Evidence map›Paper›PMID 19526317›Full record

ArticleJournal of molecular histology2009

p63 Immunoexpression in lip carcinogenesis.

Flávia Caló Aquino Xavier, Christina Maeda Takiya, Sílvia Regina Almeida Reis, Luciana Maria Pedreira Ramalho

Abstract read
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In one paragraph

Article in Journal of molecular histology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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

  1. Pooled it
  2. Article
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.

Flávia Caló Aquino XavierIntegrated Clinic and Propedeutics Department, School of Dentistry, Federal University of Bahia, Araújo Pinho, 62/64 Canela, Salvador, BA 40110-150, Brazil. f.calo@uol.com.br
Christina Maeda Takiya
Sílvia Regina Almeida Reis
Luciana Maria Pedreira Ramalho

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Actinic cheilitis (AC) is a potentially malignant disorder, which can present degrees of epithelial dysplasia, and may even evolve into lip squamous cell carcinoma (LSCC). Since p63 is a protein homologous to p53, which can be associated with tumorigenesis in epithelial tissues, this study aims to evaluate it in AC and LSCC, in the hopes to estimate the biological behavior of these lesions. Forty AC lesions and sixty-five cases of LSCC were quantitatively analyzed by immunohistochemistry, using anti-p63 antibody with ten cases of normal lip mucosa used as a control group. In all AC and LSCC cases studied, it was possible to detect the presence of the p63 protein. There was no statistically significant difference between immunostained cells and degree of epithelial dysplasias, nor between the LSCC grading malignancy. Nevertheless, p63 immunoexpression showed to be significantly correlated with AC and LSCC lesions as compared to normal lip epithelium. The results indicate that p63 protein is consistently expressed in AC and LSCC, and might be of help in the differential diagnosis between normal and dysplastic/neoplastic epithelium, although the evaluation using a primary antibody to all isotypes did not prove to be a risk biomarker during lip carcinogenesis. Thus, the production of antibodies for the six different p63 isotypes is urged, since in isolation they can have predictive value, mainly the DeltaNp63 isoforms.

Indexed as

Gene Expression Regulation, NeoplasticCarcinoma, Squamous CellCheilitisHumansImmunohistochemistryIn Vitro TechniquesLip NeoplasmsMembrane ProteinsCKAP4 protein, humanMembrane Proteins

Identifiers

What OpenQuestion holds

Textmetadata
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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.