Evidence map›Paper›PMID 23186559›Full record

ArticleBMC medical genomics2012

An array CGH based genomic instability index (G2I) is predictive of clinical outcome in breast cancer and reveals a subset of tumors without lymph node involvement but with poor prognosis.

Françoise Bonnet, Mickael Guedj, Natalie Jones, Sana Sfar, Véronique Brouste, Nabila Elarouci, Guillaume Banneau, Béatrice Orsetti, Charlotte Primois, Christine Tunon de Lara and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
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  4. Neuroblastoma Patients' Outcome and Chromosomal Instability.International journal of molecular sciences · 2023
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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

17 authors at 4 institutions in 1 country.

Françoise BonnetInserm U 916 Institut Bergonié, Université de Bordeaux, Bordeaux, France.
Mickael Guedj
Natalie Jones
Sana Sfar
Véronique Brouste
Nabila Elarouci
Guillaume Banneau
Béatrice Orsetti
Charlotte Primois
Christine Tunon de Lara
Marc Debled
Isabelle de Mascarel
Charles Theillet
Nicolas Sévenet
Aurélien de Reynies
Gaëtan MacGrogan
Michel Longy
Institut Bergonié · FRInserm · FRLa Ligue Contre le Cancer · FRUniversité de Bordeaux · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite entering complete remission after primary treatment, a substantial proportion of patients with early stage breast cancer will develop metastases. Prediction of such an outcome remains challenging despite the clinical use of several prognostic parameters. Several reports indicate that genomic instability, as reflected in specific chromosomal aneuploidies and variations in DNA content, influences clinical outcome but no precise definition of this parameter has yet been clearly established.

methodsTo explore the prognostic value of genomic alterations present in primary tumors, we performed a comparative genomic hybridization study on BAC arrays with a panel of breast carcinomas from 45 patients with metastatic relapse and 95 others, matched for age and axillary node involvement, without any recurrence after at least 11 years of follow-up. Array-CGH data was used to establish a two-parameter index representative of the global level of aneusomy by chromosomal arm, and of the number of breakpoints throughout the genome.

resultsApplication of appropriate thresholds allowed us to distinguish three classes of tumors highly associated with metastatic relapse. This index used with the same thresholds on a published set of tumors confirms its prognostic significance with a hazard ratio of 3.24 [95CI: 1.76-5.96] p = 6.7 x 10(-5) for the bad prognostic group with respect to the intermediate group. The high prognostic value of this genomic index is related to its ability to individualize a specific group of breast cancers, mainly luminal type and axillary node negative, showing very high genetic instability and poor outcome. Indirect transcriptomic validation was obtained on independent data sets.

conclusionAccurate evaluation of genetic instability in breast cancers by a genomic instability index (G2I) helps individualizing specific tumors with previously unexpected very poor prognosis.

Indexed as

Comparative Genomic HybridizationGenomic InstabilityAdultAgedBreast NeoplasmsCluster AnalysisFemaleFollow-Up StudiesGene Expression ProfilingGenome, HumanHumansLymphatic MetastasisLymph NodesMiddle AgedMutationPrognosisTumor Suppressor Protein p53

Identifiers

PMID23186559
PMCPMC3558323
OpenAlexW2142058648

What OpenQuestion holds

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LicenceCC BY
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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.