Evidence map›Paper›PMID 40631902›Full record

ArticleJournal of the Royal Society, Interface2025

Distinct evolutionary patterns of tumour-immune escape and elimination determined by extracellular matrix architectures.

Yijia Fan, Jason T George

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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

2 authors.

Yijia FanDepartment of Biomedical Engineering, Texas A&M University College Station, TX, USA.
Jason T GeorgeDepartment of Biomedical Engineering, Texas A&M University College Station, TX, USA.ORCID 0000-0002-8248-2888

Funding

Quantifying phenotypic adaptation of biological systems in dynamic environmentsR35GM155458 · NIGMS · TEXAS ENGINEERING EXPERIMENT STATION · PI Jason George · 2024 to 2026
$1.1M
Cancer Prevention and Research Institute of TexasNational Institute of General Medical Sciences of the NIHNIGMS NIH HHS R35 GM155458
6 · The paper itself

Abstract

Cancer progression remains a significant clinical challenge. Phenotypic adaptation by tumour cells results in disease heterogeneity, which drives treatment resistance and immune escape. T-cell immunotherapy, while effective at treating some cancer subtypes, can also fail due to limits on tumour immunogenicity or T-cell recognition. For example, one potential contributor to immune escape involves the density and alignment of the extracellular matrix (ECM) surrounding tumours, also known as tumour-associated collagen signature (TACS). However, the specific mechanisms by which aligned fibres contribute to decreased patient survival rates have not yet been decoupled. Here, we developed EVO-ACT (EVOlutionary agent-based cancer T-cell interaction), a two-dimensional agent-based modelling framework designed to investigate how different TACS architectures impact tumour evolution and dynamic interactions with CD8[Formula: see text] T cells. Our results highlight that TACS-driven modulation of T-cell dynamics, combined with phenotypic adaptation, such as epithelial-to-mesenchymal transition, underlies differences in tumour immunogenicity and the application of our model can successfully recapitulate clinically observed breast cancer survival trends.

Indexed as

Breast NeoplasmsCD8-Positive T-LymphocytesExtracellular MatrixModels, BiologicalModels, ImmunologicalNeoplasmsTumor EscapeCollagenEpithelial-Mesenchymal TransitionFemaleHumansCollagenepithelial‑to‑mesenchymal transitionextracellular matrixtumour evolutiontumour–T-cell interaction

Identifiers

PMID40631902
PMCPMC12312568

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.