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Laura Ingalls Wilder of Little House fame (I mention this a lot as I read these to my children as an adult, and they’re a fascinating look at 1880s America) has lots of places where her mother says “put on your bonnet! Don’t get too much sun!”. We act like people in the past were ignorant but people in the 50s and 60s were just a very special type of arrogant, all of Chesterton’s fences were torn down during that time period.
They thought too much sun was bad for you because back then tanned skin was considering a mark of being poor and pale skin was a mark of being wealthy since rich people didn’t have to work outside.
They also had puritanical Victorian notions of modesty and covering up.
There was no knowledge linking sun exposure to cancer or negative health effects. People in the past indeed were ignorant on many things.
People with light skin should always wear a hat that fully covers the head/face in tropical/equatorial climates (okay, good so far) or else the powerful sun rays will penetrate the skull (?) causing brain damage that will make you go insane (!?!?)
Victorians may have inadvertently protected themselves against excess mortality due to melanomas with their pith helmets, but it’s pretty hard to argue they were actually “correct” with modern hindsight considering the entire chain of reasoning was wrong.
(For example, you see this in Kipling’s writing where he’ll randomly include an ominous case of some guy who forgot/lost his hat and promptly had to be committed to an insane asylum, as one does).
So it's not that they ignored the all knowledge. I blame most of it on the rather detrimental tech advancement. Like cigarettes with filters: now safer (except you can smoke more now, and the cancer risk is still a disaster)
I’d be curious to know if tetraethyllead in gasoline has anything to do with people from that time being cavalier about exposure to the sun, or if the science was just not there to make the connection between sun exposure and skin cancer.
We never wore sunscreen as kids because we didn't burn. I probably have had three sunburns in my life. Learned once I became an adult that that wasn't sound logic...
However, I’ve never gotten so much as a whisper of sunburn / suntan / anything on an actually cloudy day where sun wasn’t hitting me directly. Is the damage a different type that’s imperceptible? Or is this a public health comms strategy where they assume people will see a single cloud in the sky and decide it’s fine to skip sunscreen, so they talk about how you should slather yourself with sunscreen 24/7, even if the sun is obscured?
From https://onlinelibrary.wiley.com/doi/10.1002/ijc.35463
> Cutaneous melanoma (CM) accounted for around 331,700 cancer cases globally in 2022
> An estimated 267,353 (95% uncertainty intervals [UI]: 242,818, 278,638) CM cases were UVR attributable globally in 2022
UVR = Ultraviolet radiation
Cutaneous melanoma (CM) is the vast majority of melanoma cases in the US at least:
> The percentages of melanomas that were cutaneous, ocular, mucosal, and unknown primaries were 91.2%, 5.2%, 1.3%, and 2.2%, from https://pubmed.ncbi.nlm.nih.gov/9781962/
tl;dr ~80% of Cutaneous melanoma cases are attributable to UV exposure.
OP did not say that melanoma has no sun exposure risk but that it is lower than the risks associated with other cutaneous cancers (e.g., SCC and BCC) and it would seem that's true based on the very short search I performed.
https://pmc.ncbi.nlm.nih.gov/articles/PMC5742376/
https://www.merck.com/news/merck-and-moderna-announce-phase-...
Still no actual Phase 3 data presented.
So this should answer the question of "how much better is this with the best we currently have".
https://archive.ph/SQQ97
I wish this treatment was available a few years ago.
Related stories:
https://www.fiercebiotech.com/biotech/merck-and-modernas-per...
https://www.reuters.com/legal/litigation/merck-moderna-say-m...
https://www.wsj.com/health/pharma/moderna-merck-vaccine-succ...
Buddy, this is a phase 3 trial. This is about as close as you can get to "anything that can be used on patients" without already being approved.
It is clear that you don't have experience in this area.
Here's a great blog post on this, "How to build a cancer vaccine, and whether they will work this time": https://www.owlposting.com/p/how-to-build-a-cancer-vaccine-a...
Here's the blog post I wrote on personalized mRNA vaccines: https://hedonicescalator.substack.com/p/did-paul-conyngham-r...
Moderna used a simple heuristic, "how likely is this antigen to show up on the cell surface?" which makes sense, since an antigen has to show up on the cell surface for the immune system to see it. But there's so much missing from this model, and we just don't have enough data. Failures in clinical trials of mRNA vaccines may well be caused by this problem. (Yes, this is a good problem for AI, if we can get enough data).
"Almost never" is doing a lot of work. You may be aware that most drugs fail over the course of development and human trials?
Anyway, checkpoint inhibitor therapy is a massive boon to oncology and was only brought into widespread use over the past 15 years.
Those few exceptions have been monumental in how they've changed cancer treatment. Skin cancer has been particularly well treated with immunotherapy, but other cancers have also benefited from the exact same research and drugs (as it turns out, the specific mutations the immunotherapies like Keytruda target express in other cancers). The reason skin cancer gets so much attention is because it's one of the most commonly diagnosed and treated cancers. (Colon is more common, I believe, but it often doesn't get detected. Get your colonoscopies folks).
It has moved fast enough that I've heard from multiple oncologists that the all 5 year survivability numbers are dated because the treatments are newer than the studies.
We've come a LONG way in a very short period in terms of cancer treatment. It still sucks, but not as much as it once did.
Biotech is one of the very very very few areas of the stockmarket where specialist knowledge generates alpha.
Trolling through random biotechs, learning about their tech, and investing in the most promising applications of that tech in the most impactful areas is something that happens somewhat on publicly traded markets. With tech, most of that happens pre-IPO.
It’s similar to the situation where a company puts out a public offer to buy another company at say, $50 a share on a day that the acquisition target is trading at $40/share.
If the stock of the target company is trading at $46/share, the market is pricing in the probability of the acquisition not happening. If the market knew the acquisition would happen with 100% certainty, the price of the target company shares would be equal to the buyout share price offer. You can assume the risk of the acquisition not happening by purchasing shares at $46, and if it does end up going through, you earn $4 a share from assuming that risk.
I'm very very excited to see what comes next.
I feel like everything companies, and presidents, say now is directly geared to triggering AI trades.
The only thing they are looking at with this drug is people living one more month over existing drugs.
THIS IS NOTHING.
"The median PFS (progression-free survival) for KEYTRUDA was 5.5 months (2-week group) and 4.1 months (3-week group) compared to 2.8 months for ipilimumab (HR 0.58, P<0.00001 for the KEYTRUDA groups vs. ipilimumab,"
https://www.merck.com/news/keytruda-pembrolizumab-mercks-ant...
The median PFS (progression-free survival) for KEYTRUDA was 5.5 months (2-week group) and 4.1 months (3-week group) compared to 2.8 months for ipilimumab (HR 0.58, P<0.00001 for the KEYTRUDA groups vs. ipilimumab, 95% CI, 0.46-0.72 for 2-week group and 0.47-0.72 for 3-week group, respectively). The estimated 6-month PFS rates for the KEYTRUDA and ipilimumab arms were 47.3 percent, 46.4 percent and 26.5 percent, respectively. One-year OS for KEYTRUDA was 74.1 percent (2-week group) and 68.4 percent (3-week group) compared to 58.2 percent for ipilimumab (HR 0.63 [95% CI, 0.47-0.83, P=0.00052] for the 2-week group and HR 0.69 [95% CI, 0.52-0.90, P=0.00358] for the 3-week group). At the time of analysis, median overall survival was not reached in any treatment group.
2. I don't think AI was mentioned once in this press release.
3. This drug was approved for trial in 2014, so if it had something to do with deep learning, that would actually be a massive announcement.
4. The paragraph immediately following the one you clipped talks about Overall Response Rate (ORR) and throughout the release they discuss Overall Survival (OS).
5. This is not "NOTHING" in statistical terms, but even more so to people with melanoma.