ArticleClinical pharmacology in drug development2025
Population Pharmacokinetic Modeling of Certepetide in Human Subjects With Metastatic Pancreatic Ductal Adenocarcinoma.
Article in Clinical pharmacology in drug development, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- Advancing Cancer-Targeted Nanotherapies with Tumor Homing Peptides.ACS pharmacology & translational science · 2025Review
- Updates in the diagnosis and management of ductal adenocarcinoma of the pancreas.World journal of clinical oncology · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Certepetide (aka LSTA1 and CEND-1) is a novel cyclic tumor-targeting internalizing arginyl glycylaspartic acid peptide being developed to treat solid tumors. Certepetide is designed to overcome existing challenges in treating solid tumors by delivering co-administered anticancer drugs into the tumor while selectively depleting immunosuppressive T cells, enhancing cytotoxic T cells in the tumor microenvironment, and inhibiting the metastatic cascade. A population pharmacokinetic (PK) analysis was conducted to characterize the concentration-time profile of patients with metastatic exocrine pancreatic cancer receiving certepetide in combination with nab-paclitaxel and gemcitabine, and to investigate the effects of clinically relevant covariates on PK parameters. The PK of certepetide was characterized by a 2-compartment model with linear elimination and a proportional residual error structure. Body weight and baseline creatinine clearance (CrCL) were found to have statistically significant effects on central and peripheral volume (Vc and Vp) and clearance (CL) parameters, respectively, during model development and were included as covariate effects in the final PK model. Forest plots demonstrated a potentially clinically meaningful impact of high body weight (100 kg) on certepetide exposure (steady-state maximum concentration [C
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Registered trials
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