Evidence map›Paper›PMID 42687638›Full record

ArticleJournal of clinical pharmacology2026

Population pharmacokinetics for the CTLA-4 modulator gotistobart in patients with advanced solid tumors.

Tianhong Li, Jiahui Xue, Yang Liu, Jun Yang, Ido D Weiss, Hasan Abu Kharma, Juanjuan Su, Yuye Shen, Tairan Yang, Kumpal Madrasi and 3 more

Abstract read
In one paragraph

Article in Journal of clinical pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Tianhong Li *UC Davis Comprehensive Cancer Center, Sacramento, California, USA.ORCID https://orcid.org/0000-0001-7422-3520
Jiahui Xue *Wisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.ORCID https://orcid.org/0009-0007-2369-0779
Yang LiuOncoC4 Inc., Rockville, Maryland, USA.
Jun YangWisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou, China.
Ido D WeissOncoC4 Inc., Rockville, Maryland, USA.
Hasan Abu KharmaOncoC4 Inc., Rockville, Maryland, USA.
Juanjuan SuOncoC4 Inc., Rockville, Maryland, USA.
Yuye ShenAcroImmune, Nanjing, China.
Tairan YangBioNTech US Inc., Cambridge, Massachusetts, USA.
Kumpal MadrasiBioNTech US Inc., Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0002-1442-8919
Frank EnglerBioNTech US Inc., Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0002-0145-3488
Shuang LiangBioNTech US Inc., Cambridge, Massachusetts, USA.
Pan ZhengOncoC4 Inc., Rockville, Maryland, USA.

Funding

OncoC4 Inc.
6 · The paper itself

Abstract

Gotistobart is an investigational, next-generation, humanized IgG1 monoclonal antibody targeting cytotoxic T-lymphocyte antigen-4. It is engineered to preserve cytotoxic T-lymphocyte antigen-4 through endosomal recycling while enhancing intratumoral regulatory T-cell depletion. A population pharmacokinetic model was developed to characterize gotistobart pharmacokinetics and identify covariates contributing to inter-individual variability in patients with advanced solid tumors. Serum concentration-time data were obtained from 632 patients enrolled in three phase I-III clinical trials. In total, 3406 pharmacokinetic observations across a dose range from 0.1 to 10 mg/kg were collected. A two-compartment model with linear elimination best described the data, with inter-individual variability on clearance, central volume, and peripheral volume. Parameter estimates were precise, with typical values of 0.005 L/h for clearance, 0.021 L/h for inter-compartmental clearance, 2.59 L for central volume, and 3.43 L for peripheral volume. Covariates identified in the model included body weight and albumin on clearance and volumes, and sex on volumes, with limited clinically relevant impact. The model was evaluated using parameter precision, goodness-of-fit diagnostics, and prediction-corrected visual predictive checks. The model was used to simulate concentration-time profiles for clinically relevant dosing regimens. Simulations demonstrated the expected steady-state pharmacokinetic behavior, with dose-dependent increases in peak and trough concentrations. Compared with 6 mg/kg every 3 weeks, administration of two 10 mg/kg loading doses followed by 6 mg/kg every 3 weeks accelerated the attainment of steady state. The validated population pharmacokinetic model provides a quantitative foundation for subsequent exposure-response analyses and regimen selection.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic AgentsAntineoplastic Agents, ImmunologicalCTLA-4 AntigenModels, BiologicalNeoplasmsAdultAgedAged, 80 and overClinical Trials as TopicDose-Response Relationship, DrugFemaleHumansMaleMiddle AgedAntibodies, Monoclonal, HumanizedAntineoplastic AgentsAntineoplastic Agents, ImmunologicalCTLA-4 AntigenCTLA4 protein, humancytotoxic T‐lymphocyte antigen‐4gotistobartmonoclonal antibodiesoncologypharmacometricspopulation pharmacokinetics

Identifiers

PMID42687638
PMCPMC13539288

What OpenQuestion holds

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Registered trials

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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.