Evidence map›Paper›PMID 26569312›Full record

ArticleGenes2015

Identification of Differentially Expressed IGFBP5-Related Genes in Breast Cancer Tumor Tissues Using cDNA Microarray Experiments.

Mustafa Akkiprik, İrem Peker, Tolga Özmen, Gökçe Güllü Amuran, Bahadır M Güllüoğlu, Handan Kaya, Ayşe Özer

Open access · goldAbstract read
In one paragraph

Article in Genes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

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  13. Metabolite-Centric Reporter Pathway and Tripartite Network Analysis ofFrontiers in bioengineering and biotechnology · 2018
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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

7 authors at 1 institution in 1 country.

Mustafa AkkiprikDepartment of Medical Biology, School of Medicine, Marmara University, Istanbul 34854, Turkey. makkiprik@marmara.edu.tr.
İrem PekerDepartment of Medical Biology, School of Medicine, Marmara University, Istanbul 34854, Turkey.
Tolga ÖzmenGeneral Surgery, School of Medicine, Marmara University, Istanbul 34899, Turkey. drtolgaozmen@yahoo.com.tr.
Gökçe Güllü AmuranDepartment of Medical Biology, School of Medicine, Marmara University, Istanbul 34854, Turkey. gokcegullu@gmail.com.
Bahadır M GüllüoğluGeneral Surgery, School of Medicine, Marmara University, Istanbul 34899, Turkey. bmgulluoglu@marmara.edu.tr.
Handan KayaDepartment of Pathology, School of Medicine, Marmara University, Istanbul 34899, Turkey. hkaya@marmara.edu.tr.
Ayşe ÖzerDepartment of Medical Biology, School of Medicine, Marmara University, Istanbul 34854, Turkey. aozer@marmara.edu.tr.
Marmara University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IGFBP5 is an important regulatory protein in breast cancer progression. We tried to identify differentially expressed genes (DEGs) between breast tumor tissues with IGFBP5 overexpression and their adjacent normal tissues. In this study, thirty-eight breast cancer and adjacent normal breast tissue samples were used to determine IGFBP5 expression by qPCR. cDNA microarrays were applied to the highest IGFBP5 overexpressed tumor samples compared to their adjacent normal breast tissue. Microarray analysis revealed that a total of 186 genes were differentially expressed in breast cancer compared with normal breast tissues. Of the 186 genes, 169 genes were downregulated and 17 genes were upregulated in the tumor samples. KEGG pathway analyses showed that protein digestion and absorption, focal adhesion, salivary secretion, drug metabolism-cytochrome P450, and phenylalanine metabolism pathways are involved. Among these DEGs, the prominent top two genes (MMP11 and COL1A1) which potentially correlated with IGFBP5 were selected for validation using real time RT-qPCR. Only COL1A1 expression showed a consistent upregulation with IGFBP5 expression and COL1A1 and MMP11 were significantly positively correlated. We concluded that the discovery of coordinately expressed genes related with IGFBP5 might contribute to understanding of the molecular mechanism of the function of IGFBP5 in breast cancer. Further functional studies on DEGs and association with IGFBP5 may identify novel biomarkers for clinical applications in breast cancer.

Indexed as

breast cancergene expression profilingIGFBP5microarraypathway analysis

Identifiers

PMID26569312
PMCPMC4690035
OpenAlexW2153824220

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.