Prognostic Implications of the Complement Protein C1q in Gliomas

• Published in: Frontiers in Immunology Vol. 10; p. 2366
• Main Authors: Mangogna, Alessandro, Belmonte, Beatrice, Agostinis, Chiara, Zacchi, Paola, Iacopino, Domenico Gerardo, Martorana, Anna, Rodolico, Vito, Bonazza, Deborah, Zanconati, Fabrizio, Kishore, Uday, Bulla, Roberta
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media SA 10.10.2019; Frontiers Media S.A
• Subjects: bioinformatics analysi; bioinformatics analysis; bioinformatics analysis; C1q complement; gliomas; prognostic significance of C1q; survival probability; Biomarkers, Tumor; Brain Neoplasms; C1q complement; Complement C1q; Databases, Nucleic Acid; Female; Gene Expression Regulation, Neoplastic; glioma; Gliomas; Humans; Immunologic diseases. Allergy; Immunology; Male; Neoplasm Proteins; Prognosis; prognostic significance of C1q; RC581-607; survival probability; Tumor Microenvironment; C1q complement; prognostic significance of C1q; gliomas; bioinformatics analysis; survival probability
• ISSN: 1664-3224; 1664-3224
• DOI: 10.3389/fimmu.2019.02366

The contribution of the complement system in the pathophysiology of brain cancers has been recently considered in light of its well-known involvement in carcinogenesis. Complement system represents an important component of the inflammatory response, which acts as a functional bridge between the innate and adaptive immune response. C1q, the first recognition subcomponent of the complement classical pathway, has recently been shown to be involved in a range of pathophysiological functions that are not dependent on complement activation. C1q is expressed in the microenvironment of various types of human tumors, including melanoma, prostate, mesothelioma, and ovarian cancers, where it can exert a protective or a harmful effect on cancer progression. Despite local synthesis of C1q in the central nervous system, the involvement of C1q in glioma pathogenesis has been poorly investigated. We, therefore, performed a bioinformatics analysis, using Oncomine dataset and UALCAN database in order to assess whether the expression of the genes encoding for the three chains of C1q ( , and ) could serve as a potential prognostic marker for gliomas. The obtained results were then validated using an independent glioma cohort from the Chinese Glioma Genome Atlas datasets. Our bioinformatics analysis, coupled with immunohistochemistry and fluorescence microscopy, appears to suggest a positive correlation between higher levels of C1q expression and unfavorable prognosis in a diverse grade of gliomas.