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

62,290 views ・ 2016-10-26

TED


Please double-click on the English subtitles below to play the video.

00:12
"We're declaring war against cancer,
0
12880
1855
00:14
and we will win this war by 2015."
1
14760
2600
00:18
This is what the US Congress and the National Cancer Institute declared
2
18440
3736
00:22
just a few years ago, in 2003.
3
22200
2560
00:25
Now, I don't know about you, but I don't buy that.
4
25560
3096
00:28
I don't think we quite won this war yet,
5
28680
2056
00:30
and I don't think anyone here will question that.
6
30760
2640
00:33
Now, I will argue that a primary reason
7
33800
2496
00:36
why we're not winning this war against cancer
8
36320
2136
00:38
is because we're fighting blindly.
9
38480
2296
00:40
I'm going to start by sharing with you a story about a good friend of mine.
10
40800
3575
00:44
His name is Ehud,
11
44400
1216
00:45
and a few years ago, Ehud was diagnosed with brain cancer.
12
45640
3136
00:48
And not just any type of brain cancer:
13
48800
1856
00:50
he was diagnosed with one of the most deadly forms of brain cancer.
14
50680
3176
00:53
In fact, it was so deadly
15
53880
1216
00:55
that the doctors told him that they only have 12 months,
16
55120
2656
00:57
and during those 12 months, they have to find a treatment.
17
57800
3416
01:01
They have to find a cure,
18
61240
1456
01:02
and if they cannot find a cure, he will die.
19
62720
2160
01:05
Now, the good news, they said,
20
65800
1456
01:07
is that there are tons of different treatments to choose from,
21
67280
2936
01:10
but the bad news is
22
70240
1216
01:11
that in order for them to tell if a treatment is even working or not,
23
71480
3536
01:15
well, that takes them about three months or so.
24
75040
2496
01:17
So they cannot try that many things.
25
77560
2376
01:19
Well, Ehud is now going into his first treatment,
26
79960
3096
01:23
and during that first treatment, just a few days into that treatment,
27
83080
3256
01:26
I'm meeting with him, and he tells me, "Adam, I think this is working.
28
86360
3336
01:29
I think we really lucked out here. Something is happening."
29
89720
2816
01:32
And I ask him, "Really? How do you know that, Ehud?"
30
92560
2456
01:35
And he says, "Well, I feel so terrible inside.
31
95040
2216
01:37
Something's gotta be working up there.
32
97280
1856
01:39
It just has to."
33
99160
1216
01:40
Well, unfortunately, three months later, we got the news, it didn't work.
34
100400
4440
01:45
And so Ehud goes into his second treatment.
35
105520
2056
01:47
And again, the same story.
36
107600
1256
01:48
"It feels so bad, something's gotta be working there."
37
108880
2736
01:51
And then three months later, again we get bad news.
38
111640
2936
01:54
Ehud is going into his third treatment, and then his fourth treatment.
39
114600
3936
01:58
And then, as predicted, Ehud dies.
40
118560
2520
02:01
Now, when someone really close to you is going through such a huge struggle,
41
121800
4576
02:06
you get really swamped with emotions.
42
126400
1816
02:08
A lot of things are going through your head.
43
128240
2096
02:10
For me, it was mostly outrage.
44
130360
1456
02:11
I was just outraged that, how come this is the best that we can offer?
45
131840
4696
02:16
And I started looking more and more into this.
46
136560
2296
02:18
As it turns out, this is not just the best that doctors could offer Ehud.
47
138880
3456
02:22
It's not just the best doctors could offer patients with brain cancer generally.
48
142360
3816
02:26
We're actually not doing that well all across the board with cancer.
49
146200
3200
02:30
I picked up one of those statistics,
50
150240
1856
02:32
and I'm sure some of you have seen those statistics before.
51
152120
2776
02:34
This is going to show you here how many patients actually died of cancer,
52
154920
3456
02:38
in this case females in the United States,
53
158400
2016
02:40
ever since the 1930s.
54
160440
1296
02:41
You'll notice that there aren't that many things that have changed.
55
161760
3176
02:44
It's still a huge issue.
56
164960
1296
02:46
You'll see a few changes, though.
57
166280
1736
02:48
You'll see lung cancer, for example, on the rise.
58
168040
2536
02:50
Thank you, cigarettes.
59
170600
1200
02:52
And you'll also see that, for example, stomach cancer
60
172360
2496
02:54
once used to be one of the biggest killers of all cancers,
61
174880
3336
02:58
is essentially eliminated.
62
178240
1440
03:00
Now, why is that? Anyone knows, by the way?
63
180480
2056
03:02
Why is it that humanity is no longer struck by stomach cancer?
64
182560
3336
03:05
What was the huge, huge medical technology breakthrough
65
185920
4856
03:10
that came to our world that saved humanity from stomach cancer?
66
190800
3360
03:15
Was it maybe a new drug, or a better diagnostic?
67
195240
3816
03:19
You guys are right, yeah.
68
199080
1296
03:20
It's the invention of the refrigerator,
69
200400
2616
03:23
and the fact that we're no longer eating spoiled meats.
70
203040
2616
03:25
So the best thing that happened to us so far
71
205680
2296
03:28
in the medical arena in cancer research
72
208000
1936
03:29
is the fact that the refrigerator was invented.
73
209960
2191
03:32
(Laughter)
74
212175
1201
03:33
And so -- yeah, I know.
75
213400
1256
03:34
We're not doing so well here.
76
214680
1416
03:36
I don't want to miniaturize the progress
77
216120
2336
03:38
and everything that's been done in cancer research.
78
218480
3376
03:41
Look, there is like 50-plus years of good cancer research
79
221880
3416
03:45
that discovered major, major things that taught us about cancer.
80
225320
3416
03:48
But all that said,
81
228760
1736
03:50
we have a lot of heavy lifting to still do ahead of us.
82
230520
2572
03:54
Again, I will argue that the primary reason why this is the case,
83
234920
3096
03:58
why we have not done that remarkably well,
84
238040
2000
04:00
is really we're fighting blindly here.
85
240064
1832
04:01
And this is where medical imaging comes in.
86
241920
2216
04:04
This is where my own work comes in.
87
244160
1680
04:06
And so to give you a sense of the best medical imaging
88
246400
2736
04:09
that's offered today to brain cancer patients,
89
249160
2496
04:11
or actually generally to all cancer patients,
90
251680
2176
04:13
take a look at this PET scan right here.
91
253880
1936
04:15
Let's see. There we go.
92
255840
1240
04:17
So this is a PET/CT scan,
93
257640
1696
04:19
and what you'll see in this PET/CT scan
94
259360
2456
04:21
is the CT scan will show you where the bones are,
95
261840
3216
04:25
and the PET scan will show you where tumors are.
96
265080
2400
04:27
Now, what you can see here
97
267960
2216
04:30
is essentially a sugar molecule
98
270200
2416
04:32
that was added a small little tag
99
272640
1816
04:34
that is signaling to us outside of the body,
100
274480
2096
04:36
"Hey, I'm here."
101
276600
1296
04:37
And those sugar molecules are injected into these patients by the billions,
102
277920
3816
04:41
and they're going all over the body
103
281760
1696
04:43
looking for cells that are hungry for sugar.
104
283480
2080
04:46
You'll see that the heart, for example, lights up there.
105
286320
2656
04:49
That's because the heart needs a lot of sugar.
106
289000
2216
04:51
You'll also see that the bladder lights up there.
107
291240
2336
04:53
That's because the bladder is the thing that's clearing
108
293600
2616
04:56
the sugar away from our body.
109
296240
1400
04:58
And then you'll see a few other hot spots,
110
298096
2000
05:00
and these are in fact the tumors.
111
300120
1616
05:01
Now, this is a really a wonderful technology.
112
301760
2136
05:03
For the first time it allowed us to look into someone's body
113
303920
3136
05:07
without picking up each and every one of the cells
114
307080
2376
05:09
and putting them under the microscope,
115
309480
1856
05:11
but in a noninvasive way allowing us to look into someone's body
116
311360
3016
05:14
and ask, "Hey, has the cancer metastasized?
117
314400
2136
05:16
Where is it?"
118
316560
1216
05:17
And the PET scans here are showing you very clearly
119
317800
2496
05:20
where are these hot spots, where is the tumor.
120
320320
2280
05:23
So as miraculous as this might seem,
121
323480
3296
05:26
unfortunately, well, it's not that great.
122
326800
2880
05:30
You see, those small little hot spots there.
123
330320
2080
05:33
Can anyone guess how many cancer cells are in any one of these tumors?
124
333240
3520
05:38
So it's about 100 million cancer cells,
125
338600
2336
05:40
and let me make sure that this number sunk in.
126
340960
2696
05:43
In each and every one of these small little blips
127
343680
2336
05:46
that you're seeing on the image,
128
346040
1576
05:47
there needs to be at least 100 million cancer cells
129
347640
4096
05:51
in order for it to be detected.
130
351760
1536
05:53
Now, if that seemed to you like a very large number,
131
353320
2456
05:55
it is a very large number.
132
355800
1680
05:58
This is in fact an incredibly large number,
133
358640
2056
06:00
because what we really need in order to pick up something early enough
134
360720
3336
06:04
to do something about it, to do something meaningful about it,
135
364080
2936
06:07
well, we need to pick up tumors that are a thousand cells in size,
136
367040
3136
06:10
and ideally just a handful of cells in size.
137
370200
2136
06:12
So we're clearly pretty far away from this.
138
372360
2016
06:14
So we're going to play a little experiment here.
139
374400
2256
06:16
I'm going to ask each of you to now play and imagine
140
376680
2456
06:19
that you are brain surgeons.
141
379160
1360
06:21
And you guys are now at an operating room,
142
381000
4016
06:25
and there's a patient in front of you,
143
385040
2016
06:27
and your task is to make sure that the tumor is out.
144
387080
3720
06:31
So you're looking down at the patient,
145
391400
3376
06:34
the skin and the skull have already been removed,
146
394800
2336
06:37
so you're looking at the brain.
147
397160
1536
06:38
And all you know about this patient
148
398720
1696
06:40
is that there's a tumor about the size of a golf ball or so
149
400440
2816
06:43
in the right frontal lobe of this person's brain.
150
403280
2320
06:46
And that's more or less it.
151
406080
1336
06:47
So you're looking down, and unfortunately everything looks the same,
152
407440
3216
06:50
because brain cancer tissue and healthy brain tissue
153
410680
3096
06:53
really just look the same.
154
413800
1576
06:55
And so you're going in with your thumb,
155
415400
1896
06:57
and you start to press a little bit on the brain,
156
417320
2336
06:59
because tumors tend to be a little harder, stiffer,
157
419680
2416
07:02
and so you go in and go a little bit like this and say,
158
422120
2616
07:04
"It seems like the tumor is right there."
159
424760
1976
07:06
Then you take out your knife and start cutting the tumor
160
426760
2656
07:09
piece by piece by piece.
161
429440
1256
07:10
And as you're taking the tumor out,
162
430720
1696
07:12
then you're getting to a stage where you think,
163
432440
2216
07:14
"Alright, I'm done. I took out everything."
164
434680
2136
07:16
And at this stage, if that's --
165
436840
1536
07:18
so far everything sounded, like, pretty crazy --
166
438400
2696
07:21
you're now about to face the most challenging decision of your life here.
167
441120
3696
07:24
Because now you need to decide,
168
444840
1536
07:26
should I stop here and let this patient go,
169
446400
2696
07:29
risking that there might be some leftover cancer cells behind
170
449120
2936
07:32
that I just couldn't see,
171
452080
1856
07:33
or should I take away some extra margins,
172
453960
2656
07:36
typically about an inch or so around the tumor
173
456640
2856
07:39
just to be sure that I removed everything?
174
459520
2200
07:43
So this is not a simple decision to make,
175
463400
3840
07:47
and unfortunately this is the decision
176
467840
1936
07:49
that brain cancer surgeons have to take every single day
177
469800
3336
07:53
as they're seeing their patients.
178
473160
1600
07:55
And so I remember talking to a few friends of mine in the lab,
179
475320
2936
07:58
and we say, "Boy, there's got to be a better way."
180
478280
2376
08:00
But not just like you tell a friend that there's got to be a better way.
181
480680
3416
08:04
There's just got to be a better way here.
182
484120
1953
08:06
This is just incredible.
183
486097
1519
08:07
And so we looked back.
184
487640
1656
08:09
Remember those PET scans I told you about, the sugar and so on.
185
489320
2976
08:12
We said, hey, how about instead of using sugar molecules,
186
492320
2736
08:15
let's maybe take tiny, tiny little particles made of gold,
187
495080
3136
08:18
and let's program them with some interesting chemistry around them.
188
498240
3656
08:21
Let's program them to look for cancer cells.
189
501920
2416
08:24
And then we will inject these gold particles
190
504360
2096
08:26
into these patients by the billions again,
191
506480
2256
08:28
and we'll have them go all over the body,
192
508760
1976
08:30
and just like secret agents, if you will,
193
510760
1976
08:32
go and walk by every single cell in our body
194
512760
2816
08:35
and knock on the door of that cell,
195
515600
1696
08:37
and ask, "Are you a cancer cell or are you a healthy cell?
196
517320
2736
08:40
If you're a healthy cell, we're moving on.
197
520080
2016
08:42
If you're a cancer cell, we're sticking in and shining out
198
522120
2736
08:44
and telling us, "Hey, look at me, I'm here."
199
524880
2096
08:47
And they'll do it through some interesting cameras
200
527000
2376
08:49
that we developed in the lab.
201
529400
1416
08:50
And once we see that, maybe we can guide brain cancer surgeons
202
530840
2935
08:53
towards taking only the tumor and leaving the healthy brain alone.
203
533799
3401
08:57
And so we've tested that, and boy, this works well.
204
537720
3056
09:00
So I'm going to show you an example now.
205
540800
1976
09:02
What you're looking at here
206
542800
1776
09:04
is an image of a mouse's brain,
207
544600
3936
09:08
and we've implanted into this mouse's brain
208
548560
3136
09:11
a small little tumor.
209
551720
1256
09:13
And so this tumor is now growing in this mouse's brain,
210
553000
2616
09:15
and then we've taken a doctor and asked the doctor
211
555640
2656
09:18
to please operate on the mouse as if that was a patient,
212
558320
2816
09:21
and take out piece by piece out of the tumor.
213
561160
2416
09:23
And while he's doing that,
214
563600
1776
09:25
we're going to take images to see where the gold particles are.
215
565400
2976
09:28
And so we're going to first start
216
568400
1616
09:30
by injecting these gold particles into this mouse,
217
570040
2416
09:32
and we're going to see right here at the very left there
218
572480
2896
09:35
that image at the bottom
219
575400
1256
09:36
is the image that shows where the gold particles are.
220
576680
2496
09:39
The nice thing is that these gold particles
221
579200
2056
09:41
actually made it all the way to the tumor,
222
581280
2016
09:43
and then they shine out and tell us, "Hey, we're here. Here's the tumor."
223
583320
3656
09:47
So now we can see the tumor,
224
587000
1376
09:48
but we're not showing this to the doctor yet.
225
588400
2136
09:50
We're asking the doctor, now please start cutting away the tumor,
226
590560
3056
09:53
and you'll see here the doctor just took the first quadrant of the tumor
227
593640
3416
09:57
and you see that first quadrant is now missing.
228
597080
2216
09:59
The doctor then took the second quadrant, the third,
229
599320
2456
10:01
and now it appears to be everything.
230
601800
1736
10:03
And so at this stage, the doctor came back to us and said,
231
603560
2736
10:06
"Alright, I'm done. What do you want me to do?
232
606320
2256
10:08
Should I keep things as they are
233
608600
1576
10:10
or do you want me to take some extra margins around?"
234
610200
2496
10:12
And then we said, "Well, hang on."
235
612720
1656
10:14
We told the doctor, "You've missed those two spots,
236
614400
2416
10:16
so rather than taking huge margins around,
237
616840
2000
10:18
only take out those tiny little areas.
238
618864
1832
10:20
Take them out, and then let's take a look."
239
620720
2016
10:22
And so the doctor took them away, and lo and behold,
240
622760
2856
10:25
the cancer is now completely gone.
241
625640
2016
10:27
Now, the important thing
242
627680
1376
10:29
is that it's not just that the cancer is completely gone
243
629080
2620
10:31
from this person's brain,
244
631724
1332
10:33
or from this mouse's brain.
245
633080
1320
10:35
The most important thing
246
635160
1256
10:36
is that we did not have to take huge amounts of healthy brain
247
636440
2896
10:39
in the process.
248
639360
1216
10:40
And so now we can actually imagine a world
249
640600
2176
10:42
where doctors and surgeons, as they take away a tumor,
250
642800
3896
10:46
they actually know what to take out,
251
646720
1420
10:48
and they no longer have to guess with their thumb.
252
648170
2110
10:51
Now, here's why it's extremely important to take those tiny little leftover tumors.
253
651520
3936
10:55
Those leftover tumors, even if it's just a handful of cells,
254
655480
2856
10:58
they will grow to recur the tumor,
255
658360
3056
11:01
for the tumor to come back.
256
661440
1656
11:03
In fact, the reason why 80 to 90 percent
257
663120
1936
11:05
of those brain cancer surgeries ultimately fail
258
665080
2216
11:07
is because of those small little extra margins that were left positive,
259
667320
3776
11:11
those small little leftover tumors that were left there.
260
671120
2680
11:15
So this is clearly very nice,
261
675440
2176
11:17
but what I really want to share with you is where I think we're heading from here.
262
677640
4296
11:21
And so in my lab at Stanford,
263
681960
1656
11:23
my students and I are asking, what should we be working on now?
264
683640
5520
11:29
And I think where medical imaging is heading to
265
689600
2856
11:32
is the ability to look into the human body
266
692480
2336
11:34
and actually see each and every one of these cells separately.
267
694840
3440
11:39
The ability like this would allow us
268
699000
1736
11:40
to actually pick up tumors way, way earlier in the process,
269
700760
2896
11:43
way before it's 100 million cells inside, so we can actually do something about it.
270
703680
3920
11:48
An ability to see each and every one of the cells might also allow us
271
708200
3416
11:51
to ask insightful questions.
272
711640
1376
11:53
So in the lab, we are now getting to a point
273
713040
2096
11:55
where we can actually start asking these cancer cells real questions,
274
715160
3256
11:58
like, for example, are you responding to the treatment we are giving you or not?
275
718440
3776
12:02
So if you're not responding, we'll know to stop the treatment right away,
276
722240
3456
12:05
days into the treatment, not three months.
277
725720
2040
12:08
And so also for patients like Ehud
278
728480
2176
12:10
that are going through these nasty, nasty chemotherapy drugs,
279
730680
4416
12:15
for them not to suffer
280
735120
1256
12:16
through those horrendous side effects of the drugs
281
736400
2896
12:19
when the drugs are in fact not even helping them.
282
739320
2656
12:22
So to be frank here,
283
742000
2936
12:24
we're pretty far away from winning the war against cancer,
284
744960
3456
12:28
just to be realistic.
285
748440
1256
12:29
But at least I am hopeful
286
749720
1896
12:31
that we should be able to fight this war with better medical imaging techniques
287
751640
4136
12:35
in the way that is not blind.
288
755800
1856
12:37
Thank you.
289
757680
1216
12:38
(Applause)
290
758920
2240
About this website

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

https://forms.gle/WvT1wiN1qDtmnspy7