Hwang, Ki-Tae
Seoul National University · Biochemistry, Genetics and Molecular Biology
About the Lab
Professor Hwang Ki-Tae's research lab specializes in translational breast cancer research, focusing on identifying and validating molecular biomarkers for prognosis and treatment prediction. The lab investigates genetic, epigenetic, and protein expression markers—such as BCL2, KRAS, RUNX3, and preoperative fractional area of tumor regression (FAR)—to improve risk stratification in breast cancer patients. Their work integrates clinical data with molecular profiling techniques, including array comparative genomic hybridization (aCGH) and methylation-specific PCR, to uncover biological mechanisms underlying disease progression and recurrence.
Research Overview
Research Output Trend
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Selected Papers
15Abstract Purpose: To determine the prognostic roles of breast cancer subtypes in females with operable invasive breast cancer. Experimental Design: Data of 321,958 patients from Surveillance, Epidemiology, and End Results (SEER) database were analyzed. Breast cancer subtypes were classified into four categories according to the status of hormone receptor (HRc) and HER2: HRc(+)/HER2(−), HRc(+)/HER2(+), HRc(−)/HER2(+), and HRc(−)/HER2(−). Results: Proportions of HRc(+)/HER2(−), HRc(+)/HER2(+), HRc
Preoperative FAR was a strong independent prognostic factor in breast cancer. Its prognostic effect was more prominent in the stage II/III subgroup and in the luminal A-like subtype. Therefore, preoperative FAR can be utilized as a useful prognosticator for breast cancer patients. Further studies are needed to validate its applications in clinical settings.
Although BCL2 has occasionally been suggested as a candidate prognostic factor for breast cancer, it is still not accepted as a prognostic factor. We attempted to validate the role of BCL2 as a prognostic factor of breast cancer. Data on 7,230 primary breast cancer patients from the Seoul National University Hospital Breast Care Center were analyzed. Three current prognostic models, including the St. Gallen model, the Nottingham prognostic index (NPI) model and the TNM model, were used for analy
We tried to establish models that predict systemic recurrence in breast cancer by selecting marker clones with DNA copy number alterations (CNAs) using an array comparative genomic hybridization (CGH). Array CGH containing 4,044 human bacterial artificial chromosome clones was used to assess CNAs in 62 primary breast cancer tissues from 31 patients with systemic recurrence within 5 years after surgery and clinicopathologically well matched 31 patients who had no evidence of disease for at least
<i>KRAS</i> mRNA expression was significantly associated with breast cancer prognosis. It was found to be an independent prognostic factor for breast cancer. Prognostic role of <i>KRAS</i> mRNA expression was effective only in luminal A subtype. Further studies are needed to validate the prognostic role of <i>KRAS</i> mRNA expression in breast cancer, thus paving a way for clinical application of <i>KRAS</i> in practice.
The RUNX3 gene is regarded as a tumor suppressor gene in many human solid tumors, and its inactivation is believed to be related with solid tumor carcinogenesis. As little information is available about the role of the RUNX3 gene in breast cancer, we investigated the relationship between the RUNX3 gene and breast cancer. We performed reverse transcriptase-polymerases chain reaction (RT-PCR), methylation specific PCR, and bicolor fluorescent in situ hybridization analysis in an effort to reveal r
The prognostic influence of BCL2 was different across molecular subtypes of breast cancer, and it was largely dependent on HR, HER2, Ki-67, and the stage of cancer. BCL2 had a strong favorable prognostic impact only in HR(+)/HER2(-) or luminal A and luminal B/HER2(-) subtypes, particularly in advanced stages. Further investigations are needed to verify the prognostic influence of BCL2 on molecular subtypes of breast cancer and to develop clinical applications for prognostication using BCL2.
We investigated the prognostic influence of androgen receptor (AR) on breast cancer. AR status was assessed using immunohistochemistry with tissue microarrays from 395 operable primary breast cancer patients who received curative surgery. The Kaplan–Meier estimator was used to analyze the survival rates and a log-rank test was used to determine the significance of the differences in survival. The Cox proportional hazards model was used to calculate the hazard ratio (HR) and the 95% confidence in
BACKGROUND: The present study assessed the impact of different types of breast surgery on rates of psychological disorders in breast cancer patients. METHODS: This nationwide cohort study, based on Korean Health Insurance Review and Assessment Service claims data, included 26,259 breast patients who underwent surgery from June 1, 2017, to December 31, 2018. Associations between the incidence of psychological disorders and variables were evaluated by time dependent Cox regression analyses. RESULT
The Z0011 trial demonstrated that axillary lymph node dissection (ALND) could be omitted in spite of 1-2 metastatic sentinel lymph nodes. This study aimed to validate the results on a population-based database. The Surveillance, Epidemiology, and End Results (SEER) database was searched for patients comparable to the Z0011 participants. The type of axillary surgery was estimated using the total number of examined axillary lymph nodes (ALNs). Breast cancer-specific mortality (BCSM) was compared b
The regulation of BCL2 was mainly associated with methylation across the molecular subtypes of breast cancer, and luminal A and luminal B subtypes showed upregulated expression of BCL2 protein, mRNA, and hypomethylation. Although copy number alteration may have played a minor role, mutation status was not related to BCL2 regulation. Upregulation of BCL2 was associated with superior prognosis than downregulation of BCL2.
We investigated the prognostic influences of BCL1 and BCL2 expression on disease-free survival in breast cancer patients. BCL1 and BCL2 expression statuses were assessed by immunohistochemistry using tissue microarrays from 393 breast cancer patients. The Kaplan-Meier estimator and log-rank test were used for survival analyses. The Cox proportional hazards model was used to calculate hazard ratio (HR) and the 95% confidence interval (CI) of survival analyses. BCL1 expression revealed no impact o
Research Areas
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