scholarly journals The expression characteristics and prognostic roles of autophagy-related genes in gastric cancer

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10814
Author(s):  
Mengya Wang ◽  
Jingjing Jing ◽  
Hao Li ◽  
Jingwei Liu ◽  
Yuan Yuan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Prognostic Factors ◽  
Differential Expression Analysis ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Normal Tissues ◽  
Genes Expression ◽  
Expression Characteristics ◽  
Cellular Components

Background Autophagy is an evolutionally highly conserved process, accompanied by the dynamic changes of various molecules, which is necessary for the orderly degradation and recycling of cellular components. The aim of the study was to identify the role of autophagy-related (ATG) genes in the occurrence and development of gastric cancer (GC). Methods Data from Oncomine dataset was used for the differential expression analysis between cancer and normal tissues. The association of ATG genes expression with clinicopathologic indicators was evaluated by The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database. Moreover, using the TCGA datasets, the prognostic role of ATG genes was assessed. A nomogram was further built to assess the independent prognostic factors. Results The expression of autophagy-related genes AMBRA1, ATG4B, ATG7, ATG10, ATG12, ATG16L2, GABARAPL2, GABARAPL1, ULK4 and WIPI2 showed differences between cancer and normal tissues. After verification, ATG14 and ATG4D were significantly associated with TNM stage. ATG9A, ATG2A, and ATG4D were associated with T stage. VMP1 and ATG4A were low-expressed in patients without lymph node metastasis. No gene in autophagy pathway was associated with M stage. Further multivariate analysis suggested that ATG4D and MAP1LC3C were independent prognostic factors for GC. The C-index of nomogram was 0.676 and the 95% CI was 0.628 to 0.724. Conclusion Our study provided a comprehensive illustration of ATG genes expression characteristics in GC. Abnormal expressions of the ubiquitin-like conjugated system in ATG genes plays a key role in the occurrence of GC. ATG8/LC3 sub-system may play an important role in development and clinical outcome of GC. In the future, it is necessary to further elucidate the alterations of specific ATG8/LC3 forms in order to provide insights for the discovery, diagnosis, or targeting for GC.

scholarly journals A Novel TGF-β Risk Score Predicts the Clinical Outcomes and Tumour Microenvironment Phenotypes in Bladder Cancer

2021 ◽  
Vol 12 ◽  
Author(s):  
Zhi Liu ◽  
Tiezheng Qi ◽  
Xiaowen Li ◽  
Yiyan Yao ◽  
Belaydi Othmane ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Risk Score ◽  
Tumour Microenvironment ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Risk Scores ◽  
Immune Checkpoints ◽  
Normal Tissues ◽  
Cox Analysis

BackgroundThe TGF-β pathway plays critical roles in numerous malignancies. Nevertheless, its potential role in prognosis prediction and regulating tumour microenvironment (TME) characteristics require further elucidation in bladder cancer (BLCA).MethodsTGF-β-related genes were comprehensively summarized from several databases. The TCGA-BLCA cohort (training cohort) was downloaded from the Cancer Genome Atlas, and the independent validation cohorts were gathered from Xiangya Hospital (Xinagya cohort) and Gene Expression Omnibus. Initially, we identified differentially expressed TGF-β genes (DEGs) between cancer and normal tissues. Subsequently, univariate Cox analysis was applied to identify prognostic DEGs, which were further used to develop the TGF-β risk score by performing LASSO and multivariate Cox analyses. Then, we studied the role of the TGF-β risk score in predicting prognosis and the TME phenotypes. In addition, the role of the TGF-β risk score in guiding precision treatments for BLCA has also been assessed.ResultsWe successfully constructed a TGF-β risk score with an independent prognostic prediction value. A high TGF-β risk score indicated an inflamed TME, which was supported by the positive relationships between the risk score, enrichment scores of anticancer immunity steps, and the infiltration levels of tumour-infiltrating immune cells. In addition, the risk score positively correlated with the expression of several immune checkpoints and the T cell inflamed score. Consistently, the risk score was positively related to the enrichment scores of most immunotherapy-positive pathways. In addition, the sensitivities of six common chemotherapeutic drugs were positively associated with the risk score. Furthermore, higher risk score indicated higher sensitivity to radiotherapy and EGFR-targeted therapy. On the contrary, patients with low-risk scores were more sensitive to targeted therapies, including the blockade of FGFR3 and WNT-β-catenin networks.ConclusionsWe first constructed and validated a TGF-β signature that could predict the prognosis and TME phenotypes for BLCA. More importantly, the TGF-β risk score could aid in individual precision treatment for BLCA.

scholarly journals Emerging biomarker associated with prognosis of prostate cancer identified via co-expression analysis

2021 ◽  
Author(s):  
fangdie ye ◽  
Yingchun Liang ◽  
Zhang Chen ◽  
Yufei Liu ◽  
Haowen Jiang
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Expression Analysis ◽  
Differential Expression Analysis ◽  
Clinical Information ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Normal Tissues ◽  
Ppi Networks ◽  
And Function

Abstract Background: Forkhead box protein f1 (Foxf1) is associated with oncogenesis, and maybe play a key role in prostate cancer. However, the effect of Foxf1 on the development of prostate cancer and its clinical implications were still unknown. Method: The transcriptome data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). The differential co-expression genes which were the most closely correlated with prostate cancer were identified by weighted gene co-expression network analysis (WGCNA) and differential expression analysis method. The univariate cox regressions were performed to identify the prognostic genes. Finally, Foxf1 were verified in clinical tumor samples and matched normal tissues. Results: A total of 108 differential co-expression genes were identified. Foxf1 was identified that significantly associated with overall survival rate and biochemical recurrence of prostate. Then, protein-protein interaction (PPI) networks were constructed, including 21 nodes and 26 edges. The data revealed GAPVD1, MIR522, MIR937, CPS1, HOXB9, FUBP3, MIR936, SDF4, SATB2, HOXB13, MIR375, PUSL1, SATB1, MIR382, MIR429, HOXD13, PRSS50, FLNC, STRBP, KHSRP were significant associated with the regulation and function of differentially expressed Foxf1 in prostate. The experimental results confirmed the Foxf1 were downregulated in the prostate cancer tissues compared with the matched normal tissues.Conclusion: we obtained a gene Foxf1 which is significantly related with the prognosis of prostate cancer, Foxf1 have significant values in predicting the patients’ Overall survival and may serve as a potential prognosis biomarker and a new therapeutic target of prostate cancer.

scholarly journals Activation of MAT2A-RIP1 signaling axis reprograms monocytes in gastric cancer

2021 ◽  
Vol 9 (2) ◽  
pp. e001364
Author(s):  
Yan Zhang ◽  
Hui Yang ◽  
Jun Zhao ◽  
Ping Wan ◽  
Ye Hu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cell Metabolism ◽  
Vital Role ◽  
Methionine Metabolism ◽  
Promoter Regions ◽  
Normal Tissues ◽  
Methionine Cycle

BackgroundThe activation of tumor-associated macrophages (TAMs) facilitates the progression of gastric cancer (GC). Cell metabolism reprogramming has been shown to play a vital role in the polarization of TAMs. However, the role of methionine metabolism in function of TAMs remains to be explored.MethodsMonocytes/macrophages were isolated from peripheral blood, tumor tissues or normal tissues from healthy donors or patients with GC. The role of methionine metabolism in the activation of TAMs was evaluated with both in vivo analyses and in vitro experiments. Pharmacological inhibition of the methionine cycle and modulation of key metabolic genes was employed, where molecular and biological analyses were performed.ResultsTAMs have increased methionine cycle activity that are mainly attributed to elevated methionine adenosyltransferase II alpha (MAT2A) levels. MAT2A modulates the activation and maintenance of the phenotype of TAMs and mediates the upregulation of RIP1 by increasing the histone H3K4 methylation (H3K4me3) at its promoter regions.ConclusionsOur data cast light on a novel mechanism by which methionine metabolism regulates the anti-inflammatory functions of monocytes in GC. MAT2A might be a potential therapeutic target for cancer cells as well as TAMs in GC.

scholarly journals Evaluation of the prognostic value of CBXs in gastric cancer patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mengya He ◽  
Limin Yue ◽  
Haiyan Wang ◽  
Feiyan Yu ◽  
Mingyang Yu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Target Genes ◽  
Prognostic Significance ◽  
Disease Free Survival ◽  
Genetic Alterations ◽  
Genetic Mutation ◽  
The Cancer Genome Atlas ◽  
Normal Tissues ◽  
Interactive Analysis ◽  
Gastric Cancer Patients

AbstractChromobox (CBX) proteins were suggested to exert epigenetic regulatory and transcriptionally repressing effects on target genes and might play key roles in the carcinogenesis of a variety of carcinomas. Nevertheless, the functions and prognostic significance of CBXs in gastric cancer (GC) remain unclear. The current study investigated the roles of CBXs in the prognosis of GC using the Oncomine, The Gene Expression Profiling Interactive Analysis (GEPIA), UALCAN, The Cancer Genome Atlas (TCGA), and cBioPortal databases. CBX1/2/3/4/5 were significantly upregulated in GC tissues compared with normal tissues, and CBX7 was downregulated. Multivariate analysis showed that high mRNA expression levels of CBX3/8 were independent prognostic factors for prolonged OS in GC patients. In addition, the genetic mutation rate of CBXs was 37% in GC patients, and genetic alterations in CBXs showed no association with OS or disease-free survival (DFS) in GC patients. These results indicated that CBX3/8 can be prognostic biomarkers for the survival of GC patients.

Knockdown of PGM1 Synergistically Enhances Anticancer Effects of Orlistat in Gastric Cancer Under Glucose Deprivation

2021 ◽  
Author(s):  
Bo Cao ◽  
Huan Deng ◽  
Hao Cui ◽  
Ruiyang Zhao ◽  
Hanghang Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cell Proliferation ◽  
Lipid Metabolism ◽  
Fatty Acid Synthase ◽  
Enrichment Analysis ◽  
Glucose Deprivation ◽  
Metabolic Reprogramming ◽  
The Cancer Genome Atlas

Abstract Background Phosphoglucomutase 1 (PGM1) acts as an important regulator in glucose metabolism. However, the role of PGM1 in gastric cancer (GC) remains unclear. This study aims to investigate the role of PGM1 and develop novel regimens based on metabolic reprogramming in GC. MethodsCorrelation and enrichment analysis of PGM1 was conducted based on The Cancer Genome Atlas database. Data derived from the Kaplan-Meier Plotter database were analyzed for correlations between PGM1 expression and survival time of GC patients. CCK-8, EdU, flow cytometry assays, generation of subcutaneous tumor and lung metastasis mouse models were used to determine growth and metastasis in vitro and in vivo. Cell glycolysis was detected by a battery of glycolytic indicators, including lactate, pyruvic acid, ATP production and glucose uptake. Fatty Acid Synthase (FASN) activity and detection of lipid regulators levels by western blot were used to reflect on the cell lipid metabolism. ResultsCorrelation and enrichment analysis suggested that PGM1 was closely associated with cell proliferation and metabolism. PGM1 was overexpressed in GC tissues and cell lines. High PGM1 expression served as an indicator of shorter survival for specific subpopulation of GC patients, which was also correlated with some clinicopathological features, including T stage and TNM stage. Under low glucose conditions, knockdown of PGM1 significantly suppressed cell proliferation and glycolysis levels, whereas lipid metabolism was enhanced. Orlistat, as a drug that was designed to inhibit FASN activity for obesity treatment, effectively induced apoptosis, suppressed FASN activity. However, orlistat conversely increased glycolytic levels in GC cells. Orlistat exhibited more significant inhibitive effects on GC progression after knockdown of PGM1 under glucose deprivation due to combination of glycolysis and lipid metabolism. ConclusionsDownregulation of PGM1 expression under glucose deprivation synergistically enhanced anti-cancer effects of orlistat. This combination application may serve as a novel strategy for GC treatment.

scholarly journals DNASE1L3 as a Novel Diagnostic and Prognostic Biomarker for Lung Adenocarcinoma Based on Data Mining

2021 ◽  
Vol 12 ◽  
Author(s):  
Jianlin Chen ◽  
Junping Ding ◽  
Wenjie Huang ◽  
Lin Sun ◽  
Jinping Chen ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Prognostic Biomarker ◽  
Function Analysis ◽  
Mrna Level ◽  
Gene Expression Omnibus ◽  
The Cancer Genome Atlas ◽  
Immune Checkpoints ◽  
Diagnostic Efficiency ◽  
Protein Levels ◽  
Normal Tissues

Previous researches have highlighted that low-expressing deoxyribonuclease1-like 3 (DNASE1L3) may play a role as a potential prognostic biomarker in several cancers. However, the diagnosis and prognosis roles of DNASE1L3 gene in lung adenocarcinoma (LUAD) remain largely unknown. This research aimed to explore the diagnosis value, prognostic value, and potential oncogenic roles of DNASE1L3 in LUAD. We performed bioinformatics analysis on LUAD datasets downloaded from TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus), and jointly analyzed with various online databases. We found that both the mRNA and protein levels of DNASE1L3 in patients with LUAD were noticeably lower than that in normal tissues. Low DNASE1L3 expression was significantly associated with higher pathological stages, T stages, and poor prognosis in LUAD cohorts. Multivariate analysis revealed that DNASE1L3 was an independent factor affecting overall survival (HR = 0.680, p = 0.027). Moreover, decreased DNASE1L3 showed strong diagnostic efficiency for LUAD. Results indicated that the mRNA level of DNASE1L3 was positively correlated with the infiltration of various immune cells, immune checkpoints in LUAD, especially with some m6A methylation regulators. In addition, enrichment function analysis revealed that the co-expressed genes may participate in the process of intercellular signal transduction and transmission. GSEA indicated that DNASE1L3 was positively related to G protein-coupled receptor ligand biding (NES = 1.738; P adjust = 0.044; FDR = 0.033) and G alpha (i) signaling events (NES = 1.635; P adjust = 0.044; FDR = 0.033). Our results demonstrated that decreased DNASE1L3 may serve as a novel diagnostic and prognostic biomarker associating with immune infiltrates in lung adenocarcinoma.

scholarly journals A Pipeline to Call Multilevel Expression Changes between Cancer and Normal Tissues and Its Applications in Repurposing Drugs Effective for Gastric Cancer

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Wei Gao ◽  
Jianwei Yang ◽  
Changhua Zhuo ◽  
Sha Huang ◽  
Jinyuan Lin ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Interleukin 4 ◽  
Data Quality Control ◽  
Expression Change ◽  
Normal Tissues ◽  
Differential Coexpression ◽  
Cancer Pathogenesis ◽  
Differential Gene

Differential gene analyses on gastric cancer usually focus on expression change of single genes between tumor and adjacent normal tissues. However, besides changes on single genes, there are also coexpression and expression network module changes during the development of gastric cancer. In this study, we proposed a pipeline to investigate various levels of changes between gastric cancer and adjacent normal tissues, which were used to repurpose potential drugs for treating gastric cancer. Specifically, we performed a series of analyses on 242 gastric cancer samples (33-normal, 209-cancer) downloaded from the cancer genome atlas (TCGA), including data quality control, differential gene analysis, gene coexpression network analysis, module function enrichment analysis, differential coexpression analysis, differential pathway analysis, and screening of potential therapeutic drugs. In the end, we discovered some genes and pathways that are significantly different between cancer and adjacent normal tissues (such as the interleukin-4 and interleukin-13 signaling pathway) and screened perturbed genes by 2703 drugs that have a high overlap with the identified differentially expressed genes. Our pipeline might be useful for understanding cancer pathogenesis as well as gastric cancer treatment.

scholarly journals Krüppel-Like Factor 7 is a Marker of Aggressive Gastric Cancer and Poor Prognosis

2017 ◽  
Vol 43 (3) ◽  
pp. 1090-1099 ◽  
Author(s):  
Zhonghua Jiang ◽  
Tingting Yu ◽  
Zhining Fan ◽  
Hongmei Yang ◽  
Xin Lin
Keyword(s):  
Gastric Cancer ◽  
Disease Free Survival ◽  
Clinicopathological Characteristics ◽  
The Cancer Genome Atlas ◽  
Strong Negative Correlation ◽  
Functional Studies ◽  
Expression Of Genes ◽  
Cancer Genome Atlas

Background/Aims: Krüppel-like factor (KLF) 7 protein is a member of the KLF transcription factor family, which plays important roles in regulating the expression of genes involved in cell growth, proliferation, differentiation and metabolism. However, the role of KLF7 in gastric cancer (GC) is unknown. The aim of this study is to explore the role of KLF7 in GC and its correlation with clinicopathological characteristics and prognosis of GC patients. Methods: We first systematically evaluated dysregulation of the KLF family in The Cancer Genome Atlas (TCGA) GC database. Then, 252 patients who underwent surgery for GC were enrolled to validate the results from the TCGA. Functional studies were also used to explore the role of KLF7 in GC. Results: In the TCGA database, we found that KLF7 was an independent predictor for survival by both univariate and multivariate analysis (P<0.05). In a validation cohort, KLF7 expression was significantly increased in GC tissues compared with adjacent normal controls (P=0.013). High KLF7 expression correlated with inferior prognostic factors, such as T stage (P=0.022), N stage (P =0.005) and lymphovascular invasion (P=0.009). Furthermore, we observed a strong negative correlation between KLF7 expression and 5-year overall survival and disease-free survival in GC patients (P<0.05). Moreover, our in vitro studies showed a notable decrease in migration in KLF7 knockdown cells. Conclusion: KLF7 has an important role in GC progression, as it inhibits GC cell migration and may serve as a prognostic marker.

scholarly journals SNORA71A Promotes Colorectal Cancer Cell Proliferation, Migration, and Invasion

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Zhengxiang Zhang ◽  
Yunxiang Tao ◽  
Qingling Hua ◽  
Juan Cai ◽  
Xiaobing Ye ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cell Proliferation ◽  
Sensory Perception ◽  
The Cancer Genome Atlas ◽  
Migration And Invasion ◽  
Integrated Analysis ◽  
Small Rna Sequencing ◽  
Chemical Stimulus ◽  
Normal Tissues

Small nucleolar RNAs (snoRNAs) play a crucial role during colorectal cancer (CRC) development. The study of SNORA71A is few, and its role in CRC is unknown. This study focused on screening abnormal snoRNAs in CRC and exploring the role of key snoRNA in CRC. The expression pattern of snoRNAs in 3 CRC and 3 normal colon tissues was detected via small RNA sequencing. The six candidate snoRNAs were identified by quantitative PCR (qPCR). Subsequently, the expression level of SNORA71A was further verified through the Cancer Genome Atlas (TCGA) data analysis and qPCR. The CCK8 and transwell assays were used to detect the functional role of SNORA71A in CRC cells. The integrated analysis of snoRNA expression profile indicated that a total 107 snoRNAs were significantly differentially expressed (DE) in CRC tissues compared with normal tissues, including 45 upregulated and 62 downregulated snoRNAs. Bioinformatics analysis revealed that the DE snoRNAs were mainly implicated in “detection of chemical stimulus involved in sensory perception of smell” and “sensory perception of smell” in the biological process. The DE snoRNAs were preferentially enriched in “olfactory transduction” and “glycosphingolipid biosynthesis-ganglio series pathway.” The expression of SNORA71A was upregulated in CRC tissues and cells. SNORA71A expression showed statistically significant correlations with TNM stage ( P = 0.0196 ) and lymph node metastasis ( P = 0.0189 ) and can serve as biomarkers for CRC. Importantly, SNORA71A significantly facilitated the CRC cell proliferation, migration, and invasion. Our findings indicate that SNORA71A screened by sequencing acted as an oncogene and promoted proliferation, migration, and invasion ability of CRC cells.

scholarly journals Tissue-Specific Down-Regulation of the Long Non-Coding RNAs PCAT18 and LINC01133 in Gastric Cancer Development

2018 ◽  
Vol 19 (12) ◽  
pp. 3881 ◽  
Author(s):  
Kobra Foroughi ◽  
Mohammad Amini ◽  
Amir Atashi ◽  
Habibollah Mahmoodzadeh ◽  
Ute Hamann ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Network Analysis ◽  
Gastrointestinal Disease ◽  
Gastric Carcinogenesis ◽  
Gene Expression Omnibus ◽  
Cancer Development ◽  
Down Regulation ◽  
Tissue Specific ◽  
Normal Tissues ◽  
Non Coding Rnas

Gastric cancer (GC) is the fifth most common cancer and the third most frequent cause of cancer deaths worldwide. The high death rate associated with GC, and lack of appropriate biomarkers for diagnosis, prognosis, and treatment emphasize the need for identification of novel molecules. Given the emerging roles for long non-coding RNAs (lncRNAs) in cancer development, we studied novel lncRNA candidates involved in gastric carcinogenesis. LncRNA candidate discovery was performed using analyses of available datasets and literature. Validation was done using an internal sample set of GC/normal tissues, and external independent datasets. Network analysis and functional annotation of co-expressed protein coding genes were performed using the weighted gene correlation network analysis (WGCNA) and ingenuity pathway analysis. Two novel lncRNAs, PCAT18 and LINC01133, associated with GC development were identified by analysis of the discovery Gene Expression Omnibus (GEO) datasets. The down-regulation of these genes in GC tissues was successfully validated internally and externally. The results showed a tissue-specific down-regulation of PCAT18 and LINC01133 in gastrointestinal tissues. WGCNA and ingenuity pathway analyses revealed that the genes co-expressed with the two lncRNAs were mostly involved in metabolic pathways and networks of gastrointestinal disease and function. Our findings of a tissue-specific down-regulation of PCAT18 and LINC01133 in gastric and other gastrointestinal cancers imply that these lncRNAs may have a tumor suppressive function in the development of these tumor entities. The two lncRNA biomarkers may contribute to a better understanding of the complex mechanisms of gastric carcinogenesis.

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