Abstract 6549: Integrating functional biosignatures and same-cell spatial multiomics to predict synergistic benefit of combination checkpoint therapy in head and neck cancer

Abstract Effective immune checkpoint blockade (ICB) requires coordinated activation, spatial organization, and functional cross-talk among immune populations within the tumor microenvironment (TME). Farcast TruTumor™ platform preserves viable tumor, stromal, and immune compartments in their near-native architecture, aligning with the FDA’s New Approach Methodologies (NAM) framework for human-relevant cancer models. The model has shown that in head and neck squamous cell carcinoma (HNSCC) anti-PD-1 response is associated with cytotoxic T-cell (CTL) infiltration into tumor nests, and that moderate responders may be rescued by adding anti-CTLA-4, accompanied by increased spatial separation between CTLs and T regulatory (Treg) cells. Here, we integrate TruTumor’s functional characterization with the CosMx® Spatial Molecular Imager (SMI) using same-cell spatial multiomics (64-plex IO protein panel plus whole-transcriptome RNA) to elucidate the dynamics of improved efficacy with nivolumab (N) plus ipilimumab (I) leading to predictors of ICB responses with greater accuracy. Patient-derived HNSCC explants were cultured on the TruTumor histoculture platform and treated for 72 hours with N or N+I. Treatment effects were assessed using histopathology, cleaved caspase-3 IHC, multiparameter flow cytometry, and NanoString nCounter bulk transcriptomics. Spatial profiling was performed using the CosMx SMI same-cell multiomic assay, enabling subcellular quantification of immune checkpoints, activation and exhaustion markers, costimulatory molecules, and whole-transcriptome signatures within intact tissue architecture. Analyses included spatial clustering, cell-cell neighborhood modeling, immune-tumor interface mapping, and ligand-receptor interaction inference. CosMx multiomics revealed treatment-dependent remodeling of immune states and spatial niches not captured by bulk assays. N+I responders exhibited: (i) expansion potential of cytotoxic and proliferative CTLs; (ii) depletion or spatial exclusion of suppressive Tregs from tumor nests; (iii) enhanced antigen-presentation and IFN-γ-response programs in tumor and myeloid cells; and (iv) rewired immune checkpoint and costimulatory ligand-receptor networks at tumor-immune borders. Same-cell integration of protein and RNA markers defined discrete CTL activation and exhaustion trajectories and uncovered microenvironments uniquely sensitized to combination therapy. Combining functional response metrics with spatial features yielded a mechanism-driven biosignature predictive of treatment outcome. Integrating the TruTumor histoculture models with CosMx SMI same-cell spatial multiomics establishes a scalable, NAM-aligned translational platform that enables discovery of predictive biomarkers for next-generation immuno-oncology therapies. Citation Format: Yi Cui, Moumita Nath, Michael Emilio Patrick, Claire Williams, Daniel McGuire, Jobin K. Paul, Kowshik Jaganathan, Biswajit Das, Mohit Malhotra, Shanshan He, Joseph M. Beechem, Satish Sankaran. Integrating functional biosignatures and same-cell spatial multiomics to predict synergistic benefit of combination checkpoint therapy in head and neck cancer [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 6549.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-6549
Primary Topic
Single-cell and spatial transcriptomics
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article
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article

Abstract 6549: Integrating functional biosignatures and same-cell spatial multiomics to predict synergistic benefit of combination checkpoint therapy in head and neck cancer

Moumita Nath, Yi Cui, Satish Sankaran, Kowshik Jaganathan et al.
Cancer Research
Single-cell and spatial transcriptomics
article

Abstract 6549: Integrating functional biosignatures and same-cell spatial multiomics to predict synergistic benefit of combination checkpoint therapy in head and neck cancer

Moumita Nath, Yi Cui, Satish Sankaran, Kowshik Jaganathan, Shanshan He, Joseph Beechem, Daniel McGuire, Biswajit Das, Claire Williams, Michael Emilio Patrick, Mohit Malhotra
article en

Abstract

Abstract Effective immune checkpoint blockade (ICB) requires coordinated activation, spatial organization, and functional cross-talk among immune populations within the tumor microenvironment (TME). Farcast TruTumor™ platform preserves viable tumor, stromal, and immune compartments in their near-native architecture, aligning with the FDA’s New Approach Methodologies (NAM) framework for human-relevant cancer models. The model has shown that in head and neck squamous cell carcinoma (HNSCC) anti-PD-1 response is associated with cytotoxic T-cell (CTL) infiltration into tumor nests, and that moderate responders may be rescued by adding anti-CTLA-4, accompanied by increased spatial separation between CTLs and T regulatory (Treg) cells. Here, we integrate TruTumor’s functional characterization with the CosMx® Spatial Molecular Imager (SMI) using same-cell spatial multiomics (64-plex IO protein panel plus whole-transcriptome RNA) to elucidate the dynamics of improved efficacy with nivolumab (N) plus ipilimumab (I) leading to predictors of ICB responses with greater accuracy. Patient-derived HNSCC explants were cultured on the TruTumor histoculture platform and treated for 72 hours with N or N+I. Treatment effects were assessed using histopathology, cleaved caspase-3 IHC, multiparameter flow cytometry, and NanoString nCounter bulk transcriptomics. Spatial profiling was performed using the CosMx SMI same-cell multiomic assay, enabling subcellular quantification of immune checkpoints, activation and exhaustion markers, costimulatory molecules, and whole-transcriptome signatures within intact tissue architecture. Analyses included spatial clustering, cell-cell neighborhood modeling, immune-tumor interface mapping, and ligand-receptor interaction inference. CosMx multiomics revealed treatment-dependent remodeling of immune states and spatial niches not captured by bulk assays. N+I responders exhibited: (i) expansion potential of cytotoxic and proliferative CTLs; (ii) depletion or spatial exclusion of suppressive Tregs from tumor nests; (iii) enhanced antigen-presentation and IFN-γ-response programs in tumor and myeloid cells; and (iv) rewired immune checkpoint and costimulatory ligand-receptor networks at tumor-immune borders. Same-cell integration of protein and RNA markers defined discrete CTL activation and exhaustion trajectories and uncovered microenvironments uniquely sensitized to combination therapy. Combining functional response metrics with spatial features yielded a mechanism-driven biosignature predictive of treatment outcome. Integrating the TruTumor histoculture models with CosMx SMI same-cell spatial multiomics establishes a scalable, NAM-aligned translational platform that enables discovery of predictive biomarkers for next-generation immuno-oncology therapies. Citation Format: Yi Cui, Moumita Nath, Michael Emilio Patrick, Claire Williams, Daniel McGuire, Jobin K. Paul, Kowshik Jaganathan, Biswajit Das, Mohit Malhotra, Shanshan He, Joseph M. Beechem, Satish Sankaran. Integrating functional biosignatures and same-cell spatial multiomics to predict synergistic benefit of combination checkpoint therapy in head and neck cancer [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 6549.

Cancer ResearchVol. 86(7_Supplement)
Bruker (United States) (US), Anthem Biosciences (India) (IN)
Openalex Percentile: Top 22%
Single-cell and spatial transcriptomics
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