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      Molecular profiles and urinary biomarkers of upper tract urothelial carcinomas associated with aristolochic acid exposure

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          Abstract

          Recurrent upper tract urothelial carcinomas (UTUCs) arise in the context of nephropathy linked to exposure to the herbal carcinogen aristolochic acid (AA). Here we delineated the molecular programs underlying UTUC tumorigenesis in patients from endemic aristolochic acid nephropathy (AAN) regions in Southern Europe. We applied an integrative multiomics analysis of UTUCs, corresponding unaffected tissues and of patient urines. Quantitative microRNA (miRNA) and messenger ribonucleic acid (mRNA) expression profiling, immunohistochemical analysis by tissue microarrays and exome and transcriptome sequencing were performed in UTUC and nontumor tissues. Urinary miRNAs of cases undergoing surgery were profiled before and after tumor resection. Ribonucleic acid (RNA) and protein levels were analyzed using appropriate statistical tests and trend assessment. Dedicated bioinformatic tools were used for analysis of pathways, mutational signatures and result visualization. The results delineate UTUC‐specific miRNA:mRNA networks comprising 89 miRNAs associated with 1,862 target mRNAs, involving deregulation of cell cycle, deoxyribonucleic acid (DNA) damage response, DNA repair, bladder cancer, oncogenes, tumor suppressors, chromatin structure regulators and developmental signaling pathways. Key UTUC‐specific transcripts were confirmed at the protein level. Exome and transcriptome sequencing of UTUCs revealed AA‐specific mutational signature SBS22, with 68% to 76% AA‐specific, deleterious mutations propagated at the transcript level, a possible basis for neoantigen formation and immunotherapy targeting. We next identified a signature of UTUC‐specific miRNAs consistently more abundant in the patients' urine prior to tumor resection, thereby defining biomarkers of tumor presence. The complex gene regulation programs of AAN‐associated UTUC tumors involve regulatory miRNAs prospectively applicable to noninvasive urine‐based screening of AAN patients for cancer presence and recurrence.

          Abstract

          What's new?

          Ingestion of aristolochic acid (AA) via contaminated wheat‐containing food products is a major cause of endemic neuropathy and urologic carcinogenesis in southeastern Europe. Here, using integrated multi‐omics analysis, the authors identified molecular programs underlying upper tract urothelial tumors (UTUC) in patients in Southern Europe with past carcinogenic AA exposure. Analyses reveal associations between 89 miRNAs and 1,862 target mRNAs, with confirmation of UTUC‐specific transcripts at protein level. AA‐specific mutations in UTUC and deleterious mutations were uncovered at both gene and transcript levels. The findings suggest that tumors in the urinary tract can be monitored by urine miRNA signature.

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          Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

          Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.
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            Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

            DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
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              Circos: an information aesthetic for comparative genomics.

              We created a visualization tool called Circos to facilitate the identification and analysis of similarities and differences arising from comparisons of genomes. Our tool is effective in displaying variation in genome structure and, generally, any other kind of positional relationships between genomic intervals. Such data are routinely produced by sequence alignments, hybridization arrays, genome mapping, and genotyping studies. Circos uses a circular ideogram layout to facilitate the display of relationships between pairs of positions by the use of ribbons, which encode the position, size, and orientation of related genomic elements. Circos is capable of displaying data as scatter, line, and histogram plots, heat maps, tiles, connectors, and text. Bitmap or vector images can be created from GFF-style data inputs and hierarchical configuration files, which can be easily generated by automated tools, making Circos suitable for rapid deployment in data analysis and reporting pipelines.
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                Author and article information

                Contributors
                skaranov@kbc-zagreb.hr
                arthur.grollman@stonybrook.edu
                bjelakov@kbc-zagreb.hr
                zavadilj@iarc.fr
                Journal
                Int J Cancer
                Int J Cancer
                10.1002/(ISSN)1097-0215
                IJC
                International Journal of Cancer
                John Wiley & Sons, Inc. (Hoboken, USA )
                0020-7136
                1097-0215
                15 October 2021
                15 January 2022
                : 150
                : 2 ( doiID: 10.1002/ijc.v150.2 )
                : 374-386
                Affiliations
                [ 1 ] Department of Nephrology, Arterial Hypertension, Dialysis and Transplantation, University Hospital Center Zagreb School of Medicine, University of Zagreb Zagreb Croatia
                [ 2 ] Epigenomics and Mechanisms Branch International Agency for Research on Cancer, WHO Lyon France
                [ 3 ] Institute for Systems Genetics New York University Langone Medical Center New York New York USA
                [ 4 ] Department of Pathology General Hospital Dr. Josip Benčević Slavonski Brod Croatia
                [ 5 ] Office for Collaborative Science New York University Langone Medical Center New York New York USA
                [ 6 ] Biochemistry and Molecular Genetics Northwestern University Feinberg School of Medicine Chicago Illinois USA
                [ 7 ] Department for Dialysis Odžak County Hospital Orašje Odžak Bosnia and Herzegovina
                [ 8 ] Division of Molecular Medicine Institute Ruđer Bošković Zagreb Croatia
                [ 9 ] Department of Urology General Hospital Dr. Josip Benčević Slavonski Brod Croatia
                [ 10 ] Department for Functional Genomics, Center for Translational and Clinical Research University Hospital Center Zagreb, School of Medicine, University of Zagreb Zagreb Croatia
                [ 11 ] Department of Medicine Stony Brook University Stony Brook New York USA
                [ 12 ] Department of Medicine/Nephrology Stony Brook University Stony Brook New York USA
                [ 13 ]Present address: Boehringer Ingelheim Pharmaceuticals, Inc. Ridgefield CT USA
                [ 14 ]Present address: Department of Pathology Ålesund Hospital, Møre and Romsdal Health Trust Ålesund Norway
                [ 15 ]Present address: Natera, Inc. San Carlos CA USA
                Author notes
                [*] [* ] Correspondence

                Jiri Zavadil, Epigenomics and Mechanisms Branch, International Agency for Research on Cancer, WHO, Lyon, France.

                Email: zavadilj@ 123456iarc.fr

                Sandra Karanović and Bojan Jelaković, Department of Nephrology, Arterial Hypertension, Dialysis and Transplantation, University Hospital Center Zagreb, School of Medicine, University of Zagreb, Zagreb, Croatia.

                Email: skaranov@ 123456kbc-zagreb.hr (S. K.) and bjelakov@ 123456kbc-zagreb.hr (B. J.)

                Arthur P. Grollman, Department of Medicine, Stony Brook University, Stony Brook, NY, USA.

                Email: arthur.grollman@ 123456stonybrook.edu

                Author information
                https://orcid.org/0000-0003-0640-5562
                Article
                IJC33827
                10.1002/ijc.33827
                8627473
                34569060
                626c25a6-e952-42d3-8314-a670fb3f79af
                © 2021 IARC. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 25 July 2021
                : 01 April 2021
                : 31 August 2021
                Page count
                Figures: 4, Tables: 0, Pages: 13, Words: 8994
                Funding
                Funded by: Croatian Science Foundation , doi 10.13039/501100004488;
                Award ID: 04/38
                Funded by: Ministry of Science and Technology, Croatia , doi 10.13039/501100006589;
                Award ID: 108‐0000000‐0329
                Funded by: National Institute of Environmental Health Sciences , doi 10.13039/100000066;
                Award ID: P01 ES004068
                Funded by: Fogarty International Center , doi 10.13039/100000061;
                Award ID: R03 TW007042
                Funded by: National Cancer Institute , doi 10.13039/100000054;
                Award ID: P30 CA016087
                Funded by: Laufer Family Foundation
                Categories
                Tumor Markers and Signatures
                Tumor Markers and Signatures
                Custom metadata
                2.0
                15 January 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.0 mode:remove_FC converted:07.10.2022

                Oncology & Radiotherapy
                aristolochic acid,massively parallel sequencing,transcriptome profiling,upper tract urothelial carcinoma,urine mirna

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