Evidence map›Paper›PMID 42100798›Full record

ArticleCancer research communications2026

TNBC Spatial Transcriptomic Analysis across Clinical States Reveals Subtype-Specific Networks and Immunosuppressive Niches.

Fengyuan Huang, Nitish Kunte, Himani Khurana, Clayton C Yates, Deepa Bedi

Abstract read
In one paragraph

Article in Cancer research communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

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5 · Who and what money

Authors and funding

5 authors.

Fengyuan HuangCenter for Biomedical Research, Tuskegee University, Tuskegee, Alabama.ORCID 0000-0002-6696-9290
Nitish KunteCenter for Biomedical Research, Tuskegee University, Tuskegee, Alabama.ORCID 0000-0002-6429-6125
Himani KhuranaCenter for Biomedical Research, Tuskegee University, Tuskegee, Alabama.ORCID 0000-0002-8097-6120
Clayton C YatesDepartment of Pathology and Oncology, John Hopkins University, Baltimore, Maryland.ORCID 0000-0001-5420-9852
Deepa BediCenter for Biomedical Research, Tuskegee University, Tuskegee, Alabama.ORCID 0000-0003-4403-2680

Funding

Tuskegee University Center for Biomedical Research/ Research Centers at Minority InstitutionsU54MD007585 · NIMHD · TUSKEGEE UNIVERSITY · PI Balasubramanyam Karanam · 2017 to 2026
$29.4M
Research Education CoreU54CA295336 · NCI · JOHNS HOPKINS UNIVERSITY · PI ROLAND J. THORPE · 2024 to 2026
$5.4M
The DARC side of Breast Cancer Disparities - African Ancestry and Cancer- Related Immune ResponseR01CA259396 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI DAVIS, MELISSA B, YATES, CLAYTON · 2021 to 2025
$2.4M
Carver Genomic Research Center (CGRC)-Building Next Generation Genomic Data Scientist in Rural AlabamaUG3HG013553 · NHGRI · TUSKEGEE UNIVERSITY · PI BEDI, DEEPA · 2024 to 2024
$822k
CANCER GRAND CHALLENGES 2024 SOCIETAL, ANCESTRY, MOLECULAR AND BIOLOGICAL ANALYSES OF INEQUALITIES (SAMBAI) Morehouse School of MedicineOT2CA297574 · NCI · MOREHOUSE SCHOOL OF MEDICINE · PI DAVIS, MELISSA B · 2024 to 2024
$614k
Breast Cancer Research Foundation of Alabama (BCRFA)National Human Genome Research Institute (NHGRI) 1UG3HG013553-01National Institutes of Health (NIH) 5U54MD007585-34NCI NIH HHS OT2 CA297574NCI NIH HHS R01 CA259396NCI NIH HHS U54 CA295336NHGRI NIH HHS UG3 HG013553NIMHD NIH HHS U54 MD007585
6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease composed of distinct molecular subtypes that influence prognosis and treatment response, with subtype discordance between primary and metastatic tumors contributing to therapeutic failure. Using GeoMx spatial transcriptomics, we profiled nonmetastatic primary tumors, metastatic primary tumors, and lymph node (LN) metastases to characterize transcriptional and immune-spatial changes during disease progression. Comparative analysis revealed strong tumor microenvironment reprogramming across clinical states. In stromal regions of metastatic tumors, we observed enrichment of extracellular matrix remodeling, tumor-associated macrophage activity, and epithelial-to-mesenchymal transition-related pathways. In epithelial compartments, nonmetastatic and LN tumors showed a secretory-proliferative program, whereas primary metastatic tumors were enriched for antigen presentation and interferon (IFN) signaling. Immune deconvolution demonstrated distinct immune landscapes, with nonmetastatic tumors enriched for innate immune cells, primary metastatic tumors showing increased T- and B-cell infiltration, and LN metastases exhibiting an immunosuppressive microenvironment dominated by M2-like macrophages and memory B cells (P < 0.05). Subtype analysis revealed frequent triple-negative breast cancer (TNBC) subtype switching during LN metastasis, with 70% of cases transitioning from nonbasal subtypes to unspecified or immunomodulatory subtypes, both associated with poorer prognosis (HR = 1.8; 95% CI, 1.2-2.9). Spatial immune profiling further identified "excluded" and "ignored" tumors lacking T-cell infiltration, whereas "inflamed" tumors retained active cytotoxic immune responses. Integrating molecular subtype, immune infiltration, and spatial architecture, we developed a novel framework termed immuno-spatial molecular subtypes (ISMS), which captures TNBC heterogeneity and immune-spatial plasticity across disease progression. SIGNIFICANCE: TNBC progression is poorly understood, particularly how tumor and immune ecosystems evolve. By applying spatial transcriptomics on tissues, we uncover that nonmetastatic tumors displayed metabolic programs and a more coordinated immune-proliferation balance. Metastatic primary showed stronger IFN and antigen-presentation programs, whereas LN metastases showed an immune-excluded niche. Our discovery that immune phenotypes diverge from canonical subtypes led to development of ISMS, a framework that captures TNBC plasticity more accurately than subtype alone.

Indexed as

Triple Negative Breast NeoplasmsTumor MicroenvironmentEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLymphatic MetastasisPrognosisSpatial TranscriptomicsTranscriptome

Identifiers

PMID42100798
PMCPMC13245550

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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.