Codrituzumab

Heparan sulfate proteoglycans (HSPGs) play important roles in cancer initiation and progression, by interacting with the signaling pathways that affect proliferation, adhesion, invasion and angiogenesis. These roles suggest the possibility of various strategies of regulation of these molecules. In this review, we demonstrated that the anticancer drugs can regulate the heparan sulfate proteoglycans activity in different ways: some act directly in core protein, and can bind to a specific type of HSPG. Others drugs interact with glycosaminoglycans chains, and others can act directly in enzymes that regulate HSPGs levels. We also demonstrated that the HSPGs drug targets can be divided into four groups: monoclonal antibodies, antitumor antibiotic, natural products, and mimetics peptide. Interestingly, many drugs demonstrated in this review are approved by FDA and is used in cancer therapy (Food and Drug Administration) like trastuzumab, panitumumab, bleomycin and bisphosphonate zoledronic acid (ASCO) or are in clinical trials like codrituzumab and genistein. This review should help researchers to understand the mechanism of action of anticancer drugs existing and also may inspire the discovery of new drugs that regulate the heparan sulfate proteoglycans activity.

Codrituzumab, a humanized monoclonal antibody against Glypican-3 (GPC3), which is expressed in hepatocellular carcinoma (HCC), was tested in a randomized phase II trial in advanced HCC patients who had failed prior systemic therapy. Biomarker analysis was performed to identify a responder population that benefits from treatment.

A novel statistical method based on the Indian buffet process (IBP) was used to identify biomarkers predictive of response to treatment with Codrituzumab. The IBP is a novel method that allows flexibility in analysis design, and which is sensitive to slight, but meaningful between-group differences in biomarkers in very complex datasets RESULTS: The IBP model identified several subpopulations of patients having defined biomarker values. Tumor necrosis and viable cell content in the tumor were identified as prognostic markers of disease progression, as were the well-known HCC prognostic markers of disease progression, alpha-fetoprotein and Glypican-3 expression. Predictive markers of treatment response included natural killer (NK) cell surface markers and parameters influencing NK cell activity, all related to the mechanism of action of this drug CONCLUSIONS: The Indian buffet process can be effectively used to detect statistically significant signals with high sensitivity in complex and noisy biological data TRIAL REGISTRATION: NCT01507168 , January 6, 2012.