Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 11 min ago
PreprintCC BY-NC-NDbioRxiv

Spatial context of cellular heterogeneity in triple-negative breast cancer reveals actionable subtypes

3 more authors
  1. 1UC San Diego

Abstract

Triple-negative breast cancer (TNBC) is an aggressive, heterogeneous disease with limited targeted treatment options. Leveraging bulk and spatial transcriptomics and cellular mapping of breast tissue from a large patient cohort, we identified three reproducible TNBC ecosystem subtypes that encode distinct spatial tumor-microenvironment architectures and clinically relevant treatment-response phenotype. Our analyses define: (1) an immune-exhausted subtype associated with immune checkpoint therapy (ICT); (2) a highly fibrotic/hypoxic subtype; and (3) a metabolically reprogrammed subtype characterized by nuclear-receptor and fatty-acid signaling. Spatial profiling further revealed subtype-specific organization of epithelial, immune, and stromal programs across tumor centers and invasive edges. Multiplexed imaging independently supported the contrasting immune-infiltrated and stromal-excluded architectures of the immune-engaged and fibrotic subtypes. The unique markers associated with the subtypes also provide the basis for subtyping and candidate therapeutic vulnerabilities. Our study provides a robust framework for personalized medicine, highlighting that targeting specific spatio-cellular architectures is critical to improving clinical outcomes.

Related

  1. Spatial transcriptomics reveals site-specific cellular and metabolic heterogeneity in bladder carcinoma in situ
    T. Myers, A. Salmasi, M. F. Meagher +10
    bioRxivPreprintCC BY-NCFull textOncologybioRxiv
  2. Single‑cell and spatial transcriptomics in chronic lung disease: cellular heterogeneity and molecular mechanisms in IPF and COPD.
    Xiaolan Huang, Fangfang Qu, Qun Luo +1
    Respiratory researchPeer-reviewedCC BYFull textGeneral medicineEurope PMCDOAJ
  3. Tamoxifen and Doxorubicin Synergistically Target Estrogen Receptor beta-Mutant p53-p73 Axis, a Therapeutically Actionable Vulnerability in Triple Negative Breast Cancer
    Chetan C Oturkar, Junhoung Park J, Iqbal Ijaz +21
    bioRxivPreprintAll rights reservedFull textOncologybioRxivPMC
  4. Pancreatic acinar cell carcinoma demonstrates marked clinical heterogeneity and recurrent actionable genomic alterations
    Noor Farhoud, Raed Al-Rajabi, Joaquina Baranda +15
    Frontiers in Cell and Developmental BiologyPeer-reviewedCC BY 4.0Full textOncologyPMC
  5. Radiomics-based machine learning models decipher heterogeneity of anoikis-related molecular subtypes for prognostic stratification in head and neck squamous cell carcinoma
    Linyong Wu, Dayou Wei, Wubiao Chen +4
    Translational cancer researchPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
BibTeX
@misc{mesrizadeh2026spatial,
  title = {{Spatial context of cellular heterogeneity in triple-negative breast cancer reveals actionable subtypes}},
  author = {Z. Mesrizadeh and K. Mukund and L. Yang and R. K. Pillai and D. E. Frankhouser and D. Schmolze and S. L. Neuhausen and J. Zabaleta and L. D. Valle and J. Tomsic and Y. C. Ding and A. Ochoa and L. Miele and V. Seewaldt and S. Subramaniam},
  howpublished = {bioRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.10.758236},
  url = {https://www.biorxiv.org/content/10.64898/2026.10.10.758236v1},
  note = {CC BY-NC-ND},
}
RIS
TY  - UNPB
TI  - Spatial context of cellular heterogeneity in triple-negative breast cancer reveals actionable subtypes
AU  - Z. Mesrizadeh
AU  - K. Mukund
AU  - L. Yang
AU  - R. K. Pillai
AU  - D. E. Frankhouser
AU  - D. Schmolze
AU  - S. L. Neuhausen
AU  - J. Zabaleta
AU  - L. D. Valle
AU  - J. Tomsic
AU  - Y. C. Ding
AU  - A. Ochoa
AU  - L. Miele
AU  - V. Seewaldt
AU  - S. Subramaniam
PY  - 2026
DA  - 2026/10/10
PB  - bioRxiv
DO  - 10.64898/2026.10.10.758236
UR  - https://www.biorxiv.org/content/10.64898/2026.10.10.758236v1
AB  - Triple-negative breast cancer (TNBC) is an aggressive, heterogeneous disease with limited targeted treatment options. Leveraging bulk and spatial transcriptomics and cellular mapping of breast tissue from a large patient cohort, we identified three reproducible TNBC ecosystem subtypes that encode distinct spatial tumor-microenvironment architectures and clinically relevant treatment-response phenotype. Our analyses define: (1) an immune-exhausted subtype associated with immune checkpoint therapy (ICT); (2) a highly fibrotic/hypoxic subtype; and (3) a metabolically reprogrammed subtype characterized by nuclear-receptor and fatty-acid signaling. Spatial profiling further revealed subtype-specific organization of epithelial, immune, and stromal programs across tumor centers and invasive edges. Multiplexed imaging independently supported the contrasting immune-infiltrated and stromal-excluded architectures of the immune-engaged and fibrotic subtypes. The unique markers associated with the subtypes also provide the basis for subtyping and candidate therapeutic vulnerabilities. Our study provides a robust framework for personalized medicine, highlighting that targeting specific spatio-cellular architectures is critical to improving clinical outcomes.
ER  -