Evidence map›Paper›PMID 21786013›Full record

ArticleMedical oncology (Northwood, London, England)2012

A preliminary study on the expression of tumor-associated glycoprotein-72 in human gliomas.

Dongchun Wang, Yan Zhang, Xiaoli Li, Jianzhong Cui, Shuo Wang

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 48% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 1 country.

Dongchun WangTangshan Worker Hospital, Tangshan, 063000 Hebei, China.
Yan Zhang
Xiaoli Li
Jianzhong Cui
Shuo Wang
Tangshan People's Hospital · CNAffiliated Hospital of Jiangsu University · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor-associated glycoprotein-72 (TAG-72) is a high molecular weight tumor-associated glycoprotein, which is known to be overexpressed in various human tumors, but its expression in glioma tissues is unknown. Therefore, the aim of this study was to investigate whether TAG-72 is present in glioma and to evaluate the correlation between TAG-72 expression and the severity of the malignancy of this tumor. Immunohistochemistry and Western blot were used to investigate the expression of TAG-72 protein, respectively, in 152 patients with gliomas. There were 90 men and 62 women (mean age 50.6 ± 11.8 years). Astrocytoma was found in 130 patients and glioblastoma in 22. No TAG-72 expression was found in the non-cancerous brain tissues. TAG-72 protein expression was identified in 80 patients with glioma (52.6%). The expression level of TAG-72 protein was increased from gliomas with low grades to those with high grades. The highest mean value of TAG-72 protein was found in patients with glioblastoma (P < 0.01), whereas the lowest mean values were found in those with grade I astrocytoma (P < 0.01). Our results provide convincing evidence for the first time that the expression of TAG-72 is up-regulated in human gliomas. The expression levels of TAG-72 in gliomas were associated with the severity of the tumor. Whether positive TAG-72 protein expression can be used as a predictor for prognosis of the patients or as a therapeutic target for glioma requires further investigation.

Indexed as

AdolescentAdultAgedAntigens, NeoplasmBiomarkers, TumorBlotting, WesternBrain NeoplasmsFemaleGliomaGlycoproteinsHumansImmunohistochemistryMaleMiddle AgedNeoplasm GradingYoung AdultAntigens, NeoplasmBiomarkers, TumorGlycoproteinstumor-associated antigen 72

Identifiers

PMID21786013
OpenAlexW2001264908

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.