Computational assessment of SKA1 as a potential cancer biomarker
| Autor: | Ceren Sucularli |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Oncology medicine.medical_specialty business.industry Biochemistry (medical) Clinical Biochemistry Cancer medicine.disease Biochemistry 03 medical and health sciences 030104 developmental biology 0302 clinical medicine 030220 oncology & carcinogenesis Internal medicine medicine Biomarker (medicine) business Molecular Biology |
| Zdroj: | Turkish Journal of Biochemistry. 44:752-760 |
| ISSN: | 1303-829X 0250-4685 |
| Popis: | Background Spindle and kinetochore associated complex subunit 1 (SKA1) is an essential component of SKA complex, which is required for the proper formation of kinetochore–microtubule attachment and timely mitotic progression. The aim of this study is to perform detailed analyses of SKA1 genomic and expression alterations in cancers and to assess SKA1 as a biomarker for predicting human cancers and patient prognosis. Materials and methods Missense mutations from human cancers were extracted, deleterious missense mutations were predicted and shown on 3D SKA1 protein. SKA1 expression and the effect of SKA1 expression on patient survival were investigated in human cancers. Results and discussion Most of the predicted deleterious mutations were detected on microtubule-binding domain of SKA1, suggesting mutations on microtubule-binding domain might be more relevant in human cancers. High SKA1 expression was detected in various cancers. In addition, patients with high SKA1 expression showed poor overall survival compared to patients with low SKA1 expression in breast, lung and gastric cancers. Conclusion These results suggest that high SKA1 expression might be a prognostic and predictive biomarker for several cancers and mainly mutations in the microtubule-binding domain of SKA1 might have a deleterious effect for SKA1. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|