Our new paper is now out in European Journal of Cancer
We analyze 55 cancer drugs that target genomic abnormalities & assess the evidence
Only 24% reported an improvement in survival π
A seductive mechanism of action apparently means low levels of evidence
[thread]
Modern oncology has several classes of drugs
Cytotoxic drugs
Checkpoint inhibitors
CAR-T therapies
General targeted drugs &
Drugs that target specific cancer genomic abnormalities
(Genome drugs!)
Genome drugs get outsized attention; Previously we found that (best case scenario) 13% of US cancer patients were eligible for these drugs; leaving 87% not eligible
In our new analysis, we dive into the evidence base of these drugs.
We study 53 drugs approved for 92 unique indications between 2006β2020
We find only a fraction of these drugs improve overall survival!
Even PFS is lack luster!
See figure (Blue is good)
Heme malignancy tolerates more uncertainty than solid cancers (we can speculate why)
Evidence varies by cancer type: NSCLC drugs have only ~10% of drugs showing OS gains while Melanoma does much better with 70+%
When drugs improve survival the median gain is 4.7 months, with some as low as 1.5 months
Our patients deserve better!
FLT3 is the highest, but we all know why that is a distortion (PSST look the at the KM plot)
I am particularly worried by targets that have never established that ANY drug can improve OS
(below)
Overall, we find that, likely b/c these drugs have exciting mechanisms of action and b/c they generate often good responses, we have largely forgiven them from showing robust clinical benefit
But we lower regulatory standards to our detriment, and large uncertainty remains
Check out the paper here, and for more updates on research, follow our lab @vkprasadlab
Our new paper in @EJCI_News argues that Randomized trials are necessary in medicine & PH for interventions w putative benefit & at best MED to LG effect size.
Parachutes & smoking are not good counter examples
Some people argue that b/c we did not need RCTs to know smoking is harmful or Parachutes are life saving, we don't need them to test cloth masking, or the Impella, or some new cancer drug, or HCQ, or <insert ur favorite practice>
But this is based on misunderstanding
There is a huge range of things we can do to someone that might hurt them or save them, imagine the spectrum (below)
Now out in @EJCI_News
Logan Powell & I show where randomized trials necessary
When people say 'we don't need an RCT of smoking (to prove harm) or parachutes (to prove benefit)' does that apply to widespread medical interventions?
𧡠onlinelibrary.wiley.com/doi/10.1111/ecβ¦
Led by Timothee Olivier, our new paper is now out at @JAMANetworkOpen
We analyze 12 years of FDA approvals, and do the hard work of sorting them into
New Mechanism of Action (MOA)
& New MOA for that tumor type
Vs next in class
Few prelim thoughts on this trial (from quick read) #ASH21 1. It is not a 'second line' trial, it is a trial in the worst subset of second line pts & cannot extrapolate beyond
Primary refractory & relapse <12 mo
(TBH, a lot of people doing this already)
As such, it should not generalize to relapse > 12 months
2. That said, for those included, axi-cel seems preferable to chemo then auto; I am not surprised this is true in the most chemo insensitive biology. But a few more thoughts
3. This is Wrong, you are not supposed to do this ππ
Standard practice is to take these pts to CAR-T if needed in the control arm; thus, you must compare routine, upfront CAR-T to using CAR-T as salvage when indicated and standard of care.