Comparison of RENAL, PADUA, CSA, and PAVP Nephrometry Scores in Predicting Functional Outcomes After Partial Nephrectomy.

OBJECTIVE: To evaluate the accuracy of radius, exophytic/endophytic, nearness to collecting system/sinus, anterior/posterior, and location relative to polar lines (RENAL), preoperative aspects and dimensions used for anatomical classification (PADUA), contact surface area (CSA), and preoperative assessment of volume preservation (PAVP) nephrometry scores in predicting postoperative renal functional outcomes after partial nephrectomy (PN). Few studies have compared the accuracy of tumor complexity systems directly in the same set of PN patients. MATERIALS AND METHODS: Patients treated with robotic, laparoscopic, or open PN having available imaging (n = 344) were examined. The ability of 4 systems to predict nadir estimated glomerular filtration rate (eGFR [median postoperative day 1]) and new baseline eGFR (median: 0.95 year) was analyzed using univariable and multivariable models. RESULTS: Median preoperative, nadir, and new baseline eGFR were 79 (interquartile range [IQR]: 63-97), 65 (IQR: 47-85), and 80 (IQR: 63-99) mL/min/1.73 m2. Multivariable models incorporating RENAL, PADUA, CSA, or PAVP were similarly predictive of postoperative renal function (nadir eGFR: R2 = 0.683-0.688, new baseline eGFR: R2 = 0.775). In univariable analysis, all 4 complexity systems were predictors of nadir GFR (each P < .05), with RENAL (P = .045), CSA (P = .027), and PAVP (P = .012) also significantly predicting nadir eGFR in multivariable models. No complexity system was significantly associated with new baseline eGFR in multivariable analysis, with only RENAL (P = .023) and PAVP (P = .049) having a statistically significant association in univariable analysis. CONCLUSION: RENAL, PADUA, CSA, and PAVP are all predictors of early postoperative renal function. RENAL and PAVP provided the greatest predictive ability for later renal functional outcomes.

Recognizing the Continuous Nature of Expression Heterogeneity and Clinical Outcomes in Clear Cell Renal Cell Carcinoma.

Clear cell renal cell carcinoma (ccRCC) has been previously classified into putative discrete prognostic subtypes by gene expression profiling. To investigate the robustness of these proposed subtype classifications, we evaluated 12 public datasets, together with a new dataset of 265 ccRCC gene expression profiles. Consensus clustering showed unstable subtype and principal component analysis (PCA) showed a continuous spectrum both within and between datasets. Considering the lack of discrete delineation and continuous spectrum observed, we developed a continuous quantitative prognosis score (Continuous Linear Enhanced Assessment of RCC, or CLEAR score). Prognostic performance was evaluated in independent cohorts from The Cancer Genome Atlas (TCGA) (n = 414) and EMBL-EBI (n = 53), CLEAR score demonstrated both superior prognostic estimates and inverse correlation with anti-angiogenic tyrosine-kinase inhibition in comparison to previously proposed discrete subtyping classifications. Inverse correlation with high-dose interleukin-2 outcomes was also observed for the CLEAR score. Multiple somatic mutations (VHL, PBRM1, SETD2, KDM5C, TP53, BAP1, PTEN, MTOR) were associated with the CLEAR score. Application of the CLEAR score to independent expression profiling of intratumoral ccRCC regions demonstrated that average intertumoral heterogeneity exceeded intratumoral expression heterogeneity. Wider investigation of cancer biology using continuous approaches may yield insights into tumor heterogeneity; single cell analysis may provide a key foundation for this approach.

Exome-wide Sequencing Shows Low Mutation Rates and Identifies Novel Mutated Genes in Seminomas.

BACKGROUND: Testicular germ cell tumors are the most common cancer diagnosed in young men, and seminomas are the most common type of these cancers. There have been no exome-wide examinations of genes mutated in seminomas or of overall rates of nonsilent somatic mutations in these tumors. OBJECTIVE: The objective was to analyze somatic mutations in seminomas to determine which genes are affected and to determine rates of nonsilent mutations. DESIGN, SETTING, AND PARTICIPANTS: Eight seminomas and matched normal samples were surgically obtained from eight patients. INTERVENTION: DNA was extracted from tissue samples and exome sequenced on massively parallel Illumina DNA sequencers. Single-nucleotide polymorphism chip-based copy number analysis was also performed to assess copy number alterations. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The DNA sequencing read data were analyzed to detect somatic mutations including single-nucleotide substitutions and short insertions and deletions. The detected mutations were validated by independent sequencing and further checked for subclonality. RESULTS AND LIMITATIONS: The rate of nonsynonymous somatic mutations averaged 0.31 mutations/Mb. We detected nonsilent somatic mutations in 96 genes that were not previously known to be mutated in seminomas, of which some may be driver mutations. Many of the mutations appear to have been present in subclonal populations. In addition, two genes, KIT and KRAS, were affected in two tumors each with mutations that were previously observed in other cancers and are presumably oncogenic. CONCLUSIONS: Our study, the first report on exome sequencing of seminomas, detected somatic mutations in 96 new genes, several of which may be targetable drivers. Furthermore, our results show that seminoma mutation rates are five times higher than previously thought, but are nevertheless low compared to other common cancers. Similar low rates are seen in other cancers that also have excellent rates of remission achieved with chemotherapy. PATIENT SUMMARY: We examined the DNA sequences of seminomas, the most common type of testicular germ cell cancer. Our study identified 96 new genes in which mutations occurred during seminoma development, some of which might contribute to cancer development or progression. The study also showed that the rates of DNA mutations during seminoma development are higher than previously thought, but still lower than for other common solid-organ cancers. Such low rates are also observed among other cancers that, like seminomas, show excellent rates of disease remission after chemotherapy.

CUL3 and NRF2 mutations confer an NRF2 activation phenotype in a sporadic form of papillary renal cell carcinoma.

Sustained activation of the stress-regulated transcription factor NRF2 (NFE2L2) is a prominent feature of many types of cancer, implying that mutations driving NRF2 may be important to tumor progression. In hereditary type 2 papillary renal cell carcinoma (PRCC2, also known as hereditary leiomyomatosis and renal cell cancer), NRF2 activation is a direct consequence of the accumulation of intracellular fumarate, a result of fumarate hydratase (FH) inactivation, but it is not clear how NRF2 may be activated in sporadic forms of PRCC2. Here we show that somatic mutations in NRF2, CUL3, and SIRT1 are responsible for driving the NRF2 activation phenotype in sporadic PRCC2. Transcriptome sequencing revealed the expression pattern of mutant alleles of NRF2, CUL3, and SIRT1 and also confirmed NRF2 activation in clinical specimens. Our results show a convergence in somatic mutations in sporadic PRCC2 with FH mutation in hereditary PRCC2.

Expression of the PTTG1 oncogene is associated with aggressive clear cell renal cell carcinoma.

The pituitary tumor transforming gene (PTTG1) is a recently discovered oncogene implicated in malignant progression of both endocrine and nonendocrine malignancies. Clear cell renal cell carcinoma (ccRCC) is cytogenetically characterized by chromosome 3p deletions that harbor the ccRCC-related von Hippel-Lindau, PBRM1, BAP1, and SETD2 tumor suppressor genes, along with chromosome 5q amplifications where the significance has been unclear. PTTG1 localizes to the chromosome 5q region where amplifications occur in ccRCC. In this study, we report a functional role for PTTG1 in ccRCC tumorigenesis. PTTG1 was amplified in ccRCC, overexpressed in tumor tissue, and associated with high-grade tumor cells and poor patient prognosis. In preclinical models, PTTG1 ablation reduced tumorigenesis and invasion. An analysis of gene expression affected by PTTG1 indicated an association with invasive and metastatic disease. PTTG1-dependent expression of the RhoGEF proto-oncogene ECT2 was observed in a number of ccRCC cell lines. Moreover, ECT2 expression correlated with PTTG1 expression and poor clinical features. Together, our findings reveal features of PTTG1 that are consistent with its identification of an oncogene amplified on chromsome 5q in ccRCC, where it may offer a novel therapeutic target of pathologic significance in this disease.

RENAL nephrometry score predicts surgery type independent of individual surgeon's use of nephron-sparing surgery.

OBJECTIVE: To evaluate whether surgeon factors, such as training and experience, have a strong impact on selection of surgical approach for treating renal cancers. Nephron-sparing surgery (NSS) has become the reference standard for tumors that are amenable to such an approach. Tumor size and configuration are important predictors of usage of NSS. The RENAL nephrometry score (RNS) has been developed to standardize reporting of tumor complexity, but the performance of this method within individual surgeons' practices, particularly in the community-based setting, has not been evaluated previously. METHODS: Clinical data and RNS were collected retrospectively for 300 cases performed by 5 different surgeons with varying NSS usage rates (31-74%). RESULTS: Mean RNS for patients undergoing NSS (6.0) and radical nephrectomy (RN) (9.3) differed significantly (P <.0001), as did tumor size (2.8 vs 6.3 cm, P <.0001). RNS was a better predictor of surgery type (R(2) = .55) than was tumor size (R(2) = .43) for all 5 surgeons. In univariable analysis, individual surgeon, surgery year, glomerular filtration rate, tumor size, RNS, and each RNS component predicted NSS vs RN (each P <.05). In multivariable analysis, surgeon, tumor size, exophytic amount, and nearness to collecting system were independent predictors of NSS usage (P <.001). CONCLUSION: Despite significant variation in NSS usage by individual surgeons at a community-based health system, RNS appears to be valid for both low and high usage. With increasing usage of NSS worldwide, RNS appears to reflect current patterns and may inform future practice for surgeons of all backgrounds.

Increasing use of kidney sparing approaches for localized renal tumors in a community based health system: impact on renal functional outcomes.

PURPOSE: The use of partial nephrectomy and other kidney sparing approaches in national databases lags far behind practice patterns at major academic centers. The reasons and impact of this disparity are largely unknown. We examined the trend in kidney sparing approaches in a community based health care system to examine associated factors and impact on renal function. MATERIALS AND METHODS: We evaluated the records of all patients who underwent intervention for suspicious renal lesions at a single health care system between 1998 and 2010. Demographic, pathological and functional data were collected in an institutional review board approved database. RESULTS: During the 12 study years a kidney sparing approach was used in 35% of patients with localized renal tumors. A clear increase in the proportion of patients undergoing a kidney sparing approach was observed, including 11%, 23% and 49% during successive 4-year periods. A kidney sparing approach was used in 81% of patients with tumors 4 cm or less during 2009 to 2010. Although high volume (greater than 20 cases annually), more recently graduating (2001 or later) and fellowship trained surgeons had higher kidney sparing approach use overall (each p <0.03), the proportion of patients who underwent a kidney sparing approach increased with time in all study groups (p <0.0001). The renal functional loss in patients who underwent a kidney sparing approach and radical nephrectomy was 2% and 30%, respectively (p <0.001). CONCLUSIONS: The kidney sparing approach rate in a community based health care system can approach rates at major academic centers. This practice pattern appears related to the addition of recent graduates and urological oncologists but also to a change in long-standing practice patterns of other community urologists. These data suggest that the use of kidney sparing approaches nationwide and the associated renal functional benefits may continue to increase.

Exome sequencing identifies frequent mutation of the SWI/SNF complex gene PBRM1 in renal carcinoma.

The genetics of renal cancer is dominated by inactivation of the VHL tumour suppressor gene in clear cell carcinoma (ccRCC), the commonest histological subtype. A recent large-scale screen of ∼3,500 genes by PCR-based exon re-sequencing identified several new cancer genes in ccRCC including UTX (also known as KDM6A), JARID1C (also known as KDM5C) and SETD2 (ref. 2). These genes encode enzymes that demethylate (UTX, JARID1C) or methylate (SETD2) key lysine residues of histone H3. Modification of the methylation state of these lysine residues of histone H3 regulates chromatin structure and is implicated in transcriptional control. However, together these mutations are present in fewer than 15% of ccRCC, suggesting the existence of additional, currently unidentified cancer genes. Here, we have sequenced the protein coding exome in a series of primary ccRCC and report the identification of the SWI/SNF chromatin remodelling complex gene PBRM1 (ref. 4) as a second major ccRCC cancer gene, with truncating mutations in 41% (92/227) of cases. These data further elucidate the somatic genetic architecture of ccRCC and emphasize the marked contribution of aberrant chromatin biology.

Systematic sequencing of renal carcinoma reveals inactivation of histone modifying genes.

Clear cell renal cell carcinoma (ccRCC) is the most common form of adult kidney cancer, characterized by the presence of inactivating mutations in the VHL gene in most cases, and by infrequent somatic mutations in known cancer genes. To determine further the genetics of ccRCC, we have sequenced 101 cases through 3,544 protein-coding genes. Here we report the identification of inactivating mutations in two genes encoding enzymes involved in histone modification-SETD2, a histone H3 lysine 36 methyltransferase, and JARID1C (also known as KDM5C), a histone H3 lysine 4 demethylase-as well as mutations in the histone H3 lysine 27 demethylase, UTX (KMD6A), that we recently reported. The results highlight the role of mutations in components of the chromatin modification machinery in human cancer. Furthermore, NF2 mutations were found in non-VHL mutated ccRCC, and several other probable cancer genes were identified. These results indicate that substantial genetic heterogeneity exists in a cancer type dominated by mutations in a single gene, and that systematic screens will be key to fully determining the somatic genetic architecture of cancer.

Activation of the PI3K/AKT pathway induces urothelial carcinoma of the renal pelvis: identification in human tumors and confirmation in animal models.

Urothelial carcinoma of the renal pelvis is a deadly disease with an unclear tumorigenic mechanism. We conducted gene expression profiling on a set of human tumors of this type and identified a phosphatidylinositol 3-kinase (PI3K)/AKT activation expression signature in 76.9% (n = 13) of our samples. Sequence analysis found both activating mutations of PIK3CA (13.6%, n = 22) and loss of heterozygosity at the PTEN locus (25%, n = 8). In contrast, none of the other subtypes of kidney neoplasms (e.g., clear-cell renal cell carcinoma) harbored PIK3CA mutations (n = 87; P < 0.001). Immunohistochemical analysis of urothelial carcinoma samples found loss of PTEN protein expression (36.4%, n = 11) and elevation of phosphorylated mammalian target of rapamycin (mTOR; 63.6%, n = 11). To confirm the role of the PI3K/AKT pathway in urothelial carcinoma, we generated mice containing biallelic inactivation of Pten in the urogenital epithelia. These mice developed typical renal pelvic urothelial carcinomas, with an incidence of 57.1% in mice older than 1 year. Laser capture microdissection followed by PCR confirmed the deletion of Pten exons 4 and 5 in the animal tumor cells. Immunohistochemical analyses showed increased phospho-mTOR and phospho-S6K levels in the animal tumors. Renal lymph node metastases were found in 15.8% of the animals with urothelial carcinoma. In conclusion, we identified and confirmed an important role for the PI3K/AKT pathway in the development of urothelial carcinoma and suggested that inhibitors of this pathway (e.g., mTOR inhibitor) may serve as effective therapeutic agents.

MicroRNA profiling of human kidney cancer subtypes.

Although the functions of most of the identified microRNAs (miRNAs) have yet to be determined, their use as potential biomarkers has been considered in several human diseases and cancers. In order to understand their role in renal tumorigenesis, we screened the expression levels of miRNAs in four subtypes of human renal neoplasms: clear cell, papillary, and chromophobe renal cell carcinomas (RCC) as well as benign renal oncocytomas. We found a unique miRNA signature for each subtype of renal tumor. Furthermore, we identified unique patterns of miRNA expression distinguishing clear cell RCC cases with favorable vs. unfavorable outcome. Specifically, we documented the overexpression of miRs 424 and 203 in clear cell RCC relative to papillary RCC, as well as the inversion of expression of miR-203 in the benign oncocytomas (where it is underexpressed relative to normal kidney) as compared to the malignant chromophobe RCC (where it is overexpressed relative to normal kidney). Our results further suggest that overexpression of S-has-miR-32 is associated with poor outcome. While previous studies have identified unique miRNA expression pattern distinguishing tumors from different anatomical locations, here we extend this principle to demonstrate the utility of miRNA expression profiling to identify a signature unique to various tumor subtypes at a single anatomic locus.

A comparison study reveals important features of agreement and disagreement between summarized DNA and RNA data obtained from renal cell carcinoma.

Cytogenetic abnormalities, such as DNA amplifications and deletions, often lead to significant changes in gene expression levels within a chromosomal region. Instead of generating additional DNA copy number data, one method to identify DNA copy number abnormalities has been to search existing gene expression data for regional perturbations in gene expression. However, it is not clear how well this surrogate method performs in the examination of individual tumors and how we can use both DNA and RNA data to identify candidate genes that may be mutated. Here we report a comparison study using summarized DNA and RNA data to identify chromosomal abnormalities in human samples. Forty-four tissue samples from patients diagnosed as having renal cell carcinoma (RCC) were collected, together with 15 normal kidney samples as controls, and for each sample the genome-wide DNA and RNA data were obtained for comparison using Affymetrix 100K SNP and HGU133plus2 gene expression chips, respectively. The DNA and RNA data was summarized by both chromosome arm and cytogenetic banding patterns and compared. The result of this analysis revealed that the two summarized data sets used to identify cytogenetic changes agreed well. However, some differences between the two were also identified. These differences of large-scale gene expression deregulation without evidence of the comparable DNA copy number alterations may be the result of known mechanisms, such as large-scale methylation or chromosome inactivation, or may be the result of some new mechanism of DNA-RNA translation. The usefulness of the combined data set for identifying regions of mutated genes is also discussed.

A molecular classification of papillary renal cell carcinoma.

Despite the moderate incidence of papillary renal cell carcinoma (PRCC), there is a disproportionately limited understanding of its underlying genetic programs. There is no effective therapy for metastatic PRCC, and patients are often excluded from kidney cancer trials. A morphologic classification of PRCC into type 1 and 2 tumors has been recently proposed, but its biological relevance remains uncertain. We studied the gene expression profiles of 34 cases of PRCC using Affymetrix HGU133 Plus 2.0 arrays (54,675 probe sets) using both unsupervised and supervised analyses. Comparative genomic microarray analysis was used to infer cytogenetic aberrations, and pathways were ranked with a curated database. Expression of selected genes was validated by immunohistochemistry in 34 samples with 15 independent tumors. We identified two highly distinct molecular PRCC subclasses with morphologic correlation. The first class, with excellent survival, corresponded to three histologic subtypes: type 1, low-grade type 2, and mixed type 1/low-grade type 2 tumors. The second class, with poor survival, corresponded to high-grade type 2 tumors (n = 11). Dysregulation of G1-S and G2-M checkpoint genes were found in class 1 and 2 tumors, respectively, alongside characteristic chromosomal aberrations. We identified a seven-transcript predictor that classified samples on cross-validation with 97% accuracy. Immunohistochemistry confirmed high expression of cytokeratin 7 in class 1 tumors and of topoisomerase IIalpha in class 2 tumors. We report two molecular subclasses of PRCC, which are biologically and clinically distinct and may be readily distinguished in a clinical setting.

Molecular subclassification of kidney tumors and the discovery of new diagnostic markers.

We analysed the expression profiles of 70 kidney tumors of different histological subtypes to determine if these subgroups can be distinguished by their gene expression profiles, and to gain insights into the molecular mechanisms underlying each subtype. In all, 39 clear cell renal cell carcinomas (RCC), seven primary and one metastatic papillary RCC, six granular RCC from old classification, five chromophobe RCC, five sarcomatoid RCC, two oncocytomas, three transitional cell carcinomas (TCC) of the renal pelvis and five Wilms' tumors were compared with noncancerous kidney tissues using microarrays containing 19,968 cDNAs. Based on global gene clustering of 3560 selected cDNAs, we found distinct molecular signatures in clear cell, papillary, chromophobe RCC/oncocytoma, TCC and Wilms' subtypes. The close clustering in each of these subtypes points to different tumorigenic pathways as reflected by their histological characteristics. In the clear cell RCC clustering, two subgroups emerged that correlated with clinical outcomes, confirming the potential use of gene expression signatures as a predictor of survival. In the so-called granular cell RCC (terminology for a subtype that is no longer preferred), none of the six cases clusters together, supporting the current view that they do not represent a single entity. Blinded histological re-evaluation of four cases of 'granular RCC' led to their reassignment to other existing histological subtypes, each compatible with our molecular classification. Finally, we found gene sets specific to each subtype. In order to establish the use of some of these genes as novel subtype markers, we selected four genes and performed immunohistochemical analysis on 40 cases of primary kidney tumors. The results were consistent with the gene expression microarray data: glutathione S-transferase alpha was highly expressed in clear cell RCC, alpha methylacyl racemase in papillary RCC, carbonic anhydrase II in chromophobe RCC and K19 in TCC. In conclusion, we demonstrated that molecular profiles of kidney cancers closely correlated with their histological subtypes. We have also identified in these subtypes differentially expressed genes that could have important diagnostic and therapeutic implications.