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1000 Titel
  • Identification of genomic drivers for the therapeutic response of Cabozantinib in patients with metastatic renal cell carcinoma
1000 Autor/in
  1. Borkowetz, Angelika |
  2. Sommer, Ulrich |
  3. Baretton, Gustavo |
  4. Gruellich, Carsten |
  5. Bürk, Björn Thorben |
  6. Erb, Holger H. H. |
  7. Thomas, Christian |
  8. MORECAB Consortium |
1000 Verlag Springer Berlin Heidelberg
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-02-22
1000 Erschienen in
1000 Quellenangabe
  • 42(1):94
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00345-024-04783-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10884127/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Purpose</jats:title> <jats:p>Cabozantinib (CAB) as monotherapy or in combination with immune checkpoint inhibitors is used for systemic treatment of metastatic renal cell carcinoma (mRCC). However, little is known about predictors of treatment response to CAB. For this reason, known genomic drivers were examined to identify potential predictors of treatment response with CAB.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Twenty mRCC patients receiving monotherapy (≥ first-line) with CAB were prospectively included. DNA was extracted from archived primary tumors or metastatic tissue. Targeted DNA sequencing was performed using a gene panel including 328 genes (QIAseq Targeted DNA V3 Panel, Qiagen). The variant evaluation was performed using Varsome. The endpoints were treatment-failure-free-survival (TFFS) to CAB.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>26% of patients received systemic RCC treatment as the primary option. Six patients were treated with CAB in first-line (1L) and 12 patients in ≥ 2L. The median follow-up after initiation of systemic treatment was 26.7 months (mo). The <jats:italic>PBRM1</jats:italic> (7 alleles), <jats:italic>SETD2</jats:italic> (7 alleles), <jats:italic>VHL</jats:italic> (11 alleles), and <jats:italic>CHEK2</jats:italic> (14 alleles) genes were most frequently altered. The median time to TFFS was 10.5 mo (95% confidence interval (CI) 6.2–14.7 mo). There was a longer treatment response to CAB in patients with alterations of the <jats:italic>SETD2</jats:italic> gene (<jats:italic>SETD2</jats:italic> alteration median TFFS not reached vs. no <jats:italic>SETD2</jats:italic> alterations 8.4 mo (95% CI 5.2–11.6 mo); <jats:italic>p</jats:italic> = 0.024).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>Pathogenic variant genes may indicate treatment response to systemic therapy in mRCC. Patients with alterations of the <jats:italic>SETD2</jats:italic> gene show longer responses to CAB treatment.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Pyridines [MeSH]
lokal Genomic alterations
lokal Humans [MeSH]
lokal Kidney Neoplasms/drug therapy [MeSH]
lokal Original Article
lokal Carcinoma, Renal Cell/drug therapy [MeSH]
lokal Genomics [MeSH]
lokal Anilides [MeSH]
lokal Kidney Neoplasms/genetics [MeSH]
lokal Metastatic renal cell carcinoma
lokal DNA [MeSH]
lokal Cabozantinib
lokal Carcinoma, Renal Cell/genetics [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-7257-0238|https://frl.publisso.de/adhoc/uri/U29tbWVyLCBVbHJpY2g=|https://frl.publisso.de/adhoc/uri/QmFyZXR0b24sIEd1c3Rhdm8=|https://frl.publisso.de/adhoc/uri/R3J1ZWxsaWNoLCBDYXJzdGVu|https://frl.publisso.de/adhoc/uri/QsO8cmssIEJqw7ZybiBUaG9yYmVu|https://frl.publisso.de/adhoc/uri/RXJiLCBIb2xnZXIgSC4gSC4=|https://frl.publisso.de/adhoc/uri/VGhvbWFzLCBDaHJpc3RpYW4=|https://frl.publisso.de/adhoc/uri/TU9SRUNBQiBDb25zb3J0aXVt
1000 Hinweis
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1000 Label
1000 Förderer
  1. Ipsen Biopharmaceuticals |
  2. Technische Universität Dresden |
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1000 Dateien
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    1000 Förderer Ipsen Biopharmaceuticals |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Technische Universität Dresden |
    1000 Förderprogramm -
    1000 Fördernummer -
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1000 Erstellt am 2025-02-05T19:12:12.300+0100
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