MiR-3614-5p Is a Potential Novel Biomarker for Colorectal Cancer

MiR-3614-5p has been found in a variety of cancers including colorectal cancer. However, the association of miR-3614-5p with colorectal cancer is still unclear. Based on the Cancer Genome Atlas (TCGA) database, the relationship between miR-3614-5p and colorectal cancer can be proved. Wilcoxon rank-sum test was used to compare the miR-3614-5p expression in colorectal cancer tissues and under normal conditions, respectively. The logistic regression method was further employed to analyze the relationship between miR-3614-5p and clinicopathological characteristics. Also, the correlation between miR-3614-5p and survival rate was evaluated by Kaplan-Meier and Cox regression analysis. Besides, gene set enrichment analysis (GSEA) was used to investigate the biological functions of miR-3614-5p. The decrease of miR-3614-5p expression of colorectal cancer was significantly correlated with N stage (OR) = 0.7 for N1&N2 vs. N0), M stage (OR = 0.5 for M1 vs. M0), pathologic stage (OR = 0.7 for Stage III & Stage IV vs. Stage I & Stage II), neoplasm type (OR = 0.5 for rectum adenocarcinoma vs. colon adenocarcinoma), and lymphatic invasion (OR = 0.6 for YES vs. NO) (all p-values < 0.05). Kaplan-Meier survival analysis showed that colorectal cancer with low miR-3614-5p has a poorer prognosis than that of high miR-3614-5p (p = 0.005). According to univariate analysis, low miR-3614-5p was associated with poor overall survival (OS) [hazard ratio (HR) = 0.599; 95% confidence interval (CI): 0.418-0.857; p = 0.005]. In multivariate analysis, miR-3614-5p was closely related to OS (HR = 0.630; 95% CI: 0.405-0.978, p = 0.021). GSEA showed that the high expression phenotype of miR-3614-5p differentially enriches the P53 pathway. Meanwhile, the high expression phenotype of miR-3614-5p enhanced NK T cell activation, negative T cell selection, response to interleukin 2, and response to tumor cells. MiR-3614-5p is a possible prognostic marker of low survival rate for patients with colorectal cancer. Moreover, the P53 pathway and P38MAPK pathway may be the key pathways regulated by miR-3614-5p in colorectal cancer.

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CLDN6 and CLDN10 are Associated with Immune Infiltration of Ovarian Cancer: A Study of Claudin Family

10.21203/rs.3.rs-40048/v1 ◽

2020 ◽

Author(s):

Peipei Gao ◽

Ting Peng ◽

Canhui Cao ◽

Shitong Lin ◽

Ping Wu ◽

...

Keyword(s):

Ovarian Cancer ◽

T Cell ◽

Tumor Microenvironment ◽

Immune Cells ◽

Enrichment Analysis ◽

Gene Set Enrichment Analysis ◽

Gene Markers ◽

Immune Infiltration ◽

Kaplan Meier ◽

The Relationship

Abstract Background: Claudin family is a group of membrane proteins related to tight junction. There are many studies about them in cancer, but few studies pay attention to the relationship between them and the tumor microenvironment. In our research, we mainly focused on the genes related to the prognosis of ovarian cancer, and explored the relationship between them and the tumor microenvironment of ovarian cancer.Methods: The cBioProtal provided the genetic variation pattern of claudin gene family in ovarian cancer. The ONCOMINE database and Gene Expression Profiling Interactive Analysis (GEPIA) were used to exploring the mRNA expression of claudins in cancers. The prognostic potential of these genes was examined via Kaplan-Meier plotter. Immunologic signatures were enriched by gene set enrichment analysis (GSEA). The correlations between claudins and the tumor microenvironment of ovarian cancer were investigated via Tumor Immune Estimation Resource (TIMER).Results: In our research, claudin genes were altered in 363 (62%) of queried patients/samples. Abnormal expression levels of claudins were observed in various cancers. Among them, we found that CLDN3, CLDN4, CLDN6, CLDN10, CLDN15 and CLDN16 were significantly correlated with overall survival of patients with ovarian cancer. GSEA revealed that CLDN6 and CLDN10 were significantly enriched in immunologic signatures about B cell, CD4 T cell and CD8 T cell. What makes more sense is that CLDN6 and CLDN10 were found related to the tumor microenvironment. CLDN6 expression was negatively correlated with immune infiltration level in ovarian cancer, and CLDN10 expression was positively correlated with immune infiltration level in ovarian cancer. Further study revealed the CLDN6 expression level was negatively correlated with gene markers of various immune cells in ovarian cancer. And, the expression of CLDN10 was positive correlated with gene markers of immune cells in ovarian cancer.Conclusions: CLDN6 and CLDN10 were prognostic biomarkers, and correlated with immune infiltration in ovarian cancer. Our results revealed new roles for CLDN6 and CLDN10, and they were potential therapeutic targets in the treatment of ovarian cancer.

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The relationship between RECK Gene Polymorphisms and the prognosis of cholangiocarcinoma

10.21203/rs.3.rs-44943/v1 ◽

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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High Expression of RARβ Is a Favorable Factor in Colorectal Cancer

Disease Markers ◽

10.1155/2019/7138754 ◽

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.

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Upregulation of FGD6 Predicts Poor Prognosis in Gastric Cancer

Frontiers in Medicine ◽

10.3389/fmed.2021.672595 ◽

2021 ◽

Vol 8 ◽

Author(s):

Jianmin Zeng ◽

Man Li ◽

Huasheng Shi ◽

Jianhui Guo

Keyword(s):

Gastric Cancer ◽

Regression Analysis ◽

Prognostic Factor ◽

Poor Prognosis ◽

Cox Regression ◽

Independent Prognostic Factor ◽

Gene Set Enrichment Analysis ◽

High Expression ◽

Cox Regression Analysis ◽

The Relationship

Background: The aim of this study was to investigate the prognostic significance of faciogenital dysplasia 6 (FGD6) in gastric cancer (GC).Methods: The data of GC patients from The Cancer Genome Atlas (TCGA) database were used for the primary study. Then, our data were validated by the GEO database and RuiJin cohort. The relationship between the FGD6 level and various clinicopathological features was analyzed by logistic regression and univariate Cox regression. Multivariate Cox regression analysis was used to evaluate whether FGD6 was an independent prognostic factor for survival of patients with GC. The relationship between FGD6 and overall survival time was explored by the Kaplan–Meier method. In addition, gene set enrichment analysis (GSEA) was performed to investigate the possible biological processes of FGD6.Results: The FGD6 level was significantly overexpressed in GC tissues, compared with adjacent normal tissues. The high expression of FGD6 was related to a high histological grade, stage, and T classification and poor prognosis of GC. Multivariate Cox regression analysis showed that FGD6 was an independent prognostic factor for survival of patients with GC. GSEA identified that the high expression of FGD6 was mainly enriched in regulation of actin cytoskeleton.Conclusion: FGD6 may be a prognostic biomarker for predicting the outcome of patients with GC.

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Prognostic role of aberrant mTOR activation in patients with stage II and III colorectal cancer

Biomarkers in Medicine ◽

10.2217/bmm-2020-0141 ◽

2020 ◽

Vol 14 (12) ◽

pp. 1127-1137

Author(s):

Tong-Tong Zhang ◽

Yi-Qing Zhu ◽

Hong-Qing Cai ◽

Jun-Wen Zheng ◽

Jia-Jie Hao ◽

...

Keyword(s):

Colorectal Cancer ◽

Cox Regression ◽

Disease Free Survival ◽

Stage Ii ◽

Poor Prognostic Factor ◽

Cox Regression Analysis ◽

Kaplan Meier ◽

Potential Biomarker ◽

Risk Predictor

Aim: This study aimed to develop an effective risk predictor for patients with stage II and III colorectal cancer (CRC). Materials & methods: The prognostic value of p-mTOR (Ser2448) levels was analyzed using Kaplan–Meier survival analysis and Cox regression analysis. Results: The levels of p-mTOR were increased in CRC specimens and significantly correlated with poor prognosis in patients with stage II and III CRC. Notably, the p-mTOR level was an independent poor prognostic factor for disease-free survival and overall survival in stage II CRC. Conclusion: Aberrant mTOR activation was significantly associated with the risk of recurrence or death in patients with stage II and III CRC, thus this activated proteins that may serve as a potential biomarker for high-risk CRC.

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The relationship between CD204 M2-polarized tumour-associated macrophages (TAMs), tumour-infiltrating lymphocytes (TILs), and microglial activation in glioblastoma microenvironment: a novel immune checkpoint receptor target

Discover Oncology ◽

10.1007/s12672-021-00423-8 ◽

2021 ◽

Vol 12 (1) ◽

Author(s):

Maher Kurdi ◽

Badrah Alghamdi ◽

Nadeem Shafique Butt ◽

Saleh Baeesa

Keyword(s):

Microglial Activation ◽

Inverse Correlation ◽

Idh1 Mutation ◽

High Expression ◽

Kaplan Meier ◽

Significant Difference ◽

Tumour Infiltrating Lymphocytes ◽

Infiltrating Lymphocytes ◽

The Relationship ◽

Low Expression

Abstract Background Tumour associated macrophages (TAMs) and tumour infiltrating lymphocytes (TILs) are considered dominant cells in glioblastoma microenvironment. Aim The purpose of this study was to assess the expression of CD204+ M2-polarized TAMs in glioblastomas and their relationship with CD4+TILs, Iba+microglia, and IDH1 mutation. We also exploreed the prognostic value of these markers on the recurrence-free interval (RFI). Methods The expressions of CD204+TAMs, CD4+TILs, and Iba1+microglia were quantitively assessed in 45 glioblastomas using immunohistochemistry. Kaplan–Meier analysis and Cox hazards were used to examine the relationship between these factors. Results CD204+TAMs were highly expressed in 32 tumours (71%) and the remaining 13 tumours (29%) had reduced expression. CD4+TILs were highly expressed in 10 cases (22%) and 35 cases (77.8%) had low expression. There was an inverse correlation between CD204+TAMs and CD4+TILs, in which 85% of tumours had a high expression of CD204+TAMs and a low expression of CD4+TILs. Nevertheless, there was no significant difference in IDH1 mutation status between the two groups (p = 0.779). There was a significant difference in Iba1+microglial activation between IDH1mutant and IDH1wildtype groups (p = 0.031). For cases with a high expression of CD204+TAMs and a low expression of CD4+TILs, there was a significant difference in RFI after treatment with chemoradiotherapy or radiotherapy (p = 0.030). Conclusion Glioblastoma with a dense CD204+TAMs and few CD4+TILs is associated with IDH1wildtype. These findings suggest that TAMs masks tumour cell and suppress T-cell tumoricidal functions via immunomodulatory mechanisms. Blockade of the CD204-TAM receptor may prevent this mechanism and allow the evolution of TILs.

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Comprehensive Analysis of CPA4 as a Poor Prognostic Biomarker Correlated with Immune Cells Infiltration in Bladder Cancer

Biology ◽

10.3390/biology10111143 ◽

2021 ◽

Vol 10 (11) ◽

pp. 1143

Author(s):

Chengcheng Wei ◽

Yuancheng Zhou ◽

Qi Xiong ◽

Ming Xiong ◽

Yaxin Hou ◽

...

Keyword(s):

Bladder Cancer ◽

T Cell ◽

Immune Cells ◽

Prognostic Significance ◽

Gene Set Enrichment Analysis ◽

Marker Genes ◽

Gene Marker ◽

Normal Tissues ◽

Kaplan Meier ◽

Diagnostic Potential

Carboxypeptidase A4 (CPA4) has shown the potential to be a biomarker in the early diagnosis of certain cancers. However, no previous research has linked CPA4 to therapeutic or prognostic significance in bladder cancer. Using data from The Cancer Genome Atlas (TCGA) database, we set out to determine the full extent of the link between CPA4 and BLCA. We further analyzed the interacting proteins of CPA4 and infiltrated immune cells via the TIMER2, STRING, and GEPIA2 databases. The expression of CPA4 in tumor and normal tissues was compared using the TCGA + GETx database. The connection between CPA4 expression and clinicopathologic characteristics and overall survival (OS) was investigated using multivariate methods and Kaplan–Meier survival curves. The potential functions and pathways were investigated via gene set enrichment analysis. Furthermore, we analyze the associations between CPA4 expression and infiltrated immune cells with their respective gene marker sets using the ssGSEA, TIMER2, and GEPIA2 databases. Compared with matching normal tissues, human CPA4 was found to be substantially expressed. We confirmed that the overexpression of CPA4 is linked with shorter OS, DSF(Disease-specific survival), PFI(Progression-free interval), and increased diagnostic potential using Kaplan–Meier and ROC analysis. The expression of CPA4 is related to T-bet, IL12RB2, CTLA4, and LAG3, among which T-bet and IL12RB2 are Th1 marker genes while CTLA4 and LAG3 are related to T cell exhaustion, which may be used to guide the application of checkpoint blockade and the adoption of T cell transfer therapy.

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Expression of LOX Suggests Poor Prognosis in Gastric Cancer

Frontiers in Medicine ◽

10.3389/fmed.2021.718986 ◽

2021 ◽

Vol 8 ◽

Author(s):

Jinfeng Zhu ◽

Chen Luo ◽

Jiefeng Zhao ◽

Xiaojian Zhu ◽

Kang Lin ◽

...

Keyword(s):

Gene Expression ◽

Gastric Cancer ◽

Logistic Regression ◽

Regression Analysis ◽

Poor Prognosis ◽

Cox Regression ◽

Gene Set Enrichment Analysis ◽

High Expression ◽

Expression Level ◽

Cox Regression Analysis

Background: Lysyl oxidase (LOX) is a key enzyme for the cross-linking of collagen and elastin in the extracellular matrix. This study evaluated the prognostic role of LOX in gastric cancer (GC) by analyzing the data of The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) dataset.Methods: The Wilcoxon rank-sum test was used to calculate the expression difference of LOX gene in gastric cancer and normal tissues. Western blot and immunohistochemical staining were used to evaluate the expression level of LOX protein in gastric cancer. Kaplan-Meier analysis was used to calculate the survival difference between the high expression group and the low expression group in gastric cancer. The relationship between statistical clinicopathological characteristics and LOX gene expression was analyzed by Wilcoxon or Kruskal-Wallis test and logistic regression. Univariate and multivariate Cox regression analysis was used to find independent risk factors affecting the prognosis of GC patients. Gene set enrichment analysis (GSEA) was used to screen the possible mechanisms of LOX and GC. The CIBERSORT calculation method was used to evaluate the distribution of tumor-infiltrating immune cell (TIC) abundance.Results: LOX is highly expressed in gastric cancer tissues and is significantly related to poor overall survival. Wilcoxon or Kruskal-Wallis test and Logistic regression analysis showed, LOX overexpression is significantly correlated with T-stage progression in gastric cancer. Multivariate Cox regression analysis on TCGA and GEO data found that LOX (all p < 0.05) is an independent factor for poor GC prognosis. GSEA showed that high LOX expression is related to ECM receptor interaction, cancer, Hedgehog, TGF-beta, JAK-STAT, MAPK, Wnt, and mTOR signaling pathways. The expression level of LOX affects the immune activity of the tumor microenvironment in gastric cancer.Conclusion: High expression of LOX is a potential molecular indicator for poor prognosis of gastric cancer.

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Identification of Epithelial–Mesenchymal Transition-Related Prognostic lncRNAs Biomarkers Associated With Melanoma Microenvironment

Frontiers in Cell and Developmental Biology ◽

10.3389/fcell.2021.679133 ◽

2021 ◽

Vol 9 ◽

Author(s):

Bo Xiao ◽

Liyan Liu ◽

Zhuoyuan Chen ◽

Aoyu Li ◽

Pingxiao Wang ◽

...

Keyword(s):

Cox Regression ◽

Epithelial Mesenchymal Transition ◽

Enrichment Analysis ◽

Roc Curves ◽

Risk Groups ◽

Gene Set Enrichment Analysis ◽

Gene Set Enrichment ◽

Mesenchymal Transition ◽

Cox Regression Analysis ◽

Kaplan Meier

Melanoma is the most common cancer of the skin, associated with a worse prognosis and distant metastasis. Epithelial–mesenchymal transition (EMT) is a reversible cellular biological process that plays significant roles in diverse tumor functions, and it is modulated by specific genes and transcription factors. The relevance of EMT-related lncRNAs in melanoma has not been determined. Therefore, RNA expression data and clinical features were collected from the TCGA database (N = 447). Melanoma samples were randomly assigned into the training (315) and testing sets (132). An EMT-related lncRNA signature was constructed via comprehensive analyses of lncRNA expression level and corresponding clinical data. The Kaplan-Meier analysis showed significant differences in overall survival in patients with melanoma in the low and high-risk groups in two sets. Receiver operating characteristic (ROC) curves were used to measure the performance of the model. Cox regression analysis indicated that the risk score was an independent prognostic factor in two sets. Besides, a nomogram was constructed based on the independent variables. Gene Set Enrichment Analysis (GSEA) was applied to evaluate the potential biological functions in the two risk groups. Furthermore, the melanoma microenvironment was evaluated using ESTIMATE and CIBERSORT algorithms in the risk groups. This study indicates that EMT-related lncRNAs can function as potential independent prognostic biomarkers for melanoma survival.

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Prognostic value of biglycan in gastric cancer

10.21203/rs.3.rs-103093/v1 ◽

2020 ◽

Author(s):

Sizhe Hu ◽

Peipei Li ◽

Chenying Wang ◽

Xiyong Liu

Keyword(s):

Gastric Cancer ◽

Transcription Factors ◽

Poor Prognosis ◽

Prognostic Significance ◽

Bioinformatic Analysis ◽

Gene Set Enrichment Analysis ◽

High Expression ◽

Mrna Levels ◽

Gene Signatures ◽

Kaplan Meier

Abstract Background: BGN (biglycan) is a family member of small leucine-rich repeat proteoglycans. High expression of BGN might enhance the invasion and metastasis in some types of tumors. Here, the prognostic significance of BGN was evaluated in gastric cancer.Material and Methods: Two independent Gene Expression Omnibus (GEO) gastric cancer microarray datasets( n= 64, n=432) were collected for this study. Kaplan-Meier analysis was applied to evaluate if BGN impacts the outcomes of gastric cancer. The gene set enrichment analysis (GSEA) was used to explore BGN and cancer-related gene signatures. Bioinformatic analysis predicted the putative transcription factors of BGN.Results: For gastric cancer, the mRNA expression level of BGN in tumor tissues was significantly higher than that in normal tissues. Kaplan-Meier analysis showed that higher expression of BGN mRNA was significantly associated with more reduced recurrence-free survival (RFS). GSEA results suggested that BGN significantly enriched metastasis and poor prognosis gene signatures, revealing that BGN might be associated with cell proliferation, poor differentiation, high invasiveness of gastric cancer. Meanwhile, the putative transcription factors, including AR, E2F1, and TCF4, weres predicted by bioinformatic analysis and also significantly correlated with expression of BGN in mRNA levels. Conclusion: High expression of BGN mRNA was significantly related to poor prognosis, which suggested BGN was a potential prognostic biomarker and therapeutic target of gastric cancer.

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