Complement protein expression changes in various conditions of breast cancer: in-silico analyses-experimental research.
| Autor: | Zabihi MR; Department of Immunology, School of Medicine, Tehran University of Medical Sciences., Farhadi B; School of Medicine, Islamic Azad University, Mashhad Branch, Mashhad., Akhoondian M; Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran. |
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| Jazyk: | angličtina |
| Zdroj: | Annals of medicine and surgery (2012) [Ann Med Surg (Lond)] 2024 Jul 17; Vol. 86 (9), pp. 5152-5161. Date of Electronic Publication: 2024 Jul 17 (Print Publication: 2024). |
| DOI: | 10.1097/MS9.0000000000002216 |
| Abstrakt: | Introduction: Breast cancer is the most prevalent cancer diagnosed in females worldwide. The known biomarkers are insufficient to understand the actual prognosis of breast cancer, and identifying new biomarkers is desirable and valuable data to improve the patient's survival. Many inflammatory biomarkers, such as the complement system, can be regarded as prognostic values and as potent inflammatory mediators; complement proteins have a critical role in tumorigenesis. In the current study, the authors aim to investigate complement protein expression changes, particularly complement 3 (C3), complement 7 (C7), complement factor B (CFB), and complement factor D (CFD), in various conditions of breast cancer using in-silico tools. Methods: The intent data were extracted using webtools, including; Kaplan-Meier plotter, BcGenExMiner, UALCAN, cbioportal, GeneMania, and Enrichr. To select valid data, a P greater than 0.05 was considered. Results: The current study clarified that 21 complement genes correlated to survival conditions. Also, down or upregulation of extracted genes and breast cancer statuses were identified. Additionally, expression level difference of complement genes in various breast cancer four stages was detected. Ultimately, co-expression genes with complement genes were extracted and networked. Conclusion: Changes in the expression of complement proteins can strongly correlate to breast cancer's prognosis, status, and survival. Furthermore, considering the vital role of CFD and CFB complement proteins in the alternative pathway in different stages of breast cancer, CFD and CFB can be regarded as reliable prognostic values for diagnosis. Competing Interests: The authors declare no conflict of interest.Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article. (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.) |
| Databáze: | MEDLINE |
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