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As liquid-based cytology (LBC) specimens preserve high-quality DNA, clinical sequencing of LBC specimens using next-generation sequencing (NGS) is becoming a common strategy. This study aimed to evaluate the feasibility of NGS-based custom-made panels for evaluating MUC promoter methylation in LBC specimens.Thirty-one patients with pancreatic cancer were enrolled in the study. Cancer tissue samples were obtained using endoscopic ultrasound-guided fine-needle aspiration/biopsy (EUS-FNA/FNB). LBC, formalin-fixed paraffin-embedded (FFPE), and fresh frozen specimens were prepared for DNA extraction after pathological diagnosis. These specimens were then subjected to NGS analysis using custom-made cancer gene screening and methylation panels comprising 28 cancer-related genes and 13 gene promoter regions, including MUC1, MUC2, and MUC4.The success rate of NGS using the cancer gene panel was comparable among the LBC, FFPE, and frozen specimens, and the presence of cancer cell-derived somatic mutations in each specimen was confirmed. The specimens were then tested using a methylation panel that revealed the sequential methylation status of CpG islands located in the promoter regions of MUC genes. The methylation status results obtained from LBC specimens were almost comparable with those from FFPE and frozen specimens.MUC and other gene methylation analyses using an NGS-based panel were successfully performed in residual LBC specimens obtained by EUS-FNA/FNB. Therefore, this approach provides an alternative source of molecular tests for gene mutations and methylation, especially in the pancreatic cancers, which are often unresectable and unsuitable for obtaining FFPE specimens.

We aimed to evaluate the mutation profile, transcriptional variants, and prognostic impact of the epidermal growth factor receptor (EGFR) gene in isocitrate dehydrogenase (IDH)-wildtype glioblastomas (GBMs).We sequenced EGFR, evaluated the EGFR splicing profile using a next-generation sequencing oncopanel, and analyzed the outcomes in 138 grade IV IDH-wildtype GBM cases.EGFR mutations were observed in 10% of GBMs. A total of 23.9% of the GBMs showed EGFR amplification. Moreover, 25% of the EGFR mutations occurred in the kinase domain. Notably, EGFR alterations were a predictor of good prognosis (p = 0.035). GBM with EGFR alterations was associated with higher Karnofsky Performance Scale scores (p = 0.014) and lower Ki-67 scores (p = 0.005) than GBM without EGFR alterations. EGFRvIII positivity was detected in 21% of EGFR-amplified GBMs. We identified two other EGFR variants in GBM cases with deletions of exons 6-7 (Δe 6-7) and exons 2-14 (Δe 2-14). In one case, the initial EGFRvIII mutation transformed into an EGFR Δe 2-14 mutation during recurrence.We found that the EGFR gene profiles of GBM differ among cohorts and that EGFR alterations are good prognostic markers of overall survival in patients with IDH-wildtype GBM. Additionally, we identified rare EGFR variants with longitudinal and temporal transformations of EGFRvIII.

Central nervous system tumors are classified based on an integrated diagnosis combining histology and molecular characteristics, including IDH1/2 and H3‐K27M mutations, as well as 1p/19q codeletion. Here, we aimed to develop and assess the feasibility of a glioma‐tailored 48‐gene next‐generation sequencing (NGS) panel for integrated glioma diagnosis. We designed a glioma‐tailored 48‐gene NGS panel for detecting 1p/19q codeletion and mutations in IDH1/2, TP53, PTEN, PDGFRA, NF1, RB1, CDKN2A/B, CDK4, and the TERT promoter (TERTp). We analyzed 106 glioma patients (grade II: 19 cases, grade III: 23 cases, grade IV: 64 cases) using this system. The 1p/19q codeletion was detected precisely in oligodendroglial tumors using our NGS panel. In a cohort of 64 grade Ⅳ gliomas, we identified 56 IDH‐wildtype glioblastomas. Within these IDH‐wildtype glioblastomas, 33 samples (58.9%) showed a mutation in TERTp. Notably, PDGFRA mutations and their amplification were more commonly seen in TERTp‐wildtype glioblastomas (43%) than in TERTp‐mutant glioblastomas (6%) (P = .001). Hierarchical molecular classification of IDH‐wildtype glioblastomas revealed 3 distinct groups of IDH‐wildtype glioblastomas. One major cluster was characterized by mutations in PDGFRA, amplification of CDK4 and PDGFRA, homozygous deletion of CDKN2A/B, and absence of TERTp mutations. This cluster was significantly associated with older age (P = .021), higher Ki‐67 score (P = .007), poor prognosis (P = .012), and a periventricular tumor location. We report the development of a glioma‐tailored NGS panel for detecting 1p/19q codeletion and driver gene mutations on a single platform. Our panel identified distinct subtypes of IDH‐ and TERTp‐wildtype glioblastomas with frequent PDGFRA alterations., A glioma‐tailored 48‐gene next‐generation sequencing panel identified distinct subtypes of wildtype IDH and TERT promoter glioblastomas with PDGFRA alterations.