ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2023
A multidimensional pan-cancer analysis of DCAF13 and its protumorigenic effect in lung adenocarcinoma.
Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Pro-tumourigenic effects of DCAF13 on the progression of colorectal cancer.Oncology letters · 2026Article
- Tissue-Specific Multi-Omics Integration Demonstrates Molecular Signatures Connecting Obesity to Immune Vulnerability.Metabolites · 2026Article
- DCAF13 influences breast cancer chemotherapy resistance through metabolic reprogramming by regulating c-Myc expression.Medical oncology (Northwood, London, England) · 2025Article
- Machine Learning-based Gene Biomarker Identification for Improving Prognosis and Therapy in Hepatocellular Carcinoma.Current medicinal chemistry · 2025Article
- GLN2 as a key biomarker and therapeutic target: evidence from a comprehensive pan-cancer study using molecular, functional, and bioinformatic analyses.Discover oncology · 2024Article
- DCAF13 promotes ovarian cancer progression by activating FRAS1-mediated FAK signaling pathway.Cellular and molecular life sciences : CMLS · 2024Article
- DCAF13 inhibits the p53 signaling pathway by promoting p53 ubiquitination modification in lung adenocarcinoma.Journal of experimental & clinical cancer research : CR · 2024Article
- STAT5B Suppresses Ferroptosis by Promoting DCAF13 Transcription to Regulate p53/xCT Pathway to Promote Mantle Cell Lymphoma Progression.Biologics : targets & therapy · 2024Article
- Function and prognosis analysis of nucleolus protein DCAF13 in breast cancer.Translational cancer research · 2023Article
- A multidimensional pan-cancer analysis of DCAF13 and its protumorigenic effect in lung adenocarcinoma.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DCAF13 is a substrate recognition protein in the ubiquitin-proteasome system with oncogenic effects in several malignant tumors. However, it is unclear that the relationship between DCAF13 expression pattern and prognosis across different cancer types. Also unknown is the biological function or effects on the immune microenvironment of DCAF13. In this study, we parsed multiple public databases to explore the potential tumorigenic actions of DCAF13, including correlations with prognosis, microsatellite instability (MSI), tumor mutational burden (TMB), immune checkpoint genes, immune cell infiltration, and immunotherapy response in pan-cancer. Moreover, we validated DCAF13 expression in a tissue microarray by immunohistochemistry and investigate its effects in vitro and in vivo. The results showed that DCAF13 was upregulated in 17 cancer types and correlated with poor prognosis in many cancers. Also, the correlation between DCAF13 and TMB was found in 14 cancers as well as MSI in nine. The expression level of DCAF13 was found to be notably correlated with immune cell infiltration, showing a negative correlation with CD4 T cell infiltration and a positive correlation with neutrophil infiltration. The oncogene DCAF13 expression was shown to have a positive correlation with CD274 or ADORA2A and negative correlation with VSIR, TNFRSF4, or TNFRSF14 across large subsets of human cancers. Finally, we observed that DCAF13 was highly expressed in a tissue microarray of lung cancer. In immunocompromised mouse models, xenograft growth of human lung cancer cells was significantly inhibited by DCAF13 knockdown. Our results highlighted the value of DCAF13 as a promising independent predictor of poor prognosis through numerous biological processes. High DCAF13 expression often predicts suppressive immune microenvironment and immunotherapy resistance in a pan-cancer context.
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