Abstract PS3-12-24: Immune Landscape in Tumor Draining Lymph Nodes after Neoadjuvant Chemoimmunotherapy in Early Triple Negative Breast Cancer

Abstract Background: The integration of immune checkpoint inhibitors (ICIs) with neoadjuvant chemotherapy has significantly improved clinical outcomes for patients with early triple-negative breast cancer (TNBC). However, approximately one-third of patients still fail to achieve a major pathological response, facing a substantially increased risk of recurrence and death. While immune correlates within the tumor microenvironment and peripheral blood have been extensively studied, the immunological dynamics within tumor-draining lymph nodes (TDLNs) - key sites for the initiation and coordination of anti-tumor immunity - remain poorly understood. Here we present our ongoing investigation into the immune architecture of TDLNs following chemoimmunotherapy to uncover predictive signatures of response and mechanisms of resistance. Methods: Sentinel lymph nodes from early TNBC patients undergoing neoadjuvant chemoimmunotherapy are analyzed using the PhenoCycler multiplex imaging platform, deploying a comprehensive 50-marker panel. This approach enables deep spatial and phenotypic profiling of adaptive immune response, including T-cell priming pathways. We quantify immune cell density, diversity, and spatial organization, with a focus on cellular neighborhood analysis. In addition, we employ an innovative tracking method to identify anti-PD1-bound cells, providing direct insights into the pharmacodynamic effects of PD-1 blockade within TLDNs. Results: To date, we have analyzed TDLNs from four stage II TNBC patients - two with complete pathologic response (pCR, residual cancer burden (RCB)=0) and two with residual disease (non-pCR, RCB=1). Preliminary results reveal a trend toward higher frequency of CD8+ (2.7% vs. 1.4% of CD45+ cells) and CD4+ T cells (19.9% vs. 8.5% of CD45+ cells) within the paracortical regions of pCR patients. Furthermore, the composition of CD8+ T cells differed, with increased proportions of precursor-exhausted (Tpex) (16.0% vs. 2.7% of CD8+ cells), and terminally exhausted (Tex) (10.2% vs. 1.1% of CD8+ cells) subsets observed in pCR cases. Ongoing analyses include mapping of key immune populations, such as plasmacytoid dendritic cells (pDC), conventional dendritic cells (cDC1 and cDC2), Th1, Th2, and T follicular helper (Tfh) cells, allowing us to compute cell-to-cell distances and generate individualized neighborhood profiles to identify spatial signatures associated with treatment response. Conclusion: Our high dimensionality spatially resolved analysis provides a powerful window into the immunological landscape of TDLNs in TNBC. By preserving tissue architecture and capturing cellular interactions, we aim to unravel how TDLNs contribute to effective anti-tumor immunity or harbor resistance in the context of chemoimmunotherapy. Preliminary findings suggest distinct immune patterns in patients achieving pCR vs. those with residual disease. A larger cohort, including comprehensive spatial and activation marker analysis, will be presented at the conference. Citation Format: A. Oseledchyk, P. Caloba, S. Uzun, K. Schaeuble, S. Münst, W. P. Weber, C. Kurzeder, M. Vetter, H. Läubli, M. Binder, A. Zippelius. Immune Landscape in Tumor Draining Lymph Nodes after Neoadjuvant Chemoimmunotherapy in Early Triple Negative Breast Cancer [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS3-12-24.

Authors

Institutions

Publication Details

Journal
Clinical Cancer Research
Published
2026-02-17
DOI
https://doi.org/10.1158/1557-3265.sabcs25-ps3-12-24
Primary Topic
Advanced Breast Cancer Therapies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract PS3-12-24: Immune Landscape in Tumor Draining Lymph Nodes after Neoadjuvant Chemoimmunotherapy in Early Triple Negative Breast Cancer

Anton Oseledchyk, Sarp Uzun, Karin Schaeuble, Simone Münst et al.
Clinical Cancer Research
Advanced Breast Cancer Therapies
article

Abstract PS3-12-24: Immune Landscape in Tumor Draining Lymph Nodes after Neoadjuvant Chemoimmunotherapy in Early Triple Negative Breast Cancer

Anton Oseledchyk, Sarp Uzun, Karin Schaeuble, Simone Münst, Philippe Caloba, M. Vetter, W. P. Weber, C. Kurzeder, A. Zippelius, H. Läubli, M. Binder
article en

Abstract

Abstract Background: The integration of immune checkpoint inhibitors (ICIs) with neoadjuvant chemotherapy has significantly improved clinical outcomes for patients with early triple-negative breast cancer (TNBC). However, approximately one-third of patients still fail to achieve a major pathological response, facing a substantially increased risk of recurrence and death. While immune correlates within the tumor microenvironment and peripheral blood have been extensively studied, the immunological dynamics within tumor-draining lymph nodes (TDLNs) - key sites for the initiation and coordination of anti-tumor immunity - remain poorly understood. Here we present our ongoing investigation into the immune architecture of TDLNs following chemoimmunotherapy to uncover predictive signatures of response and mechanisms of resistance. Methods: Sentinel lymph nodes from early TNBC patients undergoing neoadjuvant chemoimmunotherapy are analyzed using the PhenoCycler multiplex imaging platform, deploying a comprehensive 50-marker panel. This approach enables deep spatial and phenotypic profiling of adaptive immune response, including T-cell priming pathways. We quantify immune cell density, diversity, and spatial organization, with a focus on cellular neighborhood analysis. In addition, we employ an innovative tracking method to identify anti-PD1-bound cells, providing direct insights into the pharmacodynamic effects of PD-1 blockade within TLDNs. Results: To date, we have analyzed TDLNs from four stage II TNBC patients - two with complete pathologic response (pCR, residual cancer burden (RCB)=0) and two with residual disease (non-pCR, RCB=1). Preliminary results reveal a trend toward higher frequency of CD8+ (2.7% vs. 1.4% of CD45+ cells) and CD4+ T cells (19.9% vs. 8.5% of CD45+ cells) within the paracortical regions of pCR patients. Furthermore, the composition of CD8+ T cells differed, with increased proportions of precursor-exhausted (Tpex) (16.0% vs. 2.7% of CD8+ cells), and terminally exhausted (Tex) (10.2% vs. 1.1% of CD8+ cells) subsets observed in pCR cases. Ongoing analyses include mapping of key immune populations, such as plasmacytoid dendritic cells (pDC), conventional dendritic cells (cDC1 and cDC2), Th1, Th2, and T follicular helper (Tfh) cells, allowing us to compute cell-to-cell distances and generate individualized neighborhood profiles to identify spatial signatures associated with treatment response. Conclusion: Our high dimensionality spatially resolved analysis provides a powerful window into the immunological landscape of TDLNs in TNBC. By preserving tissue architecture and capturing cellular interactions, we aim to unravel how TDLNs contribute to effective anti-tumor immunity or harbor resistance in the context of chemoimmunotherapy. Preliminary findings suggest distinct immune patterns in patients achieving pCR vs. those with residual disease. A larger cohort, including comprehensive spatial and activation marker analysis, will be presented at the conference. Citation Format: A. Oseledchyk, P. Caloba, S. Uzun, K. Schaeuble, S. Münst, W. P. Weber, C. Kurzeder, M. Vetter, H. Läubli, M. Binder, A. Zippelius. Immune Landscape in Tumor Draining Lymph Nodes after Neoadjuvant Chemoimmunotherapy in Early Triple Negative Breast Cancer [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS3-12-24.

Clinical Cancer ResearchVol. 32(4_Supplement)
University Hospital of Basel (CH), Department of Biomedicine Basel (CH), Theological Seminary Bienenberg (CH)
Good health and well-being
Openalex Percentile: Top 54%
Advanced Breast Cancer Therapies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.