Literature DB >> 24166508

A comparative survey of functional footprints of EGFR pathway mutations in human cancers.

A Lane1, A Segura-Cabrera1, K Komurov2.   

Abstract

Genes functioning in epidermal growth factor receptor (EGFR) signaling pathways are among the most frequently activated oncogenes in human cancers. We have conducted a comparative analysis of functional footprints (that is, effect on signaling and transcriptional landscapes in cells) associated with oncogenic and tumor suppressor mutations in EGFR pathway genes in human cancers. We have found that mutations in the EGFR pathway differentially have an impact on signaling and metabolic pathways in cancer cells in a mutation- and tissue-selective manner. For example, although signaling and metabolic profiles of breast tumors with PIK3CA or AKT1 mutations are, as expected, highly similar, they display markedly different, sometimes even opposite, profiles to those with ERBB2 or EGFR amplifications. On the other hand, although low-grade gliomas and glioblastomas, both brain cancers, driven by EGFR amplifications are highly functionally similar, their functional footprints are significantly different from lung and breast tumors driven by EGFR or ERBB2. Overall, these observations argue that, contrary to expectations, the mechanisms of tumorigenicity associated with mutations in different genes along the same pathway, or in the same gene across different tissues, may be highly different. We present evidence that oncogenic functional footprints in cancer cell lines have significantly diverged from those in tumor tissues, which potentially explains the discrepancy of our findings with the current knowledge. Nevertheless, our analyses reveal a common inflammatory response signature in EGFR-driven human cancers of different tissue origins. Our results may have implications in the design of therapeutic strategies in cancers driven by these oncogenes.

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Year:  2013        PMID: 24166508     DOI: 10.1038/onc.2013.452

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


  7 in total

1.  An integrated network platform for contextual prioritization of drugs and pathways.

Authors:  Aldo Segura-Cabrera; Navneet Singh; Kakajan Komurov
Journal:  Mol Biosyst       Date:  2015-11

2.  Impacts of somatic mutations on gene expression: an association perspective.

Authors:  Peilin Jia; Zhongming Zhao
Journal:  Brief Bioinform       Date:  2017-05-01       Impact factor: 11.622

3.  Analysis of genes involved in the PI3K/Akt pathway in radiation- and MNU-induced rat mammary carcinomas.

Authors:  Kaye Showler; Mayumi Nishimura; Kazuhiro Daino; Tatsuhiko Imaoka; Yukiko Nishimura; Takamitsu Morioka; Benjamin J Blyth; Toshiaki Kokubo; Masaru Takabatake; Maki Fukuda; Hitomi Moriyama; Shizuko Kakinuma; Masahiro Fukushi; Yoshiya Shimada
Journal:  J Radiat Res       Date:  2017-03-01       Impact factor: 2.724

4.  Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls.

Authors:  Hamid Behravan; Jaana M Hartikainen; Maria Tengström; Katri Pylkäs; Robert Winqvist; Veli-Matti Kosma; Arto Mannermaa
Journal:  Sci Rep       Date:  2018-09-03       Impact factor: 4.379

Review 5.  Mechanisms of Action of EGFR Tyrosine Kinase Receptor Incorporated in Extracellular Vesicles.

Authors:  Laura C Zanetti-Domingues; Scott E Bonner; Marisa L Martin-Fernandez; Veronica Huber
Journal:  Cells       Date:  2020-11-19       Impact factor: 6.600

Review 6.  Cooperation and Interplay between EGFR Signalling and Extracellular Vesicle Biogenesis in Cancer.

Authors:  Laura C Zanetti-Domingues; Scott E Bonner; R Sumanth Iyer; Marisa L Martin-Fernandez; Veronica Huber
Journal:  Cells       Date:  2020-12-08       Impact factor: 6.600

7.  The epidermal growth factor receptor (EGFR / HER-1) gatekeeper mutation T790M is present in European patients with early breast cancer.

Authors:  Vahid Bemanian; Torill Sauer; Joel Touma; Bjørn Arne Lindstedt; Ying Chen; Hilde Presterud Ødegård; Katja Marjaana Vetvik; Ida Rashida Bukholm; Jürgen Geisler
Journal:  PLoS One       Date:  2015-08-12       Impact factor: 3.240

  7 in total

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