Preclinical InVivo Data Integrated in a Modeling Network Informs a Refined Clinical Strategy for a CD3 T-Cell

Javier Sánchez1,2, Valeria Nicolini3, Linda Fahrni3

  • 1Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, 4070, Basel, Switzerland. javier.sanchez_fernandez@roche.com.

The AAPS Journal
|October 7, 2022
PubMed

Insights

Combining TYRP1-TCB with anti-PD-L1 significantly improves melanoma treatment outcomes. This combination therapy enhances overall response rate, duration of response, and progression-free survival compared to TYRP1-TCB alone.

Area of Science:

  • Immunology
  • Pharmacology
  • Oncology

Background:

  • TYRP1-TCB is a CD3 T-cell bispecific antibody investigated for advanced melanoma.
  • Understanding its efficacy in combination with anti-PD-L1 is crucial for clinical strategy.

Purpose of the Study:

  • To develop and translate a tumor growth inhibition (TGI) model for TYRP1-TCB in melanoma.
  • To predict the clinical efficacy of TYRP1-TCB monotherapy versus combination therapy with anti-PD-L1.

Main Methods:

  • A TGI model was built using mouse xenograft data for TYRP1-TCB monotherapy and combination therapy.
  • The model was translated to humans to simulate clinical outcomes.
  • Pharmacokinetic/pharmacodynamic (PK/PD) parameters, including EC50, were estimated.

Main Results:

  • The model estimated an EC50 of 0.345 mg/L for TYRP1-TCB in xenografts.
  • Combination therapy extended tumor regrowth time by 25% and reduced regrowth rate by 69% compared to monotherapy.
  • Human translation predicted that combination therapy could more than double ORR, DoR, and PFS versus monotherapy.

Conclusions:

  • Combination therapy with TYRP1-TCB and anti-PD-L1 demonstrates superior predicted clinical efficacy in advanced melanoma.
  • Early development of CD3-TCBs as combination therapy is recommended, without prior monotherapy dose escalation.
  • Clinical trial design should consider combination therapy from the outset for optimal patient benefit.

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