Development and Validation of a Mucosal Impedance Contour Analysis System to Distinguish Esophageal Disorders

Patel, Dhyanesh A.; Higginbotham, Tina; Slaughter, James C.; Aslam, Muhammad; Yüksel, Elif Sarıtaş; Katzka, David A.; Gyawali, C. Prakash; Mashi, Melina; Pandolfino, John E.; Vaezi, Michael F.

doi:10.1053/j.gastro.2019.01.253

Cited by 71 publications

(58 citation statements)

References 53 publications

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“…The limma package is an excellent analytical statistical tool for differential expression analysis of gene expression chip data. ROC curves were used to assess the diagnostic effect of all differentially expressed lncRNAs in breast cancer (Patel et al, 2019). ROC curves were plotted based on the expression value of each core lncRNA and the type of samples (either breast cancer tissue or non-cancerous breast tissue).…”

Section: Methodsmentioning

confidence: 99%

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Integrative transcriptome data mining for identification of core lncRNAs in breast cancer

Zhang

Zhuang

Liu

et al. 2019

PeerJ

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Background Cumulative evidence suggests that long non-coding RNAs (lncRNAs) play an important role in tumorigenesis. This study aims to identify lncRNAs that can serve as new biomarkers for breast cancer diagnosis or screening. Methods First, the linear fitting method was used to identify differentially expressed genes from the breast cancer RNA expression profiles in The Cancer Genome Atlas (TCGA). Next, the diagnostic value of all differentially expressed lncRNAs was evaluated using a receiver operating characteristic (ROC) curve. Then, the top ten lncRNAs with the highest diagnostic value were selected as core genes for clinical characteristics and prognosis analysis. Furthermore, core lncRNA-mRNA co-expression networks based on weighted gene co-expression network analysis (WGCNA) were constructed, and functional enrichment analysis was performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID). The differential expression level and diagnostic value of core lncRNAs were further evaluated by using independent data set from Gene Expression Omnibus (GEO). Finally, the expression status and prognostic value of core lncRNAs in various tumors were analyzed based on Gene Expression Profiling Interactive Analysis (GEPIA). Results Seven core lncRNAs (LINC00478, PGM5-AS1, AL035610.1, MIR143HG, RP11-175K6.1, AC005550.4, and MIR497HG) have good single-factor diagnostic value for breast cancer. AC093850.2 has a prognostic value for breast cancer. AC005550.4 and MIR497HG can better distinguish breast cancer patients in early-stage from the advanced-stage. Low expression of MAGI2-AS3, LINC00478, AL035610.1, MIR143HG, and MIR145 may be associated with lymph node metastasis in breast cancer. Conclusion Our study provides candidate biomarkers for the diagnosis and prognosis of breast cancer, as well as a bioinformatics basis for the further elucidation of the molecular pathological mechanism of breast cancer.

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Section: Methodsmentioning

confidence: 99%

“…ROC curves were used to assess the diagnostic effect of core lncRNAs in breast cancer. Patel et al (2019). AUC is the area under the curve of the ROC curve.…”

Section: Methodsmentioning

confidence: 99%

Integrative transcriptome data mining for identification of core lncRNAs in breast cancer

Zhang

Zhuang

Liu

et al. 2019

PeerJ

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“…49 This tool has been validated to detect changes in mucosal integrity that can help distinguish patients with gastroesophageal reflux disease (GERD), EoE, or neither. 50 Mucosal impedance measurements have been shown to correlate inversely with eosinophil counts and DIS in a pattern that differentiates EoE from GERD. 51 This tool has been validated in pediatrics, with lower resistance in patients with active EoE compared with inactive EoE, GERD, or controls.…”

Section: Evaluation Of the Epithelial Integritymentioning

confidence: 99%

EoE disease monitoring

Godwin

Muir

2020

Annals of Allergy, Asthma & Immunology

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The burden of endoscopy in eosinophilic esophagitis (EoE) is great, with many patients undergoing multiple endoscopies to verify treatment success. The gold standard for monitoring disease activity EoE is histologic evaluation and eosinophil enumeration. Although symptoms have been less reliable to track disease activity, multiple noninvasive methodologies are being investigated to sample the esophageal tissue. A better understanding of disease phenotype, genotype, and transcriptome may lead to more personalized approaches to diagnostics and therapeutics in EoE.

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“…4). 121 Baseline impedance values recorded via ambulatory pH-impedance monitoring are obtained in the nocturnal period during sleep to avoid interference from frequent swallows and reflux events during the day. To simplify recordings, baseline impedance levels are obtained from the most distal channel (3 cm above the manometrically defined LES) during the overnight rest over three 10-min periods spaced an hour apart (1:00, 2:00, and 3:00 AM) 107 (Fig.…”

Section: Ambulatory Reflux Monitoringmentioning

confidence: 99%

Diagnosis of gastroesophageal reflux: an update on current and emerging modalities

Ang

Lee

Clarke

et al. 2020

Annals of the New York Academy of Sciences

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Gastroesophageal reflux disease (GERD) is a common condition characterized by troublesome symptoms or esophageal mucosal lesions attributed to excessive esophageal acid exposure. Various pathophysiological mechanisms account for GERD, including impaired esophageal peristalsis and anatomical or physiological defects at the esophagogastric junction (EGJ). Endoscopy identifies GERD complications and detects potential alternative diagnoses. However, if symptoms persist despite proton pump inhibitor therapy, functional esophageal tests are useful to characterize reflux burden and define the symptom association profile. Ambulatory pH or pH‐impedance monitoring measures the 24‐h acid exposure time, which remains the most reproducible reflux metric and predicts response to antireflux therapy. Apart from identifying peristaltic dysfunction, esophageal high‐resolution manometry defines the morphology and contractile vigor (EGJ‐CI) of the EGJ. Novel metrics obtained from pH‐impedance monitoring include the postreflux swallow–induced peristaltic wave index and mean nocturnal baseline impedance, which augment the diagnostic value of pH‐impedance testing. Mucosal impedance can also be recorded using a probe inserted through a gastroscope, or a novel balloon catheter with arrays of impedance electrodes inserted following sedated endoscopy. The latest developments in functional esophageal tests define the GERD phenotype based on pathogenesis, reflux exposure, structural or motility disorders, and symptom burden, facilitating appropriate treatment.

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Development and Validation of a Mucosal Impedance Contour Analysis System to Distinguish Esophageal Disorders

Cited by 71 publications

References 53 publications

Integrative transcriptome data mining for identification of core lncRNAs in breast cancer

Integrative transcriptome data mining for identification of core lncRNAs in breast cancer

EoE disease monitoring

Diagnosis of gastroesophageal reflux: an update on current and emerging modalities

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