Literature DB >> 26820797

Pre-clinical use of isogenic cell lines and tumours in vitro and in vivo for predictive biomarker discovery; impact of KRAS and PI3KCA mutation status on MEK inhibitor activity is model dependent.

Emma J Haagensen1, Huw D Thomas1, Clare Mudd2, Elpida Tsonou2, Ceri M Wiggins2, Ross J Maxwell1, Jonathan D Moore2, David R Newell3.   

Abstract

Studies to identify predictive biomarkers can be carried out in isogenic cancer cell lines, which enable interrogation of the effect of a specific mutation. We assessed the effects of four drugs, the PI3K-mammalian target of rapamycin inhibitor dactolisib, the PI3K inhibitor pictrelisib, and the MEK (MAPK/ERK Kinase) inhibitors PD 0325901 and selumetinib, in isogenic DLD1 parental, KRAS(+/-), KRAS(G13D/-), PIK3CA(+/-) and PIK3CA(E545K/-) colorectal carcinoma cell lines. Importantly, we found substantial differences in the growth of these cells and in their drug sensitivity depending on whether they were studied under 2D (standard tissue culture on plastic) or 3D (in vitro soft agar and in vivo xenograft) conditions. DLD1 KRAS(+/-) and DLD1 PIK3CA(+/-) cells were more sensitive to MEK inhibitors than parental, DLD1 KRAS(G13D/-) and DLD1 PIK3CA(E545K/-) cells under 2D conditions, whereas DLD1 KRAS(G13D/-) and DLD1 PIK3CA(E545K/-) xenografts were sensitive to 10 mg/kg daily ×14 PD 0325901 in vivo (p ≤ 0.02) but tumours derived from parental DLD1 cells were not. These findings indicate that KRAS and PIK3CA mutations can influence the response of DLD1 colorectal cancer cell lines to MEK and PI3K inhibitors, but that the effect is dependent on the experimental model used to assess drug sensitivity.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomarker; Combination; Isogenic; MEK; PI3K

Mesh:

Substances:

Year:  2016        PMID: 26820797     DOI: 10.1016/j.ejca.2015.12.012

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  10 in total

1.  H-Ras Transformation of Mammary Epithelial Cells Induces ERK-Mediated Spreading on Low Stiffness Matrix.

Authors:  Christopher Plunkett; Aditya Kumar; Jaime Yrastorza; Yang-Hsun Hou; Jesse K Placone; Gillian Grennan; Adam J Engler
Journal:  Adv Healthc Mater       Date:  2020-01-17       Impact factor: 9.933

Review 2.  Synthetic Lethal Networks for Precision Oncology: Promises and Pitfalls.

Authors:  John Paul Shen; Trey Ideker
Journal:  J Mol Biol       Date:  2018-06-20       Impact factor: 5.469

3.  Enhanced anti-tumour activity of the combination of the novel MEK inhibitor WX-554 and the novel PI3K inhibitor WX-037.

Authors:  Emma J Haagensen; Huw D Thomas; Wolfgang A Schmalix; Andrew C Payne; Lara Kevorkian; Rodger A Allen; Paul Bevan; Ross J Maxwell; David R Newell
Journal:  Cancer Chemother Pharmacol       Date:  2016-11-11       Impact factor: 3.333

4.  Transcriptome profiling of the interconnection of pathways involved in malignant transformation and response to hypoxia.

Authors:  Frida Danielsson; Erik Fasterius; Devin Sullivan; Linnea Hases; Kemal Sanli; Cheng Zhang; Adil Mardinoglu; Cristina Al-Khalili; Mikael Huss; Mathias Uhlén; Cecilia Williams; Emma Lundberg
Journal:  Oncotarget       Date:  2018-04-13

5.  The oncogene KRAS promotes cancer cell dissemination by stabilizing spheroid formation via the MEK pathway.

Authors:  Juri Ogishima; Ayumi Taguchi; Akira Kawata; Kei Kawana; Mitsuyo Yoshida; Yuki Yoshimatsu; Masakazu Sato; Hiroe Nakamura; Yoshiko Kawata; Akira Nishijima; Asaha Fujimoto; Kensuke Tomio; Katsuyuki Adachi; Takeshi Nagamatsu; Katsutoshi Oda; Tohru Kiyono; Yutaka Osuga; Tomoyuki Fujii
Journal:  BMC Cancer       Date:  2018-12-03       Impact factor: 4.430

6.  Identifying mutant-specific multi-drug combinations using comparative network reconstruction.

Authors:  Evert Bosdriesz; João M Fernandes Neto; Anja Sieber; René Bernards; Nils Blüthgen; Lodewyk F A Wessels
Journal:  iScience       Date:  2022-07-15

7.  Literature-based translation from synthetic lethality screening into therapeutics targets: CD82 is a novel target for KRAS mutation in colon cancer.

Authors:  Hsih-Te Yang; Ming-Yu Chien; Jung-Hsien Chiang; Peng-Chan Lin
Journal:  Comput Struct Biotechnol J       Date:  2022-09-21       Impact factor: 6.155

Review 8.  Cancer models in preclinical research: A chronicle review of advancement in effective cancer research.

Authors:  Humna Sajjad; Saiqa Imtiaz; Tayyaba Noor; Yusra Hasan Siddiqui; Anila Sajjad; Muhammad Zia
Journal:  Animal Model Exp Med       Date:  2021-03-29

9.  Data on tumor progression of c-mos deficiency in murine models of KrasG12D lung and ApcMin colorectal cancer.

Authors:  Zhengxi Chen; Ju Qiao; Qirui Wang; Qian Xiao
Journal:  Data Brief       Date:  2018-08-31

Review 10.  Current methods in translational cancer research.

Authors:  Michael W Lee; Mihailo Miljanic; Todd Triplett; Craig Ramirez; Kyaw L Aung; S Gail Eckhardt; Anna Capasso
Journal:  Cancer Metastasis Rev       Date:  2020-09-14       Impact factor: 9.264

  10 in total

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