ABOUT THE SPEAKER
Adam de la Zerda - Biologist, electrical engineer
Adam de la Zerda develops new medical imaging technologies to detect and destroy cancer.

Why you should listen

Adam de la Zerda is an assistant professor at the Departments of Structural Biology and Electrical Engineering (courtesy) at Stanford University – School of Medicine. He completed his undergraduate degree in computer engineering and physics from the Technion – Israel Institute of Technology in 2005 Summa Cum Laude. He received his Ph.D. in Electrical Engineering from Stanford University in 2011, where he developed the Photoacoustic Molecular Imaging technique with Sanjiv Sam Gambhir. He was then a postdoctoral fellow at the lab of Carolyn Bertozzi at UC Berkeley – Chemistry Department, before joining the Stanford faculty in 2012.

de la Zerda's research interests span the broad field of molecular imaging. His lab focuses on developing new optical imaging instrumentation and chemistry tools to study the complex spatiotemporal behavior of biomolecules in living subjects. The lab uses animal models for cancer and ophthalmic diseases such as age-related macular degeneration. His research efforts span both basic science and clinically translatable work.

de la Zerda has received many awards and honors for his work, including the Pew-Stewart Scholar for Cancer Research, the AFOSR Young Investigator Award, Baxter Faculty Scholar Award, Dale F. Frey Award, Forbes Magazine 30 Under 30 in Science and Healthcare for 2012 and 2014, NIH Director’s Early Independence Award, Damon Runyon Cancer Research Foundation Postdoctoral Fellowship, Era of Hope Distinguished Predoctoral Poster Award, Best Poster Presentation at SPIE Photonics West, the Young Investigator Award at the World Molecular Imaging Congress, the Department of Defense Breast Cancer Research Program Award for Predoctoral researchers, the Bio-X Graduate Student Fellowship and first place at the Bay Area Entrepreneurship Contest. He has published papers in leading journals including Nature Medicine, Nature Nanotechnology and PNAS. He holds a number of patents and is the founder of a medical device company, Click Diagnostics.

More profile about the speaker
Adam de la Zerda | Speaker | TED.com
TEDxStanford

Adam de la Zerda: We can start winning the war against cancer

Filmed:
1,133,485 views

Learn about the latest advances in the war against cancer from Stanford researcher Adam de la Zerda, who's working on some cutting-edge techniques of his own. Using a remarkable imaging technology that illuminates cancer-seeking gold particles injected into the body, de la Zerda's lab hopes to light the way for surgeons to remove even the tiniest trace of deadly tumors.
- Biologist, electrical engineer
Adam de la Zerda develops new medical imaging technologies to detect and destroy cancer. Full bio

Double-click the English transcript below to play the video.

00:12
"We're declaring war against cancer,
0
880
1855
00:14
and we will win this war by 2015."
1
2760
2600
00:18
This is what the US Congress
and the National Cancer Institute declared
2
6440
3736
00:22
just a few years ago, in 2003.
3
10200
2560
00:25
Now, I don't know about you,
but I don't buy that.
4
13560
3096
00:28
I don't think we quite won this war yet,
5
16680
2056
00:30
and I don't think
anyone here will question that.
6
18760
2640
00:33
Now, I will argue that a primary reason
7
21800
2496
00:36
why we're not winning
this war against cancer
8
24320
2136
00:38
is because we're fighting blindly.
9
26480
2296
00:40
I'm going to start by sharing with you
a story about a good friend of mine.
10
28800
3575
00:44
His name is Ehud,
11
32400
1216
00:45
and a few years ago,
Ehud was diagnosed with brain cancer.
12
33640
3136
00:48
And not just any type of brain cancer:
13
36800
1856
00:50
he was diagnosed with one
of the most deadly forms of brain cancer.
14
38680
3176
00:53
In fact, it was so deadly
15
41880
1216
00:55
that the doctors told him
that they only have 12 months,
16
43120
2656
00:57
and during those 12 months,
they have to find a treatment.
17
45800
3416
01:01
They have to find a cure,
18
49240
1456
01:02
and if they cannot
find a cure, he will die.
19
50720
2160
01:05
Now, the good news, they said,
20
53800
1456
01:07
is that there are tons
of different treatments to choose from,
21
55280
2936
01:10
but the bad news is
22
58240
1216
01:11
that in order for them to tell
if a treatment is even working or not,
23
59480
3536
01:15
well, that takes them
about three months or so.
24
63040
2496
01:17
So they cannot try that many things.
25
65560
2376
01:19
Well, Ehud is now going
into his first treatment,
26
67960
3096
01:23
and during that first treatment,
just a few days into that treatment,
27
71080
3256
01:26
I'm meeting with him, and he tells me,
"Adam, I think this is working.
28
74360
3336
01:29
I think we really lucked out here.
Something is happening."
29
77720
2816
01:32
And I ask him, "Really?
How do you know that, Ehud?"
30
80560
2456
01:35
And he says, "Well,
I feel so terrible inside.
31
83040
2216
01:37
Something's gotta be working up there.
32
85280
1856
01:39
It just has to."
33
87160
1216
01:40
Well, unfortunately, three months later,
we got the news, it didn't work.
34
88400
4440
01:45
And so Ehud goes
into his second treatment.
35
93520
2056
01:47
And again, the same story.
36
95600
1256
01:48
"It feels so bad, something's
gotta be working there."
37
96880
2736
01:51
And then three months later,
again we get bad news.
38
99640
2936
01:54
Ehud is going into his third treatment,
and then his fourth treatment.
39
102600
3936
01:58
And then, as predicted, Ehud dies.
40
106560
2520
02:01
Now, when someone really close to you
is going through such a huge struggle,
41
109800
4576
02:06
you get really swamped with emotions.
42
114400
1816
02:08
A lot of things
are going through your head.
43
116240
2096
02:10
For me, it was mostly outrage.
44
118360
1456
02:11
I was just outraged that, how come
this is the best that we can offer?
45
119840
4696
02:16
And I started looking
more and more into this.
46
124560
2296
02:18
As it turns out, this is not just
the best that doctors could offer Ehud.
47
126880
3456
02:22
It's not just the best doctors could offer
patients with brain cancer generally.
48
130360
3816
02:26
We're actually not doing that well
all across the board with cancer.
49
134200
3200
02:30
I picked up one of those statistics,
50
138240
1856
02:32
and I'm sure some of you
have seen those statistics before.
51
140120
2776
02:34
This is going to show you here
how many patients actually died of cancer,
52
142920
3456
02:38
in this case females in the United States,
53
146400
2016
02:40
ever since the 1930s.
54
148440
1296
02:41
You'll notice that there aren't
that many things that have changed.
55
149760
3176
02:44
It's still a huge issue.
56
152960
1296
02:46
You'll see a few changes, though.
57
154280
1736
02:48
You'll see lung cancer,
for example, on the rise.
58
156040
2536
02:50
Thank you, cigarettes.
59
158600
1200
02:52
And you'll also see that,
for example, stomach cancer
60
160360
2496
02:54
once used to be one
of the biggest killers of all cancers,
61
162880
3336
02:58
is essentially eliminated.
62
166240
1440
03:00
Now, why is that?
Anyone knows, by the way?
63
168480
2056
03:02
Why is it that humanity is no longer
struck by stomach cancer?
64
170560
3336
03:05
What was the huge, huge
medical technology breakthrough
65
173920
4856
03:10
that came to our world
that saved humanity from stomach cancer?
66
178800
3360
03:15
Was it maybe a new drug,
or a better diagnostic?
67
183240
3816
03:19
You guys are right, yeah.
68
187080
1296
03:20
It's the invention of the refrigerator,
69
188400
2616
03:23
and the fact that we're
no longer eating spoiled meats.
70
191040
2616
03:25
So the best thing
that happened to us so far
71
193680
2296
03:28
in the medical arena in cancer research
72
196000
1936
03:29
is the fact that
the refrigerator was invented.
73
197960
2191
03:32
(Laughter)
74
200175
1201
03:33
And so -- yeah, I know.
75
201400
1256
03:34
We're not doing so well here.
76
202680
1416
03:36
I don't want to miniaturize the progress
77
204120
2336
03:38
and everything that's been done
in cancer research.
78
206480
3376
03:41
Look, there is like 50-plus years
of good cancer research
79
209880
3416
03:45
that discovered major, major things
that taught us about cancer.
80
213320
3416
03:48
But all that said,
81
216760
1736
03:50
we have a lot of heavy lifting
to still do ahead of us.
82
218520
2572
03:54
Again, I will argue that the primary
reason why this is the case,
83
222920
3096
03:58
why we have not done that remarkably well,
84
226040
2000
04:00
is really we're fighting blindly here.
85
228064
1832
04:01
And this is where
medical imaging comes in.
86
229920
2216
04:04
This is where my own work comes in.
87
232160
1680
04:06
And so to give you a sense
of the best medical imaging
88
234400
2736
04:09
that's offered today
to brain cancer patients,
89
237160
2496
04:11
or actually generally
to all cancer patients,
90
239680
2176
04:13
take a look at this PET scan right here.
91
241880
1936
04:15
Let's see. There we go.
92
243840
1240
04:17
So this is a PET/CT scan,
93
245640
1696
04:19
and what you'll see in this PET/CT scan
94
247360
2456
04:21
is the CT scan will show you
where the bones are,
95
249840
3216
04:25
and the PET scan will show you
where tumors are.
96
253080
2400
04:27
Now, what you can see here
97
255960
2216
04:30
is essentially a sugar molecule
98
258200
2416
04:32
that was added a small little tag
99
260640
1816
04:34
that is signaling to us
outside of the body,
100
262480
2096
04:36
"Hey, I'm here."
101
264600
1296
04:37
And those sugar molecules are injected
into these patients by the billions,
102
265920
3816
04:41
and they're going all over the body
103
269760
1696
04:43
looking for cells
that are hungry for sugar.
104
271480
2080
04:46
You'll see that the heart,
for example, lights up there.
105
274320
2656
04:49
That's because the heart
needs a lot of sugar.
106
277000
2216
04:51
You'll also see that the bladder
lights up there.
107
279240
2336
04:53
That's because the bladder
is the thing that's clearing
108
281600
2616
04:56
the sugar away from our body.
109
284240
1400
04:58
And then you'll see a few other hot spots,
110
286096
2000
05:00
and these are in fact the tumors.
111
288120
1616
05:01
Now, this is a really
a wonderful technology.
112
289760
2136
05:03
For the first time it allowed us
to look into someone's body
113
291920
3136
05:07
without picking up
each and every one of the cells
114
295080
2376
05:09
and putting them under the microscope,
115
297480
1856
05:11
but in a noninvasive way
allowing us to look into someone's body
116
299360
3016
05:14
and ask, "Hey,
has the cancer metastasized?
117
302400
2136
05:16
Where is it?"
118
304560
1216
05:17
And the PET scans here
are showing you very clearly
119
305800
2496
05:20
where are these hot spots,
where is the tumor.
120
308320
2280
05:23
So as miraculous as this might seem,
121
311480
3296
05:26
unfortunately, well, it's not that great.
122
314800
2880
05:30
You see, those
small little hot spots there.
123
318320
2080
05:33
Can anyone guess how many cancer cells
are in any one of these tumors?
124
321240
3520
05:38
So it's about 100 million cancer cells,
125
326600
2336
05:40
and let me make sure
that this number sunk in.
126
328960
2696
05:43
In each and every one
of these small little blips
127
331680
2336
05:46
that you're seeing on the image,
128
334040
1576
05:47
there needs to be
at least 100 million cancer cells
129
335640
4096
05:51
in order for it to be detected.
130
339760
1536
05:53
Now, if that seemed to you
like a very large number,
131
341320
2456
05:55
it is a very large number.
132
343800
1680
05:58
This is in fact
an incredibly large number,
133
346640
2056
06:00
because what we really need
in order to pick up something early enough
134
348720
3336
06:04
to do something about it,
to do something meaningful about it,
135
352080
2936
06:07
well, we need to pick up tumors
that are a thousand cells in size,
136
355040
3136
06:10
and ideally just
a handful of cells in size.
137
358200
2136
06:12
So we're clearly
pretty far away from this.
138
360360
2016
06:14
So we're going to play
a little experiment here.
139
362400
2256
06:16
I'm going to ask each of you
to now play and imagine
140
364680
2456
06:19
that you are brain surgeons.
141
367160
1360
06:21
And you guys are now at an operating room,
142
369000
4016
06:25
and there's a patient in front of you,
143
373040
2016
06:27
and your task is to make sure
that the tumor is out.
144
375080
3720
06:31
So you're looking down at the patient,
145
379400
3376
06:34
the skin and the skull
have already been removed,
146
382800
2336
06:37
so you're looking at the brain.
147
385160
1536
06:38
And all you know about this patient
148
386720
1696
06:40
is that there's a tumor
about the size of a golf ball or so
149
388440
2816
06:43
in the right frontal lobe
of this person's brain.
150
391280
2320
06:46
And that's more or less it.
151
394080
1336
06:47
So you're looking down, and unfortunately
everything looks the same,
152
395440
3216
06:50
because brain cancer tissue
and healthy brain tissue
153
398680
3096
06:53
really just look the same.
154
401800
1576
06:55
And so you're going in with your thumb,
155
403400
1896
06:57
and you start to press
a little bit on the brain,
156
405320
2336
06:59
because tumors tend to be
a little harder, stiffer,
157
407680
2416
07:02
and so you go in and go
a little bit like this and say,
158
410120
2616
07:04
"It seems like the tumor is right there."
159
412760
1976
07:06
Then you take out your knife
and start cutting the tumor
160
414760
2656
07:09
piece by piece by piece.
161
417440
1256
07:10
And as you're taking the tumor out,
162
418720
1696
07:12
then you're getting
to a stage where you think,
163
420440
2216
07:14
"Alright, I'm done.
I took out everything."
164
422680
2136
07:16
And at this stage, if that's --
165
424840
1536
07:18
so far everything sounded,
like, pretty crazy --
166
426400
2696
07:21
you're now about to face the most
challenging decision of your life here.
167
429120
3696
07:24
Because now you need to decide,
168
432840
1536
07:26
should I stop here
and let this patient go,
169
434400
2696
07:29
risking that there might be
some leftover cancer cells behind
170
437120
2936
07:32
that I just couldn't see,
171
440080
1856
07:33
or should I take away some extra margins,
172
441960
2656
07:36
typically about an inch or so
around the tumor
173
444640
2856
07:39
just to be sure that I removed everything?
174
447520
2200
07:43
So this is not a simple decision to make,
175
451400
3840
07:47
and unfortunately this is the decision
176
455840
1936
07:49
that brain cancer surgeons
have to take every single day
177
457800
3336
07:53
as they're seeing their patients.
178
461160
1600
07:55
And so I remember talking
to a few friends of mine in the lab,
179
463320
2936
07:58
and we say, "Boy,
there's got to be a better way."
180
466280
2376
08:00
But not just like you tell a friend
that there's got to be a better way.
181
468680
3416
08:04
There's just got to be a better way here.
182
472120
1953
08:06
This is just incredible.
183
474097
1519
08:07
And so we looked back.
184
475640
1656
08:09
Remember those PET scans I told you about,
the sugar and so on.
185
477320
2976
08:12
We said, hey, how about
instead of using sugar molecules,
186
480320
2736
08:15
let's maybe take tiny, tiny
little particles made of gold,
187
483080
3136
08:18
and let's program them with some
interesting chemistry around them.
188
486240
3656
08:21
Let's program them
to look for cancer cells.
189
489920
2416
08:24
And then we will inject
these gold particles
190
492360
2096
08:26
into these patients by the billions again,
191
494480
2256
08:28
and we'll have them go all over the body,
192
496760
1976
08:30
and just like secret agents, if you will,
193
498760
1976
08:32
go and walk by
every single cell in our body
194
500760
2816
08:35
and knock on the door of that cell,
195
503600
1696
08:37
and ask, "Are you a cancer cell
or are you a healthy cell?
196
505320
2736
08:40
If you're a healthy cell, we're moving on.
197
508080
2016
08:42
If you're a cancer cell,
we're sticking in and shining out
198
510120
2736
08:44
and telling us,
"Hey, look at me, I'm here."
199
512880
2096
08:47
And they'll do it
through some interesting cameras
200
515000
2376
08:49
that we developed in the lab.
201
517400
1416
08:50
And once we see that,
maybe we can guide brain cancer surgeons
202
518840
2935
08:53
towards taking only the tumor
and leaving the healthy brain alone.
203
521799
3401
08:57
And so we've tested that,
and boy, this works well.
204
525720
3056
09:00
So I'm going to show you an example now.
205
528800
1976
09:02
What you're looking at here
206
530800
1776
09:04
is an image of a mouse's brain,
207
532600
3936
09:08
and we've implanted
into this mouse's brain
208
536560
3136
09:11
a small little tumor.
209
539720
1256
09:13
And so this tumor is now
growing in this mouse's brain,
210
541000
2616
09:15
and then we've taken a doctor
and asked the doctor
211
543640
2656
09:18
to please operate on the mouse
as if that was a patient,
212
546320
2816
09:21
and take out piece by piece
out of the tumor.
213
549160
2416
09:23
And while he's doing that,
214
551600
1776
09:25
we're going to take images
to see where the gold particles are.
215
553400
2976
09:28
And so we're going to first start
216
556400
1616
09:30
by injecting these gold particles
into this mouse,
217
558040
2416
09:32
and we're going to see
right here at the very left there
218
560480
2896
09:35
that image at the bottom
219
563400
1256
09:36
is the image that shows
where the gold particles are.
220
564680
2496
09:39
The nice thing
is that these gold particles
221
567200
2056
09:41
actually made it all the way to the tumor,
222
569280
2016
09:43
and then they shine out and tell us,
"Hey, we're here. Here's the tumor."
223
571320
3656
09:47
So now we can see the tumor,
224
575000
1376
09:48
but we're not showing this
to the doctor yet.
225
576400
2136
09:50
We're asking the doctor,
now please start cutting away the tumor,
226
578560
3056
09:53
and you'll see here the doctor
just took the first quadrant of the tumor
227
581640
3416
09:57
and you see that first quadrant
is now missing.
228
585080
2216
09:59
The doctor then took
the second quadrant, the third,
229
587320
2456
10:01
and now it appears to be everything.
230
589800
1736
10:03
And so at this stage,
the doctor came back to us and said,
231
591560
2736
10:06
"Alright, I'm done.
What do you want me to do?
232
594320
2256
10:08
Should I keep things as they are
233
596600
1576
10:10
or do you want me to take
some extra margins around?"
234
598200
2496
10:12
And then we said, "Well, hang on."
235
600720
1656
10:14
We told the doctor,
"You've missed those two spots,
236
602400
2416
10:16
so rather than taking huge margins around,
237
604840
2000
10:18
only take out those tiny little areas.
238
606864
1832
10:20
Take them out,
and then let's take a look."
239
608720
2016
10:22
And so the doctor took them away,
and lo and behold,
240
610760
2856
10:25
the cancer is now completely gone.
241
613640
2016
10:27
Now, the important thing
242
615680
1376
10:29
is that it's not just
that the cancer is completely gone
243
617080
2620
10:31
from this person's brain,
244
619724
1332
10:33
or from this mouse's brain.
245
621080
1320
10:35
The most important thing
246
623160
1256
10:36
is that we did not have to take
huge amounts of healthy brain
247
624440
2896
10:39
in the process.
248
627360
1216
10:40
And so now we can actually imagine a world
249
628600
2176
10:42
where doctors and surgeons,
as they take away a tumor,
250
630800
3896
10:46
they actually know what to take out,
251
634720
1420
10:48
and they no longer
have to guess with their thumb.
252
636170
2110
10:51
Now, here's why it's extremely important
to take those tiny little leftover tumors.
253
639520
3936
10:55
Those leftover tumors,
even if it's just a handful of cells,
254
643480
2856
10:58
they will grow to recur the tumor,
255
646360
3056
11:01
for the tumor to come back.
256
649440
1656
11:03
In fact, the reason why 80 to 90 percent
257
651120
1936
11:05
of those brain cancer surgeries
ultimately fail
258
653080
2216
11:07
is because of those small little
extra margins that were left positive,
259
655320
3776
11:11
those small little leftover tumors
that were left there.
260
659120
2680
11:15
So this is clearly very nice,
261
663440
2176
11:17
but what I really want to share with you
is where I think we're heading from here.
262
665640
4296
11:21
And so in my lab at Stanford,
263
669960
1656
11:23
my students and I are asking,
what should we be working on now?
264
671640
5520
11:29
And I think where
medical imaging is heading to
265
677600
2856
11:32
is the ability to look into the human body
266
680480
2336
11:34
and actually see each and every one
of these cells separately.
267
682840
3440
11:39
The ability like this would allow us
268
687000
1736
11:40
to actually pick up tumors
way, way earlier in the process,
269
688760
2896
11:43
way before it's 100 million cells inside,
so we can actually do something about it.
270
691680
3920
11:48
An ability to see each and every one
of the cells might also allow us
271
696200
3416
11:51
to ask insightful questions.
272
699640
1376
11:53
So in the lab,
we are now getting to a point
273
701040
2096
11:55
where we can actually start asking
these cancer cells real questions,
274
703160
3256
11:58
like, for example, are you responding
to the treatment we are giving you or not?
275
706440
3776
12:02
So if you're not responding, we'll know
to stop the treatment right away,
276
710240
3456
12:05
days into the treatment, not three months.
277
713720
2040
12:08
And so also for patients like Ehud
278
716480
2176
12:10
that are going through these
nasty, nasty chemotherapy drugs,
279
718680
4416
12:15
for them not to suffer
280
723120
1256
12:16
through those horrendous
side effects of the drugs
281
724400
2896
12:19
when the drugs are
in fact not even helping them.
282
727320
2656
12:22
So to be frank here,
283
730000
2936
12:24
we're pretty far away
from winning the war against cancer,
284
732960
3456
12:28
just to be realistic.
285
736440
1256
12:29
But at least I am hopeful
286
737720
1896
12:31
that we should be able to fight this war
with better medical imaging techniques
287
739640
4136
12:35
in the way that is not blind.
288
743800
1856
12:37
Thank you.
289
745680
1216
12:38
(Applause)
290
746920
2240

▲Back to top

ABOUT THE SPEAKER
Adam de la Zerda - Biologist, electrical engineer
Adam de la Zerda develops new medical imaging technologies to detect and destroy cancer.

Why you should listen

Adam de la Zerda is an assistant professor at the Departments of Structural Biology and Electrical Engineering (courtesy) at Stanford University – School of Medicine. He completed his undergraduate degree in computer engineering and physics from the Technion – Israel Institute of Technology in 2005 Summa Cum Laude. He received his Ph.D. in Electrical Engineering from Stanford University in 2011, where he developed the Photoacoustic Molecular Imaging technique with Sanjiv Sam Gambhir. He was then a postdoctoral fellow at the lab of Carolyn Bertozzi at UC Berkeley – Chemistry Department, before joining the Stanford faculty in 2012.

de la Zerda's research interests span the broad field of molecular imaging. His lab focuses on developing new optical imaging instrumentation and chemistry tools to study the complex spatiotemporal behavior of biomolecules in living subjects. The lab uses animal models for cancer and ophthalmic diseases such as age-related macular degeneration. His research efforts span both basic science and clinically translatable work.

de la Zerda has received many awards and honors for his work, including the Pew-Stewart Scholar for Cancer Research, the AFOSR Young Investigator Award, Baxter Faculty Scholar Award, Dale F. Frey Award, Forbes Magazine 30 Under 30 in Science and Healthcare for 2012 and 2014, NIH Director’s Early Independence Award, Damon Runyon Cancer Research Foundation Postdoctoral Fellowship, Era of Hope Distinguished Predoctoral Poster Award, Best Poster Presentation at SPIE Photonics West, the Young Investigator Award at the World Molecular Imaging Congress, the Department of Defense Breast Cancer Research Program Award for Predoctoral researchers, the Bio-X Graduate Student Fellowship and first place at the Bay Area Entrepreneurship Contest. He has published papers in leading journals including Nature Medicine, Nature Nanotechnology and PNAS. He holds a number of patents and is the founder of a medical device company, Click Diagnostics.

More profile about the speaker
Adam de la Zerda | Speaker | TED.com