Spatial transcriptomics analysis to predict response to immune checkpoint blockade (ICB) in recurrent or metastatic head and neck squamous cell cancer (RM-HNSCC).
6045 Background: Spatial transcriptomics (ST) revealed conserved malignant leading edge (LE) and tumor core (TC) architectures in primary oral squamous cell carcinoma (OSCC) with potential for biomarker discovery. Spatial organization of tumor cells, as well as composition and prognostic significance of neighboring stromal cells in RM-HNSCC remain unknown. Methods: 21 tumor biopsy samples (14 baseline, 7 paired on-treatment) from 14 ICB-naive RM-HNSCC patients (pts) treated with pembrolizumab in INSPIRE (NCT02644369) were profiled using 10x Visium. Spatial organization was refined by scoring LE and TC gene sets identified in OSCC (Arora and Bose et al. Nat Comm 2023). Malignant (2,671 spots) and nonmalignant (8,177 spots) subclusters were annotated, with the latter classified into five cell subtypes using canonical markers: tumor-associated macrophages (TAMs) ( CD68 , CD14 , SCF1R ), regulatory stromal cells (reg) ( KRT17 , COL10A1 , SRBP1 ), plasma cells ( CD38 , IRF4 , PRDM1 ), T cells ( CD3D , CD3E , PTPRC ), and cancer-associated fibroblasts (CAFs) ( FAP , COL1A1 , PDGFRB ). Neighborhood analyses compared normalized counts of stromal cells adjacent to LE and TC, accounting for variations in cell density and sampling differences. A signature was built through k -means clustering of the five cell subtypes. Pts were stratified into high/low signature-score groups using the median cutoff and tested for association with progression-free survival (PFS). Results: Spatial organization revealed conserved malignant subclusters (C0 and C1) in 19/21 samples from 13 pts (11 non-responders). Top C0 genes were COL21A1 , S1PR3 , LIFR , and ZEB1 . Top C1 genes were KRT6B , KRT6C , KRTDAP , and LCN2 . Pathway analysis predicted activation of cell cycle and glycoprotein 6 in C0, and keratinization and neutrophil degranulation in C1. Comparative expression of OSCC-related gene sets revealed LE correlation with C0, and TC correlation with C1 (both p < 0.0001); stronger overlap was seen with the latter highlighting TC as a more conserved feature in HNSCC. Among non-responders, dominant communication patterns in LE and TC included claudins, cadherins, WNT, and IL-6, linked to cell adhesion, migration/invasion, and immune evasion. Signature generated by neighborhood analysis was enriched in TAMs and T cells, depleted in CAFs and reg near LE and TC, while plasma cells were depleted near LE but enriched near TC. Pts with high signature scores (6/13) exhibited improved PFS compared to low scores (7/13), median PFS 6.0 months [95% CI, 2.3-NA] versus 1.9 months [95% CI, 1.8-NA] (p = 0.059). Conclusions: To our knowledge, this is the first report using ST analysis to characterize LE and TC architectures in RM-HNSCC, along with heterogeneous neighboring stromal cells with prognostic potential for ICB. Ongoing cohort expansion will elucidate the clinical significance of these findings.
Authors
- Lillian L. Siu (ORCID: https://orcid.org/0000-0002-3500-0540)
- Jinsu An (ORCID: https://orcid.org/0000-0001-6518-7046)
- Aaron R. Hansen (ORCID: https://orcid.org/0000-0002-2363-8707)
- Helen Chow (ORCID: https://orcid.org/0000-0002-1387-4693)
- Pinaki Bose (ORCID: https://orcid.org/0000-0002-8338-2838)
- Grégoire Marret (ORCID: https://orcid.org/0000-0003-4525-7777)
- Azin Sayad
- Scott Victor Bratman (ORCID: https://orcid.org/0000-0001-8610-4908)
- Laura R. Penny (ORCID: https://orcid.org/0000-0002-9109-5951)
- Anna Spreafico (ORCID: https://orcid.org/0000-0002-3034-3042)
- Ben Wang (ORCID: https://orcid.org/0000-0002-4134-1835)
- Enrique Sanz Garcia
Institutions
- University Health Network (CA)
- University of Calgary (CA)
- University of Toronto (CA)
- Princess Alexandra Hospital (AU)
- Princess Margaret Cancer Centre (CA)
Publication Details
- Journal
- Journal of Clinical Oncology
- Published
- 2025-05-28
- DOI
- https://doi.org/10.1200/jco.2025.43.16_suppl.6045
- Primary Topic
- Lung Cancer Treatments and Mutations
- Type
- article
- Field-Weighted Citation Impact
- 0.00