Evidence map›Paper›PMID 26019623›Full record

ArticleBiotechnology, biotechnological equipment2015

Whole genome microarray analysis in non-small cell lung cancer.

Mohammad Al Zeyadi, Ivanka Dimova, Vladislav Ranchich, Blaga Rukova, Desislava Nesheva, Zora Hamude, Sevdalin Georgiev, Danail Petrov, Draga Toncheva

Open access · goldAbstract read
In one paragraph

Article in Biotechnology, biotechnological equipment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

15 citing papers in PubMed, 27 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

9 authors at 1 institution in 1 country.

Mohammad Al ZeyadiDepartment of Medical Genetics, Faculty of Medicine, Medical University of Sofia , Sofia , Bulgaria.
Ivanka DimovaDepartment of Medical Genetics, Faculty of Medicine, Medical University of Sofia , Sofia , Bulgaria.
Vladislav RanchichDepartment of Medical Genetics, Faculty of Medicine, Medical University of Sofia , Sofia , Bulgaria.
Blaga RukovaDepartment of Medical Genetics, Faculty of Medicine, Medical University of Sofia , Sofia , Bulgaria.
Desislava NeshevaDepartment of Medical Genetics, Faculty of Medicine, Medical University of Sofia , Sofia , Bulgaria.
Zora HamudeDepartment of Medical Genetics, Faculty of Medicine, Medical University of Sofia , Sofia , Bulgaria.
Sevdalin GeorgievDepartment of Medical Genetics, Faculty of Medicine, Medical University of Sofia , Sofia , Bulgaria.
Danail PetrovClinic of Thoracic Surgery, Medical University of Sofia , Sofia , Bulgaria.
Draga TonchevaDepartment of Medical Genetics, Faculty of Medicine, Medical University of Sofia , Sofia , Bulgaria.
Medical University of Sofia · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a serious health problem, since it is one of the leading causes for death worldwide. Molecular-cytogenetic studies could provide reliable data about genetic alterations which could be related to disease pathogenesis and be used for better prognosis and treatment strategies. We performed whole genome oligonucleotide microarray-based comparative genomic hybridization in 10 samples of non-small cell lung cancer. Trisomies were discovered for chromosomes 1, 13, 18 and 20. Chromosome arms 5p, 7p, 11q, 20q and Хq were affected by genetic gains, and 1p, 5q, 10q and 15q, by genetic losses. Microstructural (<5 Mbp) genomic aberrations were revealed: gains in regions 7p (containing the epidermal growth factor receptor gene) and 12p (containing

Indexed as

array CGHnon-small cell lung canceroncogenestumour-suppressor genes

Identifiers

PMID26019623
PMCPMC4433918
OpenAlexW2089936225

What OpenQuestion holds

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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.