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• W3133163077 abstract "Background: Autophagy plays a vital role in cancer initiation, malignant progression, and resistance to treatment. However, autophagy-related genes (ARGs) have rarely been analyzed in gastric cancer (GC). The purpose of this study was to analyze ARGs in GC using bioinformatic analysis and to identify new biomarkers for predicting the overall survival (OS) of patients with GC. Methods: The gene expression profiles and clinical data of patients with GC were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets, and ARGs were obtained from two other datasets (the Human Autophagy Database and Molecular Signatures Database). Lasso, univariate, and multivariate Cox regression analyses were performed to identify the OS-related ARGs. Finally, a six-ARG model was identified as a prognostic indicator using the risk-score model, and survival and prognostic performance were analyzed based on the Kaplan-Meier test and ROC curve. Estimate calculations were used to assess the immune status of this model, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were employed for investigating the functions and terms associated with the model-related genes in GC. Results: The six ARGs, DYNLL1 , PGK2 , HPR , PLOD2 , PHYHIP , and CXCR4 , were identified using Lasso and Cox regression analyses. Survival analysis revealed that the OS of GC patients in the high-risk group was significantly lower than that of the low-risk group ( p &lt; 0.05). The ROC curves revealed that the risk score model exhibited better prognostic performance with respect to OS. Multivariate Cox regression analysis indicated that the model was an independent predictor of OS and was not affected by most of the clinical traits ( p &lt; 0.05). The model-related genes were associated with immune suppression and several biological process terms, such as extracellular structure organization and matrix organization. Moreover, the genes were associated with the P13K-Akt signaling pathway, focal adhesion, and MAPK signaling pathway. Conclusions: This study presents potential prognostic biomarkers for GC patients that would aid in determining the best patient-specific course of treatment." @default.
• W3133163077 created "2021-03-01" @default.
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• W3133163077 date "2021-02-22" @default.
• W3133163077 modified "2023-10-16" @default.
• W3133163077 title "A Novel Six-Gene-Based Prognostic Model Predicts Survival and Clinical Risk Score for Gastric Cancer" @default.
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• W3133163077 cites W1863618180 @default.
• W3133163077 cites W1975834123 @default.
• W3133163077 cites W1983384797 @default.
• W3133163077 cites W1985124617 @default.
• W3133163077 cites W1986989569 @default.
• W3133163077 cites W1990002717 @default.
• W3133163077 cites W2000137191 @default.
• W3133163077 cites W2001782090 @default.
• W3133163077 cites W2005117785 @default.
• W3133163077 cites W2008781963 @default.
• W3133163077 cites W2015015587 @default.
• W3133163077 cites W2019542101 @default.
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• W3133163077 cites W2051929083 @default.
• W3133163077 cites W2055671617 @default.
• W3133163077 cites W2064073012 @default.
• W3133163077 cites W2072019190 @default.
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• W3133163077 cites W2084946596 @default.
• W3133163077 cites W2090324075 @default.
• W3133163077 cites W2102526923 @default.
• W3133163077 cites W2107854808 @default.
• W3133163077 cites W2108104027 @default.
• W3133163077 cites W2132566055 @default.
• W3133163077 cites W2147120223 @default.
• W3133163077 cites W2153845297 @default.
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• W3133163077 cites W2184867100 @default.
• W3133163077 cites W2207537447 @default.
• W3133163077 cites W2209490988 @default.
• W3133163077 cites W2272984102 @default.
• W3133163077 cites W2300543067 @default.
• W3133163077 cites W2315925646 @default.
• W3133163077 cites W2320102447 @default.
• W3133163077 cites W2428564903 @default.
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• W3133163077 cites W2611224317 @default.
• W3133163077 cites W2613352478 @default.
• W3133163077 cites W2618396260 @default.
• W3133163077 cites W2619275983 @default.
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• W3133163077 cites W2760924111 @default.
• W3133163077 cites W2766612379 @default.
• W3133163077 cites W2795054550 @default.
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• W3133163077 doi "https://doi.org/10.3389/fgene.2021.615834" @default.
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