Evidence map›Paper›PMID 33033464›Full record

ArticleJournal of carcinogenesis2020

Prediction of metastasis in oral squamous cell carcinoma through phenotypic evaluation and gene expression of E-cadherin, β-catenin, matrix metalloproteinase-2, and matrix metalloproteinase-9 biomarkers with clinical correlation.

S V Sowmya, Roopa S Rao, Kavitha Prasad

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Article in Journal of carcinogenesis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
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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

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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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

3 authors.

S V SowmyaDepartment of Oral Pathology and Microbiology, Faculty of Dental Sciences, MS Ramaiah University of Applied Sciences, Bengaluru, Karnataka, India.
Roopa S RaoDepartment of Oral Pathology and Microbiology, Faculty of Dental Sciences, MS Ramaiah University of Applied Sciences, Bengaluru, Karnataka, India.
Kavitha PrasadDepartment of Oral and Maxillofacial Surgery, Faculty of Dental Sciences, MS Ramaiah University of Applied Sciences, Bengaluru, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextControversies prevail regarding the true predictive role of epithelial-mesenchymal transition (EMT) biomarkers in metastasis of oral squamous cell carcinoma (OSCC). There is also limited research carried on till date wherein the protein and gene expression of EMT biomarkers have been investigated simultaneously in the Indian population.

aimThe aim of this study was to assess the gene expression and quantitative protein expression of EMT biomarkers using conventional method and MATLAB software and to determine if there is any difference in the expression between metastatic and nonmetastatic OSCCs with clinicopathologic correlation. SETTINGS AND

designTwenty metastatic and nonmetastatic OSCC tissue sections each were obtained from department archives. Gene expression and quantified protein expression of EMT markers were done and correlated with clinical parameters. SUBJECTS AND

methodsSections immunostained for EMT biomarkers were evaluated using semi-quantitative and quantitative (MATLAB) methods. Gene expression using semi-quantitative reverse transcriptase-polymerase chain reaction was done. These findings were correlated with clinical parameters. STATISTICAL ANALYSIS USED: Pearson's Chi-square test, Student's

resultsThe low immunoexpression of E-cadherin and β-catenin and the high expression of matrix metalloproteinase (MMP)-2 and MMP-9 correlate with Stages III and IV showing high metastatic risk. Furthermore, the upregulated MMP-2 and MMP-9 gene expressions in advanced clinical stages of OSCC have high metastatic potential.

conclusionsThis study is the first of its kind to employ texture and color segmentation in MATLAB to objectively assess the protein expression of EMT biomarkers. This research is instrumental in studying the protein and gene expressions of EMT markers with clinical correlation.

Indexed as

Epithelial–mesenchymal transitionimmunohistochemistryMATLABmetastasisoral squamous cell carcinomareverse transcriptase–polymerase chain reaction

Identifiers

PMID33033464
PMCPMC7511891

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