| Literature DB >> 31995621 |
Nahla A Mobark1, Musa Alharbi1, Lamees Alhabeeb2, Latifa AlMubarak2, Rasha Alaljelaify2, Mariam AlSaeed2, Amal Almutairi2, Fatmah Alqubaishi2, Maqsood Ahmad3, Ayman Al-Banyan3, Fahad E Alotabi3, Duna Barakeh4, Malak AlZahrani4, Hisham Al-Khalidi4, Abdulrazag Ajlan4, Lori A Ramkissoon5, Shakti H Ramkissoon6,7, Malak Abedalthagafi2.
Abstract
Pediatric Low Grade Gliomas (PLGGs) display heterogeneity regarding morphology, genomic drivers and clinical outcomes. The treatment modality dictates the outcome and optimizing patient management can be challenging. In this study, we profiled a targeted panel of cancer-related genes in 37 Saudi Arabian patients with pLGGs to identify genetic abnormalities that can inform prognostic and therapeutic decision-making. We detected genetic alterations (GAs) in 97% (36/37) of cases, averaging 2.51 single nucleotide variations (SNVs) and 0.91 gene fusions per patient. The KIAA1549-BRAF fusion was the most common alteration (21/37 patients) followed by AFAP1-NTRK2 (2/37) and TBLXR-PI3KCA (2/37) fusions that were observed at much lower frequencies. The most frequently mutated) genes were NOTCH1-3 (7/37), ATM (4/37), RAD51C (3/37), RNF43 (3/37), SLX4 (3/37) and NF1 (3/37). Interestingly, we identified a GOPC-ROS1 fusion in an 8-year-old patient whose tumor lacked BRAF alterations and histologically classified as low grade glioma. The patient underwent gross total resection (GTR). The patient is currently disease free. To our knowledge this is the first report of GOPC-ROS1 fusion in PLGG. Taken together, we reveal the genetic characteristics of pLGG patients can enhance diagnostics and therapeutic decisions. In addition, we identified a GOPC-ROS1 fusion that may be a biomarker for pLGG.Entities:
Year: 2020 PMID: 31995621 PMCID: PMC6988947 DOI: 10.1371/journal.pone.0228356
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Analysis of the SA LGG cohort.
(a) Patient demographics, (b) pLGG tumor histology, and (c) tumor locations.
Fig 2pLGG treatment and recurrence.
Bar graphs show the treatment modalities (a) and tumor recurrence (b) employed in the SA pLGG cohort.
Fig 3Genetic landscape of the pLGG tumors.
(a) Number of genetic mutations and gene fusions observed across the cohort, (b) gene fusions observed in the pLGG tumors, (c) Mutational burden of the LGG tumors.
Fig 4GOPC-ROS1 fusion and disease pathology.
(a) Schematic of the tumor location and co-occurring mutations, (b-c) Postoperative MRI showing gross total surgical resection of the mass with no residual tumor identified. (d) Photomicrograph of an H&E-stained tumor section, demonstrating findings of low-grade glioma with a low to moderate cellularity, biphasic architecture, piloid and oligodendroglial tumor cells and Rosenthal fibers.