1) We start by describing how myeloma is incredibly heterogenous yet treated in a uniform fashion.
There indeed is ample opportunity to treat myeloma in a personalized fashion based on unique features!
Next, we talk about melflufen.
At a ODAC meeting, the sponsor of melflufen tried to tell us that for elderly patients (who represented a very small subset) of patients on the trial, melflufen was better than pomalidomide.
The FDA brilliant response 👇
⭐️If you study enough subgroups, it is likely that some will be positive by chance alone. Some will be positive even if they lack any biological plausibility.
The more ways you slice the data and look, the greater risk that some findings are significant because of chance alone
That said and done- perhaps IMiD's are tough in elderly patients, and benefits attenuated- and this ought to be investigated further. But granting approval based on a subgroup of 76 out of 495 patients?! Further data is needed, and we commend the FDA on their response!
Is selinexor uniquely effective for del17p?
We highlight how Karyopharm markets selinexor as being more effective for p53 "wildtype" in other cancers, and being more effective for p53 mutant/17p deleted myeloma.
How can the same drug with same mechanism of action do that?!
Next- we move on to isatuximab and gain1q. Isatuximab is an unquestionably active/effective drug!
But can we say its uniquely effective in gain1q based on analysis of 3 vs 2 trials?
But what's our null hypothesis? That gain1q wouldn't benefit from addition of a third drug?🧐
If we allow industry's marketing agenda of subgroups to prevail, we run the risk of patients receiving treatment on the basis of "multiplicity" rather than biological/clinical efficacy!
We highlight the problematic role oncology news websites such as OncLive play in this issue.
We end by highlighting solutions:
I thank my friends for their tremendously helpful feedback.
And I thank Chris Booth- a senior author on this paper, who has taught me so much and been a mentor to so many of us including @AaronGoodman33 and @oncology_bg
Also- I must add- we highlight and contrast this to venetoclax- where robust biological data exists, and numerous randomized trials are ongoing to confirm efficacy and safety!
Actual solutions here (wrong screenshot)!
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Ten important observations about myeloma and its precursors that I often discuss with patients and teach to trainees in my clinic.
An educational thread
🧵
#mmsm
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1) Most, but not all disease progressions at the time of relapse are biochemical (as in myeloma proteins increasing) and not clinical (as in new organ damage, anemia, bone lesions etc)
2) For those with high-risk disease, remissions appear to be very short without a transplant, and the role of transplant even more important, as shown in this excellent meta-analysis of high-risk disease patients across trials.
Our trial of surveillance incorporating DW-whole body MRI q6 mo for high-risk smoldering myeloma is active.
This is a multi-center effort that aims to define natural history of SMM, and show that close surveillance can prevent morbidity while keeping people off treatment
🧵
This trial involves recruiting 100 patients with high-risk SMM and surveilling closely with q6 month MRI, yearly marrows, and frequent labs.
We aim to show that "morbid" progression events such as fractures, bone lesions and renal injury that doesnt promptly reverse are rare
Link:
I sincerely wish to thank the key collaborators who have helped design this study- my dear friend @rajshekharucms over many calls and meetings, @AaronGoodman33 , @rubinstein_md and Dr. Nishi Shah.
Inspired by a recent discussion on twitter/X about a trial- here’s a thread about the importance of intent to treat analysis, and the caveats/shortcomings of per-protocol or analysis per “compliance/adherence”.
Buckle yourself up for an educational 🧵
This was a trial of Mediterranean diet in reducing breast cancer recurrence.
We know the Mediterranean diet is good for you- in a rigorous randomized trial, it has actually reduced cardiovascular morbidity.