Evidence map›Paper›PMID 21465318›Full record

ReviewJournal of cancer research and clinical oncology2011

Breast cancer proteomics: a review for clinicians.

E R C G N Galvão, L M S Martins, J O Ibiapina, H M Andrade, S J H Monte

Open access · greenAbstract readReview
In one paragraph

Review in Journal of cancer research and clinical oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.4field-weighted citation impact, top 5% 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.

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

17 citing papers in PubMed, 48 citations in OpenAlex.

  1. Proteomics in the Diagnosis of Viral and Pathogenic Infections.Advances in experimental medicine and biology · 2026
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  14. Endobiogeny: a global approach to systems biology (part 1 of 2).Global advances in health and medicine · 2013
    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

5 authors at 4 institutions in 1 country.

E R C G N GalvãoFaculdade de Ciências Médicas/Universidade Estadual do Piauí, Rua São Pedro, 3274, Apto 103, Ilhotas, Teresina, Piauí 64.001-260, Brazil. elllisarosa@uol.com.br
L M S Martins
J O Ibiapina
H M Andrade
S J H Monte
Universidade Estadual do Piau · BRInstituto Federal do Piauí · BRUniversidade Federal de Minas Gerais · BRUniversidade Federal do Piauí · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBreast cancer is one of the major health problems of the Western world. Although the survival rate has improved with progress in screening and adjuvant systemic therapies, one-third of the patients with initial breast tumor have recurrence of the disease 10 years after the diagnosis, demonstrating the presence of micrometastasis. The underlying molecular mechanism of the disease needs to be better understood. Allied to genomics, proteomics technologies promise to be valuable for identifying new markers that improve screening, early diagnosis, prognosis and prediction of therapeutic response or toxicity, as well as the identification of new therapeutic targets. In this review, we present features of proteomic technology and its main implications, focusing on the protein profile in tumor tissues/cells through MALDI/SELDI, as well as on the current proteomic challenges in the breast cancer study.

methodsWe performed a research of protein profiling studies using mass spectrometry in breast cancer to identify potential biomarkers.

resultsMany protein peaks have been reported to bear significant diagnostic, prognostic or predictive value; however, the candidate biomarkers have not been validated for use in clinical patient care.

conclusionsProteomics is under development and, despite technical barriers that precede the use of proteomics analysis in clinical practice and breast cancer complexity, MALDI-TOF/SELDI-TOF MS proteomic platforms with their innovations are powerful analytical tools for the detection of better protein biomarkers, since the studies are conducted with adequate statistical power and analytical rigor. In the near future, they will be able to fulfill their role in personalized medicine.

Indexed as

Biomarkers, TumorBreast NeoplasmsElectrophoresis, Gel, Two-DimensionalFemaleHumansNeoplasm ProteinsPrognosisProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers, TumorNeoplasm Proteins

Identifiers

PMID21465318
PMCPMC11828288
OpenAlexW2012795967

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.