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Pan-cancer Analysis Reveals Cancer-dependent Expression of SOX17 and Associated Clinical Outcomes.
- Source :
-
Cancer genomics & proteomics [Cancer Genomics Proteomics] 2023 Sep-Oct; Vol. 20 (5), pp. 433-447. - Publication Year :
- 2023
-
Abstract
- Background/aim: SRY-box containing gene 17 (SOX17) plays a pivotal role in cancer onset and progression and is considered a potential target for cancer diagnosis and treatment. However, the expression pattern of SOX17 in cancer and its clinical relevance remains unknown. Here, we explored the relationship between the expression of SOX17 and drug response by examining SOX17 expression patterns across multiple cancer types.<br />Materials and Methods: Single-cell and bulk RNA-seq analyses were used to explore the expression profile of SOX17. Analysis results were verified with qPCR and immunohistochemistry. Survival, drug response, and co-expression analyses were performed to illustrate its correlation with clinical outcomes.<br />Results: The results revealed that abnormal expression of SOX17 is highly heterogenous across multiple cancer types, indicating that SOX17 manifests as a cancer type-dependent feature. Furthermore, the expression pattern of SOX17 is also associated with cancer prognosis in certain cancer types. Strong SOX17 expression correlates with the potency of small molecule drugs that affect PI3K/mTOR signaling. FGF18, a gene highly relevant to SOX17, is involved in the PI3K-AKT signaling pathway. Single-cell RNA-seq analysis demonstrated that SOX17 is mainly expressed in endothelial cells and barely expressed in other cells but spreads to other cell types during the development of ovarian cancer.<br />Conclusion: Our study revealed the expression pattern of SOX17 in pan-cancer through bulk and single-cell RNA-seq analyses and determined that SOX17 is related to the diagnosis, staging, and prognosis of some tumors. These findings have clinical implications and may help identify mechanistic pathways amenable to pharmacological interventions.<br /> (Copyright © 2023, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1790-6245
- Volume :
- 20
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Cancer genomics & proteomics
- Publication Type :
- Academic Journal
- Accession number :
- 37643784
- Full Text :
- https://doi.org/10.21873/cgp.20395