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

“We’re declaring war against cancer,

and we will win this war by 2015.”

This is what the US Congress
and the National Cancer Institute declared

just a few years ago, in 2003.

Now, I don’t know about you,
but I don’t buy that.

I don’t think we quite won this war yet,

and I don’t think
anyone here will question that.

Now, I will argue that a primary reason

why we’re not winning
this war against cancer

is because we’re fighting blindly.

I’m going to start by sharing with you
a story about a good friend of mine.

His name is Ehud,

and a few years ago,
Ehud was diagnosed with brain cancer.

And not just any type of brain cancer:

he was diagnosed with one
of the most deadly forms of brain cancer.

In fact, it was so deadly

that the doctors told him
that they only have 12 months,

and during those 12 months,
they have to find a treatment.

They have to find a cure,

and if they cannot
find a cure, he will die.

Now, the good news, they said,

is that there are tons
of different treatments to choose from,

but the bad news is

that in order for them to tell
if a treatment is even working or not,

well, that takes them
about three months or so.

So they cannot try that many things.

Well, Ehud is now going
into his first treatment,

and during that first treatment,
just a few days into that treatment,

I’m meeting with him, and he tells me,
“Adam, I think this is working.

I think we really lucked out here.
Something is happening.”

And I ask him, “Really?
How do you know that, Ehud?”

And he says, “Well,
I feel so terrible inside.

Something’s gotta be working up there.

It just has to.”

Well, unfortunately, three months later,
we got the news, it didn’t work.

And so Ehud goes
into his second treatment.

And again, the same story.

“It feels so bad, something’s
gotta be working there.”

And then three months later,
again we get bad news.

Ehud is going into his third treatment,
and then his fourth treatment.

And then, as predicted, Ehud dies.

Now, when someone really close to you
is going through such a huge struggle,

you get really swamped with emotions.

A lot of things
are going through your head.

For me, it was mostly outrage.

I was just outraged that, how come
this is the best that we can offer?

And I started looking
more and more into this.

As it turns out, this is not just
the best that doctors could offer Ehud.

It’s not just the best doctors could offer
patients with brain cancer generally.

We’re actually not doing that well
all across the board with cancer.

I picked up one of those statistics,

and I’m sure some of you
have seen those statistics before.

This is going to show you here
how many patients actually died of cancer,

in this case females in the United States,

ever since the 1930s.

You’ll notice that there aren’t
that many things that have changed.

It’s still a huge issue.

You’ll see a few changes, though.

You’ll see lung cancer,
for example, on the rise.

Thank you, cigarettes.

And you’ll also see that,
for example, stomach cancer

once used to be one
of the biggest killers of all cancers,

is essentially eliminated.

Now, why is that?
Anyone knows, by the way?

Why is it that humanity is no longer
struck by stomach cancer?

What was the huge, huge
medical technology breakthrough

that came to our world
that saved humanity from stomach cancer?

Was it maybe a new drug,
or a better diagnostic?

You guys are right, yeah.

It’s the invention of the refrigerator,

and the fact that we’re
no longer eating spoiled meats.

So the best thing
that happened to us so far

in the medical arena in cancer research

is the fact that
the refrigerator was invented.

(Laughter)

And so – yeah, I know.

We’re not doing so well here.

I don’t want to miniaturize the progress

and everything that’s been done
in cancer research.

Look, there is like 50-plus years
of good cancer research

that discovered major, major things
that taught us about cancer.

But all that said,

we have a lot of heavy lifting
to still do ahead of us.

Again, I will argue that the primary
reason why this is the case,

why we have not done that remarkably well,

is really we’re fighting blindly here.

And this is where
medical imaging comes in.

This is where my own work comes in.

And so to give you a sense
of the best medical imaging

that’s offered today
to brain cancer patients,

or actually generally
to all cancer patients,

take a look at this PET scan right here.

Let’s see. There we go.

So this is a PET/CT scan,

and what you’ll see in this PET/CT scan

is the CT scan will show you
where the bones are,

and the PET scan will show you
where tumors are.

Now, what you can see here

is essentially a sugar molecule

that was added a small little tag

that is signaling to us
outside of the body,

“Hey, I’m here.”

And those sugar molecules are injected
into these patients by the billions,

and they’re going all over the body

looking for cells
that are hungry for sugar.

You’ll see that the heart,
for example, lights up there.

That’s because the heart
needs a lot of sugar.

You’ll also see that the bladder
lights up there.

That’s because the bladder
is the thing that’s clearing

the sugar away from our body.

And then you’ll see a few other hot spots,

and these are in fact the tumors.

Now, this is a really
a wonderful technology.

For the first time it allowed us
to look into someone’s body

without picking up
each and every one of the cells

and putting them under the microscope,

but in a noninvasive way
allowing us to look into someone’s body

and ask, “Hey,
has the cancer metastasized?

Where is it?”

And the PET scans here
are showing you very clearly

where are these hot spots,
where is the tumor.

So as miraculous as this might seem,

unfortunately, well, it’s not that great.

You see, those
small little hot spots there.

Can anyone guess how many cancer cells
are in any one of these tumors?

So it’s about 100 million cancer cells,

and let me make sure
that this number sunk in.

In each and every one
of these small little blips

that you’re seeing on the image,

there needs to be
at least 100 million cancer cells

in order for it to be detected.

Now, if that seemed to you
like a very large number,

it is a very large number.

This is in fact
an incredibly large number,

because what we really need
in order to pick up something early enough

to do something about it,
to do something meaningful about it,

well, we need to pick up tumors
that are a thousand cells in size,

and ideally just
a handful of cells in size.

So we’re clearly
pretty far away from this.

So we’re going to play
a little experiment here.

I’m going to ask each of you
to now play and imagine

that you are brain surgeons.

And you guys are now at an operating room,

and there’s a patient in front of you,

and your task is to make sure
that the tumor is out.

So you’re looking down at the patient,

the skin and the skull
have already been removed,

so you’re looking at the brain.

And all you know about this patient

is that there’s a tumor
about the size of a golf ball or so

in the right frontal lobe
of this person’s brain.

And that’s more or less it.

So you’re looking down, and unfortunately
everything looks the same,

because brain cancer tissue
and healthy brain tissue

really just look the same.

And so you’re going in with your thumb,

and you start to press
a little bit on the brain,

because tumors tend to be
a little harder, stiffer,

and so you go in and go
a little bit like this and say,

“It seems like the tumor is right there.”

Then you take out your knife
and start cutting the tumor

piece by piece by piece.

And as you’re taking the tumor out,

then you’re getting
to a stage where you think,

“Alright, I’m done.
I took out everything.”

And at this stage, if that’s –

so far everything sounded,
like, pretty crazy –

you’re now about to face the most
challenging decision of your life here.

Because now you need to decide,

should I stop here
and let this patient go,

risking that there might be
some leftover cancer cells behind

that I just couldn’t see,

or should I take away some extra margins,

typically about an inch or so
around the tumor

just to be sure that I removed everything?

So this is not a simple decision to make,

and unfortunately this is the decision

that brain cancer surgeons
have to take every single day

as they’re seeing their patients.

And so I remember talking
to a few friends of mine in the lab,

and we say, “Boy,
there’s got to be a better way.”

But not just like you tell a friend
that there’s got to be a better way.

There’s just got to be a better way here.

This is just incredible.

And so we looked back.

Remember those PET scans I told you about,
the sugar and so on.

We said, hey, how about
instead of using sugar molecules,

let’s maybe take tiny, tiny
little particles made of gold,

and let’s program them with some
interesting chemistry around them.

Let’s program them
to look for cancer cells.

And then we will inject
these gold particles

into these patients by the billions again,

and we’ll have them go all over the body,

and just like secret agents, if you will,

go and walk by
every single cell in our body

and knock on the door of that cell,

and ask, “Are you a cancer cell
or are you a healthy cell?

If you’re a healthy cell, we’re moving on.

If you’re a cancer cell,
we’re sticking in and shining out

and telling us,
“Hey, look at me, I’m here.”

And they’ll do it
through some interesting cameras

that we developed in the lab.

And once we see that,
maybe we can guide brain cancer surgeons

towards taking only the tumor
and leaving the healthy brain alone.

And so we’ve tested that,
and boy, this works well.

So I’m going to show you an example now.

What you’re looking at here

is an image of a mouse’s brain,

and we’ve implanted
into this mouse’s brain

a small little tumor.

And so this tumor is now
growing in this mouse’s brain,

and then we’ve taken a doctor
and asked the doctor

to please operate on the mouse
as if that was a patient,

and take out piece by piece
out of the tumor.

And while he’s doing that,

we’re going to take images
to see where the gold particles are.

And so we’re going to first start

by injecting these gold particles
into this mouse,

and we’re going to see
right here at the very left there

that image at the bottom

is the image that shows
where the gold particles are.

The nice thing
is that these gold particles

actually made it all the way to the tumor,

and then they shine out and tell us,
“Hey, we’re here. Here’s the tumor.”

So now we can see the tumor,

but we’re not showing this
to the doctor yet.

We’re asking the doctor,
now please start cutting away the tumor,

and you’ll see here the doctor
just took the first quadrant of the tumor

and you see that first quadrant
is now missing.

The doctor then took
the second quadrant, the third,

and now it appears to be everything.

And so at this stage,
the doctor came back to us and said,

“Alright, I’m done.
What do you want me to do?

Should I keep things as they are

or do you want me to take
some extra margins around?”

And then we said, “Well, hang on.”

We told the doctor,
“You’ve missed those two spots,

so rather than taking huge margins around,

only take out those tiny little areas.

Take them out,
and then let’s take a look.”

And so the doctor took them away,
and lo and behold,

the cancer is now completely gone.

Now, the important thing

is that it’s not just
that the cancer is completely gone

from this person’s brain,

or from this mouse’s brain.

The most important thing

is that we did not have to take
huge amounts of healthy brain

in the process.

And so now we can actually imagine a world

where doctors and surgeons,
as they take away a tumor,

they actually know what to take out,

and they no longer
have to guess with their thumb.

Now, here’s why it’s extremely important
to take those tiny little leftover tumors.

Those leftover tumors,
even if it’s just a handful of cells,

they will grow to recur the tumor,

for the tumor to come back.

In fact, the reason why 80 to 90 percent

of those brain cancer surgeries
ultimately fail

is because of those small little
extra margins that were left positive,

those small little leftover tumors
that were left there.

So this is clearly very nice,

but what I really want to share with you
is where I think we’re heading from here.

And so in my lab at Stanford,

my students and I are asking,
what should we be working on now?

And I think where
medical imaging is heading to

is the ability to look into the human body

and actually see each and every one
of these cells separately.

The ability like this would allow us

to actually pick up tumors
way, way earlier in the process,

way before it’s 100 million cells inside,
so we can actually do something about it.

An ability to see each and every one
of the cells might also allow us

to ask insightful questions.

So in the lab,
we are now getting to a point

where we can actually start asking
these cancer cells real questions,

like, for example, are you responding
to the treatment we are giving you or not?

So if you’re not responding, we’ll know
to stop the treatment right away,

days into the treatment, not three months.

And so also for patients like Ehud

that are going through these
nasty, nasty chemotherapy drugs,

for them not to suffer

through those horrendous
side effects of the drugs

when the drugs are
in fact not even helping them.

So to be frank here,

we’re pretty far away
from winning the war against cancer,

just to be realistic.

But at least I am hopeful

that we should be able to fight this war
with better medical imaging techniques

in the way that is not blind.

Thank you.

(Applause)

“我们正在向癌症宣战

,我们将在 2015 年之前赢得这场战争。”

这就是美国国会
和国家癌症研究所

几年前在 2003 年宣布的。

现在,我不了解你,
但我不相信。

我认为我们还没有完全赢得这场战争

,我认为
这里的任何人都不会质疑这一点。

现在,我要争辩说,

我们没有赢得
这场与癌症的战争

的主要原因是我们在盲目地战斗。

我将首先与您分享
我的一个好朋友的故事。

他的名字叫Ehud

,几年前,
Ehud被诊断出患有脑癌。

而且不仅仅是任何类型的脑癌:

他被诊断出患有
最致命的脑癌之一。

事实上,这太致命

了,医生告诉他
,他们只有 12 个月,

而在这 12 个月中,
他们必须找到治疗方法。

他们必须找到治疗方法

,如果他们
找不到治疗方法,他就会死。

现在,他们说,好消息

是有
大量不同的治疗方法可供选择,

但坏消息是

,为了让他们
判断一种治疗方法是否

有效,他们需要
大约三个月的时间 或者。

所以他们不能尝试那么多事情。

嗯,Ehud 现在正在
接受他的第一次治疗

,在第一次治疗期间,也就是接受
治疗的几天后,

我与他会面,他告诉我,
“亚当,我认为这很有效。

我认为我们真的 走运了。
有些事情正在发生。

我问他:“真的吗
?你怎么知道的,埃胡德?”

他说,“嗯,
我内心感觉很糟糕。

那里一定有什么东西在起作用。

它只是不得不。”

好吧,不幸的是,三个月后,
我们得到了消息,它没有奏效。

于是以笏
开始了他的第二次治疗。

再一次,同样的故事。

“感觉太糟糕了,
那里一定有什么东西在起作用。”

然后三个月后,
我们又得到了坏消息。

Ehud 将进行第三次治疗,
然后是第四次治疗。

然后,正如预测的那样,以笏死了。

现在,当你真正亲近的人
正在经历如此巨大的斗争时,

你真的会被情绪淹没。

很多事情
都在你脑海中浮现。

对我来说,这主要是愤怒。

我很生气,为什么
这是我们能提供的最好的?

我开始
越来越多地研究这个。

事实证明,这不仅仅是
医生可以为 Ehud 提供的最好的。

这不仅仅是最好的医生通常可以为
脑癌患者提供服务。

实际上,我们在癌症方面做得并不是很好

我收集了其中一个统计数据

,我相信你们中的一些人
以前看过这些统计数据。

这将向您展示自 1930 年代以来
实际上有多少患者死于癌症,

在这种情况下是美国的女性

你会注意到并
没有多少事情发生了变化。

这仍然是一个巨大的问题。

不过,您会看到一些变化。 例如

,您会看到肺癌
呈上升趋势。

谢谢你,香烟。

而且你还会看到,
例如,

曾经
是所有癌症中最大杀手之一的胃癌,

基本上已经被消除了。

现在,这是为什么呢?
顺便说一句,有人知道吗?

为什么人类不再
受到胃癌的打击?

什么是巨大的、巨大的
医疗技术

突破来到我们的世界
,使人类免于胃癌?

它可能是一种新药,
还是一种更好的诊断方法?

你们是对的,是的。

这是冰箱的发明,

也是我们
不再吃变质肉类的事实。

因此,
到目前为止

,在癌症研究的医学领域中,发生在我们身上的最好

的事情
就是冰箱被发明了。

(笑声

) 所以——是的,我知道。

我们在这里做得不太好。

我不想将癌症研究

中的进展和所做的一切小型化

看,大约有 50 多年
的良好癌症研究

发现了重要的、重要的事情
,这些事情教会了我们关于癌症的知识。

但话虽如此,

我们还有很多繁重的工作
要做。

再说一次,我会争辩说,
为什么会出现这种情况,

为什么我们没有做得非常好的主要原因

是我们真的在这里盲目地战斗。

这就是
医学成像的用武之地。

这就是我自己的工作的用武之地

。因此,为了让您了解

当今
为脑癌患者

或实际上
为所有癌症患者提供的最佳医学成像

,请看一下 这个 PET 扫描就在这里。

让我们来看看。 我们去吧。

所以这是一个 PET/CT 扫描

,你会在这个 PET/CT 扫描中看到的

是 CT 扫描会告诉你
骨头在哪里,

而 PET 扫描会告诉你
肿瘤在哪里。

现在,你在这里看到

的本质上是一个糖分子

,它被添加了一个小标签

,在体外向我们发出信号

“嘿,我在这里。”

这些糖分子
被数十亿次注射到这些患者体内

,它们遍布全身

寻找
渴望糖分的细胞。 例如

,您会看到心脏
在那里亮起。

那是因为心脏
需要大量的糖。

您还会看到膀胱
在那里亮起。

那是因为膀胱

清除我们体内糖分的东西。

然后你会看到其他一些热点

,这些实际上是肿瘤。

现在,这真是
一项了不起的技术。

第一次,它让我们

无需拿起
每个细胞

并将它们放在显微镜下即可观察到某人的身体,

而是以一种非侵入性的方式
让我们能够观察到某人的身体

并问:“嘿
,得了癌症 转移了?

它在哪里?

这里的 PET 扫描
非常清楚地向您显示

这些热点
在哪里,肿瘤在哪里。

因此,尽管这看起来很神奇,但

不幸的是,它并没有那么好。

你看,
那里的那些小热点。

谁能猜出
这些肿瘤中有多少癌细胞?

所以它大约有 1 亿个癌细胞

,让我
确保这个数字被吸收了。

你在图像上看到的每一个小光点中,

至少需要
有 1 亿个

癌细胞才能排列 以便被检测到。

现在,如果这对你
来说是一个非常大的数字,

那么它就是一个非常大的数字。

这实际上
是一个非常大的数字,

因为我们真正需要
的是为了尽早发现一些东西

来做一些事情
,做一些有意义的事情,

好吧,我们需要收集
一千个细胞大小的肿瘤

,理想情况下只有
少数几个细胞大小。

所以我们显然
离这个还很远。

所以我们要在
这里做一个小实验。

我要请你们每个
人现在玩并

想象你们是脑外科医生。

你们现在在手术室

里,前面有一个病人

,你们的任务是
确保肿瘤已经消失。

所以你在看病人

,皮肤和头骨
已经被切除了,

所以你在看大脑。

关于这个病人

,你所知道的只是这个
人的右额叶有一个高尔夫球大小

的肿瘤。

这或多或少是这样的。

所以你往下看,不幸的是
一切看起来都一样,

因为脑癌组织
和健康的脑组织

真的只是看起来一样。

所以你用你的拇指进去

,你开始
稍微按压大脑,

因为肿瘤往往
更硬,更硬

,所以你进去,
有点像这样说,

“ 肿瘤似乎就在那儿。”

然后你拿出你的刀
,开始

一块一块地切割肿瘤。

当你取出肿瘤时

,你会
进入一个阶段,你会想,

“好吧,我完成了。
我把所有东西都取出来了。”

在这个阶段,如果这是 -

到目前为止,一切听起来,
就像,非常疯狂 -

你现在将面临
你生命中最具挑战性的决定。

因为现在你需要决定,

我是应该停下
来让这个病人离开,

冒着可能有
一些我看不见的剩余癌细胞的风险

还是应该去掉一些额外的边缘,

通常大约一英寸左右
围绕肿瘤

只是为了确保我移除了所有东西?

所以这不是一个简单

的决定,不幸的是,这是

脑癌外科医生

每天看病人时必须做出的决定。

所以我记得
在实验室里和我的几个朋友交谈,

我们说,“男孩,
一定有更好的方法。”

但不仅仅是像你告诉朋友
必须有更好的方法一样。

这里必须有更好的方法。

这简直不可思议。

所以我们回头看。

记住我告诉过你的那些 PET 扫描
,糖等等。

我们说,嘿,
不如不使用糖分子,

让我们
用金制成的微小颗粒,

然后用
它们周围的一些有趣的化学物质对它们进行编程。

让我们对它们
进行编程以寻找癌细胞。

然后我们会再次将
这些金粒子

数以十亿计地注射到这些病人体内

,我们会让它们遍布全身

,就像秘密特工一样,如果你愿意的话

,走过
我们身体的每一个细胞

,敲门 在那个牢房的门上

,问:“你是癌细胞
还是健康细胞?

如果你是健康细胞,我们会继续前进。

如果你是癌细胞,
我们会坚持下去 并

发光告诉我们,
“嘿,看着我,我在这里。

”他们会
通过

我们在实验室开发的一些有趣的相机来做到这一点

。一旦我们看到,
也许我们可以指导脑癌外科医生

只取肿瘤
,不理会健康的大脑

。所以我们已经对此进行了测试
,男孩,这很有效。

所以我现在要给你看一个例子。

你在这里看到的

是一个图像 一只老鼠的大脑

,我们在
这只老鼠的大脑里植入了

一个小肿瘤

,所以这个肿瘤现在
在这只老鼠的大脑里生长,

然后我们带了一个医生
,让医生

去检查 像病人一样对老鼠
进行手术,

从肿瘤中一块一块地取出。

在他这样做的同时,

我们将拍摄图像
以查看金颗粒的位置。

所以我们将

首先将这些金颗粒
注入这只老鼠

,我们将
在最左边看到

底部的图像是显示
金颗粒所在位置的图像。

好消息
是这些金颗粒

实际上一直到达肿瘤,

然后它们发光并告诉我们,
“嘿,我们在这里。这是肿瘤。”

所以现在我们可以看到肿瘤,

但我们还
没有向医生展示它。

我们在问医生,
现在请开始切除肿瘤

,你会在这里看到医生
刚刚切除了肿瘤的第一象限

,你看到第一象限
现在已经不见了。

然后医生
拿了第二象限,第三象限

,现在它似乎是一切。

所以在这个阶段
,医生回到我们身边说,

“好吧,我已经完成了。
你想让我做什么?

我应该保持现状

还是你想让我
多留一些余量? "

然后我们说,“好吧,等一下。”

我们跟医生说:
“你漏掉了那两个地方

,与其在周围画大的边距,不如

只把那些很小的地方

去掉,把它们去掉,
再看看。”

所以医生把他们带走了,你

,癌症现在已经完全消失了。

现在,重要的

是,
不仅仅是癌症完全

从这个人的大脑中消失了,

或者从这只老鼠的大脑中消失了。

最重要的

是,我们不必在此过程中摄取
大量健康的大脑

所以现在我们实际上可以想象

一个医生和外科医生
在切除肿瘤

时实际上知道要切除什么的世界

,他们不再
需要用拇指猜测。

现在,这就是为什么
取出那些微小的残留肿瘤非常重要的原因。

那些残留的肿瘤,
哪怕只是一小撮细胞,

也会长出来让肿瘤复发,

让肿瘤再回来。

事实上,80% 到 90%

的脑癌手术
最终失败

的原因是那些小的
额外边缘留下了阳性,

那些小的残留肿瘤
留在那里。

所以这显然非常好,

但我真正想与你分享的
是我认为我们将从这里开始的地方。

所以在我斯坦福的实验室里,

我和我的学生都在问,
我们现在应该做什么?

而且我认为
医学成像的发展方向

是能够观察人体

并实际分别看到
这些细胞中的每一个。

像这样的能力将使我们

能够
在过程中更早地,

在它内部有 1 亿个细胞之前,真正地发现肿瘤,
所以我们实际上可以做点什么。

看到每
一个细胞的能力也可能让

我们提出有见地的问题。

所以在实验室里,
我们现在已经到了

可以开始向
这些癌细胞提出真正问题的地步

,例如,你对
我们给你的治疗有反应吗?

因此,如果您没有反应,我们会知道
立即停止治疗,

在治疗后几天,而不是三个月。

对于像 Ehud

这样正在使用这些
令人讨厌的、令人讨厌的化疗药物的患者也是如此,

因为当药物实际上甚至对他们没有帮助时,他们不会遭受药物

的那些可怕的
副作用

所以坦率地说,

我们
离赢得抗癌战争

还有很长的路要走,只是要现实一点。

但至少我

希望我们应该能够以不盲目的方式
用更好的医学成像技术来打这场战争

谢谢你。

(掌声)