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

2021 ◽  
Author(s):  
Jun Ji ◽  
Jiahui Chen ◽  
Anqiang Wang ◽  
Wei Zhang ◽  
Hongge Ju ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Cox Regression ◽  
Staining Intensity ◽  
Intestinal Type ◽  
Clinicopathological Parameters ◽  
Diffuse Type ◽  
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); KK-LC-1 protein is more highly expressed in the intestinal type than the diffuse type, and it is statistically significant. The high expression of KK-LC-1 protein in the intestinal type is more than that in the diffuse type (P =0.008). 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 ◽  
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 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 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.

scholarly journals Suppression of p53-inducible gene 3 is significant for glioblastoma progression and predicts poor patient prognosis

Tumor Biology ◽  
2017 ◽  
Vol 39 (3) ◽  
pp. 101042831769457 ◽  
Author(s):  
Jishu Quan ◽  
Yong Li ◽  
Meihua Jin ◽  
Dunfu Chen ◽  
Xuezhe Yin ◽  
...  
Keyword(s):  
Cox Regression ◽  
Good Prognosis ◽  
World Health ◽  
Loss Of Function ◽  
Cox Regression Analysis ◽  
Normal Tissues ◽  
Health Organization ◽  
Proliferation And Invasion ◽  
Inducible Gene

Glioblastoma is the most malignant and invasive brain tumor with extremely poor prognosis. p53-inducible gene 3, a downstream molecule of the tumor suppressor p53, has been found involved in apoptosis and oxidative stress response. However, the functions of p53-inducible gene 3(PIG3) in cancer are far from clear including glioblastoma. In this study, we found that p53-inducible gene 3 expression was suppressed in glioblastoma tissues compared with normal tissues. And the expression of p53-inducible gene 3 was significantly associated with the World Health Organization grade. Patients with high p53-inducible gene 3 expression have a significantly longer median survival time (15 months) than those with low p53-inducible gene 3 expression (8 months). According to Cox regression analysis, p53-inducible gene 3 was an independent prognostic factor with multivariate hazard ratio of 0.578 (95% confidence interval, 0.352–0.947; p = 0.030) for overall survival. Additionally, gain and loss of function experiments showed that knockdown of p53-inducible gene 3 significantly increased the proliferation and invasion ability of glioblastoma cells while overexpression of p53-inducible gene 3 inhibited the proliferation and invasion ability. The results of in vivo glioblastoma models further confirmed that p53-inducible gene 3 suppression promoted glioblastoma progression. Altogether, our data suggest that high expression of p53-inducible gene 3 is significant for glioblastoma inhibition and p53-inducible gene 3 independently indicates good prognosis in patients, which might be a novel prognostic biomarker or potential therapeutic target in glioblastoma.

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.

The association of miR-138 variants with the prognosis of cervical cancer

2020 ◽  
Author(s):  
Shuangqing Cao ◽  
Lei Zheng
Keyword(s):  
Cervical Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Cox Regression ◽  
Critical Role ◽  
Expression Level ◽  
Poor Overall Survival ◽  
Cox Regression Analysis ◽  
Normal Tissues ◽  
Kaplan Meier

Abstract Background MicroRNA-138 (miR-138) is shown to inhibit tumor growth and played a critical role in tumor pathogenesis, the present study aimed to investigate the prognistic value of miR-138 in cervical cancer. Methods Quantitative real-time polymerase chain reaction (qRT-PCR) assay was used to detect the expression of miR-138 in the tissues of cervical cancer and adjacent normal tissues. The association of miR-138 expression with clinical characteristic was analyzed via χ2 test. Then Kaplan-Meier analysis was performed to analyze the association of miR-138 expression with the overall survival of cervical cancer patients. The multivariate cox analysis was used to evaluate the prognostic value of miR-138. Results In the current study, we found the expression level of miR-138 was significantly downregulated in the most cervical cancer patients tissues compared with that in the adjacent normal tissues (P < 0.001). And its expression was closely affected by TNM stage (P = 0.043), lymph node metastasis (P = 0.011) and FIGO stage (P = 0.002). Kaplan-Meier analysis result showed that the decreased expression level of miR-138 expression was associated with poor overall survival of patients. The cox regression analysis result indicated that miR-138 expression was independently associated with the overall survival. Conclusions The expression of miR-138 is down-regulated and involved in the development of cervical cancer. Moreover, it may serve as a prognostic marker for patients with cervical cancer.

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 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.

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