Evidence map›Paper›PMID 23397142›Full record

ArticleMolecular & cellular proteomics : MCP2013

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

Chia-Hung Liu, 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 and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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  7. Overexpression of CrkL as a novel biomarker for poor prognosis in gastric cancer.Cancer biomarkers : section A of Disease markers · 2019
    Article
  8. Review
  9. Article
  10. The long noncoding RNAThe Journal of biological chemistry · 2017
    Article
  11. Article
  12. Article
  13. Multi-omic approaches for characterization of hepatocellular carcinoma.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2016
    Article
  14. Article
  15. Article
  16. Article
  17. The association of Crk-like adapter protein with poor prognosis in glioma patients.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 10 institutions in 2 countries.

Chia-Hung LiuGraduate Institute of Biomedical Electronic and Bioinformatics, National Taiwan University, Taipei 106, Taiwan.
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
National Yang Ming Chiao Tung University · TWGenomics Research Center, Academia Sinica · TWNational Cheng Kung University · TWNational Taiwan University · TWInstitute of Information Science, Academia Sinica · TWInstitute of Statistical Science, Academia Sinica · TWNational Yang Ming Chiao Tung University · TWNational Yang Ming University Hospital · TWTaipei Veterans General Hospital · TWTzu Chi University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Protein Interaction MapsAdaptor Proteins, Signal TransducingAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, HepatocellularDisease-Free SurvivalHEK293 CellsHep G2 CellsHumansKaplan-Meier EstimateLiver NeoplasmsMiddle AgedNuclear ProteinsPrognosisAdaptor Proteins, Signal TransducingBiomarkers, TumorCRKL proteinFLT1 protein, humanNuclear ProteinsVascular Endothelial Growth Factor Receptor-1

Identifiers

PMID23397142
PMCPMC3650343
OpenAlexW2148014571

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.