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      Prospective clinical sequencing of 1016 Chinese prostate cancer patients: uncovering genomic characterization and race disparity

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          Abstract

          Although there is a well‐known disparity in prostate cancer (PC) incidence and mortality between Chinese and Western patients, the underlying genomic differences have been investigated only sparsely. This clinicogenomic study was conducted to reveal the genomic mutations contributing to the PC disparity across ethnicities and investigate the mutational profile of Chinese PC patients. A total of 1016 Chinese PC patients were prospectively enrolled and subjected to targeted sequencing, resulting in usable sequencing data for 41 genes from 859 patients. Genomic data retrieved from The Cancer Genome Atlas (TCGA; locoregional PC), Memorial Sloan Kettering Cancer Center [MSKCC; metastatic castration‐sensitive PC (mCSPC)], and Stand Up To Cancer [SU2C; metastatic castration‐resistant PC (mCRPC)] cohorts were used as comparators representing Western men. Genomic mutations were analyzed using an integrated bioinformatic strategy. A comparison of the disease stages revealed that mutations in tumor protein 53 ( TP53), androgen receptor ( AR), forkhead box A1 ( FOXA1), and genes involved in the cell cycle pathway were enriched in mCRPC. Mutations in adenomatous polyposis coli ( APC) gene were found to be more prevalent in patients with visceral metastasis. Genomic differences between Western and Chinese men were mainly observed in castration‐sensitive PC, with tumors from Chinese men having more FOXA1 (11.4% vs. 4.2%) but fewer TP53 (4.8% vs. 13%) mutations in locoregional PC and harboring fewer TP53 (11% vs. 29.2%), phosphatase and tensin homolog ( PTEN; 2.5% vs. 10.3%), and APC (1.7% vs. 7.4%) mutations in the mCSPC stage than those of Western men. Patients of both ethnicities with mCRPC had similar mutational spectra. Furthermore, FOXA1 class‐2 was less common than FOXA1 class‐1 and showed no enrichment in metastasis, contrary to the findings in the Western cohort. Our study provides a valuable resource for a better understanding of PC in China and reveals the genomic alterations associated with PC disparity across races.

          Abstract

          The authors sequenced the genomic DNA from 1016 Chinese prostate cancer patients. Mutations in TP53, AR, and FOXA1 were enriched in metastatic castration‐resistant prostate cancers (mCRPCs), and APC mutations were enriched in liver metastasis. The authors also found notable genomic difference between tumors in Chinese and Western men, with more FOXA1 but fewer TP53, PTEN, and APC mutations in Chinese men.

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology

            The American College of Medical Genetics and Genomics (ACMG) previously developed guidance for the interpretation of sequence variants. 1 In the past decade, sequencing technology has evolved rapidly with the advent of high-throughput next generation sequencing. By adopting and leveraging next generation sequencing, clinical laboratories are now performing an ever increasing catalogue of genetic testing spanning genotyping, single genes, gene panels, exomes, genomes, transcriptomes and epigenetic assays for genetic disorders. By virtue of increased complexity, this paradigm shift in genetic testing has been accompanied by new challenges in sequence interpretation. In this context, the ACMG convened a workgroup in 2013 comprised of representatives from the ACMG, the Association for Molecular Pathology (AMP) and the College of American Pathologists (CAP) to revisit and revise the standards and guidelines for the interpretation of sequence variants. The group consisted of clinical laboratory directors and clinicians. This report represents expert opinion of the workgroup with input from ACMG, AMP and CAP stakeholders. These recommendations primarily apply to the breadth of genetic tests used in clinical laboratories including genotyping, single genes, panels, exomes and genomes. This report recommends the use of specific standard terminology: ‘pathogenic’, ‘likely pathogenic’, ‘uncertain significance’, ‘likely benign’, and ‘benign’ to describe variants identified in Mendelian disorders. Moreover, this recommendation describes a process for classification of variants into these five categories based on criteria using typical types of variant evidence (e.g. population data, computational data, functional data, segregation data, etc.). Because of the increased complexity of analysis and interpretation of clinical genetic testing described in this report, the ACMG strongly recommends that clinical molecular genetic testing should be performed in a CLIA-approved laboratory with results interpreted by a board-certified clinical molecular geneticist or molecular genetic pathologist or equivalent.
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              ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data

              High-throughput sequencing platforms are generating massive amounts of genetic variation data for diverse genomes, but it remains a challenge to pinpoint a small subset of functionally important variants. To fill these unmet needs, we developed the ANNOVAR tool to annotate single nucleotide variants (SNVs) and insertions/deletions, such as examining their functional consequence on genes, inferring cytogenetic bands, reporting functional importance scores, finding variants in conserved regions, or identifying variants reported in the 1000 Genomes Project and dbSNP. ANNOVAR can utilize annotation databases from the UCSC Genome Browser or any annotation data set conforming to Generic Feature Format version 3 (GFF3). We also illustrate a ‘variants reduction’ protocol on 4.7 million SNVs and indels from a human genome, including two causal mutations for Miller syndrome, a rare recessive disease. Through a stepwise procedure, we excluded variants that are unlikely to be causal, and identified 20 candidate genes including the causal gene. Using a desktop computer, ANNOVAR requires ∼4 min to perform gene-based annotation and ∼15 min to perform variants reduction on 4.7 million variants, making it practical to handle hundreds of human genomes in a day. ANNOVAR is freely available at http://www.openbioinformatics.org/annovar/ .
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                Author and article information

                Contributors
                10301010020@fudan.edu.cn
                dingwei_ye@fudan.edu.cn
                zhuyao@fudan.edu.cn
                Journal
                Mol Oncol
                Mol Oncol
                10.1002/(ISSN)1878-0261
                MOL2
                Molecular Oncology
                John Wiley and Sons Inc. (Hoboken )
                1574-7891
                1878-0261
                23 August 2023
                October 2023
                : 17
                : 10 ( doiID: 10.1002/mol2.v17.10 )
                : 2183-2199
                Affiliations
                [ 1 ] Department of Urology Fudan University Shanghai Cancer Center China
                [ 2 ] Department of Oncology, Shanghai Medical College Fudan University Shanghai China
                [ 3 ] Shanghai Genitourinary Cancer Institute China
                [ 4 ] Department of Pathology Fudan University Shanghai Cancer Center China
                Author notes
                [*] [* ] Correspondence

                J. Wu, D. Ye and Y. Zhu, Department of Urology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai 200032, China

                Fax: +86 21 64434556; +86 21 64434556; +86 21 64434556

                Tel: +86 21 64175590; +86 21 64175590; +86 21 64175590

                E‐mail: 10301010020@ 123456fudan.edu.cn ; dingwei_ye@ 123456fudan.edu.cn ; zhuyao@ 123456fudan.edu.cn

                Author information
                https://orcid.org/0000-0002-8361-7529
                https://orcid.org/0000-0001-8666-4606
                https://orcid.org/0000-0002-3279-2140
                https://orcid.org/0000-0002-4125-7975
                https://orcid.org/0000-0003-4974-3780
                https://orcid.org/0000-0001-7950-6669
                Article
                MOL213511 MOLONC-22-1054.R2
                10.1002/1878-0261.13511
                10552897
                37584393
                d738dd21-9125-4fe6-822b-8a697ce49270
                © 2023 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 06 July 2023
                : 30 January 2023
                : 14 August 2023
                Page count
                Figures: 6, Tables: 0, Pages: 2199, Words: 11519
                Funding
                Funded by: Chinese Anti‐Cancer Association Foundation
                Award ID: CETSDHRCORP252‐3‐018
                Funded by: Natural Science Foundation of Shanghai , doi 10.13039/100007219;
                Award ID: 23ZR1412200
                Funded by: Program of Shanghai Academic Research Leader , doi 10.13039/501100012247;
                Award ID: 23XD1420600
                Funded by: Shanghai Medical Innovation Research Special Project
                Award ID: 21Y11904300
                Funded by: the General Program of Beijing Xisike Clinical Oncology Research Foundation
                Award ID: Y‐2019AZMS‐0012
                Funded by: the National Nature Science Foundation of China
                Award ID: 82172621
                Categories
                Prostate Cancer
                Research Article
                Research Articles
                Custom metadata
                2.0
                October 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.4 mode:remove_FC converted:05.10.2023

                Oncology & Radiotherapy
                chinese population,clinical sequencing cohort,ethnic disparity,foxa1,prostate cancer

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