Evidence map›Paper›PMID 23941516›Full record

ReviewCurrent cancer drug targets2013

Use of single nucleotide polymorphism array technology to improve the identification of chromosomal lesions in leukemia.

Ilaria Iacobucci, Annalisa Lonetti, Cristina Papayannidis, Giovanni Martinelli

Open access · bronzeAbstract readReview
In one paragraph

Review in Current cancer drug targets, 2013. 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
1.0field-weighted citation impact, top 23% 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, 10 citations in OpenAlex.

  1. Article
  2. SNPs Array Karyotyping in Non-Hodgkin Lymphoma.Microarrays (Basel, Switzerland) · 2015
    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 2 institutions in 2 countries.

Ilaria IacobucciInstitute of Hematology "L. e A. Seràgnoli" Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy, Via Massarenti, 9 - 40138 Bologna, Italy. ilaria.iacobucci2@unibo.it.
Annalisa Lonetti
Cristina Papayannidis
Giovanni Martinelli
University of Bologna · ITBentham Science Publishers (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute leukemias are characterized by recurring chromosomal and genetic abnormalities that disrupt normal development and drive aberrant cell proliferation and survival. Identification of these abnormalities plays important role in diagnosis, risk assessment and patient classification. Until the last decade methods to detect these aberrations have included genome wide approaches, such as conventional cytogenetics, but with a low sensitivity (5-10%), or gene candidate approaches, such as fluorescent in situ hybridization, having a greater sensitivity but being limited to only known regions of the genome. Single nucleotide polymorphism (SNP) technology is a screening method that has revolutionized our way to find genetic alterations, enabling linkage and association studies between SNP genotype and disease as well as the identification of alterations in DNA content on a whole genome scale. The adoption of this approach for the study of lymphoid and myeloid leukemias contributed to the identification of novel genetic alterations, such as losses/gains/uniparental disomy not visible by cytogenetics and implicated in pathogenesis, improving risk assessment and patient classification and in some cases working as targets for tailored therapies. In this review, we reported recent advances obtained in the knowledge of the genomic complexity of chronic myeloid leukemia and acute leukemias thanks to the use of high-throughput technologies, such as SNP array.

Indexed as

Chromosome AberrationsChromosomes, HumanOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideAnimalsBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, LeukemicGenetic Predisposition to DiseaseGenetic TestingGenome-Wide Association StudyHumansLeukemiaPatient SelectionPhenotypePrecision MedicineBiomarkers, Tumor

Identifiers

PMID23941516
PMCPMC4104470
OpenAlexW2101584368

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.