Aflibercept in combination with FOLFIRI conferred a statistically significant survival benefit over FOLFIRI combined with placebo in patients with mCRC previously treated with oxaliplatin.

BackgroundThere is no standard serum biomarker used for diagnosis or early detection of recurrence for renal cell carcinoma (RCC) patients. MicroRNAs (miRNAs) are abundant and highly stable in blood serum, and have been recently described as powerful circulating biomarkers in a wide range of solid cancers. Our aim was to identify miRNA signature that can distinguish the blood serum of RCC patients and matched healthy controls and validate identified miRNAs as potential biomarkers for RCC.MethodsIn the screening phase of the study, blood serum of 15 RCC patients and 12 matched healthy controls were analyzed by use of the TaqMan Low-Density Arrays enabling parallel identification of expression levels of 667 miRNAs through qRT-PCR-based approach. In the validation phase, identified miRNAs were further evaluated on the independent group of 90 RCC patients and 35 matched healthy controls by use of individual qRT-PCR assays and statistically evaluated.ResultsWe identified 30 miRNAs differentially expressed between serum of RCC patients and healthy controls: 19 miRNAs were up-regulated and 11 miRNAs were down-regulated in RCC patients. MiR-378, miR-451 and miR-150 were further evaluated in the independent group of patients, and two of them were successfully validated: levels of miR-378 were increased (p = 0.0003, AUC = 0.71), miR-451 levels were decreased (p < 0.0001, AUC = 0.77) in serum of RCC patients. Combination of miR-378 and miR-451 enable identification of RCC serum with the sensitivity of 81%, specificity 83% and AUC = 0.86.ConclusionsCirculating miRNAs in serum are promising biomarkers in RCC.

MicroRNAs are endogenously expressed regulatory noncoding RNAs. Previous studies showed altered expression levels of several microRNAs in glioblastomas. In this study, we examined the expression levels of selected microRNAs in 22 primary glioblastomas and six specimens of adult brain tissue by real-time PCR method. In addition, we examined methylation status of MGMT promoter by methylation-specific real-time PCR, as this has been shown to be a predictive marker in glioblastomas. MGMT methylation status was not correlated with response to concomitant chemoradiotherapy with temozolomide (RT/TMZ). MiR-221 (p=0,016), miR-222 (p=0,038), miR-181b (p=0,036), miR-181c (p=0,043) and miR-128a (p=0,001) were significantly down-regulated in glioblastomas. The most significant change was observed for up-regulation in miR-21 expression in glioblastomas (p<0,001). MiR-181b and miR-181c were significantly down-regulated in patients who responded to RT/TMZ (p=0,016; p=0,047, respectively) in comparison to patients with progredient disease. Our data indicate for the first time that expression levels of miR-181b and miR-181c could serve as a predictive marker of response to RT/TMZ therapy in glioblastoma patients.

Glioblastoma multiforme (GBM) is the most frequently occurring primary malignant brain tumor; patients with GBM often have a very poor prognosis and differing responses to treatment. Therefore, it is very important to find new biomarkers that can predict clinical outcomes and help in treatment decisions. MicroRNAs are small, non-coding RNAs that function as post-transcriptional regulators of gene expression and play a key role in the pathogenesis of GBM. In a group of 38 patients with primary GBM, we analyzed the expression of eight microRNAs (miR-21, miR-128a, miR-181c, miR-195, miR-196a, miR-196b, miR-221, and miR-222). In addition, we examined the methylation status of O-6-methylguanine-DNA methyltransferase (MGMT) promoter by high-resolution melting analysis, as this has been shown to be a predictive marker in GBM. MGMT methylation status correlated with progression-free survival (P = 0.0201; log-rank test) as well as with overall survival (P = 0.0054; log-rank test). MiR-195 (P = 0.0124; log-rank test) and miR-196b (P = 0.0492; log-rank test) positively correlated with overall survival. Evaluation of miR-181c in combination with miR-21 predicted time to progression within 6 months of diagnosis with 92% sensitivity and 81% specificity (P < 0.0001). Our data confirmed that the methylation status of MGMT but also miR-21, miR-181c, miR-195, and miR-196b to be associated with survival of GBM patients. Above all, we suggest that the combination of miR181c and miR-21 could be a very sensitive and specific test to identify patients at high risk of early progression after surgery. (Cancer Sci 2011; 102: 2186-2190 G lioblastoma multiforme (GBM) is the most frequently occurring primary malignant brain tumor of astrocytic origin.(1)Despite the introduction of modern therapeutic approaches, this cancer remains generally associated with very poor prognosis.(2) A significant benefit of overall survival (OS) has been achieved in patients treated with concomitant chemoradiotherapy with temozolomide (RT ⁄ TMZ), an alkylating agent. However, not all patients are sensitive to this therapy. (3,4) Because of an extremely short median survival time of glioblastoma patients and diversity in therapy response, it is very important to identify new biomarkers that can be used in prognosis and prediction of therapeutic response and ⁄ or clinical outcome in GBM patients in order to rationalize treatment decisions.MicroRNAs (miRNAs) are highly conserved, small, non-coding RNAs, 18-25 nucleotides in length, that function as posttranscriptional regulators of gene expression by silencing their mRNA targets. Bioinformatics tools estimate that miRNAs regulate up to one-third of human genes including a significant number of oncogenes, tumor suppressor genes, and genes associated with the invasion, dissemination, and chemoresistance of tumors.(5) Therefore, these molecules play significant roles in the pathogenesis of many cancers, including GBM. (6,7) In the context of this tumor, recent published reports have proposed that some miRNAs tha...

The benefits of aflibercept in combination with FOLFIRI in patients with mCRC previously treated with oxaliplatin were maintained across the specified patient subgroups, including in patients with or without prior bevacizumab treatment.

BackgroundMicroRNAs are endogenously expressed regulatory noncoding RNAs. Previous studies have shown altered expression levels of several microRNAs in renal cell carcinoma.MethodsWe examined the expression levels of selected microRNAs in 38 samples of conventional renal cell carcinoma (RCC) and 10 samples of non-tumoral renal parenchyma using TaqMan real-time PCR method.ResultsThe expression levels of miRNA-155 (p < 0.0001), miRNA-210 (p < 0.0001), miRNA-106a (p < 0.0001) and miRNA-106b (p < 0.0001) were significantly over-expressed in tumor tissue, whereas the expression of miRNA-141 (p < 0.0001) and miRNA-200c (p < 0.0001) were significantly decreased in RCC samples. There were no significant differences between expression levels of miRNA-182 and miRNA-200b in tumor samples and renal parenchyma. Our data suggest that expression levels of miRNA-106b are significantly lower in tumors of patients who developed metastasis (p = 0.030) and miR-106b is a potential predictive marker of early metastasis after nephrectomy in RCC patients (long-rank p = 0.032).ConclusionsWe have confirmed previous observations obtained by miRNA microarray analysis using standardized real-time PCR method. For the first time, we have identified a prognostic significance of miRNA-106b, which, after validation on a larger group of patients, maybe useful as a promising biomarker in patients with RCC.

Renal cell carcinoma (RCC) is the most common neoplasm of adult kidney. One of the important unmet medical needs in RCC is prognostic biomarker enabling identification of patients at high risk of relapse after nephrectomy. MicroRNAs (miRNAs) constitute a robust regulatory network with posttranscriptional regulatory efficiency for almost one-half of human coding genes, including oncogenes and tumor suppressors. To identify potential prognostic miRNAs, we analyzed expression profiles in tumors of different prognostic groups of RCC patients. Seventy-seven patients with clear cell RCC and detailed clinicopathological data were enrolled in a single-center study. Global miRNA expression profiles were obtained by use of TaqMan Low Density Arrays (754 parallel quantitative reverse-transcriptase polymerase chain reactions (qRT-PCR) reactions). For validation of identified miRNAs individual miRNA TaqMan assays were performed in an independent group of patients. We identified tumor relapse-signature based on the expression of 64 miRNAs differentially expressed between relapse-free RCC patients and RCC patients who developed relapse (20 miRNAs were increased, 44 miRNAs were decreased). In the validation phase of the study, we successfully confirmed that expression levels of miR-143, miR-26a, miR-145, miR-10b, miR-195, and miR-126 are lower in the tumors of RCC patients who developed tumor relapse, moreover, the lowest levels of these miRNAs we observed in primary metastatic tumors. By using Kaplan-Meier analysis, we identified that miR-127-3p, miR-145, and miR-126 are significantly correlated with relapse-free survival of nonmetastatic RCC patients. If further validated, we suggest that identified miRNAs might be used for identification of RCC patients at high risk of early relapse after nephrectomy in clinical practice.

The role of nonclassical human leukocyte antigens G and E (HLA-G and HLA-E) was originally thought to be restricted to the protection of the fetus from a maternal allorecognition. Now it is known that HLA-G and HLA-E exert multiple immunoregulatory functions. A prognostic significance of the expression of HLA-G and HLA-E by neoplastic cells in glioblastoma is not well characterized. In this study, we evaluated the expression of HLA-G and HLA-E by neoplastic cells in 39 cases of glioblastoma. We found the production of HLA-G and HLA in a majority of cases. There was an unexpected positive correlation between the expression of HLA-E and length of survival. We speculate that the expression of this molecule by neoplastic cells may represent a coincidental selective pro-host advantage related to better response to subsequent therapeutic modalities. Mechanisms of glioblastoma cell pathophysiology and mechanisms of responses to therapeutic interventions in respect to the expression of these molecules deserves further study.