Evidence map›Paper›PMID 25098819›Full record

Trial reportPloS one2014

Adjusting breast cancer patient prognosis with non-HER2-gene patterns on chromosome 17.

Vassiliki Kotoula, Mattheos Bobos, Zoi Alexopoulou, Christos Papadimitriou, Kyriaki Papadopoulou, Elpida Charalambous, Eleftheria Tsolaki, Grigorios Xepapadakis, Irene Nicolaou, Irene Papaspirou and 5 more

Open access · goldAbstract readClinical Trial, Phase IIIMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

15 authors at 6 institutions in 1 country.

Vassiliki KotoulaDepartment of Pathology, Aristotle University of Thessaloniki School of Medicine, Thessaloniki, Greece; Laboratory of Molecular Oncology, Hellenic Foundation for Cancer Research, Aristotle University of Thessaloniki School of Medicine, Thessaloniki, Greece.
Mattheos BobosLaboratory of Molecular Oncology, Hellenic Foundation for Cancer Research, Aristotle University of Thessaloniki School of Medicine, Thessaloniki, Greece.
Zoi AlexopoulouDepartment of Biostatistics, Health Data Specialists Ltd, Athens, Greece.
Christos PapadimitriouDepartment of Clinical Therapeutics, "Alexandra" Hospital, University of Athens School of Medicine, Athens, Greece.
Kyriaki PapadopoulouLaboratory of Molecular Oncology, Hellenic Foundation for Cancer Research, Aristotle University of Thessaloniki School of Medicine, Thessaloniki, Greece.
Elpida CharalambousLaboratory of Molecular Oncology, Hellenic Foundation for Cancer Research, Aristotle University of Thessaloniki School of Medicine, Thessaloniki, Greece.
Eleftheria TsolakiLaboratory of Molecular Oncology, Hellenic Foundation for Cancer Research, Aristotle University of Thessaloniki School of Medicine, Thessaloniki, Greece.
Grigorios XepapadakisBreast Clinic, "REA" Hospital, Piraeus, Greece.
Irene NicolaouDepartment of Histopathology, "Agii Anagriri" Cancer Hospital, Athens, Greece.
Irene PapaspirouDepartment of Pathology, "Alexandra" Hospital, Athens, Greece.
Gerasimos AravantinosSecond Department of Medical Oncology, "Agii Anargiri" Cancer Hospital, Athens, Greece.
Christos ChristodoulouSecond Department of Medical Oncology, "Metropolitan" Hospital, Piraeus, Greece.
Ioannis EfstratiouDepartment of Pathology, "Papageorgiou" Hospital, Thessaloniki, Greece.
Helen GogasFirst Department of Medicine, "Laiko" General Hospital, University of Athens, Medical School, Athens, Greece.
George FountzilasLaboratory of Molecular Oncology, Hellenic Foundation for Cancer Research, Aristotle University of Thessaloniki School of Medicine, Thessaloniki, Greece; Department of Medical Oncology, "Papageorgiou" Hospital, Aristotle University of Thessaloniki School of Medicine, Thessaloniki, Greece.
Aristotle University of Thessaloniki · GRAlexandra Hospital · GRHospital Agioi Anargyroi · GRPapageorgiou General Hospital · GRLaiko General Hospital of Athens · GRMetropolitan Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHER2 and TOP2A gene status are assessed for diagnostic and research purposes in breast cancer with fluorescence in situ hybridization (FISH). However, FISH probes do not target only the annotated gene, while chromosome 17 (chr17) is among the most unstable chromosomes in breast cancer. Here we asked whether the status of specifically targeted genes on chr17 might help in refining prognosis of early high-risk breast cancer patients.

methodsCopy numbers (CN) for 14 genes on chr17, 4 of which were within and 10 outside the core HER2 amplicon (HER2- and non-HER2-genes, respectively) were assessed with qPCR in 485 paraffin-embedded tumor tissue samples from breast cancer patients treated with adjuvant chemotherapy in the frame of two randomized phase III trials. PRINCIPAL

findingsHER2-genes CN strongly correlated to each other (Spearman's rho >0.6) and were concordant with FISH HER2 status (Kappa 0.6697 for ERBB2 CN). TOP2A CN were not concordant with TOP2A FISH status (Kappa 0.1154). CN hierarchical clustering revealed distinct patterns of gains, losses and complex alterations in HER2- and non-HER2-genes associated with IHC4 breast cancer subtypes. Upon multivariate analysis, non-HER2-gene gains independently predicted for shorter disease-free survival (DFS) and overall survival (OS) in patients with triple-negative cancer, as compared to luminal and HER2-positive tumors (interaction p = 0.007 for DFS and p = 0.011 for OS). Similarly, non-HER2-gene gains were associated with worse prognosis in patients who had undergone breast-conserving surgery as compared to modified radical mastectomy (p = 0.004 for both DFS and OS). Non-HER2-gene losses were unfavorable prognosticators in patients with 1-3 metastatic nodes, as compared to those with 4 or more nodes (p = 0.017 for DFS and p = 0.001 for OS).

conclusionsTOP2A FISH and qPCR may not identify the same pathology on chr17q. Non-HER2 chr17 CN patterns may further predict outcome in breast cancer patients with known favorable and unfavorable prognosis.

Indexed as

Chromosomal InstabilityAdultAntigens, NeoplasmBreast NeoplasmsChromosomes, Human, Pair 17Disease-Free SurvivalDNA-Binding ProteinsDNA Topoisomerases, Type IIErb-b2 Receptor Tyrosine KinasesFemaleHumansIn Situ Hybridization, FluorescenceMiddle AgedPoly-ADP-Ribose Binding ProteinsSurvival RateAntigens, NeoplasmDNA-Binding ProteinsDNA Topoisomerases, Type IIERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesPoly-ADP-Ribose Binding ProteinsTOP2A protein, human

Identifiers

PMID25098819
PMCPMC4123879
OpenAlexW2089467635

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.