Longitudinal Monitoring of T cell Dynamics in Metastatic Breast Cancer via a Remote Diagnostic Implant

Ian A Schrack1, Rebecca S Pereles1, Brian C Ross1

  • 1Department of Biomedical Engineering, University of Michigan, Ann Arbor; MI, 48109, USA.

Immunomedicine
|August 29, 2025
PubMed

Insights

Regulatory T cells decrease in metastatic triple-negative breast cancer, while CD8+ T cells become more active. A synthetic niche helps monitor these T cell changes for better patient stratification.

Area of Science:

  • Oncology
  • Immunology
  • Biomaterials Science

Background:

  • Metastatic triple-negative breast cancer (mTNBC) presents significant therapeutic challenges.
  • Immunotherapies rely on T cell phenotypes, which change during disease progression.
  • Understanding T cell dynamics is crucial for developing effective treatments.

Purpose of the Study:

  • To investigate T cell phenotype and function dynamics in metastatic disease.
  • To compare T cell responses at the metastatic lung site and a synthetic niche (biomaterial implant).
  • To assess the utility of the scaffold as a platform for longitudinal monitoring.

Main Methods:

  • Longitudinal analysis of T cell phenotypes (Regulatory T cells, Th1, Th17, CD8+ T cells) in mice with mTNBC.
  • Comparison of T cell populations in lung metastasis, scaffold implant, and blood.
  • Functional assays to determine T cell suppressive mechanisms (activation, migration).

Main Results:

  • Regulatory T cells were reduced at both lung and scaffold sites post-metastasis.
  • CD8+ T cells shifted from naive/central memory to effector memory phenotypes.
  • Reduced T cell migration, not activation, was the primary suppressive mechanism identified.
  • Blood T cell dynamics partially reflected tissue changes but lacked functional correlation.

Conclusions:

  • The biomaterial scaffold mimics lung metastatic niches for T cell analysis.
  • Longitudinal monitoring via scaffold can reveal disease-related T cell dynamics.
  • This approach may aid in stratifying patient populations for immunotherapy.

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