ArticleFrontiers in immunology2022
Single-cell transcriptome analysis reveals heterogeneity and convergence of the tumor microenvironment in colorectal cancer.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Prognostic role of HSPs in human colorectal cancer: a systematic review and meta-analysis.BMC cancer · 2026Pooled it
- Immune pathways and prenatal/perinatal environmental exposures contribute to epigenetic gestational age prediction and acceleration.Epigenetics · 2026Article
- Cancer-associated adipocytes: metabolic reprogramming, crosstalk and therapeutic implications in tumor progression.Signal transduction and targeted therapy · 2026Review
- Advancing the understanding of tumor microenvironment through medical imaging based on bibliometric analysis.Translational cancer research · 2026Article
- Scissor-CIBERSORTx Deconvolution Reveals Functional Heterogeneity of CTAL/aTAL Cells and Associated Biomarkers in Renal Fibrosis.Current issues in molecular biology · 2026Article
- Single-cell landscape of melanoma reveals ETV5-driven C3 ID4Frontiers in immunology · 2026Article
- Integrative multi-omics analysis identifies a CMA-associated heterogeneity risk score and a cDCs-based immune score for robust prognostic stratification in colon cancer with single-center and experimental validation.Frontiers in immunology · 2026Article
- Integrate bulk RNA and single-cell sequencing to identify prognostic genes associated with dietary restriction and circadian rhythm in colorectal cancer and conduct experimental verification.Clinical and experimental medicine · 2025Article
- Integrative Bioinformatics and Experimental Validation Establish CCNB1 as a Potential Biomarker for Diagnosis and Prognosis in Colorectal Cancer.Current issues in molecular biology · 2025Article
- CXCL12 deficiency promotes colorectal cancer progression and reduces anti-PD-L1 immunotherapy efficacy through MDSC regulation.Journal of translational medicine · 2025Article
- Risk model of liquid-liquid phase separation-related genes reveals the prognosis and tumor microenvironment characteristics of colorectal cancer.Journal of cell communication and signaling · 2025Article
- Deep learning-based fusion of nuclear segmentation features for microsatellite instability and tumor mutational burden prediction in digestive tract cancers: a multicenter validation study.Briefings in bioinformatics · 2025Article
- Exploring the Single-Cell Dynamics of FOXM1 Under Cell Cycle Perturbations.Cell proliferation · 2025Article
- A dynamic molecular landscape in colorectal cancer progression at single-cell resolution.Journal of translational medicine · 2025Article
- Integrating single-cell sequencing and machine learning to uncover the role of mitophagy in subtyping and prognosis of esophageal cancer.Apoptosis : an international journal on programmed cell death · 2025Article
- The Predictive Value of Neutrophil Extracellular Trap-Related Risk Score in Prognosis and Immune Microenvironment of Colorectal Cancer Patients.Molecular biotechnology · 2025Article
- Migrasome-Related Genes as Potential Prognosis and Immunotherapy Response Predictors for Colorectal Cancer.Biomedicines · 2025Article
- Single-Cell Transcriptomic Approaches for Decoding Non-Coding RNA Mechanisms in Colorectal Cancer.Non-coding RNA · 2025Review
- An Analysis Regarding the Association Between DAZ Interacting Zinc Finger Protein 1 (DZIP1) and Colorectal Cancer (CRC).Molecular biotechnology · 2025Article
- Lipid metabolic reprogramming in colorectal cancer: mechanisms and therapeutic strategies.Frontiers in immunology · 2025Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Colorectal cancer (CRC) ranks second for mortality and third for morbidity among the most commonly diagnosed cancers worldwide. We aimed to investigate the heterogeneity and convergence of tumor microenvironment (TME) in CRC. Methods: We analyzed the single-cell RNA sequencing data obtained from the Gene Expression Omnibus (GEO) database and identified 8 major cell types and 25 subgroups derived from tumor, para-tumor and peripheral blood. Results: In this study, we found that there were significant differences in metabolic patterns, immunophenotypes and transcription factor (TF) regulatory patterns among different subgroups of each major cell type. However, subgroups manifested similar lipid metabolic patterns, immunosuppressive functions and TFs module at the end of the differentiation trajectory in CD8+ T cells, myeloid cells and Fibroblasts. Meanwhile, TFs regulated lipid metabolism and immunosuppressive ligand-receptor pairs were detected by tracing the differentiation trajectory. Based on the cell subgroup fractions calculated by CIBERSORTx and bulk RNA-sequencing data from The Cancer Genome Atlas (TCGA), we constructed an immune risk model and clinical risk model of CRC which presented excellent prognostic value. Conclusion: This study identified that the differentiation was accompanied by remodeling of lipid metabolism and suppression of immune function, which suggest that lipid remodeling may be an important trigger of immunosuppression. More importantly, our work provides a new perspective for understanding the heterogeneity and convergence of the TME and will aid the development of prognosis and immunotherapies of CRC patients.
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