1.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
2.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
3.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
4.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
5.Literature review of non-pharmacological treatment for patients with axial spondyloarthritis
Jina YEO ; Mi Ryoung SEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Han Joo BAEK
The Korean Journal of Internal Medicine 2025;40(1):40-48
Axial spondyloarthritis (axSpA) is a chronic inflammatory disorder affecting the sacroiliac joints and axial spine. Along with pharmacotherapy, non-pharmacological interventions for axSpA are crucial and constitute the cornerstone of treatment. Here, we review the evidence for non-pharmacological treatment of axSpA as a basis for the 2023 Korean treatment recommendations for patients with axSpA. The effectiveness of the core non-pharmacological approaches, such as education, smoking cessation, and exercise, has been reaffirmed. High-quality research on surgical treatment is limited. However, total hip replacement is advised in patients with ongoing pain or disability and visible structural damage to the hip on imaging. Urgent spinal intervention should be considered in cases of acute spinal pain with neurological deficiency or concurrent unstable fractures. Evidence for complementary therapies, including spas and acupuncture, remains insufficient.
6.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.
7.Trends in Research on Patients With COVID-19 in Korean Medical Journals
Heejeong CHOI ; Seunggwan SONG ; Heesang AHN ; Hyobean YANG ; Hyeonseong LIM ; Yohan PARK ; Juhyun KIM ; Hongju YONG ; Minseok YOON ; Mi Ah HAN
Journal of Preventive Medicine and Public Health 2024;57(1):47-54
Objectives:
This study was conducted to systematically summarize trends in research concerning patients with coronavirus disease 2019 (COVID-19) as reported in Korean medical journals.
Methods:
We performed a literature search of KoreaMed from January 2020 to September 2022. We included only primary studies of patients with COVID-19. Two reviewers screened titles and abstracts, then performed full-text screening, both independently and in duplicate. We first identified the 5 journals with the greatest numbers of eligible publications, then extracted data pertaining to the general characteristics, study population attributes, and research features of papers published in these journals.
Results:
Our analysis encompassed 142 primary studies. Of these, approximately 41.0% reported a funding source, while 3.5% disclosed a conflict of interest. In 2020, 42.9% of studies included fewer than 10 participants; however, by 2022, the proportion of studies with over 200 participants had increased to 40.6%. The most common design was the cohort study (48.6%), followed by case reports/series (35.2%). Only 3 randomized controlled trials were identified. Studies most frequently focused on prognosis (58.5%), followed by therapy/intervention (20.4%). Regarding the type of intervention/exposure, therapeutic clinical interventions comprised 26.1%, while studies of morbidity accounted for 13.4%. As for the outcomes measured, 50.7% of studies assessed symptoms/clinical status/improvement, and 14.1% evaluated mortality.
Conclusions
Employing a systematic approach, we examined the characteristics of research involving patients with COVID-19 that was published in Korean medical journals from 2020 onward. Subsequent research should assess not only publication trends over a longer timeframe but also the quality of evidence provided.
8.Corrigendum: Korean treatment recommendations for patients with axial spondyloarthritis
Mi Ryoung SEO ; Jina YEO ; Jun Won PARK ; Yeon-Ah LEE ; Ju Ho LEE ; Eun Ha KANG ; Seon Mi JI ; Seong-Ryul KWON ; Seong-Kyu KIM ; Tae-Jong KIM ; Tae-Hwan KIM ; Hye Won KIM ; Min-Chan PARK ; Kichul SHIN ; Sang-Hoon LEE ; Eun Young LEE ; Hoon Suk CHA ; Seung Cheol SHIM ; Youngim YOON ; Seung Ho LEE ; Jun Hong LIM ; Han Joo BAEK ;
Journal of Rheumatic Diseases 2024;31(1):62-63
9.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.
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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