Phosphorylated protein phosphatase 2A determines poor outcome in patients with metastatic colorectal cancer.

BACKGROUND: Protein phosphatase 2A (PP2A) is a tumour suppressor frequently inactivated in human cancer and its tyrosine-307 phosphorylation has been reported as a molecular inhibitory mechanism. METHODS: Expression of phosphorylated PP2A (p-PP2A) was evaluated in 250 metastatic colorectal cancer (CRC) patients. Chi-square, Kaplan-Meier and Cox analyses were used to determine correlations with clinical and molecular parameters and impact on clinical outcomes. RESULTS: High p-PP2A levels were found in 17.2% cases and were associated with ECOG performance status (P=0.001) and presence of synchronous metastasis at diagnosis (P=0.035). This subgroup showed substantially worse overall survival (OS) (median OS, 6.0 vs 26.2 months, P<0.001) and progression-free survival (PFS) (median PFS, 3.8 vs 13.3 months, P<0.001). The prognostic impact of p-PP2A was particularly evident in patients aged <70 years (P<0.001). Multivariate analysis revealed that p-PP2A retained its prognostic impact for OS (hazard ratio 2.7; 95% confidence interval, 1.8-4.1; P<0.001) and PFS (hazard ratio 3.0; 95% confidence interval, 1.8-5.0; P<0.001). CONCLUSIONS: Phosphorylated PP2A is an alteration that determines poor outcome in metastatic CRC and represents a novel potential therapeutic target in this disease, thus enabling to define a subgroup of patients who could benefit from future treatments based on PP2A activators.

Active angiogenesis in metastatic renal cell carcinoma predicts clinical benefit to sunitinib-based therapy.

BACKGROUND: Sunitinib represents a widely used therapy for metastatic renal cell carcinoma patients. Even so, there is a group of patients who show toxicity without clinical benefit. In this work, we have analysed pivotal molecular targets involved in angiogenesis (vascular endothelial growth factor (VEGF)-A, VEGF receptor 2 (KDR), phosphorylated (p)KDR and microvascular density (MVD)) to test their potential value as predictive biomarkers of clinical benefit in sunitinib-treated renal cell carcinoma patients. METHODS: Vascular endothelial growth factor-A, KDR and pKDR-Y1775 expression as well as CD31, for MVD visualisation, were determined by immunohistochemistry in 48 renal cell carcinoma patients, including 23 metastatic cases treated with sunitinib. Threshold was defined for each biomarker, and univariate and multivariate analyses for progression-free survival (PFS) and overall survival (OS) were carried out. RESULTS: The HistoScore mean value obtained for VEGF-A was 121.6 (range, 10-300); for KDR 258.5 (range, 150-300); for pKDR-Y1775 10.8 (range, 0-65) and the mean value of CD31-positive structures for MVD visualisation was 49 (range, 10-126). Statistical differences for PFS (P=0.01) and OS (P=0.007) were observed for pKDR-Y1775 in sunitinib-treated patients. Importantly, pKDR-Y1775 expression remained significant after multivariate Cox analysis for PFS (P=0.01; HR: 5.35, 95% CI, 1.49-19.13) and for OS (P=0.02; HR: 5.13, 95% CI, 1.25-21.05). CONCLUSIONS: Our results suggest that the expression of phosphorylated (i.e., activated) KDR in tumour stroma might be used as predictive biomarker for the clinical outcome in renal cell carcinoma first-line sunitinib-treated patients.

Stable interference of EWS-FLI1 in an Ewing sarcoma cell line impairs IGF-1/IGF-1R signalling and reveals TOPK as a new target.

BACKGROUND: Ewing sarcoma is a paradigm of solid tumour -bearing chromosomal translocations resulting in fusion proteins that act as deregulated transcription factors. Ewing sarcoma translocations fuse the EWS gene with an ETS transcription factor, mainly FLI1. Most of the EWS-FLI1 target genes still remain unknown and many have been identified in heterologous model systems. METHODS: We have developed a stable RNA interference model knocking down EWS-FLI1 in the Ewing sarcoma cell line TC71. Gene expression analyses were performed to study the effect of RNA interference on the genetic signature of EWS-FLI1 and to identify genes that could contribute to tumourigenesis. RESULTS: EWS-FLI1 inhibition induced apoptosis, reduced cell migratory and tumourigenic capacities, and caused reduction in tumour growth. IGF-1 was downregulated and the IGF-1/IGF-1R signalling pathway was impaired. PBK/TOPK (T-LAK cell-originated protein kinase) expression was decreased because of EWS-FLI1 inhibition. We showed that TOPK is a new target gene of EWS-FLI1. TOPK inhibition prompted a decrease in the proliferation rate and a dramatic change in the cell's ability to grow in coalescence. CONCLUSION: This is the first report of TOPK activity in Ewing sarcoma and suggests a significant role of this MAPKK-like protein kinase in the Ewing sarcoma biology.

Identification of novel targets for cancer therapy using expression proteomics.

Although most drugs target proteins, the proteome has remained largely untapped for the discovery of drug targets. The sequencing of the human genome has had a tremendous impact on proteomics and has provided a framework for protein identification. There is currently substantial interest in implementing proteomics platforms for drug target discovery. Although the field is still in the early stages, current proteomic tools include a variety of technologies that could be implemented for large-scale protein expression analysis of cells and tissues, leading to discovery of novel drug targets. Proteomics uniquely allows delineation of global changes in protein expression patterns resulting from transcriptional and post-transcriptional control, post-translational modifications and shifts in proteins between different cellular compartments. Some of the current technologies for proteome profiling and the application of proteomics to the analysis of leukemias by our group are reviewed.

Protein based microarrays: a tool for probing the proteome of cancer cells and tissues.

A novel proteomic approach for probing cell and tissue proteome, which combines liquid phase protein separations with microarray technology has been developed. Proteins in cell and tissue lysates or in cellular subfractions are separated using any one of a number of separation modes which may consist of ion exchange liquid chromatography (LC), reverse phase LC, carrier ampholyte based separations, e.g. the use of Rotofor, affinity based separations, or gel based separations. Each first-dimension fraction obtained using one separation mode can be further resolved using one or more of the other separation modes to yield either purified protein in solution or liquid fractions with substantially reduced protein complexity. The advantage of a liquid based separation system is that proteins in hundreds of individual fractions can be arrayed directly and used as targets for a variety of probes. Constituent proteins in reactive fractions are identified by mass spectrometry and may be further resolved to determine the nature of the reactive protein(s). We present in this report initial data based on microarray analysis of individual Rotofor fractions obtained from lung adenocarcinoma cell line A549 lysates which have been probed with antibodies against specific proteins.