Literature DB >> 26782462

Correlation of miR-494 expression with tumor progression and patient survival in pancreatic cancer.

Y B Ma1,2, G X Li3, J X Hu4, X Liu5, B M Shi1,6.   

Abstract

MicroRNA-494 (miR-494) expression is aberrant in various types of human cancer. However, the prognostic value of miR-494 in pancreatic cancer remains unclear. The level of miR-494 expression was determined in 99 pairs of primary pancreatic cancer and their corresponding, adjacent non-tumor tissues by using quantitative reverse transcriptase polymerase chain reaction. We also analyzed the associations between miR-494 expression and clinicopathological features. The survival correlations were analyzed by using the Kaplan-Meier method and Cox proportional hazards model. The level of miR-494 expression was significantly downregulated in pancreatic cancer tissues (mean relative expression level ± SD, 0.48 ± 0.11) as compared to matched adjacent normal tissues (1.80 ± 0.28, P < 0.05). We found significant correlations between the miR-494 expression levels and TNM stage (P = 0.009), lymphatic invasion (P = 0.036), vascular invasion (P = 0.011), distant metastasis (P = 0.007), and tumor grade (P = 0.031). Pancreatic cancer patients with a low miR-494 expression level had a shorter overall survival than those with a high miR-494 expression level (P < 0.05). Reduced miR-494 expression in pancreatic cancer tissues is correlated with tumor progression and might be an independent, poor prognostic factor for patients with pancreatic cancer.

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Year:  2015        PMID: 26782462     DOI: 10.4238/2015.December.23.2

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  10 in total

1.  Prognostic and clinicopathological significance of microRNA-494 overexpression in cancers: a meta-analysis.

Authors:  Zhenxian Xiang; Min Sun; Zewei Yuan; Chunxiao Zhang; Jun Jiang; Sihao Huang; Bin Xiong
Journal:  Oncotarget       Date:  2017-11-03

Review 2.  Prognostic value of microRNA expression levels in pancreatic adenocarcinoma: a review of the literature.

Authors:  Patrick Wald; X Shawn Liu; Cory Pettit; Mary Dillhoff; Andrei Manilchuk; Carl Schmidt; Evan Wuthrick; Wei Chen; Terence M Williams
Journal:  Oncotarget       Date:  2017-08-16

3.  MicroRNA-494 inhibits breast cancer progression by directly targeting PAK1.

Authors:  Meng-Na Zhan; Xiao-Ting Yu; Jun Tang; Ci-Xiang Zhou; Chen-Long Wang; Qian-Qian Yin; Xiu-Feng Gong; Ming He; Jian-Rong He; Guo-Qiang Chen; Qian Zhao
Journal:  Cell Death Dis       Date:  2017-01-05       Impact factor: 8.469

4.  Dysregulation of miR-3607 predicts prognosis of hepatocellular carcinoma and regulates tumor cell proliferation, migration and invasion.

Authors:  Wenwen Dou; Min Yang; Yan Su; Ruizhu Xie
Journal:  Diagn Pathol       Date:  2020-05-13       Impact factor: 2.644

5.  Prognostic value of microRNAs in pancreatic cancer: a meta-analysis.

Authors:  Fei Zhao; Chao Wei; Meng-Ying Cui; Qiang-Qiang Xia; Shuai-Bin Wang; Yue Zhang
Journal:  Aging (Albany NY)       Date:  2020-05-18       Impact factor: 5.682

6.  Indirect regulation of TFPI-2 expression by miR-494 in breast cancer cells.

Authors:  Marianne S Andresen; Benedicte Stavik; Marit Sletten; Mari Tinholt; Per Morten Sandset; Nina Iversen; Grethe Skretting
Journal:  Sci Rep       Date:  2020-03-04       Impact factor: 4.379

7.  Long non-coding RNA HULC as a diagnostic and prognostic marker of pancreatic cancer.

Authors:  Zheng-Lin Ou; Zhen Luo; Ye-Bin Lu
Journal:  World J Gastroenterol       Date:  2019-12-14       Impact factor: 5.742

8.  Identification of Candidate MicroRNA-mRNA Subnetwork for Predicting the Osteosarcoma Progression by Bioinformatics Analysis.

Authors:  Dejie Lu; Hanji Huang; Li Zheng; Kanglu Li; Xiaofei Cui; Xiong Qin; Mingjun Zheng; Nanchang Huang; Chaotao Chen; Jinmin Zhao; Bo Zhu
Journal:  Comput Math Methods Med       Date:  2022-09-22       Impact factor: 2.809

9.  miR‑494 inhibits cell proliferation and metastasis via targeting of CDK6 in osteosarcoma.

Authors:  Wei Yuan; Du Wang; Yang Liu; Dongdong Tian; Yang Wang; Ranxi Zhang; Liangjun Yin; Zhongliang Deng
Journal:  Mol Med Rep       Date:  2017-10-04       Impact factor: 2.952

Review 10.  MicroRNAs Targeting MYC Expression: Trace of Hope for Pancreatic Cancer Therapy. A Systematic Review.

Authors:  Roshanak Shams; Hamid Asadzadeh Aghdaei; Ali Behmanesh; Amir Sadeghi; Mohammadareza Zali; Sina Salari; José M Padrón
Journal:  Cancer Manag Res       Date:  2020-04-01       Impact factor: 3.989

  10 in total

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