scholarly journals Prognostic Autophagy-Related Genes of Gastric Cancer Patients on Chemotherapy

2021 ◽  
Author(s):  
xiaolong Liu ◽  
Zhen Ma ◽  
Lei Zhang ◽  
Yang Yu ◽  
Maswikiti Ewetse Paul ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Regression Models ◽  
Risk Group ◽  
Chemotherapy Resistance ◽  
Estimation Method ◽  
High Risk Group ◽  
Chemotherapy Administration ◽  
Clinical Complications ◽  
Product Limit ◽  
Gastric Cancer Patients

Abstract Background Gastric cancer(GC) treated with fluorouracil and cisplatin can cause chemotherapy resistance, which is one of the most common postoperative clinical complications and leads to in poor prognosis. Methods The purpose of this study is to investigate the susceptibility of patients with GC after postoperative chemotherapy based on autophagy-related genes (ATGs). Under the background of TCGA database, for patients with GC undergoing and during chemotherapy,gene expression data was integrated and analyzed. Prognostic genes were screened based on univariate and various analysis regression models. Subjects were divided into two groups: high-risk group and low-risk group. Univariate and various analytical regression models were used to screen for prognostic genes. Median risk score was used for analysis. OS and DFS were evaluated by the product limit estimation method. Subject curve analysis is used to determine the accuracy of the forecast. We also have performed appropriate analysis and conducted some detailed assessments in our work. The differential expression of ATGs was mainly associated with chemotherapy resistance.Results After chemotherapy administration, we have screened 9 ATGs outcomes in the subjects and DFS and OS were precisely predicted by the model of GEO and TCGA databases.Conclusions 9 genes were established as prognostic markers to predict the relationship between ATGs and GC chemotherapy susceptibility, suggesting a better individualized treatment in clinical practice.

scholarly journals Prognostic Autophagy-Related Genes of Gastric Cancer Patients on Chemotherapy

2020 ◽  
Author(s):  
xiaolong Liu ◽  
Zhen Ma ◽  
Lei Zhang ◽  
Yang Yu ◽  
Maswikiti Ewetse Paul ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Chemotherapy Resistance ◽  
Risk Groups ◽  
Treatment Regimens ◽  
Chemotherapy Administration ◽  
Product Limit ◽  
The Subject ◽  
Gastric Cancer Patients ◽  
Gastric Malignancy ◽  
Proper Analysis

Abstract Background Chemotherapy resistance based on fluorouracil and cisplatin is one of the most encountered postoperative clinical problems in patients diagnosed with gastric cancer (GC), resulting in poor prognosis. Methods This study aimed to combine autophagy-related genes (ATGs) to investigate the susceptibility of victims with gastric malignancy to postoperative chemotherapy. Based on the TCGA database, gene expression data for GC patients undergoing and during chemotherapy were integrated and analyzed. Prognostic genes were screened based on univariate and various analysis regression models. Subjects were divided into high-risk and low-risk groups and analyzed by the median risk score approach. The product limit estimator method was used to evaluate the OS and DFS. The accuracy of the prediction was resolved by the subject curve analysis. In addition, proper analysis carrying out was done in our work for some detailed assessments. The differential expression of ATGs is mainly related to chemotherapy resistance. Results A total of 9 ATGs of chemotherapy administration outcomes in these suffers were screened. Based on GEO and TCGA databases, the model accurately predicted DFS and OS after chemotherapy administration. Conclusions This study established prognostic markers based on 9 genes, predicting that ATGs are related to chemotherapy susceptibility of GC patients, which can provide better individualized treatment regimens for clinical practice.

scholarly journals Prognostic Autophagy-Related Genes of Gastric Cancer Patients on Chemotherapy

2020 ◽  
Author(s):  
Xiaolong Liu ◽  
Zhen Ma ◽  
Yang Yu ◽  
Maswikiti Ewetse Paul ◽  
YanLin Ma ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Chemotherapy Resistance ◽  
Risk Groups ◽  
Treatment Regimens ◽  
Chemotherapy Administration ◽  
Post Operation ◽  
Product Limit ◽  
The Subject ◽  
Gastric Cancer Patients ◽  
Gastric Malignancy

Abstract Background, Chemotherapy resistance based on the use of fluorouracil and cisplatin is one of the most encountered clinical problems resulting from post operation and gives rise to poor prognosis in patients diagnosed with gastric cancer (GC). Methods , this study aims to combine autophagy-related genes (ATGs) to provide an investigation of the susceptibility of victims with gastric malignancy to postoperative chemotherapy. Based on the TCGA database, gene expression data for GC patients undergoing and are using chemotherapy were integrated and analyzed. Prognostic genes were screened based on univariate and various analysis regression models. Subjects were divided into those with high and low-risk groups. This was analyzed by the utilization of the median risk score approach. The product limit estimator method had to be used to evaluate the OS and DFS. The accuracy of the prediction was resolved by the subject curve analysis. In addition, the carrying out of proper analysis was done in our work for some detailed assessments. The differential expression of ATGs is mainly related to chemotherapy resistance. Results, a total of 9 ATGs of chemotherapy administration outcomes in these suffers were screened. Based on GEO and TCGA databases, the model accurately predicted DFS and OS after chemotherapy administration. Conclusions, this study established prognostic markers based on 9 genes, which can predict ATGs related to chemotherapy susceptibility of GC patients, and provide better individualized treatment regimens for clinical practice.

Helicobacter pylori Eradication Prevents Extension of Intestinalization Even in the High-Risk Group for Gastric Cancer

Digestion ◽  
2010 ◽  
Vol 81 (4) ◽  
pp. 223-230 ◽  
Author(s):  
Akiko Shiotani ◽  
Ryuji Nishi ◽  
Noriya Uedo ◽  
Hiroyasu Iishi ◽  
Hideaki Tsutsui ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Helicobacter Pylori ◽  
High Risk ◽  
Risk Group ◽  
High Risk Group ◽  
Helicobacter Pylori Eradication

scholarly journals Significance of Preoperative Systemic Immune Score for Stage I Gastric Cancer Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Jun Lu ◽  
Long-long Cao ◽  
Ping Li ◽  
Jian-wei Xie ◽  
Jia-bin Wang ◽  
...  
Keyword(s):  
Risk Group ◽  
High Risk Group ◽  
Stage I ◽  
Survival Analyses ◽  
Entire Cohort ◽  
Neutrophil Lymphocyte Ratio ◽  
Multivariate Survival ◽  
Gastric Cancer Patients ◽  
Immune Score

Background. Determining preferences regarding the benefits of adjuvant chemotherapy (AC) for stage I GC is critical. Methods. We retrospectively reviewed 1069 patients with pathologically confirmed stage I GC who underwent R0 gastrectomy between 2006 and 2014. Univariate and multivariate survival analyses were conducted. Systemic inflammation factors were used to develop a scoring system for predicting AC benefits. Results. With a median follow-up of 47 months (range 3–113 months), the 5-year overall survival (OS) rate was 90.5%. The patient score was 1 for either a pretreatment hypoalbuminemia or elevated derived neutrophil-lymphocyte ratio (dNLR) and was 0 otherwise. The SIS served as an independent prognostic factor for reduced OS. AC was delivered to 13.5% (144/1069) of all patients. Compared to surgery alone, AC had no significant effect on survival in both the entire cohort and the IA/IB subgroup. However, in the high-risk group (SIS = 2), patients with AC had a significantly better OS than those undergoing surgery alone. Conclusions. Patients with SIS = 2 may benefit from AC and thus may be considered candidates for adjuvant treatment. However, to confirm our findings, future prospective studies are warranted.

scholarly journals Screening for High-risk Group of Gastric Cancer by Using Barium Radiography is Useful in Okayama Prefecture Population-based Gastric Cancer Mass Screening

2017 ◽  
Vol 44 (5) ◽  
pp. 660-665
Author(s):  
Tomoari Kamada ◽  
Akihisa Nakashima ◽  
Takayuki Kimura ◽  
Akiyoshi Kurose ◽  
Hirohide Monnai ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
High Risk ◽  
Mass Screening ◽  
Risk Group ◽  
Population Based ◽  
High Risk Group ◽  
Okayama Prefecture

scholarly journals Construction on of a Ferroptosis-Related lncRNA-Based Model to Improve the Prognostic Evaluation of Gastric Cancer Patients Based on Bioinformatics

2021 ◽  
Vol 12 ◽  
Author(s):  
Jiahui Pan ◽  
Xinyue Zhang ◽  
Xuedong Fang ◽  
Zhuoyuan Xin
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Roc Curve ◽  
Cox Regression ◽  
Risk Group ◽  
Survival Curve ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Cox Regression Analysis ◽  
Gastric Cancer Patients

BackgroundGastric cancer is one of the most serious gastrointestinal malignancies with bad prognosis. Ferroptosis is an iron-dependent form of programmed cell death, which may affect the prognosis of gastric cancer patients. Long non-coding RNAs (lncRNAs) can affect the prognosis of cancer through regulating the ferroptosis process, which could be potential overall survival (OS) prediction factors for gastric cancer.MethodsFerroptosis-related lncRNA expression profiles and the clinicopathological and OS information were collected from The Cancer Genome Atlas (TCGA) and the FerrDb database. The differentially expressed ferroptosis-related lncRNAs were screened with the DESeq2 method. Through co-expression analysis and functional annotation, we then identified the associations between ferroptosis-related lncRNAs and the OS rates for gastric cancer patients. Using Cox regression analysis with the least absolute shrinkage and selection operator (LASSO) algorithm, we constructed a prognostic model based on 17 ferroptosis-related lncRNAs. We also evaluated the prognostic power of this model using Kaplan–Meier (K-M) survival curve analysis, receiver operating characteristic (ROC) curve analysis, and decision curve analysis (DCA).ResultsA ferroptosis-related “lncRNA–mRNA” co-expression network was constructed. Functional annotation revealed that the FOXO and HIF-1 signaling pathways were dysregulated, which might control the prognosis of gastric cancer patients. Then, a ferroptosis-related gastric cancer prognostic signature model including 17 lncRNAs was constructed. Based on the RiskScore calculated using this model, the patients were divided into a High-Risk group and a low-risk group. The K-M survival curve analysis revealed that the higher the RiskScore, the worse is the obtained prognosis. The ROC curve analysis showed that the area under the ROC curve (AUC) of our model is 0.751, which was better than those of other published models. The multivariate Cox regression analysis results showed that the lncRNA signature is an independent risk factor for the OS rates. Finally, using nomogram and DCA, we also observed a preferable clinical practicality potential for prognosis prediction of gastric cancer patients.ConclusionOur prognostic signature model based on 17 ferroptosis-related lncRNAs may improve the overall survival prediction in gastric cancer.

scholarly journals Determination of Additional Surgery after Non-Curative Endoscopic Submucosal Dissection in Patients with Early Gastric Cancer: A Practically Modified Application of the eCura System

Cancers ◽  
2021 ◽  
Vol 13 (22) ◽  
pp. 5768
Author(s):  
Sejin Lee ◽  
Jeong Ho Song ◽  
Sung Hyun Park ◽  
Minah Cho ◽  
Yoo Min Kim ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
High Risk ◽  
Endoscopic Submucosal Dissection ◽  
Treatment Guidelines ◽  
Risk Group ◽  
Venous Invasion ◽  
High Risk Group ◽  
Submucosal Dissection ◽  
Additional Surgery

Background: Additional surgery after non-curative endoscopic submucosal dissection (ESD) may be excessive as few patients have lymph node metastasis (LNM). It is necessary to develop a risk stratification system for LNM after non-curative ESD, such as the eCura system, which was introduced in the Japanese gastric cancer treatment guidelines. However, the eCura system requires venous and lymphatic invasion to be separately assessed, which is difficult to distinguish without special immunostaining. In this study, we practically modified the eCura system by classifying lymphatic and venous invasion as lymphovascular invasion (LVI). Method: We retrospectively reviewed 543 gastric cancer patients who underwent radical gastrectomy after non-curative ESD between 2006 and 2019. LNM was evaluated according to LVI as well as size >30 mm, submucosal invasion ≥500 µm, and vertical margin involvement, which were used in the eCura system. Results: LNM was present in 8.1% of patients; 3.6%, 2.3%, 7.4%, 18.3%, and 61.5% of patients with no, one, two, three, and four risk factors had LNM, respectively. The LNM rate in the patients with no risk factors (3.6%) was not significantly different from that in patients with one risk factor (2.3%, p = 0.523). Among patients with two risk factors, the LNM rate without LVI was significantly lower than with LVI (2.4% vs. 10.7%, p = 0.027). Among patients with three risk factors, the LNM rate without LVI was lower than with LVI (0% vs. 20.8%, p = 0.195), although not statistically significantly. Based on LNM rates according to risk factors, patients with LVI and other factors were assigned to the high-risk group (LNM, 17.4%) while other patients as a low-risk group (LNM, 2.4%). Conclusions: Modifying the eCura system by classifying lymphatic and venous invasion as LVI successfully stratified LNM risk after non-curative ESD. Moreover, the high-risk group can be simply identified based on LVI and the presence of other risk factors.

scholarly journals Prognostic Autophagy-Related Model Revealed by Integrating Single-Cell RNA Sequencing Data and Bulk Gene Profiles in Gastric Cancer

2022 ◽  
Vol 9 ◽  
Author(s):  
Tianying Tong ◽  
Jie Zhang ◽  
Xiaoqiang Zhu ◽  
Pingping Hui ◽  
Zhimin Wang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
High Risk ◽  
Single Cell ◽  
Rna Sequencing ◽  
Immune Checkpoint ◽  
Risk Model ◽  
Risk Group ◽  
High Risk Group ◽  
Related Model ◽  
Single Cell Rna Sequencing

Autophagy has been associated with tumor progression, prognosis, and treatment response. However, an autophagy-related model and their clinical significance have not yet been fully elucidated. In the present study, through the integrative analysis of bulk RNA sequencing and single-cell RNA sequencing, an autophagy-related risk model was identified. The model was capable of distinguishing the worse prognosis of patients with gastric cancer (GC), which was validated in TCGA and two independent Gene Expression Omnibus cohorts utilizing the survival analysis, and was also independent of other clinical covariates evaluated by multivariable Cox regression. The clinical value of this model was further assessed using a receiver operating characteristic (ROC) and nomogram analysis. Investigation of single-cell RNA sequencing uncovered that this model might act as an indicator of the dysfunctional characteristics of T cells in the high-risk group. Moreover, the high-risk group exhibited the lower expression of immune checkpoint markers (PDCD1 and CTLA4) than the low-risk group, which indicated the potential predictive power to the current immunotherapy response in patients with GC. In conclusion, this autophagy-associated risk model may be a useful tool for prognostic evaluation and will facilitate the potential application of this model as an indicator of the predictive immune checkpoint biomarkers.

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