Correlations between genomic subgroup and clinical features in a cohort of more than 3000 meningiomas

Youngblood M. W., Duran D., Montejo J. D., Li C., Omay S. B., ÖZDUMAN K., ...Daha Fazla

JOURNAL OF NEUROSURGERY, cilt.133, sa.5, ss.1345-1354, 2020 (SCI-Expanded) identifier identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 133 Sayı: 5
  • Basım Tarihi: 2020
  • Doi Numarası: 10.3171/2019.8.jns191266
  • Dergi Adı: JOURNAL OF NEUROSURGERY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.1345-1354
  • Anahtar Kelimeler: meningioma, precision medicine, genomics, clinical correlations, machine learning, oncology, MUTATIONS, AKT1, GRADE, SMO, EPENDYMOMAS, EXPRESSION, GERMLINE, TRAF7, KLF4
  • Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli: Evet

Özet

OBJECTIVE Recent large-cohort sequencing studies have investigated the genomic landscape of meningiomas, identifying somatic coding alterations in NF2, SMARCB1, SMARCE1, TRAF7, KLF4, POLR2A, BAP1, and members of the PI3K and Hedgehog signaling pathways. Initial associations between clinical features and genomic subgroups have been described, including location, grade, and histology. However, further investigation using an expanded collection of samples is needed to confirm previous findings, as well as elucidate relationships not evident in smaller discovery cohorts.