Evidence map›Paper›PMID 24487789›Full record

ReviewVirchows Archiv : an international journal of pathology2014

Molecular tests as prognostic factors in breast cancer.

Marc J van de Vijver

Abstract readReview
PubMed Publisher
In one paragraph

Review in Virchows Archiv : an international journal of pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Novel Molecular Markers for Breast Cancer.Biomarkers in cancer · 2016
    Review
  10. Article
  11. The role of the UTS2 gene polymorphisms and plasma Urotensin-II levels in breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  12. Review
  13. Review
  14. Article
  15. Molecular classification of breast cancer.Virchows Archiv : an international journal of pathology · 2014
    Article
  16. Prognostic biomarkers: an introduction.Virchows Archiv : an international journal of pathology · 2014
    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

1 author.

Marc J van de VijverDepartment of Pathology, Academic Medical Center, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands, m.j.vandevijver@amc.uva.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In early breast cancer, prognostic tests are used to guide decisions on adjuvant systemic hormonal therapy, chemotherapy and targeted therapy treatment. This has led to large research efforts to identify novel prognostic markers in breast cancer. At present, the tissue factors used to guide treatment of breast cancer patients are tumor size, lymph node status, histologic grade, ER status, PR status, and HER2 status; in addition, multigene-expression-based prognostic tests are rapidly emerging. While identification of prognostic gene expression profiles has been successful, it has not been possible yet to identify robust clinically useful predictors of response to systemic treatment. As a result of rapid advances in technology and bioinformatics, it has become possible to analyze large series of breast carcinomas using high-throughput genetic techniques, including whole genome sequence analysis and gene expression profiling. These genomic studies will lead to the development of additional prognostic and predictive tissue-based tests. The most important aspects of the currently used tissue-based prognostic and predictive tests and the research in this area are reviewed.

Indexed as

Pathology, MolecularAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsGene Expression ProfilingHumansPrognosisBiomarkers, Tumor

Identifiers

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.