The genomic landscape of metastatic clear cell renal cell carcinoma after systemic therapy.


Journal

Molecular oncology
ISSN: 1878-0261
Titre abrégé: Mol Oncol
Pays: United States
ID NLM: 101308230

Informations de publication

Date de publication:
06 2022
Historique:
revised: 03 02 2022
received: 17 06 2021
accepted: 28 02 2022
pubmed: 2 3 2022
medline: 22 6 2022
entrez: 1 3 2022
Statut: ppublish

Résumé

Primary clear cell renal cell carcinoma (ccRCC) has been previously characterized, but the genomic landscape of metastatic ccRCC is largely unexplored. Here, we performed whole exome sequencing (WES) in 68 samples from 44 patients with ccRCC, including 52 samples from a metastatic site. SETD2, PBRM1, APC and VHL were the most frequently mutated genes in the metastatic ccRCC cohort. RBM10 and FBXW7 were also among the 10 most frequently mutated genes in metastatic tissues. Recurrent somatic copy number variations (CNV) were observed at the previously identified regions 3p25, 9p21 and 14q25, but also at 6p21 (CDKN1A) and 13q14 (RB1). No statistically significant differences were found between samples from therapy-naïve and pretreated patients. Clonal evolution analyses with multiple samples from 13 patients suggested that early appearance of CNVs at 3p25, 9p21 and 14q25 may be associated with rapid clinical progression. Overall, the genomic landscapes of primary and metastatic ccRCC seem to share frequent CNVs at 3p25, 9p21 and 14q25. Future work will clarify the implication of RBM10 and FBXW7 mutations and 6p21 and 13q14 CNVs in metastatic ccRCC.

Identifiants

pubmed: 35231161
doi: 10.1002/1878-0261.13204
pmc: PMC9208073
doi:

Substances chimiques

F-Box-WD Repeat-Containing Protein 7 0
Nuclear Proteins 0
RBM10 protein, human 0
RNA-Binding Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

2384-2395

Subventions

Organisme : NIDDK NIH HHS
ID : R01 DK113088
Pays : United States

Informations de copyright

© 2022 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies.

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Auteurs

Johannes C van der Mijn (JC)

Department of Pharmacology, Weill Cornell Medicine, New York, NY, USA.
Department of Medical Oncology, The Netherlands Cancer Institute (NKI), Amsterdam, The Netherlands.
Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.

Kenneth W Eng (KW)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.

Pooja Chandra (P)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.

Evan Fernandez (E)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.

Sinan Ramazanoglu (S)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.

Alexandros Sigaras (A)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.

Clara Oromendia (C)

Department of Pharmacology, Weill Cornell Medicine, New York, NY, USA.

Lorraine J Gudas (LJ)

Department of Pharmacology, Weill Cornell Medicine, New York, NY, USA.

Scott T Tagawa (ST)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.

David M Nanus (DM)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.

Bishoy F Faltas (BF)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.

Himisha Beltran (H)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.

Cora N Sternberg (CN)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.

Olivier Elemento (O)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.

Andrea Sboner (A)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.

Juan Miguel Mosquera (JM)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.

Ana M Molina (AM)

Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Division of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.

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Classifications MeSH