ReviewClinical pharmacology and therapeutics2020
Mechanistic Quantitative Pharmacology Strategies for the Early Clinical Development of Bispecific Antibodies in Oncology.
Review in Clinical pharmacology and therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.
- Bispecific Antibodies: From Research to Clinical Application.Frontiers in immunology · 2021Pooled it
- Dose Selection for DuoBody®-CD40x4-1BB (GEN1042/BNT312) Using a mPBPK/RO Model Leveraging Preclinical and Clinical Data.Clinical pharmacology and therapeutics · 2025Trial
- Fully human anti-FOLR1 T-cell engager demonstrates potent activity in CBFA2T3::GLIS2 acute megakaryoblastic leukemia.Blood neoplasia · 2026Article
- An In Vitro Quantitative Systems Pharmacology Platform for Characterizing CD3-Bispecific Antibody-Mediated T-Cell Activation and Tumor Cell Cytotoxicity.The AAPS journal · 2026Article
- Enhancement of CD117-Targeted Bispecific T-cell Engagement by CD33-Targeted Bispecific T-cell Costimulation in Acute Myeloid Leukemia.Cancer research communications · 2026Article
- Bispecific and multispecific immune engagers for redirecting innate and adaptive immunity against hematologic cancers.Discover oncology · 2026Review
- Quantitative systems toxicology: modelling to mechanistically understand and predict drug safety.Nature reviews. Drug discovery · 2026Review
- A Generalized Minimal PBPK-PD Model of Bispecific Antibodies: Case Studies and Applications in Drug Development.CPT: pharmacometrics & systems pharmacology · 2026Article
- Clinical Development of T-Cell Bispecific Antibodies: Review, Challenges, and Prospective Solutions in Solid Tumor.Methods in molecular biology (Clifton, N.J.) · 2026Review
- Foundational Principles for the Quantitative Translation of T-Cell Therapeutics for Hematologic Malignancies and Immunology.Clinical pharmacology and therapeutics · 2026Review
- A comprehensive kinetic model for ternary complex catalysis.Scientific reports · 2025Article
- Leveraging quantitative systems pharmacology modeling for elranatamab regimen optimization in relapsed or refractory multiple myeloma.NPJ systems biology and applications · 2025Article
- NI-3201 Is a Bispecific Antibody Mediating PD-L1-Dependent CD28 Co-stimulation on T Cells for Enhanced Tumor Control.Cancer immunology research · 2025Article
- Bispecific antibodies in the treatment of epithelial ovarian, endometrial, and cervical cancer: an overview of current applications, challenges, and emerging opportunities.Exploration of targeted anti-tumor therapy · 2025Review
- Tumor-restricted activation of Vγ9Vδ2 T cells via bispecific Evobodies: a novel strategy for safe and potent immunotherapy in ovarian cancer.Frontiers in immunology · 2025Article
- General quasi-equilibrium multivalent binding model to study diverse and complex drug-receptor interactions of biologics.Journal of pharmacokinetics and pharmacodynamics · 2024Article
- Advancing cancer drug development with mechanistic mathematical modeling: bridging the gap between theory and practice.Journal of pharmacokinetics and pharmacodynamics · 2024Review
- Article
- Therapeutic antibodies in oncology: an immunopharmacological overview.Cancer immunology, immunotherapy : CII · 2024Review
- ISB 2001 trispecific T cell engager shows strong tumor cytotoxicity and overcomes immune escape mechanisms of multiple myeloma cells.Nature cancer · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 complex modality with challenges to overcome in early clinical trials, including selection of relevant starting doses using a minimal anticipated biological effect level approach, and predicting efficacious dose despite nonintuitive dose response relationships. Multiple factors can contribute to variability in the clinic, including differences in functional affinity due to avidity, receptor expression, effector to target cell ratio, and presence of soluble target. Mechanistic modeling approaches are a powerful integrative tool to understand the complexities and aid in clinical translation, trial design, and prediction of regimens and strategies to reduce dose limiting toxicities of bsAbs. In this tutorial, the use of mechanistic modeling to impact decision making for bsAbs is presented and illustrated using case study examples.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.