1.Transcatheter Arterial Embolization for the Control of Neoplastic Hemorrhage in Locally Advanced Breast Cancer: A Case Report
Ji Hwan KANG ; Myung Sub KIM ; Hyun Pyo HONG ; Do Yeon AHN
Journal of the Korean Society of Radiology 2025;86(1):180-184
Intractable bleeding from locally advanced breast carcinoma is a rare but challenging clinical problem. Given the patients’ poor overall condition and palliative care status, management options are often limited. Transcatheter arterial embolization (TAE) emerges as a potential alternative to traditional surgical or radiation-based approaches for hemorrhage control. This case report presents a successful application of TAE in managing spontaneous bleeding from a locally advanced breast cancer.
2.Clinicopathological Correlations of Neurodegenerative Diseases in the National Brain Biobank of Korea
Young Hee JUNG ; Jun Pyo KIM ; Hee Jin KIM ; Hyemin JANG ; Hyun Jeong HAN ; Young Ho KOH ; Duk L. NA ; Yeon-Lim SUH ; Gi Yeong HUH ; Jae-Kyung WON ; Seong-Ik KIM ; Ji-Young CHOI ; Sang Won SEO ; Sung-Hye PARK ; Eun-Joo KIM
Journal of Clinical Neurology 2025;21(3):190-200
Background:
and Purpose The National Brain Biobank of Korea (NBBK) is a brain bank consortium supported by the Korea Disease Control and Prevention Agency and the Korea National Institute of Health, and was launched in 2015 to support research into neurodegenerative disease dementia (NDD). This study aimed to introduce the NBBK and describes clinicopathological correlations based on analyses of data collected from the NBBK.
Methods:
Four hospital-based brain banks have been established in South Korea: Samsung Medical Center Brain Bank (SMCBB), Seoul National University Hospital Brain Bank (SNUHBB), Pusan National University Hospital Brain Bank (PNUHBB), and Myongji Hospital Brain Bank (MJHBB). Clinical and pathological data were collected from these brain banks using standardized protocols. The prevalence rates of clinical and pathological diagnoses were analyzed in order to characterize the clinicopathological correlations.
Results:
Between August 2016 and December 2023, 185 brain specimens were collected and pathologically evaluated (SNUHBB: 117; PNUHBB: 27; SMCBB: 34; MJHBB: 7). The age at consent was 70.8±12.6 years, and the age at autopsy was 71.7±12.4 years. The four-most-common clinical diagnoses were Alzheimer’s disease (AD) dementia (20.0%), idiopathic Parkinson’s disease (15.1%), unspecified dementia (11.9%), and cognitively unimpaired (CU) (11.4%).Most cases of unspecified dementia had a pathological diagnosis of central nervous system (CNS) vasculopathy (31.8%) or AD (31.8%). Remarkably, only 14.2% of CU cases had normal pathological findings. The three-most-common pathological diagnoses were AD (26.5%), CNS vasculopathy (14.1%), and Lewy body disease (13.5%).
Conclusions
These clinical and neuropathological findings provide a deeper understanding of the mechanisms underlying NDD in South Korea.
3.Clinicopathological Correlations of Neurodegenerative Diseases in the National Brain Biobank of Korea
Young Hee JUNG ; Jun Pyo KIM ; Hee Jin KIM ; Hyemin JANG ; Hyun Jeong HAN ; Young Ho KOH ; Duk L. NA ; Yeon-Lim SUH ; Gi Yeong HUH ; Jae-Kyung WON ; Seong-Ik KIM ; Ji-Young CHOI ; Sang Won SEO ; Sung-Hye PARK ; Eun-Joo KIM
Journal of Clinical Neurology 2025;21(3):190-200
Background:
and Purpose The National Brain Biobank of Korea (NBBK) is a brain bank consortium supported by the Korea Disease Control and Prevention Agency and the Korea National Institute of Health, and was launched in 2015 to support research into neurodegenerative disease dementia (NDD). This study aimed to introduce the NBBK and describes clinicopathological correlations based on analyses of data collected from the NBBK.
Methods:
Four hospital-based brain banks have been established in South Korea: Samsung Medical Center Brain Bank (SMCBB), Seoul National University Hospital Brain Bank (SNUHBB), Pusan National University Hospital Brain Bank (PNUHBB), and Myongji Hospital Brain Bank (MJHBB). Clinical and pathological data were collected from these brain banks using standardized protocols. The prevalence rates of clinical and pathological diagnoses were analyzed in order to characterize the clinicopathological correlations.
Results:
Between August 2016 and December 2023, 185 brain specimens were collected and pathologically evaluated (SNUHBB: 117; PNUHBB: 27; SMCBB: 34; MJHBB: 7). The age at consent was 70.8±12.6 years, and the age at autopsy was 71.7±12.4 years. The four-most-common clinical diagnoses were Alzheimer’s disease (AD) dementia (20.0%), idiopathic Parkinson’s disease (15.1%), unspecified dementia (11.9%), and cognitively unimpaired (CU) (11.4%).Most cases of unspecified dementia had a pathological diagnosis of central nervous system (CNS) vasculopathy (31.8%) or AD (31.8%). Remarkably, only 14.2% of CU cases had normal pathological findings. The three-most-common pathological diagnoses were AD (26.5%), CNS vasculopathy (14.1%), and Lewy body disease (13.5%).
Conclusions
These clinical and neuropathological findings provide a deeper understanding of the mechanisms underlying NDD in South Korea.
4.Transcatheter Arterial Embolization for the Control of Neoplastic Hemorrhage in Locally Advanced Breast Cancer: A Case Report
Ji Hwan KANG ; Myung Sub KIM ; Hyun Pyo HONG ; Do Yeon AHN
Journal of the Korean Society of Radiology 2025;86(1):180-184
Intractable bleeding from locally advanced breast carcinoma is a rare but challenging clinical problem. Given the patients’ poor overall condition and palliative care status, management options are often limited. Transcatheter arterial embolization (TAE) emerges as a potential alternative to traditional surgical or radiation-based approaches for hemorrhage control. This case report presents a successful application of TAE in managing spontaneous bleeding from a locally advanced breast cancer.
5.Clinicopathological Correlations of Neurodegenerative Diseases in the National Brain Biobank of Korea
Young Hee JUNG ; Jun Pyo KIM ; Hee Jin KIM ; Hyemin JANG ; Hyun Jeong HAN ; Young Ho KOH ; Duk L. NA ; Yeon-Lim SUH ; Gi Yeong HUH ; Jae-Kyung WON ; Seong-Ik KIM ; Ji-Young CHOI ; Sang Won SEO ; Sung-Hye PARK ; Eun-Joo KIM
Journal of Clinical Neurology 2025;21(3):190-200
Background:
and Purpose The National Brain Biobank of Korea (NBBK) is a brain bank consortium supported by the Korea Disease Control and Prevention Agency and the Korea National Institute of Health, and was launched in 2015 to support research into neurodegenerative disease dementia (NDD). This study aimed to introduce the NBBK and describes clinicopathological correlations based on analyses of data collected from the NBBK.
Methods:
Four hospital-based brain banks have been established in South Korea: Samsung Medical Center Brain Bank (SMCBB), Seoul National University Hospital Brain Bank (SNUHBB), Pusan National University Hospital Brain Bank (PNUHBB), and Myongji Hospital Brain Bank (MJHBB). Clinical and pathological data were collected from these brain banks using standardized protocols. The prevalence rates of clinical and pathological diagnoses were analyzed in order to characterize the clinicopathological correlations.
Results:
Between August 2016 and December 2023, 185 brain specimens were collected and pathologically evaluated (SNUHBB: 117; PNUHBB: 27; SMCBB: 34; MJHBB: 7). The age at consent was 70.8±12.6 years, and the age at autopsy was 71.7±12.4 years. The four-most-common clinical diagnoses were Alzheimer’s disease (AD) dementia (20.0%), idiopathic Parkinson’s disease (15.1%), unspecified dementia (11.9%), and cognitively unimpaired (CU) (11.4%).Most cases of unspecified dementia had a pathological diagnosis of central nervous system (CNS) vasculopathy (31.8%) or AD (31.8%). Remarkably, only 14.2% of CU cases had normal pathological findings. The three-most-common pathological diagnoses were AD (26.5%), CNS vasculopathy (14.1%), and Lewy body disease (13.5%).
Conclusions
These clinical and neuropathological findings provide a deeper understanding of the mechanisms underlying NDD in South Korea.
6.Transcatheter Arterial Embolization for the Control of Neoplastic Hemorrhage in Locally Advanced Breast Cancer: A Case Report
Ji Hwan KANG ; Myung Sub KIM ; Hyun Pyo HONG ; Do Yeon AHN
Journal of the Korean Society of Radiology 2025;86(1):180-184
Intractable bleeding from locally advanced breast carcinoma is a rare but challenging clinical problem. Given the patients’ poor overall condition and palliative care status, management options are often limited. Transcatheter arterial embolization (TAE) emerges as a potential alternative to traditional surgical or radiation-based approaches for hemorrhage control. This case report presents a successful application of TAE in managing spontaneous bleeding from a locally advanced breast cancer.
7.Mutation-Driven Immune Microenvironments in Non-Small Cell Lung Cancer: Unrevealing Patterns through Cluster Analysis
Youngtaek KIM ; Joon Yeon HWANG ; Kwangmin NA ; Dong Kwon KIM ; Seul LEE ; Seong-san KANG ; Sujeong BAEK ; Seung Min YANG ; Mi Hyun KIM ; Heekyung HAN ; Seong Su JEONG ; Chai Young LEE ; Yu Jin HAN ; Jie-Ohn SOHN ; Sang-Kyu YE ; Kyoung-Ho PYO
Yonsei Medical Journal 2024;65(12):683-694
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.
8.Mutation-Driven Immune Microenvironments in Non-Small Cell Lung Cancer: Unrevealing Patterns through Cluster Analysis
Youngtaek KIM ; Joon Yeon HWANG ; Kwangmin NA ; Dong Kwon KIM ; Seul LEE ; Seong-san KANG ; Sujeong BAEK ; Seung Min YANG ; Mi Hyun KIM ; Heekyung HAN ; Seong Su JEONG ; Chai Young LEE ; Yu Jin HAN ; Jie-Ohn SOHN ; Sang-Kyu YE ; Kyoung-Ho PYO
Yonsei Medical Journal 2024;65(12):683-694
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.
9.Mutation-Driven Immune Microenvironments in Non-Small Cell Lung Cancer: Unrevealing Patterns through Cluster Analysis
Youngtaek KIM ; Joon Yeon HWANG ; Kwangmin NA ; Dong Kwon KIM ; Seul LEE ; Seong-san KANG ; Sujeong BAEK ; Seung Min YANG ; Mi Hyun KIM ; Heekyung HAN ; Seong Su JEONG ; Chai Young LEE ; Yu Jin HAN ; Jie-Ohn SOHN ; Sang-Kyu YE ; Kyoung-Ho PYO
Yonsei Medical Journal 2024;65(12):683-694
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.
10.p27 Cell Cycle Inhibitor and Survival in Luminal-Type Breast Cancer:Gene Ontology, Machine Learning, and Drug Screening Analysis
In Ah PARK ; Yung-Kyun NOH ; Kyueng-Whan MIN ; Dong-Hoon KIM ; Jeong-Yeon LEE ; Byoung Kwan SON ; Mi Jung KWON ; Myung-Hoon HAN ; Joon Young HUR ; Jung Soo PYO
Journal of Breast Cancer 2024;27(5):305-322
Purpose:
A widely distributed cell cycle inhibitor, p27, regulates cyclin-dependent kinase-cyclin complexes. Although the prognostic value of p27 has been established for various types of carcinomas, its role in luminal breast cancer remains poorly understood. This study aimed to explore the functional enrichment of p27 and identify potential drug targets in patients with luminal-type breast cancer.
Methods:
Clinicopathological data were collected from 868 patients with luminal-type breast cancer. Additionally, publicly available data from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset (1,500 patients) and the Gene Expression Omnibus database (855 patients) were included in the analysis. Immunohistochemical staining for p27, differential gene expression analysis, disease ontology analysis, survival prediction modeling using machine learning (ML), and in vitro drug screening were also performed.
Results:
Low p27 expression correlated with younger age, advanced tumor stage, estrogen receptor/progesterone receptor negativity, decreased cluster of differentiation 8+ T cell count, and poorer survival outcomes in luminal-type breast cancer. The METABRIC data revealed that reduced cyclin-dependent kinase inhibitor 1B (CDKN1B) expression (encoding p27) was associated with cell proliferation-related pathways and epigenetic polycomb repressive complex 2. Using ML, p27 emerged as the second most significant survival factor after N stage, thereby enhancing survival model performance. Additionally, luminal-type breast cancer cell lines with low CDKN1B expression demonstrated increased sensitivity to specific anticancer drugs such as voxtalisib and serdemetan, implying a potential therapeutic synergy between CDKN1B-targeted approaches and these drugs.
Conclusion
The integration of ML and bioinformatic analyses of p27 has the potential to enhance risk stratification and facilitate personalized treatment strategies for patients with breast cancer.

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