Non–Clear Cell Renal Cell Carcinomas: From Shadow to Light

2018 ◽  
Vol 36 (36) ◽  
pp. 3624-3631 ◽  
Author(s):  
Laurence Albiges ◽  
Ronan Flippot ◽  
Nathalie Rioux-Leclercq ◽  
Toni K. Choueiri

Non–clear cell renal cell carcinomas (RCCs) account for up to 25% of kidney cancers and encompass distinct diseases with distinct pathologic features, different molecular alterations, and various patterns of response to systemic therapies. Recent advances in molecular biology and large collaborative efforts helped to better define the oncogenic mechanisms at play in papillary, chromophobe, collecting duct, medullary, translocation, and sarcomatoid RCCs. Papillary RCCs are divided into several subsets of tumors characterized by distinct gene expression profiles, chromatin remodeling genes, cell cycle changes, and alterations of the MET pathway. Chromophobe RCC genomic analysis revealed mostly metabolic pathway alterations with mitochondrial dysfunctions. Translocation RCCs are characterized by MITF fusions and wide genomic reprogramming. Collecting duct carcinomas are distinct entities from upper tract urothelial carcinomas associated with high T-cell infiltration and metabolic alterations. Medullary RCCs present alterations of the INI1 gene and rhabdoid features at pathologic analysis. Finally, sarcomatoid RCCs represent sarcomatoid differentiation for any subsets of RCCs with specific alterations associated with mesenchymal dedifferentiation. From the standpoint of systemic therapy, more than a decade of using VEGF and mTOR inhibitors showed that they generally had limited efficacy in non–clear cell RCCs compared with clear cell RCCs. MET inhibitors are actively being developed for papillary RCC with a specific focus on MET-driven tumors. Other strategies under investigation include CDK4/6 inhibitors in tumors with cell cycle alterations and EZH2 inhibitors in RCCs with INI1 loss. The emergence of immune checkpoint inhibitors and combination strategies enlarges the spectrum of investigational treatments. Better understanding of driver and passenger alterations and better patient stratification along with dedicated clinical networks will be key to improving the management of these rare tumors.

2018 ◽  
Vol 36 (36) ◽  
pp. 3553-3559 ◽  
Author(s):  
Sabina Signoretti ◽  
Abdallah Flaifel ◽  
Ying-Bei Chen ◽  
Victor E. Reuter

Renal cell carcinoma (RCC) is not a single entity but includes various tumor subtypes that have been identified on the basis of either characteristic pathologic features or distinctive molecular changes. Clear cell RCC is the most common type of RCC and is characterized by dysregulation of the von Hippel Lindau/hypoxia-inducible factor pathway. Non–clear cell RCC represents a more heterogeneous group of tumors with diverse histopathologic and molecular features. In the past two decades, the improved understanding of the molecular landscape of RCC has led to the development of more effective therapies for metastatic RCC, which include both targeted agents and immune checkpoint inhibitors. Because only subsets of patients with metastatic RCC respond to a given treatment, predictive biomarkers are needed to guide treatment selection and sequence. In this review, we describe the key histologic features and molecular alterations of RCC subtypes and discuss emerging tissue-based biomarkers of response to currently available therapies for metastatic disease.


2020 ◽  
Vol 38 (6_suppl) ◽  
pp. TPS768-TPS768
Author(s):  
Craig Gedye ◽  
David William Pook ◽  
Laurence Eliot Miles Krieger ◽  
Carole A. Harris ◽  
Jeffrey C. Goh ◽  
...  

TPS768 Background: Renal cell carcinomas (RCC) are predominantly the clear cell (cc) subtype, with a unique biology, characterized by sensitivity to angiogenesis inhibition. However vascular endothelial growth factor-tyrosine kinase inhibitors elicit modest responses in people with rare variant non-clear cell (ncc) RCC. Immune checkpoint inhibitors (ICI) are active against many cancers, but people with rare variant nccRCC have been excluded from frontline trials despite experiencing a more aggressive disease course and poorer prognosis compared to those with ccRCC. UNISON (NCT03177239) aims to test 2 ideas; the activity of ICI in nccRCC, and the novel sequencing strategy of anti-programmed cell death protein (PD)1 immunotherapy, followed by the combination of anti-PD1 and anti-cytotoxic T-lymphocyte-associated protein (CTLA)4 blockade, in people failed by single agent treatment. Methods: This single-arm, two-part trial recruits people of good performance status suffering metastatic or locally advanced unresectable rare variant nccRCC, including but not limited to papillary (type 1/2), chromophobe, sarcomatoid, Xp11 translocation, collecting duct, and unclassified histological subtypes. Participants are offered fixed dose nivolumab at 240mg every two weeks in Part 1 of the trial. If they experience progressive disease, eligible participants may proceed to Part 2 consisting of nivolumab (3mg/kg) plus ipilimumab (1mg/kg) every 3 weeks for up to 4 doses. People experiencing disease control after single-agent or combined ICI are eligible to continue treatment for up to 1 year. UNISON is powered to distinguish a clinically non-relevant objective tumor response rate (OTRR) of 15% in people taking combination ICI whose cancers are refractory to single-agent PD1, versus a clinically-relevant OTRR of 30% at 5% level of significance with 80% power. 85 participants were recruited in Part 1, on the assumption that 55% of those entering Part 1 will be eligible for inclusion in Part 2. Enrolment commenced in November 2017 and was completed ahead of schedule in September 2019. Of the 48 participants projected to experience progression on anti-PD1 immunotherapy, 36 have so far commenced combination ICI in Part 2. Clinical trial information: NCT03177239.


Author(s):  
Zhiwen Xie ◽  
Lei Wu ◽  
Shan Hua ◽  
Yongqing Zhang ◽  
Fei Shi ◽  
...  

Clear cell renal cell carcinomas (ccRCCs) are highly immune infiltrates, and many of them respond to immunotherapy with checkpoint inhibitors including anti-PD-L1 or anti-PD1 agents. However, the effect of immune genes on clinical outcomes in ccRCCs has not been fully studied. Here, we show in this study that an immune-associated gene panel has a prognostic value for clear cell renal cell carcinomas. We performed single-sample gene set enrichment analysis (ssGSEA) and cell type identification by estimating subsets of RNA transcripts (CIBERSORT) algorithms on patient-matched normal renal and RCC tissues to characterize two immunophenotypes and immunological characteristic subpopulations. Furthermore, LASSO Cox regression was applied to develop a novel prognosis-associated model for ccRCC patients based on an immune-gene panel. The results were verified by the Gene Expression Omnibus (GEO) dataset and coordinated with the clinicopathological characteristics of ccRCCs, along with genomic signatures. Finally, based on the above perspectives, we generated a nomogram with a high prognostic efficiency for ccRCC patients. Overall, this study offers a unique perspective that can contribute to improving the accuracy of prognosis prediction and treatment with immunotherapy.


2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Sören Müller ◽  
Katharina Nowak

Altered microRNA (miRNA) expression is a hallmark of many cancer types. The combined analysis of miRNA and messenger RNA (mRNA) expression profiles is crucial to identifying links between deregulated miRNAs and oncogenic pathways. Therefore, we investigated the small non-coding (snc) transcriptomes of nine clear cell renal cell carcinomas (ccRCCs) and adjacent normal tissues for alterations in miRNA expression using a publicly available small RNA-Sequencing (sRNA-Seq) raw-dataset. We constructed a network of deregulated miRNAs and a set of differentially expressed genes publicly available from an independent study toin silicodetermine miRNAs that contribute to clear cell renal cell carcinogenesis. From a total of 1,672 sncRNAs, 61 were differentially expressed across all ccRCC tissue samples. Several with known implications in ccRCC development, like the upregulated miR-21-5p, miR-142-5p, as well as the downregulated miR-106a-5p, miR-135a-5p, or miR-206. Additionally, novel promising candidates like miR-3065, whichi.a.targetsNRP2andFLT1, were detected in this study. Interaction network analysis revealed pivotal roles for miR-106a-5p, whose loss might contribute to the upregulation of 49 target mRNAs, miR-135a-5p (32 targets), miR-206 (28 targets), miR-363-3p (22 targets), and miR-216b (13 targets). Among these targets are the angiogenesis, metastasis, and motility promoting oncogenesc-MET,VEGFA,NRP2, andFLT1, the latter two coding for VEGFA receptors.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 4571-4571
Author(s):  
Gabriel G. Malouf ◽  
Ronan Flippot ◽  
Roger Mouawad ◽  
Hui Yao ◽  
Eva Comperat ◽  
...  

4571 Background: Integrative analysis of clear-cell renal cell carcinomas (ccRCC) has revealed four transcriptomic subgroups associated with distinct patients outcomes. Integrative analysis of sarcomatoid ccRCC which represent the most agressive forms of ccRCC remains unknown. Methods: We performed integrative analysis of sarcomatoid (n = 28) and Fuhrman grade IV ccRCC (n = 9) using whole-exome sequencing (n = 37), RNA-sequencing (n = 32), and DNA methylation profiling by Infinium 450K arrays (n = 31). Correlation with clinico-pathlogical tumor features and patients outcomes were performed. Results: The most frequent somatic mutations in sarcomatoid ccRCC were VHL (71%), PBRM1 (50%), SETD2 (21%), BAP1 (11%), and TP53 (11%). Hierarchical unsupervised clustering of gene expression revealed two transcriptomic subgroups C1 and C2 which do not differ in term of clinical features, presence of sarcomatoid dedifferentiation and patients outcomes. Furthermore, these clusters do not differ according to their genomic features ( VHL, PBRM1 and SETD2 mutations) or their mutational loads. Strikingly, C1 cluster was highly enriched for genes related to T cell receptor signaling pathway (p = 2.6x10-6) and adapative immunity (p = 8.5x10-5); in addition, the C1 « immune » subgroup was characterized by up-regulation of genes related to cell cycle. Conversely, C2 cluster revealed down-regulation of metabolic pathways (p = 7. 5x10-5). At the epigenetic level, methylome clustering revealed two distinct epi-clusters, epi-C1 (n = 10) and epi-C2 (n = 21); patients with tumors belonging to C2 epi-cluster displayed 9p loss and harbored inferior progression-free survival as compared to those in C1 epi-cluster (11 months versus NR ; P = 0.02); of note, this was independent of clinico-pathological tumor features and transcriptomic classification. Conclusions: Our data suggest that genetic and epigenetic landscapes of sarcomatoid ccRCC might not differ from grade IV ccRCC. In addition, we discovered an immune sarcomatoid ccRCC cluster. This finding provides a rationale for use of immune checkpoint inhibitors in sarcomatoid ccRCC.


2016 ◽  
Vol 195 (4S) ◽  
Author(s):  
Vinay Duddalwar ◽  
Xuejun Zhang ◽  
Darryl Hwang ◽  
Steven Cen ◽  
Felix Yap ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Kang Yang ◽  
Xiao-fan Lu ◽  
Peng-cheng Luo ◽  
Jie Zhang

Background. Clear cell renal cell carcinoma (ccRCC), the most common subtype of renal cell carcinoma (RCC), usually is representative of metastatic heterogeneous neoplasm that links with poor prognosis, but the pathogenesis of ccRCC remains unclear. Currently, numerous evidences prove that long noncoding RNAs (lncRNAs) are considered as competing endogenous RNA (ceRNA) to participate in cellular processes of tumors. Therefore, to investigate the underlying mechanisms of ccRCC, the expression profiles of lncRNAs, miRNAs, and mRNAs were downloaded from the Cancer Genome Atlas (TCGA) database. A total of 1526 differentially expressed lncRNAs (DElncRNAs), 54 DEmiRNAs, and 2352 DEmRNAs were identified. To determine the connection of them, all DElncRNAs were input to the miRcode database. The results indicated that 85 DElncRNAs could connect with 9 DEmiRNAs in relation to our study. Then, databases of TargetScan and miRDB were used to search for targeted genes with reference to DEmiRNAs. The results showed that 203 out of 2352 targeted genes were identified in our TCGA set. Subsequently, ceRNA network was constructed according to Cytoscape and the targeted genes were functionally analyzed to elucidate the mechanisms of DEmRNAs. The results of survival analysis and regression analysis indicated that 6 DElncRNAs named COL18A1-AS1, WT1-AS, LINC00443, TCL6, AL356356.1, and SLC25A5-AS1 were significantly correlative with the clinical traits of ccRCC patients and could be served as predictors for ccRCC. Finally, these findings were validated by quantitative RT-PCR (qRT-PCR). Based on these discoveries, we believe that this identified ceRNA network will provide a novel perspective to elucidate ccRCC pathogenesis.


2014 ◽  
Vol 138 (12) ◽  
pp. 1673-1679 ◽  
Author(s):  
Lan L. Gellert ◽  
Rohit Mehra ◽  
Ying-Bei Chen ◽  
Anuradha Gopalan ◽  
Samson W. Fine ◽  
...  

Context While biopsies are now increasingly being performed for the diagnosis of renal cortical neoplasms, the influence of the rendered pathological diagnoses on the clinical management is only rarely documented. Objectives To report our experience with consecutively performed renal biopsies and the potential impact of the diagnosis on subsequent clinical management. Design Material from needle biopsies performed consecutively at our institution between 2006 and 2011 was reviewed. The influence of the reported pathology results on the clinical management was determined from patient follow-up medical record review. Results In total, 218 percutaneous biopsies for renal masses were performed during this period. Among them, 181 (83%) yielded neoplastic tissue, including 81 clear cell renal cell carcinomas, 29 low-grade oncocytic neoplasms, 7 papillary renal cell carcinomas, 5 clear cell papillary renal cell carcinomas, 5 angiomyolipomas, and 14 urothelial carcinomas. Fourteen additional cases (6%) contained lesional material from clinically known nonneoplastic processes, for a total diagnostic yield of 89%. Twenty-three (11%) were nonrepresentative of lesional tissue. In 10 of these, repeat biopsies or resections established the diagnosis of renal tumors. Biopsy diagnosis was confirmed in 29 of 30 cases (97%) on subsequent nephrectomy. Following the biopsy diagnosis, there were significant differences in the clinical management; overall, 79% of clear cell renal cell carcinomas received therapeutic interventions, and 17% were put on active surveillance. In contrast, 77% of the benign or low-grade lesions were put on active surveillance. Conclusions Accurate and specific diagnosis can be rendered on renal core biopsy in most renal tumors, and the biopsy diagnosis can have a definitive role in their clinical management.


Sign in / Sign up

Export Citation Format

Share Document