Evidence map›Paper›PMID 32212818›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2020

Epithelial Cell Adhesion Molecule mRNA Can be a Potential Marker to Predict Metastasis in Hepatocellular Carcinoma Patients.

Iman A Abdelgawad

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Iman A AbdelgawadDepartment of Clinical Pathology, NCI, Cairo University, Cairo, Egypt.
Cairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEpithelial cell adhesion molecule [EpCAM] is a surface marker of cancer stem cells that can maintain the capacity for malignant proliferation, invasion, metastasis, and tumor recurrence; hence its detection among hepatocellular carcinoma [HCC] patients may be an important prognostic factor. The aim of this study was to detect EpCAM mRNA expression in the whole blood of HCC patients and normal control subjects to elucidate its clinico-pathological significance among patients with HCC.

methodsThis study was conducted on 74 newly diagnosed HCC patients and forty normal control subjects. Both groups were subjected to the detection of EpCAM mRNA in the whole blood using reverse transcriptase polymerase chain reaction [RT- PCR] technique. EpCAM expression was compared with some of the established prognostic factors of HCC.

resultsEpCAM was detected in 17.5% of the HCC cases and was not expressed in any of the normal control subjects. EpCAM positive cases showed higher serum levels of alpha- feto protein [AFP] and carcinoembryonic antigen [CEA]. Prevalence of EpCAM positivity gave significant results with distant metastasis, lymph node metastasis, and portal vein thrombosis.

conclusionEpCAM proved high specificity among HCC patients and its expression was associated with metastasis and portal vein thrombosis. Higher serum levels of CEA among the EpCAM positive patients may attract the attention to a subgroup of HCC patients who are more liable to develop metastasis.<br />.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, HepatocellularEpithelial Cell Adhesion MoleculeFemaleHumansLiver NeoplasmsMaleMiddle AgedNeoplasm MetastasisRNA, MessengerBiomarkers, TumorEPCAM protein, humanEpithelial Cell Adhesion MoleculeRNA, MessengerEpCAMHCCMetastasisRT-PCR

Identifiers

PMID32212818
PMCPMC7437321
OpenAlexW3013653345

What OpenQuestion holds

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LicenceCC BY
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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.