Absolute quantitative proteomics using the total protein approach to identify novel clinical immunohistochemical markers in renal neoplasms
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/125105 |
Resumo: | PM003/2016).) .. This project utilized the University of Pittsburgh Hillman Cancer Center shared resource facilities (Cancer Genomics Facility and The Health Science Tissue Bank) supported in part by award P30CA047904 (Dr. W. LaFramboise and R. Dhir). |
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Absolute quantitative proteomics using the total protein approach to identify novel clinical immunohistochemical markers in renal neoplasmsMass spectrometry-based proteomicsRenal neoplasms, ImmunohistochemistryTissue micro-array (TMA)Total protein approach (TPA)Medicine(all)SDG 3 - Good Health and Well-beingPM003/2016).) .. This project utilized the University of Pittsburgh Hillman Cancer Center shared resource facilities (Cancer Genomics Facility and The Health Science Tissue Bank) supported in part by award P30CA047904 (Dr. W. LaFramboise and R. Dhir).Background: Renal neoplasms encompass a variety of malignant and benign tumors, including many with shared characteristics. The diagnosis of these renal neoplasms remains challenging with currently available tools. In this work, we demonstrate the total protein approach (TPA) based on high-resolution mass spectrometry (MS) as a tool to improve the accuracy of renal neoplasm diagnosis. Methods: Frozen tissue biopsies of human renal tissues [clear cell renal cell carcinoma (n = 7), papillary renal cell carcinoma (n = 5), chromophobe renal cell carcinoma (n = 5), and renal oncocytoma (n = 5)] were collected for proteome analysis. Normal adjacent renal tissue (NAT, n = 5) was used as a control. Proteins were extracted and digested using trypsin, and the digested proteomes were analyzed by label-free high-resolution MS (nanoLC-ESI-HR-MS/MS). Quantitative analysis was performed by comparison between protein abundances of tumors and NAT specimens, and the label-free and standard-free TPA was used to obtain absolute protein concentrations. Results: A total of 205 differentially expressed proteins with the potential to distinguish the renal neoplasms were found. Of these proteins, a TPA-based panel of 24, including known and new biomarkers, was selected as the best candidates to differentiate the neoplasms. As proof of concept, the diagnostic potential of PLIN2, TUBB3, LAMP1, and HK1 was validated using semi-quantitative immunohistochemistry with a total of 128 samples assessed on tissue micro-arrays. Conclusions: We demonstrate the utility of combining high-resolution MS and the TPA as potential new diagnostic tool in the pathology of renal neoplasms. A similar TPA approach may be implemented in any cancer study with solid biopsies.DQ - Departamento de QuímicaLAQV@REQUIMTERUNJorge, SusanaCapelo, José L.LaFramboise, WilliamSatturwar, SwatiKorentzelos, DimitriosBastacky, SheldonQuiroga-Garza, GabrielaDhir, RajivWiśniewski, Jacek R.Lodeiro, CarlosSantos, Hugo M.2021-09-24T02:26:27Z2021-122021-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/125105eng1741-7015PURE: 33890664https://doi.org/10.1186/s12916-021-02071-9info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:06:19Zoai:run.unl.pt:10362/125105Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:45:40.321103Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Absolute quantitative proteomics using the total protein approach to identify novel clinical immunohistochemical markers in renal neoplasms |
title |
Absolute quantitative proteomics using the total protein approach to identify novel clinical immunohistochemical markers in renal neoplasms |
spellingShingle |
Absolute quantitative proteomics using the total protein approach to identify novel clinical immunohistochemical markers in renal neoplasms Jorge, Susana Mass spectrometry-based proteomics Renal neoplasms, Immunohistochemistry Tissue micro-array (TMA) Total protein approach (TPA) Medicine(all) SDG 3 - Good Health and Well-being |
title_short |
Absolute quantitative proteomics using the total protein approach to identify novel clinical immunohistochemical markers in renal neoplasms |
title_full |
Absolute quantitative proteomics using the total protein approach to identify novel clinical immunohistochemical markers in renal neoplasms |
title_fullStr |
Absolute quantitative proteomics using the total protein approach to identify novel clinical immunohistochemical markers in renal neoplasms |
title_full_unstemmed |
Absolute quantitative proteomics using the total protein approach to identify novel clinical immunohistochemical markers in renal neoplasms |
title_sort |
Absolute quantitative proteomics using the total protein approach to identify novel clinical immunohistochemical markers in renal neoplasms |
author |
Jorge, Susana |
author_facet |
Jorge, Susana Capelo, José L. LaFramboise, William Satturwar, Swati Korentzelos, Dimitrios Bastacky, Sheldon Quiroga-Garza, Gabriela Dhir, Rajiv Wiśniewski, Jacek R. Lodeiro, Carlos Santos, Hugo M. |
author_role |
author |
author2 |
Capelo, José L. LaFramboise, William Satturwar, Swati Korentzelos, Dimitrios Bastacky, Sheldon Quiroga-Garza, Gabriela Dhir, Rajiv Wiśniewski, Jacek R. Lodeiro, Carlos Santos, Hugo M. |
author2_role |
author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
DQ - Departamento de Química LAQV@REQUIMTE RUN |
dc.contributor.author.fl_str_mv |
Jorge, Susana Capelo, José L. LaFramboise, William Satturwar, Swati Korentzelos, Dimitrios Bastacky, Sheldon Quiroga-Garza, Gabriela Dhir, Rajiv Wiśniewski, Jacek R. Lodeiro, Carlos Santos, Hugo M. |
dc.subject.por.fl_str_mv |
Mass spectrometry-based proteomics Renal neoplasms, Immunohistochemistry Tissue micro-array (TMA) Total protein approach (TPA) Medicine(all) SDG 3 - Good Health and Well-being |
topic |
Mass spectrometry-based proteomics Renal neoplasms, Immunohistochemistry Tissue micro-array (TMA) Total protein approach (TPA) Medicine(all) SDG 3 - Good Health and Well-being |
description |
PM003/2016).) .. This project utilized the University of Pittsburgh Hillman Cancer Center shared resource facilities (Cancer Genomics Facility and The Health Science Tissue Bank) supported in part by award P30CA047904 (Dr. W. LaFramboise and R. Dhir). |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-24T02:26:27Z 2021-12 2021-12-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/125105 |
url |
http://hdl.handle.net/10362/125105 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1741-7015 PURE: 33890664 https://doi.org/10.1186/s12916-021-02071-9 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138061239451648 |