Is the Complement Protein C1q a Pro- or Anti-tumorigenic Factor? Bioinformatics Analysis Involving Human Carcinomas

This study is an important step forward in highlighting C1q as a new prognostic candidate biomarker for a range of carcinomas. Methods Oncomine Database Analysis The expression levels of C1QA, C1QB, and C1QC genes in various carcinomas were analyzed using Oncomine (www.oncomine.org), a cancer microarray database and web-based data mining platform from genome-wide expression analyses (22, 23). We compared the differences in mRNA level between normal tissue and carcinoma. The mRNA expression levels in neoplastic tissues compared to the healthy tissues were obtained as the parameters of p-value 2, and gene ranking in the top 10%. Information about the dataset used in this study is summarized in Supplementary Table 1. Kaplan-Meier Plotter Database Analysis A Kaplan-Meier plotter database can be used to assess the effect of 54,675 genes on survival using 10,461 carcinoma samples (5,143 breast, 1,816 ovarian, 2,437 lung, and 1,065 gastric cancer patients with a mean follow-up of 69/40/49/33 months) using probe sets on the HGU133 Plus 2.0 array from Gene Expression Omnibus (GEO). For other human carcinoma, a total of 3,439 patients with RNA HiSeq data from The Cancer Genome Atlas (TCGA) cohort were collected. The prognostic significance of C1QA, C1QB, and C1QC expression and survival in several carcinomas was analyzed by Kaplan-Meier plotter (www.kmplot.com/analysis/) (24). The hazard ratio with 95% confidence intervals and logrank p-value was also computed. Immunohistochemica...
Source: Frontiers in Immunology - Category: Allergy & Immunology Source Type: research

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