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Is Next-Generation Sequencing Alone Sufficient to Reliably Diagnose Gliomas?
Kam, Kwok Ling; Appin, Christina L; Mao, Qinwen; Ikegami, Sachie; Lukas, Rimas V; Nikiforova, Marina N; Roy, Somak; Brat, Daniel J; Horbinski, Craig.
Affiliation
  • Kam KL; Department of Pathology, Northwestern University, Chicago, Illinois.
  • Appin CL; Department of Neurological Surgery, University of California, San Francisco, San Francisco, California.
  • Mao Q; Department of Pathology, Northwestern University, Chicago, Illinois.
  • Ikegami S; NorthShore University HealthSystem, Evanston.
  • Lukas RV; Department of Neurology, Northwestern University, Chicago (RVL), Illinois.
  • Nikiforova MN; Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
  • Roy S; Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
  • Brat DJ; Department of Pathology, Northwestern University, Chicago, Illinois.
  • Horbinski C; Department of Pathology, Northwestern University, Chicago, Illinois.
J Neuropathol Exp Neurol ; 79(7): 763-766, 2020 07 01.
Article de En | MEDLINE | ID: mdl-32483596
ABSTRACT
The power and widespread use of next-generation sequencing (NGS) in surgical neuropathology has raised questions as to whether NGS might someday fully supplant histologic-based examination. We therefore sought to determine the feasibility of relying on NGS alone for diagnosing infiltrating gliomas. A total of 171 brain lesions in adults, all of which had been analyzed by GlioSeq NGS, comprised the study cohort. Each case was separately diagnosed by 6 reviewers, based solely on age, sex, tumor location, and NGS results. Results were compared with the final integrated diagnoses and scored on the following scale 0 = either wrong tumor type or correct tumor type but off by 2+ grades; 1 = off by 1 grade; 2 = exactly correct. Histology alone was treated as a seventh reviewer. Overall reviewer accuracy ranged from 81.6% to 94.2%, while histology alone scored 87.1%. For glioblastomas, NGS was more accurate than histology alone (93.8%-97.9% vs 87.5%). The NGS accuracy for grade II and III astrocytoma and oligodendroglioma was only 54.3%-84.8% and 34.4%-87.5%, respectively. Most uncommon gliomas, including BRAF-driven tumors, could not be accurately classified just by NGS. These data indicate that, even in this era of advanced molecular diagnostics, histologic evaluation is still an essential part of optimal patient care.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tumeurs du cerveau / Séquençage nucléotidique à haut débit / Gliome Type d'étude: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limites: Adolescent / Adult / Female / Humans / Male Langue: En Journal: J Neuropathol Exp Neurol Année: 2020 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tumeurs du cerveau / Séquençage nucléotidique à haut débit / Gliome Type d'étude: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limites: Adolescent / Adult / Female / Humans / Male Langue: En Journal: J Neuropathol Exp Neurol Année: 2020 Type de document: Article