ABOUT THE SPEAKER
Jimmy Lin - Geneticist
TED Fellow Jimmy Lin is developing technologies to catch cancer early.

Why you should listen

C. Jimmy Lin, MD, PhD, MHS is the Chief Scientific Officer (CSO), Oncology at Natera and a TED Fellow. He comes from a long history as a pioneer in cancer genomics. Most recently, he led the clinical genomics program at the National Cancer Institute (NCI) at the National Institutes of Health (NIH). Previously, at Johns Hopkins and Washington University in St. Louis, Lin was part of one of the first clinical genomics labs in academia and led the computational analyses of the first ever exome sequencing studies in cancer, including breast, colorectal, pancreatic, glioblastoma, medulloblastoma and melanoma.

Lin has published in top academic journals, such as Science, Nature and Cell, and he has been an expert in national and international media outlets, such as New York Times, Forbes, Bloomberg BusinessweekThe Washington Post, and the Financial Times.

More profile about the speaker
Jimmy Lin | Speaker | TED.com
TED2017

Jimmy Lin: A simple new blood test that can catch cancer early

Filmed:
1,471,238 views

Jimmy Lin is developing technologies to catch cancer months to years before current methods. He shares a breakthrough technique that looks for small signals of cancer's presence via a simple blood test, detecting the recurrence of some forms of the disease 100 days earlier than traditional methods. It could be a ray of hope in a fight where early detection makes all the difference.
- Geneticist
TED Fellow Jimmy Lin is developing technologies to catch cancer early. Full bio

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

00:13
Cancer.
0
1753
1167
00:15
Many of us have lost family,
friends or loved ones
1
3301
3065
00:18
to this horrible disease.
2
6390
1680
00:20
I know there are some of you
in the audience
3
8094
2096
00:22
who are cancer survivors,
4
10214
1241
00:23
or who are fighting cancer at this moment.
5
11479
2155
00:25
My heart goes out to you.
6
13658
1991
00:27
While this word often conjures up
emotions of sadness and anger and fear,
7
15673
5274
00:32
I bring you good news
from the front lines of cancer research.
8
20971
3514
00:36
The fact is, we are starting to win
the war on cancer.
9
24509
3860
00:41
In fact, we lie at the intersection
10
29318
1703
00:43
of the three of the most exciting
developments within cancer research.
11
31045
4189
00:47
The first is cancer genomics.
12
35258
2285
00:49
The genome is a composition
13
37567
2025
00:51
of all the genetic information
encoded by DNA
14
39616
2936
00:54
in an organism.
15
42576
1367
00:55
In cancers, changes
in the DNA called mutations
16
43967
2841
00:58
are what drive these cancers
to go out of control.
17
46832
2802
01:02
Around 10 years ago,
I was part of the team at Johns Hopkins
18
50070
3292
01:05
that first mapped
the mutations of cancers.
19
53386
2598
01:08
We did this first for colorectal,
20
56008
2186
01:10
breast, pancreatic and brain cancers.
21
58218
2526
01:13
And since then, there have been
over 90 projects in 70 countries
22
61164
3512
01:16
all over the world,
23
64700
1590
01:18
working to understand
the genetic basis of these diseases.
24
66314
3375
01:21
Today, tens of thousands
of cancers are understood
25
69713
3054
01:24
down to exquisite molecular detail.
26
72791
2295
01:28
The second revolution
is precision medicine,
27
76200
2302
01:30
also known as "personalized medicine."
28
78526
2404
01:32
Instead of one-size-fits-all methods
to be able to treat cancers,
29
80954
3577
01:36
there is a whole new class of drugs
that are able to target cancers
30
84555
3655
01:40
based on their unique genetic profile.
31
88234
2207
01:42
Today, there are a host
of these tailor-made drugs,
32
90917
2930
01:45
called targeted therapies,
33
93871
1330
01:47
available to physicians even today
34
95225
2183
01:49
to be able to personalize
their therapy for their patients,
35
97432
3263
01:52
and many others are in development.
36
100719
1926
01:55
The third exciting revolution
is immunotherapy,
37
103296
3298
01:58
and this is really exciting.
38
106618
1776
02:01
Scientists have been able
to leverage the immune system
39
109045
2710
02:03
in the fight against cancer.
40
111779
1495
02:05
For example, there have been ways
where we find the off switches of cancer,
41
113832
4196
02:10
and new drugs have been able
to turn the immune system back on,
42
118052
3444
02:13
to be able to fight cancer.
43
121520
1588
02:15
In addition, there are ways
where you can take away immune cells
44
123132
4091
02:19
from the body,
45
127247
1160
02:20
train them, engineer them
and put them back into the body
46
128431
3087
02:23
to fight cancer.
47
131542
1377
02:24
Almost sounds like
science fiction, doesn't it?
48
132943
2678
02:28
While I was a researcher
at the National Cancer Institute,
49
136090
3016
02:31
I had the privilege of working
with some of the pioneers of this field
50
139130
3455
02:34
and watched the development firsthand.
51
142609
2246
02:36
It's been pretty amazing.
52
144879
1443
02:38
Today, over 600 clinical trials are open,
53
146346
3005
02:41
actively recruiting patients
to explore all aspects in immunotherapy.
54
149375
4185
02:46
While these three exciting
revolutions are ongoing,
55
154664
3061
02:49
unfortunately, this is only the beginning,
56
157749
2024
02:51
and there are still many, many challenges.
57
159797
3211
02:55
Let me illustrate with a patient.
58
163032
1749
02:58
Here is a patient
with a skin cancer called melanoma.
59
166201
2911
03:01
It's horrible; the cancer
has gone everywhere.
60
169136
3047
03:05
However, scientists were able
to map the mutations of this cancer
61
173206
3720
03:08
and give a specific treatment
that targets one of the mutations.
62
176950
4056
03:13
And the result is almost miraculous.
63
181950
2453
03:16
Tumors almost seem to melt away.
64
184427
2446
03:19
Unfortunately, this is not
the end of the story.
65
187910
2512
03:23
A few months later, this picture is taken.
66
191077
2479
03:26
The tumor has come back.
67
194157
1487
03:28
The question is: Why?
68
196627
1580
03:30
The answer is tumor heterogeneity.
69
198892
2432
03:34
Let me explain.
70
202107
1249
03:37
Even a cancer as small
as one centimeter in diameter
71
205124
3488
03:40
harbors over a hundred million
different cells.
72
208636
2693
03:43
While genetically similar,
73
211848
1881
03:45
there are small differences
in these different cancers
74
213753
2709
03:48
that make them differently prone
to different drugs.
75
216486
2857
03:51
So even if you have a drug
that's highly effective,
76
219367
2428
03:53
that kills almost all the cells,
77
221819
1735
03:55
there is a chance
that there's a small population
78
223578
3190
03:58
that's resistant to the drug.
79
226792
1774
04:00
This ultimately is the population
80
228590
2022
04:02
that comes back,
81
230636
1164
04:03
and takes over the patient.
82
231824
1318
04:05
So then the question is:
What do we do with this information?
83
233887
2859
04:08
Well, the key, then,
84
236770
1262
04:10
is to apply all these exciting
advancements in cancer therapy earlier,
85
238056
4870
04:14
as soon as we can,
86
242950
1222
04:16
before these resistance clones emerge.
87
244196
2339
04:19
The key to cancer and curing cancer
is early detection.
88
247230
4359
04:24
And we intuitively know this.
89
252439
1669
04:26
Finding cancer early
results in better outcomes,
90
254132
3086
04:29
and the numbers show this as well.
91
257242
2046
04:31
For example, in ovarian cancer,
if you detect cancer in stage four,
92
259312
4243
04:35
only 17 percent of the women
survive at five years.
93
263579
3129
04:39
However, if you are able to detect
this cancer as early as stage one,
94
267268
4428
04:43
over 92 percent of women will survive.
95
271720
2692
04:46
But the sad fact is, only 15 percent
of women are detected at stage one,
96
274925
4803
04:51
whereas the vast majority, 70 percent,
are detected in stages three and four.
97
279752
5572
04:57
We desperately need
better detection mechanisms for cancers.
98
285348
4181
05:02
The current best ways to screen cancer
fall into one of three categories.
99
290053
4278
05:06
First is medical procedures,
100
294355
2175
05:08
which is like colonoscopy
for colon cancer.
101
296554
2908
05:11
Second is protein biomarkers,
like PSA for prostate cancer.
102
299486
4616
05:16
Or third, imaging techniques,
103
304126
2912
05:19
such as mammography for breast cancer.
104
307062
2363
05:22
Medical procedures are the gold standard;
105
310419
2426
05:24
however, they are highly invasive
106
312869
2096
05:26
and require a large
infrastructure to implement.
107
314989
2805
05:30
Protein markers, while effective
in some populations,
108
318682
3204
05:33
are not very specific
in some circumstances,
109
321910
2489
05:36
resulting in high numbers
of false positives,
110
324423
2583
05:39
which then results in unnecessary work-ups
and unnecessary procedures.
111
327030
5205
05:45
Imaging methods,
while useful in some populations,
112
333322
2964
05:48
expose patients to harmful radiation.
113
336961
2897
05:51
In addition, it is not applicable
to all patients.
114
339882
2614
05:54
For example, mammography has problems
in women with dense breasts.
115
342520
4043
05:59
So what we need is a method
that is noninvasive,
116
347036
3394
06:02
that is light in infrastructure,
117
350454
1767
06:04
that is highly specific,
118
352245
1263
06:06
that also does not have false positives,
119
354148
3221
06:09
does not use any radiation
120
357393
1966
06:11
and is applicable to large populations.
121
359383
2931
06:14
Even more importantly,
122
362338
1174
06:15
we need a method
to be able to detect cancers
123
363536
2196
06:17
before they're 100 million cells in size.
124
365756
2692
06:21
Does such a technology exist?
125
369060
1565
06:23
Well, I wouldn't be up here
giving a talk if it didn't.
126
371008
2921
06:26
I'm excited to tell you about
this latest technology we've developed.
127
374902
3471
06:31
Central to our technology
is a simple blood test.
128
379215
2702
06:34
The blood circulatory system,
while seemingly mundane,
129
382382
3730
06:38
is essential for you to survive,
130
386136
2330
06:40
providing oxygen
and nutrients to your cells,
131
388490
2505
06:43
and removing waste and carbon dioxide.
132
391019
2605
06:45
Here's a key biological insight:
133
393648
1853
06:48
Cancer cells grow and die
faster than normal cells,
134
396420
3083
06:51
and when they die,
135
399527
1196
06:52
DNA is shed into the blood system.
136
400747
2721
06:55
Since we know the signatures
of these cancer cells
137
403492
2770
06:58
from all the different cancer
genome sequencing projects,
138
406286
2704
07:01
we can look for those signals in the blood
139
409014
2041
07:03
to be able to detect these cancers early.
140
411079
2172
07:06
So instead of waiting for cancers
to be large enough to cause symptoms,
141
414409
3799
07:10
or for them to be dense enough
to show up on imaging,
142
418232
2899
07:13
or for them to be prominent enough
143
421155
2442
07:15
for you to be able to visualize
on medical procedures,
144
423621
3240
07:18
we can start looking for cancers
while they are relatively pretty small,
145
426885
3992
07:22
by looking for these small amounts
of DNA in the blood.
146
430901
3604
07:27
So let me tell you how we do this.
147
435815
1675
07:29
First, like I said, we start off
with a simple blood test --
148
437514
2864
07:32
no radiation, no complicated equipment --
149
440402
2575
07:35
a simple blood test.
150
443001
1466
07:36
Then the blood is shipped to us,
151
444491
1536
07:38
and what we do
is extract the DNA out of it.
152
446051
2389
07:41
While your body is mostly healthy cells,
153
449110
2396
07:43
most of the DNA that's detected
will be from healthy cells.
154
451530
3646
07:47
However, there will be a small amount,
less than one percent,
155
455834
3067
07:50
that comes from the cancer cells.
156
458925
1732
07:53
Then we use molecular biology methods
to be able to enrich this DNA
157
461545
4206
07:57
for areas of the genome which are known
to be associated with cancer,
158
465775
4412
08:02
based on the information
from the cancer genomics projects.
159
470211
2953
08:05
We're able to then put this DNA
into DNA-sequencing machines
160
473664
3877
08:09
and are able to digitize the DNA
into A's, C's, T's and G's
161
477565
4690
08:14
and have this final readout.
162
482279
1598
08:16
Ultimately, we have information
of billions of letters
163
484451
5990
08:22
that output from this run.
164
490465
3010
08:26
We then apply statistical
and computational methods
165
494635
3220
08:29
to be able to find
the small signal that's present,
166
497879
2672
08:32
indicative of the small amount
of cancer DNA in the blood.
167
500575
3656
08:37
So does this actually work in patients?
168
505278
2425
08:39
Well, because there's no way
of really predicting right now
169
507727
3490
08:43
which patients will get cancer,
170
511241
1508
08:44
we use the next best population:
171
512773
2057
08:47
cancers in remission;
172
515441
1435
08:49
specifically, lung cancer.
173
517552
2422
08:52
The sad fact is, even with the best drugs
that we have today,
174
520405
3309
08:55
most lung cancers come back.
175
523738
2212
08:57
The key, then, is to see
176
525974
1300
08:59
whether we're able to detect
these recurrences of cancers
177
527298
3651
09:02
earlier than with standard methods.
178
530973
1867
09:05
We just finished a major trial
179
533339
2377
09:07
with Professor Charles Swanton
at University College London,
180
535740
3747
09:11
examining this.
181
539511
1166
09:12
Let me walk you through
an example of one patient.
182
540701
2518
09:16
Here's an example of one patient
who undergoes surgery
183
544766
2827
09:19
at time point zero,
184
547617
1168
09:20
and then undergoes chemotherapy.
185
548809
2482
09:23
Then the patient is under remission.
186
551709
2485
09:26
He is monitored using clinical exams
and imaging methods.
187
554218
4609
09:31
Around day 450, unfortunately,
the cancer comes back.
188
559149
4903
09:37
The question is:
Are we able to catch this earlier?
189
565266
2485
09:39
During this whole time,
we've been collecting blood serially
190
567775
3745
09:43
to be able to measure
the amount of ctDNA in the blood.
191
571544
3278
09:47
So at the initial time point, as expected,
192
575560
3297
09:50
there's a high level
of cancer DNA in the blood.
193
578881
3698
09:54
However, this goes away to zero
in subsequent time points
194
582603
3667
09:58
and remains negligible
after subsequent points.
195
586294
3457
10:02
However, around day 340, we see the rise
of cancer DNA in the blood,
196
590993
5273
10:08
and eventually, it goes up higher
for days 400 and 450.
197
596290
4565
10:13
Here's the key, if you've missed it:
198
601415
2432
10:15
At day 340, we see the rise
in the cancer DNA in the blood.
199
603871
4981
10:20
That means we are catching this cancer
over a hundred days earlier
200
608876
4216
10:25
than traditional methods.
201
613116
1477
10:27
This is a hundred days earlier
where we can give therapies,
202
615101
2813
10:29
a hundred days earlier
where we can do surgical interventions,
203
617938
3319
10:33
or even a hundred days less
for the cancer to grow
204
621281
3033
10:36
or a hundred days less
for resistance to occur.
205
624338
3122
10:40
For some patients, this hundred days
means the matter of life and death.
206
628682
4175
10:45
We're really excited
about this information.
207
633417
2323
10:48
Because of this assignment,
we've done additional studies now
208
636539
3097
10:51
in other cancers,
209
639660
1262
10:52
including breast cancer, lung cancer
210
640946
3335
10:56
and ovarian cancer,
211
644305
1221
10:58
and I can't wait to see how much earlier
we can find these cancers.
212
646068
4350
11:04
Ultimately, I have a dream,
213
652354
1468
11:06
a dream of two vials of blood,
214
654394
2266
11:09
and that, in the future, as part of all
of our standard physical exams,
215
657536
3865
11:13
we'll have two vials of blood drawn.
216
661425
1928
11:15
And from these two vials of blood
we will be able to compare
217
663821
3342
11:19
the DNA from all known
signatures of cancer,
218
667187
3511
11:22
and hopefully then detect cancers
months to even years earlier.
219
670722
3947
11:27
Even with the therapies we have currently,
220
675359
2171
11:29
this could mean that millions
of lives could be saved.
221
677554
2601
11:32
And if you add on to that
recent advancements in immunotherapy
222
680179
4171
11:36
and targeted therapies,
223
684374
1292
11:37
the end of cancer is in sight.
224
685690
2172
11:40
The next time you hear the word "cancer,"
225
688934
2157
11:43
I want you to add to the emotions: hope.
226
691115
2426
11:46
Hold on.
227
694303
1158
11:48
Cancer researchers all around the world
are working feverishly
228
696342
3573
11:51
to beat this disease,
229
699939
1156
11:53
and tremendous progress is being made.
230
701119
2030
11:55
This is the beginning of the end.
231
703956
1968
11:58
We will win the war on cancer.
232
706380
2129
12:00
And to me, this is amazing news.
233
708861
1864
12:03
Thank you.
234
711193
1167
12:04
(Applause)
235
712384
4521

▲Back to top

ABOUT THE SPEAKER
Jimmy Lin - Geneticist
TED Fellow Jimmy Lin is developing technologies to catch cancer early.

Why you should listen

C. Jimmy Lin, MD, PhD, MHS is the Chief Scientific Officer (CSO), Oncology at Natera and a TED Fellow. He comes from a long history as a pioneer in cancer genomics. Most recently, he led the clinical genomics program at the National Cancer Institute (NCI) at the National Institutes of Health (NIH). Previously, at Johns Hopkins and Washington University in St. Louis, Lin was part of one of the first clinical genomics labs in academia and led the computational analyses of the first ever exome sequencing studies in cancer, including breast, colorectal, pancreatic, glioblastoma, medulloblastoma and melanoma.

Lin has published in top academic journals, such as Science, Nature and Cell, and he has been an expert in national and international media outlets, such as New York Times, Forbes, Bloomberg BusinessweekThe Washington Post, and the Financial Times.

More profile about the speaker
Jimmy Lin | Speaker | TED.com