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Prognostic molecular biomarkers in chordomas: A systematic review and identification of clinically usable biomarker panels

INTRODUCTION AND OBJECTIVE: Despite the improvements in management and treatment of chordomas over time, the risk of disease recurrence remains high. Consequently, there is a push to develop effective systemic therapeutics for newly diagnosed and recurrent disease. In order to tailor treatment for i...

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Autores principales: Rubino, Franco, Alvarez-Breckenridge, Christopher, Akdemir, Kadir, Conley, Anthony P., Bishop, Andrew J., Wang, Wei-Lien, Lazar, Alexander J., Rhines, Laurence D., DeMonte, Franco, Raza, Shaan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557284/
https://www.ncbi.nlm.nih.gov/pubmed/36248987
http://dx.doi.org/10.3389/fonc.2022.997506
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author Rubino, Franco
Alvarez-Breckenridge, Christopher
Akdemir, Kadir
Conley, Anthony P.
Bishop, Andrew J.
Wang, Wei-Lien
Lazar, Alexander J.
Rhines, Laurence D.
DeMonte, Franco
Raza, Shaan M.
author_facet Rubino, Franco
Alvarez-Breckenridge, Christopher
Akdemir, Kadir
Conley, Anthony P.
Bishop, Andrew J.
Wang, Wei-Lien
Lazar, Alexander J.
Rhines, Laurence D.
DeMonte, Franco
Raza, Shaan M.
author_sort Rubino, Franco
collection PubMed
description INTRODUCTION AND OBJECTIVE: Despite the improvements in management and treatment of chordomas over time, the risk of disease recurrence remains high. Consequently, there is a push to develop effective systemic therapeutics for newly diagnosed and recurrent disease. In order to tailor treatment for individual chordoma patients and develop effective surveillance strategies, suitable clinical biomarkers need to be identified. The objective of this study was to systematically review all prognostic biomarkers for chordomas reported to date in order to classify them according to localization, study design and statistical analysis. METHODS: Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we systematically reviewed published studies reporting biomarkers that correlated with clinical outcomes. We included time-to-event studies that evaluated biomarkers in skull base or spine chordomas. To be included in our review, the study must have analyzed the outcomes with univariate and/or multivariate methods (log-rank test or a Cox-regression model). RESULTS: We included 68 studies, of which only 5 were prospective studies. Overall, 103 biomarkers were analyzed in 3183 patients. According to FDA classification, 85 were molecular biomarkers (82.5%) mainly located in nucleus and cytoplasm (48% and 27%, respectively). Thirty-four studies analyzed biomarkers with Cox-regression model. Within these studies, 32 biomarkers (31%) and 22 biomarkers (21%) were independent prognostic factors for PFS and OS, respectively. CONCLUSION: Our analysis identified a list of 13 biomarkers correlating with tumor control rates and survival. The future point will be gathering all these results to guide the clinical validation for a chordoma biomarker panel. Our identified biomarkers have strengths and weaknesses according to FDA’s guidelines, some are affordable, have a low-invasive collection method and can be easily measured in any health care setting (RDW and D-dimer), but others molecular biomarkers need specialized assay techniques (microRNAs, PD-1 pathway markers, CDKs and somatic chromosome deletions were more chordoma-specific). A focused list of biomarkers that correlate with local recurrence, metastatic spread and survival might be a cornerstone to determine the need of adjuvant therapies.
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spelling pubmed-95572842022-10-14 Prognostic molecular biomarkers in chordomas: A systematic review and identification of clinically usable biomarker panels Rubino, Franco Alvarez-Breckenridge, Christopher Akdemir, Kadir Conley, Anthony P. Bishop, Andrew J. Wang, Wei-Lien Lazar, Alexander J. Rhines, Laurence D. DeMonte, Franco Raza, Shaan M. Front Oncol Oncology INTRODUCTION AND OBJECTIVE: Despite the improvements in management and treatment of chordomas over time, the risk of disease recurrence remains high. Consequently, there is a push to develop effective systemic therapeutics for newly diagnosed and recurrent disease. In order to tailor treatment for individual chordoma patients and develop effective surveillance strategies, suitable clinical biomarkers need to be identified. The objective of this study was to systematically review all prognostic biomarkers for chordomas reported to date in order to classify them according to localization, study design and statistical analysis. METHODS: Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we systematically reviewed published studies reporting biomarkers that correlated with clinical outcomes. We included time-to-event studies that evaluated biomarkers in skull base or spine chordomas. To be included in our review, the study must have analyzed the outcomes with univariate and/or multivariate methods (log-rank test or a Cox-regression model). RESULTS: We included 68 studies, of which only 5 were prospective studies. Overall, 103 biomarkers were analyzed in 3183 patients. According to FDA classification, 85 were molecular biomarkers (82.5%) mainly located in nucleus and cytoplasm (48% and 27%, respectively). Thirty-four studies analyzed biomarkers with Cox-regression model. Within these studies, 32 biomarkers (31%) and 22 biomarkers (21%) were independent prognostic factors for PFS and OS, respectively. CONCLUSION: Our analysis identified a list of 13 biomarkers correlating with tumor control rates and survival. The future point will be gathering all these results to guide the clinical validation for a chordoma biomarker panel. Our identified biomarkers have strengths and weaknesses according to FDA’s guidelines, some are affordable, have a low-invasive collection method and can be easily measured in any health care setting (RDW and D-dimer), but others molecular biomarkers need specialized assay techniques (microRNAs, PD-1 pathway markers, CDKs and somatic chromosome deletions were more chordoma-specific). A focused list of biomarkers that correlate with local recurrence, metastatic spread and survival might be a cornerstone to determine the need of adjuvant therapies. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9557284/ /pubmed/36248987 http://dx.doi.org/10.3389/fonc.2022.997506 Text en Copyright © 2022 Rubino, Alvarez-Breckenridge, Akdemir, Conley, Bishop, Wang, Lazar, Rhines, DeMonte and Raza https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Rubino, Franco
Alvarez-Breckenridge, Christopher
Akdemir, Kadir
Conley, Anthony P.
Bishop, Andrew J.
Wang, Wei-Lien
Lazar, Alexander J.
Rhines, Laurence D.
DeMonte, Franco
Raza, Shaan M.
Prognostic molecular biomarkers in chordomas: A systematic review and identification of clinically usable biomarker panels
title Prognostic molecular biomarkers in chordomas: A systematic review and identification of clinically usable biomarker panels
title_full Prognostic molecular biomarkers in chordomas: A systematic review and identification of clinically usable biomarker panels
title_fullStr Prognostic molecular biomarkers in chordomas: A systematic review and identification of clinically usable biomarker panels
title_full_unstemmed Prognostic molecular biomarkers in chordomas: A systematic review and identification of clinically usable biomarker panels
title_short Prognostic molecular biomarkers in chordomas: A systematic review and identification of clinically usable biomarker panels
title_sort prognostic molecular biomarkers in chordomas: a systematic review and identification of clinically usable biomarker panels
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9557284/
https://www.ncbi.nlm.nih.gov/pubmed/36248987
http://dx.doi.org/10.3389/fonc.2022.997506
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