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.
The big success story, about 20 years old now, is testicular cancer. You can have metastatic testicular cancer with tumors all over your body (like Lance Armstrong had) and they can cure it. They use platinum based chemotherapy and it's not really well understood why it works for testicular cancer, but not others.
The story with childhood leukemias is similar. They figured out how to combine a bunch of chemotherapy to get the cure rate up pretty high. Leukemia in a child used to be (1990s) 90% fatal, it's like 10% now.
Besides those, most of the advances in the past few decades come from early detection/ surgery or just prevention (stop smoking).
There is some hope though. When people first started studying cancers at the molecular level, one of the first things they noticed was how often a gene called Ras was mutated in different cancers. It turns out that designing a drug for Ras was really hard, but it finally got done, it's called daraxonrasib. They just released phase III human trials with this drug in pancreatic cancer a week or two ago and it destroyed the standard of care (Chemotherapy), but that is saying people who were dying in 1-2 months were still alive after 5-6 months.
The former senator Ben Sasse was diagnosed with metastatic pancreatic cancer last December. Historically, that's like 5% survival rate for 5 years. He is on daraxonrasib. We will see how it works out.
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.
https://en.wikipedia.org/wiki/Oncogene
at the simplest level, the particular gene, and particular perturberance, sets the "type" of cancer.
there will most often be additional genetic abnormalities giving nuance to the character of the oncotype.
the tumour is originated from a cell type of specific differentiation, and developmental potency, further widening the pool of possible cancer type.
immunotype of cancer also sets the relationship between cancer and the body.
the cells of the body are setup for a functional death and replacement so when you try to rescue a particular cell [or cohort] you are fighting against how the grand scheme of tissue maintenance operates.
unless you have concern for a particular long lived cell, it is best to destroy the tumour cell, and let the next cells in line replace them.
it is still a multifacet strategy being developed, inhibit the genetic properties of the tumour, and target the immunotype for destruction.
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.
[1](https://www.propublica.org/podcast/revlimid-cancer-drugs-fda...)
Just as attacking such problems with rocket launches involves hundreds of different approaches, that’s the situation for cancer. I’d also point out that this is why it was really not trivial to identify microbial and viral causes of disease in the 19th century - especially since we now know that certain kinds of infectious disease can themselves result in cancer initiation. It’s definitely a hard set of problems.
I would also add, there was a concerted effort by industry to promote ‘inherent genetic malfunction’ as the cause of cancer in the late 1990s and early 2000s, but the reality is that exposure to industrial carcinogens tracks closely with a wide variety of cancers (skin, digestive tract, etc.). This was a very deceptive and dishonest approach to avoiding regulation.
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/
evolution isnt about generating a response to a challenge, its about differential success.
those cells [oncocytes] that have properties conferring resistance carry it as un-utilized baggage, those without said properties make a living without that fetter.
the selective factor comes into play when payloaded LNP [in this case] facillitates destruction of "nonresistant" oncocytes and spare the "resistant"
the resistance is not generated in response to the challenge, it is already present, and confers survivorship in the face of the administration of the drug.
I've heard about drug resistance in bacteria leading to slower growth / reduced virulence. Maybe the same would occur with cancers. A drug that could effectively switch an aggressive cancer into a slow-growing one wouldn't be the worst thing.
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 paper describes Cas12a2. This is a different mechanism with discovery origins in - of all things - agriculture. It does not attempt in any way to reprogram cells. It uses a guide protein to locate a specific mutation with exacting precision and, when it activates, unleashes total destruction of the cell.
The implications of Cas12a2 on undruggable conditions that exhibit known driver mutation profiles is profound.
Source: I have personally funded novel research based on Cas12a2 for an undruggable condition I have. I have personally seen my condition "cured" in vitro using this technology and it left all of my WT cells unharmed. Some of the researchers I've funded are co-authors in the paper linked. I am a layperson in this field (I'm a SWE, not in biotech), but I am happy to answer questions.
The post on AI and and cures for cancer is https://www.writingruxandrabio.com/p/a-response-to-dario-amo... .
> 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.
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.
[1]: https://www.clinicalcorrelations.org/2019/02/22/the-history-...