Evidence map›Paper›PMID 18214716›Full record

ArticleMedical oncology (Northwood, London, England)2008

Expression and clinical significance of NET-1 and PCNA in hepatocellular carcinoma.

Shi-Qiang Shen, Kun Li, Neng Zhu, Akimasa Nakao

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

24 citing papers in PubMed, 38 citations in OpenAlex.

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  15. The RhoGEF Net1 is required for normal mammary gland development.Molecular endocrinology (Baltimore, Md.) · 2014
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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.

Shi-Qiang ShenDepartment of General Surgery, Renmin Hospital of Wuhan University, 430060 Wuhan, Hubei Province, China. ssqlk@yahoo.cn
Kun Li
Neng Zhu
Akimasa Nakao
Renmin Hospital of Wuhan University · CNNagoya University · JPWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveObjective of this study was to detect the expression of neuroepithelial transforming gene-1 (NET-1) and proliferating cell nuclear antigen (PCNA) in hepatocellular carcinoma (HCC) and adjacent tissues, and to investigate the relation of the expression of NET-1 in HCC tissue with cancer proliferation, metastasis and clinic stages.

methodsThe expression of NET-1 mRNA was detected by reverse transcription-polymerase chain reaction method in 34 human HCC tissues, and it was matched with 34 paracarcinoma tissues. The expression of PCNA in HCC was analyzed by immunohistochemistry. Meanwhile, the relation of the expression with clinic pathological features of HCC was evaluated, and the correlation between the expression of NET-1 and PCNA in HCC was investigated.

resultsExpression of NET-1 was significantly higher in HCC than that in matched paracarcinoma tissues. The expression of NET-1 was significantly higher in TMN III-IV HCC tissues when compared with TMN I-II HCC tissues (P<0.05). The expression level of NET-1 in HCC tissues was related to intrahepatic metastasis and portal vein infiltration. The expression of NET-1 in HCC tissues was positively correlated with PCNA.

conclusionsThe expression of NET-1 may relate to proliferation, metastasis and clinic stages of HCC. The expression of NET-1 in HCC tissues may positively correlate to the TMN stages.

Indexed as

AdultAgedCarcinoma, HepatocellularFemaleGene ExpressionHumansImmunohistochemistryLiver NeoplasmsMaleMiddle AgedMultivariate AnalysisNeoplasm StagingOncogene ProteinsProliferating Cell Nuclear AntigenReverse Transcriptase Polymerase Chain ReactionNET1 protein, humanOncogene ProteinsProliferating Cell Nuclear Antigen

Identifiers

PMID18214716
OpenAlexW1989680815

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.