All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Next generation proteomics identifies a potential protein marker of poor response to tyrosine kinase inhibitors in metastatic renal cell carcinoma

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F23%3A00132334" target="_blank" >RIV/00216224:14310/23:00132334 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.eacr.org/conference/cellularbases2023/digital-abstracts/detail/5668" target="_blank" >https://www.eacr.org/conference/cellularbases2023/digital-abstracts/detail/5668</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Next generation proteomics identifies a potential protein marker of poor response to tyrosine kinase inhibitors in metastatic renal cell carcinoma

  • Original language description

    Metastatic renal cell carcinoma (mRCC) is a serious disease which represents one quarter of newly diagnosed RCC patients. A targeted therapy with tyrosine kinase inhibitors (TKI) has been used in first line treatment of mRCC patients with good or intermediate prognosis for years. However, approximately a half of mRCC patients do not profit from this therapy, and there is no clinical marker identifying non-responders. To address this clinical issue, we performed retrospective proteomics study on 53 mRCC tumors treated with sunitinib and pazopanib (including 23/30 responders/non-responders) using next-generation LC-DIA-MS/MS with consistent quantification of 5977 protein groups (FDR 0.01). Analysis of differential protein abundance identified 12 proteins associated with treatment response, of which 5 were successfully validated in an independent cohort of 22 mRCC tumors (10/12 responders/non-responders). Of these, transmembrane glycoprotein GPNMB exhibited the best profile and was connected to best treatment response. The trend of increased GPNMB levels was also observed in independent cohort of mRCC tissues (n=40) using immunohistochemistry. To functionally confirm GPNMB role in metastatic potential of tumor cells, we knocked-out its expression using CRISPR/Cas9 in 786-0 RCC cells. Comparison of parental and GPNMB-/- cells confirmed that GPNMB significantly supported migration capacity and invasiveness of 786-0 cells. Pathway analysis indicates association of GPNMB deregulation with enrichment of INFLAMMATORY_RESPONSE and thus modulation of immune response in mRCC tissues and 786-0 cells. Our data shows that GPNMB has a potential to serve as a biomarker of poor mRCC response to TKI treatment. Importantly, as GPNMB supports metastatic potential of tumor cells, the data indicate that transmembrane GPNMB could serve as a therapeutic target in mRCC alternatively to rTKI treatment.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů