Evidence map›Paper›PMID 42872107›Full record

ArticleACS pharmacology & translational science2026

Quantitative Systems Pharmacology Model Predicts Enhanced Antitumor Efficacy of Combined Cytotoxic T‑Lymphocyte-Associated Protein 4 (CTLA-4) and Programmed Cell Death Protein 1 (PD-1) Blockade in a Syngeneic Mouse Model of Breast Cancer.

Yu Zhang, Hanwen Wang, Natsuki Furukawa, Akash Patil, Theinmozhi Arulraj, Aleksander S Popel

Abstract read
In one paragraph

Article in ACS pharmacology & translational science, 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

6 authors.

Yu ZhangDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, United States.ORCID https://orcid.org/0000-0003-3643-6589
Hanwen WangDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, United States.ORCID https://orcid.org/0000-0001-5480-431X
Natsuki FurukawaDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, United States.ORCID https://orcid.org/0000-0001-5771-917X
Akash PatilDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, United States.
Theinmozhi ArulrajDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, United States.ORCID https://orcid.org/0000-0002-7258-7512
Aleksander S PopelDepartment of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, United States.

Funding

Predictive experiment-based multiscale models of the tumor immune microenvironment and immunotherapy in breast cancerR01CA138264 · NCI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2009 to 2023
$8.1M
Multiscale Image-based Modeling of Antiangiogenic Resistance in Breast CancerR01CA196701 · NCI · JOHNS HOPKINS UNIVERSITY · PI Arvind P Pathak · 2015 to 2026
$3.6M
NCI NIH HHS R01 CA138264NCI NIH HHS R01 CA196701
6 · The paper itself

Abstract

Immune-checkpoint inhibitors targeting PD-1 and CTLA-4 have transformed cancer therapy, yet most patients still fail to respond, and the reasons remain incompletely understood. To dissect this heterogeneity and support translational development, we built a preclinical quantitative systems pharmacology model of α-PD-1, α-CTLA-4, and their combination in syngeneic mouse models, calibrating it jointly against vehicle, monotherapy, and combination tumor growth data. The calibrated model captures all four treatment arms across the measured time course and supports a mechanistic explanation for the observed tumor-growth inhibition based on two distinct mechanisms: α-PD-1 lifts the PD-1/PD-L1 brake on tumor-infiltrating effector T cells, while α-CTLA-4 depletes regulatory T cells, in the tumor and in the periphery, through Fc-dependent antibody-dependent cellular cytotoxicity, a mode of action specific to the syngeneic mouse setting and distinct from the clinical mechanism of ipilimumab. Because the two pathways engage different cell populations, the combination produces antitumor activity beyond what either drug achieves alone, with synergy analysis indicating approximately 4-fold reciprocal potency synergy. A virtual cohort of 500 mice reproduces this effect, expands the fraction of strong responders under combination therapy, and identifies the balance between IL-2-driven CD4

Indexed as

cancer immunotherapyCTLA-4immune checkpoint inhibitorPD-1QSP modelingsyngeneic mouse modeltriple negative breast cancer

Identifiers

PMID42872107
PMCPMC13659836

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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.