Experiencing cancer in my family I can tell for sure all of that buzz is quite exciting, but in the last 5 years there haven't been breakthroughs that would significantly improve outcomes for an average patient.
There have been massive improvements in treatments in the last 5 years. Sure, cancer is far from being "cured" - but survival today is far better than 5 years ago for many forms.
Among many others:
- CAR T therapy going from lab to oncology suite (first launch 2017, but use rapidly growing)
- Liquid biopsy going from lab to PCP's office - starting with Grail Galleri and moving from there (yes, the NIH results were weak, but the idea of a liquid biopsy at all would be laughed off 10 years ago)
- Move of Atezolizumab and Tecentriq from infusion (hour) to injection (minutes) to increase availability
- Lower dose CT scanning for lung cancer, including for non-smokers
And a long line of immunotherapies that are making the leap from lab to chair right now.
The last 5 years have probably been the most exciting in cancer research since the launch of the monoclonal antibodies in the early 2010s. There is still incredibly far to go, but the trend is in the right direction: https://employercoverage.substack.com/p/decline-in-cancer-mo...
mRNA cancer vaccines are the most exciting new treatment about to hit the clinic. Moderna's Phase 2b intismeran autogene randomized trial found a 49% (!!!) reduction in the risk recurrence or death for patients with high risk melanoma already on standard treatment. Several Phase 3 trials are underway. mRNA vaccines have the potential to work for a wide variety of tumors.
(95% confidence interval is 0.294-0.887, wide but not too wide, n=157, to be expected for phase 2).
How they work is also completely fucking insane. Intismeran autogene is personalized for every patient via sequencing their tumor DNA. That's sci-fi shit. If you're not impressed by that, you should be. Fast and scalable DNA sequencing, neoantigen identification, RNA synthesis, none of this is easy and all of it relies on recent innovations across multiple fields.
The first proofs of concept for personalized vaccines like this date back to 2017[1] or 2015[2]. The process for designing the vaccines requires a machine learning algorithm first published in 2020[3]. Details of the algorithm aren't available, but it validated against data published in 2019[4], and there have been many recent advancements in algorithms and datasets for biotech ML that it likely relied on. As you might already know, mRNA vaccines were first tested in humans around the 2010s[5].
It may feel that way due to the iterative nature of medical improvements, but over the past few decades there has been a consistent reduction in cancer mortality rates across most types of cancer [0]. Treatments really are getting better and more targeted. Immunotherapy has made huge breakthroughs. Combination treatments allow for significantly improved lifespans and better quality of life during treatments. There are a few cancers that remain hard to treat, but I have a lot of confidence that in the coming decades we will make strides in attacking them. That being said, I'm very sorry to hear about the pain you and your family must be going through. I've had a few close loved ones undergo cancer treatment and it was tough.
Major breakthroughs of the kind you’re talking about are extremely uncommon. Instead it’s lots of little gains that keep adding up because cancer isn’t adapting overall people still get the same mutations they got 10,000 years ago.
So average person with cancer does better when any individuals cancer treatment improves and it keeps compounding over time. This doesn’t mean everyone with cancer gets a slight improvement, often it’s specific types or stages that improve without impacting others. Where general progress comes from is it’s not the same improvements year after year.
https://en.wikipedia.org/wiki/Timeline_of_cancer_treatment_d...
I won't debate what merits a major breakthrough. I will say, that while there hasn't been any major developments in the past five years, I can't draw any conclusions from that tidbit of information.
Examples aside, 5 years isn't long enough for a treatment to move from early mice trials to clinical use. The average time from application to FDA approval is about 10 years.
The breakthroughs happening now will benefit average patients later. It's frustrating, but it's not because we've run out of innovations.
slapshot|6 hours ago
Among many others:
- CAR T therapy going from lab to oncology suite (first launch 2017, but use rapidly growing)
- Approval of Keytruda and similar for many additional forms of cancer (see the 2021-2026 milestones here: https://www.drugs.com/history/keytruda.html )
- Liquid biopsy going from lab to PCP's office - starting with Grail Galleri and moving from there (yes, the NIH results were weak, but the idea of a liquid biopsy at all would be laughed off 10 years ago)
- Move of Atezolizumab and Tecentriq from infusion (hour) to injection (minutes) to increase availability
- Lower dose CT scanning for lung cancer, including for non-smokers
And a long line of immunotherapies that are making the leap from lab to chair right now.
The last 5 years have probably been the most exciting in cancer research since the launch of the monoclonal antibodies in the early 2010s. There is still incredibly far to go, but the trend is in the right direction: https://employercoverage.substack.com/p/decline-in-cancer-mo...
parineum|6 hours ago
That people aren't actually living longer with cancer, they're living longer while we know they have cancer.
Is there any truth to that?
baxtr|6 hours ago
What’s your prediction for the next five years?
greygoo222|5 hours ago
(95% confidence interval is 0.294-0.887, wide but not too wide, n=157, to be expected for phase 2).
How they work is also completely fucking insane. Intismeran autogene is personalized for every patient via sequencing their tumor DNA. That's sci-fi shit. If you're not impressed by that, you should be. Fast and scalable DNA sequencing, neoantigen identification, RNA synthesis, none of this is easy and all of it relies on recent innovations across multiple fields.
The first proofs of concept for personalized vaccines like this date back to 2017[1] or 2015[2]. The process for designing the vaccines requires a machine learning algorithm first published in 2020[3]. Details of the algorithm aren't available, but it validated against data published in 2019[4], and there have been many recent advancements in algorithms and datasets for biotech ML that it likely relied on. As you might already know, mRNA vaccines were first tested in humans around the 2010s[5].
[1] https://www.nature.com/articles/nature22991 [2] https://pubmed.ncbi.nlm.nih.gov/25837513/ [3] https://aacrjournals.org/cancerres/article/80/16_Supplement/... [4] https://pmc.ncbi.nlm.nih.gov/articles/PMC7138461/ [5] https://pubmed.ncbi.nlm.nih.gov/26082837/
RomanPushkin|4 hours ago
it was available for [some] UCSF patients more than 5 years ago
ImageXav|6 hours ago
[0] https://acsjournals.onlinelibrary.wiley.com/doi/10.3322/caac...
Retric|6 hours ago
So average person with cancer does better when any individuals cancer treatment improves and it keeps compounding over time. This doesn’t mean everyone with cancer gets a slight improvement, often it’s specific types or stages that improve without impacting others. Where general progress comes from is it’s not the same improvements year after year.
SapporoChris|5 hours ago
greygoo222|4 hours ago
The breakthroughs happening now will benefit average patients later. It's frustrating, but it's not because we've run out of innovations.