Immunobiochemical profile of clear cell renal cell carcinoma (ccRCC): A preliminary study.

Clear cell renal cell carcinoma (ccRCC) is the most common variant of RCC. It is an aggressive disease with an unfavorable prognosis. The rich immune infiltrates present in the tumor microenvironment (TME) of ccRCC produce various signaling molecules, especially cytokines, which primarily activate the Jak/STAT pathway and significantly influence tumor pathogenesis. STAT3 has a well-defined oncogenic character. Using multiplex assays and ELISA, we have measured the concentrations of 27 cytokines and STAT3 in tumor and healthy renal tissue from 16 patients with histologically verified ccRCC. We have detected significantly higher levels of G-CSF, IL-6, CXCL10, CCL3, and CCL4 in tumor tissue than in their healthy counterparts. There were significant differences in the levels of IL-1ß and PDGF-BB between tumors of different nuclear grades (NG). Intratumoral IL-12p70 and IL-15 showed a significant positive correlation with intratumoral STAT3. The concentration of STAT3 in tumors was significantly lower than in the kidney. An increase in tumor STAT3 levels was associated with an increase in the pathological stage of the disease (TNM), but not with NG. The results of our study confirm the significant role of various cytokines and STAT3 in the pathogenesis of ccRCC and indicate their clinical relevance.

Cytokines in Renal Cell Carcinoma: A Step Towards Earlier Detection and Targeted Therapy.

Symptoms of renal cell carcinoma (RCC) have typically late onset and correlate with its advanced stage. No biomarkers of RCC are currently available. The present study analyzed the immuno-biochemical profile of RCC by measuring the levels of cytokines engaged in RCC pathophysiology. Cytokines were examined by capture sandwich immunoassays in tumor tissue and urine. Specimens of cancer and nearby healthy kidney tissues were obtained during nephrectomy from 60 RCC patients. The urine was obtained from both patients and healthy subjects. The findings in RCC tumor tissue compared to healthy renal tissues were following: (i) increases in interleukin-15 (IL-15), vascular endothelial growth factor (VEGF), interferon gamma-induced protein-10 (IP-10), macrophage inflammatory protein-1ß (MIP-1ß), monocyte chemoattractant protein-1 (MCP-1), and eotaxin, with VEGF, IP-10, and MIP-1ß significantly associated with the histologic tumor nuclear grading (NG); (ii) increases in platelet-derived growth factor (PDGF), IL-15, MIP-1ß, eotaxin, and MCP-1 in urine, with significant associations noticed between cytokines and disease stages for eotaxin and MCP-1; and (iii) decreases in PDGF, IL-15, MCP-1, VEGF, MIP-1ß, and eotaxin in urine from six patients on the third day after nephrectomy. We conclude that cytokines may play a critical role in the local pathogenesis of RCC, which opens the way for potential targeting of these molecules in novel therapies and their use as biomarkers for early noninvasive detection of RCC.

Immune analysis of urine and plasma samples from patients with clear cell renal cell carcinoma.

Clear cell renal cell carcinoma (ccRCC) is the third most common type of urological malignancy worldwide, and it is associated with a silent progression and late manifestation. Patients with a metastatic form of ccRCC have a poor prognosis; however, when the disease is diagnosed early, it is largely curable. Currently, there are no biomarkers available in clinical practice for ccRCC. Thus, the aim of the present study was to measure 27 biologically relevant cytokines in preoperative and postoperative urine samples, and in preoperative plasma samples from 34 patients with ccRCC, and to evaluate their diagnostic significance. The concentrations of cytokines were assessed by multiplex immune assay. The results showed significantly higher levels of IL-1 receptor antagonist, IL-6, IL-15, chemokine (C-C motif) ligand (CCL)2, CCL3, CCL4, C-X-C motif ligand (CXCL)10, granulocyte-macrophage colony stimulating factor (GM-CSF) and platelet-derived growth factor-BB (PDGF-BB), and lower levels of granulocyte colony stimulating factor (G-CSF) in urine samples from patients prior to surgery compared with those in the controls. Notably, the urine levels of G-CSF, IL-5 and vascular endothelial growth factor differed following tumor removal compared with the preoperative urine levels. In addition, urinary G-CSF, GM-CSF, IL-6, CXCL10, CCL5 and PDGF-BB appeared to be potential markers of tumor grade. Plasma from patients with ccRCC contained significantly higher levels of IL-6 and lower levels of CCL2 than control plasma. In conclusion, the present findings indicated that urinary and circulating cytokines may represent a promising novel tool for the early diagnosis of ccRCC and/or prediction of tumor grade.

Analysis of HIF-1α expression and genetic polymorphisms in human clear cell renal cell carcinoma.

Introduction: Clear cell renal cell carcinoma (ccRCC) is mostly diagnosed incidentally and has relatively high recurrence rates. Alterations in VHL/HIF and mTOR pathways are commonly present in ccRCC. The present study attempted to identify potential diagnostic markers at the biochemical and molecular level. Methods: In total, 54 subjects (36 patients with ccRCC and 18 cancer-free controls) were enrolled. ELISA was used to measure the levels of HIF-1α in the tumor and healthy kidney tissue. The association between five selected SNPs (rs779805, rs11549465, rs2057482, rs2295080 and rs701848) located in genes of pathologically relevant pathways (VHL/HIF and mTOR) and the risk of ccRCC in the Slovak cohort was studied using real-time PCR. Results: Significant differences in HIF-1α tissue levels were observed between the tumor and healthy kidney tissue (p < 0.001). In the majority (69%) of cases, the levels of HIF-1α were higher in the kidney than in the tumor. Furthermore, the concentration of HIF-1α in the tumor showed a significant positive correlation with CCL3 and IL-1ß (p (R2) 0.007 (0.47); p (R2) 0.011 (0.38). No relationship between intratumoral levels of HIF-1α and clinical tumor characteristics was observed. Rs11549465, rs2057482 in the HIF1A gene did not correlate with the expression of HIF-1α either in the tumor or in the normal kidney. None of the selected SNPs has influenced the susceptibility to ccRCC. Conclusion: More research is neccesary to elucidate the role of HIF-1α in the pathogenesis of ccRCC and the association between selected SNPs and susceptibility to this cancer.

Predictive accuracy of the breast cancer genetic risk model based on eight common genetic variants: The BACkSIDE study.

Breast cancer (BC) development is caused by the interaction of environmental and genetic factors. At least 90 susceptible genetic variants with different population penetration and incidence have been associated with BC. This paper therefore analysed the individual discrimination power of 8 low penetrant common genetic variants and calculated the predictive accuracy of the genetic risk model. The study enrolled 171 women with developed breast cancer (57.06 ± 11.60 years) and 146 control subjects (50.24 ± 10.69 years). The genotyping was performed by high resolution melting method (HRM) and confirmed by Sanger sequencing, and the Random Forest algorithm provided the ROC curve with AUC values. Significant association with BC was confirmed in 2 SNPs: rs2981582 FGFR2 and rs889312 MAP3K1, and the odds ratios of homozygotes with two risk alleles in both SNP's were higher than in heterozygotes with one mutant allele, as follows: FGFR2 TT: 1.953 (95%CI 1.014-3.834, p = 0.049), CT 1.771 (95%CI 1.088-2.899, p = 0.026) and MAP3K1 CC 2.894 (95%CI 1.028-9.566, p = 0.048), AC 1.760 (95%CI 1.108-2.813, p = 0.019). FGFR2 had the best discrimination ability, followed by MAP3K1 and CASP8. Discriminative accuracy of the genetic risk model distinguishing the breast cancer patients and controls explained by AUC was 0.728, with 70.6% sensitivity and 65.1% specificity. Our study results therefore confirmed polygenic breast cancer inheritance with important involvement of FGFR2, MAP3K1, LSP1 and CASP8 gene variants.