Literature DB >> 23397142

Analysis of protein-protein interactions in cross-talk pathways reveals CRKL protein as a novel prognostic marker in hepatocellular carcinoma.

Chia-Hung Liu1, Tzu-Chi Chen, Gar-Yang Chau, Yi-Hua Jan, Chun-Houh Chen, Chun-Nan Hsu, Kuan-Ting Lin, Yue-Li Juang, Pei-Jung Lu, Hui-Chuan Cheng, Ming-Huang Chen, Chia-Fen Chang, Yu-Shan Ting, Cheng-Yan Kao, Michael Hsiao, Chi-Ying F Huang.   

Abstract

Deciphering the network of signaling pathways in cancer via protein-protein interactions (PPIs) at the cellular level is a promising approach but remains incomplete. We used an in situ proximity ligation assay to identify and quantify 67 endogenous PPIs among 21 interlinked pathways in two hepatocellular carcinoma (HCC) cells, Huh7 (minimally migratory cells) and Mahlavu (highly migratory cells). We then applied a differential network biology analysis and determined that the novel interaction, CRKL-FLT1, has a high centrality ranking, and the expression of this interaction is strongly correlated with the migratory ability of HCC and other cancer cell lines. Knockdown of CRKL and FLT1 in HCC cells leads to a decrease in cell migration via ERK signaling and the epithelial-mesenchymal transition process. Our immunohistochemical analysis shows high expression levels of the CRKL and CRKL-FLT1 pair that strongly correlate with reduced disease-free and overall survival in HCC patient samples, and a multivariate analysis further established CRKL and the CRKL-FLT1 as novel prognosis markers. This study demonstrated that functional exploration of a disease network with interlinked pathways via PPIs can be used to discover novel biomarkers.

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Year:  2013        PMID: 23397142      PMCID: PMC3650343          DOI: 10.1074/mcp.O112.020404

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  42 in total

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3.  The process of macrophage migration promotes matrix metalloproteinase-independent invasion by tumor cells.

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Journal:  J Immunol       Date:  2011-08-31       Impact factor: 5.422

4.  New strategies in hepatocellular carcinoma: genomic prognostic markers.

Authors:  Augusto Villanueva; Yujin Hoshida; Sara Toffanin; Anja Lachenmayer; Clara Alsinet; Radoslav Savic; Helena Cornella; Josep M Llovet
Journal:  Clin Cancer Res       Date:  2010-08-16       Impact factor: 12.531

5.  Direct observation of individual endogenous protein complexes in situ by proximity ligation.

Authors:  Ola Söderberg; Mats Gullberg; Malin Jarvius; Karin Ridderstråle; Karl-Johan Leuchowius; Jonas Jarvius; Kenneth Wester; Per Hydbring; Fuad Bahram; Lars-Gunnar Larsson; Ulf Landegren
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Review 6.  Targeted cancer therapy.

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Journal:  Nature       Date:  2004-11-18       Impact factor: 49.962

7.  COT drives resistance to RAF inhibition through MAP kinase pathway reactivation.

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8.  Gene expression-based chemical genomics identifies potential therapeutic drugs in hepatocellular carcinoma.

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Journal:  PLoS One       Date:  2011-11-07       Impact factor: 3.240

9.  Genomic and functional analysis identifies CRKL as an oncogene amplified in lung cancer.

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10.  PIPs: human protein-protein interaction prediction database.

Authors:  Mark D McDowall; Michelle S Scott; Geoffrey J Barton
Journal:  Nucleic Acids Res       Date:  2008-11-06       Impact factor: 16.971

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  14 in total

1.  Multi-omic approaches for characterization of hepatocellular carcinoma.

Authors:  Habtom W Ressom; Cristina Di Poto; Alessia Ferrarini; Mohammad R Nezami Ranjbar; Rency S Varghese; Mahlet G Tadesse; Yehia Mechref
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

2.  Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma.

Authors:  Dokyoon Kim; Ruowang Li; Anastasia Lucas; Shefali S Verma; Scott M Dudek; Marylyn D Ritchie
Journal:  J Am Med Inform Assoc       Date:  2017-05-01       Impact factor: 4.497

3.  The association of Crk-like adapter protein with poor prognosis in glioma patients.

Authors:  Chengjun Yao; Shunzeng Lv; Mingzhi Han; Jie Zhang; Ya Zhang; Li Zhang; Ruiyang Yi; Dongxiao Zhuang; Jinsong Wu
Journal:  Tumour Biol       Date:  2014-02-22

4.  Visualization of Protein-protein Interaction in Nuclear and Cytoplasmic Fractions by Co-immunoprecipitation and In Situ Proximity Ligation Assay.

Authors:  Xinzhou Zhu; Andrea Zelmer; Sven Wellmann
Journal:  J Vis Exp       Date:  2017-01-16       Impact factor: 1.355

5.  The long noncoding RNA PCAT-1 links the microRNA miR-215 to oncogene CRKL-mediated signaling in hepatocellular carcinoma.

Authors:  Yanli Ren; Jinhua Shang; Jinliang Li; Wenjuan Liu; Zhao Zhang; Jupeng Yuan; Ming Yang
Journal:  J Biol Chem       Date:  2017-09-08       Impact factor: 5.157

Review 6.  The Methods Employed in Mass Spectrometric Analysis of Posttranslational Modifications (PTMs) and Protein-Protein Interactions (PPIs).

Authors:  Rama R Yakubu; Edward Nieves; Louis M Weiss
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 2.622

7.  CRKL oncogene is downregulated by p53 through miR-200s.

Authors:  Miyuki Tamura; Yasushi Sasaki; Kenta Kobashi; Kousuke Takeda; Takafumi Nakagaki; Masashi Idogawa; Takashi Tokino
Journal:  Cancer Sci       Date:  2015-07-14       Impact factor: 6.716

8.  Integrative analysis of high-throughput RNAi screen data identifies the FER and CRKL tyrosine kinases as new regulators of the mitogenic ERK-dependent pathways in transformed cells.

Authors:  Philippe Nizard; Frédéric Ezan; Dominique Bonnier; Nolwenn Le Meur; Sophie Langouët; Georges Baffet; Yannick Arlot-Bonnemains; Nathalie Théret
Journal:  BMC Genomics       Date:  2014-12-23       Impact factor: 3.969

9.  Genomic mapping of pathways in endometrial adenocarcinoma and a gastrointestinal stromal tumor located in Meckel's diverticulum.

Authors:  Monika Englert-Golon; Bartlomiej Budny; Bartosz Burchardt; Elzbieta Wrotkowska; Katarzyna Ziemnicka; Marek Ruchała; Stefan Sajdak
Journal:  Oncol Lett       Date:  2015-12-04       Impact factor: 2.967

10.  Knowledge-driven genomic interactions: an application in ovarian cancer.

Authors:  Dokyoon Kim; Ruowang Li; Scott M Dudek; Alex T Frase; Sarah A Pendergrass; Marylyn D Ritchie
Journal:  BioData Min       Date:  2014-09-09       Impact factor: 2.522

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