Immune and tumor-intrinsic signatures are associated with resistance and response to PD-1 blockade in cutaneous squamous cell carcinoma

Abstract Background Anti-PD-1 therapy has significantly improved clinical outcomes in patients with advanced cutaneous squamous cell carcinoma (cSCC); however, approximately half of patients fail to respond. This study aimed to investigate molecular mechanisms underlying therapeutic resistance and to identify predictive biomarkers. Methods Whole transcriptome profiling was performed using HTG EdgeSeq technology on pre-treatment cSCC samples. Clinical data and treatment outcomes were correlated with gene expression profiles, and differentially expressed genes (DEGs) were analyzed in relation to response. Moreover, promising targets were further analyzed at the protein level via immunofluorescence and immunohistochemistry. Results Tumors from patients achieving disease control showed a distinct immune-active transcriptional profile characterized by interferon-associated signaling, enhanced antigen presentation pathways, and cytotoxic immune activity. Consistently, IFN-γ and cytolytic activity signatures were higher in patients with favorable clinical outcomes. CIBERSORTx-based deconvolution demonstrated marked interpatient heterogeneity, with T cells, macrophages, and NK cells representing major components of the immune infiltrate, but no major differences in overall immune cell composition between patients with early and late/no progression. Histopathological assessment revealed a tendency toward higher immune cell infiltration in patients achieving disease control. Notably, elevated gene expression of SLC7A5 and SOX2 was associated with poor response and early progression. Also, at protein level, higher SLC7A5 expression was associated with early progression, whereas SOX2 showed a more heterogeneous pattern, with particularly high expression in a subset of progressive tumors. Conclusion Our data provide hypothesis-generating evidence that a combination of immune-related and tumor-intrinsic novel molecular markers is associated with response to anti-PD-1 therapy in advanced cSCC, thereby identifying promising candidate biomarkers, which require validation in larger independent cohorts.

Authors

Institutions

Publication Details

Journal
Cancer Immunology Immunotherapy
Published
2026-10-30
DOI
https://doi.org/10.1007/s00262-026-04610-w
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Immune and tumor-intrinsic signatures are associated with resistance and response to PD-1 blockade in cutaneous squamous cell carcinoma

Ralf Gutzmer, Vivien Schacht, Katrin Schaper‐Gerhardt, Viola K. DeTemple et al.
5 links
Cancer Immunology Immunotherapy
Cancer Immunotherapy and Biomarkers
article

Immune and tumor-intrinsic signatures are associated with resistance and response to PD-1 blockade in cutaneous squamous cell carcinoma

Ralf Gutzmer, Vivien Schacht, Katrin Schaper‐Gerhardt, Viola K. DeTemple, Peter Mohr, Thilo Gambichler, Sabine Bredemeier, Michael Sachse, Maximilian Beikirch, Alina C. Ulama, Moritz Bergmann
article en

Abstract

Abstract Background Anti-PD-1 therapy has significantly improved clinical outcomes in patients with advanced cutaneous squamous cell carcinoma (cSCC); however, approximately half of patients fail to respond. This study aimed to investigate molecular mechanisms underlying therapeutic resistance and to identify predictive biomarkers. Methods Whole transcriptome profiling was performed using HTG EdgeSeq technology on pre-treatment cSCC samples. Clinical data and treatment outcomes were correlated with gene expression profiles, and differentially expressed genes (DEGs) were analyzed in relation to response. Moreover, promising targets were further analyzed at the protein level via immunofluorescence and immunohistochemistry. Results Tumors from patients achieving disease control showed a distinct immune-active transcriptional profile characterized by interferon-associated signaling, enhanced antigen presentation pathways, and cytotoxic immune activity. Consistently, IFN-γ and cytolytic activity signatures were higher in patients with favorable clinical outcomes. CIBERSORTx-based deconvolution demonstrated marked interpatient heterogeneity, with T cells, macrophages, and NK cells representing major components of the immune infiltrate, but no major differences in overall immune cell composition between patients with early and late/no progression. Histopathological assessment revealed a tendency toward higher immune cell infiltration in patients achieving disease control. Notably, elevated gene expression of SLC7A5 and SOX2 was associated with poor response and early progression. Also, at protein level, higher SLC7A5 expression was associated with early progression, whereas SOX2 showed a more heterogeneous pattern, with particularly high expression in a subset of progressive tumors. Conclusion Our data provide hypothesis-generating evidence that a combination of immune-related and tumor-intrinsic novel molecular markers is associated with response to anti-PD-1 therapy in advanced cSCC, thereby identifying promising candidate biomarkers, which require validation in larger independent cohorts.

Cancer Immunology ImmunotherapyVol. 75(11)
Witten/Herdecke University (DE), Medizinische Hochschule Hannover (DE), Klinikum Dortmund (DE), Elbe Kliniken Stade-Buxtehude (DE), St. Josef-Hospital (DE), Klinikum Bremerhaven-Reinkenheide (DE), Johannes Wesling Klinikum Minden (DE), Ruhr University Bochum (DE)
Ruhr-Universität Bochum
Good health and well-being
Openalex Percentile: Top 16%
Cancer Immunotherapy and Biomarkers
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.

Laika access coming soon