Evidence map›Paper›PMID 26458542›Full record

ArticleBMC cancer2015

AKAP3 correlates with triple negative status and disease free survival in breast cancer.

Rezvan Esmaeili, Keivan Majidzadeh-A, Leila Farahmand, Maryam Ghasemi, Malihe Salehi, Ali Reza Khoshdel

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Rezvan EsmaeiliCancer Genetics Department, Breast Cancer Research Center, ACECR, No 146, South Gandhi Ave, Vanak Sq., Tehran, Iran. Esmaeili.rezvan@gmail.com.
Keivan Majidzadeh-ACancer Genetics Department, Breast Cancer Research Center, ACECR, No 146, South Gandhi Ave, Vanak Sq., Tehran, Iran. kmajidzadeh@razi.tums.ac.ir.
Leila FarahmandCancer Genetics Department, Breast Cancer Research Center, ACECR, No 146, South Gandhi Ave, Vanak Sq., Tehran, Iran. laylafarahmand@gmail.com.
Maryam GhasemiTasnim Biotechnology Research Center (TBRC), School of Medicine, AJA University of Medical Sciences, Tehran, Iran. ghasemimaryam93@yahoo.com.
Malihe SalehiCancer Genetics Department, Breast Cancer Research Center, ACECR, No 146, South Gandhi Ave, Vanak Sq., Tehran, Iran. malihesalehi68@gmail.com.
Ali Reza KhoshdelDepartment of epidemiology, School of Medicine, Aja University of Medical Science, Tehran, Iran. alikhoshdel@yahoo.com.
Aja University of Medical Sciences · IRMotamed Cancer Institute · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer-testis antigens are among the new promising biomarkers, especially for targeted therapy. Aberrant and specific expression of these proteins has been reported in some tumor tissues. Also understanding their differential role in normal and cancer tissues may introduce them as new candidates for biomarker in cancer.

methodsAKAP3 expression was investigated in 162 tumors, normal adjacent and normal tissues of the breast with Real-Time PCR. Also the correlation between the gene expression and clinico-pathologic features of the tumors and treatment regimen was evaluated.

resultsThere was an association between lack of AKAP3 expression in tumor tissues and triple negative status (p=. 03). There was also a correlation between lack of this marker and tumor size (p = .01) and stage (p = .04). Lack of AKAP3 in normal adjacent tissues was associated with poor prognosis. Kaplan Meier plot demonstrated a remarkable better 5-year disease free survival in AKAP3 positive normal adjacent group.

conclusionsIt was found that this relationship is originated from the difference in AKAP3 expression, not therapy distribution between two groups of patients. Thus, it may be a proper biomarker candidate for triple negative breast cancer patients. Also, testing AKAP3 in normal tissue of the patients may be used to predict the outcome of the treatment.

Indexed as

Biomarkers, TumorGene ExpressionAdultAgedAged, 80 and overA Kinase Anchor ProteinsCase-Control StudiesFemaleHumansMiddle AgedNeoplasm GradingNeoplasm StagingPrognosisRNA, MessengerTriple Negative Breast NeoplasmsTumor BurdenAKAP3 protein, humanA Kinase Anchor ProteinsBiomarkers, TumorRNA, Messenger

Identifiers

PMID26458542
PMCPMC4603348
OpenAlexW1930410940

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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.