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Biotech & Longevity · Wednesday, 3 June 2026

01 · Briefing · what happened

The weight-loss drugs keep doing things they weren't designed to do

Biotech & Longevity 7 min 40 sources

Two large studies this week tie GLP-1 drugs to less cancer and less addiction — both are association, not proof. Plus real cancer-immunotherapy wins, a hepatitis B near-cure, and a longevity reality check.

Key takeaways

  • Two large studies this week linked GLP-1 drugs (Ozempic, Wegovy) to less cancer and less addiction — but both are associations, not proof of cause.
  • The same week brought real cancer-immunotherapy wins with limits attached, a near-cure for a hepatitis B virus that infects 250 million people, and an FDA push to speed gene therapies.
  • On longevity, the money is loud but the evidence is quiet — a reminder to separate the hype from what's actually been shown.

The drugs people know as Ozempic and Wegovy were built to manage diabetes and weight. This week two large studies tied them to two more things: less cancer, and less addiction. Both findings are association, not proof — but they keep arriving, and they framed a busy week at the world’s largest cancer conference.

The GLP-1 drugs keep widening

GLP-1 drugs are a class of medicines — semaglutide is the best-known — that mimic a gut hormone to curb appetite and steady blood sugar. They were approved for diabetes, then obesity. The news now is what else they seem to touch.

At ASCO, the American Society of Clinical Oncology’s annual meeting — the field’s biggest gathering — researchers presented several studies linking GLP-1 use to lower cancer risk. One analysis found people on the drugs were about 30% less likely to develop breast cancer, the world’s most common cancer, than people not taking them [3][6]. Other work suggested a benefit across several cancer types, and a possible role added to standard breast-cancer treatment [3][6].

Hold the excitement at the right level. These are observational studies — they compare people who happened to take the drugs against people who didn’t [3]. They can show a link; they cannot prove the drug caused it. People on GLP-1 drugs lose weight, and obesity itself raises the risk of many cancers, so some of the effect may simply be the weight loss, not the molecule. The findings point somewhere worth testing properly. They are not a result from a trial built to answer the question.

The same week, a study of 606,434 US military veterans with type 2 diabetes, published in The BMJ, tied GLP-1 drugs to less addiction [2]. Among veterans with no substance-use disorder at the start, those on the drugs had a 14% lower risk of developing one — and lower risk across alcohol, cannabis, cocaine, nicotine and opioids [2]. Among the 81,617 who already had an addiction, the drugs were associated with 40% fewer overdoses and 50% fewer drug-related deaths [2].

Those are large numbers. The same caveat governs them: this is electronic-health-record data, an association, not a controlled trial [2]. Veterans with diabetes are not the general population. And the study reports that the drugs “were associated with” these outcomes — the careful phrasing that means we saw a link, we did not prove a cause [2]. The pattern is striking enough that proper trials are the obvious next step. It is not, yet, a reason the drugs do what these headlines imply.

Cancer’s immune treatments post real wins — with limits attached

Two cancer results this week were stronger than association, because they came from trials where doctors treated patients and watched what happened.

In a UK trial, all 32 patients with stage two or three bowel cancer saw no return of their disease three years later [34]. They shared a specific genetic profile — a faulty DNA-repair system, found in about 10–15% of bowel-cancer cases — that makes tumours easier for the immune system to spot [34]. The patients got the immunotherapy drug pembrolizumab before surgery; it removed the need for chemotherapy [34]. Immunotherapy means a drug that takes the brakes off the body’s own immune cells so they attack the tumour.

The caveat is in the size and the selection. Thirty-two patients is a small trial, and only patients with that one genetic profile were eligible [34]. A 100% result in 32 carefully chosen people is a strong signal, not a settled standard of care. It needs larger trials before it changes how most bowel cancer is treated.

A second result drew the word “unprecedented” from the doctors running it [39]. In an international trial across 11 countries, an injected drug called amivantamab was given to patients whose cancer had spread or returned and had stopped responding to chemotherapy and immunotherapy [39]. It shrank tumours in more than a third of them; in 15 patients the tumours disappeared entirely [39]. For people who had run out of options, that matters.

Read it precisely. “More than a third responded” is the headline number; the complete disappearances were 15 patients, not the whole group [39]. These were people with no remaining standard treatment, which is exactly where a new drug gets its first chance — and exactly why the result, while real, is early.

The week also carried a reminder that efficacy is not the only number. Abivax reported strong results for its drug in a phase 3 trial — the large, final test before approval — for ulcerative colitis, an inflammatory bowel disease [5]. The company’s share price fell anyway, because cancer cases turned up among trial participants [5]. A drug’s safety signal can overshadow its efficacy, and investors price both. AstraZeneca, meanwhile, missed the main goal of a phase 3 trial and is now pitching a smaller patient subgroup to regulators for a rare-disease approval [7]. A “miss” followed by a subgroup pitch is common; it is also how a drug ends up approved on weaker evidence than a clean win would have given.

A near-cure for a virus that infects 250 million people

GSK reported that its hepatitis B drug produced a “functional cure” in about one-fifth of patients in a trial — the company called it a major step [11]. Hepatitis B is a chronic liver infection carried by an estimated 250 million people worldwide; it can lead to liver failure and cancer, and current treatments usually suppress the virus rather than clear it [11].

“Functional cure” is a specific, careful term. It means the virus is controlled to undetectable levels without ongoing treatment — not that every trace is gone forever [11]. One-fifth is a minority of patients, and the durability question — does the control hold for years — is what later, larger trials have to answer. For a disease where the bar has been suppression, not clearance, a one-in-five functional cure is a genuine move. It is a step, as GSK said, not an arrival.

Longevity: the money is loud, the evidence is quiet

Anti-ageing biotech keeps raising large sums. NewLimit, the cellular-rejuvenation company backed by Coinbase founder Brian Armstrong, pulled in $435 million to work on resetting old cells to a younger state [25]. The science it chases — partial cellular reprogramming — is real and active. The honest status is preclinical: this is lab and animal work, not a treatment people can take [25].

That gap between funding and proof is exactly the subject of a new book reviewed in Nature this week. The longevity researcher Saul Newman argues that claims about the limits of human lifespan are riddled with hype, thin data and weak science [18]. His earlier work showed that many of the world’s reported “supercentenarians” — people said to be 110 or older — sit in places with poor birth records and high pension fraud, not unusual longevity [18]. The review’s blunt title: we simply don’t know how long humans can live [18].

The lab evidence underlines the caution. A careful study in Nature Aging this week tested time-restricted feeding — eating only within a set daily window — in 528 mice [27]. It improved several health measures in both sexes and extended lifespan in males [27]. Two things to hold: the lifespan gain was in male mice only, and it was in mice [27]. Most things that work in mice never work in people. A diet result in rodents is a lead for human research, not a human result.

The quieter shift: the FDA tries to speed gene therapies

The story most likely to be missed this week came from the regulator. The FDA, the US drug agency, issued draft guidance meant to speed up gene therapies for rare and life-threatening diseases [8]. The idea is to let developers reuse existing safety and manufacturing knowledge — from related, already-studied therapies — instead of repeating tests from scratch for each new one [8].

This is plumbing, not a headline cure, which is why it travels quietly. It also matters more than most single trials. Gene therapies are slow and expensive to develop, and many rare diseases have too few patients to ever justify the full, redundant testing path [8]. A review in Pediatric Research this week noted the FDA had approved 44 cell and gene therapies as of May 2025, 14 of them for children [1]. Rules that lower the cost of the next 44 shape which diseases get a therapy at all. It is draft guidance — not final, and the details will be argued over. The direction is the news.

02 · Lesson · why it matters

How to tell a signal from a headline in medicine

A medical claim is only as strong as its stage, its sample, and who stood to gain — the excitement tells you nothing.

The same week gave you four different kinds of “it works”

Read this week’s biotech news fast and it all sounds like progress. Weight-loss drugs cut cancer. They cut addiction. A jab melts tumours. A virus gets a near-cure. Old cells get $435 million to grow young.

But those five claims are not the same kind of claim. One is an observed link in a database. One is a result in 32 hand-picked patients. One is a result in patients who had run out of other options. One is a one-in-five effect. One is lab work with no human treatment behind it.

The headlines flatten all of that into a single word: breakthrough. The skill worth having is the one that un-flattens it — that reads the same news and sees five different strengths of evidence.

Where a result sits decides what it can claim

Drugs move through stages, and each stage answers a different question. Early lab and animal work asks: could this do anything at all? A phase 1 trial asks: is it safe in a few people? Phase 2 asks: does it seem to work, roughly? Phase 3 — hundreds or thousands of patients, compared against a dummy or the current standard — asks the real question: does it work, and is it worth the risks?

A claim borrows its weight from its stage. “Reverses ageing in mice” and “cured one-fifth of patients in a trial” are not neighbours. The mouse result is a question; the trial result is an answer, even a partial one.

This is why the longevity money is the quietest story even though the number is the loudest. A company can raise hundreds of millions on lab science that has never touched a patient. The funding measures investor belief. It does not measure proof. The two get reported in the same sentence, and the reader is left to tell them apart.

Two of this week’s biggest claims — weight-loss drugs cut cancer, weight-loss drugs cut addiction — share a hidden word: associated. Researchers looked at large groups of people, compared those who took the drugs against those who didn’t, and found the drug-takers had less cancer and less addiction.

That is a link. It is not proof the drug did it.

Here is the trap. People who take weight-loss drugs lose weight. Obesity raises the risk of many cancers. So the lower cancer rate might come from the weight loss, not the molecule — or from something else that separates the two groups, like who can get the drug in the first place. The careful scientists know this, which is why they wrote “associated with,” not “caused.” The honest reader watches for that exact word. When a finding comes from comparing groups rather than from a trial built to test one thing, it points somewhere worth testing. It has not tested it yet.

A small, perfect result is a strong signal and a narrow one

Then there’s the bowel-cancer trial: all 32 patients cancer-free three years later. A perfect score. It is genuinely a strong signal — and the two reasons it’s strong are the same two reasons to keep it in proportion.

It worked in 32 people, not 3,200. And those 32 weren’t a cross-section of bowel-cancer patients — they all shared one specific genetic profile, found in maybe one in seven cases, that makes their tumours easier for the immune system to find. A 100% result in a small, carefully chosen group tells you the idea is worth a bigger trial. It does not yet tell you what happens in the messier, larger world of everyone else.

The same shape governs the “tumour-melting” jab. The dramatic disappearances were real — and they happened in patients who had already run out of every standard option. That’s where a new drug gets tested first, and where even a modest win looks miraculous against a background of nothing.

Follow who benefits from the framing

The last move is to ask who is telling you, and what they gain. A company announcing its own drug’s “major step” is not lying — but it chooses which number leads. GSK’s hepatitis B drug worked in one-fifth of patients; “functional cure” is the headline, “one in five” is the rate. Both are true. The company leads with the first.

The market does the reverse and it’s instructive. Abivax posted strong trial results and its share price fell — because cancer cases showed up among participants, and investors weighed the danger against the benefit. The efficacy number and the safety number are both real; which one you lead with is a choice, and the choice reveals the interest behind it.

None of this means the news is fake. The bowel-cancer patients are really well. The hepatitis drug really cleared the virus in some people. The skill isn’t suspicion — it’s calibration. Stage, sample, and interest are the three dials. Read any medical claim with all three turned up, and the same headline that used to read as a breakthrough starts to read as what it actually is: a result of a particular size, at a particular stage, told by someone with a particular reason to tell it.

03 · Lab · your turn

Call the Claim

Rehearse judging real medical claims by stage, sample, and whose interest shaped them — not by how exciting they sound.

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