In light of the burgeoning successes of cancer immunotherapy, glioblastoma (GBM) remains refractory due to an immunosuppressive microenvironment originating from its molecular heterogeneity. Thus, identifying promising therapeutic targets for treating GBM and discovering methodologies to effectively regulate them is still a tremendous challenge. Here we describe photodynamic protein tyrosine phosphatase 1B (PTP1B) proteolysis mediated by a proteolysis-targeting chimera (PROTAC) nanoassembly. The PTP1B-targeting PROTAC is conjugated with a photosensitizer via a cathepsin B (Cat B)-cleavable peptide, which spontaneously forms nanoassemblies due to intermolecular π-π stacking interactions. In GBM models, PROTAC nanoassemblies significantly accumulate in the tumor region across the disrupted blood-brain barrier (BBB), triggering a burst release of the photosensitizer and active PROTAC by Cat B-mediated enzymatic cleavage. Upon laser irradiation, photodynamic therapy (PDT) synergizes with PROTAC-mediated PTP1B proteolysis to induce potent immunogenic cell death (ICD) in tumor cells. Subsequently, persistent PTP1B degradation by nanoassemblies in Cat B-overexpressed intratumoral T cells downregulates exhaustion markers, reinvigorating their functionality. These sequential processes of photodynamic PTP1B proteolysis ultimately augment T cell-mediated antitumor immunity as well as protective immunity, completely eradicating the primary GBM and preventing its recurrence. Overall, our findings underscore the therapeutic potential of combining PDT with PROTAC activity for GBM immunotherapy.

Background: Hypertrophic cardiomyopathy (HCM) needs careful differentiation from other cardiomyopathies. Current guidelines recommend genetic testing, but genetic data on differential diagnoses and their relation with clinical outcomes in HCM are still lacking.This study aimed to investigate the prevalence of genetic variants and the proportion of other cardiomyopathies in patients with suspected HCM in Korea and compare the outcomes of HCM according to the presence of sarcomere gene mutation. Methods: We enrolled 1,554 patients with suspected HCM having left ventricular hypertrophy on transthoracic echocardiography between April 2012 and February 2023. Patients who declined genetic testing or who had pure apical HCM without a familial history were excluded. Genetic testing was performed using a next-generation sequencing panel or wholeexome sequencing for cardiomyopathies. We performed cardiovascular magnetic resonance if the diagnosis was inconclusive. Genotype-positive HCM was defined as sarcomere gene mutations of pathogenic or likely pathogenic variants. Adverse clinical outcomes were defined as a composite of all-cause death, resuscitated cardiac arrest, heart failure-related admission, appropriate implantable cardioverter defibrillator shocks, and stroke. Results: Of 492 patients (mean age 49.6 ± 14.7 years, 29.4% women) who underwent genetic testing, 214 (43.5%) had disease-causing gene mutations. After combining gene tests, multi-imaging modality, and clinical information, 447 (90.9%) had HCM, and 27 (5.5%) had Fabry disease. Among the HCM patients, 182 (40.7%) were genotype-positive, and 265 (59.3%) were genotype-negative. Kaplan–Meier curve analysis showed that genotype-positive HCM patients experienced more composite outcomes (log-rank, P < 0.001). In multivariable Cox analysis, non-sustained ventricular tachycardia (NSVT) (hazard ratio [HR], 1.91; 95% confidence interval [CI], 1.17–3.12; P = 0.010), left ventricular ejection fraction (LVEF) < 50% (HR, 5.50; 95% CI, 2.68–11.27; P < 0.001), LA reservoir strain (HR, 0.96; 95% CI, 0.93–0.99;P = 0.037), and positive sarcomere gene mutation (HR, 1.70; 95% CI, 1.04–2.78; P = 0.034) were significantly association with composite outcomes. Sarcomere gene mutation had incremental value for predicting adverse outcomes added on NSVT and LVEF < 50%. Conclusion Genetic testing is helpful in diagnosing HCM, and sarcomere gene mutations in HCM are significantly associated with clinical outcomes.

Background: Hypertrophic cardiomyopathy (HCM) needs careful differentiation from other cardiomyopathies. Current guidelines recommend genetic testing, but genetic data on differential diagnoses and their relation with clinical outcomes in HCM are still lacking.This study aimed to investigate the prevalence of genetic variants and the proportion of other cardiomyopathies in patients with suspected HCM in Korea and compare the outcomes of HCM according to the presence of sarcomere gene mutation. Methods: We enrolled 1,554 patients with suspected HCM having left ventricular hypertrophy on transthoracic echocardiography between April 2012 and February 2023. Patients who declined genetic testing or who had pure apical HCM without a familial history were excluded. Genetic testing was performed using a next-generation sequencing panel or wholeexome sequencing for cardiomyopathies. We performed cardiovascular magnetic resonance if the diagnosis was inconclusive. Genotype-positive HCM was defined as sarcomere gene mutations of pathogenic or likely pathogenic variants. Adverse clinical outcomes were defined as a composite of all-cause death, resuscitated cardiac arrest, heart failure-related admission, appropriate implantable cardioverter defibrillator shocks, and stroke. Results: Of 492 patients (mean age 49.6 ± 14.7 years, 29.4% women) who underwent genetic testing, 214 (43.5%) had disease-causing gene mutations. After combining gene tests, multi-imaging modality, and clinical information, 447 (90.9%) had HCM, and 27 (5.5%) had Fabry disease. Among the HCM patients, 182 (40.7%) were genotype-positive, and 265 (59.3%) were genotype-negative. Kaplan–Meier curve analysis showed that genotype-positive HCM patients experienced more composite outcomes (log-rank, P < 0.001). In multivariable Cox analysis, non-sustained ventricular tachycardia (NSVT) (hazard ratio [HR], 1.91; 95% confidence interval [CI], 1.17–3.12; P = 0.010), left ventricular ejection fraction (LVEF) < 50% (HR, 5.50; 95% CI, 2.68–11.27; P < 0.001), LA reservoir strain (HR, 0.96; 95% CI, 0.93–0.99;P = 0.037), and positive sarcomere gene mutation (HR, 1.70; 95% CI, 1.04–2.78; P = 0.034) were significantly association with composite outcomes. Sarcomere gene mutation had incremental value for predicting adverse outcomes added on NSVT and LVEF < 50%. Conclusion Genetic testing is helpful in diagnosing HCM, and sarcomere gene mutations in HCM are significantly associated with clinical outcomes.

Background: Hypertrophic cardiomyopathy (HCM) needs careful differentiation from other cardiomyopathies. Current guidelines recommend genetic testing, but genetic data on differential diagnoses and their relation with clinical outcomes in HCM are still lacking.This study aimed to investigate the prevalence of genetic variants and the proportion of other cardiomyopathies in patients with suspected HCM in Korea and compare the outcomes of HCM according to the presence of sarcomere gene mutation. Methods: We enrolled 1,554 patients with suspected HCM having left ventricular hypertrophy on transthoracic echocardiography between April 2012 and February 2023. Patients who declined genetic testing or who had pure apical HCM without a familial history were excluded. Genetic testing was performed using a next-generation sequencing panel or wholeexome sequencing for cardiomyopathies. We performed cardiovascular magnetic resonance if the diagnosis was inconclusive. Genotype-positive HCM was defined as sarcomere gene mutations of pathogenic or likely pathogenic variants. Adverse clinical outcomes were defined as a composite of all-cause death, resuscitated cardiac arrest, heart failure-related admission, appropriate implantable cardioverter defibrillator shocks, and stroke. Results: Of 492 patients (mean age 49.6 ± 14.7 years, 29.4% women) who underwent genetic testing, 214 (43.5%) had disease-causing gene mutations. After combining gene tests, multi-imaging modality, and clinical information, 447 (90.9%) had HCM, and 27 (5.5%) had Fabry disease. Among the HCM patients, 182 (40.7%) were genotype-positive, and 265 (59.3%) were genotype-negative. Kaplan–Meier curve analysis showed that genotype-positive HCM patients experienced more composite outcomes (log-rank, P < 0.001). In multivariable Cox analysis, non-sustained ventricular tachycardia (NSVT) (hazard ratio [HR], 1.91; 95% confidence interval [CI], 1.17–3.12; P = 0.010), left ventricular ejection fraction (LVEF) < 50% (HR, 5.50; 95% CI, 2.68–11.27; P < 0.001), LA reservoir strain (HR, 0.96; 95% CI, 0.93–0.99;P = 0.037), and positive sarcomere gene mutation (HR, 1.70; 95% CI, 1.04–2.78; P = 0.034) were significantly association with composite outcomes. Sarcomere gene mutation had incremental value for predicting adverse outcomes added on NSVT and LVEF < 50%. Conclusion Genetic testing is helpful in diagnosing HCM, and sarcomere gene mutations in HCM are significantly associated with clinical outcomes.

Background: Hypertrophic cardiomyopathy (HCM) needs careful differentiation from other cardiomyopathies. Current guidelines recommend genetic testing, but genetic data on differential diagnoses and their relation with clinical outcomes in HCM are still lacking.This study aimed to investigate the prevalence of genetic variants and the proportion of other cardiomyopathies in patients with suspected HCM in Korea and compare the outcomes of HCM according to the presence of sarcomere gene mutation. Methods: We enrolled 1,554 patients with suspected HCM having left ventricular hypertrophy on transthoracic echocardiography between April 2012 and February 2023. Patients who declined genetic testing or who had pure apical HCM without a familial history were excluded. Genetic testing was performed using a next-generation sequencing panel or wholeexome sequencing for cardiomyopathies. We performed cardiovascular magnetic resonance if the diagnosis was inconclusive. Genotype-positive HCM was defined as sarcomere gene mutations of pathogenic or likely pathogenic variants. Adverse clinical outcomes were defined as a composite of all-cause death, resuscitated cardiac arrest, heart failure-related admission, appropriate implantable cardioverter defibrillator shocks, and stroke. Results: Of 492 patients (mean age 49.6 ± 14.7 years, 29.4% women) who underwent genetic testing, 214 (43.5%) had disease-causing gene mutations. After combining gene tests, multi-imaging modality, and clinical information, 447 (90.9%) had HCM, and 27 (5.5%) had Fabry disease. Among the HCM patients, 182 (40.7%) were genotype-positive, and 265 (59.3%) were genotype-negative. Kaplan–Meier curve analysis showed that genotype-positive HCM patients experienced more composite outcomes (log-rank, P < 0.001). In multivariable Cox analysis, non-sustained ventricular tachycardia (NSVT) (hazard ratio [HR], 1.91; 95% confidence interval [CI], 1.17–3.12; P = 0.010), left ventricular ejection fraction (LVEF) < 50% (HR, 5.50; 95% CI, 2.68–11.27; P < 0.001), LA reservoir strain (HR, 0.96; 95% CI, 0.93–0.99;P = 0.037), and positive sarcomere gene mutation (HR, 1.70; 95% CI, 1.04–2.78; P = 0.034) were significantly association with composite outcomes. Sarcomere gene mutation had incremental value for predicting adverse outcomes added on NSVT and LVEF < 50%. Conclusion Genetic testing is helpful in diagnosing HCM, and sarcomere gene mutations in HCM are significantly associated with clinical outcomes.

Background: The rapid economic development of South Korea provides a unique model to study changes in the clinical characteristics, treatment approaches, and clinical outcomes of patients with rheumatic mitral stenosis (MS) relative to socioeconomic growth. Methods: From the Multicenter mitrAl STEnosis with Rheumatic etiology (MASTER) registry, 2,337 patients diagnosed with moderate or severe rheumatic MS between January 2001 and December 2020 were analyzed. Patients were grouped into consecutive 5-year intervals based on their year of diagnosis. Clinical characteristics, echocardiographic data, and clinical outcomes were assessed. Results: Over 20 years, the severity of mitral stenosis increased from 79.1% to 90.2%; similarly, the average age at diagnosis increased from 54.3 to 63.0 years (all P < 0.001). Comorbidities such as hypertension and atrial fibrillation increased (6.3% to 29.5% and 41.4% to 46.9%, respectively; all P for trend < 0.05). The rate of mitral intervention within five years after diagnosis increased from 31.2% to 47.4% (P for trend < 0.001). However, clinical outcomes of rheumatic mitral stenosis deteriorated over time in the composite outcomes (log-rank test, P < 0.001). Conversely, the incidence of stroke remained stable (60.6–73.7%; P < 0.001), which might be attributed to the increased use of anticoagulation therapy. Conclusion This study observed an increase in patient age, comorbidities, and valve disease severity as the country transitioned from a developing to developed status. Despite a rise in mitral valve interventions, clinical outcomes deteriorated over 20 years, highlighting the need for modified treatment approaches to improve patient outcomes.

We aimed to develop evidence-based recommendations for treating axial spondylarthritis (axSpA) in Korea. The development committee was constructed, key clinical questions were determined, and the evidence was searched through online databases including MEDLINE, Embase, Cochrane, KoreaMed, and KMbase. Systematic literature reviews were conducted, quality of evidence was determined, and draft recommendations were formulated according to the Grading of Recommendations Assessment, Development, and Evaluations methodology. Recommendations that reached 80% consensus among a voting panel were finalized. Three principles and 21 recommendations were determined. Recommendations 1 and 2 pertain to treatment strategies, regular disease status assessment, and rheumatologist-steered multidisciplinary management. Recommendations 3 and 4 strongly recommend patient education, exercise, and smoking cessation. Recommendations 5~12 address pharmacological treatment of active disease using nonsteroidal anti-inflammatory drugs, glucocorticoids, sulfasalazine, biologics, and Janus kinase inhibitors.Recommendations 13~16 address treatment in stable disease. We suggest against spa and acupuncture as therapies (Recommendation 17). Recommendations 18 and 19 pertain to total hip arthroplasty and spinal surgery. Monitoring of comorbidities and drug toxicities are recommended (Recommendations 20 and 21). Recommendations for axSpA treatment in a Korean context were developed based on comprehensive clinical questions and evidence. These are intended to guide best practice in the treatment of axSpA.

Objective: To develop a deep-learning-based bone age prediction model optimized for Korean children and adolescents and evaluate its feasibility by comparing it with a Greulich-Pyle-based deep-learning model. Materials and Methods: A convolutional neural network was trained to predict age according to the bone development shown on a hand radiograph (bone age) using 21036 hand radiographs of Korean children and adolescents without known bone development-affecting diseases/conditions obtained between 1998 and 2019 (median age [interquartile range {IQR}], 9 [7–12] years; male:female, 11794:9242) and their chronological ages as labels (Korean model). We constructed 2 separate external datasets consisting of Korean children and adolescents with healthy bone development (Institution 1: n = 343;median age [IQR], 10 [4–15] years; male: female, 183:160; Institution 2: n = 321; median age [IQR], 9 [5–14] years; male:female, 164:157) to test the model performance. The mean absolute error (MAE), root mean square error (RMSE), and proportions of bone age predictions within 6, 12, 18, and 24 months of the reference age (chronological age) were compared between the Korean model and a commercial model (VUNO Med-BoneAge version 1.1; VUNO) trained with Greulich-Pyle-based age as the label (GP-based model). Results: Compared with the GP-based model, the Korean model showed a lower RMSE (11.2 vs. 13.8 months; P = 0.004) and MAE (8.2 vs. 10.5 months; P = 0.002), a higher proportion of bone age predictions within 18 months of chronological age (88.3% vs. 82.2%; P = 0.031) for Institution 1, and a lower MAE (9.5 vs. 11.0 months; P = 0.022) and higher proportion of bone age predictions within 6 months (44.5% vs. 36.4%; P = 0.044) for Institution 2. Conclusion The Korean model trained using the chronological ages of Korean children and adolescents without known bone development-affecting diseases/conditions as labels performed better in bone age assessment than the GP-based model in the Korean pediatric population. Further validation is required to confirm its accuracy.