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Table of Contents
Year : 2019  |  Volume : 11  |  Issue : 1  |  Page : 6-14  

Chromosomal aberrations in renal cell carcinoma: An overview with implications for clinical practice

1 Department of Urology, Academic Urology Unit, School of Medicine, Ninewells Hospital, Dundee, Scotland, UK
2 Department of Urology, Clinical Genetic Unit, Ninewells Hospital, NHS Tayside, Dundee, Scotland, UK

Date of Submission28-Feb-2018
Date of Acceptance06-Sep-2018
Date of Web Publication21-Jan-2019

Correspondence Address:
Prof. Ghulam Nabi
Department of Urology, Academic Urology Unit, School of Medicine, Ninewells Hospital, Dundee, Scotland
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DOI: 10.4103/UA.UA_32_18

PMID: 30787564

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Chromosomal instability and aberrations are known in many cancers including renal cell carcinoma. Detailed understanding of these changes has led to an improved drug discovery and continued developments in other therapeutic options. Chromosomal aberrations have a potential to be used to monitor disease including prognostication. There has been a growing experience in cytogenetic techniques and gap between clinic and laboratory has narrowed significantly in the recent past. Nevertheless, more work on validation of these techniques, establishing threshold and interobserver agreement needs to be carried out for these diagnostic/prognostic tests before utilizing them in clinics as a part of “personalized medicine” care. The review presented here is a summary of common genetic disorders in renal cancer and some of acquired genetic changes which can be used as biomarkers. The review also describes basics of commonly used genetic techniques for wider clinical community involved in the management of renal cancer.

Keywords: Chromosome, clear-cell carcinoma, genetics, head and neck cancer, head and neck squamous cell carcinoma, intensity modulated radiotherapy, radiotherapy kidney, renal cell cancer, three-dimensional conformal radiotherapy, toxicity, xerostomia

How to cite this article:
Quddus MB, Pratt N, Nabi G. Chromosomal aberrations in renal cell carcinoma: An overview with implications for clinical practice. Urol Ann 2019;11:6-14

How to cite this URL:
Quddus MB, Pratt N, Nabi G. Chromosomal aberrations in renal cell carcinoma: An overview with implications for clinical practice. Urol Ann [serial online] 2019 [cited 2019 Jul 15];11:6-14. Available from: http://www.urologyannals.com/text.asp?2019/11/1/6/250550

   Introduction Top

Kidney cancer is the twelfth most common cancer in the world (joint position with pancreatic cancer), with 338,000 new cases diagnosed in 2012 (Ferlay et al. 2012).[1] Renal cell cancer ist the eighth most common cancer in the UK and is the second most common urological malignancy. It accounts for 2% of all the cancer deaths in the UK. It represents 3% of all new cancer cases in adults in the Western world (Landis et al., 1999).[2] Rising trends in renal cancer rates across all age groups have been observed. The widespread use of imaging resulted in an increased detection of asymptomatic renal tumors; however, it also coincides with a rise in the incidence of advanced renal cancer. These findings suggest that the detection of asymptomatic tumors by imaging alone cannot fully explain the increase seen for renal cancer overall (Tate et al., 2003).[3] The classification of renal cell tumors has recently been revised and published in the 2016 World Health Organization (WHO) classification (Inamura et al. 2017).[4],[5]

Cancer cells are known to have a range of cytogenetic abnormalities and aberrations at chromosomal levels are being identified through genome-wide studies (Albertson et al. 2003).[6] With improved detection of these changes, possibility of better understanding of carcinogenesis and treatment strategies is emerging in many cancers. Alterations in chromosomes in cancers can be structural changes or a numerical alteration (copy number variations [CNVs]). Specific focus is drawn on CNV, which is a form of structural variation of the DNA sequence, including multiplication and deletions of a particular segment of DNA (>1 kb) (Stratton et al., 2009).[7]

These changes were notoriously difficult to study using conventional cytogenetic techniques, however, with combined genomic hybridization and fluorescent-labeled probes, possibility of detailed identification of both the changes has emerged (Albrecht et al. 2004).[8] Latest technology of next-generation sequencing (NGS) has allowed these alterations to be studied at the resolution of a single nucleotide. With the arrival of NGS technologies (Metzker et al. 2010),[9] sequence-based CNV detection has rapidly emerged as a viable option to identify CNVs with higher resolution and accuracy (Ku et al. 2010).[10]

   Genetic Basis of Cancer Top

The genetic basis of cancer is a very complex process and involves a sheer number of genetic aberrations that have not been fully understood or characterized. Cancer is the clonal expansion of genetically aberrant cells. Genetic instability innately affects cell birth or death (Lengauer et al., 1998).[11] In renal cancer, the hereditary forms allowed to identify the gatekeeper genes that predispose to sporadic forms. However, the mechanisms by which a tumor becomes more aggressive and underlying genetic changes have not been fully understood. In general, the main mechanism involves either proto-oncogene or tumor suppressor genes, which control normal cell growth or programmed cell death. This is never straightforward and very few cancers can be linked to one particular gene dysfunctions. Chromosomal aberrations can vary from vast number of chromosomes seen in some tumor karyotypes on large scale to undetectable changes. These small changes can involve only a couple of base pairs, occurring as deletions or insertions (Lengauer et al., 1998).[10] Aneuploidy is defined as chromosome number that is not an exact multiple of the usually haploid number. While polyploidy is defined as having a chromosome number that is a multiple greater than two of the haploid number. Segmental aneuploidy is the loss or gain of part of chromosome (Torres et al., 2008).[12] Translocation of chromosomes occurs frequently, and parts of one chromosome can be found joined to another (Lengauer et al., 1998).[11] These can be balanced or unbalanced, depending on the presence of all 23 pairs of homologous chromosomes even in different segments or loss of one part of a chromosome, respectively.

In this review, we discuss chromosomal aberrations, that is, structural and copy number alterations, in renal cell carcinoma with focus on abilities of these changes to be used for effective diagnostic and prognostic investigations.

   Classification and Subtypes Top

Renal cancer occurs both in hereditary and sporadic forms. Although renal cancer has many genetic predispositions, the hereditary form accounts only for 3%–4% of cases. The current major subtypes of renal cell tumors in the 2016 WHO classification are briefly summarized in [Table 1], with a focus on their molecular pathological epidemiology.[3],[4] Common genetic changes and hereditary syndromes are summarized in [Table 2].
Table 1: Current major subtypes of renal cell tumors in the 2016 World Health Organization classification

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Table 2: Common hereditary syndromes predisposing to renal cancer

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In addition to above syndromes, chromosome 3p translocation (Cohen et al.,),[13] tuberous sclerosis, and succinate dehydrogenase gene mutation (Ricketts et al., 2008)[14] predispose to rare forms of early-onset hereditary renal cancer. Five genes that have well-known associations with renal cancer were shown to be mutated in a substantial proportion of the clear-cell renal cell carcinoma (ccRCC) samples (Gwangwu et al. 2012),[15] including promoters VHL1 (altered in 27% of the 98 ccRCCs), TP53 (altered in 6%), and genes involved in chromatin modification, such as polybromo-1 (PBRM1) (altered in 21%), lysine-(K-) specific demethylase 5C (KDM5C 3) (altered in 9%), and SET domain-containing 2 (SETD2) (altered in 4%), along with two tumor suppressor genes, BRCA1-associated protein-1 (BAP1) (mutated in 8% of the 98 ccRCCs) and TSC1 (mutated in 3%).

In ccRCC, the VHL tumor suppressor gene is the most frequently mutated gene (Creighton et al. 2013)[16] and its complete loss through genetic (point mutations, insertions and deletions (indels), and 3p25 loss) and/or epigenetic (promoter methylation) mechanisms constitute the earliest, truncal oncogenic driving event (Hakimi et al., 2013).[17] VHL is the substrate recognition component of an E3 ligase complex that ubiquitylates HIF1α and HIF2α for proteasome-mediated degradation (Masson et al., 2014).[18] Large-scale cancer genomic projects have been undertaken and have revealed several novel prevalent mutations in ccRCC, including PBRM1 ( 29%–41% of tumor samples), SETD2 ( 8%–12%), BAP1 ( 6%–10%), KDM5C (4%–7%), and MTOR (5%–6%) (Xu et al., 2016).[19] Sporadic ccRCC has been characterized by loss of chromosome 3p in 90% of cases (Junker et al., 2003).[20] Papillary RCC is characterized by trisomy of chromosome 7 and 17 and loss of Y chromosome (Kovacs et al., 1997).[21] Chromophobe RCC (chRCC) exhibits multiple numerical deletions of chromosomes 1, 2, 6, 10, and 17 (Brunelli et al., 2010).[22] Collecting duct carcinoma shows a wide variety of aberrations involving chromosomes 1, X, Y with either translocations or deletions. Furthermore, chromosomes 13 and 22 are affected (Antonelli et al., 2003).[23]

Much research in recent years investigated the role of molecular markers in predicting prognosis and response to treatment in renal cancer. However, none of these markers has been translated into clinical practice or been proven to improve the predictive accuracy of existing prognostic models. Therefore, none of them is recommended for use in routine clinical practice (Tan et al., 2013).[24] This gap in research and clinical practice could be explained by reasons such as methodological differences introducing bias, poor study design including small samples, lack of standardization of the assay employed, and unsuitable statistical analysis (McShane et al., 2005).[25] In the 2016 WHO classification,[4],[5] seven new subtypes were adopted as shown in [Table 3].[5] The features of their molecular pathological epidemiology are briefly summarized in [Table 4].[4]
Table 3: Classification of renal cell tumors according to the 2016 World Health Organization classification

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Table 4: New subtypes of renal cell tumors in the 2016 World Health Organization classification

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Several nomograms to predict the prognosis in RCC relying on clinical and pathological parameters have been developed and externally validated. The integration of molecular or cytogenetic biomarker besides pathological and clinical parameters has been attempted to improve the prognostication of these nomograms (Karakiewics et al., 2007, Kim et al., 2005, Klatte et al., 2009).[26],[27],[28] The predictive accuracy of these nomograms ranged between 68% and 90%. The only cytogenetic marker added to a prognostic nomogram for all stages of ccRCC following nephrectomy, including TNM stage and Fuhrman grade, was the loss of chromosome 9p based on karyotyping, reaching predictive accuracy of 89% (Klatte et al., 2009a).[28]

   Common Methods Used to Detect Aberrations Top

  • Karyotyping [Figure 1] or classical cytogenetics using banding methods plays an important role in the characterization of different type of chromosomal abnormalities. Karyotyping examines chromosomes in cells to help identify aberrations as the cause of a disease. Although it detects big changes such as loss or gain of an entire or portions of a chromosome and translocations, many of the changes that cause disease are very small and require other methods to detect
  • Figure 1: Karyotyping

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  • Fluorescence in situ hybridization (FISH) [Figure 2] analysis began when conventional cytogenetics was with combined with recombinant DNA technology to form a new discipline called molecular cytogenetics. It is the most widely employed adjunct molecular genetic tool by 66% of the pathologists who responded to the questionnaire in the International Society of Urological Pathology consensus meeting in Vancouver 2012 (Tan et al., 2013).[24] Fish involves binding, or annealing, of fluorescence labeled, target-specific nucleic acid probes to their complementary DNA sequences, and the subsequent visualization of these probes within cells in the tissue examined. FISH technology has greatly benefited cancer cytogenetics. The technique is ideal as it is rapid and can be performed on any tissue (fresh, frozen, or formalin-fixed paraffin embedded), touch preps, or cell cultures
  • Figure 2: Fluorescence in situ hybridization

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  • Comparative genomic hybridization (CGH) [Figure 3] allows genome-wide screening for CNVs in solid tumors. Conventional CGH relied on two genomes, a test and a control, which are differentially labeled and competitively hybridized to metaphase chromosomes. In an attempt to improve the resolution of traditional CGH, scientists have developed a more advanced technique that combines CGH with microarrays technology. Array CGH relies on slides arrayed with small segments of DNA called probes as the targets of analysis instead of using metaphase chromosomes (Lucito et al., 2003).[29] The main advantage of array CGH (aCGH) is its ability to identify aneuploidies, deletions, gains including duplications or amplifications of any locus represented on an array simultaneously
  • Figure 3: Comparative genomic hybridization

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  • Microsatellites [Figure 4] are short tandem repeats of DNA sequences that are made of units of 1–4 nucleotides. The units can be repeated at variable rates at a given microsatellite leading to genetic polymorphism. Microsatellite analysis has been widely employed for mapping, to trace allelic inheritance, and to investigate the somatic loss of heterozygosity (LOH). Using paired control (blood or normal renal tissue) and tumor DNA, microsatellite analysis is a sensitive technique for detecting LOH in tumors. It is fast and inexpensive and can be performed on degraded DNA extracted from formalin-fixed paraffin-embedded tissue. Moreover, in comparison to aCGH and I-FISH, microsatellite typing can detect copy number neutral LOH
  • Figure 4: Microsatellite analysis showing loss of heterozygosity

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  • NGS: As mentioned previously, the high demand for low-cost sequencing has driven the development of high-throughput sequencing, which also goes by the term NGS. In imageguided biopsy of renal masses, performance of a custom NGS panel was evaluated for diagnostic and prognostic utility and it was found that targeted NGS can robustly detect genomic alterations requiring only limited DNA (Gowrishankar et al., 2016).[30]

   Cytogenetics in Sporadic Renal Cell Carcinoma-Discussion Top

Many cytogenetic studies have investigated aberrations of chromosomes in relation to pathological parameters and clinical outcomes. The focus was mainly the most common subtypes of RCC: clear cell and papillary. Loss of short arm of chromosome 3 is the most frequent chromosomal CNV in ccRCC, reported in more than 70% of sporadic cases. It distinguishes ccRCC from other subtypes and is associated with better survival in patients affected with it (Kroeger et al., 2013).[31] The gain of region 5q31 was associated with prolonged survival in high-grade ccRCC (Gunawan et al., 2001).[32] On the other hand, loss of chromosomes 4p, 14q, and 9p are associated with poor prognosis. However, 9p deletion was the only aberration that retained its prognostic significance in multivariate analysis (Klatte et al., 2009a).[28] In addition, deletion of Y chromosome is a common nonrandom CNV observed in ccRCC (Kovacs and Frisch, 1989).[33] The loss of Y chromosome was associated with distant metastasis in ccRCC and some other adverse histological features. Trisomy of chromosome 7 is a frequent aberration in ccRCC (Klatte et al., 2009a).[28] It has no known prognostic value in ccRCC. The gain of chromosome 8q which harbors the c-MYC oncogene was observed in 28 out of 336 tumors studied by karyotyping. This aberration was found to be associated with metastatic disease and risk of cancer-specific death, and on multivariate analysis was confirmed to be an independent prognostic factor (Klatte et al., 2012),[34] summarized in [Table 5].
Table 5: Chromosomal aberrations found in renal cell carcinoma subtypes

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The vast majority of papillary RCCs are sporadic with two recognized, histologically and cytogenetically different subtypes. The sporadic forms show frequently trisomy of chromosome 7 and loss of Y (Brown et al., 1997)[41] which are commonly occurring also in the clear-cell subtype. Trisomy of chromosome 17 is present in 80% of papillary RCC, predominantly in Type I (Corless et al., 1996).[42] Furthermore, loss of chromosome 9p has been reported and was associated with the more aggressive type II papillary RCC (Klatte et al., 2009, Sanders et al., 2002),[38],[43] summarized in [Table 5].

CGH was used to detect specific alterations in each of RCC subtypes, in which clear-cell RCC showed − 3p, +5/5q, −8p, −9, −14, −18; papillary (chromophilic) RCC gains of chromosomes 7, 17, 16, 3, 12; chRCC loss of chromosomes 1, 2, 6, 10, 13, 17, 21; renal oncocytomas (Ros) loss of chromosomes 1/1p and 14. Furthermore, for clear-cell RCC, it was possible to define alterations which are associated with metastatic disease: Loss of 9, 10, 14 (Junker et al. 2003).[20] Microphthalmia-associated transcription (MiT) family translocation RCC is an RCC subtype characterized by early onset. The MiT family of transcription factors–including MiTF, TFE3, TFEB, and TFEC–shares a basic helix-loop-helix DNA-binding domain and similar target genes (Kentaru et al. 2017).[44]

The discovery of the VHL gene in familial and sporadic ccRCC has revolutionized treatment for advanced RCC. Targeted therapy aiming at suppressing angiogenesis through vascular endothelial growth factor (VEGF) or platelet-derived growth factor-mediated pathways has replaced immunotherapy such as interferon alpha and interleukin-2 as treatment for metastatic RCC. The current Food and Drug Administration approved targeted therapy drugs for RCC which are the tyrosine kinase inhibitors (sunitinib, sorafenib, pazopanib, and axitinib), monoclonal antibody to VEGF (bevacizumab), and the MTOR inhibitors (temsirolimus and everolimus) (Yap et al. 2015, Fishman et al. 2013).[40],[45] Targeted therapy has improved treatment outcome as the overall and cancer-specific survival of metastatic RCC patients has improved in the targeted therapy era compared to the immunotherapy era (Yap et al. 2015, Soerenson et al. 2014, Nelson et al. 2013).[40],[46],[47]

NGS or exome sequencing studies have discovered several novel genes involved in chromatin modification which are mutated in ccRCC (Duns et al. 2012).[48] The newly identified genes are PBRM1, AT-rich interactive domain-containing protein 1A, BAP1, SETD2, and KDM5C.[40],[48] PBRM1 mutations are found in up to 41% of ccRCC, making it the second most mutated gene after VHL (Veral et al. 2011).[49] The roles of these chromatin modification genes and their proteins products are not fully understood yet, but various studies have shown that the mutational status of these genes may possess prognostic influence on ccRCC. Other genetic aberrations of interest, such as changes at chromosome regions 5q, 8p, 9p, and 14, may affect the prognosis of ccRCC. Copy number gains at 5q conferred a favorable prognosis whereas a loss had an adverse effect (Nagao et al. 2002).[50] LOH in 8p, 9p, and 14q has been associated with higher grade, stage, unfavorable prognosis, and tumor recurrence (Presti et al. 2002).[51] Potential candidate genes include CDK2NA (cyclin-dependent kinase inhibitor 2A) at 9p21 and HIF1A at 14q23.2 (Yap et al. 2015, Grady et al. 2001).[40],[52]

Papillary RCCs frequently display gains of chromosomes 7 and 17 (Balint et al. 2009).[53] Trisomies 7 and 17 discovered in small papillary renal cell neoplasia indicate that these genetic alterations may be involved in initial tumor development (Brunelli et al. 2003).[54] At present, only one gene on chromosome 7 has been positively identified and linked to papillary RCC (pRCC). Hereditary pRCC associated with Type 1 tumors is caused by the mutation of the MET proto-oncogene at 7q31. An activating missense mutation of the MET gene and duplication of chromosome 7 along with the mutated MET gene were postulated to increase the oncogenic effect of MET (Fischer et al. 1998).[55] MET mutation associated hereditary pRCC and sporadic pRCC are typically low grade, bilateral tumors with multiple lesions (Yap et al. 2015, Duns et al. 2012).[40],[48]

Hereditary chRCC is found in individuals with Birt–Hogg–Dubé syndrome (BHD). Renal tumors of different histologies such as ccRCC, pRCC, chRCC, and oncocytoma have been reported in BHD sufferers with chRCC and oncocytomas being the predominant types (Pavlovich et al. 2005).[56] Germline mutation of the BHD or folliculin gene was discovered and mapped to chromosome 17p11.2 in families with BHD syndrome (Schmidt et al. 2005).[57] Common genetic alterations found in sporadic chRCC are the LOH at chromosomes 1, 2, 6, 10, 13, 17, and 21 (Brunelli et al. 2010).[22] There is no difference in chromosomal loss pattern between eosinophilic and classic variants of chRCC Brunelli et al. 2005).[58] One frequently mutated candidate gene identified in sporadic chRCC is TP53 at 17p13.1 (Gad et al. 2007).[59] chRCC and RO pose a diagnostic challenge as both tumors have morphological overlaps. Correct diagnosis is important because RO is largely benign while chRCC is malignant. Losses of chromosomes 2, 6, 10, 13, 17, and 21, found in up to 93% of chRCCs, are not features of ROs and could be used to differentiate the two tumor types (Yap et al. 2015, Yusenko et al. 2009, and Tan et al. 2010).[40],[60],[61]

   Conclusion Top

Each RCC subtype has a distinctive pattern of genetic aberrations, although there are some overlaps in chromosomal and genetic changes. These genetic changes may play an important role in tumorigenesis and affect the progression or prognosis of the tumor. Hence, detection of genetic or chromosomal changes could be a useful diagnostic or prognostic tool as adjunct to conventional immunohistochemistry and histology. Identification of frequently mutated genes and affected signaling pathways also allows for the development of new therapeutic targets or personalized-targeted therapy for better management of advanced RCC.


Ismail Mokadem, Consultant Urologist Aberdeen.

Financial support and sponsorship


Conflicts of interest

There are no conflicts of interest.

   References Top

Ferlay J, Soerjomataram I, Ervik M, Dikshit R, Eser S, Mathers C, et al. GLOBOCAN 2012 v1.1, Cancer Incidence and Mortality Worldwide: IARC CancerBase No. 11. Lyon, France: International Agency for Research on Cancer; 2014.  Back to cited text no. 1
Landis SH, Murray T, Bolden S, Wingo PA. Cancer statistics, 1999. CA Cancer J Clin 1999;49:8-31, 1.  Back to cited text no. 2
Tate R, Iddenden R, Harnden P, Morris E, Craigs C, Bennett C, et al. Increased incidence of renal parenchymal carcinoma in the northern and Yorkshire region of England, 1978-1997. Eur J Cancer 2003;39:961-7.  Back to cited text no. 3
Inamura K. Renal cell tumors: Understanding their molecular pathological epidemiology and the 2016 WHO classification. Int J Mol Sci 2017;18. pii: E2195.  Back to cited text no. 4
Moch H, Humphrey PA, Ulbright TM, Reuter VE. WHO Classification of Tumours of the Urinary System and Male Genital Organs. 4th ed. Lyon, France: IARC Press; 2016.  Back to cited text no. 5
Albertson DG, Pinkel D. Genomic microarrays in human genetic disease and cancer. Hum Mol Genet 2003;12:R145-52.  Back to cited text no. 6
Stratton MR, Campbell PJ, Futreal PA. The cancer genome. Nature 2009;458:719-24.  Back to cited text no. 7
Albrecht B, Hausmann M, Zitzelsberger H, Stein H, Siewert JR, Hopt U, et al. Array-based comparative genomic hybridization for the detection of DNA sequence copy number changes in Barrett's adenocarcinoma. J Pathol 2004;203:780-8.  Back to cited text no. 8
Metzker ML. Sequencing technologies – The next generation. Nat Rev Genet 2010;11:31-46.  Back to cited text no. 9
Ku CS, Loy EY, Salim A, Pawitan Y, Chia KS. The discovery of human genetic variations and their use as disease markers: Past, present and future. J Hum Genet 2010;55:403-15.  Back to cited text no. 10
Lengauer C, Kinzler KW, Vogelstein B. Genetic instabilities in human cancers. Nature 1998;396:643-9.  Back to cited text no. 11
Torres EM, Williams BR, Amon A. Aneuploidy: Cells losing their balance. Genetics 2008;179:737-46.  Back to cited text no. 12
Cohen AJ, Li FP, Berg S, Marchetto DJ, Tsai S, Jacobs SC, et al. Hereditary renal-cell carcinoma associated with a chromosomal translocation. N Engl J Med 1979;301:592-5.  Back to cited text no. 13
Ricketts C, Woodward ER, Killick P, Morris MR, Astuti D, Latif F, et al. Germline SDHB mutations and familial renal cell carcinoma. J Natl Cancer Inst 2008;100:1260-2.  Back to cited text no. 14
Guo G, Gui Y, Gao S, Tang A, Hu X, Huang Y, et al. Frequent mutations of genes encoding ubiquitin-mediated proteolysis pathway components in clear cell renal cell carcinoma. Nat Genet 2011;44:17-9.  Back to cited text no. 15
Creighton CJ, Morgan M, Gunaratne PH, Wheeler DA, Gibbs RA, Robertson A, et al. Comprehensive molecular characterization of clear cell renal cell carcinoma. Nature 2013;499:43-9.  Back to cited text no. 16
Hakimi AA, Pham CG, Hsieh JJ. A clear picture of renal cell carcinoma. Nat Genet 2013;45:849-50.  Back to cited text no. 17
Masson N, Ratcliffe PJ. Hypoxia signaling pathways in cancer metabolism: The importance of co-selecting interconnected physiological pathways. Cancer Metab 2014;2:3.  Back to cited text no. 18
Xu J, Pham CG, Albanese SK, Dong Y, Oyama T, Lee CH, et al. Mechanistically distinct cancer-associated mTOR activation clusters predict sensitivity to rapamycin. J Clin Invest 2016;126:3526-40.  Back to cited text no. 19
Junker K, Weirich G, Amin MB, Moravek P, Hindermann W, Schubert J, et al. Genetic subtyping of renal cell carcinoma by comparative genomic hybridization. Recent Results Cancer Res 2003;162:169-75.  Back to cited text no. 20
Kovacs G, Akhtar M, Beckwith BJ, Bugert P, Cooper CS, Delahunt B, et al. The Heidelberg classification of renal cell tumours. J Pathol 1997;183:131-3.  Back to cited text no. 21
Brunelli M, Delahunt B, Gobbo S, Tardanico R, Eccher A, Bersani S, et al. Diagnostic usefulness of fluorescent cytogenetics in differentiating chromophobe renal cell carcinoma from renal oncocytoma: A validation study combining metaphase and interphase analyses. Am J Clin Pathol 2010;133:116-26.  Back to cited text no. 22
Antonelli A, Portesi E, Cozzoli A, Zanotelli T, Tardanico R, Balzarini P, et al. The collecting duct carcinoma of the kidney: A cytogenetical study. Eur Urol 2003;43:680-5.  Back to cited text no. 23
Tan PH, Cheng L, Rioux-Leclercq N, Merino MJ, Netto G, Reuter VE, et al. Renal tumors: Diagnostic and prognostic biomarkers. Am J Surg Pathol 2013;37:1518-31.  Back to cited text no. 24
McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM, et al. Reporting recommendations for tumor marker prognostic studies. J Clin Oncol 2005;23:9067-72.  Back to cited text no. 25
Karakiewicz PI, Hutterer GC, Trinh QD, Jeldres C, Perrotte P, Gallina A, et al. C-reactive protein is an informative predictor of renal cell carcinoma-specific mortality: A European study of 313 patients. Cancer 2007;110:1241-7.  Back to cited text no. 26
Kim HL, Seligson D, Liu X, Janzen N, Bui MH, Yu H, et al. Using tumor markers to predict the survival of patients with metastatic renal cell carcinoma. J Urol 2005;173:1496-501.  Back to cited text no. 27
Klatte T, Rao PN, de Martino M, LaRochelle J, Shuch B, Zomorodian N, et al. Cytogenetic profile predicts prognosis of patients with clear cell renal cell carcinoma. J Clin Oncol 2009;27:746-53.  Back to cited text no. 28
Lucito R, Healy J, Alexander J, Reiner A, Esposito D, Chi M, et al. Representational oligonucleotide microarray analysis: A high-resolution method to detect genome copy number variation. Genome Res 2003;13:2291-305.  Back to cited text no. 29
Gowrishankar B, Janakiraman M, Padmanabhan R, Thodima VJ, Spaliviero M, Stratton KL, et al. Clinical utility of a custom next-generation sequencing panel in the diagnosis of needle biopsies from renal masses. J Clin Oncol 2016;34 Suppl 2:522-525.  Back to cited text no. 30
Kroeger N, Klatte T, Chamie K, Rao PN, Birkhäuser FD, Sonn GA, et al. Deletions of chromosomes 3p and 14q molecularly subclassify clear cell renal cell carcinoma. Cancer 2013;119:1547-54.  Back to cited text no. 31
Gunawan B, Huber W, Holtrup M, von Heydebreck A, Efferth T, Poustka A, et al. Prognostic impacts of cytogenetic findings in clear cell renal cell carcinoma: Gain of 5q31-qter predicts a distinct clinical phenotype with favorable prognosis. Cancer Res 2001;61:7731-8.  Back to cited text no. 32
Kovacs G, Frisch S. Clonal chromosome abnormalities in tumor cells from patients with sporadic renal cell carcinomas. Cancer Res 1989;49:651-9.  Back to cited text no. 33
Klatte T, Kroeger N, Rampersaud EN, Birkhäuser FD, Logan JE, Sonn G, et al. Gain of chromosome 8q is associated with metastases and poor survival of patients with clear cell renal cell carcinoma. Cancer 2012;118:5777-82.  Back to cited text no. 34
Hakimi AA, Ostrovnaya I, Reva B, Schultz N, Chen YB, Gonen M, et al. Adverse outcomes in clear cell renal cell carcinoma with mutations of 3p21 epigenetic regulators BAP1 and SETD2: A report by MSKCC and the KIRC TCGA research network. Clin Cancer Res 2013;19:3259-67.  Back to cited text no. 35
Lichner Z, Scorilas A, White NM, Girgis AH, Rotstein L, Wiegand KC, et al. The chromatin remodeling gene ARID1A is a new prognostic marker in clear cell renal cell carcinoma. Am J Pathol 2013;182:1163-70.  Back to cited text no. 36
de Oliveira D, Dall'Oglio MF, Reis ST, Zerati M, Souza IC, Leite KR, et al. Chromosome 9p deletions are an independent predictor of tumor progression following nephrectomy in patients with localized clear cell renal cell carcinoma. Urol Oncol 2014;32:601-6.  Back to cited text no. 37
Klatte T, Pantuck AJ, Said JW, Seligson DB, Rao NP, LaRochelle JC, et al. Cytogenetic and molecular tumor profiling for type 1 and type 2 papillary renal cell carcinoma. Clin Cancer Res 2009;15:1162-9.  Back to cited text no. 38
Jiang F, Richter J, Schraml P, Bubendorf L, Gasser T, Sauter G, et al. Chromosomal imbalances in papillary renal cell carcinoma: Genetic differences between histological subtypes. Am J Pathol 1998;153:1467-73.  Back to cited text no. 39
Yap NY, Rajandram R, Ng KL, Pailoor J, Fadzli A, Gobe GC, et al. Genetic and chromosomal aberrations and their clinical significance in renal neoplasms. Biomed Res Int 2015;2015:476508.  Back to cited text no. 40
Brown JA, Anderl KL, Borell TJ, Qian J, Bostwick DG, Jenkins RB, et al. Simultaneous chromosome 7 and 17 gain and sex chromosome loss provide evidence that renal metanephric adenoma is related to papillary renal cell carcinoma. J Urol 1997;158:370-4.  Back to cited text no. 41
Corless CL, Aburatani H, Fletcher JA, Housman DE, Amin MB, Weinberg DS, et al. Papillary renal cell carcinoma: Quantitation of chromosomes 7 and 17 by FISH, analysis of chromosome 3p for LOH, and DNA ploidy. Diagn Mol Pathol 1996;5:53-64.  Back to cited text no. 42
Sanders ME, Mick R, Tomaszewski JE, Barr FG. Unique patterns of allelic imbalance distinguish type 1 from type 2 sporadic papillary renal cell carcinoma. Am J Pathol 2002;161:997-1005.  Back to cited text no. 43
Inamura K. Translocation renal cell carcinoma: An update on clinicopathological and molecular features. Cancers (Basel) 2017;9. pii: E111.  Back to cited text no. 44
Fishman MN. Targeted therapy of kidney cancer: Keeping the art around the algorithms. Cancer Control 2013;20:222-32.  Back to cited text no. 45
Soerensen AV, Donskov F, Hermann GG, Jensen NV, Petersen A, Spliid H, et al. Improved overall survival after implementation of targeted therapy for patients with metastatic renal cell carcinoma: Results from the Danish renal cancer group (DARENCA) study-2. Eur J Cancer 2014;50:553-62.  Back to cited text no. 46
Nelson RA, Vogelzang N, Pal SK. A gap in disease-specific survival between younger and older adults with de novo metastatic renal cell carcinoma: Results of a SEER database analysis. Clin Genitourin Cancer 2013;11:303-10.  Back to cited text no. 47
Duns G, Hofstra RM, Sietzema JG, Hollema H, van Duivenbode I, Kuik A, et al. Targeted exome sequencing in clear cell renal cell carcinoma tumors suggests aberrant chromatin regulation as a crucial step in ccRCC development. Hum Mutat 2012;33:1059-62.  Back to cited text no. 48
Varela I, Tarpey P, Raine K, Huang D, Ong CK, Stephens P, et al. Exome sequencing identifies frequent mutation of the SWI/SNF complex gene PBRM1 in renal carcinoma. Nature 2011;469:539-42.  Back to cited text no. 49
Nagao K, Yoshihiro S, Matsuyama H, Yamaguchi S, Oba K, Naito K, et al. Clinical significance of allelic loss of chromosome region 5q22.3 approximately q23.2 in nonpapillary renal cell carcinoma. Cancer Genet Cytogenet 2002;136:23-30.  Back to cited text no. 50
Presti JC Jr., Wilhelm M, Reuter V, Russo P, Motzer R, Waldman F, et al. Allelic loss on chromosomes 8 and 9 correlates with clinical outcome in locally advanced clear cell carcinoma of the kidney. J Urol 2002;167:1464-8.  Back to cited text no. 51
Grady B, Goharderakhshan R, Chang J, Ribeiro-Filho LA, Perinchery G, Franks J, et al. Frequently deleted loci on chromosome 9 may harbor several tumor suppressor genes in human renal cell carcinoma. J Urol 2001;166:1088-92.  Back to cited text no. 52
Balint I, Szponar A, Jauch A, Kovacs G. Trisomy 7 and 17 mark papillary renal cell tumours irrespectively of variation of the phenotype. J Clin Pathol 2009;62:892-5.  Back to cited text no. 53
Brunelli M, Eble JN, Zhang S, Martignoni G, Cheng L. Gains of chromosomes 7, 17, 12, 16, and 20 and loss of Y occur early in the evolution of papillary renal cell neoplasia: A fluorescent in situ hybridization study. Mod Pathol 2003;16:1053-9.  Back to cited text no. 54
Fischer J, Palmedo G, von Knobloch R, Bugert P, Prayer-Galetti T, Pagano F, et al. Duplication and overexpression of the mutant allele of the MET proto-oncogene in multiple hereditary papillary renal cell tumours. Oncogene 1998;17:733-9.  Back to cited text no. 55
Pavlovich CP, Grubb RL 3rd, Hurley K, Glenn GM, Toro J, Schmidt LS, et al. Evaluation and management of renal tumors in the Birt-Hogg-Dubé syndrome. J Urol 2005;173:1482-6.  Back to cited text no. 56
Schmidt LS, Nickerson ML, Warren MB, Glenn GM, Toro JR, Merino MJ, et al. Germline BHD-mutation spectrum and phenotype analysis of a large cohort of families with Birt-Hogg-Dubé syndrome. Am J Hum Genet 2005;76:1023-33.  Back to cited text no. 57
Brunelli M, Eble JN, Zhang S, Martignoni G, Delahunt B, Cheng L, et al. Eosinophilic and classic chromophobe renal cell carcinomas have similar frequent losses of multiple chromosomes from among chromosomes 1, 2, 6, 10, and 17, and this pattern of genetic abnormality is not present in renal oncocytoma. Mod Pathol 2005;18:161-9.  Back to cited text no. 58
Gad S, Lefèvre SH, Khoo SK, Giraud S, Vieillefond A, Vasiliu V, et al. Mutations in BHD and TP53 genes, but not in HNF1beta gene, in a large series of sporadic chromophobe renal cell carcinoma. Br J Cancer 2007;96:336-40.  Back to cited text no. 59
Yusenko MV, Kuiper RP, Boethe T, Ljungberg B, van Kessel AG, Kovacs G, et al. High-resolution DNA copy number and gene expression analyses distinguish chromophobe renal cell carcinomas and renal oncocytomas. BMC Cancer 2009;9:152.  Back to cited text no. 60
Tan MH, Wong CF, Tan HL, Yang XJ, Ditlev J, Matsuda D, et al. Genomic expression and single-nucleotide polymorphism profiling discriminates chromophobe renal cell carcinoma and oncocytoma. BMC Cancer 2010;10:196.  Back to cited text no. 61


  [Figure 1], [Figure 2], [Figure 3], [Figure 4]

  [Table 1], [Table 2], [Table 3], [Table 4], [Table 5]


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