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  • 1
    Online Resource
    Online Resource
    BRAF-inhibitor Associated MEK Mutations Increase RAF-Dependent and -Independent Enzymatic Activity
    American Association for Cancer Research (AACR) ; 2017
    In:  Molecular Cancer Research Vol. 15, No. 10 ( 2017-10-01), p. 1431-1444
    Details
    In: Molecular Cancer Research, American Association for Cancer Research (AACR), Vol. 15, No. 10 ( 2017-10-01), p. 1431-1444
    Abstract: Alterations in MEK1/2 occur in cancers, both in the treatment-naïve state and following targeted therapies, most notably BRAF and MEK inhibitors in BRAF-V600E–mutant melanoma and colorectal cancer. Efforts were undertaken to understand the effects of these mutations, based upon protein structural location, and MEK1/2 activity. Two categories of MEK1/2 alterations were evaluated, those associated with either the allosteric pocket or helix-A. Clinically, MEK1/2 alterations of the allosteric pocket are rare and we demonstrate that they confer resistance to MEK inhibitors, while retaining sensitivity to BRAF inhibition. Most mutations described in patients fall within, or are associated with, helix-A. Mutations in this region reduce sensitivity to both BRAF and MEK inhibition and display elevated phospho-ERK1/2 levels, independent from increases in phospho-MEK1/2. Biochemical experiments with a representative helix-A variant, MEK1-Q56P, reveal both increased catalytic efficiency of the activated enzyme, and phosphorylation-independent activity relative to wild-type MEK1. Consistent with these findings, MEK1/2 alterations in helix A retain sensitivity to downstream antagonism via pharmacologic inhibition of ERK1/2. This work highlights the importance of classifying mutations based on structural and phenotypic consequences, both in terms of pathway signaling output and response to pharmacologic inhibition. Implications: This study suggests that alternate modes of target inhibition, such as ERK inhibition, will be required to effectively treat tumors harboring these MEK1/2-resistant alleles. Mol Cancer Res; 15(10); 1431–44. ©2017 AACR.
    Type of Medium: Online Resource
    ISSN: 1541-7786 , 1557-3125
    URL: Article
    DOI: 10.1158/1541-7786.MCR-17-0211
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
    detail.hit.zdb_id: 2097884-4
    SSG: 12
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    Abstract 2847: High complexity barcoding to study clonal dynamics in response to cancer therapy
    American Association for Cancer Research (AACR) ; 2015
    In:  Cancer Research Vol. 75, No. 15_Supplement ( 2015-08-01), p. 2847-2847
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 75, No. 15_Supplement ( 2015-08-01), p. 2847-2847
    Abstract: Targeted therapies, such as erlotinib and imatinib, lead to dramatic clinical responses, but the emergence of resistance presents a significant challenge. Recent studies have revealed intratumoral heterogeneity as a potential source for the emergence of therapeutic resistance. However, it is still unclear if relapse/resistance is driven predominantly by pre-existing or de novo acquired alterations. To address this question, we developed a high-complexity barcode library, ClonTracer, which contains over 27 million unique DNA barcodes and thus enables the high resolution tracking of cancer cells under drug treatment. Using this library in two clinically relevant resistance models, we demonstrate that the majority of resistant clones pre-exist as rare subpopulations that become selected in response to therapeutic challenge. Furthermore, our data provide direct evidence that both genetic and non-genetic resistance mechanisms pre-exist in cancer cell populations. The ClonTracer barcoding strategy, together with mathematical modeling, enabled us to quantitatively dissect the frequency of drug-resistant subpopulations and evaluate the impact of combination treatments on the clonal complexity of these cancer models. Hence, monitoring of clonal diversity in drug-resistant cell populations by the ClonTracer barcoding strategy described here may provide a valuable tool to optimize therapeutic regimens towards the goal of curative cancer therapies. Citation Format: Hyo-eun C. Bhang, David A. Ruddy, Viveksagar Krishnamurthy Radhakrishna, Rui Zhao, Iris Kao, Daniel Rakiec, Pamela Shaw, Marissa Balak, Justina X. Caushi, Elizabeth Ackley, Nicholas Keen, Michael R. Schlabach, Michael Palmer, William R. Sellers, Franziska Michor, Vesselina G. Cooke, Joshua M. Korn, Frank Stegmeier. High complexity barcoding to study clonal dynamics in response to cancer therapy. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2847. doi:10.1158/1538-7445.AM2015-2847
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.AM2015-2847
    RVK:
    XA 36000
    RVK:
    XA 10000
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2015
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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