SUK JUN Lee

Dr. SUK JUN Lee

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2023 in Korean Journal of Radiology
Verified
Journal Article
Open access
PDF file
JAJee Hyun Ahn
Jee Hyun Ahn
JGJieon Go
Jieon Go
SLSUK JUN Lee
SUK JUN Lee
JKJee Ye Kim
Jee Ye Kim
HPHyung Seok Park
Hyung Seok Park
SPSeho Park
Seho Park
Ahn JH, et al. Korean J Radiol. 2023 Apr;24:e31. https://doi.org/10.3348/kjr.2022.0629

30 November 2020 in Annals of Hepato-Biliary-Pancreatic Surgery
Verified
Journal Article
Open access
PDF file
MCMunseok Choi
Munseok Choi
SLSUK JUN Lee
SUK JUN Lee
DSDong-Min Shin
Dong-Min Shin
HHHo Kyoung Hwang
Ho Kyoung Hwang
WLWoo Jung Lee
Woo Jung Lee
CKChang Moo Kang
Chang Moo Kang
Typical treatment for recurrent pancreatic cancer is potent chemotherapy or chemoradiotherapy. However, recent clinical investigations suggest a potential therapeutic role of local resection in recurrent pancreatic cancer. Based on accumulating surgical experience of minimally invasive pancreatectomy, we report cases of two patients who underwent successful laparoscopic re-resection of isolated local recurrence following laparoscopic radical pancreatectomy for pancreatic cancer.

1 September 2021 in OncoTargets and Therapy
Verified
Journal Article
Open access
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TPThi Le Phan
Thi Le Phan
HKHyunjin Kim
Hyunjin Kim
SLSUK JUN Lee
SUK JUN Lee
MCMoon-Chang Choi
Moon-Chang Choi
SKSunghak Kim
Sunghak Kim
Background: Glioblastoma (GBM) is the most aggressive type of human brain tumor with a poor prognosis and a low survival rate. Secreted proteins from tumors are recently considered as important modulators to promote tumorigenesis by communicating with microenvironments. Repulsive guidance molecule A (RGMA) was initially characterized as an axon guidance molecule after secretion in the brain during embryogenesis but has not been studied in GBM. In this study, we investigated secreted gene expression patterns and the correlation between RGMA expression and prognosis in GBM using in silico analysis. Methods: RGMA mRNA levels in normal human astrocyte (NHA), human glioma cells, and GBM patient-derived glioma stem cells (GSCs) were assessed by qRT‐PCR. Patient survival analysis was performed with the Kaplan–Meier curve and univariate and multivariate analyses using publicly available datasets. The predictive roles of RGMA in progressive malignancy were evaluated using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA). Results: RGMA mRNA expression was elevated in glioma cells and GSCs compared with NHA and correlated with unfavorable prognosis in glioma patients. Thus, RGMA could serve as an independent predictive factor for GBM. Furthermore, the increased levels of RGMA expression and its putative receptor, neogenin (NEO1), were associated with poor patient survival rates in GBM. Conclusion: We identified RGMA as an independent prognostic biomarker for progressive malignancy in glioblastoma and address the possibilities to develop novel therapeutic strategies against glioblastoma.

1 January 2025 in Yonsei Medical Journal
Verified
Journal Article
Open access
SLSUK JUN Lee
SUK JUN Lee
JPJung Min Park
Jung Min Park
JAJee Hyun Ahn
Jee Hyun Ahn
CYChan Seok Yoon
Chan Seok Yoon
SPSeho Park
Seho Park
Lee SJ, et al. Yonsei Med J. 2025 Jun;66:e64. https://doi.org/10.3349/ymj.2024.0408

21 September 2025 in Cancers
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Journal Article
Open access
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SLSUK JUN Lee
SUK JUN Lee
JKJoo Heung Kim
Joo Heung Kim
JAJee Hyun Ahn
Jee Hyun Ahn
SGSo Hyeon Gwon
So Hyeon Gwon
ILIlkyun Lee
Ilkyun Lee
NSNak-Hoon Son
Nak-Hoon Son
Background: Oncotype DX (ODX) is widely used to estimate recurrence risk and guide adjuvant therapy in hormone receptor-positive (HR+), HER2-negative early-stage breast cancer. However, limited accessibility and high costs have prompted the use of alternative clinical models, such as the Tennessee nomogram. This study aimed to validate the predictive performance of the Tennessee nomogram in a Korean breast cancer cohort and identify factors contributing to discrepancies between nomogram predictions and ODX results. Methods: We retrospectively analyzed data on1298 patients with HR+/HER2−, node-negative invasive breast cancer who underwent ODX testing between May 2013 and August 2023. Predictive probabilities were calculated using the Tennessee nomogram and compared with actual ODX recurrence scores. Sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and area under the curve (AUC) were determined. Discordant cases were examined for clinicopathologic characteristics contributing to prediction errors. Results: The nomogram demonstrated an overall accuracy of 86.1% (sensitivity 0.130, specificity 0.989, AUC 0.776). Discordant results were observed in 13.9% of cases, primarily in patients with a high histologic grade, PR negativity, and elevated Ki-67 index. Most false negatives clustered within the ODX score range of 25–30, suggesting underestimation of risk in borderline-high cases. Conclusions: The Tennessee nomogram may be a useful surrogate when ODX testing is unavailable, but caution is warranted in patients with aggressive tumor biology. In such cases, ODX testing should be prioritized to guide adjuvant therapy decisions.

1 January 2025 in Annals of Surgical Treatment and Research
Verified
Journal Article
Open access
PDF file
JPJung Min Park
Jung Min Park
SLSUK JUN Lee
SUK JUN Lee
JAJee Hyun Ahn
Jee Hyun Ahn
CYChan Seok Yoon
Chan Seok Yoon
SPSeho Park
Seho Park
Park JM, et al. Ann Surg Treat Res. 2025 Apr;108(4):219-230. https://doi.org/10.4174/astr.2025.108.4.219