ArticleCPT: pharmacometrics & systems pharmacology2026
Integrative QSP Modeling of Cancer Stem Cells in Triple-Negative Breast Cancer: Impacts on Tumor Immunity and Response to Immune Checkpoint Inhibitors.
Article in CPT: pharmacometrics & systems 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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Cancer stem cells (CSCs) contribute to an immunosuppressive microenvironment through complex mechanisms and tumor-immune interactions. However, the key determinants of CSC characteristics in driving tumor progression, immune suppression, and response to ICIs remain unclear and require systematic investigation. This study developed a quantitative systems pharmacology (QSP) model covering various CSC properties, thereby capturing the temporal dynamics and CSC-immune interactions in triple-negative breast cancer (TNBC). Using the unified longitudinal dataset of tumor growth, CSC frequency, and immune cell dynamics that we obtained from BALB/c mice bearing wild-type or Cd274-knockout 4T1 cells under various inoculation conditions, which provides multi-dimensional insights into CSC-related biology, the QSP model was calibrated and validated. Simulations and sensitivity analysis indicated that TNBC tumors with strong stemness exhibited significantly accelerated tumor growth and reduced infiltration of cytotoxic immune cells such as cytotoxic T lymphocytes (CTLs) and natural killer (NK) cells. These were associated with CSCs' enhanced self-renewal capacity, stemness maintenance, secretion of transforming growth factor beta (TGF-β) and vascular endothelial growth factor (VEGF), and PD-1/PD-L1-mediated immunosuppression. ICIs showed minimal efficacy in tumors with enhanced stemness, which was also linked to the aforementioned characteristics. Both the administration sequence and initiation timing of ICIs differentially influenced the therapeutic outcomes. These findings elucidate the roles of CSCs in TNBC progression, tumor immunity, and ICI efficacy while identifying the key underlying CSC characteristics, suggesting the potential value of assessing CSC biomarkers or abundance before ICI treatment and support the development of ICIs and anti-CSC combination therapies.
Indexed as
Identifiers
What OpenQuestion holds
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.