and Yi-Ching Wang

Dr. and Yi-Ching Wang


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

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

Representative Publications

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13 July 2016 in Journal of Biomedical Science
Verified
Journal Article
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JJJayu Jen
Jayu Jen
AWand Yi-Ching Wang
and Yi-Ching Wang
Zinc finger proteins are the largest transcription factor family in human genome. The diverse combinations and functions of zinc finger motifs make zinc finger proteins versatile in biological processes, including development, differentiation, metabolism and autophagy. Over the last few decades, increasing evidence reveals the potential roles of zinc finger proteins in cancer progression. However, the underlying mechanisms of zinc finger proteins in cancer progression vary in different cancer types and even in the same cancer type under different types of stress. Here, we discuss general mechanisms of zinc finger proteins in transcription regulation and summarize recent studies on zinc finger proteins in cancer progression. In this review, we also emphasize the importance of further investigations in elucidating the underlying mechanisms of zinc finger proteins in cancer progression.

1 January 2021 in Theranostics
Verified
Journal Article
Open access
CHChih-Hsiung Hsieh
Chih-Hsiung Hsieh
HHHung-Chia Hsieh
Hung-Chia Hsieh
FSFu-Hsuan Shih
Fu-Hsuan Shih
PWPei-Wen Wang
Pei-Wen Wang
LYLi-Xing Yang
Li-Xing Yang
AWand Yi-Ching Wang
and Yi-Ching Wang
Simultaneous targeting of both the tumor microenvironment and cancer cells by a single nanomedicine has not been reported to date. Here, we report the dual properties of zero-valent-iron nanoparticle (ZVI-NP) to induce cancer-specific cytotoxicity and anti-cancer immunity.

14 June 2017 in Molecular Cancer
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Journal Article
Open access
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JJJayu Jen
Jayu Jen
YTYen-An Tang
Yen-An Tang
YLYing-Hung Lu
Ying-Hung Lu
CLChe-Chung Lin
Che-Chung Lin
WLWu-Wei Lai
Wu-Wei Lai
AWand Yi-Ching Wang
and Yi-Ching Wang
Oct4, a key stemness transcription factor, is overexpressed in lung cancer. Here, we reveal a novel transcription regulation of long non-coding RNAs (lncRNAs) by Oct4. LncRNAs have emerged as important players in cancer progression. Oct4 chromatin-immunoprecipitation (ChIP)-sequencing and several lncRNA databases with literature annotation were integrated to identify Oct4-regulated lncRNAs. Luciferase activity, qRT-PCR and ChIP-PCR assays were conducted to examine transcription regulation of lncRNAs by Oct4. Reconstitution experiments of Oct4 and downstream lncRNAs in cell proliferation, migration and invasion assays were performed to confirm the Oct4-lncRNAs signaling axes in promoting lung cancer cell growth and motility. The expression correlations between Oct4 and lncRNAs were investigated in 124 lung cancer patients using qRT-PCR analysis. The clinical significance of Oct4/lncRNAs signaling axes were further evaluated using multivariate Cox regression and Kaplan-Meier analyses. We confirmed that seven lncRNAs were upregulated by direct binding of Oct4. Among them, nuclear paraspeckle assembly transcript 1 (NEAT1), metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) and urothelial carcinoma-associated 1 (UCA1) were validated as Oct4 transcriptional targets through promoter or enhancer activation. We showed that lung cancer cells overexpressing NEAT1 or MALAT1 and the Oct4-silenced cells reconstituted with NEAT1 or MALAT1 promoted cell proliferation, migration and invasion. In addition, knockdown of NEAT1 or MALAT1 abolished Oct4-mediated lung cancer cell growth and motility. These cell-based results suggested that Oct4/NEAT1 or Oct4/MALAT1 axis promoted oncogenesis. Clinically, Oct4/NEAT1/MALAT1 co-overexpression was an independent factor for prediction of poor outcome in 124 lung cancer patients. Our study reveals a novel mechanism by which Oct4 transcriptionally activates NEAT1 via promoter and MALAT1 via enhancer binding to promote cell proliferation and motility, and led to lung tumorigenesis and poor prognosis.

1 February 2010 in Journal of Clinical Investigation
Verified
Journal Article
Open access
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RLRuo-Kai Lin
Ruo-Kai Lin
YHYi-Shuan Hsieh
Yi-Shuan Hsieh
PLPinpin Lin
Pinpin Lin
HHHan-Shui Hsu
Han-Shui Hsu
CCChih-Yi Chen
Chih-Yi Chen
AWand Yi-Ching Wang
and Yi-Ching Wang
DNA methyltransferase 1 (DNMT1) catalyzes DNA methylation and is overexpressed in many human diseases, including cancer. The tobacco-specific carcinogen NNK also induces DNA methylation. However, the role of DNMT1-mediated methylation in tobacco carcinogenesis remains unclear. Here we used human and mouse lung cancer samples and cell lines to determine a mechanism whereby NNK induced DNMT1 expression and activity. We determined that in a human lung cell line, glycogen synthase kinase 3β (GSK3β) phosphorylated DNMT1 to recruit β-transducin repeat–containing protein (βTrCP), resulting in DNMT1 degradation, and that NNK activated AKT, inhibiting GSK3β function and thereby attenuating DNMT1 degradation. NNK also induced βTrCP translocation to the cytoplasm via the heterogeneous nuclear ribonucleoprotein U (hnRNP-U) shuttling protein, resulting in DNMT1 nuclear accumulation and hypermethylation of the promoters of tumor suppressor genes. Fluorescence immunohistochemistry (IHC) of lung adenomas from NNK-treated mice and tumors from lung cancer patients that were smokers were characterized by disruption of the DNMT1/βTrCP interaction and DNMT1 nuclear accumulation. Importantly, DNMT1 overexpression in lung cancer patients who smoked continuously correlated with poor prognosis. We believe that the NNK-induced DNMT1 accumulation and subsequent hypermethylation of the promoter of tumor suppressor genes may lead to tumorigenesis and poor prognosis and provide an important link between tobacco smoking and lung cancer. Furthermore, this mechanism may also be involved in other smoking-related human diseases.

6 October 2016 in Journal of Biomedical Science
Verified
Journal Article
Open access
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YHYu-Jie Huang
Yu-Jie Huang
AWand Yi-Ching Wang
and Yi-Ching Wang
A large group of small Rab GTPases which mediate secretory and endosomal membrane transport, as well as autophagosome biogenesis, are essential components of vesicle trafficking machinery. Specific Rab protein together with the cognate effectors coordinates the dynamics of trafficking pathway and determines the cargo proteins destination. Functional impairments of Rab proteins by mutations or post-translational modifications disrupting the regulatory network of vesicle trafficking have been implicated in tumorigenesis. Therefore, the vesicle transport regulators play essential roles in the mediation of cancer cell biology, including uncontrolled cell growth, invasion and metastasis. The context-dependent role of the same Rab to act as either an oncoprotein or tumor suppressor in different cancers is found. Such discrepancies may be due in part to the interaction of specific Rab protein with different effectors or cargos in various tumors. Here, we review recent advances in the roles of Rab GTPases in communicating with other effectors in tumor progression. In this review, we also emphasize dysregulation of Rab-mediated membrane delivery shifting normal cell behaviors toward malignancy. Thus, recovery of the dysregulated vesicle trafficking systems in cancer cells may provide future directions for potential strategy to restrain tumor progression.

18 October 2007 in Cancer
Verified
Journal Article
Open access
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HHHan‐Shui Hsu
Han‐Shui Hsu
TCTsz‐Pei Chen
Tsz‐Pei Chen
CHChein‐Hui Hung
Chein‐Hui Hung
CWChiao‐Kai Wen
Chiao‐Kai Wen
RLRuo-Kai Lin
Ruo-Kai Lin
AWand Yi-Ching Wang
and Yi-Ching Wang
BACKGROUND.: Methylation patterns may be useful biomarkers of cancer detection and risk assessment.METHODS.: The methylation status of 6 genes, including a candidate tumor suppressor gene (BLU), the cadherin 13 gene (CDH13), the fragile histidine triad gene (FHIT), the cell cycle control gene p16, the retinoic acid receptor β gene (RARβ), and the Ras association domain family 1 gene (RASSF1A), was examined in plasma samples, corresponding tumor tissues, and normal lung tissues from a group of 63 patients with lung cancer and in plasma samples from 36 cancer‐free individuals. The detection rate of the p16 gene was validated in a test group of 20 patients with lung cancer.RESULTS.: The concordance of methylation in tumor tissues and plasma samples was 86%, 87%, 80%, 75%, 76%, and 84% for the BLU, CDH13, FHIT, p16, RARβ, and RASSF1A genes, respectively. The test group showed a similar concordance for p16 methylation detection. Multiple logistic regression analysis showed that the odds ratio for having lung cancer was 10.204 for individuals with p16 methylation (P = .013) and 9.952 for individuals with RASSFIA methylation (P = .019). After several trial tests, the authors established that methylation for ≥2 of the 6 markers met the criterion for an elevated risk of cancer. Comparisons yielded a sensitivity of 73%, a specificity of 82%, and a concordance of 75% between the methylation patterns in tumor tissues and in corresponding plasma samples. The detection rate was relatively high in cigarette smokers with advanced squamous cell lung cancer.CONCLUSIONS.: The current results indicated that multiple epigenetic markers in the plasma, especially the p16 and RASSF1A genes, can be used for lung cancer detection. This methylation marker panel should improve the detection of cancer or the risk assessment for lung cancer in combination with conventional diagnostic tools. Cancer 2007. © 2007 American Cancer Society.