Osteosarcoma and miRNAs: combining in silico miRNA analysis and proteomic profiling in search of potential diagnostic panels
- Autores
- Valenzuela Alvarez, Matias; Matos, Bruno; Correa, Alejandro; Bolontrade, Marcela Fabiana
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Osteosarcoma (OS) is the most frequent bone tumor in pediatrics and presents two critical clinical challenges, metastasis and chemoresistance. Better diagnostic and prognostic tools for OS disease progression are in need. Here we propose the use of micro-RNAs (miRNAs) as alternative diagnostic biomarkers for OS. MiRNAs are small and stable non-coding RNAs that can be obtained from liquid biopsies of different body fluids such as plasma, that in the last years have been proposed as diagnostic and prognostic biomarkers. The aim of this work was to assess an OS miRNAs database and contrast it with our own molecular and functional profiling in an OS model with metastatic behavior, in order to propose possible miRNAs as biomarker candidates. We analyzed circulating miRNAs present in the plasma of 15 healthy donors and 20 OS patients (10 with localized OS and 10 with metastatic OS) using the miRNAs dataset GSE65071. Our analysis revealed that miR-34a-5p, -200a-3p, -582-5p, -624-5p and let-7a-3p were upregulated in OS patients plasma as compared to healthy donors (fold change: 0.43; 0.78; 0.78; 0.95; 0.5 respectively; p < 0.0001), while miR-27a-3p and -221-3p were found downregulated in the plasma of OS patients as compared to healthy donors (fold change: -0.73; -2.64 respectively; p < 0.0001). There was no difference in expression between localized and metastatic OS for these miRNAs. Bioinformatics analysis of the target genes for these miRNAs revealed that they are implicated in the regulation of different cancer-related biological pathways like ECM- receptor interaction, cell cycle control and EMT, in coincidence with our proteomic approach on metastatic and non-metastatic OS cells. These results strengthen the in-silico search and constitute a proof of concept on the use of this cross-omic approach as a tool for the identification of potential miRNAs as liquid biopsy biomarkers for diseases characterized by scarce extensive population-based data.
Fil: Valenzuela Alvarez, Matias. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina
Fil: Matos, Bruno. No especifíca;
Fil: Correa, Alejandro. No especifíca;
Fil: Bolontrade, Marcela Fabiana. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina
LXIII Reunión Anual de la Sociedad Argentina de Investigación Clínica (SAIC), LXVIII Reunión Anual de la Sociedad Argentina de Inmunología (SAI), Reunión Anual de la Sociedad Argentina de Fisiología (SAFIS)
Argentina
Sociedad Argentina de Investigación Clínica
Sociedad Argentina de Inmunología
Sociedad Argentina de Fisiología - Materia
-
OSTEOSARCOMA
CIRCULATING MIRNA
CHEMORESISTANCE
POTENTIAL BIOMARKERS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/154348
Ver los metadatos del registro completo
id |
CONICETDig_c3485375da3db6eda91168328a8c8343 |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/154348 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
Osteosarcoma and miRNAs: combining in silico miRNA analysis and proteomic profiling in search of potential diagnostic panelsValenzuela Alvarez, MatiasMatos, BrunoCorrea, AlejandroBolontrade, Marcela FabianaOSTEOSARCOMACIRCULATING MIRNACHEMORESISTANCEPOTENTIAL BIOMARKERShttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Osteosarcoma (OS) is the most frequent bone tumor in pediatrics and presents two critical clinical challenges, metastasis and chemoresistance. Better diagnostic and prognostic tools for OS disease progression are in need. Here we propose the use of micro-RNAs (miRNAs) as alternative diagnostic biomarkers for OS. MiRNAs are small and stable non-coding RNAs that can be obtained from liquid biopsies of different body fluids such as plasma, that in the last years have been proposed as diagnostic and prognostic biomarkers. The aim of this work was to assess an OS miRNAs database and contrast it with our own molecular and functional profiling in an OS model with metastatic behavior, in order to propose possible miRNAs as biomarker candidates. We analyzed circulating miRNAs present in the plasma of 15 healthy donors and 20 OS patients (10 with localized OS and 10 with metastatic OS) using the miRNAs dataset GSE65071. Our analysis revealed that miR-34a-5p, -200a-3p, -582-5p, -624-5p and let-7a-3p were upregulated in OS patients plasma as compared to healthy donors (fold change: 0.43; 0.78; 0.78; 0.95; 0.5 respectively; p < 0.0001), while miR-27a-3p and -221-3p were found downregulated in the plasma of OS patients as compared to healthy donors (fold change: -0.73; -2.64 respectively; p < 0.0001). There was no difference in expression between localized and metastatic OS for these miRNAs. Bioinformatics analysis of the target genes for these miRNAs revealed that they are implicated in the regulation of different cancer-related biological pathways like ECM- receptor interaction, cell cycle control and EMT, in coincidence with our proteomic approach on metastatic and non-metastatic OS cells. These results strengthen the in-silico search and constitute a proof of concept on the use of this cross-omic approach as a tool for the identification of potential miRNAs as liquid biopsy biomarkers for diseases characterized by scarce extensive population-based data.Fil: Valenzuela Alvarez, Matias. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; ArgentinaFil: Matos, Bruno. No especifíca;Fil: Correa, Alejandro. No especifíca;Fil: Bolontrade, Marcela Fabiana. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; ArgentinaLXIII Reunión Anual de la Sociedad Argentina de Investigación Clínica (SAIC), LXVIII Reunión Anual de la Sociedad Argentina de Inmunología (SAI), Reunión Anual de la Sociedad Argentina de Fisiología (SAFIS)ArgentinaSociedad Argentina de Investigación ClínicaSociedad Argentina de InmunologíaSociedad Argentina de FisiologíaFundación Revista Medicina2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectReuniónJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/154348Osteosarcoma and miRNAs: combining in silico miRNA analysis and proteomic profiling in search of potential diagnostic panels; LXIII Reunión Anual de la Sociedad Argentina de Investigación Clínica (SAIC), LXVIII Reunión Anual de la Sociedad Argentina de Inmunología (SAI), Reunión Anual de la Sociedad Argentina de Fisiología (SAFIS); Argentina; 2020; 1-50025-7680CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://inmunologia.org.ar/revista-medicina-2020/Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:47:03Zoai:ri.conicet.gov.ar:11336/154348instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:47:03.864CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Osteosarcoma and miRNAs: combining in silico miRNA analysis and proteomic profiling in search of potential diagnostic panels |
title |
Osteosarcoma and miRNAs: combining in silico miRNA analysis and proteomic profiling in search of potential diagnostic panels |
spellingShingle |
Osteosarcoma and miRNAs: combining in silico miRNA analysis and proteomic profiling in search of potential diagnostic panels Valenzuela Alvarez, Matias OSTEOSARCOMA CIRCULATING MIRNA CHEMORESISTANCE POTENTIAL BIOMARKERS |
title_short |
Osteosarcoma and miRNAs: combining in silico miRNA analysis and proteomic profiling in search of potential diagnostic panels |
title_full |
Osteosarcoma and miRNAs: combining in silico miRNA analysis and proteomic profiling in search of potential diagnostic panels |
title_fullStr |
Osteosarcoma and miRNAs: combining in silico miRNA analysis and proteomic profiling in search of potential diagnostic panels |
title_full_unstemmed |
Osteosarcoma and miRNAs: combining in silico miRNA analysis and proteomic profiling in search of potential diagnostic panels |
title_sort |
Osteosarcoma and miRNAs: combining in silico miRNA analysis and proteomic profiling in search of potential diagnostic panels |
dc.creator.none.fl_str_mv |
Valenzuela Alvarez, Matias Matos, Bruno Correa, Alejandro Bolontrade, Marcela Fabiana |
author |
Valenzuela Alvarez, Matias |
author_facet |
Valenzuela Alvarez, Matias Matos, Bruno Correa, Alejandro Bolontrade, Marcela Fabiana |
author_role |
author |
author2 |
Matos, Bruno Correa, Alejandro Bolontrade, Marcela Fabiana |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
OSTEOSARCOMA CIRCULATING MIRNA CHEMORESISTANCE POTENTIAL BIOMARKERS |
topic |
OSTEOSARCOMA CIRCULATING MIRNA CHEMORESISTANCE POTENTIAL BIOMARKERS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.1 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
Osteosarcoma (OS) is the most frequent bone tumor in pediatrics and presents two critical clinical challenges, metastasis and chemoresistance. Better diagnostic and prognostic tools for OS disease progression are in need. Here we propose the use of micro-RNAs (miRNAs) as alternative diagnostic biomarkers for OS. MiRNAs are small and stable non-coding RNAs that can be obtained from liquid biopsies of different body fluids such as plasma, that in the last years have been proposed as diagnostic and prognostic biomarkers. The aim of this work was to assess an OS miRNAs database and contrast it with our own molecular and functional profiling in an OS model with metastatic behavior, in order to propose possible miRNAs as biomarker candidates. We analyzed circulating miRNAs present in the plasma of 15 healthy donors and 20 OS patients (10 with localized OS and 10 with metastatic OS) using the miRNAs dataset GSE65071. Our analysis revealed that miR-34a-5p, -200a-3p, -582-5p, -624-5p and let-7a-3p were upregulated in OS patients plasma as compared to healthy donors (fold change: 0.43; 0.78; 0.78; 0.95; 0.5 respectively; p < 0.0001), while miR-27a-3p and -221-3p were found downregulated in the plasma of OS patients as compared to healthy donors (fold change: -0.73; -2.64 respectively; p < 0.0001). There was no difference in expression between localized and metastatic OS for these miRNAs. Bioinformatics analysis of the target genes for these miRNAs revealed that they are implicated in the regulation of different cancer-related biological pathways like ECM- receptor interaction, cell cycle control and EMT, in coincidence with our proteomic approach on metastatic and non-metastatic OS cells. These results strengthen the in-silico search and constitute a proof of concept on the use of this cross-omic approach as a tool for the identification of potential miRNAs as liquid biopsy biomarkers for diseases characterized by scarce extensive population-based data. Fil: Valenzuela Alvarez, Matias. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina Fil: Matos, Bruno. No especifíca; Fil: Correa, Alejandro. No especifíca; Fil: Bolontrade, Marcela Fabiana. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Oficina de Coordinacion Administrativa Houssay. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Hospital Italiano. Instituto de Medicina Traslacional E Ingenieria Biomedica. - Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional E Ingenieria Biomedica.; Argentina LXIII Reunión Anual de la Sociedad Argentina de Investigación Clínica (SAIC), LXVIII Reunión Anual de la Sociedad Argentina de Inmunología (SAI), Reunión Anual de la Sociedad Argentina de Fisiología (SAFIS) Argentina Sociedad Argentina de Investigación Clínica Sociedad Argentina de Inmunología Sociedad Argentina de Fisiología |
description |
Osteosarcoma (OS) is the most frequent bone tumor in pediatrics and presents two critical clinical challenges, metastasis and chemoresistance. Better diagnostic and prognostic tools for OS disease progression are in need. Here we propose the use of micro-RNAs (miRNAs) as alternative diagnostic biomarkers for OS. MiRNAs are small and stable non-coding RNAs that can be obtained from liquid biopsies of different body fluids such as plasma, that in the last years have been proposed as diagnostic and prognostic biomarkers. The aim of this work was to assess an OS miRNAs database and contrast it with our own molecular and functional profiling in an OS model with metastatic behavior, in order to propose possible miRNAs as biomarker candidates. We analyzed circulating miRNAs present in the plasma of 15 healthy donors and 20 OS patients (10 with localized OS and 10 with metastatic OS) using the miRNAs dataset GSE65071. Our analysis revealed that miR-34a-5p, -200a-3p, -582-5p, -624-5p and let-7a-3p were upregulated in OS patients plasma as compared to healthy donors (fold change: 0.43; 0.78; 0.78; 0.95; 0.5 respectively; p < 0.0001), while miR-27a-3p and -221-3p were found downregulated in the plasma of OS patients as compared to healthy donors (fold change: -0.73; -2.64 respectively; p < 0.0001). There was no difference in expression between localized and metastatic OS for these miRNAs. Bioinformatics analysis of the target genes for these miRNAs revealed that they are implicated in the regulation of different cancer-related biological pathways like ECM- receptor interaction, cell cycle control and EMT, in coincidence with our proteomic approach on metastatic and non-metastatic OS cells. These results strengthen the in-silico search and constitute a proof of concept on the use of this cross-omic approach as a tool for the identification of potential miRNAs as liquid biopsy biomarkers for diseases characterized by scarce extensive population-based data. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/conferenceObject Reunión Journal http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
status_str |
publishedVersion |
format |
conferenceObject |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/154348 Osteosarcoma and miRNAs: combining in silico miRNA analysis and proteomic profiling in search of potential diagnostic panels; LXIII Reunión Anual de la Sociedad Argentina de Investigación Clínica (SAIC), LXVIII Reunión Anual de la Sociedad Argentina de Inmunología (SAI), Reunión Anual de la Sociedad Argentina de Fisiología (SAFIS); Argentina; 2020; 1-5 0025-7680 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/154348 |
identifier_str_mv |
Osteosarcoma and miRNAs: combining in silico miRNA analysis and proteomic profiling in search of potential diagnostic panels; LXIII Reunión Anual de la Sociedad Argentina de Investigación Clínica (SAIC), LXVIII Reunión Anual de la Sociedad Argentina de Inmunología (SAI), Reunión Anual de la Sociedad Argentina de Fisiología (SAFIS); Argentina; 2020; 1-5 0025-7680 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://inmunologia.org.ar/revista-medicina-2020/ |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.coverage.none.fl_str_mv |
Internacional |
dc.publisher.none.fl_str_mv |
Fundación Revista Medicina |
publisher.none.fl_str_mv |
Fundación Revista Medicina |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
_version_ |
1844613467262156800 |
score |
13.070432 |