ArticleFrontiers in immunology2026
Single-cell transcriptomic analysis of cutaneous squamous cell carcinoma identifies an NR1H3-associated angiogenic macrophage state.
Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Cutaneous squamous cell carcinoma (cSCC) is a common keratinocyte-derived malignancy whose progression is strongly influenced by the tumor microenvironment. Although recent studies have begun to describe cellular diversity in squamous cell carcinomas, the regulatory architecture coordinating epithelial, immune, and stromal interactions in cSCC remains incompletely understood. Methods: We performed single-cell RNA sequencing on matched tumor tissues, adjacent normal skin, and peripheral blood from patients with cSCC to construct an integrated cellular landscape of the tumor ecosystem. Lineage trajectory analysis, transcription factor activity inference, and ligand-receptor modeling were used to characterize cellular differentiation, regulatory programs, and intercellular communication within the cSCC microenvironment. Results: Analysis of 80,736 single cells revealed extensive heterogeneity across epithelial, immune, and stromal compartments. Trajectory analysis of the myeloid lineage suggested a tumor-associated differentiation continuum extending from circulating monocytes toward a specialized angiogenic macrophage state characterized by transcriptional programs associated with extracellular matrix remodeling and immunoregulatory signaling. Concurrently, malignant keratinocyte populations displayed inferred copy-number alterations and activation of invasive transcriptional programs, accompanied by the emergence of distinct cancer-associated fibroblast subsets associated with stromal remodeling. Ligand-receptor modeling further identified extensive predicted communication networks linking macrophages, fibroblasts, and malignant epithelial cells within the tumor niche. Furthermore, transcription factor activity inference highlighted the nuclear receptor Discussion: These findings define the cellular organization and molecular programs that shape the cSCC microenvironment and provide insights into the coordinated immune, stromal, and epithelial interactions involved in cSCC progression.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.