scholarly journals The Intratumor Microbiota Signatures Associate With Subtype, Tumor Stage, and Survival Status of Esophageal Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Yangyang Wang ◽  
Hua Guo ◽  
Xiaoguang Gao ◽  
Jihan Wang
Keyword(s):  
Esophageal Carcinoma ◽  
Clinical Characteristics ◽  
Human Microbiome ◽  
Tumor Stage ◽  
The Cancer Genome Atlas ◽  
Sequencing Data ◽  
Microbial Composition ◽  
Survival Status ◽  
Normal Tissues ◽  
Microbial Profiling

Altered human microbiome characteristic has been linked with esophageal carcinoma (ESCA), analysis of microbial profiling directly derived from ESCA tumor tissue is beneficial for studying the microbial functions in tumorigenesis and development of ESCA. In this study, we identified the intratumor microbiome signature and investigated the correlation between microbes and clinical characteristics of patients with ESCA, on the basis of data and information obtained from The Cancer Microbiome Atlas (TCMA) and The Cancer Genome Atlas (TCGA) databases. A total of 82 samples were analyzed for microbial composition at various taxonomic levels, including 40 tumor samples of esophageal squamous cell carcinoma (ESCC), 20 tumor samples of esophageal adenocarcinoma (EAD), and 22 adjacent normal samples. The results showed that the relative abundance of several microbes changed in tumors compared to their paired normal tissues, such as Firmicutes increased significantly while Proteobacteria decreased in tumor samples. We also identified a microbial signature composed of ten microbes that may help in the classification of ESCC and EAD, the two subtypes of ESCA. Correlation analysis demonstrated that compositions of microbes Fusobacteria/Fusobacteriia/Fusobacteriales, Lactobacillales/Lactobacillaceae/Lactobacillus, Clostridia/Clostridiales, Proteobacteria, and Negativicutes were correlated with the clinical characteristics of ESCA patients. In summary, this study supports the feasibility of detecting intratumor microbial composition derived from tumor sequencing data, and it provides novel insights into the roles of microbiota in tumors. Ultimately, as the second genome of human body, microbiome signature analysis may help to add more information to the blueprint of human biology.

scholarly journals Hyaluronan-mediated motility receptor expression functions as a prognostic biomarker in uterine carcinosarcoma based on bioinformatics analysis

2021 ◽  
Vol 49 (6) ◽  
pp. 030006052110210
Author(s):  
Hui Sun ◽  
Li Ma ◽  
Jie Chen
Keyword(s):  
Interaction Network ◽  
Maximal Clique ◽  
Receptor Expression ◽  
The Cancer Genome Atlas ◽  
Uterine Carcinosarcoma ◽  
Sequencing Data ◽  
Hub Genes ◽  
Protein Protein Interaction ◽  
Normal Tissues ◽  
Potential Biomarker

Objective Uterine carcinosarcoma (UCS) is a rare, aggressive tumour with a high metastasis rate and poor prognosis. This study aimed to explore potential key genes associated with the prognosis of UCS. Methods Transcriptional expression data were downloaded from the Gene Expression Profiling Interactive Analysis database and differentially expressed genes (DEGs) were subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses using Metascape. A protein–protein interaction network was constructed using the STRING website and Cytoscape software, and the top 30 genes obtained through the Maximal Clique Centrality algorithm were selected as hub genes. These hub genes were validated by clinicopathological and sequencing data for 56 patients with UCS from The Cancer Genome Atlas database. Results A total of 1894 DEGs were identified, and the top 30 genes were considered as hub genes. Hyaluronan-mediated motility receptor (HMMR) expression was significantly higher in UCS tissues compared with normal tissues, and elevated expression of HMMR was identified as an independent prognostic factor for shorter survival in patients with UCS. Conclusions These results suggest that HMMR may be a potential biomarker for predicting the prognosis of patients with UCS.

scholarly journals Enolase 1 Correlated With Cancer Progression and Immune-Infiltrating in Multiple Cancer Types: A Pan-Cancer Analysis

2021 ◽  
Vol 10 ◽  
Author(s):  
Wenhua Xu ◽  
Wenna Yang ◽  
Chunfeng Wu ◽  
Xiaocong Ma ◽  
Haoyu Li ◽  
...  
Keyword(s):  
Cancer Progression ◽  
Stress Protein ◽  
Enrichment Analysis ◽  
Tumor Stage ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Multiple Cancer ◽  
Clinical Prognosis ◽  
Multiple Tumor ◽  
Normal Tissues

Enolase 1 (ENO1) is an oxidative stress protein expressed in endothelial cells. This study aimed to investigate the correlation of ENO1 with prognosis, tumor stage, and levels of tumor-infiltrating immune cells in multiple cancers. ENO1 expression and its influence on tumor stage and clinical prognosis were analyzed by UCSC Xena browser, Gene Expression Profiling Interactive Analysis (GEPIA), The Cancer Genome Atlas (TCGA), and GTEx Portal. The ENO1 mutation analysis was performed by cBio Portal, and demonstrated ENO1 mutation (1.8%) did not impact on tumor prognosis. The relationship between ENO1 expression and tumor immunity was analyzed by Tumor Immune Estimation Resource (TIMER) and GEPIA. The potential functions of ENO1 in pathways were investigated by Gene Set Enrichment Analysis. ENO1 expression was significantly different in tumor and corresponding normal tissues. ENO1 expression in multiple tumor tissues correlated with prognosis and stage. ENO1 showed correlation with immune infiltrates including B cells, CD8+ and CD4+ T cells, macrophages, neutrophils, and dendritic cells, and tumor purity. ENO1 was proved to be involved in DNA replication, cell cycle, apoptosis, glycolysis process, and other processes. These findings indicate that ENO1 is a potential prognostic biomarker that correlates with cancer progression immune infiltration.

The Clinical Significance and Prognostic Value of HER2 Expression in Bladder Cancer: a Systematic Review and Meta-analysis

2020 ◽  
Author(s):  
Kai Gan ◽  
Yue Gao ◽  
KuangZheng Liu ◽  
Bin Xu ◽  
Ming Chen
Keyword(s):  
Bladder Cancer ◽  
Clinical Significance ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Growth Factor Receptor ◽  
Tumor Stage ◽  
The Cancer Genome Atlas ◽  
Her2 Expression ◽  
Large Tumor ◽  
Normal Tissues

Abstract Objective: Human Epidermal Growth Factor Receptor 2 (HER2) is highly expressed in a variety of tumors and associated with patients’ prognosis, but its role in bladder cancer remains unclear. We conducted this meta-analysis to explore the clinical significance and prognostic value of HER2 in bladder cancer and its potentiality as an immunotherapy target.Methods: PubMed was searched for studies published between January 1, 2000 and January 1, 2020. The odds ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (95%CIs) were used to investigate the relationship between HER2 and bladder cancer. UALCAN website was used to obtain TCGA (The cancer genome atlas) database.Results: Our study includes 14 articles, 1398 patients. HER2 expression was significantly higher in bladder cancer than in normal tissues. Our meta-analysis results did not reveal any effect of gender on the expression of HER2 levels in bladder cancer patients. However, HER2 expression in male patients was significantly higher than that in women according to TCGA databases. HER2 expression was also associated with carcinoma in situ, multifocal tumors, large tumor size, high tumor stage and grade, lymph node metastases, risk of recurrence and progression, low recurrence-free survival (RFS) rate. HER2 expression status had no effect on overall survival.Conclusions: Our meta-analysis showed that HER2 expression was related to pathological malignancy and poor prognosis in bladder cancer which indicated that it could be used as an effective biomarker and therapeutic target.

scholarly journals Profiles of autophagy-related genes in esophageal adenocarcinoma

2020 ◽  
Author(s):  
Lei Zhu ◽  
Lin Dong ◽  
Fugui Yang ◽  
Qinchuan Li
Keyword(s):  
Risk Factors ◽  
Esophageal Adenocarcinoma ◽  
Risk Score ◽  
Cox Regression ◽  
Roc Curves ◽  
Tumor Stage ◽  
Survival Status ◽  
Normal Tissues ◽  
Independent Risk Factors ◽  
Prognostic Risk Factors

Abstract Background: Several studies have demonstrated autophagy was involved in the process of esophageal adenocarcinoma (EAC). The aim of this study was to explore autophagy-related genes (ARGs) correlated with overall survival (OS) in EAC patients. Methods: Expressions of ARGs in EAC and normal samples were downloaded from TCGA database. GO and KEGG enrichment analyses were used to investigate the ARGs bioinformatics functions. Univariate and multivariate cox regressions were performed to identify prognostic ARGs and the independent risk factors. ROC curve was established to evaluate the feasibility to predict the prognosis. Finally, the correlations between ARGs and clinical features were further explored. Results: Thirty significantly different ARGs were selected from EAC and normal tissues. Functional enrichments showed these ARGs were mainly related apoptosis. Multivariate cox regression analyses demonstrated eight ARGs were significantly associated with OS. Among these eight genes, BECN1 (HR=0.321, P=0.046), DAPK1 (HR=0.636, P=0.025) and CAPN1 (HR=0.395, P=0.004) played protective roles in survival. Gender (HR=0.225, P=0.032), stage (HR=5.841, P=0.008) and risk score (HR=1.131, P＜0.001) were independent prognostic risk factors. ROC curves showed better efficacy to predict survival using the risk score. Additionally, we found BECN1, DAPK1, VAMP7 and SIRT1 genes were correlated significantly with survival status, gender, primary tumor and tumor stage (all P ＜0.05). Conclusion: Our findings suggested that autophagy was involved in the process of EAC. Several ARGs probably could serve as diagnostic and prognostic biomarkers and may help facilitate therapeutic targets in EAC patients.

scholarly journals Profiles of autophagy-related genes in esophageal adenocarcinoma

2020 ◽  
Author(s):  
Lei Zhu ◽  
Lin Dong ◽  
Minghao Feng ◽  
Fugui Yang ◽  
Wenhao Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Esophageal Adenocarcinoma ◽  
Risk Score ◽  
Cox Regression ◽  
Roc Curves ◽  
Tumor Stage ◽  
Survival Status ◽  
Normal Tissues ◽  
Mucosal Tissues ◽  
Independent Risk Factors

Abstract Background: Several studies have demonstrated autophagy was involved in the process of esophageal adenocarcinoma (EAC). The aim of this study was to explore autophagy-related genes (ARGs) correlated with overall survival (OS) in EAC patients. Methods: Expressions of ARGs in EAC and normal samples were downloaded from TCGA database. GO and KEGG enrichment analyses were used to investigate the ARGs bioinformatics functions. Univariate and multivariate cox regressions were performed to identify prognostic ARGs and the independent risk factors. ROC curve was established to evaluate the feasibility to predict the prognosis. Finally, the correlations between ARGs and clinical features were further explored. In addition， significantly different ARGs were verified in EAC specimens and normal esophageal mucosal tissues. Results: Thirty significantly different ARGs were selected from EAC and normal tissues. Functional enrichments showed these ARGs were mainly related apoptosis. Multivariate cox regression analyses demonstrated eight ARGs were significantly associated with OS. Among these eight genes, BECN1 (HR=0.321, P=0.046), DAPK1 (HR=0.636, P=0.025) and CAPN1 (HR=0.395, P=0.004) played protective roles in survival. Gender (HR=0.225, P=0.032), stage (HR=5.841, P=0.008) and risk score (HR=1.131, P＜0.001) were independent prognostic risk factors. ROC curves showed better efficacy to predict survival using the risk score. Additionally, we found BECN1, DAPK1, VAMP7 and SIRT1 genes were correlated significantly with survival status, gender, primary tumor and tumor stage (all P ＜0.05). The experimental results confirmed the BIRC5 was overexpressed and the ITPR1, PRKN were downregulated in the EAC tissues compared with the normal esophageal mucosal tissues (all P＜0.05). Conclusion: Our findings suggested that autophagy was involved in the process of EAC. Several ARGs probably could serve as diagnostic and prognostic biomarkers and may help facilitate therapeutic targets in EAC patients.

scholarly journals Profiles of autophagy-related genes in esophageal adenocarcinoma

2020 ◽  
Author(s):  
Lei Zhu ◽  
Lin Dong ◽  
Minghao Feng ◽  
Fugui Yang ◽  
Wenhao Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Esophageal Adenocarcinoma ◽  
Risk Score ◽  
Cox Regression ◽  
Roc Curves ◽  
Tumor Stage ◽  
Survival Status ◽  
Normal Tissues ◽  
Mucosal Tissues ◽  
Independent Risk Factors

Abstract Background: Several studies have demonstrated autophagy was involved in the process of esophageal adenocarcinoma (EAC). The aim of this study was to explore autophagy-related genes (ARGs) correlated with overall survival (OS) in EAC patients.Methods: Expressions of ARGs in EAC and normal samples were downloaded from TCGA database. GO and KEGG enrichment analyses were used to investigate the ARGs bioinformatics functions. Univariate and multivariate cox regressions were performed to identify prognostic ARGs and the independent risk factors. ROC curve was established to evaluate the feasibility to predict the prognosis. Finally, the correlations between ARGs and clinical features were further explored. In addition， significantly different ARGs were verified in EAC specimens and normal esophageal mucosal tissues.Results: Thirty significantly different ARGs were selected from EAC and normal tissues. Functional enrichments showed these ARGs were mainly related apoptosis. Multivariate cox regression analyses demonstrated eight ARGs were significantly associated with OS. Among these eight genes, BECN1 (HR=0.321, P=0.046), DAPK1 (HR=0.636, P=0.025) and CAPN1 (HR=0.395, P=0.004) played protective roles in survival. Gender (HR=0.225, P=0.032), stage (HR=5.841, P=0.008) and risk score (HR=1.131, P＜0.001) were independent prognostic risk factors. ROC curves showed better efficacy to predict survival using the risk score. Additionally, we found BECN1, DAPK1, VAMP7 and SIRT1 genes were correlated significantly with survival status, gender, primary tumor and tumor stage (all P ＜0.05). The experimental results confirmed the BIRC5 was overexpressed and the ITPR1, PRKN were downregulated in the EAC tissues compared with the normal esophageal mucosal tissues (all P＜0.05).Conclusion: Our findings suggested that autophagy was involved in the process of EAC. Several ARGs probably could serve as diagnostic and prognostic biomarkers and may help facilitate therapeutic targets in EAC patients.

scholarly journals Profiles of autophagy-related genes in esophageal adenocarcinoma

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Lei Zhu ◽  
Lin Dong ◽  
Minghao Feng ◽  
Fugui Yang ◽  
Wenhao Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Esophageal Adenocarcinoma ◽  
Risk Score ◽  
Cox Regression ◽  
Roc Curves ◽  
Tumor Stage ◽  
Survival Status ◽  
Normal Tissues ◽  
Mucosal Tissues ◽  
Independent Risk Factors

Abstract Background Several studies have demonstrated autophagy was involved in the process of esophageal adenocarcinoma (EAC). The aim of this study was to explore autophagy-related genes (ARGs) correlated with overall survival (OS) in EAC patients. Methods Expressions of ARGs in EAC and normal samples were downloaded from TCGA database. GO and KEGG enrichment analyses were used to investigate the ARGs bioinformatics functions. Univariate and multivariate cox regressions were performed to identify prognostic ARGs and the independent risk factors. ROC curve was established to evaluate the feasibility to predict the prognosis. Finally, the correlations between ARGs and clinical features were further explored. In addition, significantly different ARGs were verified in EAC specimens and normal esophageal mucosal tissues. Results Thirty significantly different ARGs were selected from EAC and normal tissues. Functional enrichments showed these ARGs were mainly related apoptosis. Multivariate cox regression analyses demonstrated eight ARGs were significantly associated with OS. Among these eight genes, BECN1 (HR = 0.321, P = 0.046), DAPK1 (HR = 0.636, P = 0.025) and CAPN1 (HR = 0.395, P = 0.004) played protective roles in survival. Gender (HR = 0.225, P = 0.032), stage (HR = 5.841, P = 0.008) and risk score (HR = 1.131, P < 0.001) were independent prognostic risk factors. ROC curves showed better efficacy to predict survival using the risk score. Additionally, we found BECN1, DAPK1, VAMP7 and SIRT1 genes were correlated significantly with survival status, gender, primary tumor and tumor stage (all P < 0.05). The experimental results confirmed the BIRC5 was overexpressed and the ITPR1, PRKN were downregulated in the EAC tissues compared with the normal esophageal mucosal tissues (all P < 0.05). Conclusion Our findings suggested that autophagy was involved in the process of EAC. Several ARGs probably could serve as diagnostic and prognostic biomarkers and may help facilitate therapeutic targets in EAC patients.

scholarly journals The Landscape of Long Non-Coding RNA Dysregulation and Clinical Relevance in Muscle Invasive Bladder Urothelial Carcinoma

Cancers ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1919 ◽  
Author(s):  
Haotian Shen ◽  
Lindsay M. Wong ◽  
Wei Tse Li ◽  
Megan Chu ◽  
Rachel A. High ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Treatment Options ◽  
Differential Expression Analysis ◽  
The United States ◽  
The Cancer Genome Atlas ◽  
Sequencing Data ◽  
Normal Tissues ◽  
Non Coding Rna ◽  
Muscle Invasive ◽  
Almost All

Bladder cancer is one of the most common cancers in the United States, but few advancements in treatment options have occurred in the past few decades. This study aims to identify the most clinically relevant long non-coding RNAs (lncRNAs) to serve as potential biomarkers and treatment targets for muscle invasive bladder cancer (MIBC). Using RNA-sequencing data from 406 patients in The Cancer Genome Atlas (TCGA) database, we identified differentially expressed lncRNAs in MIBC vs. normal tissues. We then associated lncRNA expression with patient survival, clinical variables, oncogenic signatures, cancer- and immune-associated pathways, and genomic alterations. We identified a panel of 20 key lncRNAs that were most implicated in MIBC prognosis after differential expression analysis and prognostic correlations. Almost all lncRNAs we identified are correlated significantly with oncogenic processes. In conclusion, we discovered previously undescribed lncRNAs strongly implicated in the MIBC disease course that may be leveraged for diagnostic and treatment purposes in the future. Functional analysis of these lncRNAs may also reveal distinct mechanisms of bladder cancer carcinogenesis.

scholarly journals Characterizing the Cancer-Associated Microbiome with Small RNA Sequencing Data

2019 ◽  
Author(s):  
Wei-Hao Lee ◽  
Kai-Pu Chen ◽  
Kai Wang ◽  
Hsuan-Cheng Huang ◽  
Hsueh-Fen Juan
Keyword(s):  
Small Rna ◽  
The Cancer Genome Atlas ◽  
Small Rna Sequencing ◽  
Sequencing Data ◽  
Microbial Composition ◽  
Rna Sequences ◽  
Colon And Rectal Cancer ◽  
Microrna Sequencing ◽  
Cancer Genome Atlas ◽  
Inflammatory Immune Response

AbstractThe microbiome is recognized as a quasi-organ in the human body. In particular, the gut microbiome is correlated with immune function, metabolism, and tumorigenesis. When dysbiosis of the microbiome occurs, this variation may contribute to alterations in the microenvironment, potentially inducing an inflammatory immune response and providing a niche for neoplastic growth. However, there is limited evidence regarding the correlation and interaction between the microbiome and tumorigenesis. By utilizing microRNA sequencing data of patients with colon and rectal cancer from The Cancer Genome Atlas, we designed a novel analytical process to extract non-human small RNA sequences and align them with the microbial genome to obtain a comprehensive view of the cancer-associated microbiome. In the present study, we identified > 1000 genera among 630 colorectal samples and clustered these samples into three distinctive colorectal enterotypes. Each cluster has its own distinctive microbial composition and interactions. Furthermore, we found 12 genera from these clusters that are associated with cancer stages and revealed their putative functions. Our results indicate that the proposed analytical approach can effectively determine the cancer-associated microbiome. It may be readily applied to explore other types of cancer, in which specimens of the microbiome are difficult to collect.

scholarly journals Renal Carcinoma Is Associated With Increased Risk of Coronavirus Infections

2020 ◽  
Vol 7 ◽  
Author(s):  
Satyendra C. Tripathi ◽  
Vishwajit Deshmukh ◽  
Chad J. Creighton ◽  
Ashlesh Patil
Keyword(s):  
Protein Expression ◽  
Cancer Patients ◽  
Renal Carcinoma ◽  
Immune Cell ◽  
Current Knowledge ◽  
Tumor Stage ◽  
The Cancer Genome Atlas ◽  
Normal Tissues ◽  
Increased Risk ◽  
Gene And Protein Expression

Background: The current COVID-19 pandemic has affected most severely people with old age, or with comorbidities like hypertension, diabetes mellitus, and cancer. Cancer patients are twice more likely to contract the disease because of the malignancy or treatment-related immunosuppression; hence identification of the vulnerable population among these patients is essential.Method: We took a bioinformatics approach to analyze the gene and protein expression data of these coronavirus receptors (DPP4, ANPEP, ENPEP, TMPRSS2) in human normal and cancer tissues of multiple organs including the brain, liver, kidney, heart, lung, skin, GI tract, pancreas, endocrine tissues, and the reproductive organs. RNA-Seq data from The Cancer Genome Atlas (TCGA) and GTeX databases were used for extensive profiling analysis of these receptors across 9,736 tumors and 8,587 normal tissues comparing coronavirus receptors. Protein expression from immunohistochemistry data was assessed from The Human Protein Atlas database including 144 samples, corresponding to 48 different normal human tissue types, and 432 tumor samples from 216 different cancer patients. The correlations between immune cell infiltration, chemokine, and cytokines were investigated via Tumor Immune Estimation Resource (TIMER) and TCGA.Result: We found that among all, renal tumor and normal tissues exhibited increased levels of ACE2, DPP4, ANPEP, and ENPEP. Our results revealed that TMPRSS2 may not be the co-receptor for coronavirus infection in renal carcinoma patients. The other receptors DPP4, ANPEP, and ENPEP may act as the compensatory receptor proteins to help ACE2. The receptors' expression levels were variable in different tumor stage, molecular, and immune subtypes of renal carcinoma. Intriguingly, in clear cell renal cell carcinomas, coronavirus receptors were associated with high immune infiltration, markers of immunosuppression, and T cell exhaustion.Conclusion: Our study indicates that CoV receptors may play an important role in modulating the immune infiltrate and hence cellular immunity in renal carcinoma. As our current knowledge of pathogenic mechanisms will improve, it may help us in designing focused therapeutic approaches.

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