Evidence map›Paper›PMID 24416469›Full record

ArticleCurrent breast cancer reports2013

Breast Cancer Biomarkers: Utility in Clinical Practice.

Fanny Le Du, Naoto T Ueno, Ana M Gonzalez-Angulo

Abstract read
In one paragraph

Article in Current breast cancer reports, 2013. 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. Review
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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

3 authors.

Fanny Le DuDepartment of Breast Medical Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA ; Department of Medical Oncology, Eugène Marquis Cancer Center, Rennes, France.
Naoto T UenoDepartment of Breast Medical Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
Ana M Gonzalez-AnguloDepartment of Breast Medical Oncology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA ; Department of Systems Biology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
The PI3K/PTEN/AKT Signal Transduction Cascade in Breast CancerK23CA121994 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GONZALEZ-ANGULO, ANA M. · 2006 to 2010
$680k
NCI NIH HHS K23 CA121994NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease. For the past decades, new technical tools have been developed for biomarkers at the DNA, RNA and protein levels to better understand the biology of breast cancer. This progress is essential to classify the disease into clinically relevant subtypes, which may lead to new therapeutic opportunities. Novel biomarker development is paramount to deliver personalized cancer therapies. Further, tumor evolution, being natural or under treatment pressure, should be monitored and "liquid biopsies" by detecting circulating tumor cells or circulating free tumor DNA in blood samples will become an important option. This paper reviews the new generation of biomarkers and the current evidence to demonstrate their analytical validity, clinical validity and clinical utility.

Indexed as

BiomarkersBreast cancerClinical utilityPredictionPrognosis

Identifiers

PMID24416469
PMCPMC3882751

What OpenQuestion holds

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Registered trials

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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.