Jean Philippe Stephan

PlGF Blockade Does Not Inhibit Angiogenesis during Primary Tumor Growth

It has been recently reported that treatment with an anti-placenta growth factor (PlGF) antibody inhibits metastasis and primary tumor growth. Here we show that, although anti-PlGF treatment inhibited wound healing, extravasation of B16F10 cells, and growth of a tumor engineered to overexpress the PlGF receptor (VEGFR-1), neutralization of PlGF using four novel blocking antibodies had no significant effect on tumor angiogenesis in 15 models. Also, genetic ablation of the tyrosine kinase domain of VEGFR-1 in the host did not result in growth inhibition of the anti-VEGF-A sensitive or resistant tumors tested. Furthermore, combination of anti-PlGF with anti-VEGF-A antibodies did not result in greater antitumor efficacy than anti-VEGF-A monotherapy. In conclusion, our data argue against an important role of PlGF during primary tumor growth in most models and suggest that clinical evaluation of anti-PlGF antibodies may be challenging.

An integrative analysis of colon cancer identifies an essential function for PRPF6 in tumor growth

The spliceosome machinery is composed of multimeric protein complexes that generate a diverse repertoire of mRNA through coordinated splicing of heteronuclear RNAs. While somatic mutations in spliceosome components have been discovered in several cancer types, the molecular bases and consequences of spliceosome aberrations in cancer are poorly understood. Here we report for the first time that PRPF6, a member of the tri-snRNP (small ribonucleoprotein) spliceosome complex, drives cancer proliferation by preferential splicing of genes associated with growth regulation. Inhibition of PRPF6 and other tri-snRNP complex proteins, but not other snRNP spliceosome complexes, selectively abrogated growth in cancer cells with high tri-snRNP levels. High-resolution transcriptome analyses revealed that reduced PRPF6 alters the constitutive and alternative splicing of a discrete number of genes, including an oncogenic isoform of the ZAK kinase. These findings implicate an essential role for PRPF6 in cancer via splicing of distinct growth-related gene products.

Identification and Analysis of In Vivo VEGF Downstream Markers Link VEGF Pathway Activity with Efficacy of Anti- VEGF Therapies

Purpose: The aim of this study was to identify conserved pharmacodynamic and potential predictive biomarkers of response to anti-VEGF therapy using gene expression profiling in preclinical tumor models and in patients. Experimental Design: Surrogate markers of VEGF inhibition [VEGF-dependent genes or VEGF-dependent vasculature (VDV)] were identified by profiling gene expression changes induced in response to VEGF blockade in preclinical tumor models and in human biopsies from patients treated with anti-VEGF monoclonal antibodies. The potential value of VDV genes as candidate predictive biomarkers was tested by correlating high or low VDV gene expression levels in pretreatment clinical samples with the subsequent clinical efficacy of bevacizumab (anti-VEGF)-containing therapy. Results: We show that VDV genes, including direct and more distal VEGF downstream endothelial targets, enable detection of VEGF signaling inhibition in mouse tumor models and human tumor biopsies. Retrospective analyses of clinical trial data indicate that patients with higher VDV expression in pretreatment tumor samples exhibited improved clinical outcome when treated with bevacizumab-containing therapies. Conclusions: In this work, we identified surrogate markers (VDV genes) for in vivo VEGF signaling in tumors and showed clinical data supporting a correlation between pretreatment VEGF bioactivity and the subsequent efficacy of anti-VEGF therapy. We propose that VDV genes are candidate biomarkers with the potential to aid the selection of novel indications as well as patients likely to respond to anti-VEGF therapy. The data presented here define a diagnostic biomarker hypothesis based on translational research that warrants further evaluation in additional retrospective and prospective trials. Clin Cancer Res; 19(13); 3681–92. ©2013 AACR.

Development of a frozen cell array as a high-throughput approach for cell-based analysis.

Recent advances in molecular biology, human genetics, and functional genomics tremendously increase the number of molecular targets available for potential therapeutic and diagnostic use. To complement DNA array data, cost-efficient high-throughput technologies providing reliable information at the protein level need to be developed. Here we describe the generation of a frozen cell array that required the use of single cell suspensions and could serve various applications such as the analysis of specific antibody or ligand binding to a large panel of different cell types. As an example, binding of an anti-human epithelial cell adhesion molecule monoclonal antibody to 24 different cell lines has been analyzed using the cell array and compared to the data generated by fluorescence-activated cell sorting. The reliability and flexibility of our frozen cell array technology is compatible with the needs of high-throughput screening for drug discovery and target validation.

Using RNAi screening technologies to interrogate the extrinsic apoptosis pathway.

Despite the knowledge accumulated during the last two decades about programmed cell death, further investigations of the complex regulatory network of apoptosis, including the extrinsic pathways, are still needed to gain an exhaustive and comprehensive understanding of this critical biological process. In addition, the identification of novel modulators of apoptosis may represent a good opportunity for making new paths into an otherwise heavily investigated area, therefore providing a molecular basis for new therapeutic strategies. In the last decade, RNA interference has become the technology of choice for discovering genes that encode molecules with previously unknown functions in biological pathways of interest. Various RNAi reagents and library formats have been developed and harnessed for high-throughput screening technologies to enable almost limitless investigation to uncover gene functions and networks in the context of basic biology and biomedical research including cancer biology. Although RNAi screening has been demonstrated to be a very powerful tool, various caveats and pitfalls have been progressively uncovered, including, but not limited to the enduring off-target effects. As the novelty of its bells and whistles have begun to diminish, functional genomic screens have morphed into a specialized field within the high-throughput screening community, where expert investigators progressively establish rigorous strategies to mitigate most of its possible flaws. Using various examples of RNAi screens conducted to further understand the extrinsic apoptosis pathway, this chapter describes the different RNAi tools and screening formats available and reviews the parameters one has to critically consider in order to be successful in implementing this technology.