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Theralase Technologies Inc. V.TLT

Alternate Symbol(s):  V.TLT.WT | TLTFF

Theralase Technologies Inc. is a Canada-based clinical-stage pharmaceutical company. The Company is engaged in the research and development of light activated compounds and their associated drug formulations. The Company operates through two divisions: Anti-Cancer Therapy (ACT) and Cool Laser Therapy (CLT). The Anti-Cancer Therapy division develops patented, and patent pending drugs, called Photo Dynamic Compounds (PDCs) and activates them with patent pending laser technology to destroy specifically targeted cancers, bacteria and viruses. The CLT division is responsible for the Company’s medical laser business. The Cool Laser Therapy division designs, develops, manufactures and markets super-pulsed laser technology indicated for the healing of chronic knee pain. The technology has been used off-label for healing numerous nerve, muscle and joint conditions. The Company develops products both internally and using the assistance of specialist external resources.


TSXV:TLT - Post by User

Post by ScienceFirston Nov 25, 2022 11:43am
224 Views
Post# 35128280

Upcoming CR % @90 days = 71%? Extrapolation on 100 patients

Upcoming CR % @90 days = 71%? Extrapolation on 100 patients
TR = CR + PR.  And TR is what the FDA is focusing on.  Not just CR.

In the latest update of August 30 2022, there were 7 patients with a pending status, out of the 45 patients treated. 

We had 66% TR, out of 38 evaluable patients.   

The break down was like this:

50% CR (so 19 patients)
16% PR (so   6 patients)
66% TR (so 25 patients (19 + 6))

That means 25 TR patients.  Chances are excellent that these 7 pending status patients all turn TR (in a mix of CR and TR).  We would then aim for a 71% TR ((25 + 7) / 45).  That would be excellent and unheard of.
 
Here's though different legitimate scenarios regarding the change of status by these pending status patients: 
 
- if 7 out of the 7 pending patients turn TR, then we hit 71% CR (@90 days)
- if 6 out of the 7 pending patients turn TR, then we hit 69% CR (@90 days)
- if 5 out of the 7 pending patients turn TR, then we hit 67% CR (@90 days)
- if 4 out of the 7 pending patients turn TR, then we hit 64% CR (@90 days)
 
That would not be much of a change versus the 66% of last August, but that would tell us a lot about a fairly good reading on what the optimized group could be trending for, for a pool of 100 patients.   
 
- 7 out of the 7 pending patients turn TR, then we hit 100% CR (for this pool of 7 pending status patients)
- 6 out of the 7 pending patients turn TR, then we hit   86% CR (for this pool of 7 pending status patients)
- 5 out of the 7 pending patients turn TR, then we hit   71% CR (for this pool of 7 pending status patients)
- 4 out of the 7 pending patients turn TR, then we hit   57% CR (for this pool of 7 pending status patients)

We could then "extrapolate" where we could land with 100 patients, for example.  We already have treated 45 out of these 100.  So 55 remain to be enrolled.
 
For example, if we have 55 additional patients @86% TR, that would represent 47 TR patients.  Adding them to our existing 32 TR (25 + 7) out of the 45 evaluable ones of late August, we would end up with 79 TR out of 100 patients.  So 79% CR.
 
- 100% out of the 55 pending patients turn TR, then we get 55 new TR.  Added to our 32, we get 87% CR for 100 patients
 
-   86% out of the 55 pending patients turn TR, then we get 47 new TR.  Added to our 32, we get 79% CR for 100 patients
 
-   71% out of the 55 pending patients turn TR, then we get 39 new TR.  Added to our 32, we get 71% CR for 100 patients
 
-   57% out of the 55 pending patients turn TR, then we get 31 new TR.  Added to our 32, we get 63% CR for 100 patients


So lets see next week how these 7 pending ones turned out to be, as it could help us make some extrapolations.

But unless we have unexpected instability, I would say that our clinical trial, once completed (2025), could show a CR % (@90 days) of around 70%+.  Given that we had 12 undertreated patients, right from the start of our Ph. 2, that would be impressive.  And even 70%+ for only the optimized group, that would still be unheard of.
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