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

Youngblood, Mark; Duran, Daniel; Montejo, Julio; Li, Chang; Omay, Sacit; ÖZDUMAN, KORAY; Sheth, Amar; Zhao, Amy; Tyrtova, Evgeniya; Miyagishima, Danielle; Fomchenko, Elena; Hong, Christopher; Clark, Victoria; Riche, Maximilien; Peyre, Matthieu; Boetto, Julien; Sohrabi, Sadaf; Koljaka, Sarah; Baranoski, Jacob; Knight, James; Zhu, Hongda; Pamir, M.; Avsar, Timucin; Kilic, Turker; Schramm, Johannes; Timmer, Marco; Goldbrunner, Roland; Gong, Ye; Bayri, Yasar; Amankulor, Nduka; Hamilton, Ronald; Bilguvar, KAYA; Tikhonova, Irina; Tomak, Patrick; Huttner, Anita; Simon, Matthias; Krischek, Boris; Kalamarides, Michel; Erson-Omay, E.; Moliterno, Jennifer; Guenel, Murat

doi:10.3171/2019.8.jns191266

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, Scopus)

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.