Purpose: Patient-derived cells (PDCs) and patient-derived organoids (PDOs) are complementary preclinical models widely used in translational cancer research. However, their molecular and functional differences have not been systematically characterized. This study established and analyzed paired PDC and PDO models derived from the same gastric cancer ascites to delineate platform-dependent molecular and functional profiles. Materials and Methods: Malignant ascites or pleural fluid obtained from 6 patients with advanced gastric cancer were used to establish paired PDC and PDO models. All pairs underwent comprehensive multi-omics profiling, integrating genomic, transcriptomic, and proteomic data. Phenotypic characterization included morphological, histological, proliferative, and cell cycle analyses. Drug sensitivity assays were performed using 4 chemotherapeutic agents commonly used to treat gastric cancer. Results: The 6 paired PDC and PDO models exhibited distinct morphological characteristics.Whole-genome analyses demonstrated high concordance among primary tumors, PDCs, and PDOs, confirming tumor representation across platforms. Multi-omics profiling identified platform-dependent molecular signatures; PDOs were enriched for extracellular matrix remodeling and stemness, whereas PDCs displayed proliferation- and immune-related signatures. Clinically relevant biomarkers, including HER2 and MET alterations, were concordant with primary tumors. Notably, drug responses differed between platforms and patients, indicating platform-dependent and patient-specific chemosensitivity. Conclusions Paired PDC and PDO models derived from the same patients preserved core patient-specific tumor characteristics while exhibiting distinct molecular and functional profiles. These findings underscore the culture platform as a critical determinant of experimental outcomes and therapeutic responses. Therefore, careful selection of an appropriate preclinical model is essential to accurately address biological questions and optimize precision oncology strategies.

Objective: We aimed to investigate the predictors of aneurysm occlusion following flow diversion treatment for unruptured intracranial aneurysms (UIA) using the Surpass Evolve (SE) stent. Methods: The radiological and clinical outcomes of UIAs treated using SE stent at a single tertiary hospital were reviewed retrospectively. We categorized radiological outcome into the poor (O’Kelly-Marotta [OKM] grade A-B) and favorable occlusion group (OKM grade C-D). Univariate and multivariate analyses were conducted to identify risk factors associated with poor occlusion. Results: A total of 68 unruptured intracranial aneurysms in 52 patients were treated in our institution from December 2019 to July 2024. At last radiological follow-up (mean 17.5±10.1 months), the overall favorable occlusion rate was 79.4% (n=52). Multivariate analysis showed larger aneurysm (p=0.011, OR=0.89, 95% CI [0.81-0.98]) and presence of incorporated branch (p=0.007, OR=8.26, 95% CI [1.78-38.28]) were associated with independent factors for poor occlusion, respectively. Procedural mortality and morbidity were 0% (n=0) and 1.9% (n=1). One patient presented with delayed ischemic stroke (1.9%, n=1) without permanent neurological deficit. Conclusions Treatment for UIAs using the Surpass Evolve flow-diverting stent might be feasible for efficacy and safety. In this study, larger size of aneurysm and branch incorporated aneurysm were associated with poor occlusion after flow-diversion using SE stent.

Purpose: This study aimed to perform a genome characterization of Streptococcus mitis KHUD 011, a strain isolated from the oral microbiome of a healthy Korean individual, and to compare its genomic features with other S. mitis strains. Materials and Methods: The strain was identified through 16S rRNA gene sequencing, and its genome was sequenced using the PacBio Sequel II platform. De novo assembly and annotation were performed, followed by comparative genomic analysis with three additional strains (S. mitis NCTC 12261, S022-V3-A4, and B6). Pan-genome and phylogenetic analyses were conducted to identify strain-specific genes and assess inter-strain genomic diversity. Results: The genome of S. mitis KHUD 011 consisted of 1,782 protein-coding genes, with a G+C content of 40.24%. Pan-genome analysis identified 1,263 core gene clusters (50.0%), 496 dispensable clusters (19.7%), and 763 strain-specific clusters (30.3%). KHUD 011 displayed 88 strain-specific genes, particularly associated with cell wall/membrane biogenesis, transcriptional regulation, and carbohydrate metabolism. Phylogenetic analysis placed KHUD 011 closely with NCTC 12261, forming a distinct cluster apart from other strains. Conclusion The genome characterization of S. mitis KHUD 011 underscores substantial inter-strain genomic diversity influenced by host interactions, ecological niches, and health status. The identified strain-specific genes, particularly those associated with cell wall/ membrane biogenesis, transcriptional regulation, and carbohydrate metabolism, suggest adaptations to the oral microbiome and its interaction with the host. These findings highlight the ecological versatility of S. mitis and the importance of exploring strains from diverse environments to better understand their role within the host and the broader microbiome.

Background: Intraoperative hemoglobin (Hb) monitoring is critical for ensuring patient safety during bimaxillary orthognathic surgery. Intraoperative Hb monitoring performed using portable devices with arterial blood samples is invasive, is time-consuming, and lacks the ability to provide real-time information. This retrospective study investigated the correlation between continuous and real-time total Hb (SpHb) using a Masimo Radical 7 device and Hb levels derived by portable devices during bimaxillary orthognathic surgery. Methods: Patients who underwent elective bimaxillary orthognathic surgery were enrolled. The correlation between SpHb and laboratory Hb (Lab-Hb) was evaluated immediately after the induction of anesthesia (T1) and at surgical closure (T2) and compared with postoperative Hb. Results: Eighty-eight patients were included. The correlation coefficients between SpHb and Lab-Hb were 0.795 and 0.859 at T1 and T2, respectively. The correlation coefficient between Lab-Hb at T2 and postoperative Hb was 0.918. A Bland-Altman analysis of the Lab-Hb at T2 and postoperative Hb showed a mean bias of 0.49. Conclusion In conclusion, here we demonstrated acceptable accuracy of the SpHb measured by the Masimo Radical 7 device during bimaxillary orthognathic surgery. However, SpHb is valuable as an adjunct value to Lab-Hb and a substitute for Hb monitoring due to its wide limits of agreement. These findings suggest that SpHb can help guide the timing of invasive blood sampling for Hb measurements, which may facilitate earlier intervention and treatment.

Background: Intraoperative hemoglobin (Hb) monitoring is critical for ensuring patient safety during bimaxillary orthognathic surgery. Intraoperative Hb monitoring performed using portable devices with arterial blood samples is invasive, is time-consuming, and lacks the ability to provide real-time information. This retrospective study investigated the correlation between continuous and real-time total Hb (SpHb) using a Masimo Radical 7 device and Hb levels derived by portable devices during bimaxillary orthognathic surgery. Methods: Patients who underwent elective bimaxillary orthognathic surgery were enrolled. The correlation between SpHb and laboratory Hb (Lab-Hb) was evaluated immediately after the induction of anesthesia (T1) and at surgical closure (T2) and compared with postoperative Hb. Results: Eighty-eight patients were included. The correlation coefficients between SpHb and Lab-Hb were 0.795 and 0.859 at T1 and T2, respectively. The correlation coefficient between Lab-Hb at T2 and postoperative Hb was 0.918. A Bland-Altman analysis of the Lab-Hb at T2 and postoperative Hb showed a mean bias of 0.49. Conclusion In conclusion, here we demonstrated acceptable accuracy of the SpHb measured by the Masimo Radical 7 device during bimaxillary orthognathic surgery. However, SpHb is valuable as an adjunct value to Lab-Hb and a substitute for Hb monitoring due to its wide limits of agreement. These findings suggest that SpHb can help guide the timing of invasive blood sampling for Hb measurements, which may facilitate earlier intervention and treatment.

Purpose: This study aimed to perform a genome characterization of Streptococcus mitis KHUD 011, a strain isolated from the oral microbiome of a healthy Korean individual, and to compare its genomic features with other S. mitis strains. Materials and Methods: The strain was identified through 16S rRNA gene sequencing, and its genome was sequenced using the PacBio Sequel II platform. De novo assembly and annotation were performed, followed by comparative genomic analysis with three additional strains (S. mitis NCTC 12261, S022-V3-A4, and B6). Pan-genome and phylogenetic analyses were conducted to identify strain-specific genes and assess inter-strain genomic diversity. Results: The genome of S. mitis KHUD 011 consisted of 1,782 protein-coding genes, with a G+C content of 40.24%. Pan-genome analysis identified 1,263 core gene clusters (50.0%), 496 dispensable clusters (19.7%), and 763 strain-specific clusters (30.3%). KHUD 011 displayed 88 strain-specific genes, particularly associated with cell wall/membrane biogenesis, transcriptional regulation, and carbohydrate metabolism. Phylogenetic analysis placed KHUD 011 closely with NCTC 12261, forming a distinct cluster apart from other strains. Conclusion The genome characterization of S. mitis KHUD 011 underscores substantial inter-strain genomic diversity influenced by host interactions, ecological niches, and health status. The identified strain-specific genes, particularly those associated with cell wall/ membrane biogenesis, transcriptional regulation, and carbohydrate metabolism, suggest adaptations to the oral microbiome and its interaction with the host. These findings highlight the ecological versatility of S. mitis and the importance of exploring strains from diverse environments to better understand their role within the host and the broader microbiome.

Purpose: This study aimed to perform a genome characterization of Streptococcus mitis KHUD 011, a strain isolated from the oral microbiome of a healthy Korean individual, and to compare its genomic features with other S. mitis strains. Materials and Methods: The strain was identified through 16S rRNA gene sequencing, and its genome was sequenced using the PacBio Sequel II platform. De novo assembly and annotation were performed, followed by comparative genomic analysis with three additional strains (S. mitis NCTC 12261, S022-V3-A4, and B6). Pan-genome and phylogenetic analyses were conducted to identify strain-specific genes and assess inter-strain genomic diversity. Results: The genome of S. mitis KHUD 011 consisted of 1,782 protein-coding genes, with a G+C content of 40.24%. Pan-genome analysis identified 1,263 core gene clusters (50.0%), 496 dispensable clusters (19.7%), and 763 strain-specific clusters (30.3%). KHUD 011 displayed 88 strain-specific genes, particularly associated with cell wall/membrane biogenesis, transcriptional regulation, and carbohydrate metabolism. Phylogenetic analysis placed KHUD 011 closely with NCTC 12261, forming a distinct cluster apart from other strains. Conclusion The genome characterization of S. mitis KHUD 011 underscores substantial inter-strain genomic diversity influenced by host interactions, ecological niches, and health status. The identified strain-specific genes, particularly those associated with cell wall/ membrane biogenesis, transcriptional regulation, and carbohydrate metabolism, suggest adaptations to the oral microbiome and its interaction with the host. These findings highlight the ecological versatility of S. mitis and the importance of exploring strains from diverse environments to better understand their role within the host and the broader microbiome.

Background: Intraoperative hemoglobin (Hb) monitoring is critical for ensuring patient safety during bimaxillary orthognathic surgery. Intraoperative Hb monitoring performed using portable devices with arterial blood samples is invasive, is time-consuming, and lacks the ability to provide real-time information. This retrospective study investigated the correlation between continuous and real-time total Hb (SpHb) using a Masimo Radical 7 device and Hb levels derived by portable devices during bimaxillary orthognathic surgery. Methods: Patients who underwent elective bimaxillary orthognathic surgery were enrolled. The correlation between SpHb and laboratory Hb (Lab-Hb) was evaluated immediately after the induction of anesthesia (T1) and at surgical closure (T2) and compared with postoperative Hb. Results: Eighty-eight patients were included. The correlation coefficients between SpHb and Lab-Hb were 0.795 and 0.859 at T1 and T2, respectively. The correlation coefficient between Lab-Hb at T2 and postoperative Hb was 0.918. A Bland-Altman analysis of the Lab-Hb at T2 and postoperative Hb showed a mean bias of 0.49. Conclusion In conclusion, here we demonstrated acceptable accuracy of the SpHb measured by the Masimo Radical 7 device during bimaxillary orthognathic surgery. However, SpHb is valuable as an adjunct value to Lab-Hb and a substitute for Hb monitoring due to its wide limits of agreement. These findings suggest that SpHb can help guide the timing of invasive blood sampling for Hb measurements, which may facilitate earlier intervention and treatment.

Purpose: This study aimed to perform a genome characterization of Streptococcus mitis KHUD 011, a strain isolated from the oral microbiome of a healthy Korean individual, and to compare its genomic features with other S. mitis strains. Materials and Methods: The strain was identified through 16S rRNA gene sequencing, and its genome was sequenced using the PacBio Sequel II platform. De novo assembly and annotation were performed, followed by comparative genomic analysis with three additional strains (S. mitis NCTC 12261, S022-V3-A4, and B6). Pan-genome and phylogenetic analyses were conducted to identify strain-specific genes and assess inter-strain genomic diversity. Results: The genome of S. mitis KHUD 011 consisted of 1,782 protein-coding genes, with a G+C content of 40.24%. Pan-genome analysis identified 1,263 core gene clusters (50.0%), 496 dispensable clusters (19.7%), and 763 strain-specific clusters (30.3%). KHUD 011 displayed 88 strain-specific genes, particularly associated with cell wall/membrane biogenesis, transcriptional regulation, and carbohydrate metabolism. Phylogenetic analysis placed KHUD 011 closely with NCTC 12261, forming a distinct cluster apart from other strains. Conclusion The genome characterization of S. mitis KHUD 011 underscores substantial inter-strain genomic diversity influenced by host interactions, ecological niches, and health status. The identified strain-specific genes, particularly those associated with cell wall/ membrane biogenesis, transcriptional regulation, and carbohydrate metabolism, suggest adaptations to the oral microbiome and its interaction with the host. These findings highlight the ecological versatility of S. mitis and the importance of exploring strains from diverse environments to better understand their role within the host and the broader microbiome.

Background: Individuals with disabilities often face significant barriers to receiving appropriate dental care due to limited cooperation, communication difficulties, and underlying medical conditions. Dental treatment under general anesthesia (GA) is an effective alternative for patients who are unable to tolerate conventional outpatient procedures. This study aimed to analyze cases of dental treatment under GA performed at the Gyeongnam Dental Clinic Center for the Disabled and to compare them with findings from other regional centers in Korea. Methods: A retrospective review of 181 cases of dental treatment under GA performed at the Gyeongnam Center between November 8, 2022, and October 30, 2024, was conducted. Patient data, including demographic characteristics, disability type, American Society of Anesthesiologists (ASA) physical status classification, treatment type, number of GA sessions, procedure duration, and regional residence, were collected from anonymized electronic medical records. Statistical comparisons were made with findings from previous studies to assess trends and clinical implications. Results: Among the 181 patients treated under GA, 61.9% were male, with a mean age of 22.4 years. Intellectual disabilities (41.4%) and autism spectrum disorder (28.6%) were the most common indications. Most patients were classified as ASA class II (60.8%) and underwent an average of 14 procedures per session, with restorative treatment being the most frequent (43.5%). Single-session treatments were predominant (90.9%), with an average duration of 147.5 m. Most patients resided in Gyeongsangnam-do (62.4%), reflecting the center's geographic accessibility. Conclusion This study provides foundational data on dental treatment under GA for individuals with disabilities at a regional center. The findings emphasize the need for specialized facilities, efficient treatment planning, and structured follow-up systems. Improved accessibility and financial support are essential to enhancing oral health outcomes in this population. Future studies should include pediatric cases and account for overlapping disabilities to better reflect clinical complexity.