Evidence map›Paper›PMID 24550749›Full record

ReviewBreast care (Basel, Switzerland)2013

Genomic profiling in luminal breast cancer.

Oleg Gluz, Daniel Hofmann, Rachel Würstlein, Cornelia Liedtke, Ulrike Nitz, Nadia Harbeck

Abstract readReview
In one paragraph

Review in Breast care (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Genomic Signatures in Luminal Breast Cancer.Breast care (Basel, Switzerland) · 2020
    Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. 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

6 authors.

Oleg GluzEvangelisches Krankenhaus, Bethesda Mönchengladbach GmbH, Mönchengladbach, Germany.
Daniel HofmannEvangelisches Krankenhaus, Bethesda Mönchengladbach GmbH, Mönchengladbach, Germany.
Rachel WürstleinBrustzentrum, Ludwig-Maximilians-Universität München, Germany.
Cornelia LiedtkeKlinik für Gynäkologie und Geburtshilfe, Universitätsklinikum Schleswig-Holstein / Campus Lübeck, Germany.
Ulrike NitzEvangelisches Krankenhaus, Bethesda Mönchengladbach GmbH, Mönchengladbach, Germany.
Nadia HarbeckBrustzentrum, Ludwig-Maximilians-Universität München, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The developments in gene expression analysis have made it possible to sub-classify hormone receptor-positive (luminal) breast cancer in different prognostic subgroups. This sub-classification is currently used in clinical routine as prognostic signature (e.g. 21-gene Onoctype DX®, 70-gene Mammaprint®). As yet, the optimal method for sub-classification has not been defined. Moreover, there is no evidence from prospective trials. This review explores widely used genomic signatures in luminal breast cancer, making a critical appraisal of evidence from retrospective/prospective trials. It is based on systematic literature search performed using Medline (accessed September 2013) and abstracts presented at the Annual Meeting of American Society of Clinical Oncology and San Antonio Breast Cancer Symposium.

Indexed as

BiomarkerBreast cancerGene expressionLuminal breast cancerPrognostic markers

Identifiers

PMID24550749
PMCPMC3919430

What OpenQuestion holds

Textmetadata
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.