Abstract 794: Spatial analysis of the DLBCL tumor microenvironment via the novel SignalStar® multiplex immunohistochemistry assay.

Abstract The complexity of the immune landscape in Diffuse Large B Cell Lymphoma (DLBCL) tumors underscores the necessity of understanding the interplay between T cell activation and immunosuppression within the tumor microenvironment (TME). Given the heterogeneity of these tumors and the importance of cellular interactions within the TME, there is a pressing need for advanced technologies capable of visualizing multiple biomarkers and cell phenotypes simultaneously. Multiplex immunohistochemistry (mIHC) offers an effective solution for this detailed spatial analysis. Here, we developed a 20-plex SignalStar multiplex immunohistochemistry (mIHC) panel aimed at profiling T cell activation and suppression states, as well as spatially characterizing tumor, myeloid, and vascular cells within the TME. The resulting images underwent processing using the Elucidate Bio Spatial Analysis pipeline. The images were co-registered and segmented based on DAPI staining and marker-specific classifiers were employed to label cells as either positive or negative for each respective stain. Expression intensities were subsequently normalized and clustered using the Leiden algorithm to assign predominant lineage phenotypes. Through graph-based community detection, higher-order cellular neighborhoods were identified. We also correlate the Signalstar spatial proteomics data to an orthogonal single cell RNA sequencing data. Our analysis revealed six distinct cell neighborhoods with unique spatial organization and cellular composition, consisting of those that were rich in either CD4+ T cells, CD8+ T cells, M2-like macrophages, dendritic cells, tumor cells with immune cell infiltration or tumor cells without immune cell infiltration. Substantial heterogeneity was observed with respect to the cell phenotypes and cell neighborhoods that were present, both inter- and intra- tumorally. While there were no statistically significant differences in the numbers of the various cell neighborhoods that were present, the overall number of M1-like macrophages was found to be significantly higher in complete responders vs. progressors. DLBCL tumors are composed of microenvironments filled with diverse cells of various types, all arranged into distinct neighborhoods. Our findings indicate that the SignalStar mIHC assay, when paired with the Elucidate Bio Spatial Analysis pipeline, serves as an effective means to explore the intricate composition and spatial layout of this complex tumor microenvironment. Citation Format: Jennifer Ziello, Jason Weirather, Derek Papalegis, Lily Vu, Gabriella Spang, Sizun Jiang, Giorgio Ga. Inghirami. Spatial analysis of the DLBCL tumor microenvironment via the novel SignalStar® multiplex immunohistochemistry assay [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 794.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-794
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 794: Spatial analysis of the DLBCL tumor microenvironment via the novel SignalStar® multiplex immunohistochemistry assay.

Jennifer Ziello, S. Brian Jiang, Jason L. Weirather, Gabriella Spang et al.
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 794: Spatial analysis of the DLBCL tumor microenvironment via the novel SignalStar® multiplex immunohistochemistry assay.

Jennifer Ziello, S. Brian Jiang, Jason L. Weirather, Gabriella Spang, Derek Papalegis, Lily Vu, Giorgio Ga. Inghirami
article en

Abstract

Abstract The complexity of the immune landscape in Diffuse Large B Cell Lymphoma (DLBCL) tumors underscores the necessity of understanding the interplay between T cell activation and immunosuppression within the tumor microenvironment (TME). Given the heterogeneity of these tumors and the importance of cellular interactions within the TME, there is a pressing need for advanced technologies capable of visualizing multiple biomarkers and cell phenotypes simultaneously. Multiplex immunohistochemistry (mIHC) offers an effective solution for this detailed spatial analysis. Here, we developed a 20-plex SignalStar multiplex immunohistochemistry (mIHC) panel aimed at profiling T cell activation and suppression states, as well as spatially characterizing tumor, myeloid, and vascular cells within the TME. The resulting images underwent processing using the Elucidate Bio Spatial Analysis pipeline. The images were co-registered and segmented based on DAPI staining and marker-specific classifiers were employed to label cells as either positive or negative for each respective stain. Expression intensities were subsequently normalized and clustered using the Leiden algorithm to assign predominant lineage phenotypes. Through graph-based community detection, higher-order cellular neighborhoods were identified. We also correlate the Signalstar spatial proteomics data to an orthogonal single cell RNA sequencing data. Our analysis revealed six distinct cell neighborhoods with unique spatial organization and cellular composition, consisting of those that were rich in either CD4+ T cells, CD8+ T cells, M2-like macrophages, dendritic cells, tumor cells with immune cell infiltration or tumor cells without immune cell infiltration. Substantial heterogeneity was observed with respect to the cell phenotypes and cell neighborhoods that were present, both inter- and intra- tumorally. While there were no statistically significant differences in the numbers of the various cell neighborhoods that were present, the overall number of M1-like macrophages was found to be significantly higher in complete responders vs. progressors. DLBCL tumors are composed of microenvironments filled with diverse cells of various types, all arranged into distinct neighborhoods. Our findings indicate that the SignalStar mIHC assay, when paired with the Elucidate Bio Spatial Analysis pipeline, serves as an effective means to explore the intricate composition and spatial layout of this complex tumor microenvironment. Citation Format: Jennifer Ziello, Jason Weirather, Derek Papalegis, Lily Vu, Gabriella Spang, Sizun Jiang, Giorgio Ga. Inghirami. Spatial analysis of the DLBCL tumor microenvironment via the novel SignalStar® multiplex immunohistochemistry assay [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 794.

Cancer ResearchVol. 86(7_Supplement)
Biogen (United States) (US), NewYork–Presbyterian Hospital (US), Harvard University (US), Cornell University (US), Presbyterian Hospital (US), Cell Signaling Technology (United States) (US)
Openalex Percentile: Top 9%
Single-cell and spatial transcriptomics
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.