udayk
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India,
2019-10-04 14:06
(1636 d 23:54 ago)

Posting: # 20664
Views: 2,868
 

 Bicalutamide having Long Half Life [Design Issues]

Dear All,

We need clarification on study design of BE of Bicalutamide 50mg tablets since, its long half life is around 150 hours and most of the available literatures have shown as parallel BE study with last time point as 672 hours and two-way cross over study with last time point as 672 hours.

Please suggest on study design of BE/BA study with Time-points to cover the AUC.

Regards,
Udaya Kumar K.
Biostatistician
Helmut
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Vienna, Austria,
2019-10-07 16:59
(1633 d 21:01 ago)

@ udayk
Posting: # 20674
Views: 2,319
 

 Bicalutamide: Crossover not realistic

Hi Udaya,

❝ We need clarification on study design of BE of Bicalutamide 50mg tablets since, its long half life is around 150 hours and most of the available literatures have shown as parallel BE study with last time point as 672 hours and two-way cross over study with last time point as 672 hours.


I can only give what I found in my study: Parallel, 60 subjects (30 per arm), 2 dropouts. We aimed at very similar demographics, e.g., the median body weights differed only ½ kg between groups. ;-)
Sampling: Pre-dose, 1, 2, 4, 6, 8, 10, 12, 18, 24, 30, 36, 42, 48, 72, 168, 336, 504, and 672 hours. End of hospitalization 48 hours.
Bioanalytics: LC/MS-MS, LLOQ 10 ng/mL for R(–) bicalutamide and 5 ng/mL for S(+) bicalutamide. ULOQ 1 µg/mL R(–) and 100 ng/mL (S+).
R(–) was confirmatory and S(+) exploratory. The CVs were ~21% for AUC and ~10% for Cmax (yes, lower than AUC…). x̃ of tmax was 36 h for both treatments with some subjects having tmax at 72 h. Given such late tmax-values I don’t expect that regulators will accept pAUC0–72 as the primary metric of extent of absorption (instead of AUC0–t). I suggest to add ad least sampling at 96 h.

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udayk
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India,
2019-10-10 11:10
(1631 d 02:51 ago)

@ Helmut
Posting: # 20682
Views: 2,284
 

 Bicalutamide: Crossover not realistic

Hi Helmut,

Thank you so much for your inputs.

Regards,
Udaya Kumar K.
Biostatistician.
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