Kyung Hwan Kim

Dr. Kyung Hwan Kim

Pusan National University, Busan, Republic of Korea
orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

View All Publications
1 January 2023 in The World Journal of Men's Health
Verified
Journal Article
Open access
PDF file
KKKyung Hwan Kim
Kyung Hwan Kim
MPMin Jung Park
Min Jung Park
NPNam Cheol Park
Nam Cheol Park
HPHyun Jun Park
Hyun Jun Park
Kim KH, et al. World J Mens Health. 2023 Jan;41:e1. https://doi.org/10.5534/wjmh.220100

1 January 2023 in Investigative and Clinical Urology
Verified
Journal Article
Open access
PDF file
KKKyung Hwan Kim
Kyung Hwan Kim
HLHye Won Lee
Hye Won Lee
HHHong Koo Ha
Hong Koo Ha
HSHo Kyung Seo
Ho Kyung Seo
Kim KH, et al. Investig Clin Urol. 2023 Apr;64:e24. https://doi.org/10.4111/icu.20230006

2 September 2021 in Metabolites
Verified
Journal Article
Open access
PDF file
SLSujin Lee
Sujin Lee
JKJa Yoon Ku
Ja Yoon Ku
BKByeong Jin Kang
Byeong Jin Kang
KKKyung Hwan Kim
Kyung Hwan Kim
HHHong Koo Ha
Hong Koo Ha
SKSuhkmann Kim
Suhkmann Kim
Prostate cancer (PCa), bladder cancer (BCa), and renal cell carcinoma (RCC) are the most prevalent cancer among urological cancers. However, there are no cancer-specific symptoms that can differentiate them as well as early clinical signs of urological malignancy. Furthermore, many metabolic studies have been conducted to discover their biomarkers, but the metabolic profiling study to discriminate between these cancers have not yet been described. Therefore, in this study, we aimed to investigate the urinary metabolic differences in male patients with PCa (n = 24), BCa (n = 29), and RCC (n = 12) to find the prominent combination of metabolites between cancers. Based on 1H NMR analysis, orthogonal partial least-squares discriminant analysis was applied to find distinct metabolites among cancers. Moreover, the ranked analysis of covariance by adjusting a potential confounding as age revealed that 4-hydroxybenzoate, N-methylhydantoin, creatinine, glutamine, and acetate had significantly different metabolite levels among groups. The receiver operating characteristic analysis created by prominent five metabolites showed the great discriminatory accuracy with area under the curve (AUC) > 0.7 for BCa vs. RCC, PCa vs. BCa, and RCC vs. PCa. This preliminary study compares the metabolic profiles of BCa, PCa, and RCC, and reinforces the exploratory role of metabolomics in the investigation of human urine.

1 January 2025 in Investigative and Clinical Urology
Verified
Journal Article
Open access
PDF file
CLChan Ho Lee
Chan Ho Lee
SKSoodong Kim
Soodong Kim
JKJa Yoon Ku
Ja Yoon Ku
KKKyung Hwan Kim
Kyung Hwan Kim
BKByeong Jin Kang
Byeong Jin Kang
HHHong Koo Ha
Hong Koo Ha
Lee CH, et al. Investig Clin Urol. 2025 Oct;66:e64. https://doi.org/10.4111/icu.20250313

1 January 2024 in Investigative and Clinical Urology
Verified
Journal Article
Open access
PDF file
JCJoongwon Choi
Joongwon Choi
KKKyung Hwan Kim
Kyung Hwan Kim
HKHyung Suk Kim
Hyung Suk Kim
HYHyun Sik Yoon
Hyun Sik Yoon
JKJung Hoon Kim
Jung Hoon Kim
JNJong Kil Nam
Jong Kil Nam
Choi J, et al. Investig Clin Urol. 2024 May;65(3):248-255. https://doi.org/10.4111/icu.20230313

1 January 2025 in Investigative and Clinical Urology
Verified
Journal Article
Open access
PDF file
JPJong Ho Park
Jong Ho Park
SLSangchul Lee
Sangchul Lee
SJSeung-Hwan Jeong
Seung-Hwan Jeong
JKJa Hyun Ku
Ja Hyun Ku
KKKyung Hwan Kim
Kyung Hwan Kim
JOJong Jin Oh
Jong Jin Oh
Park JH, et al. Investig Clin Urol. 2025 Jul;66:e49. https://doi.org/10.4111/icu.20250165