Sueun Chae
Sungkyunkwan University · Biochemistry, Genetics and Molecular Biology
About the Lab
Professor Sueun Chae's research lab specializes in translational oncology, focusing on identifying predictive and prognostic biomarkers in prostate and breast cancer. The lab integrates artificial intelligence in digital pathology with liquid biopsy technologies, such as circulating tumor DNA (ctDNA), to improve the accuracy and objectivity of cancer prognosis and treatment response prediction. Key research directions include AI-based quantification of tumor-infiltrating lymphocytes (TILs) and the development of non-invasive monitoring strategies for intermittent androgen deprivation therapy in prostate cancer.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
10Purpose: The purpose of this study was to define the predictive factors for the early progression of androgen independent prostate cancer in patients receiving intermittent androgen deprivation(IAD) therapy. Materials and Methods: A total of 101 patients(stages A to C in 29 and stage D in 72), who had completed at least 1 cycle of IAD, were included. A variety of possible prognostic factors, such as age, initial prostate-specific antigen(PSA) and testosterone, Gleason score, lymph node or bone m
Abstract Background Tumor-infiltrating lymphocytes (TILs) have been recognized as prognostic and predictive biomarkers in breast cancer. However, challenges such as interobserver variability and lack of standardized cut-off values have limited their clinical implementation. Recent advancements in artificial intelligence (AI)-based pathology have shown potential to enhance reproducibility and objectivity in TIL quantification. Concurrently, circulating tumor DNA (ctDNA) has emerged as a minimally
Research Areas
Dive deeper into Sueun Chae's research on Nubint
Open this lab's papers in the app to read with AI, summarize, and cite in your writing.