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 πŸ‘‡

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

pubmed.ncbi.nlm.nih.gov/33862157/
In our new analysis, we dive into the evidence base of these drugs.

We study 53 drugs approved for 92 unique indications between 2006–2020
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

ejcancer.com/article/S0959-…

β€’ β€’ β€’

Missing some Tweet in this thread? You can try to force a refresh
γ€€

Keep Current with Vinay Prasad, MD MPH πŸŽ™οΈπŸ“·

Vinay Prasad, MD MPH πŸŽ™οΈπŸ“· Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @VPrasadMDMPH

21 Dec
In our new paper in @JAMANetworkOpen we take a deep look into cost-effectiveness (CEA) studies of cancer drugs

Bottom line: If a CEA study is funded by pharma, it is 40x (OMG!) more likely to find the drug is cost effective

A 🧡 explaining what we found
jamanetwork.com/journals/jaman…
For every cancer drug indication approved between 2015-20, we searched for cost-effectiveness studies

we found between 0 and 9 per drug!!

Some trials were industry sponsored & others neutral
Here are the baseline characteristics of the studies we looked it.

Only 1/2 to 2/3 of drugs have even shown they improve survival

The rest have unknown effects on survival

That is not good enough

It is FDA failure! (these days that's common)
Read 8 tweets
19 Dec
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

Here is the explanation 🧡
onlinelibrary.wiley.com/doi/abs/10.111…
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)

Let's start on the harms side
Read 14 tweets
18 Dec
Swimmers, Spider, & Waterfall Plots are everywhere in Oncology

Led by @mlythoe & Olivier
We offer an improvement in our new paper
The Iceberg Plot

Let me explain why it is preferable & teach you about all 4....
[Tweetorial]
ejcancer.com/article/S0959-… Image
All other plots we use in oncology
Tell you what happens AFTER you start the protocol

A swimmers plot shows when treatment was given, and when response and progression occurred for each individual Image
A spider plot shows the tumor size for each patient, every time they were assessed, over time. Image
Read 11 tweets
16 Dec
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?
🧡
onlinelibrary.wiley.com/doi/10.1111/ec…
2
Read 4 tweets
14 Dec
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

jamanetwork.com/journals/jaman…
First we find, more drug approvals over time!

More approvals means more innovation, right?
Next we show how many drug approvals are truly innovative

The dark bar shows the first approval of a new MOA across tumor types, or within a tumor type (bottom pane)

(bottom pane) the brown bar is moving to an earlier line
light blue = next in class
Read 7 tweets
11 Dec
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) Image
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 Image
3. This is Wrong, you are not supposed to do this πŸ‘‡πŸ‘‡
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.

And you don't adjust for it Image
Read 9 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us on Twitter!

:(