Background: The discovery and evaluation of reliable biomarkers of vitiligo are important;however, no clinically established serological markers exist for predicting the clinical prognosis of vitiligo. Objective: To investigate the levels of SOX10 and lamin A/C antibodies in the serum of patients diagnosed with vitiligo. Methods: In this multicenter prospective study, blood serum samples were collected from adult vitiligo patients. The levels of SOX10 and lamin A/C antibodies were analyzed by direct sandwich enzyme-linked immunosorbent assay. Antibody levels between the groups were compared according to disease activity and subtype. Results: A total of 80 patients (46 females; median age 60 years) were enrolled, including 56 (70%) with nonsegmental vitiligo and 27 (33.7%) with active disease. Positivity for SOX10 and lamin A/C antibodies was observed in 35.0% and 71.3% of patients, respectively. SOX10 positivity was significantly higher in active vitiligo than in stable vitiligo (59.3% vs. 24.5%; p=0.003), whereas lamin A/C positivity did not show significant difference (77.8% vs. 69.8%; p=0.60).No significant associations were found between SOX10 or lamin A/C status and the subtype, extent, or the presence of antinuclear antibody, anti-thyroid peroxidase, or anti-thyroglobulin (all p>0.05). Conclusion SOX10 antibody could be a potential marker for assessing disease activity in vitiligo. The increased production of SOX10 antibodies in the serum may be due to the underlying death or turnover of SOX10 containing cells under active autoimmune response.

We updated the Korean Society of Gynecologic Oncology (KSGO) practice guideline for the management of ovarian cancer as version 5.1. The ovarian cancer guideline team of the KSGO published announced the fifth version (version 5.0) of its clinical practice guidelines for the management of ovarian cancer in December 2023. In version 5.0, the selection of the key questions and the systematic reviews were based on the data available up to December 2022.Therefore, we updated the guidelines version 5.0 with newly accumulated clinical data and added 5 new key questions reflecting the latest insights in the field of ovarian cancer between 2023 and 2024. For each question, recommendation was provided together with corresponding level of evidence and grade of recommendation, all established through expert consensus.

We updated the Korean Society of Gynecologic Oncology (KSGO) practice guideline for the management of ovarian cancer as version 5.1. The ovarian cancer guideline team of the KSGO published announced the fifth version (version 5.0) of its clinical practice guidelines for the management of ovarian cancer in December 2023. In version 5.0, the selection of the key questions and the systematic reviews were based on the data available up to December 2022.Therefore, we updated the guidelines version 5.0 with newly accumulated clinical data and added 5 new key questions reflecting the latest insights in the field of ovarian cancer between 2023 and 2024. For each question, recommendation was provided together with corresponding level of evidence and grade of recommendation, all established through expert consensus.

We updated the Korean Society of Gynecologic Oncology (KSGO) practice guideline for the management of ovarian cancer as version 5.1. The ovarian cancer guideline team of the KSGO published announced the fifth version (version 5.0) of its clinical practice guidelines for the management of ovarian cancer in December 2023. In version 5.0, the selection of the key questions and the systematic reviews were based on the data available up to December 2022.Therefore, we updated the guidelines version 5.0 with newly accumulated clinical data and added 5 new key questions reflecting the latest insights in the field of ovarian cancer between 2023 and 2024. For each question, recommendation was provided together with corresponding level of evidence and grade of recommendation, all established through expert consensus.

Objective: We aimed to identify the main oncogenic pathway by histological type of ovarian cancer based on Next-generation sequencing (NGS) test and to determine the correlation with clinical prognosis. Methods: We conducted a retrospective review of 420 patients with ovarian cancer who underwent NGS testing at Asan Medical Center from June 1, 2017, to May 31, 2021. Identified mutations were categorized into seven oncogenic pathways that are most frequently associated with ovarian cancer. Results: The average number of oncogenic pathways involved in each cancer patient was 1.76 (range, 0–6). TP53 mutation was the primary oncogenic pathway in patients with high-grade serous carcinoma (HGSC) (92.8%) and carcinosarcoma (87.5%). MAP kinase signaling was the primary oncogenic pathway in low-grade serous carcinoma (58.3%) and mucinous carcinoma (54.5%). The involvement of more diverse oncogenic pathways has been identified in patients with endometrioid carcinoma and clear cell carcinoma and PI3KAKT-mTOR signaling and SWI/SNF family pathways were the most common in both groups.The involvement of the DNA damage response pathway showed an association with better progression free survival (PFS), but not with overall survival (OS) in patients with HGSC. On the other hand, the involvement of the RTK signaling family pathway showed an association with better OS despite no association with PFS in patients with HGSC. Conclusion The clinical prognosis may be improved by implementing targeted treatment tailored to the patient's genetic profile through NGS. Additional research is needed to determine whether the involvement of the RTK signaling family pathway is indeed associated with better OS and to identify the underlying reasons for this association.

Since the latest practice guidelines for ovarian cancer were developed by the Korean Society of Gynecologic Oncology (KSGO) in 2021, many studies have examined the efficacy and safety of various treatments for epithelial ovarian cancer (EOC). Therefore, the need to develop recommendations for EOC treatments has been raised. This study searched the literature using 4 key items and the Population, Intervention, Comparison, and Outcome: the efficacy and safety of poly-ADP ribose polymerase inhibitors in newly diagnosed advanced EOC; the efficacy and safety of intraperitoneal plus intravenous chemotherapy in optimally debulked advanced EOC; the efficacy and safety of secondary cytoreductive surgery in platinumsensitive recurrent ovarian cancer; and the efficacy and safety of the addition of bevacizumab to platinum-based chemotherapy in first platinum-sensitive recurrent EOC patients who received prior bevacizumab. The evidence for these recommendations, according to each key question, was evaluated using a systematic review and meta-analysis. The committee of ovarian cancer of the KSGO developed updated guidelines for treatments of EOC.

Since the latest practice guidelines for ovarian cancer were developed by the Korean Society of Gynecologic Oncology (KSGO) in 2021, many studies have examined the efficacy and safety of various treatments for epithelial ovarian cancer (EOC). Therefore, the need to develop recommendations for EOC treatments has been raised. This study searched the literature using 4 key items and the Population, Intervention, Comparison, and Outcome: the efficacy and safety of poly-ADP ribose polymerase inhibitors in newly diagnosed advanced EOC; the efficacy and safety of intraperitoneal plus intravenous chemotherapy in optimally debulked advanced EOC; the efficacy and safety of secondary cytoreductive surgery in platinumsensitive recurrent ovarian cancer; and the efficacy and safety of the addition of bevacizumab to platinum-based chemotherapy in first platinum-sensitive recurrent EOC patients who received prior bevacizumab. The evidence for these recommendations, according to each key question, was evaluated using a systematic review and meta-analysis. The committee of ovarian cancer of the KSGO developed updated guidelines for treatments of EOC.

Since the latest practice guidelines for ovarian cancer were developed by the Korean Society of Gynecologic Oncology (KSGO) in 2021, many studies have examined the efficacy and safety of various treatments for epithelial ovarian cancer (EOC). Therefore, the need to develop recommendations for EOC treatments has been raised. This study searched the literature using 4 key items and the Population, Intervention, Comparison, and Outcome: the efficacy and safety of poly-ADP ribose polymerase inhibitors in newly diagnosed advanced EOC; the efficacy and safety of intraperitoneal plus intravenous chemotherapy in optimally debulked advanced EOC; the efficacy and safety of secondary cytoreductive surgery in platinumsensitive recurrent ovarian cancer; and the efficacy and safety of the addition of bevacizumab to platinum-based chemotherapy in first platinum-sensitive recurrent EOC patients who received prior bevacizumab. The evidence for these recommendations, according to each key question, was evaluated using a systematic review and meta-analysis. The committee of ovarian cancer of the KSGO developed updated guidelines for treatments of EOC.

Background: and Purpose The accurate prediction of functional outcomes in patients with acute ischemic stroke (AIS) is crucial for informed clinical decision-making and optimal resource utilization. As such, this study aimed to construct an ensemble deep learning model that integrates multimodal imaging and clinical data to predict the 90-day functional outcomes after AIS. Methods: We used data from the Korean Stroke Neuroimaging Initiative database, a prospective multicenter stroke registry to construct an ensemble model integrated individual 3D convolutional neural networks for diffusion-weighted imaging and fluid-attenuated inversion recovery (FLAIR), along with a deep neural network for clinical data, to predict 90-day functional independence after AIS using a modified Rankin Scale (mRS) of 3–6. To evaluate the performance of the ensemble model, we compared the area under the curve (AUC) of the proposed method with that of individual models trained on each modality to identify patients with AIS with an mRS score of 3–6. Results: Of the 2,606 patients with AIS, 993 (38.1%) achieved an mRS score of 3–6 at 90 days post-stroke. Our model achieved AUC values of 0.830 (standard cross-validation [CV]) and 0.779 (time-based CV), which significantly outperformed the other models relying on single modalities: b-value of 1,000 s/mm2 (P<0.001), apparent diffusion coefficient map (P<0.001), FLAIR (P<0.001), and clinical data (P=0.004). Conclusion The integration of multimodal imaging and clinical data resulted in superior prediction of the 90-day functional outcomes in AIS patients compared to the use of a single data modality.