Genomic features of renal cell carcinoma developed during end-stage renal disease and dialysis

Author:

Johnson Todd A1ORCID,Maekawa Shigekatsu2,Fujita Masashi1,An Jisong3,Ju Young-Seok4,Maejima Kazuhiro1,Kanazashi Yuki1,Jikuya Ryosuke15,Okawa Yuki1ORCID,Sasagawa Shota1,Yagi Ken6,Okazaki Yasushi6,Kuroda Naoto7,Takata Ryo2,Obara Wataru2,Nakagawa Hidewaki1

Affiliation:

1. RIKEN Center for Integrative Medical Sciences Laboratory for Cancer Genomics, , Yokohama 230-0045 , Japan

2. Iwate Medical University Department of Urology, School of Medicine, , Morioka, Iwate, 028-3694 , Japan

3. Graduate School of Medical Science and Engineering (GSMSE), Korea Advanced Institute of Science and Technology (KAIST) , Daejeon 34141 , Republic of Korea

4. Graduate School of Medical Science and Engineering (GSMSE), Korea Advanced Institute of Science and Technology (KAIST) , Daejeon 34141, Republic of Korea

5. Yokohama City University Graduate School of Medicine Department of Urology, , Yokohama 236-0004 , Japan

6. RIKEN Center for Integrative Medical Sciences Laboratory for Comprehensive Genomic Analysis, , Yokohama 230-0045 , Japan

7. Kochi Red Cross Hospital Department of Diagnostic Pathology, , Kochi 780-8562 , Japan

Abstract

Abstract Patients with end-stage renal disease (ESRD) or receiving dialysis have a much higher risk for renal cell carcinoma (RCC), but carcinogenic mechanisms and genomic features remain little explored and undefined. This study’s goal was to identify the genomic features of ESRD RCC and characterize them for associations with tumor histology and dialysis exposure. In this study, we obtained 33 RCCs, with various histological subtypes, that developed in ESRD patients receiving dialysis and performed whole-genome sequencing and transcriptome analyses. Driver events, copy-number alteration (CNA) analysis and mutational signature profiling were performed using an analysis pipeline that integrated data from germline and somatic SNVs, Indels and structural variants as well as CNAs, while transcriptome data were analyzed for differentially expressed genes and through gene set enrichment analysis. ESRD related clear cell RCCs’ driver genes and mutations mirrored those in sporadic ccRCCs. Longer dialysis periods significantly correlated with a rare mutational signature SBS23, whose etiology is unknown, and increased mitochondrial copy number. All acquired cystic disease (ACD)-RCCs, which developed specifically in ESRD patients, showed chromosome 16q amplification. Gene expression analysis suggests similarity between certain ACD-RCCs and papillary RCCs and in TCGA papillary RCCs with chromosome 16 gain identified enrichment for genes related to DNA repair, as well as pathways related to reactive oxygen species, oxidative phosphorylation and targets of Myc. This analysis suggests that ESRD or dialysis could induce types of cellular stress that impact some specific types of genomic damage leading to oncogenesis.

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology,General Medicine

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