Endoscopic Screening in Asian Countries Is Associated With Reduced Gastric Cancer Mortality: A Meta-analysis and Systematic Review

Zhang, Xing; Li, Meng; Chen, Shuntai; Hu, Jiaqi; Guo, Qiujun; Li, Rui; Zheng, Hongliang; Jin, Zhichao; Yuan, Yuan; Xi, Yupeng

doi:10.1053/j.gastro.2018.04.026

Cited by 217 publications

(170 citation statements)

References 103 publications

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“…GC has high reoccurrence even after combined treatments and it is a serious health thread (23). Multiple factors are involved in the tumorigenesis and progression of GC, including tumor suppressor gene inactivation, oncogene overexpression, tumor microenvironment remodeling, lifestyle, environmental factors and others (1,24).…”

Section: Discussionmentioning

confidence: 99%

Integrated profiling identifies SLC5A6 and MFAP2 as novel diagnostic and prognostic biomarkers in gastric cancer patients

et al. 2019

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Gastric cancer (GC) is one of the leading causes of malignancy-associated mortality worldwide. However, the underlying molecular mechanisms of GC are unclear and the prognosis of GC is poor. Therefore, it is important and urgent to explore the underlying mechanisms and screen for novel diagnostic and prognostic biomarkers, as well as therapeutic targets. In the current study, scale-free gene co-expression networks were constructed using weighted gene co-expression network analysis, the potential associations between gene sets and clinical features were investigated, and the hub genes were identified. The gene expression profiles of GSE38749 were downloaded from the Gene Expression Omnibus database. RNA-seq and clinical data for GC from The Cancer Genome Atlas were utilized for verification. Furthermore, the expression of candidate biomarkers in gastric tissues was investigated. Survival analysis was performed using Kaplan-Meier and log-rank test. The predictive role of candidate biomarkers in GC was evaluated using a receiver operator characteristic (ROC) curve. Gene Ontology, gene set enrichment analysis and gene set variation analysis methods were used to interpret the function of candidate biomarkers in GC. A total of 29 modules were identified via the average linkage hierarchical clustering. A significant module consisting of 48 genes associated with clinical traits was found; three genes with high connectivity in the clinical significant module were identified as hub genes. Among them, SLC5A6 and microfibril-associated protein 2 (MFAP2) were negatively associated with the overall survival, and their expression was elevated in GC compared with non-tumor tissues. Additionally, ROC curves indicated that SLC5A6 and MFAP2 showed a good diagnostic power in discriminating cancerous from normal tissues. SLC5A6 and MFAP2 were identified as novel diagnostic and prognostic biomarkers in GC patients; both of these genes were first reported here in connection with GC and deserved further research.

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Section: Discussionmentioning

confidence: 99%

Integrated profiling identifies SLC5A6 and MFAP2 as novel diagnostic and prognostic biomarkers in gastric cancer patients

et al. 2019

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“…Por todo lo anteriormente expuesto, es que resulta fundamental comunicar y desarrollar las herramientas de estratificación de riesgo de CG que como núcleo concentran la comprensión y tratamiento de las LPG. Es así como en una RS reciente realizada a partir de estudios asiáticos, se concluyó que la detección endoscópica puede reducir el riesgo de muerte por CG, sin afectar la incidencia (Zhang et al, 2018). Int.…”

Section: Discussionunclassified

Morfología y Repercusiones Diagnóstico-Terapéuticas de las Lesiones Preneoplásicas Gástricas

Sotelo

Manterola

2019

Int. J. Morphol.

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RESUMEN: El carcinoma gástrico (CG) de tipo intestinal se origina en un epitelio displásico, que a su vez se desarrolla en medio de una atrofia gástrica (AG) y metaplasia intestinal (MI). La infección por Helicobacter pylori (HP) es la causa más frecuente de AG, causando una pangastritis atrófica multifocal. Entre otras condiciones que producen inflamación crónica de la mucosa gástrica se encuentran también la gastritis autoinmune y la anemia perniciosa. El marco conceptual sobre el cual descansa gran parte de la investigación actual y nuestra comprensión de los cambios que ocurren en la mucosa gástrica se debe a la denominada "cascada de Correa"; quien planteó que la mucosa gástrica crónicamente inflamada, da paso a la AG, que va adquiriendo focos de MI y en dicho epitelio se desarrollará finalmente una displasia (DIS). Se ha acuñado el término lesiones preneoplásicas gástricas (LPG), para referirse a: AG, MI y DIS.Después de la erradicación de HP, se ha demostrado una reducción general de la incidencia de CG; efecto que no es tan claro, cuando la pangastritis por HP ha evolucionado a AG extensa. De tal modo que el efecto de la erradicación de HP medido a través de EC, ha sido poco consistente. La AG grave diagnosticada por histología representa la condición de mayor riesgo. Por otra parte, la MI puede ser de tipo intestinal (delgado-entérica ó incompleta) y la colónica (colónica ó completa) considerándose a esta última, como la variedad de peor pronóstico. El diagnóstico histológico de este tipo de lesiones determina que quien las padece, debe someterse a vigilancia endoscópica. El objetivo de este manuscrito fue resumir la evidencia existente respecto de las LPG, en términos de su caracterización morfológica y sus repercusiones diagnóstico-terapéuticas (significado patológico, graduación del riesgo, vigilancia recomendada; y factores de riesgo).

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“…Each sample is a text record composed of an endoscopy report and a pathological examination report of the same patient integrated by the “Patient ID.” Each sample has a binary label representing whether the patient was diagnosed with gastric cancer. The labels were generated based on pathological examination reports because pathological screening results are usually considered the gold standard in clinical practice (Sakurai et al ; Zhang et al, ). The initial raw data passed through several stages of cleaning and processing to the final analysis‐ready dataset.…”

Section: Methodsmentioning

confidence: 99%

Endoscopy report mining for intelligent gastric cancer screening

et al. 2019

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Endoscopy is an important tool for gastric cancer screening. Due to the lack of effective decision support system for endoscopy, the detection of gastric cancer in the clinic is usually with low sensitivity. In this paper, we propose a Genetic Algorithm optimized Neural Network (GAoNN) approach for gastric cancer detection based on endoscopy reports mining. Considering the fact that gastric cancer sensitivity can significantly improve the 5‐year survival rate of patients, both the prediction accuracy and the sensitivity are employed to construct a multiobjective optimization model for enhancing the classification performance of GAoNN. In particular, we extended an effective genetic algorithm Nondominated Sorting Genetic Algorithm II (NSGA‐II) to train a neural network and reduced the complexity in training hyperparameters and improved the efficiency by substituting the computationally intensive stochastic gradient descent (SGD) algorithm in a neural network. Specifically, we designed the novel crossover and mutation operators and modified the nondominated ranking and crowding distance sorting procedures in NSGA‐II for GAoNN. Through testing on 8,546 real‐world endoscopy reports, we show that GAoNN achieves a prediction accuracy up to 83.74%, which is better than several competitors by significantly increasing sensitivity to 83.14%. GAoNN also reduces the training time by 30.94% when compared with conventional SGD‐based training, which indicates the feasibility of GAoNN in clinical practice.

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Endoscopic Screening in Asian Countries Is Associated With Reduced Gastric Cancer Mortality: A Meta-analysis and Systematic Review

Abstract: In a systematic review and meta-analysis, we found that endoscopic screening may reduce the risk of death from gastric cancer and not affect incidence in Asian countries. Population-based prospective cohort studies are warranted to confirm our findings.

Cited by 217 publications

References 103 publications

Integrated profiling identifies SLC5A6 and MFAP2 as novel diagnostic and prognostic biomarkers in gastric cancer patients

Integrated profiling identifies SLC5A6 and MFAP2 as novel diagnostic and prognostic biomarkers in gastric cancer patients

Morfología y Repercusiones Diagnóstico-Terapéuticas de las Lesiones Preneoplásicas Gástricas

Endoscopy report mining for intelligent gastric cancer screening

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