scholarly journals COL5A2 Promotes Proliferation and Invasion in Prostate Cancer and Is One of Seven Gleason-Related Genes That Predict Recurrence-Free Survival

2021 ◽  
Vol 11 ◽  
Author(s):  
Xiaohan Ren ◽  
Xinglin Chen ◽  
Kai Fang ◽  
Xu Zhang ◽  
Xiyi Wei ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cell Proliferation ◽  
Predictive Model ◽  
Strong Association ◽  
The Cancer Genome Atlas ◽  
Future Research ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
One Year ◽  
Proliferation And Invasion

Extensive research has revealed that the score derived from the Gleason grading system plays a pivotal role in predicting prostate cancer (PCa) progression. However, the underlying involvement of Gleason-related genes in PCa requires further investigation. This study aimed to identify Gleason-related genes with the potential to guide PCa therapy and future research. Differentially expressed genes (DEGs) were identified by comparing PCa tissues with high or low Gleason scores using the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) databases. R v3.6.1, SPSS v23, and ImageJ software were used for all analyses. An effective recurrence-free survival (RFS) predictive model based on seven Gleason-related genes was established and validated (TCGA, AUC = 0.803; five years, AUC = 0.740; three years, AUC = 0.722; one year, AUC = 0.711; GSE46602, AUC = 0.766; five years, AUC = 0.808; three years, AUC = 0.723; one year, AUC = 0.656; GSE116918, AUC = 0.788; five years, AUC = 0.704; three years, AUC = 0.693; one year, AUC = 0.996). Calibration and nomogram plots were conducted. Weighted correlation network analysis (WGCNA) was used, and COL5A2 was selected for further analysis. The results from in vitro experiments demonstrated that COL5A2 was upregulated in PCa with high Gleason scores. The knockdown of COL5A2 inhibited cell proliferation and invasion in PC-3 and LNCaP cell lines. Meanwhile, COL5A2 displayed a strong association with immune infiltration, which might be an underlying immunotherapy target for PCa. We successfully established a robust RFS predictive model. The findings from this study indicated that COL5A2 could promote cell proliferation and invasion in PCa.

scholarly journals Prediction of Biochemical Recurrence-Free Survival of Prostate Cancer Patients Leveraging Multiple Gene Expression Profiles in Tumor Microenvironment

2021 ◽  
Vol 11 ◽  
Author(s):  
Rui Zhou ◽  
Yuanfa Feng ◽  
Jianheng Ye ◽  
Zhaodong Han ◽  
Yuxiang Liang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Tumor Microenvironment ◽  
Cancer Patients ◽  
Cancer Progression ◽  
Biochemical Recurrence ◽  
Expression Profiles ◽  
The Cancer Genome Atlas ◽  
Cell Contact ◽  
Recurrence Free Survival ◽  
Free Survival

Tumor-adjacent normal (TAN) tissues, which constitute tumor microenvironment and are different from healthy tissues, provide critical information at molecular levels that can be used to differentiate aggressive tumors from indolent tumors. In this study, we analyzed 52 TAN samples from the Cancer Genome Atlas (TCGA) prostate cancer patients and developed a 10-gene prognostic model that can accurately predict biochemical recurrence-free survival based on the profiles of these genes in TAN tissues. The predictive ability was validated using TAN samples from an independent cohort. These 10 prognostic genes in tumor microenvironment are different from the prognostic genes detected in tumor tissues, indicating distinct progression-related mechanisms in two tissue types. Bioinformatics analysis showed that the prognostic genes in tumor microenvironment were significantly enriched by p53 signaling pathway, which may represent the crosstalk tunnels between tumor and its microenvironment and pathways involving cell-to-cell contact and paracrine/endocrine signaling. The insight acquired by this study has advanced our knowledge of the potential role of tumor microenvironment in prostate cancer progression.

scholarly journals Syndecan Family Gene and Protein Expression and Their Prognostic Values for Prostate Cancer

2021 ◽  
Vol 22 (16) ◽  
pp. 8669
Author(s):  
Nilton José Santos ◽  
Caroline Nascimento Barquilha ◽  
Isabela Correa Barbosa ◽  
Rodrigo Tavares Macedo ◽  
Flávio Oliveira Lima ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Survival Data ◽  
Biochemical Recurrence ◽  
Genetically Engineered ◽  
The Cancer Genome Atlas ◽  
Rank Test ◽  
Mrna Levels ◽  
Recurrence Free Survival ◽  
Free Survival ◽  
Gene And Protein Expression

Prostate cancer (PCa) is the leading cause of cancer-associated mortality in men, and new biomarkers are still needed. The expression pattern and protein tissue localization of proteoglycans of the syndecan family (SDC 1–4) and syntenin-1 (SDCBP) were determined in normal and prostatic tumor tissue from two genetically engineered mouse models and human prostate tumors. Studies were validated using SDC 1–4 and SDCBP mRNA levels and patient survival data from The Cancer Genome Atlas and CamCAP databases. RNAseq showed increased expression of Sdc1 in Pb-Cre4/Ptenf/f mouse Pca and upregulation of Sdc3 expression and downregulation of Sdc2 and Sdc4 when compared to the normal prostatic tissue in Pb-Cre4/Trp53f/f-;Rb1f/f mouse tumors. These changes were confirmed by immunohistochemistry. In human PCa, SDC 1–4 and SDCBP immunostaining showed variable localization. Furthermore, Kaplan–Meier analysis showed that patients expressing SDC3 had shorter prostate-specific survival than those without SDC3 expression (log-rank test, p = 0.0047). Analysis of the MSKCC-derived expression showed that SDC1 and SDC3 overexpression is predictive of decreased biochemical recurrence-free survival (p = 0.0099 and p = 0.045, respectively), and SDC4 overexpression is predictive of increased biochemical recurrence-free survival (p = 0.035). SDC4 overexpression was associated with a better prognosis, while SDC1 and SDC3 were associated with more aggressive tumors and a worse prognosis.

scholarly journals Circular RNA_PDHX Promotes the Proliferation and Invasion of Prostate Cancer by Sponging MiR-378a-3p

2021 ◽  
Vol 8 ◽  
Author(s):  
Yuanshen Mao ◽  
Wenfeng Li ◽  
Bao Hua ◽  
Xin Gu ◽  
Weixin Pan ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cell Proliferation ◽  
Specific Binding ◽  
Ectopic Expression ◽  
The Cancer Genome Atlas ◽  
Clinicopathological Parameters ◽  
Circular Rnas ◽  
Proliferation And Invasion

The dysregulation of circular RNAs (circRNAs) is implicated in the pathogenesis of prostate cancer (PCa). However, the underlying mechanisms by which hsa_circ_0003768 (circPDHX) contributes to PCa remain elusive. The differentially expressed circRNAs between PCa and normal tissues were identified by Gene Expression Omnibus dataset. The association of circPDHX and miR-378a-3p expression with the clinicopathological parameters and prognosis in patients with PCa was analyzed by fluorescence in situ hybridization and The Cancer Genome Atlas dataset. 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) and Transwell assays as well as a xenograft tumor model were used to assess the role of circPDHX in PCa cells. circPDHX-specific binding with miR-378a-3p was validated by bioinformatic analysis, luciferase gene reporter, and RNA immunoprecipitation assays. As a result, we found that increased expression of circPDHX was associated with Gleason score (P = 0.001) and pathogenic T stage (P = 0.01) and acted as an independent prognostic factor of poor survival (P = 0.036) in patients with PCa. Knockdown of circPDHX inhibited cell proliferation and invasion in vitro and in vivo, but ectopic expression of circPDHX reversed these effects. Furthermore, circPDHX could sponge miR-378a-3p to promote cell proliferation, but miR-378a-3p counteracted circPDHX-induced cell proliferation and insulin-like growth factor 1 receptor (IGF1R) expression in PCa cells. In conclusion, our findings demonstrated that circPDHX facilitated the proliferation and invasion of PCa cells by sponging miR-378a-3p.

scholarly journals Novel Gene Signatures Predictive of Patient Recurrence-Free Survival and Castration Resistance in Prostate Cancer

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 917
Author(s):  
Jun A ◽  
Baotong Zhang ◽  
Zhiqian Zhang ◽  
Hailiang Hu ◽  
Jin-Tang Dong
Keyword(s):  
Prostate Cancer ◽  
Cox Regression ◽  
Characteristic Curve ◽  
Treatment Decision ◽  
Rank Aggregation ◽  
Lymph Node Status ◽  
Calibration Plot ◽  
Recurrence Free Survival ◽  
Castration Resistance ◽  
Free Survival

Molecular signatures predictive of recurrence-free survival (RFS) and castration resistance are critical for treatment decision-making in prostate cancer (PCa), but the robustness of current signatures is limited. Here, we applied the Robust Rank Aggregation (RRA) method to PCa transcriptome profiles and identified 287 genes differentially expressed between localized castration-resistant PCa (CRPC) and hormone-sensitive PCa (HSPC). Least absolute shrinkage and selection operator (LASSO) and stepwise Cox regression analyses of the 287 genes developed a 6-gene signature predictive of RFS in PCa. This signature included NPEPL1, VWF, LMO7, ALDH2, NUAK1, and TPT1, and was named CRPC-derived prognosis signature (CRPCPS). Interestingly, three of these 6 genes constituted another signature capable of distinguishing CRPC from HSPC. The CRPCPS predicted RFS in 5/9 cohorts in the multivariate analysis and remained valid in patients stratified by tumor stage, Gleason score, and lymph node status. The signature also predicted overall survival and metastasis-free survival. The signature’s robustness was demonstrated by the C-index (0.55–0.74) and the calibration plot in all nine cohorts and the 3-, 5-, and 8-year area under the receiver operating characteristic curve (0.67–0.77) in three cohorts. The nomogram analyses demonstrated CRPCPS’ clinical applicability. The CRPCPS thus appears useful for RFS prediction in PCa.

AS1 expression in prostate cancer and its effects on proliferation and invasion of prostate cancer cells

2021 ◽  
pp. 1-9
Author(s):  
Yuxin Li ◽  
Xiaohong Zhuang ◽  
Li Zhuang ◽  
Hongjian Liu
Keyword(s):  
Prostate Cancer ◽  
Cell Proliferation ◽  
Cancer Cells ◽  
Related Protein ◽  
Prostate Cancer Cells ◽  
Blank Group ◽  
Normal Prostate ◽  
Cell Cycles ◽  
Prostate Cells ◽  
Proliferation And Invasion

This paper aimed at investigating AS1 expression in prostate cancer (PCa) and its effects on the proliferation and invasion of prostate cancer cells (PCCs). The prostate tissues and the matched adjacent normal prostate tissues excised and preserved during radical prostatectomy in our hospital were collected. The LncRNA NCK1-AS1 expression was detected. PCa patients were followed up for three years to analyze their prognosis. The correlation of LncRNA NCK1-AS1 expression with clinicopathological features was analyzed. Human normal prostate cells and human PCCs were selected, in which LncRNA NCK1-AS1 expression was tested to screen and then transfect the cells. Cell proliferation, invasion and migration were detected. Cell cycles and apoptosis were analyzed. Compared with the adjacent normal tissues, LncRNA NCK1-AS1 was highly expressed in the prostate cancer tissues. Its expression was remarkably different in those with different stages of TNM and with lymphatic metastasis or not. The prognosis of patients with high LncRNA NCK1-AS1 expression was remarkably poorer than that of those with low expression. Compared with the human normal prostate cells, LncRNA NCK1-AS1 expression in the human PCCs remarkably rose, with the greatest difference in 22Rv1 cells. Compared with the Blank group, cell proliferation and the number of plate cloned cells remarkably reduced in the sh-NCK1-AS1 group. Additionally, in this group, the number of invasive and migratory cells remarkably reduced; the expression of invasion-related protein E-cadherin remarkably rose but that of MMP-2 remarkably reduced; cell cycles were arrested and the expression of cycle-related proteins (CDK4, CDK6, cyclin D1) remarkably reduced; the apoptotic rate and the expression of apoptosis-related protein Bax remarkably rose. LncRNA NCK1-AS1 is highly expressed in PCa, so its down-regulation can inhibit PCCs from proliferating and reduce the number of invasive cells.

scholarly journals Increased GOLM1 Expression Independently Predicts Unfavorable Overall Survival and Recurrence-Free Survival in Lung Adenocarcinoma

2018 ◽  
Vol 25 (1) ◽  
pp. 107327481877800 ◽  
Author(s):  
Xi Liu ◽  
Lei Chen ◽  
Tao Zhang
Keyword(s):  
Overall Survival ◽  
Lung Adenocarcinoma ◽  
Survival Data ◽  
Methylation Status ◽  
Lung Squamous Cell Carcinoma ◽  
Prognostic Indicator ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Recurrence Free Survival ◽  
Free Survival

Golgi membrane protein 1 (GOLM1) is a transmembrane glycoprotein of the Golgi cisternae, which is implicated in carcinogenesis of multiple types of cancer. In this study, using data from the Gene Expression Omnibus and The Cancer Genome Atlas, we compared the expression of GOLM1 in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) and studied its prognostic value in terms of overall survival (OS) and recurrence-free survival (RFS) in these 2 subtypes of non-small cell lung cancer (NSCLC). Results showed that GOLM1 was significantly upregulated in both LUAD and LUSC tissues compared to the normal controls. However, GOLM1 expression was higher in LUAD tissues than in LUSC tissues. More importantly, using over 10 years’ survival data from 502 patients with LUAD and 494 patients with LUSC, we found that high GOLM1 expression was associated with unfavorable OS and RFS in patients with LUAD, but not in patients with LUSC. The following univariate and multivariate analyses confirmed that increased GOLM1 expression was an independent prognostic indicator of poor OS (hazard ratio [HR]: 1.30, 95% confidence interval [CI]: 1.11-1.54, P = .002) and RFS (HR: 1.37, 95% CI: 1.14-1.64, P = .001) in patients with LUAD. Of 511 cases with LUAD, 248 (48.5%) had heterozygous loss (−1), while 28 (5.5%) of 511 cases with LUAD had low-level copy gain (+1). In addition, we also found that the methylation status of 1 CpG site (chr9: 88,694,942-88,694,944) showed a weak negative correlation with GOLM1 expression (Pearson r = −0.25). Based on these findings, we infer that GOLM1 might serve as a valuable prognostic biomarker in LUAD, but not in LUSC. In addition, DNA copy number alterations and methylation might be 2 important mechanisms of dysregulated GOLM1 in LUAD.

scholarly journals Long Noncoding RNA PTTG3P Expression Is an Unfavorable Prognostic Marker for Patients With Hepatocellular Carcinoma

2019 ◽  
Vol 18 ◽  
pp. 153303381988798 ◽  
Author(s):  
Hansong Bai ◽  
Xing Luo ◽  
Dongxu Liao ◽  
Wei Xiong ◽  
Ming Zeng ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Confidence Interval ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Hazard Ratio ◽  
The Cancer Genome Atlas ◽  
Primary Hepatocellular Carcinoma ◽  
Recurrence Free Survival ◽  
Free Survival

Objective: PTTG3P, which maps to chromosome 8q13.1, is a novel long noncoding RNA with oncogenic properties in cancers. In this study, we aimed to investigate the prognostic value of PTTG3P in terms of overall survival and recurrence-free survival and its potential regulatory network and transcription pattern in patients with hepatocellular carcinoma. Patients and Methods: An in silico analysis was performed using data from the Cancer Genome Atlas-Liver Hepatocellular Carcinoma. Results: Results showed that the high PTTG3P expression group was consistently associated with shorter overall survival and recurrence-free survival, regardless of pathological stages or tumor grade. High PTTG3P expression was an independent indicator of shorter overall survival (hazard ratio: 2.177, 95% confidence interval: 1.519-3.121, P < .001) and recurrence-free survival (hazard ratio: 2.222, 95% confidence interval: 1.503-3.283, P < .001). The genes strongly coexpressed with PTTG3P are enriched in several KEGG pathways that are closely associated with carcinogenesis and malignant transformation of hepatocellular carcinoma. Conclusion: Based on the findings, we infer that PTTG3P expression might serve as an independent prognostic biomarker in primary hepatocellular carcinoma.

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