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      Targeting mutations in cancer

      review-article
      1 , 2 , 3 , 4 , 2 , 3 , 4 , 5 , 2 , 3 , 4 , 2 , 3 , 4 , 5 ,
      The Journal of Clinical Investigation
      American Society for Clinical Investigation

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          Abstract

          Targeted therapies have come to play an increasingly important role in cancer therapy over the past two decades. This success has been made possible in large part by technological advances in sequencing, which have greatly advanced our understanding of the mutational landscape of human cancer and the genetic drivers present in individual tumors. We are rapidly discovering a growing number of mutations that occur in targetable pathways, and thus tumor genetic testing has become an important component in the choice of appropriate therapies. Targeted therapy has dramatically transformed treatment outcomes and disease prognosis in some settings, whereas in other oncologic contexts, targeted approaches have yet to demonstrate considerable clinical efficacy. In this Review, we summarize the current knowledge of targetable mutations that occur in a range of cancers, including hematologic malignancies and solid tumors such as non–small cell lung cancer and breast cancer. We outline seminal examples of druggable mutations and targeting modalities and address the clinical and research challenges that must be overcome to maximize therapeutic benefit.

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          Osimertinib in Untreated EGFR-Mutated Advanced Non–Small-Cell Lung Cancer

          Osimertinib is an oral, third-generation, irreversible epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) that selectively inhibits both EGFR-TKI-sensitizing and EGFR T790M resistance mutations. We compared osimertinib with standard EGFR-TKIs in patients with previously untreated, EGFR mutation-positive advanced non-small-cell lung cancer (NSCLC).
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            The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge

            The Cancer Genome Atlas (TCGA) is a public funded project that aims to catalogue and discover major cancer-causing genomic alterations to create a comprehensive “atlas” of cancer genomic profiles. So far, TCGA researchers have analysed large cohorts of over 30 human tumours through large-scale genome sequencing and integrated multi-dimensional analyses. Studies of individual cancer types, as well as comprehensive pan-cancer analyses have extended current knowledge of tumorigenesis. A major goal of the project was to provide publicly available datasets to help improve diagnostic methods, treatment standards, and finally to prevent cancer. This review discusses the current status of TCGA Research Network structure, purpose, and achievements.
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              Genomic Classification and Prognosis in Acute Myeloid Leukemia

              New England Journal of Medicine, 374(23), 2209-2221
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                Author and article information

                Contributors
                Journal
                J Clin Invest
                J Clin Invest
                J Clin Invest
                The Journal of Clinical Investigation
                American Society for Clinical Investigation
                0021-9738
                1558-8238
                15 April 2022
                15 April 2022
                15 April 2022
                15 April 2022
                : 132
                : 8
                : e154943
                Affiliations
                [1 ]Gerstner Sloan Kettering Graduate Program in Biomedical Sciences,
                [2 ]Human Oncology and Pathogenesis Program,
                [3 ]Center for Hematologic Malignancies,
                [4 ]Center for Epigenetics Research, and
                [5 ]Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
                Author notes
                Address correspondence to: Ross L. Levine, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, New York 10065, USA. Email: leviner@ 123456mskcc.org .
                Author information
                http://orcid.org/0000-0002-0602-1158
                http://orcid.org/0000-0002-1018-4400
                Article
                154943
                10.1172/JCI154943
                9012285
                35426374
                25531f70-86df-49e1-b030-7f4866e340a3
                © 2022 Waarts et al.

                This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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