scholarly journals Early diagnostic potential of APC hypermethylation in esophageal cancer

2018 ◽  
Vol Volume 10 ◽  
pp. 181-198 ◽  
Author(s):  
Bujiang Wang ◽  
Haojun Song ◽  
Haizhong Jiang ◽  
Yangbo Fu ◽  
Xiaoyun Ding ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Diagnostic Potential ◽  
Early Diagnostic

scholarly journals Early diagnostic potential for hepatocellular carcinoma using the SELDI ProteinChip system

Hepatology ◽  
2007 ◽  
Vol 45 (4) ◽  
pp. 948-956 ◽  
Author(s):  
Shuji Kanmura ◽  
Hirofumi Uto ◽  
Kazunori Kusumoto ◽  
Yoichi Ishida ◽  
Satoru Hasuike ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Diagnostic Potential ◽  
Seldi Proteinchip ◽  
Early Diagnostic

scholarly journals Construction of a lncRNA-Associated ceRNA Network and Identification of A Potential Six-lncRNA Prognostic Signature for Esophageal Cancer

2020 ◽  
Author(s):  
Jun Hu ◽  
Fang Wang ◽  
Logen Liu ◽  
Wenfeng Ning
Keyword(s):  
Esophageal Cancer ◽  
Roc Curve ◽  
Cox Regression ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
Prognostic Signature ◽  
Roc Curve Analysis ◽  
Cerna Network ◽  
Diagnostic Potential ◽  
Robust Likelihood

Abstract BACKGROUND: Mounting evidence has shown that long noncoding RNAs (lncRNAs) can function as competing endogenous RNAs (ceRNAs) which participate in the initiation and progression of cancers. In the ceRNA network, lncRNAs, microRNAs (miRNAs) and mRNAs, communicate with and co-regulate each other. Rarely there is a systematic lncRNA-mediated ceRNA network and potential specific ceRNA pairs or triples of esophageal cancer (EC). In this study, we investigate the lncRNA-mediated ceRNA network in EC and screen the potential prognostic lncRNA biomarkers.METHODS: We obtained mRNA, miRNA, and lncRNA expression data and relevant clinical features on patients with EC from The Cancer Genome Atlas (TCGA), and used the edgR package to identify differentially expressed mRNAs, lncRNAs and miRNAs between EC samples and normal samples. The EC ceRNA network was constructed based on miRNA target prediction through the databases of miRcode, miRDB, miRTarBase and TargetScan. And then Pearson’s correlation analysis was adopted to identify co-expression mRNA-lncRNA pairs. Finally, the robust likelihood-based survival analysis and Cox regression models were used to identify prognosis-related lncRNAs, which was evaluated by Kaplan-Meier and receiver operating characteristic (ROC) curve analysis.RESULTS: A total of 3,200 mRNAs, 131 miRNAs and 1,338 lncRNAs were identified as significantly differentially expressed in EC, of which, 30 mRNAs, 15 lncRNAs, and 8 miRNAs were incorporated in the ceRNA network. According to the ceRNA network node degrees, lncRNA MAGI2-AS3, hsa-mir-93 and TGFBR2 were the key genes. Also, the ceRNA network revealed some important ceRNA pairs and triples, such as SNX29P2-TGFBR2 and MAGI2-AS-hsa-mir-143-COL1A1. Finally, we developed a six-lncRNA signature (ZNF341-AS1, AC130324.2, AC027271.1, AL591212.1, AL732314.4 and LOC105372352), with improved diagnostic potential for EC with the area under the ROC curve of 0.93.CONCLUSIONS: our present work sheds new light on the tumorigenesis roles of lncRNA-mediated ceRNA network in EC and identifies a six‐lncRNA model that could be used as candidate prognostic signature.

scholarly journals Construction of a lncRNA-associated ceRNA network and identification of a potential six-lncRNA prognostic signature for esophageal cancer

2019 ◽  
Author(s):  
Jun Hu ◽  
Fang Wang ◽  
Logen Liu ◽  
Ning Wenfeng
Keyword(s):  
Esophageal Cancer ◽  
Roc Curve ◽  
Cox Regression ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed ◽  
Prognostic Signature ◽  
Roc Curve Analysis ◽  
Cerna Network ◽  
Diagnostic Potential ◽  
Robust Likelihood

Abstract BACKGROUND: Mounting evidence has shown that long noncoding RNAs (lncRNAs) can function as competing endogenous RNAs (ceRNAs) which participate in the initiation and progression of cancers. In the ceRNA network, lncRNAs, microRNAs (miRNAs) and mRNAs, communicate with and co-regulate each other. Rarely there is a systematic lncRNA-mediated ceRNA network and potential specific ceRNA pairs or triples of esophageal cancer (EC). In this study, we investigate the lncRNA-mediated ceRNA network in EC and screen the potential prognostic lncRNA biomarkers. METHODS: We obtained mRNA, miRNA, and lncRNA expression data and relevant clinical features on patients with EC from The Cancer Genome Atlas (TCGA), and used the edgR package to identify differentially expressed mRNAs, lncRNAs and miRNAs between EC samples and normal samples. The EC ceRNA network was constructed based on miRNA target prediction through the databases of miRcode, miRDB, miRTarBase and TargetScan. And then Pearson’s correlation analysis was adopted to identify co-expression mRNA-lncRNA pairs. Finally, the robust likelihood-based survival analysis and Cox regression models were used to identify prognosis-related lncRNAs, which was evaluated by Kaplan-Meier and receiver operating characteristic (ROC) curve analysis. RESULTS: A total of 3,200 mRNAs, 131 miRNAs and 1,338 lncRNAs were identified as significantly differentially expressed in EC, of which, 30 mRNAs, 15 lncRNAs, and 8 miRNAs were incorporated in the ceRNA network. According to the ceRNA network node degrees, lncRNA MAGI2-AS3, hsa-mir-93 and TGFBR2 were the key genes. Also, the ceRNA network revealed some important ceRNA pairs and triples, such as SNX29P2-TGFBR2 and MAGI2-AS-hsa-mir-143-COL1A1. Finally, we developed a six-lncRNA signature (ZNF341-AS1, AC130324.2, AC027271.1, AL591212.1, AL732314.4 and LOC105372352), with improved diagnostic potential for EC with the area under the ROC curve of 0.93. CONCLUSIONS: our present work sheds new light on the tumorigenesis roles of lncRNA-mediated ceRNA network in EC and identifies a six‐lncRNA model that could be used as candidate prognostic signature.

Considerations in Dysphagia Management Following Esophagectomy

2016 ◽  
Vol 1 (13) ◽  
pp. 169-176
Author(s):  
Lisa M. Evangelista ◽  
James L. Coyle
Keyword(s):  
Esophageal Cancer ◽  
Minimally Invasive ◽  
Minimally Invasive Surgical Procedures ◽  
Esophageal Resection ◽  
Minimally Invasive Surgical ◽  
Operative Complications ◽  
Swallowing Difficulties ◽  
Epidemiological Impact ◽  
Invasive Techniques ◽  
Management Of Dysphagia

Esophageal cancer is the sixth leading cause of death from cancer worldwide. Esophageal resection is the mainstay treatment for cancers of the esophagus. While curative, surgical resection may result in swallowing difficulties that require intervention from speech-language pathologists (SLPs). Minimally invasive surgical procedures for esophageal resection have aimed to reduce morbidity and mortality associated with more invasive techniques. Both intra-operative and post-operative complications, regardless of the surgical approach, can result in dysphagia. This article will review the epidemiological impact of esophageal cancers, operative complications resulting in dysphagia, and clinical assessment and management of dysphagia pertinent to esophageal resection.

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