Literature DB >> 29895971

β-catenin/TCF activity regulates IGF-1R tyrosine kinase inhibitor sensitivity in colon cancer.

Hani Lee1,2, Nayoung Kim2,3, Young Ji Yoo1,2, Hyejin Kim1,2, Euna Jeong2, SeokGyeong Choi1,2, Sung Un Moon2, Seung Hyun Oh4, Gordon B Mills5, Sukjoon Yoon6,7, Woo-Young Kim8,9.   

Abstract

The availability of large-scale drug screening data on cell line panels provides a unique opportunity to identify predictive biomarkers for targeted drug efficacy. Analysis of diverse drug data on ~990 cancer cell lines revealed enhanced sensitivity of insulin-like growth factor 1 receptor/ Insulin Receptor (IGF-1R/IR) tyrosine kinase inhibitors (TKIs) in colon cancer cells. Interestingly, β-catenin/TCF(T cell factor)-responsive promoter activity exhibited a significant positive association with IGF-1R/IR TKI response, while the mutational status of direct upstream genes, such as CTNNB1 and APC, was not significantly associated with the response. The β-catenin/TCF activity high cell lines express components of IGF-1R/IR signaling more than the low cell lines explaining their enhanced sensitivity against IGF-1R/IR TKI. Reinforcing β-catenin/TCF responsive promoter activity by introducing CTNNB1 gain-of-function mutations into IGF-1R/IR TKI-resistant cells increased the expression and activity of IGF-1R/IR signaling components and also sensitized the cells to IGF-1R/IR TKIs in vitro and in vivo. Analysis of TCGA data revealed that the stronger β-catenin/TCF responsive promoter activity was associated with higher IGF-1R and IGF2 transcription in human colon cancer specimens as well. Collectively, compared to the mutational status of upstream genes, β-catenin/TCF responsive promoter activity has potential to be a stronger predictive positive biomarker for IGF-1R/IR TKI responses in colon cancer cells. The present study highlights the potential of transcriptional activity as therapeutic biomarkers for targeted therapies, overcoming the limited ability of upstream genetic mutations to predict responses.

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Year:  2018        PMID: 29895971     DOI: 10.1038/s41388-018-0362-5

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  55 in total

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Review 3.  Epidermal growth factor receptor signaling in colorectal cancer: preclinical data and therapeutic perspectives.

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Journal:  Ann Oncol       Date:  2005-02       Impact factor: 32.976

Review 4.  Wnt/beta-catenin signaling in cancer stemness and malignant behavior.

Authors:  Riccardo Fodde; Thomas Brabletz
Journal:  Curr Opin Cell Biol       Date:  2007-02-16       Impact factor: 8.382

5.  Preexistence and clonal selection of MET amplification in EGFR mutant NSCLC.

Authors:  Alexa B Turke; Kreshnik Zejnullahu; Yi-Long Wu; Youngchul Song; Dora Dias-Santagata; Eugene Lifshits; Luca Toschi; Andrew Rogers; Tony Mok; Lecia Sequist; Neal I Lindeman; Carly Murphy; Sara Akhavanfard; Beow Y Yeap; Yun Xiao; Marzia Capelletti; A John Iafrate; Charles Lee; James G Christensen; Jeffrey A Engelman; Pasi A Jänne
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9.  A phase I study of continuous oral dosing of OSI-906, a dual inhibitor of insulin-like growth factor-1 and insulin receptors, in patients with advanced solid tumors.

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Journal:  Nucleic Acids Res       Date:  2012-11-23       Impact factor: 16.971

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Authors:  Eliot Osher; Valentine M Macaulay
Journal:  Cells       Date:  2019-08-14       Impact factor: 6.600

Review 2.  Insulin-like growth factor receptor signaling in tumorigenesis and drug resistance: a challenge for cancer therapy.

Authors:  Hui Hua; Qingbin Kong; Jie Yin; Jin Zhang; Yangfu Jiang
Journal:  J Hematol Oncol       Date:  2020-06-03       Impact factor: 17.388

Review 3.  Insulin-Like Growth Factor 2 (IGF2) Signaling in Colorectal Cancer-From Basic Research to Potential Clinical Applications.

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Journal:  Int J Mol Sci       Date:  2019-10-03       Impact factor: 5.923

Review 4.  An update on Wnt signaling pathway in cancer.

Authors:  Yanlu Zhang; Dan Zu; Zhe Chen; Guoqing Ying
Journal:  Transl Cancer Res       Date:  2020-02       Impact factor: 1.241

  4 in total

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