Somatic mutational profiling and clinical impact of driver genes in Latin-Iberian medulloblastomas: Towards precision medicine.
Letícia Ganem Rillo Paz BarateiroRodrigo de Oliveira CavagnaMariana Bisarro Dos ReisFlávia Escremim de PaulaGustavo Ramos TeixeiraDaniel Antunes MorenoMurilo BonatelliIara SantanaFabiano Pinto SaggioroLuciano NederJoão Norberto StavaleSuzana Maria Fleury MalheirosHernan Garcia-RivelloSilvia ChristiansenSusana NunesMaria João Gil da CostaJorge PinheiroCarlos Almeida JúniorBruna Minniti MançanoRui Manuel Vieira ReisPublished in: Neuropathology : official journal of the Japanese Society of Neuropathology (2024)
Medulloblastoma (MB) is the most prevalent malignant brain tumor in children, known for its heterogeneity and treatment-associated toxicity, and there is a critical need for new therapeutic targets. We analyzed the somatic mutation profile of 15 driver genes in 69 Latin-Iberian molecularly characterized medulloblastomas using the Illumina TruSight Tumor 15 panel. We classified the variants based on their clinical impact and oncogenicity. Among the patients, 66.7% were MB SHH , 13.0% MB WNT , 7.3% MB Grp3 , and 13.0% MB Grp4 . Among the 63 variants found, 54% were classified as Tier I/II and 31.7% as oncogenic/likely oncogenic. We observed 33.3% of cases harboring at least one mutation. TP53 (23.2%, 16/69) was the most mutated gene, followed by PIK3CA (5.8%, 4/69), KIT (4.3%, 3/69), PDGFRA (2.9%, 2/69), EGFR (1.4%, 1/69), ERBB2 (1.4%, 1/69), and NRAS (1.4%, 1/69). Approximately 41% of MB SHH tumors exhibited mutations, TP53 (32.6%) being the most frequently mutated gene. Tier I/II and oncogenic/likely oncogenic TP53 variants were associated with relapse, progression, and lower survival rates. Potentially actionable variants in the PIK3CA and KIT genes were identified. Latin-Iberian medulloblastomas, particularly the MB SHH , exhibit higher mutation frequencies than other populations. We corroborate the TP53 mutation status as an important prognostic factor, while PIK3CA and KIT are potential therapeutic targets.
Keyphrases
- copy number
- genome wide
- prognostic factors
- genome wide identification
- transcription factor
- dna methylation
- small cell lung cancer
- tyrosine kinase
- stem cells
- end stage renal disease
- ejection fraction
- endoplasmic reticulum stress
- cell proliferation
- oxidative stress
- chronic kidney disease
- protein kinase
- free survival
- climate change
- human health
- patient reported