Evidence map›Paper›PMID 27899970›Full record

ArticleOncology letters2016

FISH testing of HER2 immunohistochemistry 1+ invasive breast cancer with unfavorable characteristics.

Stella Petroni, Lucia Caldarola, Rachele Scamarcio, Francesco Giotta, Agnese Latorre, Anita Mangia, Giovanni Simone

Abstract read
In one paragraph

Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Rapid micro fluorescenceBiomicrofluidics · 2018
    Article
  8. [Volume of 4% neutral buffered formaldehyde affects the results ofZhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2017
    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

7 authors.

Stella PetroniDepartment of Pathology, National Cancer Research Institute 'Giovanni Paolo II', Bari I-70124, Italy.
Lucia CaldarolaDepartment of Pathology, National Cancer Research Institute 'Giovanni Paolo II', Bari I-70124, Italy.
Rachele ScamarcioDepartment of Emergency and Organ Transplants, University of Bari Aldo Moro, Bari I-70124, Italy.
Francesco GiottaMedical Oncology Unit, National Cancer Research Centre Institute 'Giovanni Paolo II', Bari I-70124, Italy.
Agnese LatorreMedical Oncology Unit, National Cancer Research Centre Institute 'Giovanni Paolo II', Bari I-70124, Italy.
Anita MangiaFunctional Biomorphology Laboratory, National Cancer Research Centre Institute 'Giovanni Paolo II', Bari I-70124, Italy.
Giovanni SimoneDepartment of Pathology, National Cancer Research Institute 'Giovanni Paolo II', Bari I-70124, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnostic assays for human epidermal growth factor receptor 2 (HER2) expression have a high predictive value because patients with HER2-positive tumors could benefit from HER2-targeted therapy. The aim of the present study is to analyze the incidence of HER2 gene amplification in selected tumors with adverse features that scored 1+ by immunohistochemistry (IHC). For that purpose, 331 consecutive invasive breast cancers (IBCs) were tested by IHC for HER2 expression between January and December 2013, 102 of which (31%) scored 1+. Of these 102 women with IBC who underwent surgery, 75 entered the study (73.5%). A total of 48 out of 75 (64%) IBC samples (patients' median age, 60.75 years) were selected according to ≥1 unfavorable tumor characteristics, and tested by fluorescence

Indexed as

fluorescence in situ hybridizationHER2immunohistochemistry score 1+invasive breast cancertargeted therapies

Identifiers

PMID27899970
PMCPMC5103906

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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.