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MiR-125a regulates chemo-sensitivity to gemcitabine in human pancreatic cancer cells through targeting A20
Author(s) -
Jie Yao,
Zhennan Li,
Xiaodong Wang,
Peng Xu,
Long Zhao,
Jianjun Qian
Publication year - 2016
Publication title -
acta biochimica et biophysica sinica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.771
H-Index - 57
eISSN - 1745-7270
pISSN - 1672-9145
DOI - 10.1093/abbs/gmv129
Subject(s) - gemcitabine , pancreatic cancer , gene knockdown , cancer research , microrna , cancer , medicine , oncology , biology , cell culture , gene , genetics , biochemistry
Pancreatic ductal adenocarcinoma (PDAC) is one of the most deadly human malignant diseases and the sixth leading cause of cancer-related deaths in China. Gemcitabine is the only first-line chemotherapeutic agent used for the palliative treatment of patients with PDAC, but chemo-resistance limits their efficacy. Here, we showed that miR-125a was up-regulated in chemo-resistant SW1990GZ cells when compared with SW1990 cells. Over-expression of miR-125a increased the chemo-resistance to gemcitabine in SW1990 cells, while down-regulation of miR-125a in SW1990GZ cells increased chemo-sensitivity to gemcitabine. By using bioinformatics analysis tool (Targetscan), the 3' untranslated region (3'UTR) of A20 gene was found to be a target of miR-125a. Luciferase reporter assay further confirmed that A20 3'UTR is a direct target of miR-125a. Over-expression of A20 in SW1990 cells increased chemo-sensitivity to gemcitabine, while knockdown of A20 in SW1990 cells promoted the chemo-resistance to gemcitabine. Finally, the expression level of miR-125a in pancreatic cancer tissues from chemo-sensitive patients was significantly lower than that from chemo-resistant patients, and was inversely correlated with the A20 mRNA levels. In conclusion, our results suggest that miR-125a promotes chemo-resistance to gemcitabine in pancreatic cells through targeting A20, which may provide novel therapeutic targets or molecular biomarkers for cancer therapy and improve tumor diagnosis or predictions of therapeutic responses.

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