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      Genomic and Metabolic Hallmarks of SDH- and FH-deficient Renal Cell Carcinomas

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          Abstract

          Background:

          Succinate dehydrogenase-deficient and fumarate hydratase-deficient renal cell carcinomas (SDHRCC and FHRCC) are rare kidney cancers driven by loss of TCA cycle enzymes.

          Objective:

          To define and compare the genomic and metabolomic hallmarks of SDHRCC and FHRCC.

          Design, setting, and participants:

          We analyzed SDHRCC and FHRCC tumors with either immunohistochemical evidence of loss of protein expression or genomically confirmed biallelic inactivation of SDHA/B/C/D/AF2 or FH.

          Outcome measurements and statistical analysis:

          Somatic alterations were identified using clinical pipelines, with allele-specific copy number alterations (CNAs) identified using FACETS. Mass spectrometry–based metabolomic profiling was performed on available SDHRCC and FHRCC tumors.

          Results and limitations:

          Tumors were analyzed for 42 patients (25 FHRCC, 17 SDHRCC). In the germline analysis, 16/17 SDHRCCs harbored a germline alteration in SDHB, whereas only 17/22 FHRCCs had pathogenic germline FH variants. SDHRCCs had a lower mutation burden ( p = 0.02) and CNA burden (p = 0.0002) than FHRCCs. All SDHRCCs presented with deletion of chromosome 1p (overlapping SDHB), whereas FHRCCs demonstrated high but not ubiquitous loss of 1q ( FH locus). Both SDHRCCs and FHRCCs exhibited significant idiopathic accumulation of the metabolite guanine. FHRCC tumors had elevated levels of urea cycle metabolites (argininosuccinate, citrulline, and fumarate), whereas SDHRCC tumors had elevation of numerous acylcarnitines. These characteristic metabolic changes allowed identification of a previously unrecognized SDH-deficient RCC.

          Conclusions:

          Despite sharing similar genetic etiology, SDHRCC and FHRCC represent distinct molecular entities with unique genetic and metabolic abnormalities.

          Patient summary:

          Kidney cancers driven by loss of the gene encoding either the succinate dehydrogenase or fumarate hydratase enzyme are rare. We sought to define and compare the genetic and metabolic features of these cancer entities.

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          Most cited references41

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          The 2016 WHO Classification of Tumours of the Urinary System and Male Genital Organs-Part A: Renal, Penile, and Testicular Tumours.

          The fourth edition of the World Health Organization (WHO) classification of urogenital tumours (WHO "blue book"), published in 2016, contains significant revisions. These revisions were performed after consideration by a large international group of pathologists with special expertise in this area. A subgroup of these persons met at the WHO Consensus Conference in Zurich, Switzerland, in 2015 to finalize the revisions. This review summarizes the most significant differences between the newly published classification and the prior version for renal, penile, and testicular tumours. Newly recognized epithelial renal tumours are hereditary leiomyomatosis and renal cell carcinoma (RCC) syndrome-associated RCC, succinate dehydrogenase-deficient RCC, tubulocystic RCC, acquired cystic disease-associated RCC, and clear cell papillary RCC. The WHO/International Society of Urological Pathology renal tumour grading system was recommended, and the definition of renal papillary adenoma was modified. The new WHO classification of penile squamous cell carcinomas is based on the presence of human papillomavirus and defines histologic subtypes accordingly. Germ cell neoplasia in situ (GCNIS) of the testis is the WHO-recommended term for precursor lesions of invasive germ cell tumours, and testicular germ cell tumours are now separated into two fundamentally different groups: those derived from GCNIS and those unrelated to GCNIS. Spermatocytic seminoma has been designated as a spermatocytic tumour and placed within the group of non-GCNIS-related tumours in the 2016 WHO classification.
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            OncoKB: A Precision Oncology Knowledge Base

            Purpose With prospective clinical sequencing of tumors emerging as a mainstay in cancer care, an urgent need exists for a clinical support tool that distills the clinical implications associated with specific mutation events into a standardized and easily interpretable format. To this end, we developed OncoKB, an expert-guided precision oncology knowledge base. Methods OncoKB annotates the biologic and oncogenic effects and prognostic and predictive significance of somatic molecular alterations. Potential treatment implications are stratified by the level of evidence that a specific molecular alteration is predictive of drug response on the basis of US Food and Drug Administration labeling, National Comprehensive Cancer Network guidelines, disease-focused expert group recommendations, and scientific literature. Results To date, > 3,000 unique mutations, fusions, and copy number alterations in 418 cancer-associated genes have been annotated. To test the utility of OncoKB, we annotated all genomic events in 5,983 primary tumor samples in 19 cancer types. Forty-one percent of samples harbored at least one potentially actionable alteration, of which 7.5% were predictive of clinical benefit from a standard treatment. OncoKB annotations are available through a public Web resource ( http://oncokb.org ) and are incorporated into the cBioPortal for Cancer Genomics to facilitate the interpretation of genomic alterations by physicians and researchers. Conclusion OncoKB, a comprehensive and curated precision oncology knowledge base, offers oncologists detailed, evidence-based information about individual somatic mutations and structural alterations present in patient tumors with the goal of supporting optimal treatment decisions.
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              Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT): A Hybridization Capture-Based Next-Generation Sequencing Clinical Assay for Solid Tumor Molecular Oncology.

              The identification of specific genetic alterations as key oncogenic drivers and the development of targeted therapies are together transforming clinical oncology and creating a pressing need for increased breadth and throughput of clinical genotyping. Next-generation sequencing assays allow the efficient and unbiased detection of clinically actionable mutations. To enable precision oncology in patients with solid tumors, we developed Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets (MSK-IMPACT), a hybridization capture-based next-generation sequencing assay for targeted deep sequencing of all exons and selected introns of 341 key cancer genes in formalin-fixed, paraffin-embedded tumors. Barcoded libraries from patient-matched tumor and normal samples were captured, sequenced, and subjected to a custom analysis pipeline to identify somatic mutations. Sensitivity, specificity, reproducibility of MSK-IMPACT were assessed through extensive analytical validation. We tested 284 tumor samples with previously known point mutations and insertions/deletions in 47 exons of 19 cancer genes. All known variants were accurately detected, and there was high reproducibility of inter- and intrarun replicates. The detection limit for low-frequency variants was approximately 2% for hotspot mutations and 5% for nonhotspot mutations. Copy number alterations and structural rearrangements were also reliably detected. MSK-IMPACT profiles oncogenic DNA alterations in clinical solid tumor samples with high accuracy and sensitivity. Paired analysis of tumors and patient-matched normal samples enables unambiguous detection of somatic mutations to guide treatment decisions.
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                Author and article information

                Journal
                101665661
                44208
                Eur Urol Focus
                Eur Urol Focus
                European urology focus
                2405-4569
                1 April 2022
                September 2022
                11 March 2022
                06 December 2022
                : 8
                : 5
                : 1278-1288
                Affiliations
                [a ]Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
                [b ]SUNY Downstate Health Sciences University, Brooklyn, NY, USA
                [c ]Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
                [d ]Physiology, Biophysics and Systems Biology Graduate Program, Weill Cornell Medicine, New York, NY, USA
                [e ]Genitourinary Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
                [f ]Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
                [g ]Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
                [h ]Sydney Medical School, University of Sydney, Sydney, Australia
                [i ]Cancer Diagnosis and Pathology Group, Kolling Institute of Medical Research, Royal North Shore Hospital, St. Leonards, Australia
                [j ]NSW Health Pathology, Department of Anatomical Pathology, Royal North Shore Hospital, St. Leonards, Australia
                Author notes
                [* ]Corresponding authors. Memorial Sloan Kettering Cancer Center, New York, NY, USA. kotechar@ 123456mskcc.org (R.R. Kotecha), hakimia@ 123456mskcc.org (A. Ari Hakimi), reznike@ 123456mskcc.org (E. Reznik).
                [†]

                Co-first authors.

                Author contributions : Ed Reznik had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

                Study concept and design: Yoo, Tang, Zucker, Chen, Carlo, Kotecha, Hakimi, Reznik.

                Acquisition of data: Yoo, Tang, Zucker, DiNatale, Freeman, Motzer, Coleman, Chen, Carlo, Gill, Kotecha, Hakimi, Reznik.

                Analysis and interpretation of data: Yoo, Tang, Zucker, Fitzgerald, Chen, Carlo, Kotecha, Hakimi, Reznik.

                Drafting of the manuscript: Yoo, Tang, Zucker, Lee, Chen, Carlo, Kotecha, Hakimi, Reznik.

                Critical revision of the manuscript for important intellectual content: Yoo, Tang, Zucker, Fitzgerald, Rappold, Weiss, Lee, Motzer, Russo, Coleman, Reuter, Chen, Carlo, Kotecha, Hakimi, Reznik.

                Statistical analysis: Yoo, Tang, Zucker, Schultz, Carlo, Kotecha, Hakimi, Reznik.

                Obtaining funding: Kotecha, Hakimi, Reznik.

                Administrative, technical, or material support: Schultz.

                Supervision: Lee, Motzer, Russo, Reuter, Carlo, Kotecha, Hakimi, Reznik.

                Other: None.

                Article
                NIHMS1788509
                10.1016/j.euf.2021.12.002
                9464266
                35288096
                060bd938-ac0f-4934-ac6e-ecf6f274f9dc

                This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/).

                History
                Categories
                Article

                sdhrcc,fhrcc,sdh,fh,renal cell carcinoma,metabolism,cancer genomics
                sdhrcc, fhrcc, sdh, fh, renal cell carcinoma, metabolism, cancer genomics

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