BackgroundDepletion of Poly-C binding protein-1(PCBP1) is implicated in various human malignancies. However, the underlying biological effect of PCBP1 in cancers, including acute myeloid leukemia (AML), still remains elusive. The purpose of this study was to examine the expression and clinical outcome of PCBP1in acute myeloid leukemia.MethodsBone marrow fluids of 88 newly diagnosed AML patients were sampled, and the PCBP1 mRNA expression level was evaluated using quantitative RT-PCR. The association between PCBP1 expression and clinicopathological features or the survival status of the patients was assessed by Chi-square test and Kaplan-Meier method.ResultsComparing newly diagnosed AML patients to normal healthy donors, PCBP1 expression was significantly decreased in AML patients (P < 0.001). Conversely, PCBP1 expression had accordingly recovered back to normal in patients with complete remission (P < 0.001). Clinical feature analyses showed that PCBP1 expression was negatively correlated with white blood cell count (P = 0.024). In addition, patients with low PCBP1 expression had poor disease-free survival (11.8 % vs. 45.3 %; P = 0.01) and overall survival (18.2 % vs. 42.4 %; P = 0.032), respectively.ConclusionsTaken together, our results showed for the first time that expression of PCBP1 was down-regulated in newly diagnosed AML patients and might be an independent prognostic marker in AML and should to be further investigated.
Background and objectives: To date, the omentum-derived determinants of ovarian cancer (OC) metastasis to the omentum have not been well elucidated. We aimed to identify the pathogenesis, potential biomarkers, and prognostic indicators underlying the omental metastasis of OC.
Methods:The expression profile GSE120196 included datasets of omental tissues from four patients with benign gynecologic diseases and cancer-infiltrated omental tissues from ten patients with high-grade serous OC. Using this dataset, we performed an analysis of differentially expressed genes (DEGs), gene ontology, Kyoto Encyclopedia of Genes and Genome, and pathway networks. The most significant module based on protein-protein interaction (PPI) network was selected, and the genes in the module were identified as hub genes. Furthermore, survival analysis and translational level of hub genes were performed to verify the results.Results: A total of 301 upregulated DEGs and 128 downregulated DEGs were identified. Pathways in cancer, focal adhesion and Wnt signaling were found to play critical roles. Ten hub genes were identified from PPI network analysis. Expression levels of two key genes, COL1A1 and VCAN, were significantly associated with worse prognosis of patients with advanced ovarian cancer.
Conclusions:Our findings suggest that pathways in cancer, focal adhesion, Wnt signaling, and expression levels of two key genes, COL1A1 and VCAN, may become novel targets for the diagnosis and therapy of ovarian cancer with omental metastasis.
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