Evidence map›Paper›PMID 21045282›Full record

ArticleAnalytical cellular pathology (Amsterdam)2010

Gene copy number variation in male breast cancer by aCGH.

Stefania Tommasi, Anita Mangia, Giuseppina Iannelli, Patrizia Chiarappa, Elena Rossi, Laura Ottini, Marcella Mottolese, Wainer Zoli, Orsetta Zuffardi, Angelo Paradiso

Open access · greenAbstract read
In one paragraph

Article in Analytical cellular pathology (Amsterdam), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact, top 59% 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

9 citing papers in PubMed, 0 citations in OpenAlex.

  1. Review
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  3. Article
  4. Chromosome 17 copy number changes in male breast cancer.Cellular oncology (Dordrecht, Netherlands) · 2015
    Article
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  6. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Stefania TommasiNational Cancer Centre of Bari, Bari, Italy.
Anita Mangia
Giuseppina Iannelli
Patrizia Chiarappa
Elena Rossi
Laura Ottini
Marcella Mottolese
Wainer Zoli
Orsetta Zuffardi
Angelo Paradiso
University of Pavia · ITIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori · ITSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMale breast cancer (MBC) is a rare disease and little is known about its etiopathogenesis. Array comparative genomic hybridization (aCGH) provides a method to quantitatively measure the changes of DNA copy number and to map them directly onto the complete linear genome sequences. The aim of this study was to investigate DNA imbalances by aCGH and compare them with a female breast cancer dataset.

methodsWe used Agilent Human Genome CGH Microarray Kit 44B and 44K to compare genomic alterations in 25 male breast cancer tissues studied at NCC of Bari and 16 female breast cancer deposited with the Gene Expression Omnibus (GSE12659). Data analysis was performed with Nexus Copy Number 5.0 software.

resultsAll the 25 male and 16 female breast cancer samples displayed some chromosomal instability (110.93 alterations per patient in female, 69 in male). However, male samples presented a lower frequency of genetic alterations both in terms of loss and gains.

conclusionaCGH is an effective tool for analysis of cytogenetic aberrations in MBC, which involves different biological processes than female. Male most significant altered regions contained genes involved in cell communication, cell division and immunological response, while female cell-cell junction maintenance, regulation of transcription and neuron development.

Indexed as

Comparative Genomic HybridizationAdultAgedBreast NeoplasmsBreast Neoplasms, MaleFemaleGene DosageHumansMaleMiddle Aged

Identifiers

PMID21045282
PMCPMC4605520
OpenAlexW4302401142

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.