Molecular characteristics and markers of advanced clear cell renal cell carcinoma: Pitfalls due to intratumoral heterogeneity and identification of genetic alterations associated with metastasis

Comprehensive analysis of signaling lymphocyte activation molecule family as a prognostic biomarker and correlation with immune infiltration in clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is a common type of kidney cancer and accounts for 2-3% of all cancer cases. Furthermore, a growing number of immunotherapy approaches are being used in antitumor treatment. Signaling lymphocyte activation molecule family (SLAMF) members have been well studied in several cancers, whereas their roles in ccRCC have not been investigated. The present study comprehensively assessed the molecular mechanisms of SLAMF members in ccRCC, performed using The Cancer Genome Atlas database, with analysis of gene transcription, prognosis, biological function, clinical features, tumor-associated immune cells and the correlation with programmed cell death protein 1/programmed death-ligand 1 immune checkpoints. Simultaneously, the Tumor Immune Dysfunction and Exclusion algorithm was used to predict the efficacy of immune checkpoint blockade (ICB) therapy in patients with high and low SLAMF expression levels. The results demonstrated that all SLAMF members were highly expressed in ccRCC, and patients with high expression levels of SLAMF1, 4, 7 and 8 had a worse prognosis that those with low expression. SLAMF members were not only highly associated with immune activation but also with immunosuppressive agents. The level of immune cell infiltration was associated with the prognosis of patients with ccRCC with high SLAMF expression. Moreover, high ICB response rates were observed in patients with high expression levels of SMALF1 and 4. In summary, SLAMF members may serve as future potential biomarkers for predicting the prognosis of ccRCC and emerge as a novel immunotherapy target.

A missense SNP in the tumor suppressor SETD2 reduces H3K36me3 and mitotic spindle integrity in Drosophila

Mutations in SETD2 are among the most prevalent drivers of renal cell carcinoma (RCC). We identified a novel single nucleotide polymorphism (SNP) in SETD2, E902Q, within a subset of RCC patients, which manifests as both an inherited or tumor-associated somatic mutation. To determine if the SNP is biologically functional, we used CRISPR-based genome editing to generate the orthologous mutation within the Drosophila melanogaster Set2 gene. In Drosophila, the homologous amino acid substitution, E741Q, reduces H3K36me3 levels comparable to Set2 knockdown, and this loss is rescued by reintroduction of a wild-type Set2 transgene. We similarly uncovered significant defects in spindle morphogenesis, consistent with the established role of SETD2 in methylating α-Tubulin during mitosis to regulate microtubule dynamics and maintain genome stability. These data indicate the Set2 E741Q SNP affects both histone methylation and spindle integrity. Moreover, this work further suggests the SETD2 E902Q SNP may hold clinical relevance.

Construction and validation of an m6A RNA methylation regulator prognostic model for early-stage clear cell renal cell carcinoma

N6-methyladenosine (m6A) is the most common type of RNA methylation and is considered to participate in various biological and pathological processes, specifically in the regulation of tumorigenesis and metastasis. However, the exact prognostic role of m6A methylation regulators in early-stage clear cell renal cell carcinoma (ccRCC) is currently unknown. In the present study, a prognostic model consisting of m6A RNA methylation regulators in early stage ccRCC was constructed and the reliability of the signature was assessed by proteomics and immunohistochemistry. Additionally, the relationship between the prognostic model and tumor infiltrating immune cells within the tumor microenvironment was investigated. Gene mutation and RNA sequencing data of 19 m6A methylation regulators for early-stage ccRCC patients were extracted from The Cancer Genome Atlas (TCGA) database with the corresponding clinical information. Univariate and multivariate Cox regression analysis were applied to construct a prognostic model and the proteomic data as well as immunohistochemistry were used to validate the result. The correlations between the prognostic model and tumor infiltrating immune cells were assessed using Spearman's rank correlation analysis. A total of 192 early stage ccRCC gene mutation data as well as 261 RNA sequencing data with relative clinical data were extracted from the TCGA. The overall mutation frequency of the 19 m6A RNA methylation regulators was relatively low with 4.69%. The transcriptome data revealed that 11 genes were differentially expressed between cancer tissues and relatively normal tissues. Survival analysis highlighted four specific genes as having a significant influence on overall survival. An established model with four genes demonstrated the best predictability for early-stage ccRCC. After integrating clinical characteristics into the multivariate analysis, the model remained effective at predicting ccRCC prognosis. Spearman's rank analysis suggested several tumor infiltrating immune cells such as dendric cells, CD4⁺ cells, CD8⁺ T cells and macrophages were significantly correlated with the model. Proteomic data analysis as well as immunohistochemistry from the Human Protein Atlas showed that all the genes used to construct the model were differentially expressed between ccRCC and normal tissues. In conclusion, a novel m6A methylation regulators-based prognostic signature was established and validated with proteomics and immunohistochemistry. In addition, the model was significantly correlated with multiple infiltrating immune cells in tumor microenvironment.

External validation of the REMARCC model for the selection of cytoreductive nephrectomy in patients with primary metastatic renal cell carcinoma: A multicenter retrospective study

OBJECTIVES

This study aims to evaluate the utility of the scoring system of the Registry for Metastatic Renal Cell Carcinoma (REMARCC) model on the overall survival (OS) of patients undergoing cytoreductive nephrectomy (CN).

METHODS

A total of 278 patients with primary metastatic renal cell carcinoma (mRCC) treated with first-line tyrosine kinase inhibitors (TKIs) between January 2008 and November 2019 were identified. The c-index and net benefit between the REMARCC score were compared with the International mRCC Database Consortium (IMDC) score in patients with CN (CN group, n = 146). The effect of the REMARCC score on OS was compared between the CN group and patients without CN (non-CN group, n = 132) using Cox regression analysis under the propensity score-based inverse probability of treatment weighting (IPTW) method to adjust for group imbalances.

RESULTS

Of the 146 patients with CN, the c-index of the REMARCC model (0.60) was higher than the IMDC model (0.54). The decision curve analysis showed the advantage of REMARCC model predicting OS compared with the IMDC model. OS was significantly longer in the REMARCC low-score (0-2) than that in the high-score (3-6) among the patients with CN. IPTW-adjusted Cox regression analyses showed that OS was significantly longer in the CN group than that in the non-CN group among the patients with REMARCC low-score but was not significantly different between the groups among the patients with REMARCC high-score.

CONCLUSIONS

The REMARCC score may be active for selecting the CN candidate in patients treated with TKIs.

Role of SIRT1/AMPK signaling in the proliferation, migration and invasion of renal cell carcinoma cells

Renal cell carcinoma (RCC) is a lethal urologic tumor commonly seen in men that best responds to partial nephrectomy. An enhanced understanding of the molecular pathogenesis of RCC can broaden treatment options and tumor prevention strategies. Sirtuin 1 (SIRT1) is a NAD+-dependent deacetylase that regulates several bioactive substances, and the present study aimed to identify the role of SIRT1/AMP-activated protein kinase (AMPK) signaling in RCC progression. SIRT1 expression was detected in 100 patients with RCC using tissue microarray immunohistochemistry. SIRT1-knockdown and overexpression were performed via RNA interference and plasmid transfection. Inhibition of AMPK was used for the phenotypic rescue assays to verify whether AMPK was a downstream target of SIRT1. Reverse transcription-quantitative PCR was performed to verify transfection efficiency. Transwell, MTT and flow cytometry apoptosis assays were performed to evaluate the migration, invasion, proliferation and early apoptosis level of RCC cells. SIRT1 and AMPK protein expression in human RCC tissues and cell lines (786-O and ACHN) was detected using western blotting and immunofluorescence staining. The current results, combined with data from The Cancer Genome Atlas database, revealed that SIRT1 expression in RCC tissues was downregulated compared with in adjacent normal tissues. Additionally, high SIRT1 expression was associated with an improved prognosis in patients with RCC. Overexpression of SIRT1 inhibited the proliferation, migration and invasion of RCC cell lines and induced apoptosis, while inhibition of SIRT1 expression had the opposite effects. Further experiments indicated that SIRT1 may serve an anticancer role by upregulating the expression levels of downstream AMPK, thus revealing a potential therapeutic target for RCC.