Evidence map›Paper›PMID 23358476›Full record

ArticleCancer biology & therapy2013

Mammaglobin peptide as a novel biomarker for breast cancer detection.

Julie M Galvis-Jiménez, Hernando Curtidor, Manuel A Patarroyo, Pedro Monterrey, Sandra R Ramírez-Clavijo

Open access · bronzeAbstract read
In one paragraph

Article in Cancer biology & therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Role of Peptides in Diagnostics.International journal of molecular sciences · 2021
    Review
  7. Article
  8. Review
  9. Review
  10. Co-expression of the Mammaglobin (Cancer diagnosis & prognosis
    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

5 authors at 2 institutions in 1 country.

Julie M Galvis-JiménezFaculty of Natural and Mathemathical Sciences, Universidad del Rosario, Bogotá, Colombia.
Hernando Curtidor
Manuel A Patarroyo
Pedro Monterrey
Sandra R Ramírez-Clavijo
Universidad del Rosario · COFundación Instituto de Inmunología de Colombia · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among the different types of tests used for cancer diagnosis, molecular tests have been increrasingly incorporated because of their ability to detect either expression or functional changes in the molecules associated with the disease. Mammaglobin is a protein found in mammary tissue and can be detected in serum. This protein has been proposed as a biomarker to diagnose breast cancer, given that patients exhibit an increased amount of the protein in serum and tumor tissue, in comparison to healthy individuals. The ELISA test was used in the present study to detect mammaglobin in blood samples from 51 breast cancer patients and 51 control individuals. Antibodies against mamaglobin were generated in rabbits by using the following synthetic peptides: A (amino acids 13 to 21), B (amino acids 31 to 39), C (amino acids 56 to 64) and a D peptide, corresponding to the protein isoform without three amino acids (59, 60 and 61 amino acids) from peptide C. All peptides were immunogenic and allowed generation of antibodies that were able to discriminate patients from controls. The best results were obtained for antiserum B, achieving the best sensitivity (86.3%) and specificity (96%).

Indexed as

AdultAgedAged, 80 and overAmino Acid SequenceAnimalsBiomarkers, TumorBreast NeoplasmsCase-Control StudiesEnzyme-Linked Immunosorbent AssayFemaleHumansImmune SeraMammaglobin AMiddle AgedPeptide FragmentsRabbitsBiomarkers, TumorImmune SeraMammaglobin APeptide Fragments

Identifiers

PMID23358476
PMCPMC3667872
OpenAlexW2072425636

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.