Evidence map›Paper›PMID 20532728›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2010

AFP computational secreted network construction and analysis between human hepatocellular carcinoma (HCC) and no-tumor hepatitis/cirrhotic liver tissues.

Lin Wang, Juxiang Huang, Minghu Jiang, Xiguang Zheng

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Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 41 citations in OpenAlex.

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  4. Classification of Widely and Rarely Expressed Genes with Recurrent Neural Network.Computational and structural biotechnology journal · 2019
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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

4 authors at 3 institutions in 2 countries.

Lin WangBiomedical Center, School of Electronics Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China. wanglin98@tsinghua.org.cn
Juxiang Huang
Minghu Jiang
Xiguang Zheng
Beijing University of Posts and Telecommunications · CNTsinghua University · CNUniversity of Wollongong · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alpha-fetoprotein (AFP) computational secreted network construction and analysis of human hepatocellular carcinoma (HCC) is very useful to identify novel markers and potential targets for prognosis and therapy. By integration of gene regulatory network infer and the database for annotation, visualization, and integrated discovery, we identified and constructed significant molecule AFP secreted network from 25 no-tumor hepatitis/cirrhotic liver tissues and 25 HCC patients in the same GEO Dataset GSE10140-10141. Our result verified AFP secreted module in the upstream of no-tumor hepatitis/cirrhotic liver tissues (AMELY, LCN2, and REG3A activation; DKK1, SFRP4, and SPINK1 inhibition) and its downstream (PRSS1, REG3A, and TSHB activation; AMELY and DKK1 inhibition), and also in the upstream of HCC (LCN2, REG3A, and SFRP4 activation; AMELY and DKK1 inhibition) and its downstream (AMELY activation; DKK1, LCN2, PRSS1, SEMA3B, and SPINK1 inhibition). Importantly, we data-mined that AFP secreted cluster of HCC is involved in disease mutation (only in HCC terms) without cell surface receptor linked signal transduction, neuroactive ligand-receptor interaction, cell-cell signaling, and pancreas (only in no-tumor hepatitis/cirrhotic liver tissues terms), the condition which is vital to invasion of HCC. Our result demonstrated that common terms in both no-tumor hepatitis/cirrhotic liver tissues and HCC include secreted extracellular region, extracellular region part, extracellular space, signal peptide, signal, disulfide bond, glycosylation site N-linked (GlcNAc...), and glycoprotein, and these terms are less relative to invasion; therefore, we deduced the weaker AFP secreted network in HCC consistent with our number computation. We predicted AFP high expression localization within cells of HCC and without secretion to extracellular matrix. It would be necessary of AFP secreted function to decrease invasion of HCC.

Indexed as

Gene Regulatory NetworksAlgorithmsalpha-FetoproteinsCarcinoma, HepatocellularCluster AnalysisHepatitisHumansLiver CirrhosisLiver NeoplasmsOligonucleotide Array Sequence AnalysisPancreatitis-Associated Proteinsalpha-FetoproteinsPancreatitis-Associated ProteinsREG3A protein, human

Identifiers

PMID20532728
OpenAlexW1996594421

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.