Evidence map›Paper›PMID 34054308›Full record

ArticleBreast cancer (Dove Medical Press)2021

Analysis of Increased EGFR and IGF-1R Signaling and Its Correlation with Socio-Epidemiological Features and Biological Profile in Breast Cancer Patients: A Study in Northern Brazil.

Francianne Silva Rocha, Jersey Heitor da Silva Maués, Cynthia Mara Brito Lins Pereira, Caroline Aquino Moreira-Nunes, Rommel Mário Rodriguez Burbano

Open access · goldAbstract read
In one paragraph

Article in Breast cancer (Dove Medical Press), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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  4. 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

5 authors at 2 institutions in 1 country.

Francianne Silva Rocha *Mastology Department, Ophir Loyola Hospital, Belém, PA, Brazil.
Jersey Heitor da Silva Maués *Laboratory of Molecular Biology, Ophir Loyola Hospital, Belém, PA, Brazil.
Cynthia Mara Brito Lins PereiraOncology Research Center, Hospital Universitário João De Barros Barreto, Belém, PA, Brazil.
Caroline Aquino Moreira-NunesLaboratory of Pharmacogenetics, Drug Research and Development Center (NPDM), Federal University of Ceará, Fortaleza, CE, Brazil.ORCID 0000-0001-5845-3481
Rommel Mário Rodriguez BurbanoLaboratory of Molecular Biology, Ophir Loyola Hospital, Belém, PA, Brazil.ORCID 0000-0002-4872-234X
Universidade Federal do Pará · BRUniversidade Federal do Ceará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBreast cancer (BC) is the second most frequent cancer worldwide. It is known that a subset of BC has amplification, and overexpression of the epidermal growth factor receptor (EGFR) and high expression of the insulin-like growth factor receptor-1 (IGF-1R) are correlated with a favorable prognosis. This study aimed to evaluate the prognostic and predictive values of the EGFR and IGF-1R in tumor samples from patients with BC and their correlation with socio-epidemiological features. PATIENTS AND

methodsWe analyzed socio-epidemiological, clinical-pathological data and tumor tissues from 124 patients with BC undergoing treatment, to assess levels of EGFR and IGF-1R mRNA and protein. The predictive performance included the calculation of area-under-the-curve (AUC) to discriminate groups of patients with high and low mRNA expression associated with survival analysis within each molecular group of BC.

resultsWe found a significant expression increase (

conclusionOur results suggest that EGFR and IGF-1R expression patterns associated with the clinical characteristics of patients and biological profile influenced the evolution of BC.

Indexed as

breast cancerEGFRhormonal receptorsIGF-IRpredictive performance

Identifiers

PMID34054308
PMCPMC8153070
OpenAlexW3165872480

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.