Biotech & Longevity · Wednesday, 19 August 2026
01 · Briefing · what happened
One eye chart, a billion dollars: the week the yardstick decided everything
EyePoint lost nearly a billion dollars in an hour because a vision drug missed on the measure the trial had picked, while winning on the one patients complain about. It was that kind of week: an approval built on a brand-new stand-in for remission, a Duchenne filing rewritten around a different body part, and one company that measured the emergencies themselves.
70%
EyePoint share fall
by mid-morning Monday, on one missed measure
41% vs 21%
no detectable leftover cancer
the new stand-in behind the myeloma approval
55%
fewer blood-sugar crashes
Amylyx counted the emergencies, not a lab value
9 to 3
panel vote against Capricor
on heart function; warmer on arm function
At a glance
- EyePoint lost close to a billion dollars in market value on Monday after its eye drug missed the one measure its trial had committed to.
- The drug did well on the thing patients complain about - three-quarters went about eight months without a top-up injection.
- The FDA approved Bristol Myers Squibb's myeloma drug on a new stand-in: no detectable leftover cancer cells, 41% against 21%.
- Full approval for that drug depends on a later trial actually showing patients do better.
- Amylyx went the other way and counted the emergencies themselves, cutting dangerous blood-sugar crashes by 55%.
- Capricor's Duchenne therapy was voted down on heart function but the panel liked its arm-function data, so the filing is being rewritten around that.
- AstraZeneca stopped an 895-patient lung-cancer trial after a monitoring committee said it would miss both of its goals.
Forces in play
Regulators cleared a myeloma drug on leftover-cancer counts and a flu shot on a partial licence, both owing a later trial that proves patients actually do better.
EyePoint is pushing secondary results after missing its main one, and Capricor is rewriting a Duchenne filing from heart function to arm function.
Amylyx counted the medical emergencies themselves and cut them 55%, and AstraZeneca stopped a trial rather than spin an interim miss.
A Neurocrine rare-disease drug is showing deaths and serious side effects in wide use that its small trial never showed.
How it unfolded
- 5 Aug Moderna's mRNA flu shot gets full approval at 50-64, accelerated approval at 65+
- 13 Aug FDA approves Bristol's myeloma drug on leftover-cancer counts, full approval pending
- 14 Aug Capricor says the FDA will review a rewritten Duchenne filing
- 17 Aug EyePoint misses its main goal; AstraZeneca stops a lung-cancer trial
- 18 Aug Amylyx reports a 55% cut in blood-sugar emergencies
- 22 Aug Capricor's decision deadline
Where this points
Watch EyePoint's second trial, LUCIA, due before the end of the year. A clean win on the same eye-chart measure would settle the argument; a second miss would end it.
Full briefing
On Monday morning EyePoint, a biotechnology company outside Boston, lost close to a billion dollars in market value
The drug, Duravyu, is for wet age-related macular degeneration, the form in which leaky blood vessels blur central vision. About 400 people in the LUGANO trial got either Duravyu or aflibercept, the standard eye injection, and were followed for a little over a year
The rest of the result was better. Three-quarters of patients went about eight months without a top-up injection of the usual drugs
The counter-example: measure the thing itself
On Tuesday, Amylyx Pharmaceuticals reported the opposite kind of result. Its drug avexitide is for post-bariatric hypoglycaemia, in which people who have had gastric bypass surgery suffer sudden dangerous drops in blood sugar. In the 78-patient Lucidity trial, avexitide cut the rate of serious-to-severe hypoglycaemic events by 55% against a placebo
Note what was counted. Not average blood sugar. Not a hormone level. The events themselves: the ones that leave people confused, unable to speak clearly, sometimes fainting or having seizures
A new stand-in for remission
On 13 August the FDA granted accelerated approval to iberdomide, sold as Zenbexus, for multiple myeloma in patients who have had at least one prior treatment
STAT called it the first drug cleared by US regulators on that more sensitive measure of remission
Moderna’s mRNA flu vaccine, mFLUSIVA, sits in the same category. Approved on 5 August for adults 50 to 64, it got only accelerated approval for those 65 and over, with a confirmatory trial agreed
When the argument is about which body part counts
Capricor Therapeutics offers the week’s cleanest illustration. An FDA advisory panel voted against its Duchenne muscular dystrophy cell therapy, deramiocel, last month
Argenx had a subtler version. Its blockbuster Vyvgart hit the primary goal in a phase 3 myositis trial, measured on a Total Improvement Score combining muscle strength and physical function
The rest of the week
The FDA approved Tauklarify, an injected agent from Lantheus that makes tau protein deposits visible on a brain scan, for use in assessing Alzheimer’s
STAT’s biotech column set out a related problem. A rare-disease drug from Neurocrine was approved on a small trial. Doctors prescribing it widely afterwards saw deaths and serious side effects the trial had not shown
Deals kept coming. Royalty Pharma paid Zealand $100 million for its rusfertide royalties ahead of an FDA decision on a drug whose phase 3 evidence is a 76.9% response rate
Two harder items. Fierce Biotech examined China’s investigator-initiated trial route after two undisclosed gene-therapy deaths
02 · Lesson · why it matters
The number that stands in for the thing you actually care about
A trial that cannot wait years measures a stand-in instead. It only counts if that stand-in sits on the chain that does the harm.
How it works
- What patients care about takes years to measure
- So trials measure a faster stand-in instead
- The stand-in only counts if it sits on the causal chain
- You cannot know that without the long trial
- Which is the trial the stand-in existed to avoid
The twist
A stand-in only counts if it sits on the chain that causes the harm. Proving it does usually needs the very trial the stand-in was invented to skip.
Where you've seen this
School league tables
test scores stand in for learning, so schools get better at tests
Hospital waiting lists
the queue length stands in for care, so people get moved off the queue
Company targets
quarterly revenue stands in for health, so the future gets sold to hit it
Fitness trackers
steps stand in for health, and you can walk 10,000 of them badly
The catch
Stand-ins are not a scam. Some are well proven, and they let regulators act years earlier on fatal illness - demanding the long answer every time means people dying while everyone waits.
Full lesson
A billion dollars, decided by an eye chart
Nobody was hurt. No safety alarm went off. On Monday morning a company lost close to a billion dollars in an hour. The cause was a decision made years earlier, in a document, about which number the trial would count.
The number was letters read on an optician’s chart. The drug missed on it. On the thing patients actually complain about, the drug did well. That thing is a needle in the eye every month or two, and three-quarters of them went about eight months without a top-up. Neither of those facts changed. What changed was which one had been written down as the answer.
Why trials measure something else
The questions patients care about are slow. Does this person live longer. Do they avoid the heart attack. Can they still see in five years. Answering properly takes thousands of people and years of follow-up, and by then a generation of patients has gone without.
So the field measures a stand-in. A protein level, a scan, a lab count, a score on a scale. The bet is that improving the stand-in means improving the real thing, because the stand-in sits somewhere on the chain that leads there. This week’s myeloma approval is the newest version: the drug was cleared on how many patients had no leftover cancer cells detectable in a deep laboratory search. Not on how long they lived.
The bet, and how it goes wrong
A stand-in is only trustworthy if it sits on the causal chain rather than beside it. Some markers are steps in the harm. Others are symptoms of it - real, correlated, and completely inert. Push on those and the number moves, the disease doesn’t, and the patient gets the side effects without the benefit.
This is not theoretical. The reason regulators are careful is a set of drugs that corrected their marker beautifully and left more patients dead than the dummy pill. The number was not lying. It was just never the thing.
The trap in the middle
Here is the turn. To know whether a stand-in sits on the chain, you have to compare it against the real outcome in a large, long trial. Which is the exact trial the stand-in was invented to avoid.
So most stand-ins are used before they are proven, on the strength of the biology looking right. The regulator’s honest answer to this is a debt. The myeloma approval says in plain words that full approval depends on a later trial showing real benefit. The new flu vaccine got the same conditional treatment for older adults. An approval on a stand-in is not a verdict. It is a loan against one.
Who picks the yardstick, and when
The measure is chosen before anyone sees a result. It is written into the protocol, negotiated between company and regulator, and then fixed. That looks like paperwork. It is closer to the whole game.
Fixed is the point. If a company could pick its measure after seeing the data, every trial would find something that worked. So the after-the-fact argument - our drug would have passed if you drop these nine patients - does not count, however reasonable it sounds. And a company that missed on one part of the body cannot simply reinterpret the same application. It has to go back and file for a different use, judged on a measure the panel liked better. That is what happened to the Duchenne cell therapy this week.
The rule that makes the stand-in trustworthy is also the rule that makes it brutal.
Not the same as the test question
This is a close cousin of a different problem, worth separating. When a blood test comes back positive, what matters most is how rare the disease is. A near-perfect test hunting something rare still produces mostly false alarms. That is about what one result means for one person.
This is the other question. Not how good the measurement is, but whether the thing measured was ever the thing that mattered. A test can be flawlessly accurate about a number that leads nowhere.
What this is not
Stand-ins are not a con, and the honest half of the argument is strong. Some are well validated. They let regulators act years earlier on fatal illness. Demanding the slow answer every time means people dying while everyone waits, and that cost never appears in a trial.
The alternative discipline exists too. One company this week counted the medical emergencies themselves, not an average blood-sugar reading. Those are the crashes that leave people confused and unable to speak, and the drug cut them by more than half. When you can measure the thing, measure the thing.
You live under stand-ins everywhere. Test scores for learning. Waiting-list length for care. Quarterly revenue for a company’s health. Steps for fitness. Each was chosen by someone, for good reasons, before the results were in - and each quietly became the target instead of the goal.
The drugs in your cupboard were licensed on some measure. You were not in the room when it was picked, and neither, in a sense, was anyone. The company chose the measure years before the data. A panel voted on one slice of it. The regulator carries the rest on a promise that a later trial will settle what today’s number could not.
03 · Lab · your turn
Pick the yardstick
Choose what a drug trial counts, then see which hidden truth your choice could and could not tell apart.
04 · Hope · carry this
The argument over what counts as proof is not the system failing. It is the system doing the one thing that separates medicine from wishful thinking: insisting, eventually, on the real answer.
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