Background: The Jr a antigen is a high-prevalence red blood cell (RBC) antigen. Reports on cases of fatal hemolytic disease of the fetus and newborn and acute hemolytic transfusion reactions suggest that antibodies against Jr a (anti-Jra ) have potential clinical significance.Identifying anti-Jra is challenging owing to a lack of commercially available antisera. We developed an alternative approach to rapidly predict the presence of anti-Jra using the TaqMan single-nucleotide polymorphism (SNP)-genotyping method. Methods: Residual peripheral blood samples from 10 patients suspected of having the anti-Jr a were collected. Two samples with confirmed Jr(a–) RBCs and anti-Jra were used to validate the TaqMan genotyping assay by comparing the genotyping results with direct sequencing. The accuracy of the assay in predicting the presence of anti-Jra was verified through crossmatching with in-house Jr(a–) O+ RBCs. Results: The TaqMan-genotyping method was validated with two Jr(a–) RBC- and anti-Jra -confirmed samples that showed concordant Jr a genotyping and direct sequencing results.Jra genotyping for the remaining samples and crossmatching the serum samples with inhouse Jr(a–) O+ RBCs showed consistent results. Conclusions We validated a rapid, simple, accurate, and cost-effective method for predicting the presence of anti-Jra using a TaqMan-based SNP-genotyping assay. Implementing this method in routine practice in clinical laboratories will assist in solving difficult problems regarding alloantibodies to high-prevalence RBC antigens and ultimately aid in providing safe and timely transfusions and proper patient care.

Background: The Jr a antigen is a high-prevalence red blood cell (RBC) antigen. Reports on cases of fatal hemolytic disease of the fetus and newborn and acute hemolytic transfusion reactions suggest that antibodies against Jr a (anti-Jra ) have potential clinical significance.Identifying anti-Jra is challenging owing to a lack of commercially available antisera. We developed an alternative approach to rapidly predict the presence of anti-Jra using the TaqMan single-nucleotide polymorphism (SNP)-genotyping method. Methods: Residual peripheral blood samples from 10 patients suspected of having the anti-Jr a were collected. Two samples with confirmed Jr(a–) RBCs and anti-Jra were used to validate the TaqMan genotyping assay by comparing the genotyping results with direct sequencing. The accuracy of the assay in predicting the presence of anti-Jra was verified through crossmatching with in-house Jr(a–) O+ RBCs. Results: The TaqMan-genotyping method was validated with two Jr(a–) RBC- and anti-Jra -confirmed samples that showed concordant Jr a genotyping and direct sequencing results.Jra genotyping for the remaining samples and crossmatching the serum samples with inhouse Jr(a–) O+ RBCs showed consistent results. Conclusions We validated a rapid, simple, accurate, and cost-effective method for predicting the presence of anti-Jra using a TaqMan-based SNP-genotyping assay. Implementing this method in routine practice in clinical laboratories will assist in solving difficult problems regarding alloantibodies to high-prevalence RBC antigens and ultimately aid in providing safe and timely transfusions and proper patient care.

Background: The Jr a antigen is a high-prevalence red blood cell (RBC) antigen. Reports on cases of fatal hemolytic disease of the fetus and newborn and acute hemolytic transfusion reactions suggest that antibodies against Jr a (anti-Jra ) have potential clinical significance.Identifying anti-Jra is challenging owing to a lack of commercially available antisera. We developed an alternative approach to rapidly predict the presence of anti-Jra using the TaqMan single-nucleotide polymorphism (SNP)-genotyping method. Methods: Residual peripheral blood samples from 10 patients suspected of having the anti-Jr a were collected. Two samples with confirmed Jr(a–) RBCs and anti-Jra were used to validate the TaqMan genotyping assay by comparing the genotyping results with direct sequencing. The accuracy of the assay in predicting the presence of anti-Jra was verified through crossmatching with in-house Jr(a–) O+ RBCs. Results: The TaqMan-genotyping method was validated with two Jr(a–) RBC- and anti-Jra -confirmed samples that showed concordant Jr a genotyping and direct sequencing results.Jra genotyping for the remaining samples and crossmatching the serum samples with inhouse Jr(a–) O+ RBCs showed consistent results. Conclusions We validated a rapid, simple, accurate, and cost-effective method for predicting the presence of anti-Jra using a TaqMan-based SNP-genotyping assay. Implementing this method in routine practice in clinical laboratories will assist in solving difficult problems regarding alloantibodies to high-prevalence RBC antigens and ultimately aid in providing safe and timely transfusions and proper patient care.

Background: The Jr a antigen is a high-prevalence red blood cell (RBC) antigen. Reports on cases of fatal hemolytic disease of the fetus and newborn and acute hemolytic transfusion reactions suggest that antibodies against Jr a (anti-Jra ) have potential clinical significance.Identifying anti-Jra is challenging owing to a lack of commercially available antisera. We developed an alternative approach to rapidly predict the presence of anti-Jra using the TaqMan single-nucleotide polymorphism (SNP)-genotyping method. Methods: Residual peripheral blood samples from 10 patients suspected of having the anti-Jr a were collected. Two samples with confirmed Jr(a–) RBCs and anti-Jra were used to validate the TaqMan genotyping assay by comparing the genotyping results with direct sequencing. The accuracy of the assay in predicting the presence of anti-Jra was verified through crossmatching with in-house Jr(a–) O+ RBCs. Results: The TaqMan-genotyping method was validated with two Jr(a–) RBC- and anti-Jra -confirmed samples that showed concordant Jr a genotyping and direct sequencing results.Jra genotyping for the remaining samples and crossmatching the serum samples with inhouse Jr(a–) O+ RBCs showed consistent results. Conclusions We validated a rapid, simple, accurate, and cost-effective method for predicting the presence of anti-Jra using a TaqMan-based SNP-genotyping assay. Implementing this method in routine practice in clinical laboratories will assist in solving difficult problems regarding alloantibodies to high-prevalence RBC antigens and ultimately aid in providing safe and timely transfusions and proper patient care.

Purpose: We aimed to comprehensively analyze the immune cell and stromal components of tumor microenvironment at the single-cell level and identify tumor heterogeneity among the major top-derived oncogene mutations in non-small cell lung cancer (NSCLC) using single-cell RNA sequencing (scRNA-seq) data. Materials and Methods: The scRNA-seq dataset utilized in this study comprised 64369 primary tumor tissue cells from 21 NSCLC patients, focusing on mutations in EGFR, ALK, BRAF, KRAS, TP53, and the wild-type. Results: Tumor immune microenvironment (TIM) analysis revealed differential immune responses across NSCLC mutation subtypes. TIM analysis revealed different immune responses across the mutation subtypes. Two mutation clusters emerged: KRAS, TP53, and EGFR+TP53 mutations (MC1); and EGFR, BRAF, and ALK mutations (MC2). MC1 showed higher tertiary lymphoid structures signature scores and enriched populations of C2-T-IL7R, C3-T/NK-CXCL4, C9-T/NK-NKG, and C1-B-MS4A1 clusters than cluster 2. Conversely, MC2 cells exhibited higher expression levels of TNF, IL1B, and chemokines linked to alternative immune pathways. Remarkably, co-occurring EGFR and TP53 mutations were grouped as MC1. EGFR+TP53 mutations showed upregulation of peptide synthesis and higher synthetic processes, as well as differences in myeloid and T/NK cells compared to EGFR mutations. In T/NK cells, EGFR+TP53 mutations showed a higher expression of features related to cell activity and differentiation, whereas EGFR mutations showed the opposite. Conclusion Our research indicates a close association between mutation types and tumor microenvironment in NSCLC, offering insights into personalized approaches for cancer diagnosis and treatment.

Purpose: We aimed to comprehensively analyze the immune cell and stromal components of tumor microenvironment at the single-cell level and identify tumor heterogeneity among the major top-derived oncogene mutations in non-small cell lung cancer (NSCLC) using single-cell RNA sequencing (scRNA-seq) data. Materials and Methods: The scRNA-seq dataset utilized in this study comprised 64369 primary tumor tissue cells from 21 NSCLC patients, focusing on mutations in EGFR, ALK, BRAF, KRAS, TP53, and the wild-type. Results: Tumor immune microenvironment (TIM) analysis revealed differential immune responses across NSCLC mutation subtypes. TIM analysis revealed different immune responses across the mutation subtypes. Two mutation clusters emerged: KRAS, TP53, and EGFR+TP53 mutations (MC1); and EGFR, BRAF, and ALK mutations (MC2). MC1 showed higher tertiary lymphoid structures signature scores and enriched populations of C2-T-IL7R, C3-T/NK-CXCL4, C9-T/NK-NKG, and C1-B-MS4A1 clusters than cluster 2. Conversely, MC2 cells exhibited higher expression levels of TNF, IL1B, and chemokines linked to alternative immune pathways. Remarkably, co-occurring EGFR and TP53 mutations were grouped as MC1. EGFR+TP53 mutations showed upregulation of peptide synthesis and higher synthetic processes, as well as differences in myeloid and T/NK cells compared to EGFR mutations. In T/NK cells, EGFR+TP53 mutations showed a higher expression of features related to cell activity and differentiation, whereas EGFR mutations showed the opposite. Conclusion Our research indicates a close association between mutation types and tumor microenvironment in NSCLC, offering insights into personalized approaches for cancer diagnosis and treatment.

Purpose: We aimed to comprehensively analyze the immune cell and stromal components of tumor microenvironment at the single-cell level and identify tumor heterogeneity among the major top-derived oncogene mutations in non-small cell lung cancer (NSCLC) using single-cell RNA sequencing (scRNA-seq) data. Materials and Methods: The scRNA-seq dataset utilized in this study comprised 64369 primary tumor tissue cells from 21 NSCLC patients, focusing on mutations in EGFR, ALK, BRAF, KRAS, TP53, and the wild-type. Results: Tumor immune microenvironment (TIM) analysis revealed differential immune responses across NSCLC mutation subtypes. TIM analysis revealed different immune responses across the mutation subtypes. Two mutation clusters emerged: KRAS, TP53, and EGFR+TP53 mutations (MC1); and EGFR, BRAF, and ALK mutations (MC2). MC1 showed higher tertiary lymphoid structures signature scores and enriched populations of C2-T-IL7R, C3-T/NK-CXCL4, C9-T/NK-NKG, and C1-B-MS4A1 clusters than cluster 2. Conversely, MC2 cells exhibited higher expression levels of TNF, IL1B, and chemokines linked to alternative immune pathways. Remarkably, co-occurring EGFR and TP53 mutations were grouped as MC1. EGFR+TP53 mutations showed upregulation of peptide synthesis and higher synthetic processes, as well as differences in myeloid and T/NK cells compared to EGFR mutations. In T/NK cells, EGFR+TP53 mutations showed a higher expression of features related to cell activity and differentiation, whereas EGFR mutations showed the opposite. Conclusion Our research indicates a close association between mutation types and tumor microenvironment in NSCLC, offering insights into personalized approaches for cancer diagnosis and treatment.

Background: Extracorporeal membrane oxygenation (ECMO) is the only treatment option that can stabilize patients with congenital diaphragmatic hernia (CDH) with severe pulmonary hypertension. This study assessed the effects of a multidisciplinary ECMO team approach (META) as part of a quality improvement initiative aimed at enhancing the survival rates of neonates with CDH. Methods: The medical records of infants with CDH treated at a tertiary center were retrospectively reviewed. Patients were categorized into two groups based on META implementation. The META group (P2) were given key interventions, including on-site ECMO management within the neonatal intensive care unit (NICU), use of venoarterial modality, ECMO indication as a priority even before the use of inhaled nitric oxide, and preplanned surgery following ECMO discontinuation. These approaches were compared with standard protocols in the pre-META group (P1) to assess their effects on clinical outcomes, particularly in-hospital mortality. Results: Over a 16-year period, 322 patients were included. P2 had a significantly higher incidence of non-isolated CDH and higher rate of cesarean section compared with P1.Moreover, P2 had delayed time to surgical repair (9.4 ± 8.0 days) compared with P1 (6.7 ± 7.3 days) (P = 0.004). The overall survival rate at NICU discharge was 72.7%, with a significant improvement from P1 (66.3%, 132/199) to P2 (82.9%, 102/123) (P = 0.001). Among the 68 patients who received ECMO, P2 had significantly lower baseline oxygenation index and serum lactate levels before ECMO cannulation than P1. The survival rate of patients who received ECMO also remarkably improved from P1 (21.1%, 8/38) to P2 (56.7%, 17/30).Subgroups who could be weaned from ECMO before 2 weeks after cannulation showed the best survival rate. Conclusion META significantly improved the survival rate of newborn infants with CDH.Further interventions, including prenatal intervention and novel ECMO strategies, may help improve the clinical outcomes and quality of life.

Background: Extracorporeal membrane oxygenation (ECMO) is the only treatment option that can stabilize patients with congenital diaphragmatic hernia (CDH) with severe pulmonary hypertension. This study assessed the effects of a multidisciplinary ECMO team approach (META) as part of a quality improvement initiative aimed at enhancing the survival rates of neonates with CDH. Methods: The medical records of infants with CDH treated at a tertiary center were retrospectively reviewed. Patients were categorized into two groups based on META implementation. The META group (P2) were given key interventions, including on-site ECMO management within the neonatal intensive care unit (NICU), use of venoarterial modality, ECMO indication as a priority even before the use of inhaled nitric oxide, and preplanned surgery following ECMO discontinuation. These approaches were compared with standard protocols in the pre-META group (P1) to assess their effects on clinical outcomes, particularly in-hospital mortality. Results: Over a 16-year period, 322 patients were included. P2 had a significantly higher incidence of non-isolated CDH and higher rate of cesarean section compared with P1.Moreover, P2 had delayed time to surgical repair (9.4 ± 8.0 days) compared with P1 (6.7 ± 7.3 days) (P = 0.004). The overall survival rate at NICU discharge was 72.7%, with a significant improvement from P1 (66.3%, 132/199) to P2 (82.9%, 102/123) (P = 0.001). Among the 68 patients who received ECMO, P2 had significantly lower baseline oxygenation index and serum lactate levels before ECMO cannulation than P1. The survival rate of patients who received ECMO also remarkably improved from P1 (21.1%, 8/38) to P2 (56.7%, 17/30).Subgroups who could be weaned from ECMO before 2 weeks after cannulation showed the best survival rate. Conclusion META significantly improved the survival rate of newborn infants with CDH.Further interventions, including prenatal intervention and novel ECMO strategies, may help improve the clinical outcomes and quality of life.

Purpose: To investigate the prevalence of lower urinary tract symptoms/benign prostatic hyperplasia in a Korean population. Materials and Methods: The Korean Prostate & Voiding Health Association provided free prostate-related community health care and conducted surveys in all regions of Korea from 2001 to 2022 with the cooperation of local government public health centers. A total of 72,068 males older than 50 were surveyed and analyzed. History taking, International Prostate Symptom Score (IPSS), transrectal ultrasonography, prostate-specific antigen (PSA) testing, uroflowmetry, and urine volume testing were performed. Results: The mean prostate volumes in males in their 50s, 60s, 70s, and 80s or above were 24.7 g, 27.7 g, 31 g, and 33.7 g, respectively. The proportion of males with high PSA greater than 3 ng/mL was 3.8% among males in their 50s, 7.7% among males in their 60s, 13.1% among males in their 70s, and 17.9% among males 80 years of age or older. The mean IPSS total scores in males in their 50s, 60s, 70s, and 80s or above were 10.7, 12.7, 14.5, and 16, respectively. Severe symptoms were reported by 27.3% of males, whereas 51.7% reported moderate symptoms. The mean Qmax in males in their 50s, 60s, 70s, and 80s or above were 20 mL/s, 17.4 mL/s, 15.4 mL/s, and 13.8 mL/s, respectively. Conclusions In this population-based study, mean prostate volume, IPSS, PSA, and Qmax were 30.6±15.1 g, 14.8±8.2, 1.9±4.7 ng/mL, and 15.6±6.5 mL/s, respectively. Aging was significantly associated with increased prostate volume, PSA levels, and IPSS scores, and with decreased Qmax and urine volume.