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Quantitative Systems Pharmacology approaches for immuno‐oncology: adding virtual patients to the development paradigm

Drug development in oncology commonly exploits the tools of molecular biology to gain therapeutic benefit through reprograming of cellular responses. In immuno‐oncology (IO) the aim is to direct the patient’s own immune system to fight cancer. After remarkable successes of antibodies targeting PD1/PD‐L1 and CTLA4 receptors in targeted patient populations, the focus of further development … Continued

Mechanistic quantitative pharmacology strategies for the early clinical development of bispecific antibodies in oncology

Bispecific antibodies (bsAbs) have become an integral component of the therapeutic research strategy to treat cancer. In addition to clinically validated immune cell re‐targeting, bsAbs are being designed for tumor targeting and as dual immune modulators. Explorative preclinical and emerging clinical data indicate potential for enhanced efficacy and reduced systemic toxicity. However, bsAbs are a … Continued

Optimize Immuno-oncology Drug Discovery and Development Using QSP

A Quantitative Systems Pharmacology (QSP) approach for developing combination immune-oncology therapies can be used to better predict effective drug combinations, especially to more accurately correlate the physiological differences between preclinical models and human patients.

腫瘍薬開発と患者アクセスの枠組みを変革する

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