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Original Article
Overexpression of Plasminogen Activator Inhibitor-1 in Advanced Gastric Cancer with Aggressive Lymph Node Metastasis
Yun-Suhk Suh, Jieun Yu, Byung Chul Kim, Boram Choi, Tae-Su Han, Hye Seong Ahn, Seong-Ho Kong, Hyuk-Joon Lee, Woo Ho Kim, Han-Kwang Yang
Cancer Res Treat. 2015;47(4):718-726.   Published online February 2, 2015
DOI: https://doi.org/10.4143/crt.2014.064
AbstractAbstract PDFPubReaderePub
Purpose
The purpose of this study is to investigate differentially expressed genes using DNA microarray between advanced gastric cancer (AGC) with aggressive lymph node (LN) metastasis and that with a more advanced tumor stage but without LN metastasis.
Materials and Methods
Five sample pairs of gastric cancer tissue and normal gastric mucosa were taken from three patients with T3N3 stage (highN) and two with T4N0 stage (lowN). Data from triplicate DNA microarray experiments were analyzed, and candidate genes were identified using a volcano plot that showed ≥ 2-fold differential expression and were significant by Welch's t test (p < 0.05) between highN and lowN. Those selected genes were validated independently by reverse- transcriptase–polymerase chain reaction (RT-PCR) using five AGC patients, and tissue- microarray (TMA) comprising 47 AGC patients.
Results
CFTR, LAMC2, SERPINE2, F2R, MMP7, FN1, TIMP1, plasminogen activator inhibitor-1 (PAI- 1), ITGB8, SDS, and TMPRSS4 were commonly up-regulated over 2-fold in highN. REG3A, CD24, ITLN1, and WBP5 were commonly down-regulated over 2-fold in lowN. Among these genes, overexpression of PAI-1 was validated by RT-PCR, and TMA showed 16.7% (7/42) PAI-1 expression in T3N3, but none (0/5) in T4N0 (p=0.393).
Conclusion
DNA microarray analysis and validation by RT-PCR and TMA showed that overexpression of PAI-1 is related to aggressive LN metastasis in AGC.

Citations

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    Jie Lv, Chunyang Yu, Hanhan Tian, Tao Li, Changhua Yu
    Biomedicines.2023; 11(12): 3346.     CrossRef
  • Helicobacter pylori-induced fibroblast-derived Serpin E1 promotes gastric cancer growth and peritoneal dissemination through p38 MAPK/VEGFA-mediated angiogenesis
    Wei Cheng, Yonghui Liao, Yuan Xie, Qinrong Wang, Leilei Li, Yuanjia Chen, Yan Zhao, Jianjiang Zhou
    Cancer Cell International.2023;[Epub]     CrossRef
  • Analysis of CFTR gene expression as an immunological and prognostic biomarker in pan-cancers
    Qi Wang, Shubing Jia, Jie Zheng, Rongwu Xiang, Yong Cui, Jinghai Zhang, Yijia Xu, Mingyi Zhao
    Computers in Biology and Medicine.2022; 146: 105614.     CrossRef
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    Qiaoyun Zhao, Jun Xie, Jinliang Xie, Rulin Zhao, Conghua Song, Huan Wang, Jianfang Rong, Lili Yan, Yanping Song, Fangfei Wang, Yong Xie
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  • Sustained postoperative plasma elevations of plasminogen activator inhibitor‑1 following minimally invasive colorectal cancer resection
    H.M.C. Kumara, Addison Poppy, Dasuni Gamage, Erica Pettke, Abhinit Shah, Xiaohong Yan, Vesna Cekic, Richard Whelan
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    C. Ward, P. Cauchy, P. Garcia, J. Frampton, M. A. Esteban, G. Volpe
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    Kyle J Anderson, Robert T Cormier, Patricia M Scott
    World Journal of Gastroenterology.2019; 25(38): 5732.     CrossRef
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    Yangyang Qian, Zongfu Pan, Zhenying Guo, Xinyang Ge, Guowan Zheng, Jun Cao, Ping Huang, Xin Zhu, Xuhang Zhu, Qingliang Wen, Minghua Ge
    BioMed Research International.2019; 2019: 1.     CrossRef
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    Jieting Zhang, Yan Wang, Xiaohua Jiang, Hsiao Chang Chan
    Cellular and Molecular Life Sciences.2018; 75(10): 1737.     CrossRef
  • Identification of Potential Key Genes Associated With the Pathogenesis and Prognosis of Gastric Cancer Based on Integrated Bioinformatics Analysis
    Xinkui Liu, Jiarui Wu, Dan Zhang, Zhitong Bing, Jinhui Tian, Mengwei Ni, Xiaomeng Zhang, Ziqi Meng, Shuyu Liu
    Frontiers in Genetics.2018;[Epub]     CrossRef
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  • Proteomic analysis of evodiamine-induced cytotoxicity in thyroid cancer cells
    Hui-I Yu, Hsiu-Chuan Chou, Yi-Ching Su, Li-Hsun Lin, Chieh-Hsiang Lu, Hsiang-Hsun Chuang, Yi-Ting Tsai, En-Chi Liao, Yu-Shan Wei, Yi-Ting Yang, Ying-Ray Lee, Hong-Lin Chan
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  • Dynamic matrisome: ECM remodeling factors licensing cancer progression and metastasis
    Arseniy E. Yuzhalin, Su Yin Lim, Anton G. Kutikhin, Alex N. Gordon-Weeks
    Biochimica et Biophysica Acta (BBA) - Reviews on Cancer.2018; 1870(2): 207.     CrossRef
  • MicroRNA-200c binding to FN1 suppresses the proliferation, migration and invasion of gastric cancer cells
    Hengchun Zhang, Zhiguo Sun, Yan Li, Dong Fan, Hao Jiang
    Biomedicine & Pharmacotherapy.2017; 88: 285.     CrossRef
  • Methylation Levels of LINE-1 As a Useful Marker for Venous Invasion in Both FFPE and Frozen Tumor Tissues of Gastric Cancer
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    Molecules and Cells.2017; 40(5): 346.     CrossRef
  • WW domain binding protein 5 induces multidrug resistance of small cell lung cancer under the regulation of miR-335 through the Hippo pathway
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  • Gastric cancer from operating theatre to bench in Korea
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    British Journal of Surgery.2016; 103(10): 1251.     CrossRef
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  • 15,377 View
  • 163 Download
  • 27 Web of Science
  • 26 Crossref
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Review Article
Systems Biology Approaches to Decoding the Genome of Liver Cancer
Ju-Seog Lee, Ji Hoon Kim, Yun-Yong Park, Gordon B. Mills
Cancer Res Treat. 2011;43(4):205-211.   Published online December 27, 2011
DOI: https://doi.org/10.4143/crt.2011.43.4.205
AbstractAbstract PDFPubReaderePub
Molecular classification of cancers has been significantly improved patient outcomes through the implementation of treatment protocols tailored to the abnormalities present in each patient's cancer cells. Breast cancer represents the poster child with marked improvements in outcome occurring due to the implementation of targeted therapies for estrogen receptor or human epidermal growth factor receptor-2 positive breast cancers. Important subtypes with characteristic molecular features as potential therapeutic targets are likely to exist for all tumor lineages including hepatocellular carcinoma (HCC) but have yet to be discovered and validated as targets. Because each tumor accumulates hundreds or thousands of genomic and epigenetic alterations of critical genes, it is challenging to identify and validate candidate tumor aberrations as therapeutic targets or biomarkers that predict prognosis or response to therapy. Therefore, there is an urgent need to devise new experimental and analytical strategies to overcome this problem. Systems biology approaches integrating multiple data sets and technologies analyzing patient tissues holds great promise for the identification of novel therapeutic targets and linked predictive biomarkers allowing implementation of personalized medicine for HCC patients.

Citations

Citations to this article as recorded by  
  • Systems Challenges of Hepatic Carcinomas: A Review
    Dhatri Madduru, Johny Ijaq, Sujata Dhar, Saumyadip Sarkar, Naresh Poondla, Partha S. Das, Silvia Vasquez, Prashanth Suravajhala
    Journal of Clinical and Experimental Hepatology.2019; 9(2): 233.     CrossRef
  • Epigenetic regulation of hepatocellular carcinoma in non-alcoholic fatty liver disease
    Yuan Tian, Vincent Wai-Sun Wong, Henry Lik-Yuen Chan, Alfred Sze-Lok Cheng
    Seminars in Cancer Biology.2013; 23(6): 471.     CrossRef
  • The Impact of Network Medicine in Gastroenterology and Hepatology
    György Baffy
    Clinical Gastroenterology and Hepatology.2013; 11(10): 1240.     CrossRef
  • 10,078 View
  • 64 Download
  • 3 Crossref
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Erratum
ERRATUM: Correction for Incorrect Citation of Reference and Wording in a Table
Cancer Res Treat. 2011;43(3):204-204.   Published online September 30, 2011
DOI: https://doi.org/10.4143/crt.2011.43.3.204
AbstractAbstract PDFPubReaderePub
No abstract available.
  • 6,547 View
  • 42 Download
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