1.Erratum to "Investigating the Immune-Stimulating Potential of β-Glucan from Aureobasidium pullulans in Cancer Immunotherapy" Biomol Ther 32(5), 556-567 (2024)
Jae-Hyeon JEONG ; Dae-Joon KIM ; Seong-Jin HONG ; Jae-Hee AHN ; Dong-Ju LEE ; Ah-Ra JANG ; Sungyun KIM ; Hyun-Jong CHO ; Jae-Young LEE ; Jong-Hwan PARK ; Young-Min KIM ; Hyun-Jeong KO
Biomolecules & Therapeutics 2025;33(1):233-233
2.Application of Machine Learning Algorithms for Risk Stratification and Efficacy Evaluation in Cervical Cancer Screening among the ASCUS/LSIL Population: Evidence from the Korean HPV Cohort Study
Heekyoung SONG ; Hong Yeon LEE ; Shin Ah OH ; Jaehyun SEONG ; Soo Young HUR ; Youn Jin CHOI
Cancer Research and Treatment 2025;57(2):547-557
Purpose:
We assessed human papillomavirus (HPV) genotype-based risk stratification and the efficacy of cytology testing for cervical cancer screening in patients with atypical squamous cells of undetermined significance (ASCUS)/low-grade squamous intraepithelial lesion (LSIL).
Materials and Methods:
Between 2010 and 2021, we monitored 1,273 HPV-positive women with ASCUS/LSIL every 6 months for up to 60 months. HPV infections were categorized as persistent (HPV positivity consistently observed post-enrollment), negative (HPV negativity consistently observed post-enrollment), or non-persistent (neither consistently positive nor negative). HPV genotypes were grouped into high-risk (Hr) groups 1 (types 16, 18, 31, 33, 45, 52, and 58) and 2 (types 35, 39, 51, 56, 59, 66, and 68) and a low-risk group. Hr1 was subdivided into types (a) 16 and 18; (b) 31, 33, and 45; and (c) 52 and 58. Cox regression and machine learning (ML) algorithms were used to analyze progression rates.
Results:
Among 1,273 participants, 17.6% with persistent HPV infections experienced disease progression versus no progression in the HPV-negative group (p < 0.001). Cox analysis revealed the highest hazard ratios (HRs) for Hr1-a (11.6, p < 0.001), followed by Hr1-b (9.26, p < 0.001) and Hr1-c (7.21, p < 0.001). HRs peaked at 12-24 months, with Hr1-a maintaining significance at 24-36 months (10.7, p=0.034). ML analysis identified the final cytology change pattern as the most significant factor, with 14-15 months the optimal time for detecting progression from the first examination.
Conclusion
In ASCUS/LSIL cases, follow-up strategies should be based on HPV risk types. Annual follow-up was the most effective monitoring for detecting progression/regression.
3.Erratum to "Investigating the Immune-Stimulating Potential of β-Glucan from Aureobasidium pullulans in Cancer Immunotherapy" Biomol Ther 32(5), 556-567 (2024)
Jae-Hyeon JEONG ; Dae-Joon KIM ; Seong-Jin HONG ; Jae-Hee AHN ; Dong-Ju LEE ; Ah-Ra JANG ; Sungyun KIM ; Hyun-Jong CHO ; Jae-Young LEE ; Jong-Hwan PARK ; Young-Min KIM ; Hyun-Jeong KO
Biomolecules & Therapeutics 2025;33(1):233-233
4.Application of Machine Learning Algorithms for Risk Stratification and Efficacy Evaluation in Cervical Cancer Screening among the ASCUS/LSIL Population: Evidence from the Korean HPV Cohort Study
Heekyoung SONG ; Hong Yeon LEE ; Shin Ah OH ; Jaehyun SEONG ; Soo Young HUR ; Youn Jin CHOI
Cancer Research and Treatment 2025;57(2):547-557
Purpose:
We assessed human papillomavirus (HPV) genotype-based risk stratification and the efficacy of cytology testing for cervical cancer screening in patients with atypical squamous cells of undetermined significance (ASCUS)/low-grade squamous intraepithelial lesion (LSIL).
Materials and Methods:
Between 2010 and 2021, we monitored 1,273 HPV-positive women with ASCUS/LSIL every 6 months for up to 60 months. HPV infections were categorized as persistent (HPV positivity consistently observed post-enrollment), negative (HPV negativity consistently observed post-enrollment), or non-persistent (neither consistently positive nor negative). HPV genotypes were grouped into high-risk (Hr) groups 1 (types 16, 18, 31, 33, 45, 52, and 58) and 2 (types 35, 39, 51, 56, 59, 66, and 68) and a low-risk group. Hr1 was subdivided into types (a) 16 and 18; (b) 31, 33, and 45; and (c) 52 and 58. Cox regression and machine learning (ML) algorithms were used to analyze progression rates.
Results:
Among 1,273 participants, 17.6% with persistent HPV infections experienced disease progression versus no progression in the HPV-negative group (p < 0.001). Cox analysis revealed the highest hazard ratios (HRs) for Hr1-a (11.6, p < 0.001), followed by Hr1-b (9.26, p < 0.001) and Hr1-c (7.21, p < 0.001). HRs peaked at 12-24 months, with Hr1-a maintaining significance at 24-36 months (10.7, p=0.034). ML analysis identified the final cytology change pattern as the most significant factor, with 14-15 months the optimal time for detecting progression from the first examination.
Conclusion
In ASCUS/LSIL cases, follow-up strategies should be based on HPV risk types. Annual follow-up was the most effective monitoring for detecting progression/regression.
5.Erratum to "Investigating the Immune-Stimulating Potential of β-Glucan from Aureobasidium pullulans in Cancer Immunotherapy" Biomol Ther 32(5), 556-567 (2024)
Jae-Hyeon JEONG ; Dae-Joon KIM ; Seong-Jin HONG ; Jae-Hee AHN ; Dong-Ju LEE ; Ah-Ra JANG ; Sungyun KIM ; Hyun-Jong CHO ; Jae-Young LEE ; Jong-Hwan PARK ; Young-Min KIM ; Hyun-Jeong KO
Biomolecules & Therapeutics 2025;33(1):233-233
6.Application of Machine Learning Algorithms for Risk Stratification and Efficacy Evaluation in Cervical Cancer Screening among the ASCUS/LSIL Population: Evidence from the Korean HPV Cohort Study
Heekyoung SONG ; Hong Yeon LEE ; Shin Ah OH ; Jaehyun SEONG ; Soo Young HUR ; Youn Jin CHOI
Cancer Research and Treatment 2025;57(2):547-557
Purpose:
We assessed human papillomavirus (HPV) genotype-based risk stratification and the efficacy of cytology testing for cervical cancer screening in patients with atypical squamous cells of undetermined significance (ASCUS)/low-grade squamous intraepithelial lesion (LSIL).
Materials and Methods:
Between 2010 and 2021, we monitored 1,273 HPV-positive women with ASCUS/LSIL every 6 months for up to 60 months. HPV infections were categorized as persistent (HPV positivity consistently observed post-enrollment), negative (HPV negativity consistently observed post-enrollment), or non-persistent (neither consistently positive nor negative). HPV genotypes were grouped into high-risk (Hr) groups 1 (types 16, 18, 31, 33, 45, 52, and 58) and 2 (types 35, 39, 51, 56, 59, 66, and 68) and a low-risk group. Hr1 was subdivided into types (a) 16 and 18; (b) 31, 33, and 45; and (c) 52 and 58. Cox regression and machine learning (ML) algorithms were used to analyze progression rates.
Results:
Among 1,273 participants, 17.6% with persistent HPV infections experienced disease progression versus no progression in the HPV-negative group (p < 0.001). Cox analysis revealed the highest hazard ratios (HRs) for Hr1-a (11.6, p < 0.001), followed by Hr1-b (9.26, p < 0.001) and Hr1-c (7.21, p < 0.001). HRs peaked at 12-24 months, with Hr1-a maintaining significance at 24-36 months (10.7, p=0.034). ML analysis identified the final cytology change pattern as the most significant factor, with 14-15 months the optimal time for detecting progression from the first examination.
Conclusion
In ASCUS/LSIL cases, follow-up strategies should be based on HPV risk types. Annual follow-up was the most effective monitoring for detecting progression/regression.
7.Cohort profile: Multicenter Networks for Ideal Outcomes of Rare Pediatric Endocrine and Metabolic Diseases in Korea (OUTSPREAD study)
Yun Jeong LEE ; Chong Kun CHEON ; Junghwan SUH ; Jung-Eun MOON ; Moon Bae AHN ; Seong Hwan CHANG ; Jieun LEE ; Jin Ho CHOI ; Minsun KIM ; Han Hyuk LIM ; Jaehyun KIM ; Shin-Hye KIM ; Hae Sang LEE ; Yena LEE ; Eungu KANG ; Se Young KIM ; Yong Hee HONG ; Seung YANG ; Heon-Seok HAN ; Sochung CHUNG ; Won Kyoung CHO ; Eun Young KIM ; Jin Kyung KIM ; Kye Shik SHIM ; Eun-Gyong YOO ; Hae Soon KIM ; Aram YANG ; Sejin KIM ; Hyo-Kyoung NAM ; Sung Yoon CHO ; Young Ah LEE
Annals of Pediatric Endocrinology & Metabolism 2024;29(6):349-355
Rare endocrine diseases are complex conditions that require lifelong specialized care due to their chronic nature and associated long-term complications. In Korea, a lack of nationwide data on clinical practice and outcomes has limited progress in patient care. Therefore, the Multicenter Networks for Ideal Outcomes of Pediatric Rare Endocrine and Metabolic Disease (OUTSPREAD) study was initiated. This study involves 30 centers across Korea. The study aims to improve the long-term prognosis of Korean patients with rare endocrine diseases by collecting comprehensive clinical data, biospecimens, and patient-reported outcomes to identify complications and unmet needs in patient care. Patients with childhood-onset pituitary, adrenal, or gonadal disorders, such as craniopharyngioma, congenital adrenal hyperplasia (CAH), and Turner syndrome were prioritized. The planned enrollment is 1,300 patients during the first study phase (2022–2024). Clinical, biochemical, and imaging data from diagnosis, treatment, and follow-up during 1980–2023 were retrospectively reviewed. For patients who agreed to participate in the prospective cohort, clinical data and biospecimens will be prospectively collected to discover ideal biomarkers that predict the effectiveness of disease control measures and prognosis. Patient-reported outcomes, including quality of life and depression scales, will be evaluated to assess psychosocial outcomes. Additionally, a substudy on CAH patients will develop a steroid hormone profiling method using liquid chromatography-tandem mass spectrometry to improve diagnosis and monitoring of treatment outcomes. This study will address unmet clinical needs by discovering ideal biomarkers, introducing evidence-based treatment guidelines, and ultimately improving long-term outcomes in the areas of rare endocrine and metabolic diseases.
8.Study Design and Protocol for a Randomized Controlled Trial to Assess Long-Term Efficacy and Safety of a Triple Combination of Ezetimibe, Fenofibrate, and Moderate-Intensity Statin in Patients with Type 2 Diabetes and Modifiable Cardiovascular Risk Factors (ENSEMBLE)
Nam Hoon KIM ; Juneyoung LEE ; Suk CHON ; Jae Myung YU ; In-Kyung JEONG ; Soo LIM ; Won Jun KIM ; Keeho SONG ; Ho Chan CHO ; Hea Min YU ; Kyoung-Ah KIM ; Sang Soo KIM ; Soon Hee LEE ; Chong Hwa KIM ; Soo Heon KWAK ; Yong‐ho LEE ; Choon Hee CHUNG ; Sihoon LEE ; Heung Yong JIN ; Jae Hyuk LEE ; Gwanpyo KOH ; Sang-Yong KIM ; Jaetaek KIM ; Ju Hee LEE ; Tae Nyun KIM ; Hyun Jeong JEON ; Ji Hyun LEE ; Jae-Han JEON ; Hye Jin YOO ; Hee Kyung KIM ; Hyeong-Kyu PARK ; Il Seong NAM-GOONG ; Seongbin HONG ; Chul Woo AHN ; Ji Hee YU ; Jong Heon PARK ; Keun-Gyu PARK ; Chan Ho PARK ; Kyong Hye JOUNG ; Ohk-Hyun RYU ; Keun Yong PARK ; Eun-Gyoung HONG ; Bong-Soo CHA ; Kyu Chang WON ; Yoon-Sok CHUNG ; Sin Gon KIM
Endocrinology and Metabolism 2024;39(5):722-731
Background:
Atherogenic dyslipidemia, which is frequently associated with type 2 diabetes (T2D) and insulin resistance, contributes to the development of vascular complications. Statin therapy is the primary approach to dyslipidemia management in T2D, however, the role of non-statin therapy remains unclear. Ezetimibe reduces cholesterol burden by inhibiting intestinal cholesterol absorption. Fibrates lower triglyceride levels and increase high-density lipoprotein cholesterol (HDL-C) levels via peroxisome proliferator- activated receptor alpha agonism. Therefore, when combined, these drugs effectively lower non-HDL-C levels. Despite this, few clinical trials have specifically targeted non-HDL-C, and the efficacy of triple combination therapies, including statins, ezetimibe, and fibrates, has yet to be determined.
Methods:
This is a multicenter, prospective, randomized, open-label, active-comparator controlled trial involving 3,958 eligible participants with T2D, cardiovascular risk factors, and elevated non-HDL-C (≥100 mg/dL). Participants, already on moderate-intensity statins, will be randomly assigned to either Ezefeno (ezetimibe/fenofibrate) addition or statin dose-escalation. The primary end point is the development of a composite of major adverse cardiovascular and diabetic microvascular events over 48 months.
Conclusion
This trial aims to assess whether combining statins, ezetimibe, and fenofibrate is as effective as, or possibly superior to, statin monotherapy intensification in lowering cardiovascular and microvascular disease risk for patients with T2D. This could propose a novel therapeutic approach for managing dyslipidemia in T2D.
9.Practice guidelines for managing extrahepatic biliary tract cancers
Hyung Sun KIM ; Mee Joo KANG ; Jingu KANG ; Kyubo KIM ; Bohyun KIM ; Seong-Hun KIM ; Soo Jin KIM ; Yong-Il KIM ; Joo Young KIM ; Jin Sil KIM ; Haeryoung KIM ; Hyo Jung KIM ; Ji Hae NAHM ; Won Suk PARK ; Eunkyu PARK ; Joo Kyung PARK ; Jin Myung PARK ; Byeong Jun SONG ; Yong Chan SHIN ; Keun Soo AHN ; Sang Myung WOO ; Jeong Il YU ; Changhoon YOO ; Kyoungbun LEE ; Dong Ho LEE ; Myung Ah LEE ; Seung Eun LEE ; Ik Jae LEE ; Huisong LEE ; Jung Ho IM ; Kee-Taek JANG ; Hye Young JANG ; Sun-Young JUN ; Hong Jae CHON ; Min Kyu JUNG ; Yong Eun CHUNG ; Jae Uk CHONG ; Eunae CHO ; Eui Kyu CHIE ; Sae Byeol CHOI ; Seo-Yeon CHOI ; Seong Ji CHOI ; Joon Young CHOI ; Hye-Jeong CHOI ; Seung-Mo HONG ; Ji Hyung HONG ; Tae Ho HONG ; Shin Hye HWANG ; In Gyu HWANG ; Joon Seong PARK
Annals of Hepato-Biliary-Pancreatic Surgery 2024;28(2):161-202
Background:
s/Aims: Reported incidence of extrahepatic bile duct cancer is higher in Asians than in Western populations. Korea, in particular, is one of the countries with the highest incidence rates of extrahepatic bile duct cancer in the world. Although research and innovative therapeutic modalities for extrahepatic bile duct cancer are emerging, clinical guidelines are currently unavailable in Korea. The Korean Society of Hepato-Biliary-Pancreatic Surgery in collaboration with related societies (Korean Pancreatic and Biliary Surgery Society, Korean Society of Abdominal Radiology, Korean Society of Medical Oncology, Korean Society of Radiation Oncology, Korean Society of Pathologists, and Korean Society of Nuclear Medicine) decided to establish clinical guideline for extrahepatic bile duct cancer in June 2021.
Methods:
Contents of the guidelines were developed through subgroup meetings for each key question and a preliminary draft was finalized through a Clinical Guidelines Committee workshop.
Results:
In November 2021, the finalized draft was presented for public scrutiny during a formal hearing.
Conclusions
The extrahepatic guideline committee believed that this guideline could be helpful in the treatment of patients.
10.Investigating the Immune-Stimulating Potential of β-Glucan from Aureobasidium pullulans in Cancer Immunotherapy
Jae-Hyeon JEONG ; Dae-Joon KIM ; Seong-Jin HONG ; Jae-Hee AHN ; Dong-Ju LEE ; Ah-Ra JANG ; Sungyun KIM ; Hyun-Jong CHO ; Jae-Young LEE ; Jong-Hwan PARK ; Young-Min KIM ; Hyun-Jeong KO
Biomolecules & Therapeutics 2024;32(5):556-567
β-glucan, a polysaccharide found in various sources, exhibits unique physicochemical properties, yet its high polymerization limits clinical applications because of its solubility. Addressing this limitation, we introduce PPTEE-glycan, a highly purified solubleβ-1,3/1,6-glucan derived from Aureobasidium pullulans. The refined PPTEE-glycan demonstrated robust immune stimulation in vitro, activated dendritic cells, and enhanced co-stimulatory markers, cytokines, and cross-presentation. Formulated as a PPTEE + microemulsion (ME), it elevated immune responses in vivo, promoting antigen-specific antibodies and CD8+ T cell proliferation.Intratumoral administration of PPTEE + ME in tumor-bearing mice induced notable tumor regression, which was linked to the activation of immunosuppressive cells. This study highlights the potential of high-purity Aureobasidium pullulans-derived β-glucan, particularly PPTEE, as promising immune adjuvants, offering novel avenues for advancing cancer immunotherapy.

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