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Candidate biomarkers for treatment benefit from sunitinib in patients with advanced renal cell carcinoma using mass spectrometry-based (phospho)proteomics

The tyrosine kinase inhibitor sunitinib is an effective first-line treatment for patients with advanced renal cell carcinoma (RCC). Hypothesizing that a functional read-out by mass spectrometry-based (phospho, p-)proteomics will identify predictive biomarkers for treatment outcome of sunitinib, tumo...

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Autores principales: van der Wijngaart, Hanneke, Beekhof, Robin, Knol, Jaco C., Henneman, Alex A., de Goeij-de Haas, Richard, Piersma, Sander R., Pham, Thang V., Jimenez, Connie R., Verheul, Henk M. W., Labots, Mariette
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631096/
https://www.ncbi.nlm.nih.gov/pubmed/37940875
http://dx.doi.org/10.1186/s12014-023-09437-6
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author van der Wijngaart, Hanneke
Beekhof, Robin
Knol, Jaco C.
Henneman, Alex A.
de Goeij-de Haas, Richard
Piersma, Sander R.
Pham, Thang V.
Jimenez, Connie R.
Verheul, Henk M. W.
Labots, Mariette
author_facet van der Wijngaart, Hanneke
Beekhof, Robin
Knol, Jaco C.
Henneman, Alex A.
de Goeij-de Haas, Richard
Piersma, Sander R.
Pham, Thang V.
Jimenez, Connie R.
Verheul, Henk M. W.
Labots, Mariette
author_sort van der Wijngaart, Hanneke
collection PubMed
description The tyrosine kinase inhibitor sunitinib is an effective first-line treatment for patients with advanced renal cell carcinoma (RCC). Hypothesizing that a functional read-out by mass spectrometry-based (phospho, p-)proteomics will identify predictive biomarkers for treatment outcome of sunitinib, tumor tissues of 26 RCC patients were analyzed. Eight patients had primary resistant (RES) and 18 sensitive (SENS) RCC. A 78 phosphosite signature (p < 0.05, fold-change > 2) was identified; 22 p-sites were upregulated in RES (unique in RES: BCAR3, NOP58, EIF4A2, GDI1) and 56 in SENS (35 unique). EIF4A1/EIF4A2 were differentially expressed in RES at the (p-)proteome and, in an independent cohort, transcriptome level. Inferred kinase activity of MAPK3 (p = 0.026) and EGFR (p = 0.045) as determined by INKA was higher in SENS. Posttranslational modifications signature enrichment analysis showed that different p-site-centric signatures were enriched (p < 0.05), of which FGF1 and prolactin pathways in RES and, in SENS, vanadate and thrombin treatment pathways, were most significant. In conclusion, the RCC (phospho)proteome revealed differential p-sites and kinase activities associated with sunitinib resistance and sensitivity. Independent validation is warranted to develop an assay for upfront identification of patients who are intrinsically resistant to sunitinib. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12014-023-09437-6.
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spelling pubmed-106310962023-11-08 Candidate biomarkers for treatment benefit from sunitinib in patients with advanced renal cell carcinoma using mass spectrometry-based (phospho)proteomics van der Wijngaart, Hanneke Beekhof, Robin Knol, Jaco C. Henneman, Alex A. de Goeij-de Haas, Richard Piersma, Sander R. Pham, Thang V. Jimenez, Connie R. Verheul, Henk M. W. Labots, Mariette Clin Proteomics Research The tyrosine kinase inhibitor sunitinib is an effective first-line treatment for patients with advanced renal cell carcinoma (RCC). Hypothesizing that a functional read-out by mass spectrometry-based (phospho, p-)proteomics will identify predictive biomarkers for treatment outcome of sunitinib, tumor tissues of 26 RCC patients were analyzed. Eight patients had primary resistant (RES) and 18 sensitive (SENS) RCC. A 78 phosphosite signature (p < 0.05, fold-change > 2) was identified; 22 p-sites were upregulated in RES (unique in RES: BCAR3, NOP58, EIF4A2, GDI1) and 56 in SENS (35 unique). EIF4A1/EIF4A2 were differentially expressed in RES at the (p-)proteome and, in an independent cohort, transcriptome level. Inferred kinase activity of MAPK3 (p = 0.026) and EGFR (p = 0.045) as determined by INKA was higher in SENS. Posttranslational modifications signature enrichment analysis showed that different p-site-centric signatures were enriched (p < 0.05), of which FGF1 and prolactin pathways in RES and, in SENS, vanadate and thrombin treatment pathways, were most significant. In conclusion, the RCC (phospho)proteome revealed differential p-sites and kinase activities associated with sunitinib resistance and sensitivity. Independent validation is warranted to develop an assay for upfront identification of patients who are intrinsically resistant to sunitinib. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12014-023-09437-6. BioMed Central 2023-11-08 /pmc/articles/PMC10631096/ /pubmed/37940875 http://dx.doi.org/10.1186/s12014-023-09437-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
van der Wijngaart, Hanneke
Beekhof, Robin
Knol, Jaco C.
Henneman, Alex A.
de Goeij-de Haas, Richard
Piersma, Sander R.
Pham, Thang V.
Jimenez, Connie R.
Verheul, Henk M. W.
Labots, Mariette
Candidate biomarkers for treatment benefit from sunitinib in patients with advanced renal cell carcinoma using mass spectrometry-based (phospho)proteomics
title Candidate biomarkers for treatment benefit from sunitinib in patients with advanced renal cell carcinoma using mass spectrometry-based (phospho)proteomics
title_full Candidate biomarkers for treatment benefit from sunitinib in patients with advanced renal cell carcinoma using mass spectrometry-based (phospho)proteomics
title_fullStr Candidate biomarkers for treatment benefit from sunitinib in patients with advanced renal cell carcinoma using mass spectrometry-based (phospho)proteomics
title_full_unstemmed Candidate biomarkers for treatment benefit from sunitinib in patients with advanced renal cell carcinoma using mass spectrometry-based (phospho)proteomics
title_short Candidate biomarkers for treatment benefit from sunitinib in patients with advanced renal cell carcinoma using mass spectrometry-based (phospho)proteomics
title_sort candidate biomarkers for treatment benefit from sunitinib in patients with advanced renal cell carcinoma using mass spectrometry-based (phospho)proteomics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631096/
https://www.ncbi.nlm.nih.gov/pubmed/37940875
http://dx.doi.org/10.1186/s12014-023-09437-6
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