ArticleCell2020
Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma.
Article in Cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05986461 (Spatially Resolved Transcriptomics Reveals Phenotype-specific Molecular Signatures in Complex Regional Pain Syndrome), which is not on this map. Cited by 634 papers.
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.
Spatially Resolved Transcriptomics Reveals Phenotype-specific Molecular Signatures in Complex Regional Pain Syndrome
Who cites it
634 citing papers in PubMed, 1,073 citations in OpenAlex.
- Spatial transcriptomics unveils immune cellular ecosystems associated with patient survival in diffuse large B-cell lymphoma.Oncoimmunology · 2026Article
- Identification of cancer-associated fibroblast biomarkers in cutaneous squamous cell carcinoma.Oncology letters · 2026Article
- CDState Resolves Malignant Cell Heterogeneity from Bulk Tumor RNA Sequencing Data.Cancer research · 2026Article
- Reframing cancer therapy through tumor plasticity.Nature cancer · 2026Review
- Decoding epithelial-mesenchymal transitions with multi-omics.Nature reviews. Genetics · 2026Review
- Spatiotemporal transcriptomics for tumour microenvironment remodelling in cancer progression and therapy.Clinical and translational medicine · 2026Review
- Insights Into Spatial Transcriptomics: Exploring Recent Technical Developments and Their Diverse Applications.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Review
- Multi-omic analysis of jaw-bone periosteum identifies the role of macrophage-derived SPP1 in CtskBone research · 2026Article
- Decoding Skeletal Biology Through Transcriptomics: Insights from Bulk, Single-Cell, Spatial, and Multi-Omics Approaches.International journal of molecular sciences · 2026Review
- 6PPDQ Promotes Cutaneous Squamous Cell Carcinoma Growth with PI3K-Akt/MMP9 Activation: Evidence from Integrated Network Toxicology and Experimental Investigation.International journal of molecular sciences · 2026Article
- A guide to understanding tumour evolution through the lens of population genetics.Nature reviews. Cancer · 2026Review
- Benchmarking copy number alteration inference methods for spatial transcriptomics.Nature communications · 2026Article
- Microenvironment-aware transcriptome reconstruction in spatial transcriptomics.Nature communications · 2026Article
- IL-33/IL1RL1 (ST2) signalling drives immune suppression in squamous intraepithelial hyperplasia.Tumour virus research · 2026Article
- Spatial cell-cell communication inference based on cell-spot-ligand-receptor heterogeneous graphs.PLoS computational biology · 2026Article
- OT-knn: A neighborhood-aware optimal transport framework for aligning spatial transcriptomics data.PLoS computational biology · 2026Article
- ST-ConMa: a multimodal foundation framework for spatial transcriptomics via image-gene contrastive and matching learning.Briefings in bioinformatics · 2026Article
- Spatial analysis of head and neck cancer identifies two ecosystems with distinct modes of epithelial-to-mesenchymal transition.Nature genetics · 2026Article
- DeepPathway: predicting pathway expression from histopathology images.Bioinformatics (Oxford, England) · 2026Article
- Unified representation learning for spatial multi-omics.Bioinformatics (Oxford, England) · 2026Article
574 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
21 authors at 4 institutions in 2 countries.
Funding
Abstract
To define the cellular composition and architecture of cutaneous squamous cell carcinoma (cSCC), we combined single-cell RNA sequencing with spatial transcriptomics and multiplexed ion beam imaging from a series of human cSCCs and matched normal skin. cSCC exhibited four tumor subpopulations, three recapitulating normal epidermal states, and a tumor-specific keratinocyte (TSK) population unique to cancer, which localized to a fibrovascular niche. Integration of single-cell and spatial data mapped ligand-receptor networks to specific cell types, revealing TSK cells as a hub for intercellular communication. Multiple features of potential immunosuppression were observed, including T regulatory cell (Treg) co-localization with CD8 T cells in compartmentalized tumor stroma. Finally, single-cell characterization of human tumor xenografts and in vivo CRISPR screens identified essential roles for specific tumor subpopulation-enriched gene networks in tumorigenesis. These data define cSCC tumor and stromal cell subpopulations, the spatial niches where they interact, and the communicating gene networks that they engage in cancer.
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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.