Evidence map›Paper›PMID 30076557›Full record

SynthesisStem cell reviews and reports2018

Expression of Cancer Stem Cell Biomarkers in Human Head and Neck Carcinomas: a Systematic Review.

Raissa Borges Curtarelli, Jussara Maria Gonçalves, Luciane Geanini Pena Dos Santos, Maria Gorete Savi, Jacques Eduardo Nör, Luis André Mendonça Mezzomo, Mabel Mariela Rodríguez Cordeiro

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Stem cell reviews and reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Prognostic Relevance of CD4Biomedicines · 2021
    Article
  14. Article
  15. Article
  16. Anti-EGFR treatment effects on laryngeal cancer stem cells.American journal of translational research · 2021
    Article
  17. Review
  18. Article
  19. The role of CD133 expression of cancer stem cells on radiotherapy response in early stage glottic cancers.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2020
    Article
  20. 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

7 authors at 2 institutions in 2 countries.

Raissa Borges CurtarelliHealth Sciences Center, Federal University of Santa Catarina, Reitor João David Ferreira Lima Campus, Florianopolis, Santa Catarina, Zip Code 88040-900, Brazil.
Jussara Maria GonçalvesHealth Sciences Center, Federal University of Santa Catarina, Reitor João David Ferreira Lima Campus, Florianopolis, Santa Catarina, Zip Code 88040-900, Brazil. jussara.m@posgrad.ufsc.br.ORCID http://orcid.org/0000-0003-4030-9398
Luciane Geanini Pena Dos SantosHealth Sciences Center, Federal University of Santa Catarina, Reitor João David Ferreira Lima Campus, Florianopolis, Santa Catarina, Zip Code 88040-900, Brazil.
Maria Gorete SaviUniversity Library, Federal University of Santa Catarina, Florianopolis, Santa Catarina, Brazil.
Jacques Eduardo NörDepartment of Cariology, Restorative Sciences, and Endodontics, University of Michigan School of Dentistry, Ann Arbor, MI, USA.
Luis André Mendonça MezzomoDepartment of Dentistry, Health Sciences Center, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
Mabel Mariela Rodríguez CordeiroDepartment of Morphological Sciences, Health Sciences Center, Federal University of Santa Catarina, Trindade, Florianópolis, Santa Catarina, Brazil.
Universidade Federal de Santa Catarina · BRUniversity of Michigan · US

Funding

Salivary gland cancer stem cellsR01DE021139 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jacques Eduardo Nor · 2011 to 2026
$5.8M
6 · The paper itself

Abstract

Malignant neoplasms may be composed of several cell groups, including cancer stem cells (CSC). These cells have been related with the capacity of metastasis, relapse and resistance to multiple drugs during chemotherapy. This study aims to identify CSC biomarkers and their expression pattern in human head and neck carcinomas. This study was conducted following the PRISMA checklist. The search for articles was carried out in five databases (PubMed, Scopus, Web of Science, Lilacs and Scielo). The articles found were selected in two phases: 1) reading the titles and / or abstract and 2) reading the full text. At the end, the selected articles were evaluated by QUADAS-2. Most studies evaluated oral neoplastic tissues and, as a control, samples of normal local mucosa. All studies performed immunohistochemistry as a method of immunolocalization and some also applied immunofluorescence. The most commonly used biomarker was CD44. However, other such as Sox2, Oct4, Nestin, Nanog, BMI1, ALDH1, CD133 and CD166 were also found. Several biomarkers were (ALDH1, Sox2, Oct4, ABCB5, AGR2 and TAZ) correlated with clinical characteristics of the tumor, such as staging, tumor size and lymph node metastasis. These data reinforce the CSC theory and favor the use of these biomarkers as possible determinants of prognosis.

Indexed as

Head and Neck NeoplasmsNeoplastic Stem CellsBiomarkers, TumorHumansLymphatic MetastasisNeoplasm StagingPrognosisBiomarkers, TumorBiological tumor markersCancer stem cellsHead and neck cancerOral CancerStem cells

Identifiers

PMID30076557
OpenAlexW2887150021

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.