Literature DB >> 18524847

In vitro differential sensitivity of melanomas to phenothiazines is based on the presence of codon 600 BRAF mutation.

Ogechi N Ikediobi1, Mark Reimers, Steffen Durinck, Paul E Blower, Andrew P Futreal, Michael R Stratton, John N Weinstein.   

Abstract

The panel of 60 human cancer cell lines (the NCI-60) assembled by the National Cancer Institute for anticancer drug discovery is a widely used resource. We previously sequenced 24 cancer genes in those cell lines. Eleven of the genes were found to be mutated in three or more of the lines. Using a pharmacogenomic approach, we analyzed the relationship between drug activity and mutations in those 11 genes (APC, RB1, KRAS, NRAS, BRAF, PIK3CA, PTEN, STK11, MADH4, TP53, and CDKN2A). That analysis identified an association between mutation in BRAF and the antiproliferative potential of phenothiazine compounds. Phenothiazines have been used as antipsychotics and as adjunct antiemetics during cancer chemotherapy and more recently have been reported to have anticancer properties. However, to date, the anticancer mechanism of action of phenothiazines has not been elucidated. To follow up on the initial pharmacologic observations in the NCI-60 screen, we did pharmacologic experiments on 11 of the NCI-60 cell lines and, prospectively, on an additional 24 lines. The studies provide evidence that BRAF mutation (codon 600) in melanoma as opposed to RAS mutation is predictive of an increase in sensitivity to phenothiazines as determined by 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium, inner salt assay (Wilcoxon P = 0.007). That pattern of increased sensitivity to phenothiazines based on the presence of codon 600 BRAF mutation may be unique to melanomas, as we do not observe it in a panel of colorectal cancers. The findings reported here have potential implications for the use of phenothiazines in the treatment of V600E BRAF mutant melanoma.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18524847      PMCID: PMC2705835          DOI: 10.1158/1535-7163.MCT-07-2308

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  44 in total

1.  Chemosensitivity prediction by transcriptional profiling.

Authors:  J E Staunton; D K Slonim; H A Coller; P Tamayo; M J Angelo; J Park; U Scherf; J K Lee; W O Reinhold; J N Weinstein; J P Mesirov; E S Lander; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

2.  DNA-dependent protein kinase is inhibited by trifluoperazine.

Authors:  A Eriksson; J Yachnin; R Lewensohn; A Nilsson; A Nilsso
Journal:  Biochem Biophys Res Commun       Date:  2001-05-18       Impact factor: 3.575

3.  Mechanism of activation of the RAF-ERK signaling pathway by oncogenic mutations of B-RAF.

Authors:  Paul T C Wan; Mathew J Garnett; S Mark Roe; Sharlene Lee; Dan Niculescu-Duvaz; Valerie M Good; C Michael Jones; Christopher J Marshall; Caroline J Springer; David Barford; Richard Marais
Journal:  Cell       Date:  2004-03-19       Impact factor: 41.582

4.  Systematic variation in gene expression patterns in human cancer cell lines.

Authors:  D T Ross; U Scherf; M B Eisen; C M Perou; C Rees; P Spellman; V Iyer; S S Jeffrey; M Van de Rijn; M Waltham; A Pergamenschikov; J C Lee; D Lashkari; D Shalon; T G Myers; J N Weinstein; D Botstein; P O Brown
Journal:  Nat Genet       Date:  2000-03       Impact factor: 38.330

5.  Predicting drug sensitivity and resistance: profiling ABC transporter genes in cancer cells.

Authors:  Gergely Szakács; Jean-Philippe Annereau; Samir Lababidi; Uma Shankavaram; Angela Arciello; Kimberly J Bussey; William Reinhold; Yanping Guo; Gary D Kruh; Mark Reimers; John N Weinstein; Michael M Gottesman
Journal:  Cancer Cell       Date:  2004-08       Impact factor: 31.743

6.  PTEN activation contributes to tumor inhibition by trastuzumab, and loss of PTEN predicts trastuzumab resistance in patients.

Authors:  Yoichi Nagata; Keng-Hsueh Lan; Xiaoyan Zhou; Ming Tan; Francisco J Esteva; Aysegul A Sahin; Kristine S Klos; Ping Li; Brett P Monia; Nina T Nguyen; Gabriel N Hortobagyi; Mien-Chie Hung; Dihua Yu
Journal:  Cancer Cell       Date:  2004-08       Impact factor: 31.743

7.  EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy.

Authors:  J Guillermo Paez; Pasi A Jänne; Jeffrey C Lee; Sean Tracy; Heidi Greulich; Stacey Gabriel; Paula Herman; Frederic J Kaye; Neal Lindeman; Titus J Boggon; Katsuhiko Naoki; Hidefumi Sasaki; Yoshitaka Fujii; Michael J Eck; William R Sellers; Bruce E Johnson; Matthew Meyerson
Journal:  Science       Date:  2004-04-29       Impact factor: 47.728

8.  Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib.

Authors:  Thomas J Lynch; Daphne W Bell; Raffaella Sordella; Sarada Gurubhagavatula; Ross A Okimoto; Brian W Brannigan; Patricia L Harris; Sara M Haserlat; Jeffrey G Supko; Frank G Haluska; David N Louis; David C Christiani; Jeff Settleman; Daniel A Haber
Journal:  N Engl J Med       Date:  2004-04-29       Impact factor: 91.245

9.  Resistance to Imatinib Mesylate-induced apoptosis in acute lymphoblastic leukemia is associated with PTEN down-regulation due to promoter hypermethylation.

Authors:  Cristina Montiel-Duarte; Lucia Cordeu; Xabier Agirre; José Román-Gómez; Antonio Jiménez-Velasco; Edurne San José-Eneriz; Leire Gárate; Enrique J Andreu; Maria José Calasanz; Anabel Heiniger; Antonio Torres; Felipe Prósper
Journal:  Leuk Res       Date:  2007-10-17       Impact factor: 3.156

10.  Update on NCI in vitro drug screen utilities.

Authors:  S L Holbeck
Journal:  Eur J Cancer       Date:  2004-04       Impact factor: 9.162

View more
  7 in total

Review 1.  In vitro human cell line models to predict clinical response to anticancer drugs.

Authors:  Nifang Niu; Liewei Wang
Journal:  Pharmacogenomics       Date:  2015       Impact factor: 2.533

2.  DNA fingerprinting of the NCI-60 cell line panel.

Authors:  Philip L Lorenzi; William C Reinhold; Sudhir Varma; Amy A Hutchinson; Yves Pommier; Stephen J Chanock; John N Weinstein
Journal:  Mol Cancer Ther       Date:  2009-04       Impact factor: 6.261

3.  Functional genomics based on germline genome-wide association studies of endocrine therapy for breast cancer.

Authors:  Jacqueline Zayas; Sisi Qin; Jia Yu; James N Ingle; Liewei Wang
Journal:  Pharmacogenomics       Date:  2020-06-16       Impact factor: 2.533

4.  Somatic mutation patterns and compound response in cancers.

Authors:  Ningning He; Nayoung Kim; Sukjoon Yoon
Journal:  BMB Rep       Date:  2013-02       Impact factor: 4.778

5.  The anti-melanoma activity of dinaciclib, a cyclin-dependent kinase inhibitor, is dependent on p53 signaling.

Authors:  Brijal M Desai; Jessie Villanueva; Thierry-Thien K Nguyen; Mercedes Lioni; Min Xiao; Jun Kong; Clemens Krepler; Adina Vultur; Keith T Flaherty; Katherine L Nathanson; Keiran S M Smalley; Meenhard Herlyn
Journal:  PLoS One       Date:  2013-03-18       Impact factor: 3.240

6.  Matching cell lines with cancer type and subtype of origin via mutational, epigenomic, and transcriptomic patterns.

Authors:  Marina Salvadores; Francisco Fuster-Tormo; Fran Supek
Journal:  Sci Adv       Date:  2020-07-01       Impact factor: 14.136

7.  Deregulation of Trace Amine-Associated Receptors (TAAR) Expression and Signaling Mode in Melanoma.

Authors:  Anastasia N Vaganova; Savelii R Kuvarzin; Anastasia M Sycheva; Raul R Gainetdinov
Journal:  Biomolecules       Date:  2022-01-11
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.