scholarly journals KK-LC-1 May Be An Effective Prognostic Biomarker for Gastric Cancer

2020 ◽  
Author(s):  
Jun Ji ◽  
Jiahui Chen ◽  
Anqiang Wang ◽  
Yang Liu ◽  
Leping Li
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Protein Expression ◽  
Cox Regression ◽  
Statistical Significance ◽  
Good Prognosis ◽  
Chi Square ◽  
S Protein ◽  
Cox Regression Analysis ◽  
Linear Association

Abstract Background: To detect the protein expression of Kitakyushu lung cancer antigen 1 (KK-LC-1) in gastric cancer (GC) specimens, and to analyze the linear association of KK-LC-1 protein expression with clinical pathological data and prognosis.Methods: A total of 94 patients in this study were all GC patients with surgical resection. KK-LC-1’s protein expression in GC tissue was detected by immunohistochemistry. This report applies Histological score (H-score) to evaluate KK-LC-1’s expression. Chi-square test, Kaplan-Meier method and Cox regression were used to analyze the linear association between KK-LC-1 expression and clinicopathological data and prognosis.Results: KK-LC-1’s protein expression in the cytoplasm of tumor tissue was found to be significantly higher than that in normal tissue (P <0.001). If we apply the median value of H-value as the cut-off point, it suggests that overall survival for GC patients with high KK-LC-1 expression levels in the cytoplasm was good (P = 0.016), and still had statistical significance after Cox regression analysis. At the same time, the study found that there was a negative correlation between KK-LC-1’s protein expression and the pathological grade of the tumor (P = 0.036).Conclusions: Our research data shows that KK-LC-1’s expression in GC is higher than that of normal tissues, which is associated with a longer overall survival in GC. KK-LC-1 can be used as a biomarker for GC patients with good prognosis.

scholarly journals KK-LC-1 may be an effective prognostic biomarker for gastric cancer

2020 ◽  
Author(s):  
Jun Ji ◽  
Jiahui Chen ◽  
Anqiang Wang ◽  
Wei Zhang ◽  
Hongge Ju ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Cox Regression ◽  
Staining Intensity ◽  
Good Prognosis ◽  
Clinicopathological Parameters ◽  
Chi Square ◽  
Clinical Prognosis ◽  
Cox Regression Analysis ◽  
Normal Tissues

Abstract Background: To detect the expression of Kita-Kyushu lung cancer antigen-1 (KK-LC-1) in gastric cancer (GC) specimens and analyze the associations between KK-LC-1 expression and clinicopathological parameters and clinical prognosis. Methods: A total of 94 patients with GC who underwent surgical resection were enrolled in this study. The expression of KK-LC-1 in GC tissues was detected by immunohistochemistry. The assessment of KK-LC-1 expression was conducted using the H-scoring system. H-score was calculated by the multiplication of the overall staining intensity with the percentage of positive cells. The expression of KK-LC-1 in the cytoplasm and was scored to achieve respective H-score values. The correlations between KK-LC-1 expression and clinicopathological parameters and clinical prognosis were analyzed using Chi-square test, Kaplan-Meier method and Cox regression. Results: In the cytoplasm, the expression of KK-LC-1 in tumor tissues was significantly higher than that in normal tissues (P < 0.001, respectively). Using the median H-score as the cutoff value, it was discovered that, GC patients with higher levels of KK-LC-1expression in the cytoplasm, had favorable overall survival (P =0.016), and it was still statistically meaningful in Cox regression analysis. At the same time, the study found that there was a negative correlation between KK-LC-1’s protein expression and the pathological grade of the tumor (P = 0.036). Conclusions: Our research data shows that KK-LC-1’s expression in GC is higher than that of normal tissues, which is associated with a longer overall survival in GC. KK-LC-1 can be used as a biomarker for GC patients with good prognosis.

scholarly journals KK-LC-1 may be an effective prognostic biomarker for gastric cancer

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jun Ji ◽  
Jiahui Chen ◽  
Anqiang Wang ◽  
Wei Zhang ◽  
Hongge Ju ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Protein Expression ◽  
Cox Regression ◽  
Staining Intensity ◽  
Good Prognosis ◽  
Clinicopathological Parameters ◽  
Chi Square ◽  
Clinical Prognosis ◽  
Cox Regression Analysis ◽  
Normal Tissues

Abstract Background The objective of the study was to detect the expression of Kita-Kyushu lung cancer antigen-1 (KK-LC-1) in gastric cancer (GC) specimens and analyse the associations between KK-LC-1 expression and clinicopathological parameters and clinical prognosis. Methods All of the 94 patients in this study were GC patients who underwent surgical resection. KK-LC-1 protein expression in GC tissue was detected by immunohistochemistry. This report applies the histological score (H-score) to evaluate KK-LC-1 expression. To calculate this indicator, the number of positive cells in each section and their staining intensity were converted to corresponding values. The expression of KK-LC-1 in the cytoplasm of cancer and normal tissues was scored to obtain their respective H values. The chi-square test, Kaplan-Meier method and Cox regression were used to analyse the linear association between KK-LC-1 expression and clinicopathological data and prognosis. Results In the cytoplasm, KK-LC-1 expression in tumour tissues was significantly higher than that in normal tissues (P < 0.001). Using the median H-score as the cut-off value, we discovered that GC patients with high levels of KK-LC-1 expression in the cytoplasm had favourable overall survival (OS) (P = 0.016), and this result was statistically significant in the Cox regression analysis. Additionally, a negative correlation was found between KK-LC-1 protein expression and the pathological grade of the tumour (P = 0.036), with significantly more KK-LC-1 protein expression observed in the intestinal type of GC than in the diffuse type (P = 0.008). Conclusions Our research data showed that KK-LC-1 expression was greater in GC tissues than in normal tissues, and higher KK-LC-1 expression was associated with longer OS of GC patients. KK-LC-1 can be used as a biomarker for a good prognosis in GC patients.

scholarly journals Identification of the angiogenesis related genes for predicting prognosis of patients with gastric cancer

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sheng Zheng ◽  
Zizhen Zhang ◽  
Ning Ding ◽  
Jiawei Sun ◽  
Yifeng Lin ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
High Efficiency ◽  
Cox Regression ◽  
Risk Group ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
Lasso Regression ◽  
Sequencing Data ◽  
Cox Regression Analysis

Abstract Introduction Angiogenesis is a key factor in promoting tumor growth, invasion and metastasis. In this study we aimed to investigate the prognostic value of angiogenesis-related genes (ARGs) in gastric cancer (GC). Methods mRNA sequencing data with clinical information of GC were downloaded from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. The differentially expressed ARGs between normal and tumor tissues were analyzed by limma package, and then prognosis‑associated genes were screened using Cox regression analysis. Nine angiogenesis genes were identified as crucially related to the overall survival (OS) of patients through least absolute shrinkage and selection operator (LASSO) regression. The prognostic model and corresponding nomograms were establish based on 9 ARGs and verified in in both TCGA and GEO GC cohorts respectively. Results Eighty-five differentially expressed ARGs and their enriched pathways were confirmed. Significant enrichment analysis revealed that ARGs-related signaling pathway genes were highly related to tumor angiogenesis development. Kaplan–Meier analysis revealed that patients in the high-risk group had worse OS rates compared with the low-risk group in training cohort and validation cohort. In addition, RS had a good prognostic effect on GC patients with different clinical features, especially those with advanced GC. Besides, the calibration curves verified fine concordance between the nomogram prediction model and actual observation. Conclusions We developed a nine gene signature related to the angiogenesis that can predict overall survival for GC. It’s assumed to be a valuable prognosis model with high efficiency, providing new perspectives in targeted therapy.

Study of genotypic variations and protein expression of the xCT subunit of cystine/glutamate transporter in pancreatic cancer.

2011 ◽  
Vol 29 (4_suppl) ◽  
pp. 210-210
Author(s):  
T. J. Huang ◽  
D. Li ◽  
Y. Li ◽  
S. P. Kar ◽  
S. Krishnan ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Overall Survival ◽  
Protein Expression ◽  
Cox Regression ◽  
Performance Status ◽  
Glutamate Transporter ◽  
Supporting Evidence ◽  
Cox Regression Analysis ◽  
Risk Of Death ◽  
Increased Risk

210 Background: The plasma membrane xCT cystine-specific subunit of the cystine/glutamate transporter contributes to chemotherapy resistance in pancreatic cancer by regulating intracellular glutathione levels and protecting cancer cells against oxidative stress. We previously noted that the rs7674870 single nucleotide polymorphism (SNP) of xCT correlated with overall survival in pancreatic cancer and may be predictive of platinum resistance. There are no data regarding xCT protein expression in pancreatic cancer or the functional significance of this SNP. Methods: Paraffin-embedded core and surgical biopsy tumor specimens from 49 patients with metastatic pancreatic adenocarcinoma were analyzed by immunohistochemistry (IHC) using an xCT specific antibody (Novus Biologicals). xCT protein IHC expression scores (product of intensity and percentage of staining cells) were analyzed in relation to overall survival and genotype of the patients using the one factor ANOVA test, Kaplan-Meier plot, log-rank test, and Cox regression analysis. Overall survival was measured from the date of diagnosis to the date of death or last follow-up. Results: Positive xCT expression was detected in 38 (78%) of the 49 samples, and 9 (18%) patients had high levels of expression. High xCT expression was associated with lower overall survival as compared with low expression (5.1 months versus 8.8 months; p = 0.119). In a multivariate Cox regression model with adjustment for prognostic parameters of age, sex, performance status and CA19-9 level, high xCT expression was associated with a 2.1-fold increased risk of death (p = 0.096). Performance status also correlated with overall survival (p = 0.027). Preliminary analysis on the genotype-phenotype association (n = 12) indicated that xCT expression was higher with the TT genotype than the TC/CC genotype (p = 0.115), which is consistent with the previous observation that the TT genotype was associated with reduced survival. Conclusions: These data provide supporting evidence for a possible role of cystine/glutamate transporter xCT subunit in pancreatic cancer progression and survival. Further pharmacogenomic and clinicopathologic studies are ongoing. No significant financial relationships to disclose.

scholarly journals Integrated Analysis of lncRNA-Associated ceRNA Network Identifies Two lncRNA Signatures as a Prognostic Biomarker in Gastric Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Shuyan Zhang ◽  
Shanshan Li ◽  
Jian-Lin Guo ◽  
Ningyi Li ◽  
Cai-Ning Zhang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Proportional Hazards ◽  
Cox Regression ◽  
Cox Proportional Hazards ◽  
Integrated Analysis ◽  
Survival Prediction ◽  
Survival Prognosis ◽  
Cox Regression Analysis ◽  
Cerna Network

Background. Gastric cancer (GC) is a malignant tumour that originates in the gastric mucosal epithelium and is associated with high mortality rates worldwide. Long noncoding RNAs (lncRNAs) have been identified to play an important role in the development of various tumours, including GC. Yet, lncRNA biomarkers in a competing endogenous RNA network (ceRNA network) that are used to predict survival prognosis remain lacking. The aim of this study was to construct a ceRNA network and identify the lncRNA signature as prognostic factors for survival prediction. Methods. The lncRNAs with overall survival significance were used to construct the ceRNA network. Function enrichment, protein-protein interaction, and cluster analysis were performed for dysregulated mRNAs. Multivariate Cox proportional hazards regression was performed to screen the potential prognostic lncRNAs. RT-qPCR was used to measure the relative expression levels of lncRNAs in cell lines. CCK8 assay was used to assess the proliferation of GC cells transfected with sh-lncRNAs. Results. Differentially expressed genes were identified including 585 lncRNAs, 144 miRNAs, and 2794 mRNAs. The ceRNA network was constructed using 35 DElncRNAs associated with overall survival of GC patients. Functional analysis revealed that these dysregulated mRNAs were enriched in cancer-related pathways, including TGF-beta, Rap 1, calcium, and the cGMP-PKG signalling pathway. A multivariate Cox regression analysis and cumulative risk score suggested that two of those lncRNAs (LINC01644 and LINC01697) had significant prognostic value. Furthermore, the results indicate that LINC01644 and LINC01697 were upregulated in GC cells. Knockdown of LINC01644 or LINC01697 suppressed the proliferation of GC cells. Conclusions. The authors identified 2-lncRNA signature in ceRNA regulatory network as prognostic biomarkers for the prediction of GC patient survival and revealed that silencing LINC01644 or LINC01697 inhibited the proliferation of GC cells.

scholarly journals TBL1XR1 Is Highly Expressed in Gastric Cancer and Predicts Poor Prognosis

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Fang Liu ◽  
Yuan He ◽  
Qinghua Cao ◽  
Ni Liu ◽  
Wenhui Zhang
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Lymph Node ◽  
Cox Regression ◽  
Biological Significance ◽  
High Expression ◽  
Human Gastric Cancer ◽  
Mrna Levels ◽  
Poor Overall Survival ◽  
Cox Regression Analysis

Objective. To investigate the expression of transducin- (β-) like 1 X-linked receptor 1 (TBL1XR1) in human gastric cancer (GC) and its correlation with prognostic and biologic significance.Methods. TBL1XR1 mRNA expression was analyzed in gastric cancer using a microarray dataset (GSE2701) from the Gene Expression Omnibus (GEO). Immunohistochemistry (IHC) analysis of TBL1XR1 was performed on GC tissue microarray (TMA) to assess its prognostic and biological significance in 334 patients of GC.Results. Analysis of GSE2701 showed that the mRNA levels of TBL1XR1 were significantly elevated in primary gastric tumor and lymph node tissues than normal gastric tissues (P<0.05). The same results of TBL1XR1 protein level were observed by IHC staining in 334 GC tissues. 204 of 334 (60.1%) primary gastric cancer tissues showed high expression of TBL1XR1 protein. TBL1XR1 overexpression was significantly correlated with lymph node metastasis (P=0.000) and advanced TNM stage (P=0.001). Moreover, high levels of TBL1XR1 predicted worse overall survival (P=0.015). Multivariate Cox regression analysis indicated that high expression of TBL1XR1 was an independent prognostic factor for poor overall survival (HR, 0.525; 95% confidence interval, 0.367–0.752;P=0.005).Conclusion. This present study demonstrates that TBL1XR1 is overexpressed in gastric cancer and may be a potential predictor and therapeutic target for GC patients.

scholarly journals Rebound Thrombocytosis following Induction Chemotherapy Is an Independent Predictor of a Good Prognosis in Acute Myeloid Leukemia Patients Attaining First Complete Remission

2015 ◽  
Vol 134 (1) ◽  
pp. 32-37 ◽  
Author(s):  
Umit Yavuz Malkan ◽  
Gursel Gunes ◽  
Ayse Isik ◽  
Eylem Eliacik ◽  
Sezgin Etgul ◽  
...  
Keyword(s):  
Acute Myeloid Leukemia ◽  
Myeloid Leukemia ◽  
Recovery Time ◽  
Cox Regression ◽  
De Novo ◽  
Statistical Significance ◽  
Good Prognosis ◽  
Platelet Recovery ◽  
Cox Regression Analysis ◽  
Acute Myeloid

There are very few data about the relationship between acute myeloid leukemia (AML) prognosis and bone marrow recovery kinetics following chemotherapy. In this study, we aimed to assess the prognostic importance and clinical associations of neutrophil and platelet recovery rates and rebound thrombocytosis (RT) or neutrophilia (RN) in the postchemotherapy period for newly diagnosed AML patients. De novo AML patients diagnosed between October 2002 and December 2013 were evaluated retrospectively. One hundred patients were suitable for inclusion. Cox regression analysis using need for reinduction chemotherapy as a stratification parameter revealed RT as the only parameter predictive of OS, with borderline statistical significance (p = 0.06, OR = 7; 95% CI 0.92-53), and it was the only parameter predictive of DFS (p = 0.024, OR = 10; 95% CI 1.3-75). In order to understand whether RT or RN was related to a better marrow capacity or late consolidation, we considered neutrophil recovery time and platelet recovery time and nadir-first consolidation durations in all patients in the cohort. Both the marrow recovery duration and the time between marrow aplasia and first consolidation were shorter in RT and RN patients. To our knowledge, this is the first study to report a correlation between RT/RN and prognosis in AML.

scholarly journals Transcription Elongation Factor A-like 7 is a Stemness-Related Prognostic Factor in Gastric Cancer

2021 ◽  
Author(s):  
Haisheng Qian ◽  
Xin Gao ◽  
Rui Ma ◽  
Wenjie Li ◽  
Zhen Yang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Regression Analysis ◽  
Cox Regression ◽  
Learning Algorithm ◽  
Cox Regression Analysis ◽  
Normal Tissues ◽  
Significant Difference ◽  
Selection Operator ◽  
Level Group

Abstract Background: Stemness is described as the potential for self-renewal and differentiation from the cell-of-origin. A previous study calculated the mRNA expression-based stemness index (mRNAsi) based on a one-class logistic regression machine learning algorithm for describing stemness features of cancer. We aim to identify stemness-related prognostic genes in gastric cancer (GC) based on mRNAsi using bioinformatics analysis.Methods: The WGCNA analysis was performed to find the relevant gene modules to mRNAsi. Gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathways annotation analysis were performed on genes in blue module. The overall survival analysis, univariate Cox regression analysis and the least absolute shrinkage and selection operator (LASSO) regression model were used to identify prognostic genes highly associated with survival. The multivariate Cox regression analysis was performed to analysis prognostic factors. The nomogram was constructed according to the result of multivariate analysis. qPCR, Western Blot and IHC staining were appliedResults: The mRNAsi of tumors is higher than normal tissues, and there was a significant difference in overall survival (OS) between the high and low mRNAsi GC groups. TCEAL7 was selected to be the key gene associated with mRNAsi and prognosis according to the result of least absolute shrinkage and selection operator (LASSO) Cox regression. The expression level of TCEAL7 was lower in tumors than in normal tissues, but high TCEAL7 level group showed a worse OS than low TCEAL7 level group in GC. Based on the result of multivariable Cox regression analysis which including TCEAL7 and clinical characteristics, a nomogram for predicting GC 1-, 3-, and 5-year survival was established. The C-index and the AUC (Area Under Curve) of the model indicated that the model has a good discrimination ability. Additionally, the calibration curves of 3- and 5-year OS rates showed the model fits well. The experimental validation of the expression of TCEAL7 in GC and normal tissues were consistent with the above.Conclusions: In summary, we verified mRNAsi was associated with the prognosis of GC patients. And TCEAL7 was finally identified as the key gene correlated with stemness features and prognosis in GC.

scholarly journals Clusterin role in hepatocellular carcinoma patients treated with oxaliplatin

2020 ◽  
Vol 40 (2) ◽  
Author(s):  
Xiumei Wang ◽  
Yongqiang Liu ◽  
Qiong Qin ◽  
Ti Zheng
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Prognostic Value ◽  
Cox Regression ◽  
Poor Response ◽  
Prognostic Indicator ◽  
Tumor Stage ◽  
Chi Square ◽  
Tissue Samples ◽  
Cox Regression Analysis

Abstract Aim: To explore the prognostic value of clusterin (CLU) in hepatocellular carcinoma (HCC) patients treated with oxaliplatin (OXA). Methods: Relative expression of plasma CLU mRNA was examined via fluorescence quantitative real-time PCR (qRT-PCR), and CLU protein level in tissue samples was detected through immunohistochemistry. Chi-square test was used to analyze the relationship between CLU mRNA expression and clinical features of HCC patients treated with OXA. Kaplan–Meier method was performed to assess overall survival for the patients, and prognostic value of CLU in HCC patients was estimated via Cox regression analysis. Results: CLU expression in plasma and tissue specimens was significantly higher among HCC patients than in non-malignant controls (P &lt; 0.001 for both). Moreover, elevated CLU mRNA was closely related to tumor stage, lymph node metastasis and response to OXA (P &lt; 0.05). HCC patients with high CLU expression showed poor response to OXA. In addition, low CLU levels predicted long overall survival time among the study subjects (20.8 vs. 36.6 months, P &lt; 0.001). CLU was an independent prognostic indicator for HCC patients treated with OXA (HR = 2.587, 95%CI = 1.749–3.828, P &lt; 0.001). Conclusion: CLU may be a novel prognostic marker for HCC patients treated with OXA.

scholarly journals The relationship between RECK Gene Polymorphisms and the prognosis of cholangiocarcinoma

2020 ◽  
Author(s):  
Ning Wang ◽  
Yanni Li ◽  
Yanfang Zheng ◽  
Huoming Chen ◽  
Xiaolong Wen ◽  
...  
Keyword(s):  
Overall Survival ◽  
Survival Rate ◽  
Cox Regression ◽  
Univariate Analysis ◽  
Overall Survival Rate ◽  
Chi Square ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Chi Square Test ◽  
The Relationship

Abstract Background The study was designed to examine the reversion inducing cysteine rich protein with Kazal motifs (RECK) levels in patients with cholangiocarcinoma (CCA) and assess its role in CCA prognosis. Methods Quantitative real-time PCR (qRT-PCR) was used to determine the expression of RECK mRNA in 127 pairs of CCA samples and controls. Chi-square test was conducted to analyze the effects of clinical features on RECK expression. Kaplan-Meier curves were plotted to determine the overall survival rate of CCA patients with different RECK expression. The prognostic biomarkers for CCA patients were identified using the Cox regression analysis. Results Significantly down-regulated expression of RECK mRNA was determined in CCA tissues compared to noncancerous controls (P < 0.05). Chi-square test suggested reduced RECK expression was related with invasion depth (P = 0.026), differentiation (P = 0.025), lymphatic metastasis (P = 0.010) and TNM stage (P = 0.015). However, age, sex, tumor size and family history had no significant links with RECK expression (all, P > 0.05). The survival curves showed that patients with low RECK expression had a shorter overall survival rate than those with high RECK expression. Both the univariate analysis (P = 0.000, HR = 5.290, 95%CI = 3.195–8.758) and multivariate analysis (P = 0.000, HR = 5.376, 95%CI = 2.231–8.946) demonstrated that RECK was an independent biomarker for predicting the outcomes of CCA patients. Conclusions Taken together, the expression of RECK was down-regulated in CCA and it might be an efficient biomarker for CCA patients.

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