Assessment of the prognostic value of SPOCK1 in clear cell renal cell carcinoma: a bioinformatics analysis

BackgroundClear cell renal cell carcinoma (ccRCC) is one of the most common urological malignancies, and once metastasis occurs, it often has a poor prognosis and lacks effective treatment. Therefore, there is an urgent need to screen some new biomarkers and explore their molecular mechanisms to improve the early clinical diagnosis and targeted therapy of ccRCC. SPOCK1 (SPARC/osteonectin, CWCV and Kazal-like domains proteoglycan 1) is a conserved multi-domain proteoglycan that plays an important role in the development of multiple cancer types; however, its prognostic value in ccRCC has not been investigated. The study of the prognostic value of SPOCK1 in ccRCC is a good complement to the study of ccRCC biomarkers.MethodsDatabases of this study included Oncomine, Kaplan-Meier Plotter, GEPIA, GeneMANIA, cBioPortal, and TIMER. Student’s t-test was used to analyze the differences in SPOCK1 expression in ccRCC tissues compared with tumor-adjacent normal tissues. Kaplan-Meier curves for survival analysis were used to assess the correlation between the expression of SPOCK1 and the prognostic outcomes. Correlation module drew the expression scatterplots between SPOCK1 and immune cell infiltration in ccRCC, together with the Spearman’s rho value and estimated statistical significance.ResultsThe SPOCK1 mRNA expression was significantly higher in ccRCC tissues (mean expression ± SD: 920.2±195.2) than in normal tissues (mean expression ± SD: 358.4±29.1, P=0.008), and high SPOCK1 expression significantly and positively correlated with the pathological stage of ccRCC patients (F value =10.2, P<0.001). Higher expression of SPOCK1 was also associated with significantly shorter overall survival (OS) and disease-free survival (DFS) in ccRCC patients (GEPIA: P=0.046, P<0.001, respectively; Kaplan-Meier Plotter: P=0.002, P=0.0022, respectively). The function of SPOCK1 is mainly related to tumor development and extracellular matrix remodeling, and it may participate in the epithelial-mesenchymal transition process. SPOCK1 expression significantly and positively correlated with infiltration of several immune cells in ccRCC, including cancer-associated fibroblasts (CAFs) (Rho =0.333, P=2.16×10⁻¹³), tumor-associated macrophages (TAMs) (Rho =0.18, P=1.02×10⁻⁴), and tumor-associated neutrophils (TANs) (Rho =0.165, P=3.83×10⁻⁴). Conversely, there was a significant and negative correlation between SPOCK1 expression and infiltration of CD4⁺ T cells (Rho =−0.113, P=0.015).ConclusionsSPOCK1 may be a potential prognostic biomarker in ccRCC.     

Natural history and growth kinetics of clear cell renal cell carcinoma in sporadic and von Hippel-Lindau disease

BackgroundTo evaluate and compare the natural history and growth kinetics of sporadic clear cell renal cell carcinoma (ccRCC) with those of ccRCC in von Hippel-Lindau disease (VHL).MethodsSixty patients in the sporadic group with 61 tumors and 15 patients in the VHL group with 30 tumors whom all underwent delayed surgery after at least 12 months of active surveillance (AS) were enrolled to conduct a retrospective cohort study. The growth rate was calculated, and the growth kinetics between the sporadic and VHL groups were compared. The patient and tumor characteristics were reviewed, and their correlation with growth rate was analyzed.ResultsThe mean growth rate of sporadic ccRCC was 0.91 cm/year (ranging from 0–4.74 cm/year) and that of VHL ccRCC was 0.47 cm/year (ranging from 0.04–1.89 cm/year). The growth rate of sporadic ccRCC showed a tendency of being faster than that of VHL ccRCC but did not reach statistical significance (P=0.07). The factors affecting the growth rate were different between the two groups. For VHL ccRCC, the only factor that correlated with growth rate was initial tumor diameter (P<0.001), but for sporadic ccRCC, the only factor was pathological nuclear grade (P<0.001).ConclusionsThe growth rate of VHL-associated ccRCC might be slower than that of sporadic ccRCC. Furthermore, we identified a disparity in growth kinetics between sporadic and VHL-associated ccRCC.     

Development and validation of the prognostic value of the immune-related genes in clear cell renal cell carcinoma

BackgroundClear cell renal cell carcinoma (ccRCC) is a highly heterogeneous tumor, resulting a challenge of developing target therapeutics. Not long ago, immune checkpoint blockade regimens combine with tyrosin kinase inhibitors have evolved frontline options in metastatic RCC, which implies arrival of the era of tumor immunotherapy. Studies have demonstrated immune-related genes (IRGs) could characterize tumor milieu and related to patient survival. Nevertheless, the clinical significance of classifier depending on IRGs in ccRCC has not been well established.MethodsThe R package limma, univariate and LASSO cox regression analysis were used to screen the prognostic related IRGs from TCGA database. Multivariate cox regression was utilized to establish a risk prediction model for candidate genes. Quantitative real-time PCR was used to confirm the expression of candidates in clinical samples from our institution. CIBERSORT algorithm and correlation analysis were applied to explore tumor-infiltrating immune cells signature between different risk groups. A clinical nomogram was also developed to predict OS by using the rms R package based on the risk prediction model and other independent risk factors. The ICGC data was used for external validation of either gene risk model or nomogram.ResultsWe identified 382 differentially expressed immune related genes. Four unique prognostic IRGs (CRABP2, LTB4R, PTGER1 and TEK) were finally affirmed to associate with tumor survival independently and utilized to establish the risk score model. All candidates’ expression was successfully laboratory confirmed by q-PCR. CIBERSORT analysis implied patients in unfavorable-risk group with high CD8 T cell, regulatory T cell and NK cell infiltration, as well as high expression of PD-1, CTLA4, TNFRSF9, TIGIT and LAG3. A nomogram combined IRGs risk score with age, gender, TNM stage, Fuhrman grade, necrosis was further generated to predict of 3- and 5-year OS, which exhibited superior discriminative power (AUCs were 0.811 and 0.795).ConclusionsOur study established and validated a survival prognostic model system based on 4 unique immune related genes in ccRCC, which expands knowledge in tumor immune status and provide a potent prediction tool in future.     

Clinicopathological and prognostic impact of somatic mutations in Chinese patients with clear cell renal cell carcinoma

BackgroundThe study of the genomic landscape of Chinese clear cell renal cell carcinoma (ccRCC) entered its nascence in recent years, and the clinical relevance of individual genes in Chinese ccRCC has not yet been researched. The study aimed to explore the relationships between somatic mutations and clinical behaviors in Chinese ccRCC.MethodsTumor tissue samples were obtained from 105 Chinese patients with ccRCC and deep sequencing targeting 556 cancer genes was performed. Correlation analysis, receiver operator characteristic (ROC) analysis and survival analysis were carried out using SPSS software.ResultsA total of 41 genes were used to investigate the relationship between genes and clinical behaviors. We found that different clinical indices were mutually correlated, and there were 12 genes associated with clinical indices. The Kaplan-Meier curves showed that high Fuhrman grade and metastatic disease at diagnosis were significantly associated with poor prognosis. Mutations in BAP1, PTEN, ERBB2, TP53, CDK8, TSC1, SETD2, or SPEN were significantly associated with poor prognosis, consistent with the results of The Cancer Genome Atlas (TCGA) cohort. Mutation of BTG1 occurred much more frequently in Chinese ccRCC (10.5%) than in the TCGA cohort (0.60%), and it was associated with a better prognosis.ConclusionsA total of 8 genes (BAP1, PTEN, ERBB2, TP53, CDK8, TSC1, SETD2, and SPEN) were found to be associated with poor prognosis of ccRCC, and a new gene (BTG1) was possibly associated with the good prognosis of Chinese ccRCC.     

Identification of genes that correlate clear cell renal cell carcinoma and obesity and exhibit potential prognostic value

BackgroundRenal cell carcinoma (RCC) is a common urologic malignancy. Although the relationship between clear cell RCC (ccRCC) and obesity has been well-established by several large-scale retrospective studies, the molecular mechanisms and genetic characteristics behind this correlation remains unclear. In the current study, several bioinformatics tools were used to identify the key genes in ccRCC related to obesity.MethodsMicroarray data comparing ccRCC with normal renal tissues in patients with and without obesity were downloaded from the GEO database for screening of differentially expressed genes (DEGs). The DEGs were verified with expression level and survival analysis using several online bioinformatics tools.ResultsIn the current study, the differential expression of five genes correlated with both ccRCC and obesity; IGHA1 and IGKC as oncogenes, and MAOA, MUC20 and TRPM3 as tumor suppressor genes. These genes were verified by comparing the relationship between the expression levels and survival outcomes from open-source data in The Cancer Genome Atlas (TCGA) dataset.ConclusionsIn conclusion, the five genes differentially expressed in ccRCC and obesity are related to disease progression and prognosis, and therefore could provide prognostic value for patients with ccRCC.     

Expression and clinical significance of NUF2 in kidney renal clear cell carcinoma

BackgroundTo explore the expression and clinical significance of the cytokinesis-related gene NUF2 in kidney renal clear cell carcinoma (KIRC).MethodsGene expression profiles of KIRC patients were extracted from The Cancer Genome Atlas (TCGA) database. The differences in NUF2 mRNA expression between patients and controls, as well as the relationship between the clinical characteristics and overall survival of the patients, were analyzed. The expression of NUF2 protein in 83 cancer tissues and para-cancerous tissues was detected to analyze the relationship with clinical characteristics. Gene Set Enrichment Analysis (GSEA) was used to investigate the possible regulatory pathways of the NUF2 in the development of KIRC.ResultsNUF2 mRNA was significantly higher in patients with KIRC, and the prognosis of patients with high expression of NUF2 mRNA was significantly worse than those with low expression, and was related to the AJCC stage, T stage, lymph node metastases, and distant metastases. NUF2 mRNA was an independent prognostic risk factor for KIRC patients. The expression of NUF2 protein was significantly higher in KIRC patients than in paraneoplastic tissues and was markedly associated with the pathological grade. In addition, the high expression of NUF2 was associated with the upregulation of pathways such as homologous recombination and DNA replication.ConclusionsNUF2 may act as an independent prognostic biomarker for predicting the survival of KIRC patients.     

Identification of a novel immune-related microRNA prognostic model in clear cell renal cell carcinoma

BackgroundClear cell renal cell carcinoma (ccRCC) is a type of kidney cancer, and one of the most common malignant tumors. Many studies have shown that certain microRNAs (miRNAs) play an important role in the occurrence and development of ccRCC. Nevertheless, the prognosis of ccRCC patients is very rarely based on these “immuno-miRs”. Our aim was thus to determine the relationship between immune-related miRNA signatures and ccRCC.MethodsWe downloaded the miRNA expression data from 521 KIRC and 71 normal tissues in The Cancer Genome Atlas (TCGA). We used “limma” package and univariate Cox regression analysis to identify differentially expressed miRNAs (DEMs) that related to overall survival (OS). We applied lasso and multivariate Cox regression analyses to construct a prognostic model based on immuno-miRs. We evaluated the performance of model by using the Kaplan-Meier method. Furthermore, Cox regression analysis was used to determine independent prognostic signatures in ccRCC.ResultsA total of 59 significant immuno-miRs were identified. We use univariate Cox regression analysis to acquire 18 immune-related miRNAs which were markedly related to OS of ccRCC patients in the training set. We then constructed the 9-immune-related-miRNA prognostic model (miR-21, miR-342, miR-149, miR-130b, miR-223, miR-365a, miR-9-1, and miR-146b) by using lasso and multivariate Cox regression. Further analysis suggested that the immune-related prognostic model could be an independent prognostic indicator for patients with ccRCC. The prognostic performance of the 9-immune-related-miRNA prognostic model was further validated successfully in the testing set.ConclusionsWe established a novel immune-based prognostic model of ccRCC based on potential prognostic immune-related miRNAs. Our results indicated that the 9-miRNA signature could be a practical and reliable prognostic tool for ccRCC.     

Validation of the World Health Organization/International Society of Urological Pathology grading for Chinese patients with clear cell renal cell carcinoma

BackgroundThis study aimed to compare the World Health Organization/International Society of Urological Pathology (WHO/ISUP) grading system and the Fuhrman grading system and to verify the WHO/ISUP grade as a prognostic parameter of clear cell renal cell carcinoma (ccRCC) in a Chinese population.MethodsThe study consisted of 753 ccRCC patients treated with curative surgery between 2010 and 2018 at Xiangya Hospital Central South University (Changsha, China). All pathologic data were retrospectively reviewed by two pathologists. Cancer-specific survival (CSS) and recurrence-free survival (RFS) were examined as clinical outcomes.ResultsAccording to the WHO/ISUP grading system (ISUP group), nephrectomy type, pT stage and WHO/ISUP grade were independent risk factors for CSS (P<0.0001, P=0.0127 and P<0.0001, respectively) and RFS (P<0.0001, P=0.0077, and P<0.0001, respectively). In the Fuhrman group, nephrectomy type, pT stage and Fuhrman grade were independent risk factors for CSS (P<0.0001, P=0.0004, and P<0.0001, respectively) and RFS (P<0.0001, P=0.0001, and P<0.0001, respectively). The C-index for CSS and RFS using the Fuhrman grading system was 0.6323 and 0.6342, respectively, and that using the WHO/ISUP grading system was 0.6983 and 0.7005, respectively, both higher than the former (P=0.0185, and P=0.0172, respectively). In addition, upgrading from Fuhrman grade 2 to ISUP grade 3 resulted in worse CSS and RFS for ccRCC patients (P=0.0033 and P =0.0003, respectively).ConclusionsWe first verified correlations between the postoperative prognosis and WHO/ISUP grade of ccRCC in a Chinese population and confirmed that the ability to predict clinical outcomes with the WHO/ISUP grading system was superior to that with the Fuhrman grading system.     

5t4在肾透明细胞癌中的表达及意义

目的探讨滋养层糖蛋白5t4在肾透明细胞癌中的表达及其意义。方法采用免疫组织化学技术检测72例肾透明细胞癌组织标本、17例癌旁肾组织以及14例非癌因素的肾脏组织标本中5t4的表达,并对5t4在肾透明细胞癌的表达与组织学分级的关系进行分析。结果 5t4在肾细胞癌组织中的阳性率为70.8%,癌旁肾组织中的阳性率为41.2%,两者具有差异性(P0.05)。5t4在肾癌组织学分级中低分级与高分级的表达存在显著差异(P0.01)。结论 5t4可作为判断肾透明细胞癌分化程度的标志物。     

C3, C3AR1, HLA-DRA,and HLA-E as potential prognostic biomarkers for renal clear cell carcinoma

BackgroundPrognostic biomarkers play a vital role in the early detection of the cancer and assessment of prognosis. With advances in technology, a large number of biomarkers of kidney renal clear cell carcinoma (KIRC) have been discovered, but their prognostic value has not been fully investigated, and thus have not been widely used in clinical practice. We aimed to identify the reliable markers associated with the prognosis of KIRC patients.MethodsWe obtained 72 normal samples and 539 tumor samples from The Cancer Genome Atlas (TCGA), and 23 normal samples and 32 tumor samples from the Gene Expression Omnibus (GEO). Overlapping differentially expressed genes (ODEGs) were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, followed by construction of a protein-protein interaction (PPI) network to screen hub genes. Kaplan-Meier analysis, univariate Cox analysis, multivariate Cox analysis, Wilcoxon signed-rank test, Kruskal-Wallis test, and gene set enrichment analysis (GSEA) were performed to verify the prognostic value and function of the markers we selected. The relationships among gene expression level, tumor immune cell infiltration, and immune-checkpoints were also analyzed.ResultsA total of 910 genes were screened out, and C3, C3AR1, HLA-DRA, and HLA-E were identified as potential tumor markers. The expression of each gene was closely associated with tumor immune cell infiltration, survival rate, and the patients’ clinical characteristics (P<0.05). C3AR1, HLA-DRA, and HLA-E were also verified as independent prognostic factors of KIRC (P<0.05), and all these potential biomarkers had a close correlation with immune checkpoints.ConclusionsC3, C3AR1, HLA-DRA, and HLA-E could be reliable biomarkers of KIRC and may have a significant contribution to make in immunotherapy, thus playing an important role in the improvement of prognosis.     

长链非编码 RNA MIAT 在肾透明细胞癌中的表达情况和预后意义

目的 探讨长链非编码RNAMIAT在肾透明细胞癌中的表达情况及与患者临床指标的相关性,分析其作为肾透明细胞癌分子标记物的可能性。方法 通过荧光定量PCR方法 检测MIAT在40例肾透明细胞癌组织和40例癌旁正常组织中的表达情况,同时结合TCGA数据库分析MIAT表达水平与肾透明细胞癌患者临床指标和预后的关系。结果 MIAT在肾透明细胞癌组织中的表达明显高于癌旁正常组织,在肾癌细胞系中的表达明显高于正常肾小管上皮细胞,差异均具有统计学意义（P<0.05）。TCGA数据库资料分析表明,MIAT表达水平与肾癌患者T分期（P<0.001）、M分期呈正相关（P<0.05）。Kaplan-Meier生存分析表明,高表达MIAT的肾癌患者总体生存时间明显低于低表达MIAT的肾癌患者（Log-rankP<0.05）。结论 MIAT在肾透明细胞癌组织和肾癌细胞系中高表达,有可能成为肾透明细胞癌的分子标记物。     

Increased phosphorylated CREB1 protein correlates with poor prognosis in clear cell renal cell carcinoma

BackgroundThis study aims to investigate the level of cAMP response element-binding protein 1 (phospho S133) (p-CREB1) protein in clear cell renal cell carcinoma (ccRCC) and evaluates its prognosis significance.MethodsImmunohistochemistry (IHC) method was performed to detect p-CREB1 staining in 233 ccRCC patients. Three or more high-power fields per tissue section were equally captured by a Leica DMRXA microphotographic system, and average staining intensity (optical density, OD) was analyzed by Leica Qwin Standard V2.6 system. Univariate and multivariate Cox proportional regression model was performed to assess the correlation of p-CREB1 staining and clinical outcomes.ResultsIHC proved that the level of p-CREB1 protein was significantly higher in tumor tissues than in adjacent normal tissues, and gradually increased from normal to tumor sections. On the basis of the receiver operating characteristic curve, patients were divided into low p-CREB1 staining (OD ≤0.28) and high p-CREB1 staining subgroup (OD >0.28) according to p-CREB1 protein staining intensity of tumor cells. Multivariate analyses showed that high p-CREB1staining was an independent risk factor for cancer-specific free survival, overall survival and progression-free survival.Conclusionsp-CREB1 protein is an independent prognostic biomarker for ccRCC patients.     

MMP-2和CXCR4mRNA在人肾透明细胞癌中的表达及意义

目的研究人肾透明细胞癌(ccRCC)组织中基质金属蛋白酶-2(MMP-2)和CXC趋化因子受体4(CXCR4)的表达情况及相关性,探讨二者与临床病理因素的关系。方法应用反转录-聚合酶链式反应(RT-PCR)方法检测68例ccRCC组织和36例癌旁正常肾组织中MMP-2与CXCR4mRNA的表达水平。结果在ccRCC组织中MMP-2和CXCR4mRNA的半定量值分别为0.848±0.367和0.939±0.336,高于在正常肾组织中的半定量值0.379±0.138和0.418±0.146,差异有统计学意义(t=7.375、8.860,P0.05);在ccRCC中MMP-2和CXCR4mRNA的表达与肿瘤的临床分期、分化程度和淋巴结转移情况有关(t=2.169~3.852,P0.05),而与患者的年龄、性别及肿瘤大小无关(t=0.201~0.630,P0.05);在ccRCC组织中MMP-2和CXCR4mRNA的表达呈正相关(r=0.832,P0.05)。结论 MMP-2和CXCR4可能共同参与了人ccRCC的发生、发展、侵袭和转移,并且在发挥作用时具有协同作用,联合检测MMP-2和CXCR4可能有助于协助ccRCC的早期诊断和病情评估。     

Bioinformatic gene analysis for potential biomarkers and therapeutic targets of diabetic nephropathy associated renal cell carcinoma

BackgroundNumerous epidemiological studies have confirmed that diabetes can promote the development of malignant tumors. However, the relationship between renal cell carcinoma (RCC) and diabetic nephropathy (DN) is still controversial. This study aimed to investigate the genes that are co-expressed in DN and RCC in order to gain a better understanding of the relationship between these diseases, and to identify potential biomarkers and targets for the treatment of DN-related RCC.MethodsWe evaluated the differentially expressed genes (DEGs) that are co-expressed in DN and RCC using a wide range of target prediction and analysis methods. Twenty-four genes were identified by intersecting the differential genes of 3 DN datasets and 2 RCC datasets. We predicted the micro-ribonucleic acids (miRNAs) of these genes that may be controlled using the miRNA Data Integration Portal (mirDIP) database, and rated them according to each data forecast based on the Comparative Toxicogenomics Database (CTD) and the StarBase database.ResultsFour genes were associated with DN and RCC patients: the predicted miRNAs hsa-miR-200b-3p and hsa-miR-429 of fibronectin 1 (FN1); the predicted miRNA hsa-miR-29c-3p of collagen type 1 alpha 2 (COL1A2); the predicted miRNA hsa-miR-29c-3p of collagen type 3 alpha 1 (COL3A1); and the predicted miRNA hsa-miR-29a-3p and hsa-miR-200c-3p of glucose-6-phosphatase catalytic subunit (G6PC). These genes may serve as potential biomarkers or specific targets in the treatment of DN-related RCC.ConclusionsA significant correlation was identified between DN and RCC. The FN1, COL1A2, COL3A1, and G6PC genes could be novel biomarkers of DN-related RCC.     

A preoperative clinical prognostic model for non-metastatic renal cell carcinoma

OBJECTIVE: To develop a model to predict the outcome before surgery for non-metastatic renal cell carcinoma (RCC). PATIENTS AND METHODS: The records of 660 patients with non-metastatic RCC, operated at three European medical institutes, were reviewed. Univariate and multivariate analyses were used to assess the clinical and pathological variables affecting disease-free survival. RESULTS: The median (range) follow-up was 42 (2-180) months; the disease recurred in 110 patients (16%). The 2- and 5-year overall survival was 87% and 54%, respectively. Five variables were significant in the univariate analysis, i.e. clinical presentation, clinical and pathological size, tumour grade and stage (P < 0.05). The preoperative variables, e.g. clinical presentation and clinical tumour size, were retained from the multivariate model. A recurrence risk formula (RRF) was constructed from this model, as (1.28 x presentation (asymptomatic = 0; symptomatic = 1) + (0.13 x clinical size)). Using this equation, the 2- and 5-year disease-free survival was 96% and 93% for an RRF of < or = 1.2 and 83% and 68% for an RRF of > 1.2. CONCLUSION: A formula was developed which, independent of stage, can be used to predict the rate of treatment failure in patients who undergo nephrectomy for non-metastatic RCC. The RRF might be useful for more accurate sub-grouping of good-prognosis patients, and for counselling patients before surgery, their personalized follow-up or adjuvant treatment once available.