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Published on: May 17, 2019
Pan-analysis reveals CACYBP to be a novel prognostic and predictive marker for multiple cancers
Baosen Mo1, Bijun Luo2, Yuesong Wu1
1Department of Cardiothoracic Surgery, The 923 Hospital of Joint Logistics Support Force of Chinese People's Liberation Army Nanning, Guangxi Zhuang Autonomous Region, China.
Objectives:
Cancer has emerged as a global issue in terms of public health care and treatment. The significance of calcyclin binding protein (CACYBP) in various neoplasms suggests that it may serve as a novel biomarker for numerous types of human tumors.
Methods:
Our research investigated the differences in CACYBP expression between cancer tissues and normal tissues using a total of 18,787 samples from multiple centers. To explore the prognostic factor of CACYBP in cancers, we utilized Cox regression analysis and Kaplan-Meier curves. We also conducted Spearman's rank correlation analyses to determine the associations of CACYBP expression with the immune microenvironment, etc. Additionally, we applied gene set enrichment analysis to explore the underlying mechanisms of CACYBP in cancers. A partial validation of CacyBP expression in cancer tissues was performed through lung adenocarcinoma samples using Western blotting and paired t-test.
Results:
Compared to normal tissues, CACYBP exhibited high expression levels in 14 cancer types, including breast invasive carcinoma, and low expression levels in six cancers, including glioblastoma multiforme (P < 0.05). CACYBP expression was found to be significantly associated with the prognosis of 13 cancers, including adrenocortical carcinoma (P < 0.05). CACYBP demonstrated a robust ability to distinguish 15 cancers, including cholangiocarcinoma, from their control samples (area under the curve > 0.8). Furthermore, CACYBP expression was correlated with tumor mutational burden, microsatellite instability, and immune infiltration levels, indicating its potential as an exciting target for cancer treatment. CACYBP may exert its effects on several signaling pathways, including cytokine-cytokine receptor interaction, in various cancers. Compared with paired adjacent specimens, the expression level of CacyBP protein was up-regulated in lung adenocarcinoma specimens (P < 0.05), partially validating the increased expression of CACYBP in cancers.
Conclusions:
CACYBP has the potential to serve as a novel prognostic and predictive marker for multiple human cancers.
