Inflammation and Immunity Gene Expression Patterns and Machine Learning Approaches in Association with Response to Immune-Checkpoint Inhibitors-Based Treatments in Clear-Cell Renal Carcinoma.

Clear cell renal cell carcinoma (ccRCC) is the most common renal cancer. Despite the rapid evolution of targeted therapies, immunotherapy with checkpoint inhibition (ICI) as well as combination therapies, the cure of metastatic ccRCC (mccRCC) is infrequent, while the optimal use of the various novel agents has not been fully clarified. With the different treatment options, there is an essential need to identify biomarkers to predict therapeutic efficacy and thus optimize therapeutic approaches. This study seeks to explore the diversity in mRNA expression profiles of inflammation and immunity-related circulating genes for the development of biomarkers that could predict the effectiveness of immunotherapy-based treatments using ICIs for individuals with mccRCC. Gene mRNA expression was tested by the RT2 profiler PCR Array on a human cancer inflammation and immunity crosstalk kit and analyzed for differential gene expression along with a machine learning approach for sample classification. A number of mRNAs were found to be differentially expressed in mccRCC with a clinical benefit from treatment compared to those who progressed. Our results indicate that gene expression can classify these samples with high accuracy and specificity.

The Role of HIF1-related Genes and Non-coding RNAs Expression in Clear Cell Renal Cell Carcinoma.

BACKGROUND/AIM: Renal cell carcinoma is one of the three most common malignant urologic tumors, with clear cell renal cell carcinoma (ccRCC) representing its most common subtype. Although nephrectomy can radically cure the disease, a large percentage of patients is diagnosed when metastatic sites are present and thus alternative, pharmaceutical approaches need to be sought. Since HIF1 up-regulates the transcription of genes that range from metabolic enzymes to non-coding RNAs, and is a key molecule of ccRCC pathogenesis, this study aimed to investigate the expression ALDOA, SOX-6, and non-coding RNAs (mir-122, mir-1271, and MALAT-1) in samples from ccRCC patients. PATIENTS AND METHODS: Tumor and adjacent normal tissue samples from 14 patients with ccRCC were harvested. Expression of ALDOA, mir-122, mir-1271, and MALAT-1 mRNA was estimated using real time PCR, whereas the expression of SOX-6 protein was investigated using immunohistochemistry. RESULTS: Up-regulation of HIF1 was observed, accompanied with up-regulation of ALDOA, MALAT-1, and mir-122. On the contrary, the expression of mir-1271 was found to be reduced, a finding that can be attributed to a potential MALAT-1 sponge function. Furthermore, SOX-6 protein levels (a transcription factor with tumor suppressing properties) were also reduced. CONCLUSION: The observed dysregulated expression levels highlight the importance of ALDOA, MALAT-1, mir-122, mir-1271, and SOX-6, which remain less studied than the known and well-studied HIF1 pathways of VEGF, TGF-α, and EPO. Furthermore, inhibition of the up-regulated ALDOA, mir-122, and MALAT-1 could be of therapeutic interest for selected ccRCC patients.

An Overview of Epigenetics in Clear Cell Renal Cell Carcinoma.

Renal cell carcinoma (RCC) represents a heterogenous group of cancers with complex genetic background and histological varieties, which require various clinical therapies. Clear cell RCC represents the most common form of RCC that accounts for 3 out of 4 RCC cases. Screening methods for RCC lack sensitivity and specificity, and thus biomarkers that will allow early diagnosis are crucial. The impact of epigenetics in the development and progression of cancer, including RCC, is significant. Noncoding RNAs, histone modifications and DNA methylation represent fundamental epigenetic mechanisms and have been proved to be promising biomarkers. MicroRNAs have advantageous properties that facilitate early diagnosis of RCC, while their expression profiles have been assessed in renal cancer samples (tissue, blood, and urine). Current literature reports the up-regulation of mir122, mir1271 and mir15b in RCC specimens, which induces cell proliferation via FOXP-1 and PTEN genes. However, it should be noted that conflicting results are found in urine and serum patient samples. Moreover, promoters of at least 200 genes are methylated in renal cancers leading to epigenetic dysregulation. In this review, we analyze the vast plethora of studies that have evaluated the role of epigenetic mechanisms in RCC patients and their clinical importance.

Nanoparticle-Mediated Hyperthermia and Cytotoxicity Mechanisms in Cancer.

Hyperthermia has the potential to damage cancerous tissue by increasing the body temperature. However, targeting cancer cells whilst protecting the surrounding tissues is often challenging, especially when implemented in clinical practice. In this direction, there are data showing that the combination of nanotechnology and hyperthermia offers more successful penetration of nanoparticles in the tumor environment, thus allowing targeted hyperthermia in the region of interest. At the same time, unlike radiotherapy, the use of non-ionizing radiation makes hyperthermia an attractive therapeutic option. This review summarizes the existing literature regarding the use of hyperthermia and nanoparticles in cancer, with a focus on nanoparticle-induced cytotoxicity mechanisms.