Objective To investigate the feasibility of detection of epidermal growth factor receptor ( EGFR) exon 19 deletions and exon 21 L858R mutations in pleural effusion fromnon-small-cell lung cancer ( NSCLC) patients by mutant enriched PCR assay. Methods The mutations of exon 19 and 21 of EGFR gene in pleural samples fromthirty NSCLC patients were analyzed using both the mutant-enriched PCR assay and the non-enriched PCR assay. Results Ten ( 33. 3% , 10/ 30) exon 19 deletions and five ( 16. 7% , 5/30) exon 21 L858R mutation were detected by the mutant-enriched PCR assay, while only 6 cases ( 20. 0% ) and 1 case ( 3. 3% ) were detected by the non-enriched PCR assay respectively. The difference of mutation detection rate of EGFR gene between the two methods was statistically significant ( P = 0. 032) . Mutations were detected in all of partial responders ( 2 /4) among the four patients who received gefitinib therapy. Conclusions Mutant-enriched PCR assay can detect EGFR exon 19 deletions and exon 21 L858R mutation in pleural effusion from NSCLC patients effectively, economically and accurately. It may be a valuable biomarker for gefitinib therapy in advanced NSCLC.
Objective To evaluate the clinical significance of epidermal growth factor receptor EGFR) mutations in the treatment of non-small cell lung cancer ( NSCLC) . Methods Plasma DNAs solated fromblood specimens of 170 NSCLC patients, who were admitted in the First Affiliated Hospital of uangzhou Medical College from December 2005 to December 2007, were subjected to the test of EGFR utant-enriched PCR. The correlation of mutant detection with clinical characteristics was analyzed as well.Results Out of the total 170 patients, EGFR mutations were identified in 77 cases ( 77 /170, 45. 3% ) .EGFR mutations were more frequent in the patients with adenocarcinoma ( P lt; 0. 001) and in the nonsmokers P =0. 001) . In the 33 patients treated with gefitinib, those with mutations ( + ) showed a higher esponse rate and prolonged progression-free survival after the treatment compared with those with mutations( - ) ( P =0. 001 and 0. 001, respectively) . Conclusions EGFR active mutations can be specifically and ensitively detected by EGFR mutant enriched PCR assay. Plasma EGFR mutants detection is valuable in uiding clinical decision.
Objective To calculate the recovery rate and enrichment factor and to analyse the correlation by measuring the concentrations of platelets, leukocyte, and growth factors in platelet-rich plasma (PRP) so as to evaluate the feasibil ity and stabil ity of a set of PRP preparation. Methods The peripheral blood (40 mL) was collected from 30 volunteers accorded with the inclusion criteria, and then 4 mL PRP was prepared using the package produced by Shandong Weigao Group Medical Polymer Company Limited. Automatic hematology analyzer was used to count the concentrations of platelets and leukocyte in whole blood and PRP. The enrichment factor and recovery rate of platelets or leukocyte were calculated; the platelet and leukocyte concentrations of male and female volunteers were measured, respectively. The concentrations of platelet-derived growth factor (PDGF), transforming growth factor β (TGF-β), and vascular endothel ial growth factor (VEGF) were assayed by ELISA. Results The platelet concentrations of whole blood and PRP were (131.40 ± 29.44) × 109/L and (819.47 ± 136.32) × 109/L, respectively, showing significant difference (t=—27.020, P=0.000). The recovery rate of platelets was 60.85% ± 8.97%, and the enrichment factor was 6.40 ± 1.06. The leukocyte concentrations of whole blood and PRP were (5.57 ± 1.91) × 1012/L and (32.20 ± 10.42) × 1012/L, respectively, showing significant difference (t=—13.780, P=0.000). The recovery rate of leukocyte was 58.30% ± 19.24%, and the enrichment factor was 6.10 ± 1.93. The concentrations of platelets and leukocyte in PRP were positively correlated with the platelet concentration (r=0.652, P=0.000) and leukocyte concentration (r=0.460, P=0.011) in whole blood. The concentrations of platelet and leukocyte in PRP between male and female were not significantly different (P gt; 0.05). The concentrations of PDGF, TGF-β, and VEGF in PRP were (698.15 ± 64.48), (681.36 ± 65.90), and (1 071.55 ± 106.04) ng/ mL,which were (5.67 ± 1.18), (6.99 ± 0.61), and (5.74 ± 0.83) times higher than those in the whole blood, respectively. PDGF concentration (r=0.832, P=0.020), TGF-β concentration (r=0.835, P=0.019), and VEGF concentration (r=0.824, P=0.023) in PRP were positively correlated with platelet concentration of PRP. Conclusion PRP with high concentrations of platelets, white blood cells and growth factors can be prepared stably by this package.
ObjectiveTo explore the mechanism of postoperative recurrence of hepatocellular carcinoma(HCC) and predicting the candidate drug. MethodsThe differently expressed genes of the human gene expression profiles with 35 postoperative recurrence of HCC tissues and 41 no recurrence of HCC tissues were identified. Then enriched these genes with gene ontology(GO) terms and KEGG pathway, and predicting the candidate drugs for suppress the postoperative recurrence using Connectivity Map(cmap) database. ResultsSeveral pathways such as Focal adhesion and MAPK signaling pathway were found involve in postoperative recurrence of HCC. Moreover, two candidate small molecule drugs(bambuterol and lovastatin) were found may suppress and postoperative recurrence of HCC. ConclusionFocal adhesion and MAPK signaling pathway may involve in the postoperative recurrence of HCC, bambuterol and lovastatin may candidate drugs for treat postoperative recurrence of HCC.
Nucleic acid aptamer is an oligonucleotide sequence screened by the exponential enrichment ligand system evolution technology (SELEX). Previous studies have shown that nucleic acid aptamer has a good application prospect in tumor diagnosis and treatment. Therefore, we reviewed the selection and identification of nucleic acid aptamer of lung cancer cells in recent years, and discussed the effect of aptamer as targeting drugs and targeting vectors on the diagnosis of tumors, which provide a new idea for early diagnosis and treatment of tumor.
ObjectiveTo investigate key differentially expressed genes (DEGs) in peripheral blood of idiopathic epilepsy patients, as well as their biological functions, cellular localization, involved signaling pathways, through bioinformatics analysis. So to provide new insights for the pathogenesis and prevention of idiopathic epilepsy.MethodsFirstly, we screened and downloaded microarray data including 6 peripheral blood samples of drug-naive patients with idiopathic epilepsy, 8 peripheral blood samples of responders of idiopathic epilepsy treated with Valproate (VPA), and 10 peripheral blood samples of non-responders of idiopathic epilepsy treated with VPA from Gene Expression Omnibus (GEO) data series GSE143272, which Public in January 2020. Secondly, we identified DEGs via the limma package and others in R software. Then we had gotten 74 DEGs, and subsequently conducted gene ontology and pathway enrichment analysis, PPI network analysis and hub gene analysis, using multiple methods containing DAVID, STRING, and Cytohubba in Cytoscape.ResultsWe had identified significant hub DEGs, including TREML3P, KCNJ15, ORM1, RNA28S5, ELANE, RETN, ARG1, LCN2, SLPI, HP, PGLYRP1, BPI, DEFA4, TCN1, MPO, MMP9, CTSG, CXCL8, RNASE3, RNASE2, S100A12, DEFA1B, DEFA1, DEFA3, CEACAM8, MS4A3, PTGS2, PI3, CCL3. The biological processes involved in these DEGs include immune response, inflammatory response, chemotaxis, etc. While, the molecular function is focused on peroxidase activity, chemokine activity, etc. Moreover, KEGG pathway enrichment analysis shows that DEGs were mainly involved in cytokine-cytokine receptor interaction, Toll-like receptor signaling pathway, chemokine signaling pathway and so on.ConclusionThese important key DEGs may be involved in the onset and development of idiopathic epilepsy through a variety of signaling pathways and complex mechanisms.
ObjectiveTo understand the latest progress of enrichment technology of circulating tumor cells (CTCs), and summarize the principle, advantages and disadvantages of various enrichment technologies and their applications in primary liver cancer (PLC). MethodThe literature relevant to the enrichment methods of CTCs in the PLC was reviewed and summarized. ResultsThe clinical significances of CTCs in the early diagnosis and staging, hierarchical diagnosis and treatment, and efficacy monitoring of patients with PLC had been recognized. There were many separation and enrichment technologies for CTC, which were mainly based on the differences of physical and biochemical characteristics, as well as the combination of enrichment methods with various principles. Each enrichment method had corresponding advantages and disadvantages, and few enrichment methods for CTC was applied to PLC. ConclusionsAlthough many problems need to be solved in enrichment method of CTCs at present, it is believed that the existing problems will be solved one by one with continuous improvement of technology. And CTC detection is expected to apply in clinical, so as to provide more efficient diagnosis and treatment methods for patients with PLC.
Objective To investigate the relationships between circulating tumor cells (CTCs), circulating tumor endothelial cells (CTECs) and treatment methods in patients with nasopharyngeal carcinoma (NPC) at different stages of treatment. Methods The data of NPC patients at different treatment periods in West China Hospital of Sichuan University from March 2016 to November 2019 were retrospectively collected. The patients received CTCs test and part of those patients received CTECs test, by subtraction enrichment-immunostaining-fluorescence in situ hybridization. The relationships of CTCs and CTECs with radiotherapy and chemotherapy, and the correlations between CTCs and CTECs in NPC patients were analyzed. Results A total of 191 patients were included. Among them, there were 66 cases before initial treatment, 38 cases after induction chemotherapy, and 87 cases after concurrent chemoradiotherapy. A total of 127 patients received CTECs test, including 41 cases before initial treatment, 29 cases after induction chemotherapy, and 57 cases after concurrent chemoradiotherapy. The positive rates of CTCs were 89.4%, 81.6% and 69.0% respectively in the three stages of treatment, and the difference was statistically significant only between the pre-treatment group and the post-concurrent chemoradiotherapy group (P=0.003). The number of CTCs in the post-concurrent chemoradiotherapy group was lower than that in the pre-treatment group and the post-induction chemotherapy group (P<0.001, P=0.002). The number of triploid CTCs in the post-concurrent chemoradiotherapy group was significantly different from that in the pre-treatment group and the post-induction chemotherapy group (P=0.009, P=0.013). The number of tetraploid CTCs in the post-concurrent chemoradiotherapy group was significantly different from that in the post-induction chemotherapy group (P=0.007). The number of polyploidy (pentaploid or > 5 copies of chromosome 8) CTCs in the post-concurrent chemoradiotherapy group was significantly different from that in the pre-treatment group (P<0.001). The positive rates of CTECs were 70.7%, 82.8% and 64.9% respectively in the three stages of treatment, and the difference was not statistically significant (P>0.05). The number of CTECs in the post-concurrent chemoradiotherapy group was only lower than that in the post-induction chemotherapy group (P=0.009). There was no significant difference in the number of triploid or tetraploid CTECs among the three groups (P=0.265, P=0.088). The number of polyploid CTECs was statistically different only between the post-concurrent chemoradiotherapy group and the post-induction chemotherapy group (P=0.007). Spearman correlation analysis showed that there was a significant positive correlation between CTCs and CTECs (rs=0.437, P<0.001). Conclusions Concurrent chemoradiotherapy plays a decisive role in reducing the number of CTCs in the blood of NPC patients, while induction chemotherapy does not appear to directly cause changes in the number of CTCs. In NPC patients, different types of CTCs have different responses to different treatments. There is a significant positive correlation between CTECs level and CTCs level in NPC.