ArticleNPJ precision oncology2024
Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics.
Article in NPJ precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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Who cites it
91 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.
- Systematic Review of Monocyte Transcriptomic Profiles as Diagnostic and Prognostic Biomarkers in Colorectal Cancer.International journal of molecular sciences · 2026Pooled it
- SLC39-driven zinc influx orchestrates pleiotropic tumor-immune system cross-talk to establish immune suppression in colorectal cancer.Science advances · 2026Article
- Integrated spatial and single-cell transcriptomics uncover IFI6⁺ regulatory T-cells and SPP1⁺ macrophages immunosuppressive niches in colorectal cancer.British journal of cancer · 2026Article
- TNFR1 expression on cancer cells mediates immune escape and an immunosuppressive microenvironment.The Journal of experimental medicine · 2026Article
- Deep Learning-Assisted Prioritization of Candidate Drug Targets in Tumors Using Spatial Multi-Omics.Biology · 2026Review
- Stroma-Dominant Colorectal Cancer Harbors CAF-Rich Spatial Architecture and EMT-Associated Cancer Cell Plasticity Detectable After Dissemination.Biomolecules · 2026Article
- Spatially defined microenvironmental niches are associated with clinical outcome and tumor ecosystem diversity in head and neck cancer.Med (New York, N.Y.) · 2026Article
- A Neuro-Immune Score Defines a Stromal-Neural and Immune-Segregated Microenvironment Associated with Poor Prognosis in Colorectal Cancer.International journal of molecular sciences · 2026Article
- Integrated Spatial and Bulk Untargeted Metabolomics Characterize Location- and Histology-Associated Metabolic Heterogeneity in Colorectal Cancer.Journal of proteome research · 2026Article
- DFCE-KanT: predicting spatial gene expression from histology images via contrastive learning.Bioinformatics (Oxford, England) · 2026Article
- Targeting colorectal cancer and T‑cell metabolism for the treatment of colorectal cancer (Review).Oncology reports · 2026Review
- Trimodal, uncertainty-guided whole-slide framework for genome-scale spatial expression and image-only virtual perturbation in cancer cohorts.Genome medicine · 2026Article
- CLEC2B-KLRB1 axis acts as an immune checkpoint, governing the exhaustion of CD8Journal for immunotherapy of cancer · 2026Article
- Immune Checkpoint-Based Therapies in Colorectal Cancer-Current Approaches and Future Perspectives.International journal of molecular sciences · 2026Review
- Pan-cancer analysis of spatial transcriptomics reveals heterogeneous tumor spatial microenvironment.Cell reports. Medicine · 2026Article
- Multi Omics Integration in Colorectal Cancer: From Molecular Insights to Precision Oncology.Cancers · 2026Review
- Therapeutic Strategies Targeting the Tumor-Stromal Microenvironment in Colorectal Cancer: A Narrative Review.Targeted oncology · 2026Review
- Spatial-aware detection of copy number alterations from spatial transcriptomics using SpaCNA.Nature communications · 2026Article
- SpaNiche: spatial niche analysis to explore colocalization patterns and cellular interactions in spatial transcriptomics data.Genome biology · 2026Article
- PRDM Proteins Orchestrate Colorectal Cancer Tumorigenesis.International journal of molecular sciences · 2026Review
31 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
23 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The consensus molecular subtypes (CMS) of colorectal cancer (CRC) is the most widely-used gene expression-based classification and has contributed to a better understanding of disease heterogeneity and prognosis. Nevertheless, CMS intratumoral heterogeneity restricts its clinical application, stressing the necessity of further characterizing the composition and architecture of CRC. Here, we used Spatial Transcriptomics (ST) in combination with single-cell RNA sequencing (scRNA-seq) to decipher the spatially resolved cellular and molecular composition of CRC. In addition to mapping the intratumoral heterogeneity of CMS and their microenvironment, we identified cell communication events in the tumor-stroma interface of CMS2 carcinomas. This includes tumor growth-inhibiting as well as -activating signals, such as the potential regulation of the ETV4 transcriptional activity by DCN or the PLAU-PLAUR ligand-receptor interaction. Our study illustrates the potential of ST to resolve CRC molecular heterogeneity and thereby help advance personalized therapy.
Identifiers
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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.