Whole-exome sequencing, EGFR amplification and infiltration patterns in human glioblastoma.

Fecha de publicación: Fecha Ahead of Print:

Autores de INCLIVA

Participantes ajenos a INCLIVA

  • Trivino, JC
  • Calabuig, S

Grupos y Plataformas de I+D+i

Abstract

Glioblastoma (GBM) is the most common malignant primary brain tumor in adults. This cancer shows rapid, highly infiltrative growth, that invades individually or in small groups the surrounding tissue. The aggressive tumor biology of GBM has devastating consequences with a median survival of 15 months. GBM often has Epidermal Growth Factor Receptor (EGFR) abnormalities. Despite recent advances in the study of GBM tumor biology, it is unclear whether mutations in GBM are related to EGFR amplification and relevant phenotypes like tumor infiltration. This study aimed to perform whole-exome sequencing analysis in 30 human GBM samples for identifying mutational portraits associated with EGFR amplification and infiltrative patterns. Our results show that EGFR-amplified tumors have overall higher mutation rates than EGFR-no-amplified. Six genes out of 2029 candidate genes show mutations associated with EGFR amplification status. Mutations in these genes for GBM are novel, not previously reported in GBM, and with little presence in the TCGA database. GPR179, USP48, and BLK show mutation only in EGFR-amplified cases, and all the affected cases exhibit diffuse infiltrative patterns. On the other hand, mutations in ADGB, EHHADH, and PTPN13, were present only in the EGFR-no-amplified group with a more diverse infiltrative phenotype. Overall, our work identified different mutational portraits of GBM related to well-established features like EGFR amplification and tumor infiltration.

AJCR Copyright © 2021.

Datos de la publicación

ISSN/ISSNe:
2156-6976, 2156-6976

American Journal of Cancer Research  E-CENTURY PUBLISHING CORP

Tipo:
Article
Páginas:
5543-5558
DOI:
PubMed:
34873478

Citas Recibidas en Web of Science: 2

Documentos

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Keywords

  • EGFR amplification; FISH; Glioblastoma (GBM); infiltration patterns; somatic mutation; whole exome sequencing

Financiación

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Investigador Principal: MIGUEL CERDA NICOLAS

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Investigador Principal: MIGUEL CERDA NICOLAS

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