Dataset Information

Genomic profiling of renal cell carcinoma in patients with end-stage renal disease.

ABSTRACT: The purpose of the present study was to determine the genomic profile of renal cell carcinoma (RCC) in end-stage renal disease (ESRD) by analyzing genomic copy number aberrations. Seventy-nine tumor samples from 63 patients with RCC-ESRD were analyzed by array comparative genomic hybridization using the Agilent Whole Human Genome 4 × 44K Oligo Micro Array (Agilent Technologies Inc., Palo Alto, CA, USA). Unsupervised hierarchical clustering analysis revealed that the 63 cases could be divided into two groups, Clusters A and B. Cluster A was comprised mainly of clear cell RCC (CCRCC), whereas Cluster B was comprised mainly of papillary RCC (PRCC), acquired cystic disease (ACD)-associated RCC, and clear cell papillary RCC. Analysis of the averaged frequencies revealed that the genomic profiles of Clusters A and B resembled those of sporadic CCRCC and sporadic PRCC, respectively. Although it has been proposed on the basis of histopathology that ACD-associated RCC, clear cell papillary RCC and PRCC-ESRD are distinct subtypes, the present data reveal that the genomic profiles of these types, categorized as Cluster B, resemble one another. Furthermore, the genomic profiles of PRCC, ACD-associated RCC and clear cell papillary RCC admixed in one tissue tended to resemble one another. On the basis of genomic profiling of RCC-ESRD, we conclude that the molecular pathogenesis of CCRCC-ESRD resembles that of sporadic CCRCC. Although various histologic subtypes of non-clear cell RCC-ESRD have been proposed, their genomic profiles resemble those of sporadic PRCC, suggesting that the molecular pathogenesis of non-CCRCC-ESRD may be related to that of sporadic PRCC.

SUBMITTER: Inoue T

PROVIDER: S-EPMC7713630 | biostudies-literature | 2012 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Genomic profiling of renal cell carcinoma in patients with end-stage renal disease.

Inoue Toru T Matsuura Keiko K Yoshimoto Taichiro T Nguyen Lam Tung LT Tsukamoto Yoshiyuki Y Nakada Chisato C Hijiya Naoki N Narimatsu Takahiro T Nomura Takeo T Sato Fuminori F Nagashima Yoji Y Kashima Kenji K Hatakeyama Shingo S Ohyama Chikara C Numakura Kazuyuki K Habuchi Tomonori T Nakagawa Masayuki M Seto Masao M Mimata Hiromitsu H Moriyama Masatsugu M

Cancer science 20120120 3

The purpose of the present study was to determine the genomic profile of renal cell carcinoma (RCC) in end-stage renal disease (ESRD) by analyzing genomic copy number aberrations. Seventy-nine tumor samples from 63 patients with RCC-ESRD were analyzed by array comparative genomic hybridization using the Agilent Whole Human Genome 4 × 44K Oligo Micro Array (Agilent Technologies Inc., Palo Alto, CA, USA). Unsupervised hierarchical clustering analysis revealed that the 63 cases could be divided int ...[more]

PMID: 22145865

Similar Datasets

Project description:Cardiovascular disease is the major cause of morbidity and death in patients with chronic kidney disease (CKD) and end-stage renal disease (ESRD). Patients with CKD and ESRD are at high risk for myocardial dysfunction, ischemia and heart failure. The mechanisms linking impaired renal function and increased risk for cardiovascular diseases, however, remain elusive. In addition, conventional therapeutics proven effective in reducing cardiovascular events in general population fail to provide similar benefits in uremic patients. There is a clear need to identify novel mediators of cardiovascular complications in uremic patients to provide insights into the pathogenesis, to tailor clinical care based on cardiovascular risks, and to develop new therapeutic strategies. It has become increasingly clear that the transcription of the eukaryotic genome is far more pervasive and complex than previously appreciated. While the expression of messenger RNAs (mRNAs) and microRNAs (miRNAs) account for only ~1% of all transcribed species, up to 90% of the mammalian genome is transcribed as long non-coding RNAs (lncRNAs), a heterogeneous group of non-coding transcripts longer than 200 nucleotides. LncRNAs have been shown to be functional and involved in specific physiological and pathological processes through epigenetic, transcriptional and post-transcriptional mechanisms. While the roles of lncRNAs in human diseases including cancer and neurodegenerative disorders are beginning to emerge, it remains unclear how lncRNA regulation contributes to cardiovascular complications in patients with renal dysfunction. In this proposal, we seek to apply next-generation sequencing technology to investigate circulating (plasma) lncRNA expression in control subjects and in patients with CKD and ESRD. We will test the hypothesis that circulating lncRNA expression signature can reflect the underlying kidney disease states in patients with CKD and ESRD. In addition, we will determine if circulating lncRNA expression signature could be a sensitive and specific biomarker to predict adverse cardiovascular events in patients with ESRD.

Dataset Information

Genomic profiling of renal cell carcinoma in patients with end-stage renal disease.

Publications

Genomic profiling of renal cell carcinoma in patients with end-stage renal disease.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets