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Nature Podcast

Giant cancer study reveals effectiveness of 'off label' treatments

Nature Podcast

podcast@nature.com

News, Science, Technology

4.5893 Ratings

🗓️ 15 April 2026

⏱️ 27 minutes

🧾️ Download transcript

Summary

In this episode:



00:46 A massive trial assessing the outcomes of ‘off label’ cancer treatment

Research Article: Verkerk et al.



12:49 Research Highlights

Nature: Microbial hockey: bacteria can spin a ‘puck’ just by swimming

Nature: Regular physical activity in midlife cuts risk of early death



15:14 10,000 years of western Eurasian evolution

Nature: Landmark ancient-genome study shows surprise acceleration of human evolution

Research Article: Akbari et al.


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Transcript

Click on a timestamp to play from that location

0:00.0

Nature in a experiment.

0:05.0

Why is blight so far?

0:08.0

Like it sounds so simple.

0:09.0

They had no idea.

0:11.0

But now the data's...

0:12.0

I find this not only refreshing, but at some level astounding.

0:19.0

Nature.

0:25.6

Welcome back to the nature podcast. This week, the effectiveness of off-label cancer therapies, and an ancient genome study, capturing human evolution in action.

0:36.8

I'm Benjamin Thompson.

0:37.8

First up on the show this week, we've got a story about a nature paper that's pulled together

0:50.8

and published 10 years of data from a massive Dutch cancer therapy trial.

0:57.3

Specifically, this trial has been looking at the effects of off-label treatments, where a cancer

1:03.2

therapy is used to attempt to treat a disease other than the one it was designed and approved

1:09.3

for. And there are reasons why drugs might be used

1:12.5

off-label. Perhaps a person's cancer didn't respond to any of the approved treatments, so options are

1:19.3

limited. Or perhaps they have a rare type of cancer, and there aren't many treatment options in the

1:25.1

first place. There have been examples where results from

1:28.7

this approach have been positive, and estimates suggest it's happening with some regularity,

1:34.2

although numbers differ from country to country. The decision on which drugs to try is usually

1:40.3

informed by similarities between the types of cancer involved. For example, doctors might

1:46.3

select a drug designed to treat a cancer in a completely different part of the body, but which

1:51.6

shares the same genetic profile as the one in the patient. Perhaps they share a similar mutation

...

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