Literature DB >> 21487036

Cancer-associated loss-of-function mutations implicate DAPK3 as a tumor-suppressing kinase.

John Brognard1, You-Wei Zhang, Lorena A Puto, Tony Hunter.   

Abstract

Cancer kinome sequencing studies have identified several protein kinases predicted to possess driver (i.e., causal) mutations. Using bioinformatic applications, we have pinpointed DAPK3 (ZIPK) as a novel cancer-associated kinase with functional mutations. Evaluation of nonsynonymous point mutations, discovered in DAPK3 in various tumors (T112M, D161N, and P216S), reveals that all three mutations decrease or abolish kinase activity. Furthermore, phenotypic assays indicate that the three mutations observed in cancer abrogate the function of the kinase to regulate both the cell cycle and cell survival. Coexpression of wild-type (WT) and cancer mutant kinases shows that the cancer mutants dominantly inhibit the function of the WT kinase. Reconstitution of a non-small cell lung cancer cell line that harbors an endogenous mutation in DAPK3 (P216S) with WT DAPK3 resulted in decreased cellular aggregation and increased sensitivity to chemotherapy. Our results suggest that DAPK3 is a tumor suppressor in which loss-of-function mutations promote increased cell survival, proliferation, cellular aggregation, and increased resistance to chemotherapy. ©2011 AACR.

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Year:  2011        PMID: 21487036      PMCID: PMC3078168          DOI: 10.1158/0008-5472.CAN-10-3543

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  27 in total

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  29 in total

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5.  Vitamin D activation of functionally distinct regulatory miRNAs in primary human osteoblasts.

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8.  ProKinO: a unified resource for mining the cancer kinome.

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9.  A whole-genome massively parallel sequencing analysis of BRCA1 mutant oestrogen receptor-negative and -positive breast cancers.

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Journal:  J Pathol       Date:  2012-02-23       Impact factor: 7.996

10.  Genes-environment interactions in obesity- and diabetes-associated pancreatic cancer: a GWAS data analysis.

Authors:  Hongwei Tang; Peng Wei; Eric J Duell; Harvey A Risch; Sara H Olson; H Bas Bueno-de-Mesquita; Steven Gallinger; Elizabeth A Holly; Gloria M Petersen; Paige M Bracci; Robert R McWilliams; Mazda Jenab; Elio Riboli; Anne Tjønneland; Marie Christine Boutron-Ruault; Rudolf Kaaks; Dimitrios Trichopoulos; Salvatore Panico; Malin Sund; Petra H M Peeters; Kay-Tee Khaw; Christopher I Amos; Donghui Li
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10-17       Impact factor: 4.090

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