Glycolytic pathway candidate markers in the prognosis of oral squamous cell carcinoma: a systematic review with meta-analysis

Molecular changes that affect mitochondrial glycolysis have been associated with the maintenance of tumor cells. Some metabolic factors have already been described as predictors of disease severity and outcomes. This systematic review was conducted to answer the question: Is the glycolytic pathway c...

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Autores:
Mattos, Sergio
Diel, Leonardo Francisco
Bittencourt, Leonardo
Schnorr, Carlos Eduardo
Aurina Gonçalves, Francisca
Bernardi, L
LAMERS, MARCELO
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8764
Acceso en línea:
https://hdl.handle.net/11323/8764
https://repositorio.cuc.edu.co/
Palabra clave:
Oral cancer
Survival
Prognosis
Disease-free survival
Energy metabolism
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_bc7c3f0b99181965e7ae44c250e8d25c
oai_identifier_str oai:repositorio.cuc.edu.co:11323/8764
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repository_id_str
dc.title.spa.fl_str_mv Glycolytic pathway candidate markers in the prognosis of oral squamous cell carcinoma: a systematic review with meta-analysis
title Glycolytic pathway candidate markers in the prognosis of oral squamous cell carcinoma: a systematic review with meta-analysis
spellingShingle Glycolytic pathway candidate markers in the prognosis of oral squamous cell carcinoma: a systematic review with meta-analysis
Oral cancer
Survival
Prognosis
Disease-free survival
Energy metabolism
title_short Glycolytic pathway candidate markers in the prognosis of oral squamous cell carcinoma: a systematic review with meta-analysis
title_full Glycolytic pathway candidate markers in the prognosis of oral squamous cell carcinoma: a systematic review with meta-analysis
title_fullStr Glycolytic pathway candidate markers in the prognosis of oral squamous cell carcinoma: a systematic review with meta-analysis
title_full_unstemmed Glycolytic pathway candidate markers in the prognosis of oral squamous cell carcinoma: a systematic review with meta-analysis
title_sort Glycolytic pathway candidate markers in the prognosis of oral squamous cell carcinoma: a systematic review with meta-analysis
dc.creator.fl_str_mv Mattos, Sergio
Diel, Leonardo Francisco
Bittencourt, Leonardo
Schnorr, Carlos Eduardo
Aurina Gonçalves, Francisca
Bernardi, L
LAMERS, MARCELO
dc.contributor.author.spa.fl_str_mv Mattos, Sergio
Diel, Leonardo Francisco
Bittencourt, Leonardo
Schnorr, Carlos Eduardo
Aurina Gonçalves, Francisca
Bernardi, L
LAMERS, MARCELO
dc.subject.spa.fl_str_mv Oral cancer
Survival
Prognosis
Disease-free survival
Energy metabolism
topic Oral cancer
Survival
Prognosis
Disease-free survival
Energy metabolism
description Molecular changes that affect mitochondrial glycolysis have been associated with the maintenance of tumor cells. Some metabolic factors have already been described as predictors of disease severity and outcomes. This systematic review was conducted to answer the question: Is the glycolytic pathway correlated with the prognosis of oral squamous cell carcinoma (OSCC)? A search strategy was developed to retrieve studies in English from PubMed, Scopus, and ISI Web of Knowledge using keywords related to squamous cell carcinoma, survival, and glycolytic pathway, with no restriction of publication date. The search retrieved 1273 publications. After the titles and abstracts were analyzed, 27 studies met inclusion criteria. Studies were divided into groups according to two subtopics, glycolytic pathways and diagnosis, which describe the glycolytic profile of OSCC tumors. Several components of tumor energy metabolism found in this review are important predictors of survival of patients with OSCC.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-09-30T21:20:15Z
dc.date.available.none.fl_str_mv 2021-09-30T21:20:15Z
dc.date.issued.none.fl_str_mv 2021
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.issn.spa.fl_str_mv 0100-879X
1414-431X
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/8764
dc.identifier.doi.spa.fl_str_mv doi: 10.1590/1414-431X202010504
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 0100-879X
1414-431X
doi: 10.1590/1414-431X202010504
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/8764
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.references.spa.fl_str_mv 1. Hay N. Reprogramming glucose metabolism in cancer: can it be exploited for cancer therapy? Nat Rev Cancer 2016; 16: 635–649, doi: 10.1038/nrc.2016.77.
2. Ishikawa S, Sugimoto M, Kitabatake K, Sugano A, Nakamura M, Kaneko M, et al. Identification of salivary metabolomic biomarkers for oral cancer screening. Sci Rep 2016; 6: 31520, doi: 10.1038/srep31520.
3. Scully C, Bagan J. Oral squamous cell carcinoma overview. Oral Oncol 2009; 45: 301–308, doi: 10.1016/j.oraloncology. 2009.01.004.
4. Chen L, Yang Y, Liu S, Piao L, Zhang Y, Lin Z, et al. High expression of leucine zipper-EF-hand containing transmembrane protein 1 predicts poor prognosis in head and neck squamous cell carcinoma. BioMed Res Int 2014; 2014: 850316, doi: 10.1155/2014/850316.
5. Baffy G, Derdak Z, Robson SC. Mitochondrial recoupling: a novel therapeutic strategy for cancer? Br J Cancer 2011; 105: 469–474, doi: 10.1038/bjc.2011.245.
6. Martinez-Outschoorn UE, Peiris-Pagés M, Pestell RG, Sotgia F, Lisanti MP. Cancer metabolism: a therapeuticperspective. Nat Rev Clin Oncol 2017; 14: 11–31, doi: 10.1038/nrclinonc.2016.60.
7. Kurhanewicz J, Vigneron DB, Brindle K, Chekmenev EY, Comment A, Cunningham CH, et al. Analysis of cancer metabolism by imaging hyperpolarized nuclei: prospects for translation to clinical research. Neoplasia 2011; 13: 81–97, doi: 10.1593/neo.101102.
8. Tanaka T, Ishigamori R. Understanding carcinogenesis for fighting oral cancer. J Oncol 2011; 2011: 603740.
9. Vander Heiden MG. Targeting cancer metabolism: a therapeutic window opens. Nat Rev Drug Discov 2011; 10: 671–684, doi: 10.1038/nrd3504.
10. Cochran WG. The combination of estimates from different experiments. Biometrics 1954; 10: 101–129, doi: 10.2307/3001666.
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28. Joo YH, Yoo IR, Cho KJ, Park JO, Nam IC, Kim MS. Extracapsular spread and FDG PET/CT correlations in oral squamous cell carcinoma. Int J Oral Maxillofac Surg 2013; 42: 158–163, doi: 10.1016/j.ijom.2012.11.006.
29. Kunkel M, Helisch A, Reichert TE, Jeong JH, Buchholz HG, Benz P, et al. Clinical and prognostic value of [18F]FDGPET for surveillance of oral squamous cell carcinoma after surgical salvage therapy. Oral Oncol 2006; 42: 297–305, doi: 10.1016/j.oraloncology.2005.08.004.
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spelling Mattos, SergioDiel, Leonardo FranciscoBittencourt, LeonardoSchnorr, Carlos EduardoAurina Gonçalves, FranciscaBernardi, LLAMERS, MARCELO2021-09-30T21:20:15Z2021-09-30T21:20:15Z20210100-879X1414-431Xhttps://hdl.handle.net/11323/8764doi: 10.1590/1414-431X202010504Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Molecular changes that affect mitochondrial glycolysis have been associated with the maintenance of tumor cells. Some metabolic factors have already been described as predictors of disease severity and outcomes. This systematic review was conducted to answer the question: Is the glycolytic pathway correlated with the prognosis of oral squamous cell carcinoma (OSCC)? A search strategy was developed to retrieve studies in English from PubMed, Scopus, and ISI Web of Knowledge using keywords related to squamous cell carcinoma, survival, and glycolytic pathway, with no restriction of publication date. The search retrieved 1273 publications. After the titles and abstracts were analyzed, 27 studies met inclusion criteria. Studies were divided into groups according to two subtopics, glycolytic pathways and diagnosis, which describe the glycolytic profile of OSCC tumors. Several components of tumor energy metabolism found in this review are important predictors of survival of patients with OSCC.Mattos, Sergio-will be generated-orcid-0000-0001-6628-8797-600Diel, Leonardo Francisco-will be generated-orcid-0000-0003-1526-2575-600Bittencourt, Leonardo-will be generated-orcid-0000-0001-9649-556X-600Schnorr, Carlos Eduardo-will be generated-orcid-0000-0002-2047-2107-600Aurina Gonçalves, Francisca-will be generated-orcid-0000-0001-8019-1684-600Bernardi, LLAMERS, MARCELO-will be generated-orcid-0000-0001-5296-5662-600application/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Brazilian Journal of Medical and Biological Researchhttps://pubmed.ncbi.nlm.nih.gov/33503201/Oral cancerSurvivalPrognosisDisease-free survivalEnergy metabolismGlycolytic pathway candidate markers in the prognosis of oral squamous cell carcinoma: a systematic review with meta-analysisArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion1. Hay N. Reprogramming glucose metabolism in cancer: can it be exploited for cancer therapy? Nat Rev Cancer 2016; 16: 635–649, doi: 10.1038/nrc.2016.77.2. Ishikawa S, Sugimoto M, Kitabatake K, Sugano A, Nakamura M, Kaneko M, et al. Identification of salivary metabolomic biomarkers for oral cancer screening. Sci Rep 2016; 6: 31520, doi: 10.1038/srep31520.3. Scully C, Bagan J. Oral squamous cell carcinoma overview. Oral Oncol 2009; 45: 301–308, doi: 10.1016/j.oraloncology. 2009.01.004.4. Chen L, Yang Y, Liu S, Piao L, Zhang Y, Lin Z, et al. High expression of leucine zipper-EF-hand containing transmembrane protein 1 predicts poor prognosis in head and neck squamous cell carcinoma. BioMed Res Int 2014; 2014: 850316, doi: 10.1155/2014/850316.5. Baffy G, Derdak Z, Robson SC. Mitochondrial recoupling: a novel therapeutic strategy for cancer? Br J Cancer 2011; 105: 469–474, doi: 10.1038/bjc.2011.245.6. Martinez-Outschoorn UE, Peiris-Pagés M, Pestell RG, Sotgia F, Lisanti MP. Cancer metabolism: a therapeuticperspective. Nat Rev Clin Oncol 2017; 14: 11–31, doi: 10.1038/nrclinonc.2016.60.7. Kurhanewicz J, Vigneron DB, Brindle K, Chekmenev EY, Comment A, Cunningham CH, et al. Analysis of cancer metabolism by imaging hyperpolarized nuclei: prospects for translation to clinical research. Neoplasia 2011; 13: 81–97, doi: 10.1593/neo.101102.8. Tanaka T, Ishigamori R. Understanding carcinogenesis for fighting oral cancer. J Oncol 2011; 2011: 603740.9. Vander Heiden MG. Targeting cancer metabolism: a therapeutic window opens. Nat Rev Drug Discov 2011; 10: 671–684, doi: 10.1038/nrd3504.10. Cochran WG. The combination of estimates from different experiments. Biometrics 1954; 10: 101–129, doi: 10.2307/3001666.11. Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ 2003; 327: 557–560, doi: 10.1136/bmj.327.7414.557.12. Chen SW, Chou CT, Chang CC, Li YJ, Chen ST, Lin IC, et al. 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