期刊
PLOS ONE
卷 6, 期 11, 页码 -出版社
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0024855
关键词
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资金
- National Institutes of Health through M.D. Anderson's Cancer Center [CA-016672, CA-070907, CA-124591]
- Department of Defense [W81XWH-07-1-0306]
- National Natural Science Foundation of China [30600611, 81071912]
- Third Military Medical University of China
- Homer Flower Gene Therapy Fund
- Charles Rogers Gene Therapy Fund
- Margaret Wiess Elkins Endowed Research Fund
- Flora and Stuart Mason Lung Cancer Research Fund
- Phalan Thoracic Gene Therapy Fund
- George P. Sweeney Esophageal Research Fund
Background: In this study, we investigated whether PKR protein expression is correlated with mRNA levels and also evaluated molecular biomarkers that are associated with PKR, such as phosphorylated PKR (p-PKR) and phosphorylated eIF2 alpha (p-eIF2 alpha). Methodology and Findings: We determined the levels of PKR protein expression and mRNA in 36 fresh primary lung tumor tissues by using Western blot analysis and real-time reverse-transcriptase PCR (RT-PCR), respectively. We used tissue microarrays for immunohistochemical evaluation of the expression of p-PKR and p-eIF2 alpha proteins. We demonstrated that PKR mRNA levels are significantly correlated with PKR protein levels (Spearman's rho = 0.55, p, 0.001), suggesting that PKR protein levels in tumor samples are regulated by PKR mRNA. We also observed that the patients with high p-PKR or p-eIF2 alpha expression had a significantly longer median survival than those with little or no p-PKR or p-eIF2 alpha expression (p = 0.03 and p = 0.032, respectively). We further evaluated the prognostic effect of combined expression of p-PKR plus PKR and p-eIF2 alpha plus PKR and found that both combinations were strong independent prognostic markers for overall patient survival on stage I and all stage patients. Conclusions: Our findings suggest that PKR protein expression may controlled by transcription level. Combined expression levels of PKR and p-PKR or p-eIF2 alpha can be new markers for predicting the prognosis of patients with NSCLC.
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