On the Boundary of Exploratory Genomics and Translation in Sequential Glioblastoma.

clinical utility deep bioinformatics glioblastoma whole exome sequencing

Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
10 Jul 2024
Historique:
received: 11 06 2024
revised: 01 07 2024
accepted: 05 07 2024
medline: 27 7 2024
pubmed: 27 7 2024
entrez: 27 7 2024
Statut: epublish

Résumé

OMICS methods brought significant advancements to the understanding of tumor cell biology, which transformed the treatment and prognosis of several cancers. Clinical practice and outcomes, however, changed significantly less in the case of glioblastoma (GBM). In this study, we aimed to assess the utility of whole exome (WES) sequencing in the clinical setting. Ten pairs of formalin-fixed, paraffin-embedded (FFPE) GBM specimens were obtained at onset (GBM-P) and at recurrence (GBM-R). Histopathological and molecular features of all samples supported the diagnosis of GBM based on WHO CNS5. WES data were filtered, applying a strict and custom-made pipeline, and occurrence of oncogenic and likely oncogenic variants in GBM-P, GBM-R or both were identified by using the VarSeq program version 2.5.0 (Golden Helix, Inc.). Characteristics and recurrence of the variants were analyzed in our own cohort and were also compared to those available in the COSMIC database. The lists of oncogenic and likely oncogenic variants corresponded to those identified in other studies. The average number of these variants were 4 and 5 out of all detected 24 and 34 variants in GBM-P and GBM-R samples, respectively. On average, one shared oncogenic/likely oncogenic variant was found in the pairs. We assessed the identified variants' therapeutic significance, also taking into consideration the guidelines by the Association for Molecular Pathology (AMP). Our data support that a thorough WES analysis is suitable for identifying oncogenic and likely oncogenic variants in an individual clinical sample or a small cohort of FFPE glioma specimens, which concur with those of comprehensive research studies. Such analyses also allow us to monitor molecular dynamics of sequential GBM. In addition, careful evaluation of data according to the AMP guideline reveal that though therapeutic applicability of the variants is generally limited in the clinic, such information may be valuable in selected cases, and can support innovative preclinical and clinical trials.

Identifiants

pubmed: 39062807
pii: ijms25147564
doi: 10.3390/ijms25147564
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Dr. Janos Szolcsanyi Research Fund by the University of Pecs, School of Medicine
ID : KA-2019-42
Organisme : Thematic Excellence Program 2020 National Excellence Sub-program
ID : TKP2020-4.1.1
Organisme : ELIXIR Converge
ID : 871075
Organisme : H2020-MSCA-COFUND Marie Skłodowska-Curie
ID : 754432

Auteurs

Marton Tompa (M)

Szentagothai Research Center, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary.
Department of Molecular Medicine, Markusovszky University Teaching Hospital, 5. Markusovszky Street, 9700 Szombathely, Hungary.

Bence Galik (B)

Szentagothai Research Center, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary.

Peter Urban (P)

Szentagothai Research Center, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary.

Bela Istvan Kajtar (BI)

Department of Pathology, School of Medicine, University of Pecs, 12. Szigeti Street, 7624 Pecs, Hungary.

Zoltan Kraboth (Z)

Department of Pathology, School of Medicine, University of Pecs, 12. Szigeti Street, 7624 Pecs, Hungary.

Attila Gyenesei (A)

Szentagothai Research Center, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary.

Attila Miseta (A)

Office of the Dean, School of Medicine, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary.

Bernadette Kalman (B)

Szentagothai Research Center, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary.
Department of Molecular Medicine, Markusovszky University Teaching Hospital, 5. Markusovszky Street, 9700 Szombathely, Hungary.
Office of the Dean, School of Medicine, University of Pecs, 20. Ifjusag Street, 7624 Pecs, Hungary.

Classifications MeSH