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Simple Summary: There are no established biomarkers for oral squamous cell carcinoma (OSCC), and detection of neck lymph node metastases relies on imaging studies. Diagnosis and prediction using biomarkers, which are less invasive and simpler than imaging tests, could improve prognosis if lymph node metastases could be treated earlier. In this study, serum microRNAs were successfully used to diagnose primary neck lymph node metastases and predict late neck lymph node metastases. They reflected the presence of lymph node metastasis more accurately than serum squamous cell carcinoma antigens or pathological factors. MicroRNAs (miRNAs) have attracted attention as non-invasive cancer biomarkers in various cancers; however, they have not been adequately investigated in oral squamous cell carcinoma (OSCC). This study investigated the diagnostic performance of serum-derived miRNAs at initial diagnosis for primary neck lymph node metastasis and the predictive performance for late neck lymph node metastasis based on long-term (up to approximately 8 years) follow-up of patients with OSCC. The expression of miRNAs in 40 patients with OSCC was quantified using real-time PCR (qPCR), and a comprehensive statistical analysis of the correlation of miRNA expression for primary and late neck lymph node metastases was performed. For the diagnosis of primary neck lymph node metastases, miR-423 and miR-125 were accurate. The miRNA index for primary metastasis diagnosis (miR-PM) calculated by regression analysis showed high diagnostic accuracy. The miR-5100 was useful for predicting late neck lymph node metastases. The miRNA index for late metastasis prediction (miR-LM) calculated using regression analysis showed high prediction accuracy. MiRNAs were useful for diagnosing primary neck lymph node metastases in OSCC and predicting late neck lymph node metastases. It may help to consider individualized treatment, including follow-up, surgical methods, and postoperative management. [ABSTRACT FROM AUTHOR]

Many variants of uncertain significance (VUS) have been detected in clinical cancer cases using next-generation sequencing-based cancer gene panel analysis. One strategy for the elucidation of VUS is the functional analysis of cultured cancer cell lines that harbor targeted gene variants using genome editing. Genome editing is a powerful tool for creating desired gene alterations in cultured cancer cell lines. However, the efficiency of genome editing varies substantially among cell lines of interest. We performed comparative studies to determine the optimal editing conditions for the introduction of platelet-derived growth factor receptor alpha (PDGFRA) variants in human glioblastoma multiforme (GBM) cell lines. After monitoring the copy numbers of PDGFRA and the expression level of the PDGFRα protein, four GBM cell lines (U-251 MG, KNS-42, SF126, and YKG-1 cells) were selected for the study. To compare the editing efficiency in these GBM cell lines, the modes of clustered regularly interspaced short palindromic repeat (CRISPR)-associated protein 9 (Cas9) delivery (plasmid vs. ribonucleoprotein (RNP)), methods of transfection (lipofection vs. electroporation), and usefulness of cell sorting were then evaluated. Herein, we demonstrated that electroporation-mediated transfer of Cas9 with single-guide RNA (Cas9 RNP complex) could sufficiently edit a target nucleotide substitution, irrespective of cell sorting. As the Cas9 RNP complex method showed a higher editing efficiency than the Cas9 plasmid lipofection method, it was the optimal method for single-nucleotide editing in human GBM cell lines under our experimental conditions. [ABSTRACT FROM AUTHOR]

Background: 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). Methods: 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. Results: 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. Conclusions: 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. [ABSTRACT FROM AUTHOR]

Background/aim: Among the four genomic subtypes of endometrial cancer, distinguishing between the DNA polymerase epsilon mutation (POLEmut) and no specific molecular profile (NSMP) subtypes requires genomic profiling owing to the lack of surrogate immunohistochemical markers. We have previously found that, histologically, the POLEmut-subtype exhibits surface epithelial slackening (SES). Therefore, to improve subtype identification, we aimed to extract cytological features corresponding to SES in POLEmut-subtype cervical cytology specimens., Materials and Methods: We analyzed 104 endometrial cancer cervical cytology specimens, with integrative diagnosis confirmation via histology, immunohistochemistry, and genomic profiling. Cytological features were evaluated for the presence of atypical glandular cells, atypical cell appearance in single cells and clusters, and cytological SES and the presence of tumor-infiltrating inflammatory cells in clusters., Results: Based on cervical cytology, the POLEmut- and p53mut-subtypes exhibited more frequent atypical cells in smaller clusters, giant tumor cells, and cytological SES patterns than the NSMP-subtype. Tumor-infiltrating lymphocytes were frequent in the POLEmut- and mismatch repair-deficient subtypes., Conclusion: Histologically-detected SES as well as other endometrial cancer features may be preserved in the atypical cell clusters observed in cervical cytology specimens. Cytological detection of SES and of smaller clusters of atypical cells and inflammatory cells with moderate atypia are suggestive of POLEmut-subtype. Integrative diagnosis including genomic profiling remains critical for diagnostic confirmation., (Copyright © 2024, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

It is often difficult to histologically differentiate among endometrial dedifferentiated carcinoma (DC), endometrioid carcinoma (EC), serous carcinoma (SC), and carcinosarcoma (CS) due to the presence of solid components. In this study, we aimed to categorize these carcinomas according to The Cancer Genome Atlas (TCGA) classification using a small custom-made cancer genome panel (56 genes and 17 microsatellite regions) for integrated molecular diagnosis. A total of 36 endometrial cancer cases with solid components were assessed using IHC, next-generation sequencing (NGS), and the custom-made panel. Among 19 EC cases, six were categorized as MMR-deficient (MMR-d) and eight were classified as having a nonspecific molecular profile. Three EC cases were classified as POLE mutation ( POLE mut)-type, which had a very high tumor mutation burden (TMB) and low microsatellite instability (MSI). Increased TMB and MSI were observed in all three DC cases, classified as MMR-d with mutations in MLH1 and POLD1 . Except for one case classified as MMR-d, all SC cases exhibited TP53 mutations and were classified as p53 mutation-type. SC cases also exhibited amplification of CCND1 , CCNE1 , and MYC . CS cases were classified as three TCGA types other than the POLE mut-type. The IHC results for p53 and ARID1A were almost consistent with their mutation status. NGS analysis using a small panel enables categorization of endometrial cancers with solid proliferation according to TCGA classification. As TCGA molecular classification does not consider histological findings, an integrated analytical procedure including IHC and NGS may be a practical diagnostic tool for endometrial cancers., Competing Interests: SN and IS are employed by Mitsubishi Space Software. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Kobayashi, Kitazono, Akahane, Yanazume, Kamio, Togami, Nohara, Sakamoto, Yokoyama, Tabata, Kobayashi and Tanimoto.)