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April 5, 2026Cancer Research0 citations

Abstract 4990: Single-cell mass cytometry reveals T-cell exhaustion in sentinel nodes of ER+ breast cancer without histological detectable metastases

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IRInga Hansine RyeMFMarit Otterlei FjørtoftKLKarin Teien Lande

Key Points

  • To explore the immune landscape in sentinel and axillary lymph nodes of breast cancer and assess T-cell exhaustion.
  • Analyzed lymph nodes from 458 treatment-naïve patients with operable breast cancer.
  • Utilized mass cytometry with a 48-antibody panel for comprehensive immunophenotyping.
  • Processed data through FlowSOM clustering to identify cell populations.
  • ALN+ disease patients had a shorter time to distant metastasis than those with SN+ or SN- nodes.
  • ALN+ samples showed higher levels of exhausted T cells than SN- samples.
  • Half of the ER+ SN- samples exhibited T-cell exhaustion, with tumor cells detectable by CyTOF but missed by pathology.

Abstract

Abstract Introduction: Tumor cell infiltration in regional lymph nodes is a strong prognostic marker and guides treatment decisions in breast cancer. While the immune landscape of primary tumors has been widely studied, the composition of immune cells in sentinel (SN) and axillary lymph nodes (ALN) remains less understood. Clarifying how tumor cells shape the nodal immune microenvironment may provide insights into metastasis, cancer progression, and potential therapeutic strategies. Materials and methods: We analysed tumor draininglymph nodes from a prospective cohort of 458 treatment-naïve patients with primary operable breast cancer, representing all breast cancer subtypes. Lymph node status included negative nodes (n=357), sentinel node-positive (SN+, n=88), and axillary lymph node-positive (ALN+, n=13). Comprehensive immunophenotyping was performed by mass cytometry (CyTOF) using a 48-antibody panel. The panel included lineage markers, cell type-defining markers, and markers of activation and exhaustion.Data were processed using semi-automated FlowSOM clustering with manual clean-up to remove dead cells, doublets, and technical noise. This enabled identification of immune, tumor, apoptotic, and unclassified cell populations.After quality control, 468 lymph nodes comprising more than 45 million single cells were included in the final analysis. Results: Patients with ALN+ disease had shorter time to distant metastasis than those with SN+ or SN- nodes. Compared with SN- samples, ALN+ samples showed enrichment of exhausted T cells as well as germinal center B (GC B) cells and plasma cells, both in the full cohort and within the estrogen receptor-positive (ER+) subgroup. No immune composition differences were observed across breast cancer subtypes in SN- samples. SN+ samples from triple-negative breast cancer (TNBC) demonstrated a trend toward increased GC B and plasma cells, resembling the immune profile of ALN+ nodes, suggesting that even small SN metastases can trigger early immune activation. In SN- samples from half of the ER+ patients, a subset displayed pronounced T-cell exhaustion. These nodes were enriched for cases that appeared negative by routine pathology but contained tumor cells detectable by CyTOF. Conclusion: SN and ALN immune profiles in breast cancer are highly heterogeneous and show limited correlation with subtype, clinical variables, or outcome. Metastatic tumor cells promote T-cell exhaustion and immunosuppression, detectable in nearly half of ER+ cases. Importantly, T-cell exhaustion coincided with CyTOF-detected tumor cells that were missed by conventional pathology, indicating that even small tumor deposits can reshape the immune landscape. These findings highlight the potential of immune profiling to uncover occult tumor involvement in lymph nodes. Citation Format: Inga Hansine Rye, Marit Otterlei FJørtoft, Karin Teien Lande, Margit Riis, Ole Christian lingjærde, Øystein Garred, Colin LaMont, June Myklebust, Kanutte Huse, Hege Russnes. Single-cell mass cytometry reveals T-cell exhaustion in sentinel nodes of ER+ breast cancer without histological detectable metastases abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4990.

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Rye et al. (2026) studied this question.

synapsesocial.com/papers/69d1fc70a79560c99a0a2172https://doi.org/10.1158/1538-7445.am2026-4990
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Abstract PS03-01: Single cell analysis of paired lymph nodes and primary tumors in breast cancer patients2024
  2. 2Abstract 4248: Characterization of T-cells in ER+ breast tumors and their matching adjacent tissue reveals that classical exhaustion markers are not indicative of T-cell function2026
  3. 3Abstract PS3-06-05: A Single-Cell Atlas of the Breast Cancer Microenvironment Reveals Subtype-Specific Immune States and Therapeutic Vulnerabilities2026
  4. 4Abstract PS3-12-24: Immune Landscape in Tumor Draining Lymph Nodes after Neoadjuvant Chemoimmunotherapy in Early Triple Negative Breast Cancer2026
  5. 5Sentinel Lymph Node Analysis in Patients With Breast Cancer Revealed Alterations in T Cells Subset2026