Anti-Pdcd1 Monoclonal antibody, clone SNQ2-25

The era of cytokines, given to patients with metastatic renal cell carcinoma (mRCC) as part of an unspecific immunomodulatory treatment concept, seems to have ended with the introduction of targeted therapies. However, preliminary data from studies on treatment with checkpoint inhibitors (e.g. anti-PD-1 and anti-PD-L1) may point the way to second-generation immunotherapy. The rationale of such immunomodulatory treatment is to stop or interrupt the tumour from escaping the body's immune defence. Thompson et al. report that increased protein expression of PD-L1 (CD274/ B7-H1) in tumour cells and tumour-infiltrating immune cells (TILs; lymphocytes and histiocytes) is associated with unfavourable clinical pathological parameters as well as poor survival. In small pilot groups of mRCC patients it was found that increased PD-L1 protein expression in tumours and TILs may be correlated with the objective response to anti-PD-1 treatment. Sometimes, however, a very wide variety of response rates was observed, which raises the question if this can be explained by individual expression levels of PD-L1 (CD 274) or PD-1 (PDCD1). Recently published data from the Cancer Genome Atlas (TCGA) Kidney Renal Clear Cell Carcinoma (KIRC) Network now provide a genome-wide data base that allows us to review or validate the molecular results obtained in clear cell renal cell carcinomas (ccRCC) to date. In this study, we analysed the TCGA KIRC mRNA expression data for PD-L1 and PD-1 for a possible association with clinical pathological parameters and the survival of 417 ccRCC patients. The mRNA expression of PD-L1 in primary nephrectomy specimens revealed no significant association with unfavourable clinical parameters. Interestingly, though, a positive correlation with patient survival was found (HR=0,59, p=0,006). These results, which partly contradict the concept applied to date, point out the necessity to ascertain the characteristics of PD-L1 and PD-1 expression at mRNA and protein level in an appropriately sized patient population and evaluate the clinical significance.

For years the identification of candidate genes has been approached in various ways. The latest technology allows for whole genome SNP analysis in genetic association studies. These studies pose new challenges but also new possibilities. I hereby review what is known to date on lupus genetics and what challenges we are to overcome with the new available methods. (c) 2005 Elsevier Ltd. All rights reserved.