Evidence map›Paper›PMID 24591761›Full record

ReviewDisease markers2014

Molecular markers for breast cancer: prediction on tumor behavior.

Bruna Karina Banin Hirata, Julie Massayo Maeda Oda, Roberta Losi Guembarovski, Carolina Batista Ariza, Carlos Eduardo Coral de Oliveira, Maria Angelica Ehara Watanabe

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in Disease markers, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04093609 (Detection of XIST Gene Deletion by Fluorescence in Situ Hybridization in Patients With Breast Cancer and Its Relation With Different Response to Therapies), which is not on this map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% 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.

NCT04093609 unknown statusnot on this mapstarted 2020, after this paper: background citation

Detection of XIST Gene Deletion by Fluorescence in Situ Hybridization in Patients With Breast Cancer and Its Relation With Different Response to Therapies

TypeobservationalSponsorAssiut UniversityRan2020 to 2022Enrolled1ConditionsBreast CancerArmsXIST gene deletion
3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 1 synthesis or guideline pooled it, 184 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Developing a gene expression classifier for breast cancer diagnosis.Medical & biological engineering & computing · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Downregulation ofArchives of medical science : AMS · 2025
    Article
  14. Review
  15. Article
  16. Review
  17. NIR-II fluorescent AgMikrochimica acta · 2023
    Article
  18. Article
  19. Prognostic circulating proteomic biomarkers in colorectal liver metastases.Computational and structural biotechnology journal · 2023
    Review
  20. Review

30 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Bruna Karina Banin HirataLaboratory of Polymorphism and Application Study of DNA, Department of Pathological Sciences, Biological Sciences Center, State University of Londrina, 86057-970 Londrina, Brazil.
Julie Massayo Maeda OdaLaboratory of Polymorphism and Application Study of DNA, Department of Pathological Sciences, Biological Sciences Center, State University of Londrina, 86057-970 Londrina, Brazil.
Roberta Losi GuembarovskiLaboratory of Polymorphism and Application Study of DNA, Department of Pathological Sciences, Biological Sciences Center, State University of Londrina, 86057-970 Londrina, Brazil.
Carolina Batista ArizaLaboratory of Polymorphism and Application Study of DNA, Department of Pathological Sciences, Biological Sciences Center, State University of Londrina, 86057-970 Londrina, Brazil.
Carlos Eduardo Coral de OliveiraLaboratory of Polymorphism and Application Study of DNA, Department of Pathological Sciences, Biological Sciences Center, State University of Londrina, 86057-970 Londrina, Brazil.
Maria Angelica Ehara WatanabeLaboratory of Polymorphism and Application Study of DNA, Department of Pathological Sciences, Biological Sciences Center, State University of Londrina, 86057-970 Londrina, Brazil.
Universidade Estadual de Londrina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the most common cancers with greater than 1,300,000 cases and 450,000 deaths each year worldwide. The development of breast cancer involves a progression through intermediate stages until the invasive carcinoma and finally into metastatic disease. Given the variability in clinical progression, the identification of markers that could predict the tumor behavior is particularly important in breast cancer. The determination of tumor markers is a useful tool for clinical management in cancer patients, assisting in diagnostic, staging, evaluation of therapeutic response, detection of recurrence and metastasis, and development of new treatment modalities. In this context, this review aims to discuss the main tumor markers in breast carcinogenesis. The most well-established breast molecular markers with prognostic and/or therapeutic value like hormone receptors, HER-2 oncogene, Ki-67, and p53 proteins, and the genes for hereditary breast cancer will be presented. Furthermore, this review shows the new molecular targets in breast cancer: CXCR4, caveolin, miRNA, and FOXP3, as promising candidates for future development of effective and targeted therapies, also with lower toxicity.

Indexed as

AnimalsBiomarkers, TumorBreast NeoplasmsFemaleGene ExpressionHumansMicroRNAsNeoplasm ProteinsPrognosisBiomarkers, TumorMicroRNAsNeoplasm Proteins

Identifiers

PMID24591761
PMCPMC3925609
OpenAlexW1966807692

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.