I hope this finally works out. I remember almost exactly ten years ago I got excited about one of these proposed cancer cures, tried to talk about it at lunch with my coworkers, and they laughed at me for believing.
What economic / political model would cause the society to prioritize this over adtech? It seems so unsettling that brilliant human minds are trying hard, every day, to figure out how to make it impossible to bypass watching ads on YouTube, instead of helping cure cancer.
> Much like other CRISPR therapies, delivery is a critical challenge, i.e., getting the large genome-cutting enzyme to all the targeted cells efficiently.
makes me think this is in vitro so far. So, years to decades away from being available for actual treatment in humans. Still good news.
Over on reddit people were debating whether cancer should be cured since it disproportionately affects rich people and it made me realise how far reddit has fallen. It's just a botnet now to manipulate elections.
This is why I hate patents. If CRISPR were put behind a paywall, none of this would have happened. Everything having to be about profit is getting tiring.
CRISPR is an extremely overhyped approach which found a marketing engine via popular science. There is 1 FDA approved CRISPR therapy as compared to 7 for AAV and 7 for Lentivirus.
Counting all viral vector therapies that have been approved, we’re sitting at 19 approved therapies versus 1 for CRISPR.
I think CRISPR ideas in a lab are just an easy way into the mainstream press, but viral vector delivery is the real future. It just didn’t get the same news cycle, for whatever reason.
The idea of using CRISPR/Cas to detect tumor-specific mutations that aren't necessarily oncogenic and then kill the cell is not a new one [0, 1, 2]. However, previous studies used Cas9, which just damages the DNA at the target site; this uses Cas12a2, which is far more destructive because it shreds the chromatin in the cell once activated by detecting the target sequence.
As with any cancer treatment, it's likely the tumor will evolve resistance. My guess is that cells will find ways to reject the lipid nanoparticles used to deliver the CRISPR/Cas mRNA and associated guide sequence(s), either via modifications to the cell surface (preventing LNP uptake) or via changes to endosomal/lysosomal pathways (causing the mRNA payload to get degraded before it has a chance to be translated into protein).
So how do drugs like this get fast tracked so that people who are in danger of dying can exercise their freedom and opt into experimental treatments very easily
Does anyone know a website where I can see/read of how many cancers (and their variants) we've effectively solved, have drugs to negate their effects, have experimental drugs for and uncurable cancers? I think that graph would be awe inspiring looking at the past decade of advancements.
What's more crazy is that we're slowly going from millenia, to decades, to likely years in the near future from being presented a biological problem and achieving the next milestone in solving it. We might have "AI", but we also have brilliant minds right now that are speeding up development to a pace that would be unimaginable just few years ago.
Basically everything that was invented up to 3 years ago was invented without the help of "AI". And that includes "AI" itself, for we, humans, invented that too.
Not exactly what you're looking for, but OWID has a bunch of great visualizations about cancer, including ones that really show the progress we've made (and how much we've yet to make!)
It's difficult to do that because we don't even really know how many cancers there are.
Cancer is best understood as a family of tens of thousands of diseases. They're a whole range of different genetic changes that can happen which result in similar categories of symptoms and consequences. They can also be incredibly complex, such as being the result of hundreds of stacking genetic defects acquired over a lifetime. There can be a thousand varieties of one specific type of lung cancer, and they might all react differently. Some of our solutions might work on a lot of them, but others might only work on a handful. And we're at the beginning of figuring all this out.
CRISPR may eventually allow us to genetically profile a cancer and design highly targeted medications to cure them, but we don't know yet how well it will work. It may only work on a portion of them. It may have worse outcomes than chemotherapy or radiation. It's nice to think that we're going to find a magic solution to the entire problem, but things almost never work that way. I think we're going to be able to resolve a wide range of issues, but I don't think it will really cure cancer as a whole.
I think it's difficult to objectively quantify "effectively solved". A good source with loads of information about many diseases and their clinical status is OpenTargets, e.g. https://platform.opentargets.org/disease/EFO_0003860
All in all what a century to be alive in, 100 years ago many people were living in mud huts globally (even in rural Europe) and now we have CRISPR, self-driving and hopefully UBI in a few years/decades. So much to look forward to.
#TIL multiple myeloma went from being a death sentence in the 90's to quite manageable using a really old compound called thalidomide[1]. Though it sad that it was exploited for almost two decades to line the pockets of a dozen rich a*holes.
What stands out to me is how cancer therapy keeps moving from broad destruction (chemo/radiation) toward increasingly precise identification of malignant cells. The challenge no longer seems to be "can we kill cancer cells?" but "can we reliably identify only cancer cells and reach all of them?" This paper looks like another step in that direction.
In order to kill all cancer cells in the body, it probably needs to be delivered to every single cell in the organism, and scan the nucleus of that cell. Viruses usually don't infect every single cell, just a small percentage.
So one needs to figure out a delivery method that is efficient enough, and that doesn't elicit an immune response. But I guess one can analyze the cancer in the lab and figure out which receptors it expresses, and then bind to those? We could have a toolkit of different delivery methods, tailored for each patient's cancer.
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[ 3.3 ms ] story [ 65.6 ms ] threadNature - https://www.nature.com/articles/s41586-026-10738-7
> Much like other CRISPR therapies, delivery is a critical challenge, i.e., getting the large genome-cutting enzyme to all the targeted cells efficiently.
makes me think this is in vitro so far. So, years to decades away from being available for actual treatment in humans. Still good news.
Counting all viral vector therapies that have been approved, we’re sitting at 19 approved therapies versus 1 for CRISPR.
I think CRISPR ideas in a lab are just an easy way into the mainstream press, but viral vector delivery is the real future. It just didn’t get the same news cycle, for whatever reason.
As with any cancer treatment, it's likely the tumor will evolve resistance. My guess is that cells will find ways to reject the lipid nanoparticles used to deliver the CRISPR/Cas mRNA and associated guide sequence(s), either via modifications to the cell surface (preventing LNP uptake) or via changes to endosomal/lysosomal pathways (causing the mRNA payload to get degraded before it has a chance to be translated into protein).
[0] https://pubmed.ncbi.nlm.nih.gov/28575452/
[1] https://www.nature.com/articles/s41598-018-30205-2
[2] https://www.nature.com/articles/s41467-020-18875-x
The post on AI and and cures for cancer is https://www.writingruxandrabio.com/p/a-response-to-dario-amo... .
What's more crazy is that we're slowly going from millenia, to decades, to likely years in the near future from being presented a biological problem and achieving the next milestone in solving it. We might have "AI", but we also have brilliant minds right now that are speeding up development to a pace that would be unimaginable just few years ago.
Basically everything that was invented up to 3 years ago was invented without the help of "AI". And that includes "AI" itself, for we, humans, invented that too.
So yup, humans can be quite resourceful.
https://ourworldindata.org/cancer
Cancer is best understood as a family of tens of thousands of diseases. They're a whole range of different genetic changes that can happen which result in similar categories of symptoms and consequences. They can also be incredibly complex, such as being the result of hundreds of stacking genetic defects acquired over a lifetime. There can be a thousand varieties of one specific type of lung cancer, and they might all react differently. Some of our solutions might work on a lot of them, but others might only work on a handful. And we're at the beginning of figuring all this out.
CRISPR may eventually allow us to genetically profile a cancer and design highly targeted medications to cure them, but we don't know yet how well it will work. It may only work on a portion of them. It may have worse outcomes than chemotherapy or radiation. It's nice to think that we're going to find a magic solution to the entire problem, but things almost never work that way. I think we're going to be able to resolve a wide range of issues, but I don't think it will really cure cancer as a whole.
[1](https://www.propublica.org/podcast/revlimid-cancer-drugs-fda...)
So one needs to figure out a delivery method that is efficient enough, and that doesn't elicit an immune response. But I guess one can analyze the cancer in the lab and figure out which receptors it expresses, and then bind to those? We could have a toolkit of different delivery methods, tailored for each patient's cancer.
https://www.nature.com/articles/s41586-026-10466-y
[1]: https://www.clinicalcorrelations.org/2019/02/22/the-history-...