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      NAT10-mediated ac4C tRNA modification promotes EGFR mRNA translation and gefitinib resistance in cancer

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          Post-transcriptional gene regulation by mRNA modifications

          The recent discovery of reversible mRNA methylation has opened a new realm of post-transcriptional gene regulation in eukaryotes. The identification and functional characterization of proteins that specifically recognize RNA N6-methyladenosine (m6A) unveiled it as a modification that cells utilize to accelerate
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            Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib.

            Most patients with non-small-cell lung cancer have no response to the tyrosine kinase inhibitor gefitinib, which targets the epidermal growth factor receptor (EGFR). However, about 10 percent of patients have a rapid and often dramatic clinical response. The molecular mechanisms underlying sensitivity to gefitinib are unknown. We searched for mutations in the EGFR gene in primary tumors from patients with non-small-cell lung cancer who had a response to gefitinib, those who did not have a response, and those who had not been exposed to gefitinib. The functional consequences of identified mutations were evaluated after the mutant proteins were expressed in cultured cells. Somatic mutations were identified in the tyrosine kinase domain of the EGFR gene in eight of nine patients with gefitinib-responsive lung cancer, as compared with none of the seven patients with no response (P<0.001). Mutations were either small, in-frame deletions or amino acid substitutions clustered around the ATP-binding pocket of the tyrosine kinase domain. Similar mutations were detected in tumors from 2 of 25 patients with primary non-small-cell lung cancer who had not been exposed to gefitinib (8 percent). All mutations were heterozygous, and identical mutations were observed in multiple patients, suggesting an additive specific gain of function. In vitro, EGFR mutants demonstrated enhanced tyrosine kinase activity in response to epidermal growth factor and increased sensitivity to inhibition by gefitinib. A subgroup of patients with non-small-cell lung cancer have specific mutations in the EGFR gene, which correlate with clinical responsiveness to the tyrosine kinase inhibitor gefitinib. These mutations lead to increased growth factor signaling and confer susceptibility to the inhibitor. Screening for such mutations in lung cancers may identify patients who will have a response to gefitinib. Copyright 2004 Massachusetts Medical Society
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              The m(6)A Methyltransferase METTL3 Promotes Translation in Human Cancer Cells.

              METTL3 is an RNA methyltransferase implicated in mRNA biogenesis, decay, and translation control through N(6)-methyladenosine (m(6)A) modification. Here we find that METTL3 promotes translation of certain mRNAs including epidermal growth factor receptor (EGFR) and the Hippo pathway effector TAZ in human cancer cells. In contrast to current models that invoke m(6)A reader proteins downstream of nuclear METTL3, we find METTL3 associates with ribosomes and promotes translation in the cytoplasm. METTL3 depletion inhibits translation, and both wild-type and catalytically inactive METTL3 promote translation when tethered to a reporter mRNA. Mechanistically, METTL3 enhances mRNA translation through an interaction with the translation initiation machinery. METTL3 expression is elevated in lung adenocarcinoma and using both loss- and gain-of-function studies, we find that METTL3 promotes growth, survival, and invasion of human lung cancer cells. Our results uncover an important role of METTL3 in promoting translation of oncogenes in human lung cancer.
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                Author and article information

                Journal
                Cell Reports
                Cell Reports
                Elsevier BV
                22111247
                July 2023
                July 2023
                : 42
                : 7
                : 112810
                Article
                10.1016/j.celrep.2023.112810
                37463108
                cc2723d8-086d-4c36-9c31-c09aebca597b
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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