Molecular signatures of localized clear cell renal cell carcinoma to predict disease-free survival after nephrectomy

MiRNA encoded PTEN's impact on clinical-pathological features and prognosis in osteosarcoma: A systematic review and meta-analysis

BACKGROUND

Osteosarcoma (OSC) is considered one of the most common malignant bone tumours in adolescents. Due to OSC's poor prognosis, a comprehensive approach to exploring these aspects is highly needed to improve the survival probability of OSC. In this study, we tried to explore the significance of miRNA-encoded PTEN for clinical-pathological features and prognostic value in OSC.

METHOD

We performed this systematic review and meta-analysis using articles and sources published between 2013 and 2023 from six databases (Scopus, PubMed, ProQuest, Science Direct, Sage Pub, and Cochrane). Included studies were clinical cross-sectional studies. Other study designs, articles not written in English, without full text, and not relevant-were excluded. Then, ROBINS-I is used to evaluate the distance. The results are constructed according to the PICOS criteria in a table. The expression of miRNA related to OSC is assessed in the meta-analysis as the main outcome to determine its ability as a diagnostic and prognostic agent for OSC. This systematic review followed the PRISMA guidelines.

RESULTS

A total of 17 studies were included in the final screening. The meta-analysis showed significantly increased (p < 0.00001) miRNA expression in patients with OSC compared to healthy controlled with pooled md (2.85) (95% CI: 2.69, 3.02; I2 = 22%, p = 0.20), the high inverse correlation (p < 0.001) between miRNA and PTEN expression was shown as mean effect size (-0.681) (95% CI: -0.787, -0.536; I2 = 75%, p < 0.0001), and the prognostic evaluation of OS was significantly increased in low expression miRNA (p < 0.00001) with pooled OR.

CONCLUSION

Fifteen miRNAs from 17 studies were found, and together with PTEN expression, they may serve as potential prognostic biomarkers for OSC. High-level levels of miRNA expression are correlated with low PTEN expression, leading to a bad prognosis for OSC.

CD70 is Consistently Expressed in Primary and Metastatic Clear Cell Renal Cell Carcinoma

BACKGROUND

CD70 is commonly overexpressed in renal cell carcinoma and is minimally expressed in normal human tissue, making it a potential therapeutic target for patients with advanced renal cell carcinoma. The expression frequency of CD70 in metastatic renal cell carcinoma is not well established.

MATERIALS AND METHODS

We assessed CD70 immunohistochemistry in 391 primary renal tumors and 72 metastatic renal cell carcinomas on a tissue microarray including 26 sets of paired primary and metastatic tumors.

RESULTS

CD70 was frequently overexpressed in clear cell carcinoma, with a significantly lower expression rate in papillary renal cell carcinoma (P < .0001). No expression of CD70 was detected in other types of renal tumors and normal renal parenchyma. In clear cell renal cell carcinoma, CD70 expression was significantly correlated with hypoxia pathway proteins, corroborating with a recent study suggesting that CD70 is a downstream target gene of hypoxia-inducible factor. While higher expression levels were observed in males and non-Caucasians, CD70 expression was not associated with tumor grade, sarcomatoid differentiation, stage, or cancer-specific survival. Further, analysis of 26 paired primary and metastatic tumors from same individuals revealed a concordance rate of 85%.

CONCLUSION

Our findings validated CD70 as a promising therapeutic target for patients with metastatic clear cell renal cell carcinoma. The utility of primary tumor tissue as surrogate samples for metastatic clear cell carcinoma awaits future CD70-targeted clinical trials.

Genomic and epigenomic integrative subtypes of renal cell carcinoma in a Japanese cohort

Renal cell carcinoma (RCC) comprises several histological types characterised by different genomic and epigenomic aberrations; however, the molecular pathogenesis of each type still requires further exploration. We perform whole-genome sequencing of 128 Japanese RCC cases of different histology to elucidate the significant somatic alterations and mutagenesis processes. We also perform transcriptomic and epigenomic sequencing to identify distinguishing features, including assay for transposase-accessible chromatin sequencing (ATAC-seq) and methyl sequencing. Genomic analysis reveals that the mutational signature differs among the histological types, suggesting that different carcinogenic factors drive each histology. From the ATAC-seq results, master transcription factors are identified for each histology. Furthermore, clear cell RCC is classified into three epi-subtypes, one of which expresses highly immune checkpoint molecules with frequent loss of chromosome 14q. These genomic and epigenomic features may lead to the development of effective therapeutic strategies for RCC.

Metastasis of incidentally diagnosed renal cell carcinoma to the sacrum 7 years after partial nephrectomy: Case report and literature review

INTRODUCTION

After undergoing partial nephrectomy for renal cell carcinoma (RCC), approximately 20-40 % of patients may develop either distant metastatic disease or locally recurring disease. Delayed occurrence of metastasis is an important aspect to consider in the management and monitoring of patients with renal cell carcinoma.

CASE PRESENTATION

A 69-years-old male who had been followed up for liver hemangioma, an incidental enhancing right renal mass was discovered which then revealed to be renal cell carcinoma on computed tomography scan. The patient underwent a partial nephrectomy in 2016without any reported complications, complaints, adverse event and/or re-admissions. Seven years following the surgery, the patient began experiencing left hip pain, leading him to seek medical advice which is then confirmed to be a cancerous metastasis of the renal origin.

CLINICAL DISCUSSION

Advocating for extended surveillance protocols is important to ensure that patients receive optimal care and that any disease progression is identified promptly. Early detection and intervention may lead to better treatment outcomes and improved patient survival. Therefore, continued vigilance and close monitoring of patients with RCC, even after long periods of disease-free survival, are essential components of comprehensive cancer care.

CONCLUSION

This case highlights the challenges in predicting and detecting the occurrence of metastases in renal cell carcinoma despite regular surveillance and follow-up examinations. The delayed appearance of the metastatic lesion underscores the importance of continued vigilance and thorough monitoring even in cases where initial imaging and blood tests appear unremarkable in patients with renal cell carcinoma.

Adjuvant Therapy for Renal Cell Carcinoma: Hype or Hope?

Renal cell carcinoma (RCC) is the third most common genitourinary cancer accounting for approximately 180,000 deaths worldwide in 2020. Although over two-thirds of patients initially present localized disease, up to 50% of them may progress to metastatic disease. Adjuvant therapy aims to reduce the recurrence risk and improve outcomes in several types of cancers but is currently an unmet need in RCC. The results achieved with tyrosine kinase inhibitors in metastatic RCC led to the evaluation of these target therapies in an early setting with conflicting results for disease-free survival and no overall survival (OS) benefit. Likewise, the results of immune checkpoint inhibitors (ICIs) in an adjuvant setting are conflicting. Available data did not show an improvement in OS with ICIs in the early phase, although a positive trend for pembrolizumab has been recorded, receiving the Food and Drug Administration's approval in this setting. However, the disappointing results of several ICIs and the heterogeneous pattern of RCC warrant biomarker identification and subgroup analyses to evaluate which patients could benefit from adjuvant therapy. In this review, we will discuss the rationale for adjuvant treatment in RCC, summarizing the results of the most important adjuvant therapy trials and current applications, to outline possible future directions.

Metastatic Renal Cell Carcinoma to the Soft Tissue 27 Years after Radical Nephrectomy: A Case Report

Background and Objectives: Approximately 20-40% of patients affected with renal cell carcinoma (RCC) develop either distant metastatic or locally recurring disease following radical nephrectomy. Soft tissue, skin, and the central nervous system are less common metastatic sites. We present the case of a patient who has received a diagnosis of RCC; it was found that she had no metastases at the time of nephrectomy but had metastases in the soft tissue and subcutaneous tissue of the scalp 27 years later. As far as we can tell, this is the longest period elapsed between primary renal tumor and subcutaneous/soft tissue metastasis; moreover, this case is the first report of a combined soft tissue/subcutaneous metastasis from RCC. Case presentation: A 73-year-old woman underwent right radical nephrectomy 27 years earlier for clear cell renal cell carcinoma (CCRCC). She presented at our unit because she noticed swelling in the left temporal region; after radiological exams, a benign lesion was suspected. The patient underwent surgical eradication, but the massive bleeding did not allow the removal of the lesion. A biopsy of the mass was performed and the histological examination was consistent with RCC metastases. Conclusions: Metastases from renal cell carcinoma to the subcutaneous and soft tissues are rare. It is essential to take into account RCC metastases in the differential diagnostic of the new starting mass of the head and neck, and the necessity for close and continuous surveillance of patients diagnosed with renal cancer even after a long disease-free period should be emphasized.

Risk models for recurrence and survival after kidney cancer: a systematic review

OBJECTIVE

To systematically identify and compare the performance of prognostic models providing estimates of survival or recurrence of localized renal cell cancer (RCC) in patients treated with surgery with curative intent.

MATERIALS AND METHODS

We performed a systematic review (PROSPERO CRD42019162349). We searched Medline, EMBASE and the Cochrane Library from 1 January 2000 to 12 December 2019 to identify studies reporting the performance of one or more prognostic model(s) that predict recurrence-free survival (RFS), cancer-specific survival (CSS) or overall survival (OS) in patients who have undergone surgical resection for localized RCC. For each outcome we summarized the discrimination of each model using the C-statistic and performed multivariate random-effects meta-analysis of the logit transformed C-statistic to rank the models.

RESULTS

Of a total of 13 549 articles, 57 included data on the performance of 22 models in external populations. C-statistics ranged from 0.59 to 0.90. Several risk models were assessed in two or more external populations and had similarly high discriminative performance. For RFS, these were the Sorbellini, Karakiewicz, Leibovich and Kattan models, with the UCLA Integrated Staging System model also having similar performance in European/US populations. All had C-statistics ≥0.75 in at least half of the validations. For CSS, they the models with the highest discriminative performance in two or more external validation studies were the Zisman, Stage, Size, Grade and Necrosis (SSIGN), Karakiewicz, Leibovich and Sorbellini models (C-statistic ≥0.80 in at least half of the validations), and for OS they were the Leibovich, Karakiewicz, Sorbellini and SSIGN models. For all outcomes, the models based on clinical features at presentation alone (Cindolo and Yaycioglu) had consistently lower discrimination. Estimates of model calibration were only infrequently included but most underestimated survival.

CONCLUSION

Several models had good discriminative ability, with there being no single 'best' model. The choice from these models for each setting should be informed by both the comparative performance and availability of factors included in the models. All would need recalibration if used to provide absolute survival estimates.

A Targetable Myeloid Inflammatory State Governs Disease Recurrence in Clear-Cell Renal Cell Carcinoma

It is poorly understood how the tumor immune microenvironment influences disease recurrence in localized clear-cell renal cell carcinoma (ccRCC). Here we performed whole-transcriptomic profiling of 236 tumors from patients assigned to the placebo-only arm of a randomized, adjuvant clinical trial for high-risk localized ccRCC. Unbiased pathway analysis identified myeloid-derived IL6 as a key mediator. Furthermore, a novel myeloid gene signature strongly correlated with disease recurrence and overall survival on uni- and multivariate analyses and is linked to TP53 inactivation across multiple data sets. Strikingly, effector T-cell gene signatures, infiltration patterns, and exhaustion markers were not associated with disease recurrence. Targeting immunosuppressive myeloid inflammation with an adenosine A2A receptor antagonist in a novel, immunocompetent, Tp53-inactivated mouse model significantly reduced metastatic development. Our findings suggest that myeloid inflammation promotes disease recurrence in ccRCC and is targetable as well as provide a potential biomarker-based framework for the design of future immuno-oncology trials in ccRCC.

SIGNIFICANCE

Improved understanding of factors that influence metastatic development in localized ccRCC is greatly needed to aid accurate prediction of disease recurrence, clinical decision-making, and future adjuvant clinical trial design. Our analysis implicates intratumoral myeloid inflammation as a key driver of metastasis in patients and a novel immunocompetent mouse model. This article is highlighted in the In This Issue feature, p. 2221.

Case report: caught by the pill cam…literally

Small bowel obstructions are a common general surgery occurrence. In a patient with prior abdominal surgeries, the usual diagnosis is secondary to adhesions. The management is typically conservative, which usually avoids operative intervention. Computed tomography (CT) scans help diagnosticians take a snapshot inside the abdomen; however, CT scans are not perfect and intra-abdominal pathologies can be missed requiring surgery. We present a case of an atypical small bowel obstruction. The initial CT scan showed a transition point in the right lower quadrant, which was managed non-operatively. One week later, the patient then re-presented with hematochezia following an outpatient pill cam procedure. Imaging showed the presence of a new small bowel mass, which was not seen on imaging done 1 week ago or from 10 months prior. He was then taken for a diagnostic laparoscopy, in which a small bowel mass was found, pathology positive for recurrent renal cell carcinoma.

Pathological and genetic markers improve recurrence prognostication with the University of California Los Angeles Integrated Staging System for patients with clear cell renal cell carcinoma

PURPOSE

To elucidate which patients with clear cell renal cell carcinoma have the highest risk for disease relapse after curative nephrectomy is challenging but is acutely relevant in the era of approved adjuvant therapies. Pathological and genetic markers were used to improve the University of California Los Angeles Integrated Staging System (UISS) for the risk stratification and prognostication of recurrence free survival (RFS).

PATIENTS AND METHODS

Necrosis, sarcomatoid features, Rhabdoid features, chromosomal loss 9p, combined chromosomal loss 3p14q and microvascular invasion (MVI) were tested in univariable and multivariable analyses for their ability to improve the discriminatory ability of the UISS.

RESULTS

In the development cohort, during the median follow-up time of 43.4 months (±SD 54.1 months), 50/240 (21%) patients developed disease recurrence. MVI (HR: 2.22; p = 0.013) and the combined loss of chromosome 3p/14q (HR: 2.89; p = 0.004) demonstrated independent association with RFS and were used to improve the assignment to the UISS risk category. In the current UISS high-risk group, only 7/50 (14%) recurrence cases were correctly identified; while in the improved system, 23/50 (45%) were correctly prognosticated. The concordance index meaningfully improved from 0.55 to 0.68 to distinguish patients at intermediate risk versus high risk. Internal validation demonstrated a robust prognostication of RFS. In the external validation cohort, there was no case with disease recurrence in the low-risk group, and the mean RFS times were 13.2 (±1.8) and 8.2 (±0.8) years in the intermediate and high-risk groups, respectively.

CONCLUSIONS

Adding MVI and combined chromosomal loss3p/14q to the UISS improves the ability to define the patient group with clear cell renal cell carcinomawho are at the highest risk for disease relapse after surgical treatment.

Diagnostics and prognostic evaluation in renal cell tumors: the German S3 guidelines recommendations

The German guidelines on renal cell carcinoma (RCC) have been developed at highest level of evidence based on systematic literature review. In this paper, we are presenting the current recommendations on diagnostics including preoperative imaging and imaging for stage evaluation as well as histopathological classification. The role of tumor biopsy is further discussed. In addition, different prognostic scores and the status of biomarkers in RCC are critically evaluated.

p53 is functionally inhibited in clear cell renal cell carcinoma (ccRCC): a mechanistic and correlative investigation into genetic and molecular characteristics

Purpose

Although p53 is rarely mutated in ccRCC, its overexpression has been linked to poor prognosis. The current study sought to elucidate the unique role of p53 in ccRCC with genomic, proteomic, and functional analyses.

Materials and methods

Data from the Cancer Genome Atlas (TCGA) were evaluated for genomic and proteomic characteristics of p53; a tissue micro array (TMA) study was carried out to evaluate the association of p53 and phosphorylated p53 (pp53) with clinical outcome. Mechanistic in vitro experiments were performed to confirm a pro-apoptotic loss of p53 in ccRCC and p53 isoforms as well as posttranslational modifications of p53 where assessed to provide possible reasons for a functional inhibition of p53 in ccRCC.

Results

A low somatic mutation rate of p53 could be confirmed. Although mRNA levels were correlated with poor prognosis and clinicopathological features, there was no monotonous association of mRNA levels with survival outcome. Higher p53 protein levels could be confirmed as poor prognostic features. In vitro, irradiation of ccRCC cell lines markedly induced levels of p53 and of activated (phosphorylated) p53. However, irradiated ccRCC cells demonstrated similar proliferation, migration, and p53 transcriptional activity like non-irradiated controls indicating a functional inhibition of p53. p53 isoforms and could not be correlated with clinical outcome of ccRCC patients.

Conclusions

p53 is rarely mutated but the wildtype p53 is functionally inhibited in ccRCC. To investigate mechanisms that underlie functional inhibition of p53 may provide attractive therapeutic targets in ccRCC.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00432-021-03786-1.

Stratification of patients with clear cell renal cell carcinoma to facilitate drug repositioning

Clear cell renal cell carcinoma (ccRCC) is the most common histological type of kidney cancer and has high heterogeneity. Stratification of ccRCC is important since distinct subtypes differ in prognosis and treatment. Here, we applied a systems biology approach to stratify ccRCC into three molecular subtypes with different mRNA expression patterns and prognosis of patients. Further, we developed a set of biomarkers that could robustly classify the patients into each of the three subtypes and predict the prognosis of patients. Then, we reconstructed subtype-specific metabolic models and performed essential gene analysis to identify the potential drug targets. We identified four drug targets, including SOAT1, CRLS1, and ACACB, essential in all the three subtypes and GPD2, exclusively essential to subtype 1. Finally, we repositioned mitotane, an FDA-approved SOAT1 inhibitor, to treat ccRCC and showed that it decreased tumor cell viability and inhibited tumor cell growth based on in vitro experiments.

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Three consistent molecular ccRCC subtypes were found to guide patients' prognoses

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REOs-based biomarker was developed to robustly classify patients at individual level

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SOAT1 is identified as a common drug target for all ccRCC subtypes

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Mitotane was repositioned treatment of ccRCC via inhibiting SOAT1

Development of a prognostic risk model for clear cell renal cell carcinoma by systematic evaluation of DNA methylation markers

BACKGROUND

Current risk models for renal cell carcinoma (RCC) based on clinicopathological factors are sub-optimal in accurately identifying high-risk patients. Here, we perform a head-to-head comparison of previously published DNA methylation markers and propose a potential prognostic model for clear cell RCC (ccRCC).

PATIENTS AND METHODS

Promoter methylation of PCDH8, BNC1, SCUBE3, GREM1, LAD1, NEFH, RASSF1A, GATA5, SFRP1, CDO1, and NEURL was determined by nested methylation-specific PCR. To identify clinically relevant methylated regions, The Cancer Genome Atlas (TCGA) was used to guide primer design. Formalin-fixed paraffin-embedded (FFPE) tissue samples from 336 non-metastatic ccRCC patients from the prospective Netherlands Cohort Study (NLCS) were used to develop a Cox proportional hazards model using stepwise backward elimination and bootstrapping to correct for optimism. For validation purposes, FFPE ccRCC tissue of 64 patients from the University Hospitals Leuven and a series of 232 cases from The Cancer Genome Atlas (TCGA) were used.

RESULTS

Methylation of GREM1, GATA5, LAD1, NEFH, NEURL, and SFRP1 was associated with poor ccRCC-specific survival, independent of age, sex, tumor size, TNM stage or tumor grade. Moreover, the association between GREM1, NEFH, and NEURL methylation and outcome was shown to be dependent on the genomic region. A prognostic biomarker model containing GREM1, GATA5, LAD1, NEFH and NEURL methylation in combination with clinicopathological characteristics, performed better compared to the model with clinicopathological characteristics only (clinical model), in both the NLCS and the validation population with a c-statistic of 0.71 versus 0.65 and a c-statistic of 0.95 versus 0.86 consecutively. However, the biomarker model had limited added prognostic value in the TCGA series with a c-statistic of 0.76 versus 0.75 for the clinical model.

CONCLUSION

In this study we performed a head-to-head comparison of potential prognostic methylation markers for ccRCC using a novel approach to guide primers design which utilizes the optimal location for measuring DNA methylation. Using this approach, we identified five methylation markers that potentially show prognostic value in addition to currently known clinicopathological factors.

Review of Prognostic Expression Markers for Clear Cell Renal Cell Carcinoma

Context: The number of prognostic markers for clear cell renal cell carcinoma (ccRCC) has been increasing regularly over the last 15 years, without being integrated and compared. Objective: Our goal was to perform a review of prognostic markers for ccRCC to lay the ground for their use in the clinics. Evidence Acquisition: PubMed database was searched to identify RNA and protein markers whose expression level was reported as associated with survival of ccRCC patients. Relevant studies were selected through cross-reading by two readers. Evidence Synthesis: We selected 249 studies reporting an association with prognostic of either single markers or multiple-marker models. Altogether, these studies were based on a total of 341 distinct markers and 13 multiple-marker models. Twenty percent of these markers were involved in four biological pathways altered in ccRCC: cell cycle, angiogenesis, hypoxia, and immune response. The main genes (VHL, PBRM1, BAP1, and SETD2) involved in ccRCC carcinogenesis are not the most relevant for assessing survival. Conclusion: Among single markers, the most validated markers were KI67, BIRC5, TP53, CXCR4, and CA9. Of the multiple-marker models, the most famous model, ClearCode34, has been highly validated on several independent datasets, but its clinical utility has not yet been investigated. Patient Summary: Over the years, the prognosis studies have evolved from single markers to multiple-marker models. Our review highlights the highly validated prognostic markers and multiple-marker models and discusses their clinical utility for better therapeutic care.

Cutaneous Melanoma: Mutational Status and Potential Links to Tertiary Lymphoid Structure Formation

Recent advances in immunotherapy have enabled rapid evolution of novel interventional approaches designed to reinvigorate and expand patient immune responses against cancer. An emerging approach in cancer immunology involves the conditional induction of tertiary lymphoid structures (TLS), which are non-encapsulated ectopic lymphoid structures forming at sites of chronic, pathologic inflammation. Cutaneous melanoma (CM), a highly-immunogenic form of solid cancer, continues to rise in both incidence and mortality rate, with recent reports supporting a positive correlation between the presence of TLS in melanoma and beneficial treatment outcomes amongst advanced-stage patients. In this context, TLS in CM are postulated to serve as dynamic centers for the initiation of robust anti-tumor responses within affected regions of active disease. Given their potential importance to patient outcome, significant effort has been recently devoted to gaining a better understanding of TLS neogenesis and the influence these lymphoid organs exert within the tumor microenvironment. Here, we briefly review TLS structure, function, and response to treatment in the setting of CM. To uncover potential tumor-intrinsic mechanisms that regulate TLS formation, we have taken the novel perspective of evaluating TLS induction in melanomas impacted by common driver mutations in BRAF, PTEN, NRAS, KIT, PRDM1, and MITF. Through analysis of The Cancer Genome Atlas (TCGA), we show expression of DNA repair proteins (DRPs) including BRCA1, PAXIP, ERCC1, ERCC2, ERCC3, MSH2, and PMS2 to be negatively correlated with expression of pro-TLS genes, suggesting DRP loss may favor TLS development in support of improved patient outcome and patient response to interventional immunotherapy.

An eleven metabolic gene signature-based prognostic model for clear cell renal cell carcinoma

In this study, we performed bioinformatics and statistical analyses to investigate the prognostic significance of metabolic genes in clear cell renal cell carcinoma (ccRCC) using the transcriptome data of 539 ccRCC and 72 normal renal tissues from TCGA database. We identified 79 upregulated and 45 downregulated (n=124) metabolic genes in ccRCC tissues. Eleven prognostic metabolic genes (NOS1, ALAD, ALDH3B2, ACADM, ITPKA, IMPDH1, SCD5, FADS2, ACHE, CA4, and HK3) were identified by further analysis. We then constructed an 11-metabolic gene signature-based prognostic risk score model and classified ccRCC patients into high- and low-risk groups. Overall survival (OS) among the high-risk ccRCC patients was significantly shorter than among the low-risk ccRCC patients. Receiver operating characteristic (ROC) curve analysis of the prognostic risk score model showed that the areas under the ROC curve for the 1-, 3-, and 5-year OS were 0.810, 0.738, and 0.771, respectively. Thus, our prognostic model showed favorable predictive power in the TCGA and E-MTAB-1980 ccRCC patient cohorts. We also established a nomogram based on these eleven metabolic genes and validated internally in the TCGA cohort, showing an accurate prediction for prognosis in ccRCC.

Influence of gene expression on survival of clear cell renal cell carcinoma

Approximately 10%‐20% of patients with clinically localized clear cell renal cell carcinoma (ccRCC) at time of surgery will subsequently experience metastatic progression. Although considerable progression was seen in the systemic treatment of metastatic ccRCC in last 20 years, once ccRCC spreads beyond the confines of the kidney, 5‐year survival is less than 10%. Therefore, significant clinical advances are urgently needed to improve overall survival and patient care to manage the growing number of patients with localized ccRCC. We comprehensively evaluated expression of 388 candidate genes related with survival of ccRCC by using TCGA RNAseq (n = 515), Total Cancer Care (TCC) expression array data (n = 298), and a well characterized Moffitt RCC cohort (n = 248). We initially evaluated all 388 genes for association with overall survival using TCGA and TCC data. Eighty‐one genes were selected for further analysis and tested on Moffitt RCC cohort using NanoString expression analysis. Expression of nine genes (AURKA, AURKB, BIRC5, CCNE1, MK167, MMP9, PLOD2, SAA1, and TOP2A) was validated as being associated with poor survival. Survival prognostic models showed that expression of the nine genes and clinical factors predicted the survival in ccRCC patients with AUC value: 0.776, 0.821 and 0.873 for TCGA, TCC and Moffitt data set, respectively. Some of these genes have not been previously implicated in ccRCC survival and thus potentially offer insight into novel therapeutic targets. Future studies are warranted to validate these identified genes, determine their biological mechanisms and evaluate their therapeutic potential in preclinical studies.

The Role of Targeted Therapy in the Management of High-Risk Resected Kidney Cancer: What Have We Learned and How Will It Inform Future Adjuvant Trials

The primary treatment for localized renal cell carcinoma (RCC) is surgical resection with curative intent. Despite this, many patients, especially those with high-risk features, will develop recurrent or metastatic disease. Antiangiogenic therapies targeting vascular endothelial growth factor have been a mainstay of treatment of advanced RCC for more than 10 years. Evidence supporting the use of these therapies in the adjuvant setting is mixed, although one clinical trial, S-TRAC, has shown improvements in disease-free survival with 1 year of adjuvant sunitinib among patients with clear cell histology and high-risk features, leading to the first US Food and Drug Administration approval of an adjuvant therapy for high-risk RCC patients. Further investigation into combination therapies with immunotherapy, neoadjuvant approaches, and patient selection will be key to determining optimal adjuvant therapy regimens to improve outcomes and increase cure rates for patients with localized RCC.

Adjuvant Therapy for Localized High-Risk Renal Cell Carcinoma

This article reviews the use of adjuvant therapies for prevention of recurrence following resection of clinically localized renal cell carcinoma (RCC). Clinical trials evaluating adjuvant therapy for RCC have focused primarily on the use of tyrosine kinase inhibitors and mammalian target of rapamycin inhibitors, which had improved outcome in patients with metastatic disease. However, all but 1 trial found no difference in disease-free survival in the adjuvant setting and none improved overall survival.

An optimal prognostic model based on gene expression for clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is the most prevalent type of RCC; however, prognostic prediction tools for ccRCC are scant. Developing mRNA or long non-coding RNA (lncRNA)-based risk assessment tools may improve the prognosis in patients with ccRCC. RNA-sequencing and prognostic data from patients with ccRCC were downloaded from The Cancer Genome Atlas and the European Bioinformatics Institute Array database at the National Center for Biotechnology Information. Differentially expressed (DE) RNAs (DERs) and prognostic DERs were screened between less favorable and favorable prognoses using the limma package in R 3.4.1, and analyzed using univariate and multivariate Cox regression analyses, respectively. Risk score models were constructed using optimal combinations of DEmRNAs and DElncRNAs identified using the Least Absolute Shrinkage And Selection Operator Cox regression model of the penalized package. Associations between risk score models and overall survival time were evaluated. Independent prognostic clinical factors were screened using univariate and multivariate Cox regression analyses, and nomogram models were constructed. Gene Ontology biological processes and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were conducted using the clusterProfiler package in R3.4.1. A total of 451 DERs were identified, including 404 mRNAs and 47 lncRNAs, between less favorable and favorable prognoses, and 269 DERs, including 233 mRNAs and 36 lncRNAs, were identified as independent prognostic factors. Optimal combinations including 10 DEmRNAs or 10 DElncRNAs were screened using four risk score models based on the status or expression levels of the 10 DEmRNAs or 10 DElncRNAs. The model based on the expression levels of the 10 DEmRNAs had the highest prognostic power. These prognostic DEmRNAs may be involved in biological processes associated with the inflammatory response, complement and coagulation cascades and neuroactive ligand-receptor interaction pathways. The present validated risk assessment tool based on the expression levels of these 10 DEmRNAs may help to identify patients with ccRCC at a high risk of mortality. These 10 DEmRNAs in optimal combinations may serve as prognostic biomarkers and help to elucidate the pathogenesis of ccRCC.

Is percutaneous image-guided renal tumour ablation ready for prime time?

In the last few decades, thermal ablation (TA) techniques have been increasingly applied to treat small localised renal cell carcinomas. Despite this trend, there is still an underuse of TA compared to surgery and a substantial lack of high-quality evidence derived from large, prospective, randomised controlled trials comparing the long-term oncologic outcomes of TA and surgery. Therefore, in this narrative review, we assess published guidelines and recent literature concerning the diagnosis and management of kidney-confined renal cell carcinoma to understand whether percutaneous image-guided TA is ready to be proposed as a first-line treatment.

Isolated Nasal Metastasis From Renal Cell Carcinoma 9 Years After Nephrectomy Seen on FDG PET

A 56-year-old man presented with intermittent epistaxis. Nasopharyngoscope revealed a hemorrhagic mass occupying the left nasal cavity. The patient had a history of renal clear cell carcinoma. F-FDG PET/CT was performed to evaluate the potential lesions systematically. PET/CT images showed low to moderate activity in the region of nasal cavity and paranasal sinuses. No abnormal uptake of F-FDG was observed in the rest of the body. Eventually, the mass was pathologically proved to be metastatic renal clear cell carcinoma.

Classification of clear cell renal cell carcinoma based on PKM alternative splicing

Clear cell renal cell carcinoma (ccRCC) accounts for 70-80% of kidney cancer diagnoses and displays high molecular and histologic heterogeneity. Hence, it is necessary to reveal the underlying molecular mechanisms involved in progression of ccRCC to better stratify the patients and design effective treatment strategies. Here, we analyzed the survival outcome of ccRCC patients as a consequence of the differential expression of four transcript isoforms of the pyruvate kinase muscle type (PKM). We first extracted a classification biomarker consisting of eight gene pairs whose within-sample relative expression orderings (REOs) could be used to robustly classify the patients into two groups with distinct molecular characteristics and survival outcomes. Next, we validated our findings in a validation cohort and an independent Japanese ccRCC cohort. We finally performed drug repositioning analysis based on transcriptomic expression profiles of drug-perturbed cancer cell lines and proposed that paracetamol, nizatidine, dimethadione and conessine can be repurposed to treat the patients in one of the subtype of ccRCC whereas chenodeoxycholic acid, fenoterol and hexylcaine can be repurposed to treat the patients in the other subtype.

Can we Predict Preoperative Tumor Aggressivity with Hemogram Parameters in Renal Cell Carcinoma? a Novel Calculation Method

We aim to investigate the prognostic significance of the hemoglobin X lymphocyte / neutrophil ratio (HLNR) and hemoglobin x lymphocyte / platelet ratio (HLPR) with tumor aggressivity in patients with renal cell carcinoma. We retrospectively analyzed 127 patients' data who had diagnosed as renal cell carcinoma between 2008 and 2019 in Suleyman Demirel University Hospital. Tumor and patient characteristics, hemoglobin, neutrophil, lymphocyte, platelet values HLNR and HLPR were calculated in preoperative hemogram parameters. The relationship between tumor pathological stage, Fuhrman nuclear grade and tumor necrosis with HLPR and HLNR analyzed with statistically. There was a negative correlation between pathologic stage, Fuhrman nuclear grade and tumor necrosis with HLNR. P values are 0.003, 0.012 and 0.015 respectively. HLNR was lower in patients with high pathologic stage, high Fuhrman nuclear grade and accompanying tumor necrosis positiveness. There was a negative correlation between pathologic stage, Fuhrman nuclear grade and tumor necrosis with HLPR. P values are 0.001, 0.014 and 0.047 respectively. HLPR was lower in patients with high pathologic stage, high Fuhrman nuclear grade and accompanying tumor necrosis positiveness. High pathological stage, high Fuhrman nuclear grade and existence of tumor necrosis are associates with preoperative low HLNR and low HLPR in renal cell carcinoma patients. They can be used as prognostic markers in patients with renal mass preoperatively.

Expression of Ring Box-1 protein and its relationship with Fuhrman grade and other clinical-pathological parameters in renal cell cancer

OBJECTIVE

To determine the relationship between RING-box protein 1 (RBX-1) expression and renal cell carcinoma (RCC) with prognostic factors.

METHODS

A total of 88 patients who underwent radical/partial nephrectomy between January 2009 and January 2016 have been included in our study. The age, gender, tumor location, tumor size, and tumor-node-metastasis stage of each patient was evaluated. From the best sections in hematoxylin-eosin stained pathology preparations, tumor histological subtype, Fuhrman nuclear grade, lymphovascular invasion, renal artery/vein invasion, capsule invasion, perirenal fatty tissue invasion, and tumor grade were evaluated. Participants were divided into 2 groups according to Fuhrman grade. Fuhrman grades 1 to 2 comprised Group 1, and Fuhrman grades 3 to 4 comprised Group 2. An immunoreactivity scoring system was used to evaluate RBX-1 expression.

RESULTS

Upon examining all histological subtypes together, it was observed that RBX-1 expression was statistically higher in Group 2 compared to Group 1 (P < 0.008). Upon examining clear RCC cases, it was observed again that Group 2 had a higher RBX-1 expression than Group 1 (P < 0.009). RBX-1 expression was not associated with clinical-pathological parameters including tumor grade, lymphovascular invasion, capsule invasion, or perirenal invasion.

CONCLUSION

RBX-1 expression is closely associated with a highly important prognostic factor in RCC-Fuhrman grade-and it shows promise as a prognostic marker. Further studies are required to reveal the importance of RBX-1 in RCC prognosis and treatment.

Circular RNAs in Clear Cell Renal Cell Carcinoma: Their Microarray-Based Identification, Analytical Validation, and Potential Use in a Clinico-Genomic Model to Improve Prognostic Accuracy

Circular RNAs (circRNAs) may act as novel cancer biomarkers. However, a genome-wide evaluation of circRNAs in clear cell renal cell carcinoma (ccRCC) has yet to be conducted. Therefore, the objective of this study was to identify and validate circRNAs in ccRCC tissue with a focus to evaluate their potential as prognostic biomarkers. A genome-wide identification of circRNAs in total RNA extracted from ccRCC tissue samples was performed using microarray analysis. Three relevant differentially expressed circRNAs were selected (circEGLN3, circNOX4, and circRHOBTB3), their circular nature was experimentally confirmed, and their expression-along with that of their linear counterparts-was measured in 99 malignant and 85 adjacent normal tissue samples using specifically established RT-qPCR assays. The capacity of circRNAs to discriminate between malignant and adjacent normal tissue samples and their prognostic potential (with the endpoints cancer-specific, recurrence-free, and overall survival) after surgery were estimated by C-statistics, Kaplan-Meier method, univariate and multivariate Cox regression analysis, decision curve analysis, and Akaike and Bayesian information criteria. CircEGLN3 discriminated malignant from normal tissue with 97% accuracy. We generated a prognostic for the three endpoints by multivariate Cox regression analysis that included circEGLN3, circRHOBT3 and linRHOBTB3. The predictive outcome accuracy of the clinical models based on clinicopathological factors was improved in combination with this circRNA-based signature. Bootstrapping as well as Akaike and Bayesian information criteria confirmed the statistical significance and robustness of the combined models. Limitations of this study include its retrospective nature and the lack of external validation. The study demonstrated the promising potential of circRNAs as diagnostic and particularly prognostic biomarkers in ccRCC patients.

The Role of CXCR3 in Neurological Diseases

BACKGROUND

Neurological diseases have become an obvious challenge due to insufficient therapeutic intervention. Therefore, novel drugs for various neurological disorders are in desperate need. Recently, compelling evidence has demonstrated that chemokine receptor CXCR3, which is a G protein-coupled receptor in the CXC chemokine receptor family, may play a pivotal role in the development of neurological diseases. The aim of this review is to provide evidence for the potential of CXCR3 as a therapeutic target for neurological diseases.

METHODS

English journal articles that focused on the invovlement of CXCR3 in neurological diseases were searched via PubMed up to May 2017. Moreover, reference lists from identified articles were included for overviews.

RESULTS

The expression level of CXCR3 in T cells was significantly elevated in several neurological diseases, including multiple sclerosis (MS), glioma, Alzheimer's disease (AD), chronic pain, human T-lymphotropic virus type 1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) and bipolar disorder. CXCR3 antagonists showed therapeutic effects in these neurological diseases.

CONCLUSION

These studies provided hard evidence that CXCR3 plays a vital role in the pathogenesis of MS, glioma, AD, chronic pain, HAM/TSP and bipolar disorder. CXCR3 is a crucial molecule in neuroinflammatory and neurodegenerative diseases. It regulates the activation of infiltrating cells and resident immune cells. However, the exact functions of CXCR3 in neurological diseases are inconclusive. Thus, it is important to understand the topic of chemokines and the scope of their activity in neurological diseases.

Is there a role for adjuvant therapy after surgery in "high risk for recurrence" kidney cancer? An update on current concepts

Background

Although surgical resection remains the standard of care for localized kidney cancers, a significant proportion of patients experience systemic recurrence after surgery and hence might benefit from effective adjuvant therapy. So far, several treatment options have been evaluated in adjuvant clinical trials, but only a few have provided promising results. Nevertheless, with the recent development of targeted therapy and immunomodulatory therapy, a series of clinical trials are in progress to evaluate the potential of those novel agents in the adjuvant setting. In this paper, we provide a narrative review of the progress in this field, and we summarize the results from recent adjuvant trials that have been completed.

Methods

A literature search was conducted. The primary search strategy at the medline, Cochrane reviews, and http://ClinicalTrials.gov/databases included the keywords "adjuvant therapy," "renal cell carcinoma," and "targeted therapy or/and immunotherapy."

Conclusions

Data from the s-trac study indicated that, in the "highest risk for recurrence" patient population, disease-free survival was increased with the use of adjuvant sunitinib compared with placebo. The assure trial showed no benefit for adjuvant sunitinib or sorafenib in the "intermediate- to high-risk" patient population. The ariser (adjuvant girentuximab) and protect (adjuvant pazopanib) trials indicated no survival benefit, but subgroup analyses in both trials recommended further investigation. The inconsistency in some of the current results can be attributed to a variety of factors pertaining to the lack of standardization across the trials. Nevertheless, patients in the "high risk of recurrence" category after surgery for their disease would benefit from a discussion about the potential benefits of adjuvant treatment and enrolment in ongoing adjuvant trials.

Treatment approaches to small renal masses in patients of advanced age (≥75 years)

The elderly population is increasing in Turkey and across the world. With the frequent use of imaging modalities, the detection rate of coincidental small renal mass has also increased. Since small renal masses are generally not malignant, most of them can be followed up by active surveillance. In the current study, we examined the treatment options that can be offered to elderly patients with small renal masses. The optimum treatment method for patients of advanced age presenting with renal masses should be determined based on the presence of comorbidities such as age, renal function, and tumor characteristics.

Bioinformatic identification of key genes and analysis of prognostic values in clear cell renal cell carcinoma

The present study aimed to identify new key genes as potential biomarkers for the diagnosis, prognosis or targeted therapy of clear cell renal cell carcinoma (ccRCC). Three expression profiles (GSE36895, GSE46699 and GSE71963) were collected from Gene Expression Omnibus. GEO2R was used to identify differentially expressed genes (DEGs) in ccRCC tissues and normal samples. The Database for Annotation, Visualization and Integrated Discovery was utilized for functional and pathway enrichment analysis. STRING v10.5 and Molecular Complex Detection were used for protein-protein interaction (PPI) network construction and module analysis, respectively. Regulation network analyses were performed with the WebGestal tool. UALCAN web-portal was used for expression validation and survival analysis of hub genes in ccRCC patients from The Cancer Genome Atlas (TCGA). A total of 65 up- and 164 downregulated genes were identified as DEGs. DEGs were enriched with functional terms and pathways compactly related to ccRCC pathogenesis. Seventeen hub genes and one significant module were filtered out and selected from the PPI network. The differential expression of hub genes was verified in TCGA patients. Kaplan-Meier plot showed that high mRNA expression of enolase 2 (ENO2) was associated with short overall survival in ccRCC patients (P=0.023). High mRNA expression of cyclin D1 (CCND1) (P<0.001), fms related tyrosine kinase 1 (FLT1) (P=0.004), plasminogen (PLG) (P<0.001) and von Willebrand factor (VWF) (P=0.008) appeared to serve as favorable factors in survival. These findings indicate that the DEGs may be key genes in ccRCC pathogenesis and five genes, including ENO2, CCND1, PLT1, PLG and VWF, may serve as potential prognostic biomarkers in ccRCC.

Prognostic factors and prognostic models for renal cell carcinoma: a literature review

PURPOSE

Following curative treatment for localised renal cell carcinoma (RCC), up to 30% of patients develop tumour recurrence. Prognostic scores are essential to guide individualised surveillance protocols, patient counselling and potentially in the future to guide adjuvant therapy. In metastatic RCC, prognostic scores are routinely used for treatment selection in clinical practice as well as in all major trials.

METHODS

We performed a literature review on the current evidence based on prognostic factors and models for localised and metastatic RCC.

RESULTS

A number of prognostic factors have been identified, of which tumour node metastasis classification remains the most important. Multiple prognostic models and nomograms have been developed for localised disease, based on a combination of tumour stage, grade, subtype, clinical features, and performance status. However, there is poor level of evidence for their routine use. Prognostic scores for patients with metastatic RCC receiving targeted treatments are used routinely, but have limited accuracy. Molecular markers can improve the accuracy of established prognostic models, but frequently lack external, independent validation.

CONCLUSION

Several factors and models predict prognosis of localised and metastatic RCC. They represent valuable tools to provide estimates of clinically important endpoints, but their accuracy should be improved further. Validation of molecular markers is a future research priority.

Surveillance following surgery for nonmetastatic renal cell carcinoma

PURPOSE OF REVEIW

Approximately one in three patients with nonmetastatic renal cell carcinoma (RCC) at the time of surgery will subsequently develop local or metastatic recurrence. The purpose of this review is to examine the current rationale for surveillance, describe sites of RCC metastasis, evaluate the existing guidelines for postsurgical follow-up studies, and analyze the risk stratification systems following RCC surgery.

RECENT FINDINGS

Although 75% of recurrences will be identified during the first 5 years following surgery, late recurrences are not uncommon. The risk of recurrence can be predicted from the tumor stage, grade, and other pathologic features. Advanced risk stratification will likely be possible in the future with increased use of molecular classification and serum biomarkers. Patient comorbidities, age, and individual recurrence risk should also be considered when designing individualized surveillance protocols.

SUMMARY

Follow-up after surgery for RCC should focus on imaging of the chest and abdomen to detect common sites of recurrence. Patients should be stratified for risk, and surveillance imaging should be more frequent and intensive in healthy patients with higher risk. Future research is needed to define an optimal individualized surveillance strategy that balances the potential benefits of early cancer detection with the risks and cost of surveillance.

Opposite prognostic roles of HIF1α and HIF2α expressions in bone metastatic clear cell renal cell cancer

BACKGROUND

Prognostic markers of bone metastatic clear cell renal cell cancer (ccRCC) are poorly established. We tested prognostic value of HIF1α/HIF2α and their selected target genes in primary tumors and corresponding bone metastases.

RESULTS

Expression of HIF2α was lower in mRCC both at mRNA and protein levels (p/mRNA/=0.011, p/protein/=0.001) while HIF1α was similar to nmRCC. At the protein level, CAIX, GAPDH and GLUT1 were increased in mRCC. In all primary RCCs, low HIF2α and high HIF1α as well as CAIX, GAPDH and GLUT1 expressions correlated with adverse prognosis, while VEGFR2 and EPOR gene expressions were associated with favorable prognosis. Multivariate analysis confirmed high HIF2α protein expression as an independent risk factor. Prognostic validation of HIFs, LDH, EPOR and VEGFR2 in RNA-Seq data confirmed higher HIF1α gene expression in primary RCC as an adverse (p=0.07), whereas higher HIF2α and VEGFR2 expressions as favorable prognostic factors. HIF1α/HIF2α-index (HIF-index) proved to be an independent prognostic factor in both the discovery and the TCGA cohort.

PATIENTS AND METHODS

Expressions of HIF1α and HIF2α as well as their 7 target genes were analysed on the mRNA and protein level in 59 non-metastatic ccRCCs (nmRCC), 40 bone metastatic primary ccRCCs (mRCC) and 55 corresponding bone metastases. Results were validated in 399 ccRCCs from the TCGA project.

CONCLUSIONS

We identified HIF2α protein as an independent marker of the metastatic potential of ccRCC, however, unlike HIF1α, increased HIF2α expression is a favorable prognostic factor. The HIF-index incorporated these two markers into a strong prognostic biomarker of ccRCC.

p53-expression in patients with renal cell carcinoma correlates with a higher probability of disease progression and increased cancer-specific mortality after surgery but does not enhance the predictive accuracy of robust outcome models

OBJECTIVE

Due to lacking external validation, molecular biomarkers are currently not applied for risk-stratification of patients with localized renal cell carcinoma. The objective of this study was to externally validate a molecular multi-marker panel included in a previously proposed prognostic nomogram for the prediction of postoperative disease-free survival.

METHODS AND MATERIALS

Besides pathologic tumor stage (pT) and ECOG-Performance Status, the nomogram includes 5 molecular markers (Ki-67, p53, VEGFR-1 endothelial or epithelial, and VEGF-D epithelial). The validation cohort comprised 343 renal cell carcinoma patients treated by radical nephrectomy or nephron-sparing surgery from 1999 to 2004 at a single academic center (median follow-up: 100 months). By multivariable Cox proportional-hazards regression models, the impact of clinical and molecular markers included in the nomogram on disease progression (DP) and cancer-specific mortality (CSM) was assessed; in addition, it was evaluated to what extent molecular markers added to the models' predictive accuracy (PA).

RESULTS

Of all parameters included in the nomogram, ECOG-PS and pT-stage only revealed a significant impact on both endpoints. p53 (per 10% measures) showed a significant impact on DP (HR = 1.31; P = 0.008), albeit not on CSM, while all other molecular markers did not impact study endpoints. Using Martingale residuals, a cut-off value for p53-expression<20% (negative) vs. ≥20% (positive) yielded the highest impact on DP and CSM. In outcome-models including further well-established histo-pathological factors, p53-expression dichotomized at 20% independently impacted DP (HR = 4.13; P = 0.004) and CSM (HR = 3.74; P = 0.033), while no significant PA gain was achieved.

CONCLUSIONS

p53 showed a statistically significant impact on DP, albeit not on CSM, when applying the 10% expression cut-off as used in the original nomogram, while the prognostic value of all other examined markers included in the nomogram could not be confirmed. When an alternative cut-off of 20% was applied in multivariable models, p53 independently impacted DP and CSM, while the PA was not significantly enhanced. Hence, the clinical significance of p53 is still to be determined. Based on the results of this study it is not recommendable to use p53-expression and the Klatte nomogram in routine clinical decision-making.

Cutaneous metastasis of renal cell carcinoma masquerading as an infected sebaceous cyst

Renal cell carcinoma (RCC) is the third most common genitourinary malignancy with an estimated one third of cases with metastatic disease at the time of diagnosis. Though rare, cutaneous metastasis from RCC is more frequent than any other genitourinary malignancy. Metastasis of RCC to skin carries poor prognosis as coexistent visceral spread is the norm. A 38-year-old man presented one year after radical nephrectomy for clear cell carcinoma of the left kidney with a submental lesion that proved to be metastatic. Clinical appearance of cutaneous RCC metastasis is varied and can closely mimic other skin lesions. It is incumbent on general practitioners, dermatologists and urologists to exercise diligence in clinical diagnosis of skin lesions in the background of previous oncological diagnosis.

J. Risk models for patients with localised renal cell carcinoma

INTRODUCTION

We conducted a retrospective analysis of our series to assess the factors that influenced disease-free survival (DFS) and cancer-specific survival (CSS) for patients with localised renal cell carcinoma (RCC). We also created our own risk groups.

MATERIAL AND METHODS

Between January 1990 and December 2012, 596 patients underwent surgery for localised RCC (clear cell, papillary or chromophobe). Using Cox regression models, we analysed the clinical-pathological variables that influenced DFS and CSS and designed risk groups for DFS and CSS with the variables.

RESULTS

The median follow-up for the series was 5.96 years. By the end of the study, 112 patients (18.8%) had a recurrence of the disease, with DFS rates of 82%, 77% and 72% at 5, 10 and 15 years, respectively. The independent factors that influenced DFS in the multivariate study were the following: A Furhman grade of 3-4, haematuria, lymphocytic or vascular invasion, the presence of tumour necrosis and a disease stage pT3-pT4. Furthermore, by the end of the study, 57 patients (9.6%) died due to renal cancer, with CSS rates of 92%, 86% and 83% at 5, 10 and 15 years, respectively. The independent factors that influenced CSS in the multivariate study were the following: A Furhman grade of 3-4, perinephric fat invasion and the presence of tumour necrosis.

CONCLUSIONS

Factors in addition to the disease stage pT3-pT4 in patients with localised RCC are important, such as the presence of haematuria and lymphocytic or vascular invasion for DFS. A Furhman grade of 3-4 and the presence of tumour necrosis are especially relevant for DFS and CSS.

Prognostic Significance of Macroscopic Appearance in Clear Cell Renal Cell Carcinoma and Its Metastasis-Predicting Model

Prognostic significance of macroscopic appearance of clear cell renal cell carcinoma (ccRCC) has not yet been studied. This study aimed to define the prognostic significance of macroscopic appearance and to propose a prognostic model for post-operative metastasis in ccRCC. A total of 1,025 patients with ccRCC were analyzed for the development dataset. A separate cohort of 399 such patients was used as an external validation dataset. Macroscopic appearances were initially divided into four groups, but were later divided into two groups: a simple nodular group (700 cases, 68.3%) and an irregular outline group (325 cases, 32.7%). During the 66.1-month mean follow-up period, 98 patients (9.6%) developed metastasis. Univariate analysis revealed that metastasis was associated with older age, radical nephrectomy, larger tumor size, higher tumor grade and stage, and the irregular outline group. On multivariate analysis, age, tumor size, and macroscopic appearance remained as independent prognostic factors. These factors were used to build a prognostic model, which divided into three risk groups. The probabilities of 5-year metastasis-free survival in the low-, intermediate-, and high-risk groups were 98%, 83%, and 53%, respectively. The results showed prognostic significance of macroscopic appearance in ccRCC and propose a prognostic model to guide post-operative management of patients with ccRCC.

Improving outcomes in high-risk, nonmetastatic renal cancer: new data and ongoing trials

High-risk, localized renal cancer is associated with recurrence rates of up to 75% at 10 years. The outcomes of patients at this disease stage depend on optimal patient stratification, surgical management and systemic therapy selection. Current evidence does not support the use of adjuvant therapy in patients with high-risk, localized disease. During the past 12 months, the results of large, randomized-controlled trials of adjuvant tyrosine kinase inhibitor (TKI) treatment, such as ASSURE and S-TRAC, have been published, but their findings are conflicting. Whether TKIs will become standard of care in the adjuvant setting depends on the long-term data from ongoing trials. In addition, several new trials that evaluate the utility of novel immune checkpoint inhibitors in this patient group are currently recruiting. The management of renal cancer is likely to evolve at a rapid pace over the next few years and matching patients with the appropriate therapeutic regimen is likely to be a focus of future research.

Recurrence in Localized Renal Cell Carcinoma: a Systematic Review of Contemporary Data

PURPOSE OF REVIEW

Patients with localized renal cell carcinoma (RCC) are at risk of recurrence. The purpose of this review was to characterize the literature on recurrence rates and risk factors after diagnosis of localized RCC.

RECENT FINDINGS

Our search revealed that existing data examining the prevalence of recurrence rates predominantly originates from cohorts of patients diagnosed and treated in the 1980s to 1990s, and may therefore not be as useful for counseling for current patients today. Many nomograms including the Cindolo Recurrence Risk Formula, the University of California-Los Angeles (UCLA) Integrated Scoring System (UISS), the SSIGN score, the Kattan nomogram, and the Karakiewicz nomogram have shown value in identifying patients at higher risk for recurrence. Biomarkers and gene assays have shown promise in augmenting the predictive accuracy of some of the aforementioned predictive models, especially when multiple gene markers are used in combination. However, more work is needed in not only developing a model but also validating it in other settings prior to clinical use. Adjuvant therapy is a promising new treatment strategy for patients with high-risk disease. Importantly, too many surveillance strategies exist. This may stem from the lack of a consensus in the urological community in how to follow these patients, as well as the variable guideline recommendations. In conclusion, contemporary recurrence rates are needed. Recurrence risk prediction models should be developed based on a series of more contemporary patients, and externally validated prior to routine clinical practice. Surveillance strategies following treatment of localized RCC need to be identified and standardized. Finally, there is a trend toward personalizing surveillance regimens to more appropriately screen patients at higher risk of recurrence.

Adjuvant Therapy for High Risk Localized Kidney Cancer: Emerging Evidence and Future Clinical Trials

PURPOSE

We reviewed the literature on adjuvant therapies for patients with high risk localized kidney cancer following surgical resection. In this analysis we merge 2 recently published prospective trials with conflicting results within the context of their respective designs. In addition, we spotlight upcoming trials that use novel immunotherapy based checkpoint inhibitors and have the potential to establish a new standard of care.

MATERIALS AND METHODS

We searched PubMed^® for English language articles published through January 2017 using the keywords "renal cell carcinoma," "kidney cancer," "immunotherapy," "targeted therapy" and "adjuvant therapy." ClinicalTrials.gov was queried for ongoing studies. Relevant data recently presented at major urology and medical oncology meetings are also included.

RESULTS

Adjuvant therapies for high risk localized kidney cancer can be grouped into the categories of 1) traditional immunotherapy, 2) inhibitors of the vascular endothelial growth factor and mTOR (mammalian target of rapamycin) pathways, 3) vaccines and antibody dependent cytotoxic agents, and 4) immune checkpoint inhibitors. Several trials of traditional immunotherapy, such as interferon-α and high dose interleukin-2, failed to demonstrate benefit as adjuvant treatment and were associated with significant adverse events. Vascular endothelial growth factor and mTOR inhibitors have less severe toxicity in metastatic disease and, therefore, are natural considerations for adjuvant trials. However, current data are conflicting. The ASSURE (Sunitinib Malate or Sorafenib Tosylate in Treating Patients with Kidney Cancer that was Removed by Surgery, NCT00326898) trial found no recurrence-free survival benefit of sorafenib or sunitinib over placebo, while S-TRAC (Clinical Trial Comparing Efficacy and Safety of Sunitinib versus Placebo for the Treatment of Patients at High Risk of Recurrent Renal Cell Cancer, NCT00375674) revealed that 1 year of sunitinib improved recurrence-free survival by 1.2 years. Vaccine based treatments and antibody dependent cytotoxic agents have had mixed results. New trials evaluating immune checkpoint inhibitors are planned, given the impressive efficacy and tolerability as second line agents in metastatic disease. Future adjuvant trials are likely to be guided by molecular signatures to treat patients most likely to benefit.

CONCLUSIONS

Based on the available data, there appears to be no role for traditional immunotherapy as adjuvant treatment in patients with high risk localized kidney cancer following surgical resection. S-TRAC provides evidence that 1 year of adjuvant sunitinib in patients with higher risk locoregional disease increases the median time to recurrence. However, the data on overall survival are immature and adverse effects are common. Results from trials investigating immune checkpoint inhibitors are highly anticipated.

Current Role of Renal Biopsy in Urologic Practice

Most small renal masses (SRMs) are indolent. In fact, only approximately 80% of SRMs are malignant. Furthermore, SRMs are commonly detected in elderly and comorbid patients. Therefore, opportunities for better care intensity calibration exist. Renal mass biopsy (RMB), when appropriately used, is a valuable clinical tool to help with critical clinical decision-making in patients with SRM. This article summarizes the role of modern RMB in helping gauge care for patients with SRM.

Renal Tumor Biopsy Technique

Objective:

To review hot issues and future direction of renal tumor biopsy (RTB) technique.

Data Sources:

The literature concerning or including RTB technique in English was collected from PubMed published from 1990 to 2015.

Study Selection:

We included all the relevant articles on RTB technique in English, with no limitation of study design.

Results:

Computed tomography and ultrasound were usually used for guiding RTB with respective advantages. Core biopsy is more preferred over fine needle aspiration because of superior accuracy. A minimum of two good-quality cores for a single renal tumor is generally accepted. The use of coaxial guide is recommended. For biopsy location, sampling different regions including central and peripheral biopsies are recommended.

Conclusion:

In spite of some limitations, RTB technique is relatively mature to help optimize the treatment of renal tumors.

Prognostic value of tissue-based biomarker signature in clear cell renal cell carcinoma

OBJECTIVE

To improve risk stratification for recurrence prognostication in patients with localised clear cell renal cell carcinoma (ccRCC).

PATIENTS AND METHODS

In all, 367 patients with non-metastatic ccRCC were included. The cohort was divided into a training and validation set. Using tissue microarrays, immunostaining was performed for 24 biomarkers representative of key pathways in ccRCC. Using Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression, we identified several markers that were used to construct a risk classifier for risk of disease recurrence.

RESULTS

The median (interquartile range) follow-up was 63.5 (24.0-85.3) months. Five out of 24 markers were selected by LASSO Cox regression for the risk classifier: N-cadherin, E-cadherin, Ki67, cyclin D1 and phosphorylated eukaryotic initiation factor 4E binding protein-1 (p-4EBP1). Patients were classified as either low, intermediate or high risk of disease recurrence by tertiles of risk score. The 5-year recurrence-free survival (RFS) was 93.8%, 87.7% and 70% for patients with low-, intermediate- and high-risk scores, respectively (P < 0.001). Patients with a high marker score had worse RFS on multivariate analysis adjusted for age, gender, race and the Mayo Clinic Stage, Size, Grade, and Necrosis (SSIGN) score (hazard ratio 3.66, 95% confidence interval 1.58-8.49, P = 0.003 for high vs low marker score in the overall cohort). The five-marker classifier increased the concordance index of the clinical model in both the training and validation sets.

CONCLUSION

We developed a five-marker-based prognostic tool that can effectively classify patients with ccRCC according to risk of disease recurrence after surgery. This tool, if prospectively validated, could provide individualised risk estimation for patients with ccRCC.