ArticleAnnals of surgical oncology2024
Identification and Verification of Key Genes in Colorectal Cancer Liver Metastases Through Analysis of Single-Cell Sequencing Data and TCGA Data.
Article in Annals of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- MCC-135 Exerts Antiepileptic and Neuroprotective Effects by Downregulating NCX1 Expression to Decrease Intracellular Calcium Overload in the Hippocampus.CNS neuroscience & therapeutics · 2026Article
- Uncertainty-aware and causal test-time adaptive foundation model for robust colorectal cancer pathology diagnosis.NPJ digital medicine · 2025Article
- Utilises Machine Learning Techniques to Deeply Analyse the Role of Lysosome-Dependent Cell Death in Endometrial Cancer and Its Interactions With the Tumour Microenvironment.Journal of cellular and molecular medicine · 2025Article
- PTK6 mediated immune signatures revealed by single cell transcriptomic and multi omics big data analysis in cervical cancer.Discover oncology · 2025Article
- Multiomics Signature Reveals Network Regulatory Mechanisms in a CRC Continuum.International journal of molecular sciences · 2025Article
- Multi-omics in colorectal cancer liver metastasis: applications and research advances.Cancer biology & medicine · 2025Review
- Colorectal cancer stem cells crosstalk in tumor immune microenvironment and targeted therapeutic strategies.Frontiers in immunology · 2025Review
- Understanding Quality of Life After Pelvic Exenteration for Patients with Rectal Cancer.Annals of surgical oncology · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundColorectal cancer (CRC) is highly prevalent worldwide, with more patients experiencing colorectal cancer liver metastases (CRLM). This study aimed to identify key genes in CRLM through single-cell sequencing data reanalysis and experimental validation.
methodsThe study analyzed single-cell RNA-sequencing (scRNA-seq) data from the Gene Expression Omnibus (GEO) database. Gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) were used for gene functional enrichment analysis. The Cancer Genome Atlas (TCGA) data enabled bulk-RNA expression and survival prognosis analysis. Real-time polymerase chain reaction (qPCR) detected mRNA expression, whereas Western blot determined protein levels. Cell function experiments assessed SPARC's impact on CRC cell behavior.
resultsCluster analysis showed 23 classes among 17 CRLM samples, representing six cell types. A GO and KEGG analysis identified interleukin-1 beta (IL1B), CD2 molecule (CD2), and C-X-C motif chemokine ligand 8 (CXCL8) as significant prognostic factors in CRC. Secreted protein acidic and cysteine rich (SPARC) was one of the top differentially expressed genes (DEGs) in tissue stem cells, confirmed in primary and metastatic lesions. Metastatic lesions showed higher expression of SPARC and CRC stem cell marker leucine-rich repeat containing G protein-coupled receptor 5 (LGR5), which was significantly correlated positively with LGR5 expression. Knockdown of SPARC reduced CRC cell sphere- and colony-formation, invasion, and migration abilities. Overexpression of SPARC significantly increased the malignancy of CRC cells.
conclusionsSeveral key genes were identified in the process of CRLM. In CRLM samples and those corresponding to CRC stem cells, SPARC was significantly upregulated. In the therapy of CRLM, SPARC might be a potential target.
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