Purpose: Numerous patients experience long-term complications after hematopoietic stem cell transplantation (HSCT). This study aimed to identify the frequency and risk factors for psychiatric and endocrine complications following HSCT through big data analyses. Materials and Methods: We established a cohort of patients with hematologic disease who underwent HSCT in Korea between 2010 and 2012 using the Health Insurance Review & Assessment Service data. A total of 3,636 patients were identified, and insurance claims were tracked using psychiatric and endocrine diagnostic International Classification of Diseases, 10th Revision codes for the ensuing decade. We identified the incidence rates of long-term complications based on the baseline disease and HSCT type. Prognostic factors for each complication were scrutinized using logistic regression analysis. Results: A total of 1,879 patients underwent allogeneic HSCT and 1,757 patients received autologous HSCT. Post-HSCT, 506 patients were diagnosed with depression, 465 with anxiety disorders, and 659 with diabetes. The highest incidence of long-term complications occurred within the first year post-HSCT (12.2%), subsequently decreasing over time. Risk factors for depressive disorders after allogeneic HSCT included female sex, a total body irradiation–based conditioning regimen, and cyclosporine. Identified risk factors for diabetes mellitus comprised old age, total body irradiation–based conditioning regimen, and non-antithymocyte globulin protocol. Regarding autologous HSCT, only female sex was identified as a risk factor for depressive disorders, whereas elderly patients and those with multiple myeloma were identified as poor prognostic factors for diabetes mellitus. Conclusion The incidence of long-term psychiatric and endocrine complications post-HSCT remains high, and patients with risk factors for these complications require vigilant follow-up.

Purpose: Due to the shortage of lung donors relative to the number of patients waiting for lung transplantation (LTx), more than one-third of patients on the waitlist have died without receiving LTx in Korea. Therefore, the importance of fair and effective allocation policies has been emphasized. This study investigated the characteristics of the current urgency-based allocation system in Korea by simulating the Eurotransplant lung allocation score (ET-LAS) using a nationwide multi-institutional registry for LTx in Korea. Materials and Methods: This study used data from the Korean Organ Transplantation Registry (KOTRY), along with additional retrospective data for ET-LAS calculation. A total of 194 patients were included in this study between January 2015 and December 2019. The Korean urgency definition classifies an LTx candidate as having statuses 0–3 according to urgency. The ET-LAS was analyzed according to the Korean urgency status. Results: In total, 92 patients received lung transplants at status 0, 85 at status 1, and 17 at status 2/3. The ET-LAS showed a bimodal distribution with distinct peaks corresponding to status 0 and non-status 0. There was no significant difference in the ET-LAS among non-status 0 patients. In logistic and decision tree analyses, oxygen supplementation methods, particularly oxygen masks and high-flow nasal cannulas, were significantly associated with a high ET-LAS (≥50) among non-status 0 patients. Conclusion Simulation of the ET-LAS with KOTRY data showed that the Korean urgency definition may not allocate lungs by urgency, especially for patients in non-status 0; therefore, it needs to be revised.

Background/Aims: Although rituximab, an antiCD20 monoclonal antibody, has dramatically improved the clinical outcomes of diffuse large B-cell lymphoma, rituximab resistance remains a challenge. Methods: We developed a rituximab-resistant cell line (RRCL) by sequential exposure to gradually increasing concentrations of rituximab in a rituximab-sensitive cell line (RSCL). When the same dose of rituximab was administered, RRCL showed a smaller decrease in cell viability and apoptosis than RSCL. To determine the differences in gene expression between RSCL and RRCL, we performed next-generation sequencing. Results: In total, 1,879 differentially expressed genes were identified, and in the over-representation analysis of Consensus-PathDB, mitogen-activated protein kinase (MAPK) signaling pathway showed statistical significance. MAPK13, which encodes the p38δ protein, was expressed more than four-fold in RRCL. Western blot analysis revealed that phosphop38 expression mainwas increased in RRCL, and when p38 inhibitor was administered, phosphop38 expression was significantly decreased. Therefore, we hypothesized that p38 MAPK activation was associated with rituximab resistance. Previous studies have suggested that p38 is associated with NF-κB activation. Deferasirox has been reported to inhibit NF-κB activity and suppress phosphorylation of the MAPK pathway. Furthermore, it also has cytotoxic effects on various cancers and synergistic effects in overcoming drug resistance. In this study, we confirmed that deferasirox induced dose-dependent cytotoxicity in both RSCL and RRCL, and the combination of deferasirox and rituximab showed a synergistic effect in RRCL at all combination concentrations. Conclusions We suggest that p38 MAPK, especially p38δ, activation is associated with rituximab resistance, and deferasirox may be a candidate to overcome rituximab resistance.

The fifth edition of the WHO classification (2022 WHO) and the International Consensus Classification (2022 ICC) of myeloid neoplasms have been recently published. We reviewed the changes in the diagnosis distribution in patients with MDS with excess blasts (MDS-EB) or AML using both classifications. Forty-seven patients previously diagnosed as having AML or MDS-EB with available mutation analysis data, including targeted next-generation and RNA-sequencing data, were included. We reclassified 15 (31.9%) and 27 (57.4%) patients based on the 2022 WHO and 2022 ICC, respectively. One patient was reclassified as having a translocation categorized as a rare recurring translocation in both classifications. Reclassification was mostly due to the addition of mutation-based diagnostic criteria (i.e., AML, myelodysplasia-related) or a new entity associated with TP53 mutation. In both classifications, MDS diagnosis required the confirmation of multi-hit TP53 alterations. Among 14 patients with TP53 mutations, 11 harbored multi-hit TP53 alterations, including four with TP53 mutations and loss of heterozygosity. Adverse prognosis was associated with multi-hit TP53 alterations (P=0.009) in patients with MDS-EB, emphasizing the importance of detecting the mutations at diagnosis. The implementation of these classifications may lead to the identification of different subtypes from previously heterogeneous diagnostic categories based on genetic characteristics.

Till date, researchers have been developing animal models of Alzheimer’s disease (AD) in various species to understand the pathological characterization and molecular mechanistic pathways associated with this condition in humans to identify potential therapeutic treatments. A widely recognized AD model that mimics the pathology of human AD involves the intracerebroventricular (ICV) injection with streptozotocin (STZ).However, ICV injection as an invasive approach has several limitations related to complicated surgical procedures. Therefore, in the present study, we created a customized stereotaxic frame using the XperCT-guided system for injecting STZ in cynomolgus monkeys, aiming to establish an AD model. The anatomical structures surrounding the cisterna magna (CM) were confirmed using CT/MRI fusion images of monkey brain with XperCT, the c-arm cone beam computed tomography. XperCT was used to determine the appropriate direction in which the needle tip should be inserted within the CM region. Cerebrospinal fluid (CSF) was collected to confirm the accurate target site when STZ was injected into the CM.Cynomolgus monkeys were administered STZ dissolved in artificial CSF once every week for 4 weeks via intracisterna magna (ICM) injection using XperCT-guided stereotactic system. The molecular mechanisms underlying the progression of STZ-induced AD pathology were analyzed two weeks after the final injection. The monkeys subjected to XperCT-based STZ injection via the ICM route showed features of AD pathology, including markedly enhanced neuronal loss, synaptic impairment, and tau phosphorylation in the hippocampus. These findings suggest a new approach for the construction of neurodegenerative disease models and development of therapeutic strategies.

Background: The demand for lung transplants continues to increase in Korea, and donor shortages and waitlist mortality are critical issues. This study aimed to evaluate the factors that affect waitlist outcomes from the time of registration for lung transplantation in Korea. Methods: Data were obtained from the Korean Network for Organ Sharing for lung-only registrations between September 7, 2009, and December 31, 2020. Post-registration outcomes were evaluated according to the lung disease category, blood group, and age. Results: Among the 1,671 registered patients, 49.1% had idiopathic pulmonary fibrosis (group C), 37.0% had acute respiratory distress syndrome and other interstitial lung diseases (group D), 7.2% had chronic obstructive pulmonary disease (group A), and 6.6% had primary pulmonary hypertension (group B). Approximately half of the patients (46.1%) were transplanted within 1 year of registration, while 31.8% died without receiving a lung transplant within 1 year of registration. Data from 1,611 patients were used to analyze 1-year postregistration outcomes, which were classified as transplanted (46.1%, n = 743), still awaiting (21.1%, n = 340), removed (0.9%, n = 15), and death on waitlist (31.8%, n = 513). No significant difference was found in the transplantation rate according to the year of registration. However, significant differences occurred between the waitlist mortality rates (P = 0.008) and the still awaiting rates (P = 0.009). The chance of transplantation after listing varies depending on the disease category, blood type, age, and urgency status. Waitlist mortality within 1 year was significantly associated with non-group A disease (hazard ratio [HR], 2.76, P < 0.001), age ≥ 65 years (HR, 1.48, P < 0.001), and status 0 at registration (HR, 2.10, P < 0.001). Conclusion Waitlist mortality is still higher in Korea than in other countries. Future revisions to the lung allocation system should take into consideration the high waitlist mortality and donor shortages.

Composite lymphoma is very rare and a combination of Hodgkin lymphoma and non-Hodgkin lymphoma and even histiocytic tumors can occur. Because of the unfamiliarity, not only can this cause diagnostic problems, but can also affect treatment plan. We report a case of composite lymphoma in a 40-year-old male. Initial biopsy showed a composite lymphoma of follicular lymphoma grade 1 and classic Hodgkin lymphoma. After chemotherapy, another lymph node was taken because of disease progression, which revealed follicular lymphoma, grade 3a without Hodgkin lymphoma component.

Background/Aims: Relatively little data are available on how the response to the coronavirus disease 2019 (COVID-19) pandemic has affected treatment outcomes in patients receiving chemotherapy for lymphoma or multiple myeloma. We aimed to determine the effect of COVID-19 countermeasures on treatment outcomes in this patient population. Methods: We retrospectively analyzed data on patients treated for lymphoma or multiple myeloma in two tertiary hospitals in Seoul. Patients were divided into two groups: group 1 included patients who received chemotherapy between September and December 2019 (the control period), and group 2 included patients who received chemotherapy between September and December 2020 (the study period). Countermeasures to COVID-19 were applied to the patients in group 2. The countermeasures implemented included mask wearing and regular handwashing at home and in hospital; COVID-19 risk assessments on all hospital visitors; and pre-emptive COVID-19 screening for all newly hospitalized patients and their resident guardians. Results: No differences in treatment outcomes, including treatment response, incidence and duration of neutropenia or neutropenic fever, delays in chemotherapy, or number of deaths during chemotherapy, were observed between the g roups. None of the patients in group 2 tested positive for COVID-19, and there were no COVID-19-related deaths during the study period. Conclusions Countermeasures to COVID-19 did not affect treatment outcomes in patients receiving chemotherapy for lymphoma or multiple myeloma. Data on the effect of countermeasures to COVID-19 on treatment outcomes should continue to be analyzed to ensure that treatment outcomes are not adversely affected.

Background/Aims: The diagnosis of immune thrombocytopenia (ITP) is based on clinical manifestations and there is no gold standard. Thus, even hematologic malignancy is sometimes misdiagnosed as ITP and adequate treatment is delayed. Therefore, novel diagnostic parameters are needed to distinguish ITP from other causes of thrombocytopenia. Immature platelet fraction (IPF) has been proposed as one of new parameters. In this study, we assessed the usefulness of IPF and developed a diagnostic predictive scoring model for ITP. Methods: We retrospectively studied 568 patients with thrombocytopenia. Blood samples were collected and IPF quantified using a fully-automated hematology analyzer. We also estimated other variables that could affect thrombocytopenia by logistic regression analysis. Results: The median IPF was significantly higher in the ITP group than in the non-ITP group (8.7% vs. 5.1%). The optimal cut-off value of IPF for differentiating ITP was 7.0%. We evaluated other laboratory variables via logistic regression analysis. IPF, hemoglobin, lactate dehydrogenase (LDH), and ferritin were statistically significant and comprised a diagnostic predictive scoring model. Our model gave points to each of variables: 1 to high hemoglobin (> 12 g/dL), low ferritin (≤ 177 ng/ mL), normal LDH (≤ upper limit of normal) and IPF ≥ 7 and < 10, 2 to IPF ≥ 10. The final score was obtained by summing the points. We defined that ITP could be predicted in patients with more than 3 points. Conclusions IPF could be a useful parameter to distinguish ITP from other causes of thrombocytopenia. We developed the predictive scoring model. This model could predict ITP with high probability.