Evidence map›Paper›PMID 37383162›Full record

ArticleIranian journal of pathology2023

Evaluation of GATA3 and GCDFP15 Expression in Triple Negative Breast Cancers.

Mahsa Ahadi, Afshin Moradi, Elham Rabiee, Fatemeh Pourmotahari

Open access · goldAbstract read
In one paragraph

Article in Iranian journal of pathology, 2023. 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
0.8field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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 at 1 institution in 1 country.

Mahsa AhadiMen's Health and Reproductive Health Research Centre, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Afshin MoradiMen's Health and Reproductive Health Research Centre, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Elham RabieeDepartment of Pathology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fatemeh PourmotahariClinical Research and Development Center, Shahid Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Objective: Breast cancer is one of the most common cancers in the world. There are some different types of breast cancer and triple-negative breast cancer is the type in which no receptors for estrogen, progesterone, and human epidermal growth factor receptor-2 are expressed. Identifying factors that can facilitate the diagnosis of triple-negative breast cancer is important. In this study, we decided to investigate the expression of GATA3 and GCDFP15 genes in triple-negative breast cancers. Methods: This is a retrospective descriptive-analytical study that was performed on 50 specimens of samples of triple-negative breast cancer. Data including age and sex, tumor grade, tumor size, types of invasion, GATA-3, and GCDFP-15 were assessed. Results: The mean age of the patients was 48.3±14.17 years. Of the total specimens, 46% were positive for GCDFP15 and 90% were positive for GATA-3. The intensity of GATA3 was evaluated and it was observed that 33(73.3%) of the cells were strongly stained and 12(26.7%) were weakly stained. There were no relationships between GATA-3 and GCDFP-15 with tumor characteristics. Conclusion: GATA-3 and GCDFP-15 may serve as diagnostic markers for triple-negative breast cancers and GATA-3 seems to be more reliable.

Indexed as

Breast cancerGATA-3GCDFP-15Triple-negative breast cancer

Identifiers

PMID37383162
PMCPMC10293598
OpenAlexW4375820699

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.