Zhuang Yu

Genetic polymorphisms of GSTP1 and XRCC1: prediction of clinical outcome of platinum-based chemotherapy in advanced non-small cell lung cancer (NSCLC) patients.

PRINCIPLES Platinum agents cause DNA cross-linking and oxidative damage. Genetic polymorphisms of GSTP1 and XRCC1 involved in glutathione metabolic and DNA repair pathways may explain inter individual differences in chemosensitivity and clinical outcome in NSCLC patients treated with platinum-based regimens. METHODS We used DNA sequencing methods to evaluate genetic polymorphisms of the GSTP1A313G and XRCC1G28152A in 111 patients with stage IV NSCLC treated with platinum-based chemotherapy. Clinical response was evaluated according to RECIST criteria after 2-3 cycles of chemotherapy and time to progression (TTP) was calculated from the time of initial treatment to disease progression. RESULTS GSTP1A313G and XRCC1G28152A polymorphisms, both alone and in combination, were significantly associated with response to treatment and clinical outcome (p <0.05) in NSCLC patients treated with platinum-based chemotherapy. These polymorphisms independently predicted clinical outcome even after taking into account age, gender, tumour histology, tumour differentiation and chemotherapy regimens. CONCLUSION Genetic polymorphisms of GSTP1 and XRCC1 may be important predictive factors in platinum-treated patients with advanced NSCLC. Assessment of genetic variations of GSTP1 and XRCC1 could facilitate therapeutic decisions for individualised therapy in advanced NSCLC.

Prognostic significance of neutrophil-lymphocyteratio/platelet-lymphocyteratioin lung cancers: a meta-analysis

Setting For now, hematological markers of inflammatory response have emerged as prognostic factors for patients with cancer. Many articles have confirm that neutrophil to lymphocyte ratio(NLR) and platelet–lymphocyte ratio (PLR) are relate with poor prognosis in various types of tumors. Objective To investigate the association between NLR/PLR and progression free survival (PFS), overall survival (OS) and clinicopathologic parameters in lung cancer patients. Design We performed relevant searches in PubMed database, Google Scholar, Springer Link. We included retrospective cohort studies that reported hazard ratios with 95% confidence intervals for the NLR or PLR and PFS or OS. Results Both high NLR (P < 0.00001) and high PLR (P = 0.01) were significantly predictive of poorer OS. It also demonstrated that elevated NLR predicted poorer PFS (P = 0.0002). High NLR was significantly associated with deeper Invasive of tumor, (P = 0.006) extensive lymph nodetastasis(N2–3) (P = 0.01), poor differentiation (P = 0.0002) and vascular invasion(P = 0.002). There was no evidence of publication bias. Subgroup analysis indicated that little evidence of heterogeneity. However, PLR has no prognostic significance for SCLC. Conclusions We provides further evidence in support of elevated NLR and PLR were predictors of poor OS and PFS in patients with lung cancer. Given this, NLR and PLR may be markers to report treatment outcomes.

Prediction of Lung Cancer Based on Serum Biomarkers by Gene Expression Programming Methods

In diagnosis of lung cancer, rapid distinction between small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) tumors is very important. Serum markers, including lactate dehydrogenase (LDH), C-reactive protein (CRP), carcino-embryonic antigen (CEA), neurone specific enolase (NSE) and Cyfra21-1, are reported to reflect lung cancer characteristics. In this study classification of lung tumors was made based on biomarkers (measured in 120 NSCLC and 60 SCLC patients) by setting up optimal biomarker joint models with a powerful computerized tool - gene expression programming (GEP). GEP is a learning algorithm that combines the advantages of genetic programming (GP) and genetic algorithms (GA). It specifically focuses on relationships between variables in sets of data and then builds models to explain these relationships, and has been successfully used in formula finding and function mining. As a basis for defining a GEP environment for SCLC and NSCLC prediction, three explicit predictive models were constructed. CEA and NSE are frequently- used lung cancer markers in clinical trials, CRP, LDH and Cyfra21-1 have significant meaning in lung cancer, basis on CEA and NSE we set up three GEP models-GEP 1(CEA, NSE, Cyfra21-1), GEP2 (CEA, NSE, LDH), GEP3 (CEA, NSE, CRP). The best classification result of GEP gained when CEA, NSE and Cyfra21-1 were combined: 128 of 135 subjects in the training set and 40 of 45 subjects in the test set were classified correctly, the accuracy rate is 94.8% in training set; on collection of samples for testing, the accuracy rate is 88.9%. With GEP2, the accuracy was significantly decreased by 1.5% and 6.6% in training set and test set, in GEP3 was 0.82% and 4.45% respectively. Serum Cyfra21-1 is a useful and sensitive serum biomarker in discriminating between NSCLC and SCLC. GEP modeling is a promising and excellent tool in diagnosis of lung cancer.

CUGBP1 promotes cell proliferation and suppresses apoptosis via down-regulating C/EBPα in human non-small cell lung cancers

CUGBP1, which is involved in posttranscriptional regulatory networks, may control cell growth, activation and differentiation. Meanwhile, CCAAT/enhancer-binding protein α (C/EBPα) acts as a basic leucine zipper transcription factor which controls differentiation-dependent gene expression and inhibits cell proliferation. To date, very little is known about the association between CUGBP 1 and C/EBPα in regulating cell proliferation and apoptosis in non-small cell lung cancer (NSCLC). CUGBP1 and C/EBPα mRNA expressions were analyzed in NSCLC tumor and adjacent normal tissues, and the relationship in clinicopathological parameters was evaluated. Knockdown of CUGBP1 and C/EBPα regulated by CUGBP1 in NSCLC cell line was identified by real-time PCR and Western blot. The effect of depletion of CUGBP1 was evaluated by MTT assay and Annexin/Propidium Iodide Apoptosis assay. CUGBP1 is highly expressed and expression of C/EBPα is low in NSCLC tissues. The correlation analysis revealed that there was negative correlation between the expression of CUGBP 1 and C/EBPα. Knockdown of CUGBP1 effectively silenced the expression of CUGBP1 and up-regulated C/EBPα. Also, suppression of CUGBP1 inhibits proliferation and induces apoptosis in A549 cells. These observations suggest that the first proof the overexpression of CUGBP1 in NSCLC contributes to tumorigenesis through down-regulation of C/EBPα. Knockdown of CUGBP1 or up-regulation C/EBPα might be a potential therapeutic approach for human non-small cell lung cancers.

Lentivirus-mediated LIGHT overexpression inhibits human colorectal carcinoma cell growth in vitro and in vivo.

Human LIGHT (lymphotoxin-related inducible ligand that competes for glycoprotein D binding to herpesvirus entry mediator on T cells) is the 14th member of the tumor necrosis factor (TNF) superfamily and is therefore also known as TNFSF14. LIGHT has been proven to be a multifunctional molecule affecting cell proliferation, differentiation and a number of other biological processes, in particular, cell growth inhibition. However, the expression and molecular mechanisms of the LIGHT gene in human colorectal carcinoma cells remain largely unclear. In the present study, the LIGHT gene was overexpressed using a lentiviral expression vector in HCT116 human colorectal carcinoma cells in vitro and in vivo, in order to explore the mechanism by which the LIGHT gene inhibits cell growth and suppresses tumor formation. The results showed that the recombinant lentivirus with LIGHT overexpression inhibited the proliferative capacity of the HCT116 cells and significantly decreased the xenografted tumor volumes in nude mice. Furthermore, LIGHT treatment effectively initiated increased caspase-3 and decreased Bcl-2 activities in the HCT116 cells. This study provides a basis for the improved understanding of the role and molecular mechanisms of the LIGHT gene in human colorectal carcinoma cells and may facilitate further functional studies of LIGHT.

Metastatic lymph node ratio and Lauren classification are independent prognostic markers for survival rates of patients with gastric cancer

The long-term prognosis for patients with gastric cancer (GC) following radical resection remains poor. It is important to identify prognostic markers to predict survival. In the present retrospective study, the association between the metastatic lymph node ratio (rN) and the Lauren classification on predicting overall survival (OS) was investigated. Furthermore, a subgroup analysis was performed on the Lauren classification, using rN score as an independent prognostic marker. In total, 261 pathologically confirmed patients with GC were retrospectively reviewed. Kaplan-Meier curves and Coxs proportional hazards modeling were applied to analyze the OS of patients, and were utilized in the subgroup analysis. Receiver operating characteristic (ROC) curves were used to compare the accuracy of prognosis between the rN score and lymph node staging (N stage). The χ2 test was used to analyze the association between the rN score and Lauren classification. Univariate survival and multivariate analysis demonstrated that the rN score and Lauren classification were significant prognostic markers for patients with GC. The ROC analysis confirmed that the rN score was more effective than N staging for OS prediction. Subgroup analysis indicated that rN was more accurate at predicting OS time in patients with diffuse type GC. The rN score and the Lauren classification were independent prognostic factors for the OS of patients with GC following radical resection, and the rN score was more accurate than the N stage for predicting the prognosis. Overall, the rN may be suitable as an independent predictor for OS in patients with diffuse type GC.

miR‑142 suppresses proliferation and induces apoptosis of osteosarcoma cells by upregulating Rb

It has been reported that microRNA-142 (miR-142) is a tumor suppressor gene. The present study primarily investigated whether the overexpression of miR-142 was able to inhibit the proliferation, apoptosis and expression of apoptosis-associated proteins in osteosarcoma (OS) cells. Different concentrations of miR-142 were transfected into the OS MG-63 cell line using Lipofectamine 2000. The cell lines were divided into three groups: Normal group (non-transfected group), miR-142 transfected group, and negative group, which were transfected with random miR-142 fragment. The proliferation of cells was detected by MTT assay. The expression of miR-142 was detected by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). DAPI staining was performed to investigate the influence of miR-142 on the morphology of MG-63c ells. The apoptotic cell percentages were determined by flow cytometry with Annexin V-fluorescein isothiocyanate/propidium iodide double staining. Expression of tumor suppressors, phosphatase and tensin homolog (PTEN) and Retinoblastoma-associated protein (Rb), and apoptosis-associated proteins were evaluated by western blotting. RT-qPCR indicated a higher expression of miR-142 in the transfected group (miR-142 was transfected into the MG-63 cell line) compared with that in the normal (non-transfected group) and negative control groups. The proliferation of miR-142 transfected cells was significantly lower compared with that in the normal and negative groups. Furthermore, an increased apoptosis rate accompanied by a statistically significant upregulation of PTEN, Rb phosphorylation, cleaved caspase-3 and cytochrome c protein levels were detected in the transfected group, indicating an internal apoptosis pathway was involved in this process. Furthermore, no significant changes were identified between the normal and negative groups (P>0.05). The present study demonstrated that miR-142 overexpression by liposomal transfection resulted in an inhibitory effect on MG-63 cell proliferation. The underlying mechanisms may relate to the upregulation of tumor suppressor and activation of caspase signaling pathway, which may provide a novel horizon in short nucleotide drugs on the management of OS.

Efficacy of pEgr‑1‑endostatin combined with ionizing radiation on hypoxic conditions in nude mice bearing SKOV3 ovarian carcinoma

Hypoxia occurs in a wide range of solid tumors, and is strongly associated with radio-resistance of malignant tumors. The aim of the present study was to investigate the effect of endostatin combined with ionizing radiation (IR) on hypoxic conditions. A total of 24 mice bearing SKOV3 ovarian carcinoma were divided into three groups. Following injection with pEgr-1-endostatin plasmid for 12 h, the mice in the endostatin-IR-treated group were exposed to 300 cGy/min X-ray for 48 h, and the IR-treated group was exposed to the same condition. Then, the expression of endostatin, hypoxia-inducible factor (HIF)-1α and vascular endothelial growth factor (VEGF) was detected by reverse transcription-polymerase chain reaction, ELISA, immunohistochemistry and western blotting. In addition, the tumor microvessel density (MVD) was examined by immunohistochemistry analysis of cluster of differentiation 31-positive cells. The results revealed that pEgr-1-endostatin was successfully induced by IR. The level of endostatin messenger RNA in the endostatin-IR-treated group was significantly higher than that in the control and IR-treated groups (F=380.078, P<0.001). Statistical differences were also examined at the protein level by western blotting and ELISA. An obvious increase in MVD was observed in the IR-treated group compared with that in the control group (t=7.040, P<0.001), and a significant decrease in MVD was observed in the endostatin-IR-treated group compared with that in the control group (t=18.153, P<0.001). By comparing the morphology of the tumor vasculature in the three groups, it was noticed that the microvessels in the endostatin-IR-treated group were more regularly distributed and had fewer giant branches than those in the IR-treated group. Further investigation revealed that the expression levels of HIF-1α and VEGF in the endostatin-IR-treated group were lower compared with those in the control (t=5.339, P=0.001; and t=13.880, P<0.001, respectively) and the IR-treated groups (t=12.930, P<0.001; and t=14.050, P<0.001, respectively). Our findings suggested that endostatin decreased the number of microvessels via the HIF-1/VEGF signaling pathway, and that pEgr-1-endostatin combined with IR may improve hypoxic conditions and may be a novel approach for treating solid tumors.