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      Pathogenic alterations in PIK3CA and KMT2C are frequent and independent prognostic factors in anal squamous cell carcinoma treated with salvage abdominoperineal resection

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          Abstract

          The management of anal squamous cell carcinoma (ASCC) has yet to experience the transformative impact of precision medicine. Conducting genomic analyses may uncover novel prognostic biomarkers and offer potential directions for the development of targeted therapies. To that end, we assessed the prognostic and theragnostic implications of pathogenic variants identified in 571 cancer‐related genes from surgical samples collected from a homogeneous, multicentric French cohort of 158 ASCC patients who underwent abdominoperineal resection treatment. Alterations in PI3K/AKT/mTOR, chromatin remodeling, and Notch pathways were frequent in HPV‐positive tumors, while HPV‐negative tumors often harbored variants in cell cycle regulation and genome integrity maintenance genes (e.g., frequent TP53 and TERT promoter mutations). In patients with HPV‐positive tumors, KMT2C and PIK3CA exon 9/20 pathogenic variants were associated with worse overall survival in multivariate analysis (Hazard ratio (HR) KMT2C = 2.54, 95%CI = [1.25,5.17], P value = .010; HR PIK3CA = 2.43, 95%CI = [1.3,4.56], P value = .006). Alterations with theragnostic value in another cancer type was detected in 43% of patients. These results suggest that PIK3CA and KMT2C pathogenic variants are independent prognostic factors in patients with ASCC with HPV‐positive tumors treated by abdominoperineal resection. And, importantly, the high prevalence of alterations bearing potential theragnostic value strongly supports the use of genomic profiling to allow patient enrollment in precision medicine clinical trials.

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          Most cited references57

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          Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.

          The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. The query interface combined with customized data storage enables researchers to interactively explore genetic alterations across samples, genes, and pathways and, when available in the underlying data, to link these to clinical outcomes. The portal provides graphical summaries of gene-level data from multiple platforms, network visualization and analysis, survival analysis, patient-centric queries, and software programmatic access. The intuitive Web interface of the portal makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries. Here, we provide a practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics.
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            Is Open Access

            The mutational constraint spectrum quantified from variation in 141,456 humans

            Genetic variants that inactivate protein-coding genes are a powerful source of information about the phenotypic consequences of gene disruption: genes that are crucial for the function of an organism will be depleted of such variants in natural populations, whereas non-essential genes will tolerate their accumulation. However, predicted loss-of-function variants are enriched for annotation errors, and tend to be found at extremely low frequencies, so their analysis requires careful variant annotation and very large sample sizes 1 . Here we describe the aggregation of 125,748 exomes and 15,708 genomes from human sequencing studies into the Genome Aggregation Database (gnomAD). We identify 443,769 high-confidence predicted loss-of-function variants in this cohort after filtering for artefacts caused by sequencing and annotation errors. Using an improved model of human mutation rates, we classify human protein-coding genes along a spectrum that represents tolerance to inactivation, validate this classification using data from model organisms and engineered human cells, and show that it can be used to improve the power of gene discovery for both common and rare diseases.
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              COSMIC: the Catalogue Of Somatic Mutations In Cancer

              Abstract COSMIC, the Catalogue Of Somatic Mutations In Cancer (https://cancer.sanger.ac.uk) is the most detailed and comprehensive resource for exploring the effect of somatic mutations in human cancer. The latest release, COSMIC v86 (August 2018), includes almost 6 million coding mutations across 1.4 million tumour samples, curated from over 26 000 publications. In addition to coding mutations, COSMIC covers all the genetic mechanisms by which somatic mutations promote cancer, including non-coding mutations, gene fusions, copy-number variants and drug-resistance mutations. COSMIC is primarily hand-curated, ensuring quality, accuracy and descriptive data capture. Building on our manual curation processes, we are introducing new initiatives that allow us to prioritize key genes and diseases, and to react more quickly and comprehensively to new findings in the literature. Alongside improvements to the public website and data-download systems, new functionality in COSMIC-3D allows exploration of mutations within three-dimensional protein structures, their protein structural and functional impacts, and implications for druggability. In parallel with COSMIC’s deep and broad variant coverage, the Cancer Gene Census (CGC) describes a curated catalogue of genes driving every form of human cancer. Currently describing 719 genes, the CGC has recently introduced functional descriptions of how each gene drives disease, summarized into the 10 cancer Hallmarks.
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                Author and article information

                Contributors
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                Journal
                International Journal of Cancer
                Intl Journal of Cancer
                Wiley
                0020-7136
                1097-0215
                February 2024
                October 31 2023
                February 2024
                : 154
                : 3
                : 504-515
                Affiliations
                [1 ] Department of Genetics Institut Curie, PSL Research University Paris France
                [2 ] Department of Medical Oncology Institut Curie, PSL Research University Saint‐Cloud France
                [3 ] Department of Digestive Surgery Sorbonne Université, Assistance Publique‐Hôpitaux de Paris, Hôpital Saint Antoine Paris France
                [4 ] Department of Pathology Hôpital Saint‐Antoine, Assistance Publique‐Hôpitaux de Paris France
                [5 ] Department of Digestive Surgery Gustave Roussy Institute Villejuif France
                [6 ] Department of Pathology Gustave Roussy Institute Villejuif France
                [7 ] Department of Medical Oncology Institut du Cancer de Montpellier Montpellier France
                [8 ] INSERM U900 Research Unit, Institut Curie PSL Research University Paris France
                [9 ] Department of Pathology Université Paris‐Saclay, Assistance Publique‐Hôpitaux de Paris, UVSQ, BECCOH, Hôpital Ambroise‐Paré Boulogne‐Billancourt France
                [10 ] Department of Gastroenterology Rennes University Hospital Rennes France
                [11 ] Laboratory of preclinical investigation, Translational Research Department Institut Curie, PSL Research University Paris France
                [12 ] Faculty of Pharmaceutical and Biological Sciences Paris Cité University Paris France
                [13 ] Department of Medical Oncology Centre Léon Bérard Lyon France
                [14 ] Department of Gastroenterology and Hepatology Poitiers University Hospital Poitiers France
                [15 ] Department of Oncology Vita‐Salute San Raffaele University, IRCCS San Raffaele Scientific Institute Hospital Milan Italy
                [16 ] Department of Surgery Institut Curie, PSL Research University Paris France
                [17 ] Department of Digestive and Oncologic Surgery Ambroise Paré Hospital, Versailles Saint‐Quentin University, Paris Saclay University Boulogne‐Billancourt France
                [18 ] Department of Medical Oncology Hôpital Privé Pays de Savoie Annemasse France
                [19 ] Rennes 1 University, Inserm U1242, COSS (Chemistry Oncogenesis Stress Signaling) Rennes France
                [20 ] Faculty of Pharmaceutical and Biological Sciences Paris Cité University, INSERM U1016 Paris France
                Article
                10.1002/ijc.34781
                49f13648-1b26-4679-9a63-1cacee18642b
                © 2024

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