Is There a Link Between Cancer and Heart Disease? | Nicholas Leeper | TED

63,563 views ・ 2022-10-03

TED


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

00:04
In two decades of practicing medicine,
0
4300
2600
00:06
I've encountered a wide number of medical diagnoses.
1
6900
3560
00:10
You see, it turns out that there are more than 60,000 different medical diagnoses
2
10460
4800
00:15
that you can list on a patient's chart.
3
15300
2080
00:17
You can actually be diagnosed with a burn injury
4
17420
3560
00:21
when your water skis catch on fire.
5
21020
2240
00:24
There are also codes if you need surgery after being bitten by a pig,
6
24340
4480
00:28
(Laughter)
7
28860
1000
00:29
hit by a spacecraft,
8
29940
1640
00:31
(Laughter)
9
31620
1000
00:32
stabbed while crocheting,
10
32620
2000
00:34
or my favorite,
11
34620
1560
00:36
due to extreme problems with your in-laws.
12
36220
2480
00:38
(Laughter)
13
38740
2280
00:41
But the best of all has got to be the code
14
41060
2400
00:43
for getting sucked into a jet engine.
15
43500
1800
00:46
And the reason that I like this one is because this is not the code
16
46020
3160
00:49
for the first time this happens, but for the subsequent encounter.
17
49180
3120
00:52
(Laughter)
18
52340
1000
00:53
So there must be people on this Earth
19
53420
1760
00:55
that have been sucked into a jet engine twice.
20
55220
2160
00:57
(Laughter)
21
57420
2400
01:00
But I think, you know, kidding aside,
22
60660
1880
01:02
we have to recognize
23
62540
1320
01:03
that every last one of us in this room
24
63900
2320
01:06
is most likely to die of only one of two diagnoses.
25
66260
4160
01:10
And these, of course, are either cancer
26
70420
2960
01:13
or cardiovascular disease.
27
73420
1840
01:15
This speaks to the incredible public health importance
28
75820
2880
01:18
of these two diseases
29
78700
1640
01:20
and the urgent, unmet medical need to develop new therapies
30
80380
3240
01:23
directed against them.
31
83620
1280
01:25
A lot of people are not surprised
32
85500
1960
01:27
that these two diseases claimed so many lives.
33
87500
2600
01:30
After all, they are very different biologically,
34
90500
3120
01:33
they have different risk factors,
35
93660
2080
01:35
and they affect very different patient populations.
36
95780
2840
01:39
But for the next 15 minutes or so,
37
99940
1640
01:41
I would like to propose a different hypothesis.
38
101620
2800
01:44
That perhaps they actually have quite a lot in common.
39
104460
3440
01:48
And even more importantly,
40
108380
1440
01:49
I would like to suggest that if we think about them this way,
41
109860
3360
01:53
we might be able to develop new therapies
42
113220
2680
01:55
that could treat both diseases at the same time.
43
115940
2880
01:58
So before I tell you why I believe this hypothesis,
44
118860
3600
02:02
let me lay out the counter arguments against it.
45
122500
3240
02:05
I think many people would say
46
125780
1920
02:07
that the old man who smokes cigarettes his whole life
47
127700
2520
02:10
and has a heart attack
48
130220
1240
02:11
shares very little in common with a young person
49
131460
2560
02:14
who develops colon cancer out of the blue.
50
134060
2800
02:17
But we now know that the risk factors for these diseases
51
137740
3080
02:20
have significant overlap.
52
140820
1760
02:22
And the things that cause one disease can also put you at risk for the other.
53
142620
3880
02:27
Well, that may be true,
54
147780
1160
02:28
but we know that genetically these diseases couldn't be more different.
55
148980
3880
02:32
I'm sure many of you have heard about these cancer genes
56
152860
3040
02:35
that can be mutated in families
57
155940
1840
02:37
that could put both mother and daughter at risk for breast cancer.
58
157820
3600
02:41
We know that those genes have nothing to do with heart attack,
59
161980
3480
02:45
and that's true also.
60
165460
1520
02:47
But I would point out that those genes were discovered decades ago,
61
167020
3640
02:50
before the Human Genome Project
62
170700
2120
02:52
and before we could scan all three billion base pairs at the same time.
63
172860
4240
02:57
And when we do this for patients having heart attack,
64
177860
3200
03:01
we find that the top hotspot for having a heart attack
65
181060
3200
03:04
is located on chromosome nine,
66
184300
1800
03:06
shown here with these blue dots.
67
186140
1880
03:08
And what shocked the world when this paper was first published
68
188500
3640
03:12
was that this genetic locus has nothing to do with smoking
69
192180
3600
03:15
or cholesterol or diabetes.
70
195820
2600
03:18
But actually seems to control a well-known cancer gene
71
198460
3400
03:21
that's mutated in patients with melanoma, brain cancer,
72
201900
4440
03:26
lung cancer, etc.
73
206380
1760
03:28
And so for decades,
74
208180
1600
03:29
we've been focusing on the traditional cardiac risk factors.
75
209820
3720
03:33
But the genetics now tell us
76
213580
1400
03:34
that the most important factor may actually have to do
77
214980
3080
03:38
with a well-known cancer gene instead.
78
218060
2360
03:42
Well, that's an interesting observation,
79
222140
1920
03:44
but we know that if you look under the microscope
80
224100
2320
03:46
at these two diseases,
81
226420
1160
03:47
they couldn't be more different.
82
227580
1560
03:49
When I was in medical school,
83
229180
1400
03:50
I was taught that cancer is really just about cells dividing too quickly.
84
230620
4800
03:55
And you can imagine this lung tumor
85
235460
2240
03:57
growing over time and taking over the lung,
86
237740
3000
04:00
and that this has nothing to do with what happens in heart disease,
87
240780
3200
04:04
which is a problem that, I was taught,
88
244020
2120
04:06
was due to the buildup of cholesterol
89
246180
2280
04:08
that can ultimately lead to the blockage of an artery
90
248500
2520
04:11
and a heart attack or a stroke.
91
251060
1840
04:13
And to be sure, both of these biological processes are critically important.
92
253300
5320
04:18
But I would point out that the modern-day textbook of these diseases
93
258660
4000
04:22
is getting harder and harder to tell apart.
94
262700
2440
04:25
We now know that both of these conditions are dominated
95
265180
2760
04:27
by the influx of inflammatory cells
96
267980
2680
04:30
and immune cells and abnormal blood vessels
97
270700
2880
04:33
and even stem cells.
98
273620
1920
04:35
And so maybe the textbooks that I used are out of date.
99
275580
3960
04:40
Well, at this point, you might say these are interesting observations,
100
280900
3280
04:44
but is there any clinical data which would suggest
101
284220
2520
04:46
that patients with one disease are actually at higher risk of the other?
102
286780
3680
04:51
Turns out that investigators, both in Asia and Europe,
103
291540
2960
04:54
have now started to test this hypothesis.
104
294500
2760
04:57
And just last year,
105
297300
1160
04:58
a very important article was published out of Germany,
106
298500
3360
05:01
where they looked at more than 100,000 individuals
107
301860
2760
05:04
with congestive heart failure
108
304660
1680
05:06
and they found that these people were at much higher risk
109
306380
2920
05:09
of developing cancer.
110
309340
1680
05:11
This is really interesting
111
311700
1280
05:12
and suggests to me that indeed having one disease
112
312980
3320
05:16
may put you at risk of the other.
113
316340
2480
05:19
But this also raises a very important scientific principle
114
319980
3480
05:23
that association is not the same as causation.
115
323500
3480
05:27
And if you wanted to test that hypothesis,
116
327020
2880
05:29
you would have to do an experiment where you took a healthy individual
117
329940
3480
05:33
and then intentionally gave them a heart attack.
118
333420
2960
05:36
You'd have to let some time go by
119
336900
1640
05:38
to see what changes occur throughout the body.
120
338540
2840
05:41
And then you could determine if their rate of cancer was higher
121
341420
3280
05:44
or vice versa, if their rate of heart disease was higher.
122
344740
3080
05:48
Now, obviously, we can't do this type of an experiment in human beings.
123
348380
3480
05:51
This would be unethical.
124
351900
1520
05:54
But this type of an experiment is done in research laboratories
125
354020
3800
05:57
every day around the world
126
357860
1440
05:59
in mouse models of human disease.
127
359340
2200
06:02
Just last year, two very important studies were published
128
362260
3280
06:05
where investigators took healthy mice
129
365580
2160
06:07
and then implanted small tumors underneath their skin.
130
367780
2840
06:11
They looked at the rate at which these cancers would grow over time.
131
371540
3480
06:15
And what they found in both studies was that the mice who had heart disease
132
375420
4520
06:19
had much higher rates of cancer.
133
379980
2240
06:22
And what was fascinating to me
134
382940
1440
06:24
was that they were able to confirm these findings
135
384420
2320
06:26
across a wide range of tumors,
136
386740
2040
06:28
suggesting to me that really the presence of heart disease
137
388820
3920
06:32
is sufficient to accelerate cancer growth.
138
392780
2960
06:37
So having heard all this,
139
397260
1880
06:39
the natural question is whether we can do anything about this.
140
399140
4160
06:44
So outside of my work at Stanford, one of my volunteer roles
141
404340
3680
06:48
is with the American Heart Association.
142
408060
2040
06:50
And one of our public health initiatives is called Life’s Simple Seven.
143
410100
4520
06:55
We try to get patients with a history of heart disease
144
415020
2680
06:57
to control these very simple and straightforward risk factors
145
417740
3560
07:01
like exercise, cholesterol and diet.
146
421340
2480
07:04
The idea here is that if you can control these,
147
424220
2240
07:06
you should be able to lower your risk
148
426460
1800
07:08
of having additional cardiovascular events.
149
428260
2920
07:11
This is now pretty widely accepted.
150
431180
2000
07:14
But what's fascinating to me
151
434100
1360
07:15
is that a group of investigators have now looked at the association
152
435460
3520
07:19
with these risk factors and cancer.
153
439020
2720
07:22
And in a study with more than 10,000 individuals
154
442300
2720
07:25
who were followed for almost two decades,
155
445060
2680
07:27
they found the people who had optimal control
156
447780
2800
07:30
of all their risk factors
157
450620
2080
07:32
had a pretty low rate of developing cancer.
158
452700
2480
07:36
But for each risk factor which fell out of control,
159
456100
3480
07:39
the risk of malignancy went up.
160
459580
2480
07:42
And you can see that the group who had poor control of all seven risk factors
161
462100
4160
07:46
had by far the highest rates of cancer,
162
466300
2680
07:49
with nearly a doubling of the risk.
163
469020
2680
07:52
So this suggests to me that,
164
472220
1760
07:53
in fact, if we want to control cancer,
165
473980
2520
07:56
we might start by controlling our cardiac risk profile.
166
476540
3480
08:01
So this is fine and we continue to encourage our patients to do this.
167
481900
5000
08:07
But the reality is that even if I had a magic wand
168
487260
3320
08:10
and could somehow optimally control everybody's risk factors,
169
490580
4240
08:14
we know that we would still be dealing with both the number one
170
494860
3400
08:18
and number two causes of death worldwide.
171
498260
2720
08:21
This tells us that we need to find new therapies
172
501740
2520
08:24
that could treat or even prevent these conditions in the first place.
173
504300
3720
08:30
Now our laboratory chooses to do this
174
510140
2160
08:32
with an unbiased genetics approach.
175
512340
2080
08:34
We take biopsies from patients
176
514900
2000
08:36
with or without a wide variety of tumors,
177
516940
2640
08:39
or with and without cardiovascular disease.
178
519620
2720
08:42
And instead of looking at one gene at a time,
179
522380
2120
08:44
we scan the whole genome and look at the expression of all 20,000 genes.
180
524540
4080
08:49
You can plot these on a plot like this
181
529180
2200
08:51
where each gray dot represents its own gene.
182
531420
2920
08:54
And when you acquire enough samples,
183
534820
2040
08:56
you can begin to identify patterns of those genes
184
536900
2960
08:59
which are bad for cancer
185
539860
1400
09:01
versus those that protect against it.
186
541300
2240
09:04
And do the same type of an experiment
187
544140
2040
09:06
to find those things that will accelerate or prevent against cardiovascular disease.
188
546220
5080
09:12
Now, I think the clever part of this approach
189
552020
2120
09:14
is to integrate these
190
554140
1200
09:15
and to run these analyses simultaneously.
191
555380
3240
09:19
When you do this, we can begin to look at factors in the red quadrant.
192
559220
4920
09:24
These are genes that we suspect should be bad
193
564420
2720
09:27
for both heart disease disease and cancer
194
567140
2400
09:29
and must be avoided at all costs.
195
569580
2640
09:32
Or even better,
196
572780
1200
09:34
perhaps we can find factors in the blue quadrant
197
574020
2440
09:36
that should be able to protect against both diseases.
198
576500
3480
09:40
We hypothesize that those factors in the blue quadrant could be prioritized
199
580300
4960
09:45
to help us find new medicines to cure these two leading killers.
200
585300
4000
09:51
Now our group has run these analyses on several thousand individuals.
201
591620
4320
09:55
This work is still underway,
202
595980
2080
09:58
but so far we've identified a list of about three dozen pathways
203
598100
3600
10:01
that we do think should be prioritized.
204
601740
2360
10:04
Now, time will tell if these work.
205
604780
3000
10:07
If all of them work, if some, if any of them work.
206
607820
3160
10:10
We just don't know.
207
610980
1520
10:13
But I do want to show you a couple of examples
208
613460
2160
10:15
that would suggest that we're on the right path.
209
615660
2240
10:19
In the red quadrant, one of the factors we found relates to inflammation.
210
619940
3920
10:24
And we often think of inflammation as being bad,
211
624460
2920
10:27
but in reality, this is a process
212
627420
2200
10:29
that our body evolved to help us recover from injury
213
629660
3600
10:33
or to mount a fever to fight off an infection.
214
633300
2800
10:36
But of course, there are always times
215
636660
1760
10:38
where our body has too much of something.
216
638460
1960
10:40
In this case,
217
640460
1160
10:41
there's a rare genetic syndrome
218
641620
1880
10:43
where children can be born with overactive inflammation,
219
643540
3640
10:47
and they can have recurrent episodes of high fevers and rashes
220
647180
4040
10:51
and other neurocognitive and developmental delays.
221
651260
3160
10:55
Now in a triumph of science,
222
655580
1760
10:57
investigators have pinpointed the exact molecule responsible for this,
223
657380
3840
11:01
and they developed a drug that can block it.
224
661260
2320
11:04
These children who have these rashes that I mentioned before
225
664420
3360
11:07
can have a relatively remarkable improvement on these drugs
226
667820
3760
11:11
and almost get back to a normal quality of life.
227
671620
2680
11:15
But relevant to today's talk,
228
675420
1560
11:16
it turns out that there are a group of cardiologists
229
676980
3160
11:20
who, for decades, have hypothesized
230
680180
2600
11:22
that these same inflammatory factors may also be driving heart disease.
231
682820
4400
11:27
They were able to convince the company that makes this drug
232
687740
2760
11:30
to do a trial to look at the effect of this medicine
233
690540
3360
11:33
in patients who had had a heart attack or a stroke in the past.
234
693900
3400
11:37
And really, it was no surprise to many of us
235
697300
2360
11:39
when the results of this trial were published.
236
699700
2440
11:42
And they showed that, in fact, compared to a placebo,
237
702180
2880
11:45
that this medicine could prevent recurrent cardiovascular events.
238
705060
4320
11:50
But our algorithms predict that this drug
239
710460
2440
11:52
should not only help prevent heart disease
240
712940
2400
11:55
but also should be able to prevent cancer.
241
715380
2680
11:58
And so this particular article gained a lot of attention
242
718620
3200
12:01
because when they unblinded their results,
243
721820
2920
12:04
the investigators were shocked to find
244
724780
1840
12:06
that not only were the patients having fewer heart attacks
245
726660
2840
12:09
but they were having a much lower rate of developing lung cancer
246
729540
3720
12:13
and a much lower rate of even dying from cancer.
247
733260
2760
12:16
In fact, these results were so surprising and powerful
248
736460
3280
12:19
that I understand the company that makes this drug
249
739740
2360
12:22
is now pivoting and prioritizing this as a cancer drug,
250
742100
3000
12:25
because the effects were so significant.
251
745140
3480
12:29
How about another example from the blue quadrant this time?
252
749780
3320
12:33
Well, here we come to one of my favorite cells in the body,
253
753140
2960
12:36
which is an immune cell called the macrophage.
254
756140
2920
12:39
Now, macrophage is from the Greek, meaning "big eater."
255
759100
3600
12:43
And the role of this cell is to patrol the body,
256
763060
2480
12:45
like a sentinel,
257
765580
1160
12:46
and it looks for invading bacteria.
258
766780
2360
12:49
When it sees them, it actually will eat them
259
769180
2440
12:51
and remove them from our body before they can expand
260
771660
2680
12:54
and cause an infection.
261
774340
1680
12:57
But just like in the last example, there are oncologists
262
777500
3520
13:01
who have hypothesized that these macrophages
263
781060
2720
13:03
don't just have to eat bacteria,
264
783820
2120
13:05
but they also have to look for and eat cancer cells
265
785980
3160
13:09
and hopefully get rid of them before they can grow
266
789180
2640
13:11
and metastasize.
267
791860
1440
13:13
And so there's been a major initiative to develop medicines
268
793740
2800
13:16
that can increase the appetite of these cells
269
796580
2360
13:18
to help them go after those tumors.
270
798940
2160
13:22
Now, this story is still in its early days,
271
802140
2400
13:24
and it's unclear if this type of an approach will work.
272
804580
3440
13:28
But some of the early studies would suggest
273
808580
2320
13:30
that patients who have metastatic lymphoma,
274
810940
2560
13:33
which you can see spread throughout this person's body on their CAT scan,
275
813500
4440
13:37
that they may have a remarkable response to these types of drugs.
276
817940
3360
13:41
And you can imagine here that the tumors are melting away
277
821300
3200
13:44
as they're being eaten by these cells
278
824500
3160
13:47
due to their increased appetite.
279
827660
1640
13:50
But once again, what we found is that our algorithms predict
280
830300
3200
13:53
that, yes, this drug should work for cancer,
281
833500
3240
13:56
but we think it might also work for heart disease.
282
836740
2720
13:59
And so we've now gone back and retrospectively analyzed
283
839780
3360
14:03
the same CAT scans from the same cancer patients.
284
843140
3320
14:06
But this time, instead of looking at the signal from their tumors,
285
846780
4320
14:11
we can look at the signal in their blood vessels.
286
851140
2960
14:14
And here I'm pointing with the arrow to the carotid artery.
287
854100
3920
14:18
This is the artery
288
858060
1160
14:19
that brings the blood to the brain,
289
859220
1720
14:20
this is where cardiovascular disease will build up
290
860940
2360
14:23
in patients before they have a stroke.
291
863340
1920
14:25
And what we found is that while their cancer was melting away,
292
865300
4000
14:29
it looks like their cardiovascular disease was melting away, too.
293
869340
3800
14:33
And so, once again,
294
873140
1880
14:35
these algorithms are predicting
295
875060
1520
14:36
that we may be able to identify therapies
296
876580
2440
14:39
that could be dual purposed to attack both conditions at the same time.
297
879020
4280
14:44
We don't yet know if any of these other pathways
298
884420
3960
14:48
will have the same type of success.
299
888420
1880
14:50
But what we do know for sure is the lesson that Galileo taught us
300
890820
3440
14:54
almost four centuries ago,
301
894300
2240
14:56
and that there is no such thing as settled science.
302
896580
3280
14:59
We must challenge dogma,
303
899860
1800
15:01
we must break down traditional silos.
304
901700
2640
15:04
Because if we do,
305
904380
1640
15:06
we may no longer be powerless against these leading killers,
306
906020
4400
15:10
but may, in fact find ways to treat the world's two leading killers.
307
910460
4760
15:15
Thank you.
308
915900
1160
15:17
(Applause)
309
917100
3080
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