Evidence map›Paper›PMID 25057307›Full record

ReviewJournal of Cancer2014

Far beyond the usual biomarkers in breast cancer: a review.

Brunna Dos Anjos Pultz, Felipe Andrés Cordero da Luz, Paulo Rogério de Faria, Ana Paula Lima Oliveira, Rogério Agenor de Araújo, Marcelo José Barbosa Silva

Abstract readReview
In one paragraph

Review in Journal of Cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Exosomal transfer of miR-548aq-3p confers cisplatin resistanceAmerican journal of cancer research · 2023
    Article
  2. Article
  3. Article
  4. Coexpression of Smac/DIABLO and Estrogen Receptor in breast cancer.Cancer biomarkers : section A of Disease markers · 2021
    Article
  5. Review
  6. Review
  7. Review
  8. Impact of Molybdenum Compounds as Anticancer Agents.Bioinorganic chemistry and applications · 2019
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
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.

Brunna Dos Anjos Pultz1. Laboratório de Imunoparasitologia, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil.
Felipe Andrés Cordero da Luz1. Laboratório de Imunoparasitologia, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil.
Paulo Rogério de Faria2. Laboratório de Histologia, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil.
Ana Paula Lima Oliveira2. Laboratório de Histologia, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil.
Rogério Agenor de Araújo3. Setor de Oncologia - Hospital de Clínicas de Uberlândia, Uberlândia, Minas Gerais, Brazil.
Marcelo José Barbosa Silva1. Laboratório de Imunoparasitologia, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research investigating biomarkers for early detection, prognosis and the prediction of treatment responses in breast cancer is rapidly expanding. However, no validated biomarker currently exists for use in routine clinical practice, and breast cancer detection and management remains dependent on invasive procedures. Histological examination remains the standard for diagnosis, whereas immunohistochemical and genetic tests are utilized for treatment decisions and prognosis determinations. Therefore, we conducted a comprehensive review of literature published in PubMed on breast cancer biomarkers between 2009 and 2013. The keywords that were used together were breast cancer, biomarkers, diagnosis, prognosis and drug response. The cited references of the manuscripts included in this review were also screened. We have comprehensively summarized the performance of several biomarkers for diagnosis, prognosis and predicted drug responses of breast cancer. Finally, we have identified 15 biomarkers that have demonstrated promise in initial studies and several miRNAs. At this point, such biomarkers must be rigorously validated in the clinical setting to be translated into clinically useful tests for the diagnosis, prognosis and prediction of drug responses of breast cancer.

Indexed as

biomarkersbreast cancerchemotherapy resistance.early diagnosisprognosis

Identifiers

PMID25057307
PMCPMC4107232

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.