Literature DB >> 25404012

Identifying novel targets of oncogenic EGF receptor signaling in lung cancer through global phosphoproteomics.

Xu Zhang1, Natalya Belkina, Harrys Kishore Charles Jacob, Tapan Maity, Romi Biswas, Abhilash Venugopalan, Patrick G Shaw, Min-Sik Kim, Raghothama Chaerkady, Akhilesh Pandey, Udayan Guha.   

Abstract

Mutations in the epidermal growth factor receptor (EGFR) kinase domain occur in 10-30% of lung adenocarcinoma and are associated with tyrosine kinase inhibitor (TKI) sensitivity. We sought to identify the immediate direct and indirect phosphorylation targets of mutant EGFRs in lung adenocarcinoma. We undertook SILAC strategy, phosphopeptide enrichment, and quantitative MS to identify dynamic changes of phosphorylation downstream of mutant EGFRs in lung adenocarcinoma cells harboring EGFR(L858R) and EGFR(L858R/T790M) , the TKI-sensitive, and TKI-resistant mutations, respectively. Top canonical pathways that were inhibited upon erlotinib treatment in sensitive cells, but not in the resistant cells include EGFR, insulin receptor, hepatocyte growth factor, mitogen-activated protein kinase, mechanistic target of rapamycin, ribosomal protein S6 kinase beta 1, and Janus kinase/signal transducer and activator of transcription signaling. We identified phosphosites in proteins of the autophagy network, such as ULK1 (S623) that is constitutively phosphorylated in these lung adenocarcinoma cells; phosphorylation is inhibited upon erlotinib treatment in sensitive cells, but not in resistant cells. Finally, kinase-substrate prediction analysis from our data indicated that substrates of basophilic kinases from, AGC and Calcium and calmodulin-dependent kinase groups, as well as STE group kinases were significantly enriched and those of proline-directed kinases from, CMGC and Casein kinase groups were significantly depleted among substrates that exhibited increased phosphorylation upon EGF stimulation and reduced phosphorylation upon TKI inhibition. This is the first study to date to examine global phosphorylation changes upon erlotinib treatment of lung adenocarcinoma cells and results from this study provide new insights into signaling downstream of mutant EGFRs in lung adenocarcinoma. All MS data have been deposited in the ProteomeXchange with identifier PXD001101 (http://proteomecentral.proteomexchange.org/dataset/PXD001101).
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Autophagy; EGFR; Erlotinib; Mass spectrometry; NSCLC; Phosphoproteomics; SILAC

Mesh:

Substances:

Year:  2015        PMID: 25404012      PMCID: PMC6461560          DOI: 10.1002/pmic.201400315

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  20 in total

1.  iPTMnet: an integrated resource for protein post-translational modification network discovery.

Authors:  Hongzhan Huang; Cecilia N Arighi; Karen E Ross; Jia Ren; Gang Li; Sheng-Chih Chen; Qinghua Wang; Julie Cowart; K Vijay-Shanker; Cathy H Wu
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

2.  Therapeutic Effects of XPO1 Inhibition in Thymic Epithelial Tumors.

Authors:  Fabio Conforti; Xu Zhang; Guanhua Rao; Tommaso De Pas; Yoko Yonemori; Jose Antonio Rodriguez; Justine N McCutcheon; Raneen Rahhal; Anna T Alberobello; Yisong Wang; Yu-Wen Zhang; Udayan Guha; Giuseppe Giaccone
Journal:  Cancer Res       Date:  2017-08-17       Impact factor: 12.701

3.  Quantitative Tyrosine Phosphoproteomics of Epidermal Growth Factor Receptor (EGFR) Tyrosine Kinase Inhibitor-treated Lung Adenocarcinoma Cells Reveals Potential Novel Biomarkers of Therapeutic Response.

Authors:  Xu Zhang; Tapan Maity; Manoj K Kashyap; Mukesh Bansal; Abhilash Venugopalan; Sahib Singh; Shivangi Awasthi; Arivusudar Marimuthu; Harrys Kishore Charles Jacob; Natalya Belkina; Stephanie Pitts; Constance M Cultraro; Shaojian Gao; Guldal Kirkali; Romi Biswas; Raghothama Chaerkady; Andrea Califano; Akhilesh Pandey; Udayan Guha
Journal:  Mol Cell Proteomics       Date:  2017-03-22       Impact factor: 5.911

4.  Dysregulation of splicing proteins in head and neck squamous cell carcinoma.

Authors:  Aneesha Radhakrishnan; Vishalakshi Nanjappa; Remya Raja; Gajanan Sathe; Sandip Chavan; Raja Sekhar Nirujogi; Arun H Patil; Hitendra Solanki; Santosh Renuse; Nandini A Sahasrabuddhe; Premendu P Mathur; T S Keshava Prasad; Prashant Kumar; Joseph A Califano; David Sidransky; Akhilesh Pandey; Harsha Gowda; Aditi Chatterjee
Journal:  Cancer Biol Ther       Date:  2016-02-06       Impact factor: 4.742

5.  Quantitative targeted proteomic analysis of potential markers of tyrosine kinase inhibitor (TKI) sensitivity in EGFR mutated lung adenocarcinoma.

Authors:  Shivangi Awasthi; Tapan Maity; Benjamin L Oyler; Yue Qi; Xu Zhang; David R Goodlett; Udayan Guha
Journal:  J Proteomics       Date:  2018-04-13       Impact factor: 4.044

Review 6.  The current state of the art of quantitative phosphoproteomics and its applications to diabetes research.

Authors:  Chi Yuet X'avia Chan; Marina A Gritsenko; Richard D Smith; Wei-Jun Qian
Journal:  Expert Rev Proteomics       Date:  2016       Impact factor: 3.940

7.  The expression of SALL4 is significantly associated with EGFR, but not KRAS or EML4-ALK mutations in lung cancer.

Authors:  Xiangbo Jia; Rulin Qian; Binbin Zhang; Song Zhao
Journal:  J Thorac Dis       Date:  2016-10       Impact factor: 2.895

Review 8.  iPTMnet RESTful API for Post-translational Modification Network Analysis.

Authors:  Sachin Gavali; Karen E Ross; Julie Cowart; Chuming Chen; Cathy H Wu
Journal:  Methods Mol Biol       Date:  2022

9.  Alterations in the Global Proteome and Phosphoproteome in Third Generation EGFR TKI Resistance Reveal Drug Targets to Circumvent Resistance.

Authors:  Xu Zhang; Tapan K Maity; Karen E Ross; Yue Qi; Constance M Cultraro; Meriam Bahta; Stephanie Pitts; Meghana Keswani; Shaojian Gao; Khoa Dang P Nguyen; Julie Cowart; Fatos Kirkali; Cathy Wu; Udayan Guha
Journal:  Cancer Res       Date:  2021-03-16       Impact factor: 13.312

10.  Using activation status of signaling pathways as mechanism-based biomarkers to predict drug sensitivity.

Authors:  Alicia Amadoz; Patricia Sebastian-Leon; Enrique Vidal; Francisco Salavert; Joaquin Dopazo
Journal:  Sci Rep       Date:  2015-12-18       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.