Anti-CA125 monoclonal antibody, clone N77162-HRP

We report here, our experience of seven patients with epithelioid sarcomas and their serum CA 125 levels, as well as the results of an in vitro and in vivo study of CA 125 expression in epithelioid sarcoma cells and xenografts using three epithelioid sarcoma cell lines. In the clinical study, the serum CA 125 levels of seven epithelioid sarcoma patients were examined at multiple time points. Expression of the MUC16 gene that encodes the CA 125 sequence was examined using RT-PCR methods in three epithelioid sarcoma cell lines, FU-EPS-1, SFT-8606 and NEPS, and the CA 125 protein in each cell lysate was examined by Western blot using anti-CA 125 clone OC125 antibody. The concentration of CA 125 in the conditioned medium of each cell line was also measured. In five of the seven epithelioid sarcoma patients, CA 125 levels reflected regression and progression of their disease. The CA 125 concentrations in the conditioned medium of FU-EPS-1, SFT-8606 and NEPS cells were 259, 252, and 6 U/ml, respectively. Strong expression of MUC16 mRNA was shown in FU-EPS-1 and SFT-8606 cells: correspondingly, a thick band was observed by Western blot analysis in only FU-EPS-1 and SFT-8606 cells. We concluded that epithelioid sarcoma cells produce and secrete CA 125 into the blood serum and that the elevation of serum CA 125 correlates with disease progression. Therefore, measuring the serum CA 125 level should provide an useful index for diagnosing and monitoring the course of epithelioid sarcoma.

As the widely development of Next-generation sequencing (NGS), many studies conducted the somatic data analysis of cancers, which provides the valuable information for understanding cancer incidence and progression. In this paper, we conducted a somatic data analysis for eight cancers, they are: Glioblastoma Multiforme, Head and Neck squamous cell carcinoma, Kidney renal clear cell carcinoma (Kirc), Lung Adenocarcinoma (Luad), Lung squamous cell carcinoma (Lusc), Ovarian Cancer (Ov), Skin Cutaneous Melanoma (Skcm) and Thyroid carcinoma (Thca). We explored the potential association between these cancers based on the somatic signatures identification and the association rules analysis. We found that TTN, TP53, CSMD3, MUC16 and PCDHGC5 were genes haboring the highest mutations ratio for eight cancers. Furthermore, we found the potential association among Hnsc, Skcm and Luad using association rules method. Some evidences have approved the common risk factors and molecular abnormalities in cell-cycle regulation and signal transduction predominate among these three cancers. Our analysis might help shed light on the links between different cancers as a whole.