Evidence map›Paper›PMID 23326786›Full record

ArticleAdvanced biomedical research2012

The expression of prostate-specific antigen in invasive breast carcinoma and its relationship with routine clinicopathologic parameters.

Fereshteh Mohammadizadeh, Mohammad Ranaee, Mohsen Hani Tabaei Zavareh, Mehri Faghihi, Mahdieh Saremi, Mehdi Eftekhari

Open access · goldAbstract read
In one paragraph

Article in Advanced biomedical research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

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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, 6 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Fereshteh MohammadizadehDepartment of Pathology, School of Medicine, Isfahan University of Medical Sciences, Ayatollah Rouhani Hospital, Isfahan, Iran.
Mohammad Ranaee
Mohsen Hani Tabaei Zavareh
Mehri Faghihi
Mahdieh Saremi
Mehdi Eftekhari
Isfahan University of Medical Sciences · IRBabol University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvasive breast carcinoma is one of the most common cancers of women. Parameters such as lymph node status, tumor grade, and the status of hormone receptors are among the main prognostic determinants of this cancer. Immunohistochemical detection of prostate-specific antigen (PSA) is widely used to identify metastatic prostatic adenocarcinoma. However, its immunoreactivity has been found in some non-prostatic tissues. This study was conducted to assess PSA expression in invasive breast carcinoma and its relationship with routine clinicopathologic parameters. MATERIALS AND

methods100 formalin-fixed and paraffin-embedded invasive breast carcinoma tissue specimens from the pathology archive of Alzahra hospital (Isfahan, Iran) were studied for the expression of estrogen receptor (ER), progesterone receptor (PR), HER2/neu, and PSA by immunohistochemistry. Stained sections were classified according to the intensity of staining and the percentage of cells showing PSA staining. The relationship between PSA expression and other markers, age, lymph node status, tumor subtype, and tumor grade was then studied.

resultsNo association was found between PSA expression on one hand and PR, Her2/neu, age, lymph node status, tumor grade, and tumor subtype on the other. PSA score was reversely correlated with ER expression (P = 0.015).

conclusionDespite the reverse relationship between PSA expression and the immunoreactivity of ER, PSA expression was not correlated with other prognostic factors. Therefore, the detection of PSA by immunohistochemistry does not seem to be a significant prognostic parameter in patients with invasive breast carcinoma.

Indexed as

Estrogen receptorimmunohistochemistryinvasive breast carcinomaprogesterone receptorprostate-specific antigen

Identifiers

PMID23326786
PMCPMC3544090
OpenAlexW2070764987

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.