Evidence map›Paper›PMID 26893571›Full record

ArticleOncoTargets and therapy2016

Intracellular calcium is a target of modulation of apoptosis in MCF-7 cells in the presence of IgA adsorbed to polyethylene glycol.

Adenilda Cristina Honorio-França, Gabriel Triches Nunes, Danny Laura Gomes Fagundes, Patrícia Gelli Feres de Marchi, Rubian Trindade da Silva Fernandes, Juliana Luzia França, Aline do Carmo França-Botelho, Lucélia Campelo Albuquerque Moraes, Fernando de Pilla Varotti, Eduardo Luzía França

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

10 authors at 1 institution in 1 country.

Adenilda Cristina Honorio-FrançaInstitute of Biological and Health Science, Federal University of Mato Grosso, Barra do Garças, Mato Grosso, Brazil.
Gabriel Triches NunesInstitute of Biological and Health Science, Federal University of Mato Grosso, Barra do Garças, Mato Grosso, Brazil.
Danny Laura Gomes FagundesInstitute of Biological and Health Science, Federal University of Mato Grosso, Barra do Garças, Mato Grosso, Brazil.
Patrícia Gelli Feres de MarchiInstitute of Biological and Health Science, Federal University of Mato Grosso, Barra do Garças, Mato Grosso, Brazil.
Rubian Trindade da Silva FernandesInstitute of Biological and Health Science, Federal University of Mato Grosso, Barra do Garças, Mato Grosso, Brazil.
Juliana Luzia FrançaInstitute of Biological and Health Science, Federal University of Mato Grosso, Barra do Garças, Mato Grosso, Brazil; Institute of Health Sciences, University Center of Planalto de Araxá, Araxá, Minas Gerais, Brazil.
Aline do Carmo França-BotelhoInstitute of Health Sciences, University Center of Planalto de Araxá, Araxá, Minas Gerais, Brazil.
Lucélia Campelo Albuquerque MoraesInstitute of Biological and Health Science, Federal University of Mato Grosso, Barra do Garças, Mato Grosso, Brazil.
Fernando de Pilla VarottiCampus Centro Oeste Dona Lindu - Federal University of São João Del Rei, Divinópolis, Minas Gerais, Brazil.
Eduardo Luzía FrançaInstitute of Biological and Health Science, Federal University of Mato Grosso, Barra do Garças, Mato Grosso, Brazil; Campus Centro Oeste Dona Lindu - Federal University of São João Del Rei, Divinópolis, Minas Gerais, Brazil.
Universidade Federal de Mato Grosso · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeClinical and epidemiological studies have indicated that breastfeeding has a protective effect on breast cancer risk. Protein-based drugs, including antibodies, are being developed to attain better forms of cancer therapy. Secretory IgA (SIgA) is the antibody class in human breast milk, and its activity can be linked to the protective effect of breastfeeding. The aim of this study was to investigate the effect of polyethylene glycol (PEG) microspheres with adsorbed SIgA on MCF-7 human breast cancer cells.

methodsThe PEG microspheres were characterized by flow cytometry and fluorescence microscopy. The MCF-7 cells were obtained from American Type Culture Collection. MCF-7 cells were pre-incubated for 24 hours with or without SIgA (100 ng/mL), PEG microspheres or SIgA adsorbed in PEG microspheres (100 ng/mL). Viability, intracellular calcium release, and apoptosis in MCF-7 cells were determined by flow cytometry.

resultsFluorescence microscopy and flow cytometry analyses revealed that SIgA was able to adsorb to the PEG microspheres. The MCF-7 cells that were incubated with PEG microspheres with adsorbed SIgA showed decreased viability. MCF-7 cells that were incubated with SIgA or PEG microspheres with adsorbed SIgA had increased intracellular Ca(2+) levels. In the presence of SIgA, an increase in the percentage of apoptotic cells was observed. The highest apoptosis index was observed when the cells were treated with PEG microspheres with adsorbed SIgA.

conclusionThese data suggest that colostral SIgA adsorbed to PEG microspheres has antitumor effects on human MCF-7 breast cancer cells and that the presence of large amounts of this protein in secreted breast milk may provide protection against breast tumors in women who breastfed.

Indexed as

apoptosiscolostrumMCF-7 cellsPEG microsphereSIgA

Identifiers

PMID26893571
PMCPMC4745958
OpenAlexW2254901471

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.