51
a target but it isn't expressed at those super
29:53
high levels . And so
29:55
being able to treat patients
29:57
with intermediate levels of expression , low
29:59
levels of expression , being able to
30:01
look at targets that don't have
30:04
hundreds of thousands of copies per cell , like
30:07
a HER2 or a Nectin-4 , and being able
30:09
to look at patients who are inherently resistant
30:11
to the payload that's
30:15
really what's going to allow us to replace
30:17
chemo .
30:19
Yeah , and when
30:21
you so back up
30:23
a few years , when you were , you
30:27
gave a great example of
30:29
Brian , one of your lead investors , jumping
30:33
on board when
30:35
you were out there trying to raise that
30:37
Series A and in subsequent fundraising
30:40
efforts , I'm curious
30:42
about what were the keys to
30:45
winning that
30:47
favor . In a market
30:49
, especially in those early days , was , I
30:52
don't want to say , frowned upon ? That might be too strong , but
30:55
certainly not in favor . So
30:57
what was it sort of your vision
30:59
for where ADCs go
31:01
next and the way that you go about
31:04
putting them together ? What
31:06
were some of the keys to winning
31:09
that favor of the VC community ?
31:10
What were some
31:13
of the keys to winning that favor
31:15
of the VC community , I
31:25
think , telling a big story really well and very clearly and succinctly and
31:27
then not giving up Just
31:32
trying over and over and over again in the face of failure . So I think I've probably been in 500
31:34
investor conversations like distinct
31:37
investor conversations at this point , and
31:39
only a handful of those were ever
31:41
yeses .
31:43
Yeah , this
31:45
is totally out of left field . Just curious
31:47
, though , because you're young and because your co-founder
31:49
was young as well , like when you guys , you know
31:51
you're , you're still young . I don't want to , I don't want to age
31:53
you , but in 2016 , 2017 , like you
31:56
know , a couple of years experience coming out of your PhD
31:58
program , did you experience ? And , you
32:00
know , did you ever get any perception
32:03
from um , from some of the VCs that , like
32:15
, who's this kid , like what's he looking
32:17
to do ? You know , go around the block a few
32:19
times and then come back and see me .
32:21
Yeah Well
32:23
, during that process we definitely
32:26
went around the block many different times . I
32:29
like how you , you , you frame that . Maybe I'm
32:31
a little older now . I certainly have a few more gray
32:33
hairs . Oh well , the
32:35
business will do that to you , it will
32:37
Look . I don't
32:40
know , I can't say I can imagine
32:43
different places that maybe
32:45
have gone different ways . Maybe people were excited
32:47
that young folks with our background
32:49
were trying to do something new and maybe
32:51
made them listen and pay attention to what we
32:53
were doing more . But
32:56
I'm very thankful for having found
32:59
people like Brian , like
33:01
Graham Helmy at Viking , who's one of our
33:03
other lead investors , dan
33:05
Farrow at Omix , josh Koppelman at First
33:07
Round to start it all off in our seed round
33:10
who were willing
33:12
to listen to what
33:14
we had to say . And I would also
33:16
say , you know , a big moment
33:18
for mythic was when we raised our angel round
33:20
. Um , and so it wasn't just me
33:23
and alex , it was me and alex
33:25
and a group of angels who , for
33:28
some unknown reason you
33:30
know well , hopefully for good
33:32
reasons you know that that they saw something
33:34
here that , uh , they
33:37
wanted to invest in mythic instead
33:39
of doing anything else they could have done without
33:41
money . Um , and so during our angel
33:43
round , we raised about 750
33:45
000 in uh in
33:47
summer of 2017 . And
33:50
that was about nine different C-level
33:52
biotech execs , and so
33:55
, at that point again , it wasn't just
33:57
us . It was us plus these
33:59
. You know , we're borrowing the credibility and
34:01
advice of our angel investors in order
34:03
to , you know , grow and move forward , yeah
34:05
, yeah .
34:07
So tell us about what you're putting
34:10
the money that you've raised today toward
34:12
. Tell us a little bit about the clinical program
34:14
and or I mean you
34:16
tell me where you want to start . You
34:19
talked about how Flagship
34:21
sort of takes this approach generally
34:24
around . Let's build a platform or
34:26
a technology and then figure out
34:28
what we do with it from a therapeutic standpoint
34:30
. Or a technology and then figure out what we do with it from a therapeutic
34:32
standpoint . You kind of took the opposite route . Yet you've landed
34:35
on , you've got a platform right . I
34:38
mean , the company has a platform now , I guess .
34:40
tell us a little bit about the build out of
34:42
that and what it's producing
34:44
, and yeah , the
35:01
brick and mortar that's put together as a
35:03
result of your investment success
35:06
to deliver more payload to cancer cells
35:08
and less to normal cells across
35:10
about 20 different targets . We
35:12
inserted our engineering into over
35:14
a hundred different clinical stage
35:16
ADC antibodies and
35:24
we're on candidate number I think , 16,000 at this point . So
35:27
we've done this a lot and we built a platform and a team that's very good
35:29
at at , you know , doing this very quickly . Um , that's very good at
35:31
doing this very quickly . Out
35:36
of that effort right , because
35:40
I think what we saw was a potential for this type of engineering to result in a therapeutic
35:42
that would have an impact on these lower expressing , less sensitive
35:44
patients , we very quickly
35:46
found where that technology
35:49
worked really well , and
35:51
one of those was MET , which is the target of our lead
35:53
drug . We also found where it didn't work
35:55
, and I think that's part of you
35:58
know , in my vision at least , even if you want
36:00
to make just our interest in
36:02
making the drug , if you have some
36:04
sort of an insight on how to do that , you're
36:07
never going to avoid a messy car accident
36:09
between your technology and target
36:12
biology . Some
36:14
things science allows them
36:16
to work , some things it doesn't
36:19
, and so we went
36:21
very broad , very early to try to figure that
36:23
out . Where was it working the
36:25
easiest , the quickest , the fastest , the best
36:27
? And so that was MET , at
36:30
least initially . And so our
36:33
lead ADC is ADC
36:35
targeted against MET . It's currently in
36:38
a phase one dose escalation , dose expansion
36:40
trial as monotherapy a
36:42
non-small cell lung cancer and
36:45
we're nearing the tail end
36:47
of the dose escalation portion . We're
36:50
working with a number of sites
36:53
and I'm just incredibly
36:55
grateful to the sites and the patients
36:57
who have been on this journey with us
36:59
so far .
37:00
Yeah , how big is the company ? Now ? I
37:02
mentioned that your growth was pretty rapid . I
37:04
mean , once things got rolling , I mean you've got a pretty sizable
37:07
outfit now . So how many employees
37:09
are with Mythic ?
37:11
So we're at about 40 right now I'm
37:14
at our world headquarters here in Wolfham
37:17
.
37:17
Yeah .
37:18
Yeah , just one location
37:20
to date .
37:21
Yeah , what are the
37:23
I guess intentions
37:26
? I mean , obviously it's early , you're
37:28
in phase one , but what are the intentions
37:30
longer term ? And this is the question that
37:32
I always love to ask , because I can
37:34
can take to a certain point and actively
37:37
sell , or partner , or
37:39
we want to take this thing to
37:59
the finish line . You know we want to build
38:01
a full service biopharmaceutical company
38:03
that works in specific . You know a specific
38:06
area of indications and
38:08
you know , with the caveat that opportunity
38:11
presents itself and those plans can all change . So
38:13
I never hold I'm not holding anyone
38:15
to anything , but , like you know , this is
38:17
your first , your first go at
38:19
at founding a company
38:22
around a molecule and
38:24
an idea that you and your co-founder
38:26
, you know , kind of put together on your own . There's
38:28
gotta be a strong
38:30
sense of ownership right around around
38:32
what you're doing . I'm sure you've put a lot of
38:35
time , money , uh , and and intellect
38:37
into it . Um , what would you
38:39
like to see happen ? Like , let's put it that
38:41
way , like , what would you like to see happen with this company
38:43
? Where , where would you like to take the company ?
38:47
I'd like to see , I'd
38:49
like to cure some patients or
38:51
at least make make some patients feel a lot better
38:53
. Uh , and it's exciting
38:56
to be be in clinic and doing
38:58
some of that right now , but obviously we
39:01
have to go through a number of stages of
39:03
development before we have an even even bigger
39:05
impact . And so where I would want to
39:07
go with the company is building
39:10
an enduring multi-product oncology
39:12
company . We've
39:15
seen , we've
39:17
done a lot of engineering , like
39:19
I talked about , and we've seen the impact that
39:21
this sort of an approach can have . We started
39:24
out with so-called
39:26
pH engineering to accomplish
39:28
this effect of more delivery to
39:30
tumor cells and less delivery to normal cells . But
39:33
we have subsequent generations
39:35
of different types of engineering that we can also achieve
39:37
the same effect and combine it with pH engineering
39:39
, and
39:41
so it's
39:43
great to have a lead program , but we're building
39:46
a pipeline behind that . We have a second program which
39:48
will come to start , IND
39:50
, enabling work this year for a potential IND
39:52
file at the end of next year . And
39:56
so building an enduring multi-product
39:58
oncology company that
40:00
can have the full impact of
40:03
what we've discovered with our technology
40:05
and our approach .
40:06
Yeah , that technology , the
40:08
discovery , I mean . You mentioned 16,000
40:11
iterations
40:13
. Right now , one clinical candidate
40:15
, someone who
40:17
isn't intimately familiar with
40:19
the way that this business works and
40:21
discovery works , would look at it and
40:24
go if I made 16,000
40:26
widgets today and none
40:29
of them were quite right and walked out with
40:31
one , that'd be a pretty frustrating
40:33
experience and this is going to lead back to
40:35
. I mean , and obviously most of our audience
40:37
understands how this business works but
40:41
at the same time you build an organization
40:43
. You know 40 people now 40 people in growing
40:46
plus partners and you
40:48
know manufacturing partners growing
40:52
, uh , plus partners and you know manufacturing partners . Um , and you mentioned
40:55
this earlier , you know the , the culture of method . You know the , the team and
40:57
sort of the mission . Um , it
40:59
can be a frustrating industry
41:02
to work in if , if you don't embrace
41:04
those odds and that you
41:06
know quote , unquote failure rate . So
41:09
share , share with me a little bit about that
41:11
. You know it's a young company led by young people
41:13
. Um , you've
41:16
, you've built this organization . Uh
41:18
, it's a tough business to be in . What
41:21
does , what does Brian Fisk do to
41:24
maintain , to build and maintain
41:26
a culture of positivity
41:28
and momentum and and excitement about
41:30
what you guys are doing there ?
41:56
So , first off , it's
41:58
the't cost us much to do
42:01
multiple cycles of iteration with hundreds
42:03
and hundreds of candidates , thousands of candidates
42:05
on any given program , and
42:07
we keep a very
42:10
high bar for what we take in the clinic
42:13
. Essentially , it's got to be best
42:16
in class , it's got to be treating some
42:18
very sick patients , of whom there are a lot
42:20
of them in order
42:22
for us to get motivated to bring something into
42:24
clinic , and I think
42:26
that's very motivating for people . One
42:29
of the and
42:31
we may have talked about it before in general terms , but
42:33
one of our core values in Mythic is what we call
42:35
patient-centered science , in that
42:38
we get really excited about science
42:40
that's going to have an impact in patients
42:43
, and letting that impact in patients lead
42:45
like what that drug looks like and the effect it's going to have
42:47
, lead us to what sort of
42:49
technologies would we have to do in order to accomplish
42:52
that , rather than the other way around . And
42:54
I think that's been very motivating
42:56
to a lot of folks . A lot of folks have come
42:58
to us , come to work with us , from
43:01
other companies where maybe they had a really
43:03
exciting technology but it never really translated
43:05
into a drug that had
43:08
an impact on patients . And so that's
43:12
not everybody . Some people like to work on technology
43:14
, some people like to do other
43:17
things , but that's the folks that we've attracted
43:19
at Mythic and so keeping that really
43:21
high bar , being
43:23
really sure that we are giving ourselves
43:26
the best shot possible to have something
43:28
that could really impact patients when we make
43:30
that decision to put something into I&E
43:32
enabling studies that's
43:35
been a core part of who we are enabling
43:37
studies .
43:38
That's been a core part of who we are . Yeah , yeah
43:40
, Very good . You mentioned 40 employees . I said 40 employees
43:42
and growing . That
43:52
growth was recently marked by the addition of a new CEO . Yeah , so tell me a
43:54
little bit about that . What went into the determination that you needed
43:56
a new CEO ? Was there any you know ? Was there sort of an inflection
43:59
point around that , around that hire ? And
44:01
tell me about the hire itself .
44:03
Sure . So we're incredibly excited to
44:05
be working with George . So George Eliadis
44:07
joined us . From jazz he was
44:09
formerly chief transformation
44:12
officer and head of business development at
44:14
jazz of business development at jazz . Uh , brings a ton
44:16
of experience in commercial
44:19
launch , mna , um
44:21
, you know product strategy , et
44:23
cetera , um
44:31
, so I think he's the right CEO to take what we have , which is some interesting
44:33
proof of concept and a platform , and scale that into multi-product
44:35
, enduring oncology company . You
44:38
know , and yes , you know , maybe
44:41
I said he'll be doing that
44:43
He'll
44:46
be leading the team to do that ?
44:47
Yeah , yeah , yeah , definitely leading the team . I mean , this
44:49
is interesting to me as well , like
44:55
you're the chief scientific officer . Chief science officer scientific
44:57
or science , scientific , scientific Okay , chief science officer , chief science officer Scientific or science
45:00
, scientific , scientific
45:15
Okay . I don't know if there's anything different between those two words , if it's just semantics . But you're
45:17
the founder and chief scientific officer . What kind of goes into the thinking around that You've got
45:19
two founders . You say , okay , we're going to form up a company Like you just hired a CEO who you think
45:21
is going to be equipped probably better than you , you know , to , to , to go do those , you know , um , building
45:23
oriented things . What goes into the thinking around , like
45:25
, who's going to take what role when you , when you
45:27
found a company with a scientific background like yours
45:29
?
45:32
I in my thinking it's really about
45:34
so . So to my
45:37
co-founder , alex was
45:39
CEO for a period of time and then transitioned
45:42
out of the company about two years ago , and
45:45
so we had that as sort of an
45:47
open role . And then we had
45:49
a search open and then ended
45:51
up hiring George , who we're fantastically
45:53
excited about because he's really the right person
45:56
fantastically
46:00
excited about because he's really the right person . In terms of picking roles from
46:02
the get-go , we didn't have roles for the first
46:05
year or two , we were
46:07
just co-founders . And then , in
46:10
my thinking about how you pick roles , again
46:12
, I would go back to something I said earlier
46:14
, which is what's the role from
46:16
which I can have the most impact
46:18
on what we're doing ? And for me that
46:20
was a science . I had a background in oncology
46:23
from my PhD . I
46:25
felt like it was something I was
46:27
uniquely strong at , and Alex
46:30
had his own set of strengths that we ended
46:32
up deciding he would go be CEO
46:34
. Yeah , I .
46:36
I was just curious
46:38
. You know when you're forming things up , it's interesting
46:40
. You know who's going to play what role . George
46:43
you said . Is he
46:45
right there in your world headquarters with
46:47
you ? You guys kind of in lockstep
46:49
right now , like on the daily .
46:52
He is , yeah , so he's been here
46:54
for two weeks and then
46:56
this week he's in SF packing
46:58
up and moving .
46:59
Oh , very nice . Yeah , it
47:03
was a two-year period
47:05
between Alex's departure and bringing
47:08
George on Mm-hmm . Was
47:10
that an active search the entire two years
47:12
?
47:13
Yes , and
47:28
how did you go about ? Like what were sort of the strategy
47:30
and the keys to landing the right
47:33
person ? Someone
47:36
, maybe very secondarily to that , who had
47:38
a set of skill sets that was complementary to
47:40
our existing executive team ? So we
47:43
haven't talked about them yet as
47:45
much . But Sander , who's our chief operating
47:47
officer , also does the COO
47:50
thing but also runs manufacturing
47:52
for us , has
47:57
had an incredible career in that and very , very skilled . And then Gilles Gallant , who's our
47:59
chief development officer , comes to
48:01
us from Daiichi . Sankyo . Daiichi
48:03
is the company that created Inher2
48:06
, which probably kicked off the
48:08
current EDC craze , as it
48:10
were , and Gilles was actually
48:12
the program lead for a year or two , so
48:14
that went well
48:16
. And then he was promoted to head all of oncology
48:19
clinical development at Daiichi
48:21
and then came to work with us .
48:24
Yeah , yeah , building an all-star team . My
48:26
frequent guest , alan Shaw , says investors
48:29
don't bet on horses
48:31
, they bet on jockeys . And it sounds like you put
48:33
a pretty good team of jockeys together there
48:35
at Methic . Absolutely it
48:37
sounds like you put a pretty good team of jockeys
48:40
together there at Mythic . Absolutely , what's next ? Who's
48:44
next on your I shouldn't say who , don't name names , but what role is next on Mythic's , I guess , hit
48:46
list in terms of executive development or you know , for
48:48
that matter , even scientific advance
48:51
? Like , who do you need ?
48:55
I think we're . We have a pretty
48:57
complete game right
48:59
now . Um , you
49:01
know we are a private company
49:03
. I would bet that at some point
49:05
, you know , we're already starting to think
49:07
what it would take to become a public company . I don't
49:09
think we're committed towards that path at all , but
49:11
it's something you got to think about ahead of time
49:14
. Um , you know
49:16
, the thing that comes to mind is maybe there's
49:18
a chief financial officer in the works
49:20
if we decide to go down the public
49:22
company route . But right
49:24
now Sandra's running finance and doing
49:27
quite well at that . So no
49:29
immediate need there , and
49:31
I think we're going to focus on onboarding
49:34
George , working with him to figure
49:36
out next steps in the next
49:38
few months , and
49:41
then , yeah
49:43
, build and grow from there .
49:45
Yeah , any
49:47
big next steps or inflection points
49:49
on the horizon for the company on the whole
49:51
. Obviously , this trial is
49:53
probably keeping you pretty busy right now .
49:57
Yeah , it's an incredibly exciting time
49:59
at Mythic . So we're wrapping
50:01
up the dose escalation phase of our trial
50:03
. It was done in unselected
50:06
patients , which we know is not our patient population
50:09
, but we learned a lot of things about safety
50:11
, about PK , about dose and
50:15
some early signs of efficacy
50:17
. We were also able to go fast
50:20
. I mean , that was why we chose to go unselected
50:22
to begin with was to go fast , and we've achieved that
50:24
. We've
50:28
had incredible enrollment up to this point . That's also a credit to the investigators
50:30
and patients , very thankful for them . And
50:34
so there's that whole package of data that'll
50:36
come together this year . There's also the package of data
50:38
that we're going to use to motivate , starting
50:41
ID , enabling work for our program too . So
50:43
, uh , I'm incredibly excited about
50:45
that and what we're doing with program too
50:47
. Uh , and so , from a data perspective
50:50
, we're , uh , it's
50:52
a good time to think about another financing
50:54
and , with that financing , focus on
50:57
getting into the dose expansion portion
50:59
of our trial , funding a
51:02
path to pivotal for the lead program
51:04
and then bringing that second program to ind
51:06
yeah , and
51:09
I'm assuming you've shared all that you're
51:11
willing to share or can't share about that second
51:13
program for
51:15
now , yes okay
51:17
, all right , you know , but
51:19
I had to ask , of course , what
51:21
haven't I asked you that I should have
51:23
if I were a better interview
51:25
, brian . It's been
51:27
a fantastic interview , I think you
51:30
know . Maybe the message I would leave with
51:32
or that I would focus on
51:34
is again , or that I would focus
51:37
on is again , we're a very different type of ADC
51:39
company , focused
51:47
on the antibody component . We're not a linker payload company , but we're hoping to stand
51:49
on the shoulders of what's been done and what will be done on the linker payload
51:51
side to have this very unique
51:54
ability to deliver more tumors
51:57
and get a
51:59
broader set of patients to respond , so that we
52:01
can replace chemo
52:03
with something safer and with something more
52:05
effective .
52:06
Yeah , all right , so I lied . I
52:09
have one more question for you . Maybe
52:11
I didn't lie , I don't think I said that was my last question
52:13
, but you just brought up this . you know you brought up this point
52:15
, we and we alluded to it earlier the fact that , like
52:17
, the ADC space has sort
52:19
of exploded in in recent
52:21
months , you know , if not like you know a
52:24
short number of years , it's only only
52:26
recently just kind of blown up and and
52:28
because you just made sort of your final
52:30
, your final statement around you know reiterating
52:32
this , this idea that Mythic
52:34
is is a different ADC
52:37
company with a different approach . What
52:41
is your take on sort of the crowded
52:44
landscape and cacophony of
52:46
noise in the ADC space that's
52:49
happening at this very , very
52:51
moment ? What's your take on
52:53
it ? Is it good for Mythic and the industry ? What's your take on it ? Like , is it
52:55
good for Mythic in the industry ? Is it challenging
52:59
to be heard and noticed and
53:02
seen and differentiated ? Is
53:05
there a bunch of noise out there that needs to positive
53:07
clinical proof of concept data ? There are a lot of deals happening and
53:09
they're big
53:11
deals .
53:32
It's hard to find a deal that looks like that , that
53:34
is less than a billion dollars up front , and
53:42
that's because ADCs can address large indications and they're highly
53:44
manufacturable at this point . They're not a bespoke manufacturing
53:47
process like cell
53:49
and gene therapy , for example . The
53:52
other thing that's going
53:54
on is more in the preclinical space
53:56
, where there is a lot of I
53:59
don't know if I'd call it noise , but a lot
54:01
of activity . But there
54:04
in the preclinical space it's hard to
54:06
find a deal with an upfront
54:08
greater than about $50 million
54:12
. And thing that you have
54:14
to think of is you know , with like a cell
54:17
and gene therapy , particularly , let's say
54:19
, cell therapy , when those
54:21
deals were happening in the last
54:23
five years , very
54:27
few larger companies could
54:29
do cell therapy Right , and so they were looking
54:32
for partners to bring that as an expertise
54:34
. With
54:38
something like an ADC , farmers can do ADCs right . They , something like an ADC Farmers
54:40
can do ADCs right . They can make an ADC , they can make antibodies and they
54:42
can conjugate it to a payload . And so you
54:44
have to bring something different
54:46
or you have to bring clinical data
54:48
to the table , and I think that's what we're looking
54:51
to do . We're looking to bring both , but
54:55
I think that the preclinical spaces
54:58
, which is very frothy , is
55:00
inherently capped . We're looking to sort of
55:02
put that aside and take things to clinical
55:04
POC where we can generate that usually
55:07
value inflecting data set .
55:09
Yeah , yeah , very good , very
55:11
good . I like that response Thorough , honest
55:14
, um assessment of the space
55:16
and your role in it . Um
55:19
, yeah , we're , uh , we , we're . We got to wrap things
55:21
up here . I've been abusing your time , brian , but
55:23
it's been a fascinating conversation
55:25
. I appreciate you coming on and spending some time
55:27
with us and giving us an update on Mythic
55:30
and you know we'll be paying attention
55:32
. I hope to have you back on the show , you know , maybe
55:34
once you've got some more
55:37
data coming in from the clinical trial
55:39
, maybe when you can share a little bit more on
55:41
your second program , because
55:44
it's an exciting space and your approach
55:46
and the uniqueness of your approaches is
55:49
it's great fodder for the conversation . So
55:51
thank you for coming on , I appreciate
55:53
it and we look forward to doing it again . Thanks , matt . I
55:55
enjoy that . All right , I appreciate it and we look forward to doing it again . Thanks , matt
55:57
, I enjoy that All right . So that's Mythic Therapeutics
56:00
. Co-founder and chief scientific officer
56:03
, dr Brian Fiske . I'm Matt
56:05
Pillar . You're listening to the Business of Biotech
56:07
. We're
56:12
produced by Life Science Connect and available to hear anywhere you listen to podcasts
56:15
and available to watch at bioprocessonlinecom under the
56:17
Listen and Watch tab . Subscribe to
56:19
our newsletter at bioprocessonlinecom
56:21
backslash B-O-B and , in the meantime
56:23
, thanks for listening .
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