scholarly journals KIF20A Predicts Poor Survival of Patients and Promotes Colorectal Cancer Tumor Progression through the JAK/STAT3 Signaling Pathway

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Qi Zhang ◽  
Jun Di ◽  
Zhiyu Ji ◽  
Aoning Mi ◽  
Quanying Li ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Tumor Progression ◽  
Cox Regression ◽  
Critical Role ◽  
Depth Of Invasion ◽  
Cox Regression Analysis ◽  
Normal Tissues ◽  
Reduce Cell Proliferation ◽  
Cancer Tumor ◽  
And Migration

Kinesin family member 20A (KIF20A) has been recently reported to be upregulated and associated with increased invasiveness and metastasis in several malignancies. However, the role of KIF20A in colorectal cancer (CRC) is still unclear. This study is aimed at investigating the potential roles of KIF20A in the development of CRC. The results of bioinformatics analysis, immunohistochemical staining, and Western blot analysis showed that KIF20A was overexpressed in CRC tissues compared with adjacent normal tissues. High expression of KIF20A in CRC tissues was associated with depth of invasion, lymphatic node metastasis, distant metastasis, and TNM stage. Moreover, the Kaplan-Meier survival analysis showed that CRC patients with high KIF20A expression had poor prognoses. Cox regression analysis revealed that KIF20A was an independent prognostic factor in patients with CRC. Further studies suggested that knockdown of KIF20A was able to reduce cell proliferation and migration by inhibiting the JAK/STAT3 pathway. Taken together, we propose that KIF20A plays a critical role in the tumorigenesis and tumor progression of colorectal cancer and could represent a potential therapeutic target for CRC.

Long Noncoding RNAZEB1-AS1 Expression Predicts Progression and Poor Prognosis of Colorectal Cancer

2017 ◽  
Vol 32 (4) ◽  
pp. 428-433 ◽  
Author(s):  
Jining Fu ◽  
Yongyuan Cui
Keyword(s):  
Colorectal Cancer ◽  
Poor Prognosis ◽  
Cox Regression ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Depth Of Invasion ◽  
Cox Regression Analysis ◽  
Lower Survival Rate ◽  
Differentiation Degree ◽  
Diagnostic Sensitivity And Specificity

Background ZEB1-AS1 acts as an oncogene in hepatocellular carcinoma, accelerating tumor growth and promoting metastasis. However, its roles in colorectal cancer (CRC) remain unclear. Methods In this study, we determined the expression of ZEB1-AS1 in CRC tissues by quantitative real-time polymerase chain reaction (qRT-PCR). Additionally, we investigated the relationship between various clinicopathological features of CRC patients and ZEB1-AS1 expression, and evaluated the diagnostic and prognostic value of ZEB1-AS1 in CRC. Results We found that ZEB1-AS1 expression was significantly higher in CRC tissues than in adjacent normal colorectal tissues. Moreover, its expression was significantly correlated with tumor size, differentiation degree, TNM grade, metastasis, depth of invasion and Dukes' classification, but not with sex, age, location and organization. In addition, at the optimal cutoff value of 2.340, the values of diagnostic sensitivity and specificity amounted to 63.0% and 90.7%, respectively, with an area under the curve (AUC) of 0.846 (95% CI, 0.797-0.895). Finally, CRC patients of the high ZEB1-AS1 expression group had a poorer prognosis and a significantly lower survival rate than those of the low expression group, and Cox regression analysis indicated that ZEB1-AS1 expression and metastasis were independent predictors of poor prognosis. Conclusions Our data suggest that ZEB1-AS1 has no obvious early diagnostic value, but it may be utilized as a new prognostic biomarker for CRC.

scholarly journals The expression of long-chain non-coding RNA DMTF1v4 in colorectal cancer tissue and its relationship with clinicopathological features

2019 ◽  
Vol 17 ◽  
pp. 205873921984554
Author(s):  
Yanjuan Cai ◽  
Shutong Zhuang ◽  
Hongpeng Liu ◽  
Jianfu Qiu ◽  
Li Zeng
Keyword(s):  
Colorectal Cancer ◽  
Regression Analysis ◽  
Distant Metastasis ◽  
Cox Regression ◽  
Cancer Tissue ◽  
Depth Of Invasion ◽  
Cox Regression Analysis ◽  
Node Metastasis ◽  
Non Coding Rna ◽  
Long Chain

Emerging studies have showed that long-chain non-coding RNA DMTF1v4 might participate in the process of multidrug resistance phenotype of gastric cancer. However, its expression and function in colorectal cancer (CRC) is still unknown. In this study, we discovered that DMTF1v4 was generally 5.15 ± 1.67 times upregulated in CRC tissues compared to the adjacent normal tissues. Moreover, the expression level of DMTF1v4 was closely related to the distant metastasis of tumor, but it was not related to age, sex, tumor location, tumor staging, depth of invasion, lymph node metastasis, and differentiation level. Survival analysis showed that the overall survival rate of patients with high expression of DMTF1v4 was 45.0% in cancer tissues, which was significantly lower than 82.5% of DMTF1v4 low expression patients (χ2 = 11.562, P < 0.01). The results of univariate COX regression analysis showed that DMTF1v4, TNM (tumor, node, metastasis) staging, distant metastasis, and tumor differentiation were closely related to the prognosis of patients ( P < 0.05). Multivariate COX regression analysis showed that DMTF1v4 and distant metastasis could be independent prognostic factors for CRC patients. In conclusion, this study revealed that DMTF1v4 might promote the development of CRC, which can be used as an independent factor to judge the prognosis of CRC.

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 CILP2 overexpression correlates with tumor progression and poor prognosis in patients with colorectal cancer in The Cancer Genome Atlas (TCGA) study

2020 ◽  
Author(s):  
Feng Huang ◽  
Yuanfei Peng ◽  
Qing Ye ◽  
Jinhu Chen ◽  
Yangming Li ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Poor Prognosis ◽  
Cox Regression ◽  
Clinical Stage ◽  
Genetic Alterations ◽  
Rank Test ◽  
Cox Regression Analysis ◽  
Normal Tissues ◽  
Log Rank Test ◽  
Bioinformatical Analysis

Abstract Background: Genetic alterations play an important role in the progression of colorectal cancer (CRC). Identifying new biomarkers to assess the prognosis of patients with CRC is critical. Cartilage Intermediate Layer Protein 2 (CILP2) gene, screened from the TCGA database by bioinformatics, may be closely related to the progression of CRC. CILP2 was barely reported with clinical features of tumors.Materials and methods: Clinical information and RNA-seq data were derived from the TCGA colorectal carcinoma cohort. CILP2 expression at mRNA level was estimated by bioinformatical analysis of TCGA cases. Tissue microarray (TMA) was constructed containing paraffin-embedded 64 pairs of CRC and matched adjacent normal tissues. The expression at the protein level was detected in 64 pairs of CRC and matched adjacent normal tissues by immunohistochemical analysis. CILP2 expression level and its clinical value were estimated by bioinformatical analysis with linear and logistic regression. Survival analysis was performed between high and low groups of CILP2 expression by Cox regression analysis, and the P-value was calculated by the log-rank test. Kaplan-Meier curves were tested by the log-rank test.Results: CILP2 was statistically significantly higher expressed in the CRC tissues when compared with paired adjacent normal tissues in the TCGA cohort (P<0.001) and in the TMA cohort (P=0.001). Also, CILP2 high-expression was strongly correlated with T3/4 stage (P=0.001), N1/2/3 stage (P=0.005), M1 stage (P=0.048), and higher clinical stage (UICC 2010 stage) (P<0.001) in TCGA cohort, and also positively associated with T3/4 stage (P=0.022) and higher clinical stage (UICC 2010 stage) (P=0.03) in TMA cohort. Furthermore, CILP2 overexpression predicted poor prognosis and could be as an independent prognostic factor (P=0.003).Conclusion: We revealed that CILP2 is associated with advanced stages and could play a role as an independent predictor of poor survival in CRC.

scholarly journals The relationship between miR-219-5p Gene Polymorphisms and the prognosis of colorectal cancer

2020 ◽  
Author(s):  
Yang Yan ◽  
Xiaohui Du ◽  
Shaoyou Xia ◽  
Songyan Li ◽  
Da Teng ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Regression Analysis ◽  
Prognostic Value ◽  
Cox Regression ◽  
Malignant Tumors ◽  
Survival Rates ◽  
Tnm Staging ◽  
Cox Regression Analysis ◽  
Normal Tissues ◽  
Kaplan Meier

Abstract Background Colorectal cancer (CRC) is one of the most common malignant tumors, its morbidity and mortality are increasing year by year, it is a serious threat to people's health. Some studies have reported that miR-219-5p acts as a tumor suppressor in some malignant tumors. So the purpose of this study was to investigate the prognostic value of miR-219-5p expression in CRC patients. Methods QRT-PCR was used to detect the expression levels of miR-219-5p in CRC tissues and corresponding normal tissues (P < 0.001). The prognostic value of miR-219-5p in CRC was analyzed by Kaplan-Meier and Cox regression analysis. Results The results indicated that the expression of miR-219-5p was significantly lower in CRC tissues, and its expression was closely correlated with tumor differentiation, TNM staging and lymph node metastasis (all P < 0.05). Moreover, Kaplan Meier survival analysis showed that the patients with low expression of miR-219-5p had worse overall survival rates (P < 0.05). Cox regression analysis further demonstrated that miR-219-5p expression was an independent prognostic factor for survival time in CRC patients (P = 0.018, HR = 2.026 and 95%CI: 1.127–3.643). Conclusions All the results suggest that miR-219-5p expression can be used as a potential prognostic biomarker for CRC patients.

scholarly journals CILP2 overexpression correlates with tumor progression and poor prognosis in patients with colorectal cancer in The Cancer Genome Atlas (TCGA) study

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Feng Huang ◽  
Yuanfei Peng ◽  
Qing Ye ◽  
Jinhu Chen ◽  
Yangming Li ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Poor Prognosis ◽  
Cox Regression ◽  
Clinical Stage ◽  
Genetic Alterations ◽  
Rank Test ◽  
Cox Regression Analysis ◽  
Normal Tissues ◽  
Log Rank Test ◽  
Bioinformatical Analysis

Abstract Background Genetic alterations play an important role in the progression of colorectal cancer (CRC). Identifying new biomarkers to assess the prognosis of patients with CRC is critical. Cartilage intermediate layer protein 2 (CILP2) gene, screened from TCGA database by bioinformatics, may be closely related to the progression of CRC. CILP2 was barely reported with clinical features of tumors. Materials and methods Clinical information and RNA-seq data were derived from TCGA colorectal carcinoma cohort. CILP2 expression at mRNA level was estimated by bioinformatical analysis of TCGA cases. Tissue microarray (TMA) was constructed containing paraffin-embedded 64 pairs of CRC and matched adjacent normal tissues. The expression at the protein level was detected in 64 pairs of CRC and matched adjacent normal tissues by immunohistochemical analysis. CILP2 expression level and its clinical value were estimated by bioinformatical analysis with linear and logistic regression. Survival analysis was performed between high and low groups of CILP2 expression by Cox regression analysis, and the P value was calculated by the log-rank test. The Kaplan-Meier curves were tested by the log-rank test. Results CILP2 was statistically significantly higher expressed in the CRC tissues when compared with paired adjacent normal tissues in TCGA cohort (P < 0.001) and in the TMA cohort (P = 0.001). Also, CILP2 high expression was strongly correlated with T3/4 stage (P = 0.001), N1/2/3 stage (P = 0.005), M1 stage (P = 0.048), and higher clinical stage (UICC 2010 stage) (P < 0.001) in TCGA cohort, and also positively associated with T3/4 stage (P = 0.022) and higher clinical stage (UICC 2010 stage) (P = 0.03) in TMA cohort. Furthermore, CILP2 overexpression predicted poor prognosis and could be an independent prognostic factor (P = 0.003). Conclusion We revealed that CILP2 is associated with advanced stages and could play a role as an independent predictor of poor survival in CRC.

scholarly journals High Expression of RARβ Is a Favorable Factor in Colorectal Cancer

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Wei Wang ◽  
Shuang Liu ◽  
Chunyi Jiang ◽  
Yan Wang ◽  
Huijun Zhu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Progression ◽  
Cox Regression ◽  
Human Cancer ◽  
Critical Role ◽  
Tumor Stage ◽  
High Expression ◽  
Clinicopathological Parameters ◽  
Cox Regression Analysis ◽  
Kaplan Meier

RARβ plays a critical role in cancer progression and is associated with several types of human cancer. It remains unclear, however, whether it is linked to the clinicopathological parameters of colorectal cancer (CRC). We therefore determined the expression of RARβ protein in patients with primary CRC and examined its relationship with clinical outcomes. RARβ expression in 234 samples of CRC patients and matched benign noncancerous tumors was detected by immunohistochemistry. RARβ mRNA expression was confirmed using the TCGA and Oncomine databases. COX regression analysis and Kaplan–Meier survival analysis were performed to determine the relationship between RARβ expression and CRC prognosis. Our results show that high expression of RARβ correlated with better prognosis in CRC patients. RARβ expression in CRC specimens was clearly lower than in peritumoral specimens (30.8% vs 58.8%, p<0.001) and significantly correlated with gender (χ2=3.926, p=0.048), tumor differentiation (χ2=5.978, p=0.014), and tumor stage (χ2=6.642, p=0.036). Multivariate analyses further revealed that low RARβ expression (p=0.001), distant metastasis (p=0.001), tissue differentiation (p=0.006), and tumor stage (p=0.002) were associated with overall survival in CRC patients. In addition, Kaplan–Meier analysis indicated that increased RARβ expression in cytoplasm (p=0.001) and early tumor TNM stage (p=0.030) was associated with a more favorable outcome in patients with CRC. In conclusion, RARβ expression was strongly correlated with several clinicopathological factors of CRC and may represent a favorable prognostic marker in patients with CRC.

scholarly journals CILP2 overexpression predicts poor prognosis in colorectal cancer

2020 ◽  
Author(s):  
Feng Huang ◽  
Yuanfei Peng ◽  
Qing Ye ◽  
Jinhu Chen ◽  
Yangming Li ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Poor Prognosis ◽  
Cox Regression ◽  
Clinical Stage ◽  
Mrna Level ◽  
Rank Test ◽  
Cox Regression Analysis ◽  
Normal Tissues ◽  
Log Rank Test ◽  
Bioinformatical Analysis

Abstract Background Cartilage Intermediate Layer Protein 2 (CILP2), a glycoprotein with mutations associated with abnormal blood lipid concentrations in normal and cardiovascular diseases patients, was barely reported with clinical features of tumors. We evaluated the role of CILP2 among all stages and histology in colorectal cancer (CRC) in the Cancer Genome Altas (TCGA), and furtherly verified using immunohistochemistry assay within human CRC tissues. Materials and methods Clinical information and RNA-seq data were derived from TCGA colorectal carcinoma cohort. CILP2 expression at mRNA level was estimated by bioinformatical analysis of TCGA cases. Tissue microarray (TMA) was constructed containing paraffin-embedded 64 pairs of CRC and matched adjacent normal tissues. The expression at protein level was detected in 64 pairs of CRC and matched adjacent normal tissues by immunohistochemical analysis. CILP2 expression level and its clinical value were estimated by bioinformatical analysis with linear and logistic regression. Survival analysis was performed between high and low groups of CILP2 expression by Cox regression analysis, and P value was calculated by log-rank test. Kaplan-Meier curves were tested by log-rank test. Results CILP2 was significantly higher expressed in the colorectal cancer tissues when compared with paired adjacent normal tissues in TCGA cohort (P < 0.001) and in TMA cohort (P = 0.001). In addition, CILP2 high-expression was strongly correlated with T3/4 stage (P = 0.001), N1/2/3 stage (P = 0.005), M1 stage (P = 0.048), and higher clinical stage (UICC 2010 stage) (P < 0.001) in TCGA cohort, and also positively associated with T3/4 stage (P = 0.022) and higher clinical stage (UICC 2010 stage) (P = 0.03) in TMA cohort. Furthermore, CILP2 overexpression predicted poor prognosis and could be as an independent prognostic factor (P = 0.003). Conclusion We revealed that CILP2 is associated with advanced stages and could play a role as an independent predictor of poor survival in colorectal cancer.

scholarly journals CILP2 overexpression correlates with tumor progression and predicts poor outcome in patients with colorectal cancer

2020 ◽  
Author(s):  
Feng Huang ◽  
Yuanfei Peng ◽  
Qing Ye ◽  
Jinhu Chen ◽  
Yangming Li ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cox Regression ◽  
Clinical Stage ◽  
Mrna Level ◽  
Genetic Alterations ◽  
Rank Test ◽  
Cox Regression Analysis ◽  
Normal Tissues ◽  
Log Rank Test ◽  
Bioinformatical Analysis

Abstract Background: Genetic alterations play an important role in the progression of colorectal cancer (CRC). Identifying new biomarkers to assess the prognosis of patients with colorectal cancer is critical. Cartilage Intermediate Layer Protein 2 (CILP2) gene, screened from the TCGA database by bioinformatics, may be closely related to the progression of colorectal cancer. CILP2 was barely reported with clinical features of tumors.Materials and methods: Clinical information and RNA-seq data were derived from the TCGA colorectal carcinoma cohort. CILP2 expression at mRNA level was estimated by bioinformatical analysis of TCGA cases. Tissue microarray (TMA) was constructed containing paraffin-embedded 64 pairs of CRC and matched adjacent normal tissues. The expression at the protein level was detected in 64 pairs of CRC and matched adjacent normal tissues by immunohistochemical analysis. CILP2 expression level and its clinical value were estimated by bioinformatical analysis with linear and logistic regression. Survival analysis was performed between high and low groups of CILP2 expression by Cox regression analysis, and the P-value was calculated by the log-rank test. Kaplan-Meier curves were tested by the log-rank test. Results: CILP2 was statistically significant higher expressed in the colorectal cancer tissues when compared with paired adjacent normal tissues in the TCGA cohort (P<0.001) and in the TMA cohort (P=0.001). Also, CILP2 high-expression was strongly correlated with T3/4 stage (P=0.001), N1/2/3 stage (P=0.005), M1 stage (P=0.048), and higher clinical stage (UICC 2010 stage) (P<0.001) in TCGA cohort, and also positively associated with T3/4 stage (P=0.022) and higher clinical stage (UICC 2010 stage) (P=0.03) in TMA cohort. Furthermore, CILP2 overexpression predicted poor prognosis and could be as an independent prognostic factor (P=0.003).Conclusion: We revealed that CILP2 is associated with advanced stages and could play a role as an independent predictor of poor survival in colorectal cancer.

scholarly journals A novel identified pyroptosis-related prognostic signature of colorectal cancer

2021 ◽  
Vol 18 (6) ◽  
pp. 8783-8796
Author(s):  
Chen Zheng ◽  
◽  
Zhaobang Tan ◽  
Keyword(s):  
Colorectal Cancer ◽  
Tumor Microenvironment ◽  
Cox Regression ◽  
Critical Role ◽  
Enrichment Analysis ◽  
R Package ◽  
Gene Set Enrichment Analysis ◽  
Risk Scores ◽  
Prognostic Signature ◽  
Cox Regression Analysis

<abstract> <p>Colorectal cancer (CRC), one of the most common malignancies worldwide, leads to abundant cancer-related mortalities annually. Pyroptosis, a new kind of programmed cell death, plays a critical role in immune response and tumor progression. Our study aimed to identify a prognostic signature for CRC based on pyroptosis-related genes (PRGs). The difference in PRGs between CRC tissues and normal tissues deposited in the TCGA database was calculated by "limma" R package. The tumor microenvironment (TME) of CRC cases was accessed by the ESTIMATE algorithm. The prognostic PRGs were identified using Cox regression analysis. A least absolute shrinkage and selector operation (LASSO) algorithm was used to calculate the risk scores and construct a clinical predictive model of CRC. Gene Set Enrichment Analysis (GSEA) was performed for understanding the function annotation of the signature in the tumor microenvironment. We found that most PRGs were significantly dysregulated in CRC. Through the LASSO method, three key PRGs were selected to calculate the risk scores and construct the prognostic model for CRC. The risk score was an independent indicator of patient's prognosis. In addition, we classified the CRC patients into two clusters based on risk scores and discovered that CRC patients in cluster 2 underwent worse overall survival and owned higher expression levels of immune checkpoint genes in tumor tissues. In conclusion, our study identified a PRG-related prognostic signature for CRC, according to which we classified the CRC patients into two clusters with distinct prognosis and immunotherapy potential.</p> </abstract>

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