Kuo-Hung Huang

Dr. Kuo-Hung Huang

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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27 October 2015 in Pathology and Oncology Research
Verified
Journal Article
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YCYun-Chi Chen
Yun-Chi Chen
WFWen-Liang Fang
Wen-Liang Fang
RWRuei-Fang Wang
Ruei-Fang Wang
CLChien-An Liu
Chien-An Liu
MYMuh-Hwa Yang
Muh-Hwa Yang
KHKuo-Hung Huang
Kuo-Hung Huang

1 August 2018 in Gastric Cancer
Verified
Journal Article
Closed access
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YKYi-Chu Kao
Yi-Chu Kao
WFWen-Liang Fang
Wen-Liang Fang
RWRuei-Fang Wang
Ruei-Fang Wang
ALAnna Fen-Yau Li
Anna Fen-Yau Li
MYMuh-Hwa Yang
Muh-Hwa Yang
KHKuo-Hung Huang
Kuo-Hung Huang

1 April 2018 in International Journal of Surgery
Verified
Journal Article
Closed access
KHKuo-Hung Huang
Kuo-Hung Huang
WFWen-Liang Fang
Wen-Liang Fang
ALAnna Fen-Yau Li
Anna Fen-Yau Li
梁博煌 Liang梁博煌 Liang
梁博煌 Liang
CWChew-Wun Wu
Chew-Wun Wu
Muh-Hwa YangMuh-Hwa Yang
Muh-Hwa Yang
Caspase-3 acts as a major executioner protein in proteolytic degradation during apoptosis. The role of Caspase-3 in gastric cancer remains controversial. A total of 366 gastric cancer patients who received curative surgery were enrolled. Caspase-3 expression in gastric tumors was examined by immunohistochemical staining. Correlations between Caspase-3 expression and the survival rates and between Caspase-3 expression and the clinicopathological parameters of the gastric cancer patients were analyzed. The 5-year overall survival rates of gastric cancer patients with and without Caspase-3 expression were 51.2% and 37.3%, respectively (P = 0.030). The 5-year disease-free survival rates of gastric cancer patients with and without Caspase-3 expression were 49.2% and 34.6%, respectively (P = 0.029). Analyses of the clinicopathological features showed that larger tumor size (P = 0.030), more advanced Borrmann type (P = 0.012), more aggressive stromal reaction (P = 0.001), higher classification using Ming's infiltrating histology type (P = 0.018), more lymph node involvement (P = 0.019), and more lymphovascular involvement (P = 0.045) were significantly correlated with a lack of Caspase-3 expression. The multivariate analysis showed that age (P = 0.001), Borrmann classification (P = 0.032), stromal reaction type (P = 0.018), TNM pathological T category (P = 0.002), TNM pathological N category (P < 0.001), and Caspase-3 expression (P = 0.041) were significantly correlated with the overall survival of gastric cancer patients. Caspase-3 expression in gastric cancer patients is related to favorable clinicopathological features and a positive prognosis after curative surgery. Caspase-3 may act as a tumor suppressor in human gastric cancer.

27 April 2020 in Cancers
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Journal Article
Open access
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IWI-Han Wang
I-Han Wang
Tzu-Ting HuangTzu-Ting Huang
Tzu-Ting Huang
JCJi-Lin Chen
Ji-Lin Chen
LCLi-Wei Chu
Li-Wei Chu
YPYueh-Hsin Ping
Yueh-Hsin Ping
TYTien-Shun Yeh
Tien-Shun Yeh
The 3-hydroxy-3-methylglutaryl-CoA synthase 1 (HMGCS1) is a potential regulatory node in the mevalonate pathway that is frequently dysregulated in tumors. This study found that HMGCS1 expression is upregulated in stomach adenocarcinoma samples of patients and tumorspheres of gastric cancer cells. HMGCS1 elevates the expression levels of the pluripotency genes Oct4 and SOX-2 and contributes to tumorsphere formation ability in gastric cancer cells. HMGCS1 also promotes in vitro cell growth and progression and the in vivo tumor growth and lung metastasis of gastric cancer cells. After blocking the mevalonate pathway by statin and dipyridamole, HMGCS1 exerts nonmetabolic functions in enhancing gastric cancer progression. Furthermore, the level and nuclear translocation of HMGCS1 in gastric cancer cells are induced by serum deprivation. HMGCS1 binds to and activates Oct4 and SOX-2 promoters. HMGCS1 also enhances the integrated stress response (ISR) and interacts with the endoplasmic reticulum (ER) stress transducer protein kinase RNA-like endoplasmic reticulum kinase (PERK). Our results reveal that HMGCS1 contributes to gastric cancer progression in both metabolic and nonmetabolic manners.

10 December 2013 in World Journal of Surgery
Verified
Journal Article
Closed access
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KHKuo-Hung Huang
Kuo-Hung Huang
CHChia-Chi Hsu
Chia-Chi Hsu
WFWen‐Liang Fang
Wen‐Liang Fang
CCChin‐Wen Chi
Chin‐Wen Chi
MSMing‐Ta Sung
Ming‐Ta Sung
Hsin-Chen LeeHsin-Chen Lee
Hsin-Chen Lee

15 September 2015 in Journal of Clinical Medicine
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Journal Article
Open access
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WKWei-Ting Kuo
Wei-Ting Kuo
MSMing-Wei Su
Ming-Wei Su
LLLee-Yung Ling
Lee-Yung Ling
CCChien-Hsiun Chen
Chien-Hsiun Chen
CWChew-Wun Wu
Chew-Wun Wu
WLWen-Chang Lin
Wen-Chang Lin
MicroRNAs (miRNAs) play important roles in cellular functions and developmental processes. They are also implicated in oncogenesis mechanisms and could serve as potential cancer biomarkers. Using high-throughput miRNA sequencing information, expression of both the 5p-arm and 3p-arm mature miRNAs were demonstrated and generated from the single miRNA hairpin precursor. However, current miRNA annotations lack comprehensive 5p-arm/3p-arm feature annotations. Among known human mature miRNAs, only half of them are annotated with arm features. This generated ambiguous results in many miRNA-Sequencing (miRNA-Seq) studies. In this report, we have interrogated the TCGA (the Cancer Genome Atlas) miRNA expression datasets with an improved, fully annotated human 5p-arm and 3p-arm miRNA reference list. By utilizing this comprehensive miRNA arm-feature annotations, enhanced determinations and clear annotations were achieved for the miRNA isoforms (isomiRs) recognized from the sequencing reads. In the gastric cancer (STAD) dataset, as an example, 32 5p-arm/3p-arm OPEN ACCESS J. Clin. Med. 2015, 4 1799 specific miRNAs were found to be down-regulated and 24 5p-arm/3p-arm specific miRNAs were found to be up-regulated. We have further extended miRNA biomarker discoveries to additional TCGA miRNA-Seq datasets and provided extensive expression information on 5p-arm/3p-arm miRNAs across multiple cancer types. Our results identified several miRNAs that could be potential common biomarkers for human cancers.