Min Soo Kim

Dr. Min Soo Kim


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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27 May 2010 in Molecular Cancer
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Journal Article
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YKYoung-Rang Kim
Young-Rang Kim
KOKYUNG-JIN OH
KYUNG-JIN OH
RPRa-Young Park
Ra-Young Park
NXNguyen Thi Xuan
Nguyen Thi Xuan
TKTaek Won Kang
Taek Won Kang
CJChaeyong Jung
Chaeyong Jung
Background: Androgen signaling plays a critical role in the development of prostate cancer and its progression. However, androgen-independent prostate cancer cells emerge after hormone ablation therapy, resulting in significant clinical problems. We have previously demonstrated that the HOXB13 homeodomain protein functions as a prostate cancer cell growth suppressor by inhibiting androgen-mediated signals. However, the role of the HOXB13 in androgen-independent growth of prostate cancer cells remains unexplained. Results: In this report, we first demonstrated that HOXB13 was highly overexpressed in hormone-refractory tumors compared to tumors without prostate-specific antigen after initial treatment. Functionally, in an androgen-free environment minimal induction of HOXB13 in LNCaP prostate cancer cells, to the level of the normal prostate, markedly promoted cell proliferation while suppression inhibited cell proliferation. The HOXB13-mediated cell growth promotion in the absence of androgen, appears to be mainly accomplished through the activation of RB-E2F signaling by inhibiting the expression of the p21waf tumor suppressor. Indeed, forced expression of HOXB13 dramatically decreased expression of p21waf; this inhibition largely affected HOXB13-mediated promotion of E2F signaling. Conclusions: Taken together, the results of this study demonstrated the presence of a novel pathway that helps understand androgen-independent survival of prostate cancer cells. These findings suggest that upregulation of HOXB13 is associated with an additive growth advantage of prostate cancer cells in the absence of or low androgen concentrations, by the regulation of p21-mediated E2F signaling.

6 February 2023 in BMC Bioinformatics
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Journal Article
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SOSeungwon Oh
Seungwon Oh
SKSae-Ryung Kang
Sae-Ryung Kang
In-Jae OhIn-Jae Oh
In-Jae Oh
MKMin Soo Kim
Min Soo Kim
Background: Lung cancer is the leading cause of cancer-related deaths worldwide. The majority of lung cancers are non-small cell lung cancer (NSCLC), accounting for approximately 85% of all lung cancer types. The Cox proportional hazards model (CPH), which is the standard method for survival analysis, has several limitations. The purpose of our study was to improve survival prediction in patients with NSCLC by incorporating prognostic information from F-18 fluorodeoxyglucose positron emission tomography (FDG PET) images into a traditional survival prediction model using clinical data. Results: The multimodal deep learning model showed the best performance, with a C-index and mean absolute error of 0.756 and 399 days under a five-fold cross-validation, respectively, followed by ResNet3D for PET (0.749 and 405 days) and CPH for clinical data (0.747 and 583 days). Conclusion: The proposed deep learning-based integrative model combining the two modalities improved the survival prediction in patients with NSCLC.

18 May 2016 in Oncotarget
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Journal Article
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YCYoung-Suk Cho
Young-Suk Cho
MDManh-Hung Do
Manh-Hung Do
SKSe-Young Kwon
Se-Young Kwon
Changjong MoonChangjong Moon
Changjong Moon
KKKwonseop Kim
Kwonseop Kim
CJChaeyong Jung
Chaeyong Jung
Efficacy of CD46-targeting chimeric Ad5/35 adenoviral gene therapy for colorectal cancers Efficacy of CD46-targeting chimeric Ad5/35 adenoviral gene therapy for colorectal cancers

15 January 2016 in Oncology Reports
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Journal Article
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YKYoung-Rang Kim
Young-Rang Kim
TKTaek Won Kang
Taek Won Kang
PTPhuong Kim To
Phuong Kim To
NNNguyen Thi Xuan Nguyen
Nguyen Thi Xuan Nguyen
YCYoung Seok Cho
Young Seok Cho
MKMin Soo Kim
Min Soo Kim
Many prostate cancer (PCa) patients die of recurrent disease due to the emergence of hormone-independent cancer cells of which the mechanism is not fully understood. Our previous studies demonstrated that most castration- resistant prostate cancers (CRPC) overexpress the HOXB13 transcription factor to confer positive growth signals. Since HOXB13 also suppresses p21WAF1/CIP1 (p21) expression, we studied the correlation between HOXB13 and p21 in selected samples of PCa. While there was no statistically significant correlation between expression of HOXB13 and p21, HOXB13-deficient tumors had three times higher odds for expressing p21 than HOXB13-positive tumors. Moreover, CRPC showed more negative correlation than hormone-dependent PCa (HDPC). Further in vitro proliferation assay demonstrated that androgen did not affect the growth-suppressive function of p21 in androgen-dependent PCa cells, suggesting that p21 seems to override the growth-promoting function of androgen and suppression of p21 expression by HOXB13 is an important step in PCa cell survival under no androgen influence. HOXB13 also inhibited AP-1 signals via suppressed expression of JNK/c-Jun. While HOXB13 suppressed p21 expression via regulation of JNK signals, alteration of p21 expression also affected c-Jun and AP-1 activity. Taken together, overexpression of HOXB13 in CRPC is an important step in avoiding the growth-suppressive effect of p21 in a harsh condition such as an androgen-deprived environment.

23 August 2021 in Applied Sciences
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JYJihye Yoo
Jihye Yoo
YJyeongbong Jin
yeongbong Jin
BKBonggyun Ko
Bonggyun Ko
MKMin Soo Kim
Min Soo Kim
Cardiovascular diseases are the leading cause of death globally. The ECG is the most commonly used tool for diagnosing cardiovascular diseases, and, recently, there are a number of attempts to use deep learning to analyze ECG. In this study, we propose a method for performing multi-label classification on standard ECG (12-lead with duration of 10 s) data. We used the ResNet model that can perform residual learning as a base model for classification in this work, and we tried to improve performance through SE-ResNet, which added squeeze and excitation blocks on the plain ResNet. As a result of the experiment, it was possible to induce overall performance improvement through squeeze and excitation blocks. In addition, the random k-labelsets (RAKEL) algorithm was applied to improve the performance in multi-label classification problems. As a result, the model that applied soft voting through the RAKEL algorithm to SE-ResNet-34 represented the best performance, and the average performances according to the number of label divisions k were achieved 0.99%, 88.49%, 92.43%, 90.54%, and 93.40% in exact match, accuracy, F1-score, precision, and recall, respectively.

Verified
Journal Article
Open access
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KTKim Phuong To
Kim Phuong To
MDManh-Hung Do
Manh-Hung Do
YCYoung-Suk Cho
Young-Suk Cho
SKSe-Young Kwon
Se-Young Kwon
MKMin Soo Kim
Min Soo Kim
CJChaeyong Jung
Chaeyong Jung
The prostate gland contains a high level of intracellular zinc, which is dramatically diminished during prostate cancer (PCa) development. Owing to the unclear role of zinc in this process, therapeutic applications using zinc are limited. This study aimed to clarify the role of zinc and its underlying mechanism in the growth of PCa. ZnCl2 suppressed the proliferation of androgen receptor (AR)-retaining PCa cells, whereas it did not affect AR-deficient PCa cells. In LNCaP and TRAMP-C2 cells, zinc downregulated the expression of AR in a dose- and time-dependent fashion. Zinc-mediated AR suppression accordingly inhibited the androgen-mediated transactivation and expression of the androgen target, prostate specific antigen (PSA). This phenomenon resulted from facilitated protein degradation, not transcriptional control. In studies using mice bearing TRAMP-C2 subcutaneous tumors, the intraperitoneal injection of zinc significantly reduced tumor size. Analyses of both xenograft tumors and normal prostates showed reduced expression of AR and increased cell death. Considering the significant loss of intracellular zinc and the dominant growth-modulating role of AR during PCa development, loss of zinc may be a critical step in the transformation of normal cells to cancer cells. This study provides the underlying mechanism by which zinc functions as a PCa suppressor, and forms the foundation for developing zinc-mediated therapeutics for PCa.