Francis Collins: We need better drugs -- now

62,226 views ・ 2013-03-21

TED


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

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Translator: Joseph Geni Reviewer: Morton Bast
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So let me ask for a show of hands.
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How many people here are over the age of 48?
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Well, there do seem to be a few.
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Well, congratulations,
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because if you look at this particular slide of U.S. life expectancy,
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you are now in excess of the average life span
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of somebody who was born in 1900.
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But look what happened in the course of that century.
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If you follow that curve,
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you'll see that it starts way down there.
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There's that dip there for the 1918 flu.
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And here we are at 2010,
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average life expectancy of a child born today, age 79,
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and we are not done yet.
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Now, that's the good news.
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But there's still a lot of work to do.
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So, for instance, if you ask,
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how many diseases do we now know
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the exact molecular basis?
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Turns out it's about 4,000, which is pretty amazing,
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because most of those molecular discoveries
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have just happened in the last little while.
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It's exciting to see that in terms of what we've learned,
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but how many of those 4,000 diseases
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now have treatments available?
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Only about 250.
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So we have this huge challenge, this huge gap.
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You would think this wouldn't be too hard,
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that we would simply have the ability
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to take this fundamental information that we're learning
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about how it is that basic biology teaches us
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about the causes of disease
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and build a bridge across this yawning gap
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between what we've learned about basic science
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and its application,
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a bridge that would look maybe something like this,
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where you'd have to put together a nice shiny way
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to get from one side to the other.
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Well, wouldn't it be nice if it was that easy?
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Unfortunately, it's not.
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In reality, trying to go from fundamental knowledge
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to its application is more like this.
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There are no shiny bridges.
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You sort of place your bets.
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Maybe you've got a swimmer and a rowboat
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and a sailboat and a tugboat
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and you set them off on their way,
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and the rains come and the lightning flashes,
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and oh my gosh, there are sharks in the water
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and the swimmer gets into trouble,
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and, uh oh, the swimmer drowned
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and the sailboat capsized,
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and that tugboat, well, it hit the rocks,
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and maybe if you're lucky, somebody gets across.
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Well, what does this really look like?
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Well, what is it to make a therapeutic, anyway?
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What's a drug? A drug is made up
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of a small molecule of hydrogen, carbon,
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oxygen, nitrogen, and a few other atoms
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all cobbled together in a shape,
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and it's those shapes that determine whether, in fact,
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that particular drug is going to hit its target.
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Is it going to land where it's supposed to?
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So look at this picture here -- a lot of shapes dancing around for you.
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Now what you need to do, if you're trying to develop
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a new treatment for autism
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or Alzheimer's disease or cancer
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is to find the right shape in that mix
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that will ultimately provide benefit and will be safe.
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And when you look at what happens to that pipeline,
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you start out maybe with thousands,
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tens of thousands of compounds.
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You weed down through various steps
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that cause many of these to fail.
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Ultimately, maybe you can run a clinical trial with four or five of these,
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and if all goes well, 14 years after you started,
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you will get one approval.
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And it will cost you upwards of a billion dollars
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for that one success.
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So we have to look at this pipeline the way an engineer would,
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and say, "How can we do better?"
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And that's the main theme of what I want to say to you this morning.
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How can we make this go faster?
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How can we make it more successful?
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Well, let me tell you about a few examples
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where this has actually worked.
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One that has just happened in the last few months
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is the successful approval of a drug for cystic fibrosis.
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But it's taken a long time to get there.
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Cystic fibrosis had its molecular cause discovered in 1989
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by my group working with another group in Toronto,
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discovering what the mutation was in a particular gene
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on chromosome 7.
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That picture you see there?
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Here it is. That's the same kid.
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That's Danny Bessette, 23 years later,
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because this is the year,
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and it's also the year where Danny got married,
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where we have, for the first time, the approval by the FDA
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of a drug that precisely targets the defect in cystic fibrosis
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based upon all this molecular understanding.
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That's the good news.
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The bad news is, this drug doesn't actually treat all cases of cystic fibrosis,
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and it won't work for Danny, and we're still waiting
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for that next generation to help him.
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But it took 23 years to get this far. That's too long.
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How do we go faster?
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Well, one way to go faster is to take advantage of technology,
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and a very important technology that we depend on
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for all of this is the human genome,
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the ability to be able to look at a chromosome,
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to unzip it, to pull out all the DNA,
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and to be able to then read out the letters in that DNA code,
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the A's, C's, G's and T's
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that are our instruction book and the instruction book for all living things,
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and the cost of doing this,
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which used to be in the hundreds of millions of dollars,
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has in the course of the last 10 years
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fallen faster than Moore's Law, down to the point
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where it is less than 10,000 dollars today to have your genome sequenced, or mine,
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and we're headed for the $1,000 genome fairly soon.
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Well, that's exciting.
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How does that play out in terms of application to a disease?
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I want to tell you about another disorder.
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This one is a disorder which is quite rare.
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It's called Hutchinson-Gilford progeria,
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and it is the most dramatic form of premature aging.
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Only about one in every four million kids has this disease,
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and in a simple way, what happens is,
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because of a mutation in a particular gene,
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a protein is made that's toxic to the cell
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and it causes these individuals to age
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at about seven times the normal rate.
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Let me show you a video of what that does to the cell.
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The normal cell, if you looked at it under the microscope,
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would have a nucleus sitting in the middle of the cell,
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which is nice and round and smooth in its boundaries
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and it looks kind of like that.
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A progeria cell, on the other hand,
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because of this toxic protein called progerin,
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has these lumps and bumps in it.
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So what we would like to do after discovering this
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back in 2003
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is to come up with a way to try to correct that.
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Well again, by knowing something about the molecular pathways,
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it was possible to pick
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one of those many, many compounds that might have been useful
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and try it out.
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In an experiment done in cell culture
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and shown here in a cartoon,
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if you take that particular compound
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and you add it to that cell that has progeria,
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and you watch to see what happened,
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in just 72 hours, that cell becomes,
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for all purposes that we can determine,
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almost like a normal cell.
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Well that was exciting, but would it actually work in a real human being?
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This has led, in the space of only four years
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from the time the gene was discovered to the start of a clinical trial,
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to a test of that very compound.
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And the kids that you see here
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all volunteered to be part of this,
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28 of them,
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and you can see as soon as the picture comes up
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that they are in fact a remarkable group of young people
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all afflicted by this disease,
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all looking quite similar to each other.
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And instead of telling you more about it,
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I'm going to invite one of them, Sam Berns from Boston,
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who's here this morning, to come up on the stage
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and tell us about his experience
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as a child affected with progeria.
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Sam is 15 years old. His parents, Scott Berns and Leslie Gordon,
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both physicians, are here with us this morning as well.
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Sam, please have a seat.
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(Applause)
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So Sam, why don't you tell these folks
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what it's like being affected with this condition called progeria?
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Sam Burns: Well, progeria limits me in some ways.
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I cannot play sports or do physical activities,
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but I have been able to take interest in things
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that progeria, luckily, does not limit.
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But when there is something that I really do want to do
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that progeria gets in the way of, like marching band
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or umpiring, we always find a way to do it,
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and that just shows that progeria isn't in control of my life.
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(Applause)
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Francis Collins: So what would you like to say to researchers
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here in the auditorium and others listening to this?
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What would you say to them both about research on progeria
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and maybe about other conditions as well?
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SB: Well, research on progeria has come so far
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in less than 15 years,
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and that just shows the drive that researchers can have
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to get this far, and it really means a lot
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to myself and other kids with progeria,
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and it shows that if that drive exists,
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anybody can cure any disease,
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and hopefully progeria can be cured in the near future,
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and so we can eliminate those 4,000 diseases
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that Francis was talking about.
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FC: Excellent. So Sam took the day off from school today
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to be here, and he is — (Applause) --
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He is, by the way, a straight-A+ student in the ninth grade
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in his school in Boston.
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Please join me in thanking and welcoming Sam.
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SB: Thank you very much. FC: Well done. Well done, buddy.
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(Applause)
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So I just want to say a couple more things
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about that particular story, and then try to generalize
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how could we have stories of success
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all over the place for these diseases, as Sam says,
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these 4,000 that are waiting for answers.
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You might have noticed that the drug
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that is now in clinical trial for progeria
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is not a drug that was designed for that.
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It's such a rare disease, it would be hard for a company
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to justify spending hundreds of millions of dollars to generate a drug.
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This is a drug that was developed for cancer.
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Turned out, it didn't work very well for cancer,
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but it has exactly the right properties, the right shape,
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to work for progeria, and that's what's happened.
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Wouldn't it be great if we could do that more systematically?
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Could we, in fact, encourage all the companies that are out there
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that have drugs in their freezers
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that are known to be safe in humans
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but have never actually succeeded in terms
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of being effective for the treatments they were tried for?
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Now we're learning about all these new molecular pathways --
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some of those could be repositioned or repurposed,
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or whatever word you want to use, for new applications,
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basically teaching old drugs new tricks.
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That could be a phenomenal, valuable activity.
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We have many discussions now between NIH and companies
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about doing this that are looking very promising.
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And you could expect quite a lot to come from this.
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There are quite a number of success stories one can point to
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about how this has led to major advances.
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The first drug for HIV/AIDS
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was not developed for HIV/AIDS.
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It was developed for cancer. It was AZT.
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It didn't work very well for cancer, but became
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the first successful antiretroviral,
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and you can see from the table there are others as well.
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So how do we actually make that a more generalizable effort?
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Well, we have to come up with a partnership
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between academia, government, the private sector,
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and patient organizations to make that so.
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At NIH, we have started this new
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National Center for Advancing Translational Sciences.
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It just started last December, and this is one of its goals.
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Let me tell you another thing we could do.
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Wouldn't it be nice to be able to a test a drug
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to see if it's effective and safe
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without having to put patients at risk,
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because that first time you're never quite sure?
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How do we know, for instance, whether drugs are safe
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before we give them to people? We test them on animals.
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And it's not all that reliable, and it's costly,
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and it's time-consuming.
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Suppose we could do this instead on human cells.
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You probably know, if you've been paying attention
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to some of the science literature
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that you can now take a skin cell
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and encourage it to become a liver cell
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or a heart cell or a kidney cell or a brain cell for any of us.
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So what if you used those cells as your test
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for whether a drug is going to work and whether it's going to be safe?
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Here you see a picture of a lung on a chip.
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This is something created by the Wyss Institute in Boston,
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and what they have done here, if we can run the little video,
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is to take cells from an individual,
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turn them into the kinds of cells that are present in the lung,
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and determine what would happen
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if you added to this various drug compounds
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to see if they are toxic or safe.
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You can see this chip even breathes.
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It has an air channel. It has a blood channel.
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And it has cells in between
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that allow you to see what happens when you add a compound.
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Are those cells happy or not?
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You can do this same kind of chip technology
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for kidneys, for hearts, for muscles,
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all the places where you want to see whether a drug
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is going to be a problem, for the liver.
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And ultimately, because you can do this for the individual,
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we could even see this moving to the point
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where the ability to develop and test medicines
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will be you on a chip, what we're trying to say here is
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the individualizing of the process of developing drugs
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and testing their safety.
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So let me sum up.
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We are in a remarkable moment here.
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For me, at NIH now for almost 20 years,
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there has never been a time where there was more excitement
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about the potential that lies in front of us.
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We have made all these discoveries
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pouring out of laboratories across the world.
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What do we need to capitalize on this? First of all, we need resources.
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This is research that's high-risk, sometimes high-cost.
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The payoff is enormous, both in terms of health
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and in terms of economic growth. We need to support that.
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Second, we need new kinds of partnerships
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between academia and government and the private sector
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and patient organizations, just like the one I've been describing here,
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in terms of the way in which we could go after repurposing new compounds.
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And third, and maybe most important, we need talent.
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We need the best and the brightest
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from many different disciplines to come and join this effort --
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all ages, all different groups --
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because this is the time, folks.
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This is the 21st-century biology that you've been waiting for,
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and we have the chance to take that
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and turn it into something which will, in fact,
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knock out disease. That's my goal.
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I hope that's your goal.
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I think it'll be the goal of the poets and the muppets
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and the surfers and the bankers
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and all the other people who join this stage
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and think about what we're trying to do here
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and why it matters.
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It matters for now. It matters as soon as possible.
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If you don't believe me, just ask Sam.
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Thank you all very much.
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(Applause)
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