Literature DB >> 19228718

Mutations and response to epidermal growth factor receptor inhibitors.

Pierre Laurent-Puig1, Astrid Lievre, Hélène Blons.   

Abstract

Novel therapeutic agents targeting the epidermal growth factor receptor (EGFR) have improved outcomes for a subgroup of patients with colorectal, lung, head and neck, and pancreatic cancers. In these tumors, the EGFR activation turns on at least five different signaling pathways (RAS/mitogen-activated protein kinase, phospholipase C, phosphatidylinositol 3-kinase/AKT, signal transducer and activator of transcription, and SRC/FAK pathways), which are intimately interconnected, and frequent mutations involving either the receptor itself or downstream effectors have been found. Up to now, it seems that alterations at the EGFR level has major importance in EGFR tyrosine kinase inhibitor response, whereas modifications of downstream effectors could lead to treatment resistance. Furthermore, our understanding of the mechanism of the EGFR network activation provides new hypotheses on potential new anticancer drugs that may be effective.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19228718     DOI: 10.1158/1078-0432.CCR-08-0905

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  54 in total

1.  Pgrmc1 (progesterone receptor membrane component 1) associates with epidermal growth factor receptor and regulates erlotinib sensitivity.

Authors:  Ikhlas S Ahmed; Hannah J Rohe; Katherine E Twist; Rolf J Craven
Journal:  J Biol Chem       Date:  2010-06-10       Impact factor: 5.157

Review 2.  [Malignancy potential of precursor lesions: determination using molecular markers].

Authors:  A Jung
Journal:  Pathologe       Date:  2011-11       Impact factor: 1.011

3.  EGFR- and AKT-mediated reduction in PTEN expression contributes to tyrphostin resistance and is reversed by mTOR inhibition in endometrial cancer cells.

Authors:  Tian Li; Yuebo Yang; Xiaomao Li; Chengfang Xu; Lirong Meng
Journal:  Mol Cell Biochem       Date:  2011-09-28       Impact factor: 3.396

Review 4.  Cancer stem cells and their mechanism of chemo-radiation resistance.

Authors:  Yonghyun Kim; Kyeung Min Joo; Juyoun Jin; Do-Hyun Nam
Journal:  Int J Stem Cells       Date:  2009-05       Impact factor: 2.500

Review 5.  Pathogenesis of pancreatic cancer: lessons from animal models.

Authors:  L Charles Murtaugh
Journal:  Toxicol Pathol       Date:  2013-10-31       Impact factor: 1.902

6.  Survivin mRNA expression in blood as a predictor of the response to EGFR-tyrosine kinase inhibitors and prognosis in patients with non-small cell lung cancer.

Authors:  Wei-Lin Shi; Jian Li; Quan-Lei Bao; Jian-Nong Wu; Li-Ping Ge; Li-Rong Zhu; Yi Wang; Wen-Fang Zhu
Journal:  Med Oncol       Date:  2014-02-23       Impact factor: 3.064

7.  Receptor tyrosine kinases exert dominant control over PI3K signaling in human KRAS mutant colorectal cancers.

Authors:  Hiromichi Ebi; Ryan B Corcoran; Anurag Singh; Zhao Chen; Youngchul Song; Eugene Lifshits; David P Ryan; Jeffrey A Meyerhardt; Cyril Benes; Jeffrey Settleman; Kwok-Kin Wong; Lewis C Cantley; Jeffrey A Engelman
Journal:  J Clin Invest       Date:  2011-10-10       Impact factor: 14.808

8.  Profiling cancer testis antigens in non-small-cell lung cancer.

Authors:  Dijana Djureinovic; Björn M Hallström; Masafumi Horie; Johanna Sofia Margareta Mattsson; Linnea La Fleur; Linn Fagerberg; Hans Brunnström; Cecilia Lindskog; Katrin Madjar; Jörg Rahnenführer; Simon Ekman; Elisabeth Ståhle; Hirsh Koyi; Eva Brandén; Karolina Edlund; Jan G Hengstler; Mats Lambe; Akira Saito; Johan Botling; Fredrik Pontén; Mathias Uhlén; Patrick Micke
Journal:  JCI Insight       Date:  2016-07-07

9.  Evaluation of phosphatidylinositol-3-kinase catalytic subunit (PIK3CA) and epidermal growth factor receptor (EGFR) gene mutations in pancreaticobiliary adenocarcinoma.

Authors:  Guy A Weiss; Michael R Rossi; Nikhil I Khushalani; Ken Lo; John F Gibbs; Anubha Bharthuar; John K Cowell; Renuka Iyer
Journal:  J Gastrointest Oncol       Date:  2013-03

10.  An algorithm for classifying tumors based on genomic aberrations and selecting representative tumor models.

Authors:  Xin Lu; Ke Zhang; Charles Van Sant; John Coon; Dimitri Semizarov
Journal:  BMC Med Genomics       Date:  2010-06-22       Impact factor: 3.063

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.