Autophagy and its role in gastric cancer

Cao, Yijing; Luo, Yichen; Zou, Juan; Ouyang, Jingping; Chen, Zhihong; Zeng, Xi; Ling, Hui; Zeng, Tiebing

doi:10.1016/j.cca.2018.11.028

Cited by 129 publications

(101 citation statements)

References 116 publications

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“…Critically, both the original biopsy core and relapse tumor cores were within the same TMA and stained together for each protein. These data are in line with current literature where radio and chemotherapy exposure (including cisplatin) has been shown to induce autophagy , mediated by the generation of ROS, endoplasmic reticulum stress, hypoxia, DNA damage and inflammatory signaling. These data suggest that an increase in autophagy presents an important mechanism of resistance and we propose this could be therapeutically targetable in pHGG.…”

Section: Autophagy Protein Expression In Phgg Patientssupporting

confidence: 92%

Modulating autophagy as a therapeutic strategy for the treatment of paediatric high‐grade glioma

et al. 2019

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Paediatric high‐grade gliomas (pHGG) represent a therapeutically challenging group of tumors. Despite decades of research, there has been minimal improvement in treatment and the clinical prognosis remains poor. Autophagy, a highly conserved process for recycling metabolic substrates is upregulated in pHGG, promoting tumor progression and evading cell death. There is significant crosstalk between autophagy and a plethora of critical cellular pathways, many of which are dysregulated in pHGG. The following article will discuss our current understanding of autophagy signaling in pHGG and the potential modulation of this network as a therapeutic target.

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Section: Autophagy Protein Expression In Phgg Patientssupporting

confidence: 92%

Modulating autophagy as a therapeutic strategy for the treatment of paediatric high‐grade glioma

et al. 2019

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“…79,80 Some studies have also shown that autophagy-related proteins, such as Beclin 1 (BECN1), microtubule-associated protein1 light chain 3 (MAP1-LC3), and p62/sequestosome 1 (SQSTM1) have an important prognostic value in gastric cancer, and act as a protective mechanism for tumor cells in chemotherapy, promoting drug resistance as well. [81][82][83] The therapeutic induction of autophagy is frequently attributed to reduced mTOR activity leading to autophagy de-repression, and this is most obvious with therapies targeted at inhibiting PI3K, AKT or indeed mTOR itself. In addition, autophagy is induced by conventional genotoxic agents, such as radiation or cisplatin, as a result of DNA damageinduced p53 activity.…”

Section: Change Of Autophagy Pathwaysmentioning

confidence: 99%

<p>A Review of Research Progress in Multidrug-Resistance Mechanisms in Gastric Cancer</p>

Ruan¹,

Liu²,

Tao³

et al. 2020

OTT

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Gastric cancer is one of the most common malignant tumors, and it is also one of the leading causes of cancer death worldwide. Because of its insidious symptoms and lack of early dictation screening, many cases of gastric cancer are at late stages which make it more complicated to cure. For these advanced-stage gastric cancers, combination therapy of surgery, chemotherapy, radiotherapy and target therapy would bring more benefit to the patients. However, the drug-resistance to the chemotherapy restricts its effect and might lead to treatment failure. In this review article, we discuss the mechanisms which have been found in recent years of drug resistance in gastric cancer. And we also want to find new approaches to counteract chemotherapy resistance and bring more benefits to the patients.

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“…There are two types of autophagy-related signaling pathways. One is mTOR-dependent pathways, such as the AMPK/mTOR and PI3K/Akt/mTOR pathways, and the other is non-mTOR dependent pathways, such as the p53 pathway [52]. The PI3K/AKT/mTOR pathway regulates many biological processes, including autophagy and is frequently activated in various human cancers [53].…”

Section: Discussionmentioning

confidence: 99%

Prognostic model based on autophagy-related lncRNAs in gastric cancer

Cheng¹,

Cao²,

Chen³

2020

Preprint

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Background: Gastric cancer (GC) is one of the most pravelent cancer in the world. Although increasing studies have indicated that autophagy-related long non-coding RNA (lncRNA) plays an essential role in the occurrence of GC, the prognosis of GC based on autophagy is still deficient.Method: Autophagy-related lncRNAs were obtained by using the correlation test with the autophagy-related gene. Data was downloaded from The Cancer Genome of Atlas stomach adenocarcinoma (TCGA-STAD) dataset. The prognostic autophagy-related lncRNAs significantly correlated with survival of TCGA-STAD dataset were obtained by using Kaplan-Meier and univariate Cox regression analysis. TCGA-STAD dataset was separated into a training set and a testing set randomly. The model was constructed based on the training set through the least absolute shrinkage and selection operator (LASSO) regression. The testing set and TCGA-STAD were used to validate the accuracy of the model. Every patient got a risk score (RS) and patients were separate into high-risk group and low-risk group due to the median RS. The prognostic network was built and the mRNAs in the system were analyzed through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. The signaling pathways that the differentially expressed genes (DEGs) between two types of risk group mainly participated in were distinguished through Gene Set Enrichment Analysis (GSEA). The individual’s survival rate was predicted through the nomogram.Results: 24 autophagy-related lncRNAs were found strongly associated with the survival of the TCGA-STAD dataset. Among them, 11 lncRNAs were selected to build the risk score model through LASSO regression. The multivariate Cox analysis showed that the RS could be an independent prognosis predictor. The Kaplan-Meier survival analysis and the Receiver Operating Characteristic (ROC) curve indicated the model had an excellent prediction effect. GO, and KEGG analysis revealed that the mRNAs in the prognostic network were mainly involved in the autophagy and ubiquitin-like protein ligase binding. GSEA analysis uncovered that the DEGs in high-risk group partially participated in the ECM receptor interaction and other signaling pathways.Conclusions: Our results indicated that the risk score model based on the autophagy-related lncRNAs performed well in the prediction of prognosis for patients with GC.

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Autophagy and its role in gastric cancer

Cited by 129 publications

References 116 publications

Modulating autophagy as a therapeutic strategy for the treatment of paediatric high‐grade glioma

Modulating autophagy as a therapeutic strategy for the treatment of paediatric high‐grade glioma

<p>A Review of Research Progress in Multidrug-Resistance Mechanisms in Gastric Cancer</p>

Prognostic model based on autophagy-related lncRNAs in gastric cancer

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