scholarly journals Eleven immune-gene pairs signature associated with TP53 predicting the overall survival of gastric cancer: a retrospective analysis of large sample and multicenter from public database

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Junyu Huo ◽  
Liqun Wu ◽  
Yunjin Zang
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
T Cells ◽  
Risk Score ◽  
External Validation ◽  
Disease Free Survival ◽  
Low Risk ◽  
Immune Gene ◽  
Free Survival ◽  
Gene Pairs

Abstract Background Growing attention have been paid to the relationship between TP53 and tumor immunophenotype, but there are still lacking enough search on the field of gastric cancer (GC). Materials and methods We identified differential expressed immune-related genes (DEIRGs) between the TP53-altered GC samples (n = 183) and without TP53-altered GC samples (n = 192) in The Cancer Genome Atlas and paired them. In the TCGA cohort (n = 350), a risk score was determined through univariate and multivariate cox regression and Lasso regression analysis. Patients were divided into two groups, high-risk and low-risk, based on the median risk score. Four independent cohorts (GSE84437,n = 431; GSE62254, n = 300; GSE15459, n = 191; GSE26901, n = 100) from the Gene Expression Omnibus (GEO) database were used to validate the reliability and universal applicability of the model. Results The signature contained 11 gene pairs showed good performance in predicting progression-free survival (PFS), disease-free survival (DFS), disease special survival (DSS), and the overall survival (OS) for GC patients in the TCGA cohort. The subgroup analysis showed that the signature was suitable for GC patients with different characteristics. The signature could capable of distinguish GC patients with good prognosis and poor prognosis in all four independent external validation cohorts. The high- and low-risk groups differed significantly in the proportion of several immune cell infiltration, especially for the T cells memory resting, T cells memory activated and follicular helper, and Macrophage M0, which was also related to the prognosis of GC patients. Conclusion The present work proposed an innovative system for evaluating the prognosis of gastric cancer. Considering its stability and general applicability, which may become a widely used tool in clinical practice.

scholarly journals Construction and Validation of a Universal Applicable Prognostic Signature for Gastric Cancer Based on Seven Immune-Related Gene Correlated With Tumor Associated Macrophages

2021 ◽  
Vol 11 ◽  
Author(s):  
Junyu Huo ◽  
Liqun Wu ◽  
Yunjin Zang
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Risk Score ◽  
Critical Role ◽  
External Validation ◽  
Low Risk ◽  
Prognostic Signature ◽  
Tumor Associated Macrophages ◽  
Cox Regression Analysis ◽  
Significant Difference

BackgroundTumor-associated macrophages (TAMs) play a critical role in the progression of malignant tumors, but the detailed mechanism of TAMs in gastric cancer (GC) is still not fully explored.MethodsWe identified differentially expressed immune-related genes (DEIRGs) between GC samples with high and low macrophage infiltration in The Cancer Genome Atlas datasets. A risk score was constructed based on univariate Cox analysis and Lasso penalized Cox regression analysis in the TCGA cohort (n=341). The optimal cutoff determined by the 5-year time-dependent receiver operating characteristic (ROC) curve was considered to classify patients into groups with high and low risk. We conducted external validation of the prognostic signature in four independent cohorts (GSE84437, n=431; GSE62254, n=300; GSE15459, n=191; and GSE26901, n=109) from the Gene Expression Omnibus (GEO) database.ResultsThe signature consisting of 7 genes (FGF1, GRP, AVPR1A, APOD, PDGFRL, CXCR4, and CSF1R) showed good performance in predicting overall survival (OS) in the 5 independent cohorts. The risk score presented an obviously positive correlation with macrophage abundance (cor=0.7, p<0.001). A significant difference was found between the high- and low-risk groups regarding the overall survival of GC patients. The high-risk group exhibited a higher infiltration level of M2 macrophages estimated by the CIBERSORT algorithm. In the five independent cohorts, the risk score was highly positively correlated with the stromal cell score, suggesting that we can also evaluate the infiltration of stromal cells in the tumor microenvironment according to the risk score.ConclusionOur study developed and validated a general applicable prognostic model for GC from the perspective of TAMs, which may help to improve the precise treatment strategy of GC.

Overexpression of NUAK1 is associated with disease-free survival and overall survival in patients with gastric cancer

2014 ◽  
Vol 31 (7) ◽  
Author(s):  
Xiao-tian Ye ◽  
Ai-jun Guo ◽  
Peng-fei Yin ◽  
Xian-dong Cao ◽  
Jia-cong Chang
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Disease Free Survival ◽  
Free Survival ◽  
Disease Free

Value of Preoperative Inflammation-Based Prognostic Scores in Predicting Overall Survival and Disease-Free Survival in Patients with Gastric Cancer

2014 ◽  
Vol 21 (6) ◽  
pp. 1998-2004 ◽  
Author(s):  
Paolo Aurello ◽  
Simone Maria Tierno ◽  
Giammauro Berardi ◽  
Federico Tomassini ◽  
Paolo Magistri ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Disease Free Survival ◽  
Prognostic Scores ◽  
Free Survival ◽  
Disease Free

A Risk Score Model Associated with Tumor Microenvironment Predicts Disease-Free Survival After Radical Prostatectomy

2020 ◽  
Author(s):  
Hao Zhao ◽  
Xuening Zhang ◽  
Zhan Shi ◽  
Songhe Shi
Keyword(s):  
Tumor Microenvironment ◽  
Gleason Score ◽  
Risk Score ◽  
Regression Models ◽  
Cox Regression ◽  
External Validation ◽  
Disease Free Survival ◽  
Data Set ◽  
Free Survival ◽  
Disease Free

Abstract Background Tumor microenvironment (TME) and immune checkpoint inhibitors has been shown to promote active immune responses through different mechanisms. We aimed to identify the important prognostic genes and prognostic characteristics related to TME in prostate cancer (PCa).Methods The gene transcriptome profiles and clinical information of PCa patients were obtained from the TCGA database, and the immune, stromal and estimate scores were calculated by the ESTIMATE algorithm. We evaluated the prognostic value of risk score (RS) model based on univariate Cox and LASSO Cox regression models analysis, and established a nomogram to predict disease-free survival (DFS) in PCa patients. The GSE70768 data set was used for external validation. Finally, 22 subsets of tumor-infiltrating immune cells (Tiics) were analyzed using the Cibersort algorithm.Results In this study, the patients with higher immune, stromal, and estimate scores were associated with poorer DFS, higher Gleason score, and higher AJCC T stage. Based on the immune and stromal scores, the Venny diagram screened out 515 cross DEGs. The univariate COX and Lasso Cox regression models were used to select 18 DEGs from 515 DEGs, and constructed a RS model. The DFS of the high-RS group was significantly lower than that of the low-RS group (P<0.001). The AUC of 1-year, 3-year and 5-year DFS rates in RS model were 0.778, 0.754 and 0.750, respectively. In addition, the RS model constructed from 18 genes was found to be more sensitive than Gleason score (1, 3, 5 year AUC= 0.704, 0.677 and 0.682). The nomograms of DFS were established based on RS and Gleason scores. The AUC of the nomograms in the first, third, and fifth years were 0.802, 0.808, and 0.796, respectively. These results have been further validated in GEO. In addition, the proportion of Tregs was higher in high-RS patients (P<0.05), and the expression of five immune checkpoints (CTLA-4, PD-1, LAG-3, TIM-3 and TIGIT) was higher in high-RS patients (P<0.05).Conclusion We identified 18 TME-related genes from the TCGA database, which were significantly related to DFS in PCa patients.

Randomized Clinical Trial of Adjuvant Mitomycin Plus Tegafur in Patients With Resected Stage III Gastric Cancer

1999 ◽  
Vol 17 (12) ◽  
pp. 3810-3815 ◽  
Author(s):  
Lluís Cirera ◽  
Anna Balil ◽  
Eduard Batiste-Alentorn ◽  
Ignasi Tusquets ◽  
Teresa Cardona ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Clinical Trial ◽  
Overall Survival ◽  
Survival Rate ◽  
Adjuvant Chemotherapy ◽  
Disease Free Survival ◽  
Stage Iii ◽  
Free Survival ◽  
Resected Stage ◽  
Disease Free

PURPOSE: The efficacy of adjuvant chemotherapy in gastric cancer is controversial. We conducted a phase III, randomized, multicentric clinical trial with the goal of assessing the efficacy of the combination of mitomycin plus tegafur in prolonging the disease-free survival and overall survival of patients with resected stage III gastric cancer. PATIENTS AND METHODS: Patients with resected stage III gastric adenocarcinoma were randomly assigned, using sealed envelopes, to receive either chemotherapy or no further treatment. Chemotherapy was started within 28 days after surgery according to the following schedule: mitomycin 20 mg/m2 intravenously (bolus) at day 1 of chemotherapy; 30 days later, oral tegafur at 400 mg bid daily for 3 months. Disease-free survival and overall survival were estimated using the Kaplan-Meier analysis and the Cox proportional hazards model. RESULTS: Between January 1988 and September 1994, 148 patients from 10 hospitals in Catalonia, Spain, were included in the study. The median follow-up period was 37 months. The tolerability of the treatment was excellent. The overall survival and disease-free survival were higher in the group of patients treated with chemotherapy (P = .04 for survival and P = .01 for disease-free survival in the log-rank test). The overall 5-year survival rate and the 5-year disease-free survival rate were, respectively, 56% and 51% in the treatment group and 36% and 31% in the control group. CONCLUSION: Our positive results are consistent with the results of recent studies; which conclude that there is a potential benefit from adjuvant chemotherapy in resected gastric cancer.

NRG Oncology RTOG 0415: A randomized phase III non-inferiority study comparing two fractionation schedules in patients with low-risk prostate cancer.

2016 ◽  
Vol 34 (2_suppl) ◽  
pp. 1-1 ◽  
Author(s):  
W. Robert Lee ◽  
James J. Dignam ◽  
Mahul Amin ◽  
Deborah Bruner ◽  
Daniel Low ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Biochemical Recurrence ◽  
Disease Free Survival ◽  
Low Risk ◽  
Free Survival ◽  
Risk Prostate Cancer ◽  
Low Risk Prostate Cancer ◽  
Grade 3 ◽  
Disease Free

1 Background: To determine whether the efficacy of a hypofractionated (H) schedule is no worse than a conventional (C) schedule in men with low-risk prostate cancer. Methods: From April 2006 to December 2009, one thousand one hundred fifteen men with low-risk prostate cancer (clinical stage T1-2a, Gleason ≤ 6, PSA < 10) were randomly assigned 1:1 to a conventional (C) schedule (73.8 Gy in 41 fractions over 8.2 weeks) or to a hypofractionated (H) schedule (70 Gy in 28 fractions over 5.6 weeks). The trial was designed to establish with 90% power and alpha = 0.05 that (H) results in 5-year disease-free survival (DFS) that is not lower than (C) by more than 7% (hazard ratio (HR) < 1.52). Secondary endpoints include freedom from biochemical recurrence (FFBR) and overall survival. At the third planned interim analysis (July 2015), the NRG Oncology Data Monitoring Committee recommended that the results of the trial be reported. Results: One thousand one hundred and one protocol eligible men were randomized: 547 to C and 554 to H. Median follow-up is 5.9 years. Baseline characteristics are not different according to treatment arm. At the time of analysis 185 DFS events have been observed; 99 in the C arm and 86 in the H arm. The estimated 7-year disease-free survival is 75.6% (95% CI 70.3, 80.1) in the C arm and 81.8% (77.5, 85.3) in the H arm. The DFS HR (C/H) is 0.85 (0.64, 1.14). Comparison of biochemical recurrence (HR = 0.77, (0.51, 1.17)) and overall survival (HR = 0.95, (0.65, 1.41)) also met protocol non-inferiority criteria. Grade ≥ 3 GI toxicity is 3.0% (C) vs. 4.6% (H), Relative risk (RR) for H vs. C 1.53, (95% CI 0.86, 2.83); grade ≥ 3 GU toxicity is 4.5% (C) vs. 6.4% (H), RR = 1.43 (0.86,2.37). Conclusions: In men with low-risk prostate cancer, 70 Gy in 28 fractions over 5.6 weeks is non-inferior to 73.8 Gy in 41 fractions over 8.2 weeks. Clinical trial information: NCT00331773.

Phase II trial of adjuvant immunotherapy with autologous tumor-derived Gp96 vaccination in patients with gastric cancer.

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 117-117
Author(s):  
Lin Chen ◽  
Kecheng Zhang ◽  
Zheng Peng ◽  
Bo Wei ◽  
Hongqing Xi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Immune Responses ◽  
Phase Ii Trial ◽  
Disease Free Survival ◽  
Control Group ◽  
Autologous Tumor ◽  
Free Survival ◽  
Experimental Group ◽  
Disease Free

117 Background: Autologous, tumor-derived heat shock protein Gp96 peptides complexes have shown antitumor potential in various cancers. We conducted the first Phase II trial to evaluate the safety and efficacy of Gp96 vaccination in adjuvant settings for patients with gastric cancer. Methods: Consecutive patients from November 2012 to December 2015 were enrolled. Participants were allocated to the experimental group or control group, receiving Gp96 vaccination plus chemotherapy or chemotherapy alone respectively. The primary endpoints were disease-free survival and toxicity. The secondary outcomes were overall survival and tumor-specific immune responses. Results: Thirty-nine and forty patients received Gp96 vaccination plus chemotherapy and chemotherapy alone in the adjuvant settings respectively. Significant increased tumor-specific immune responses were observed after Gp96 vaccination. There were comparable disease-free survival ( p = 0.413; HR: 0.75; 95% CI: 0.37−1.48) and overall survival ( p = 0.485; HR: 0.68; 95% CI: 0.24−1.96) between experimental group and control group. In subgroup of patients with stage II and stage III gastric cancer, patients who have received Gp96 vaccination had improved disease-free survival compared those who have not ( p = 0.044; HR: 0.45; 95% CI: 0.22−0.96). Gp96 vaccination plus chemotherapy was well tolerated and no Gp96-related serious adverse event has been observed. Conclusions: Gp96 vaccination could elicit tumor-specific immune responses and could be safely used in adjuvant settings combined with chemotherapy. Patients with less aggressive diseases might benefit from Gp96 therapy.

Clinical impact of postgastrectomy sarcopenia on the prognosis in patients with gastric cancer.

2020 ◽  
Vol 38 (4_suppl) ◽  
pp. 311-311
Author(s):  
Beom Jin Kim ◽  
Eun Sun Lee ◽  
Joong-Min Park ◽  
In Gyu Hwang
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Muscle Mass ◽  
Surgical Resection ◽  
Disease Free Survival ◽  
Clinical Impact ◽  
Free Survival ◽  
Significant Difference ◽  
Fat Volume ◽  
Disease Free

311 Background: There is a lack of research on newly developed sarcopenia postoperatively. The purpose of this study was to investigate the risk factors and the clinical impact of postgastrectomy sarcopenia on the prognosis in patients undergoing radical gastrectomy for gastric cancer (GC). Methods: We retrospectively reviewed clinicopathological data from 430 consecutive GC patients who underwent surgical resection at Chung-Ang University Hospital between January 2011 and December 2015. Their skeletal muscle mass and abdominal fat volume were measured by abdominal CT imaging. Results: A total of 425 patients were analyzed in the study. The mean age was 62 years old and male were 301 (70.8%). Of these, 42 patients (9.9%) were diagnosed as pre-operative sarcopenia. Compared with non-sarcopenic group, pre-operative sarcopenia groups showed more female, higher BMI, less alcoholic, and less smoking. However, there was no significant difference in 5 - year overall survival and disease free survival between the groups (p = 0.836 and p = 0.638, respectively). Among 381 non-sarcopenic patients, 48 patients (12.6%) were diagnosed as newly developed sarcopenia in one year after gastric resection. Compared with non-sarcopenic group, the newly developed sarcopenic group showed more male, more undifferentiated tumor, lower hemoglobin level, less alcoholic, less smoking, and presence of diabetes mellitus. However, there was no significant difference in the 5 - year overall survival and disease free survival among non-sarcopenic, sarcopenic, and newly developed sarcopenic groups (p = 0.521 and p = 0.534, respectively). The relationship between preoperative body fat volume and postoperative muscle mass showed a significant correlation (rho = 0.296, p < 0.001), but only BMI was significantly associated with long term survival. Conclusions: Although newly developed sarcopenia after surgery did not affect the survival rate, patients with nutritional risk of sarcopenia after surgical resection may require early evaluation of nutritional status and nutritional support.

scholarly journals Immune gene prognostic signature for disease free survival of gastric cancer Translational research of an artificial intelligence survival predictive system

2020 ◽  
Author(s):  
zhiqiao zhang ◽  
Tingshan He ◽  
Liwen Huang ◽  
Jing Li ◽  
Peng Wang
Keyword(s):  
Artificial Intelligence ◽  
Gastric Cancer ◽  
Cancer Patients ◽  
Regulatory Network ◽  
Disease Free Survival ◽  
Survival Prediction ◽  
Immune Gene ◽  
Free Survival ◽  
Immune Genes ◽  
Disease Free

Abstract Background The progress of artificial intelligence algorithms and massive data provide new ideas and choices for individual mortality risk prediction for cancer patients. The current research focused on depict immune gene related regulatory network and develop an artificial intelligence survival predictive system for disease free survival of gastric cancer. Methods Multi-task logistic regression algorithm, Cox survival regression algorithm, and Random survival forest algorithm were used to develop the artificial intelligence survival predictive system. Results Nineteen transcription factors and seventy immune genes were identified to construct a transcription factor regulatory network of immune genes. Multivariate Cox regression identified fourteen immune genes as prognostic markers. These immune genes were used to construct a prognostic signature for gastric cancer. Concordance indexes were 0.800, 0.809, and 0.856 for 1-, 3- and 5- year survival. An interesting artificial intelligence survival predictive system was developed based on three artificial intelligence algorithms for gastric cancer. Gastric cancer patients with high risk score have poor survival than patients with low risk score. Conclusions The current study constructed a transcription factor regulatory network and developed two artificial intelligence survival prediction tools for disease free survival of gastric cancer patients. These artificial intelligence survival prediction tools are helpful for individualized treatment decision.

scholarly journals Analysis of Threshold Changes of Tumor Mutation Burden of Gastric Cancer and Its Relationship with Patients’ Prognosis

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Nan Zhang ◽  
Peiyu Li ◽  
Xin Wu ◽  
Shaoyou Xia ◽  
Xudong Zhao ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Pearson Correlation ◽  
Disease Free Survival ◽  
Free Survival ◽  
Tumor Mutation Burden ◽  
D2 Lymph Node Dissection ◽  
Logistic Analysis ◽  
Mutation Burden ◽  
Disease Free

Objective. Gastric cancer is a malignant tumor originating from gastric mucosal epithelium. Here, we aimed to investigate the analysis of the threshold change of gastric cancer tumor mutation burden (TMB) and its relationship with the prognosis of patients. Methods. 256 patients with gastric cancer were selected as subjects. All patients were in the advanced stage and received surgical resection of D2 lymph node dissection. After the operation, a follow-up was performed for 24 months, and the disease-free survival and overall survival of patients were counted. The NGS molecular biological was detected to obtain gastric cancer tumor mutation burden (TMB) data. Pearson correlation analysis software was used to analyze the correlation between TMB threshold and disease-free survival or overall survival of patients with gastric cancer, and the multivariate logistic analysis was performed as well. Results. The disease-free survival period and the overall survival period of patients in the low-to-medium TMB group were both longer than those in the high TMB group. Pearson correlation analysis results showed that the TMB threshold was negatively correlated with the disease-free survival and overall survival of gastric cancer patients. Results from multivariate logistic analysis showed that high TMB thresholds have a greater impact on disease-free survival and overall survival of patients, but the impact of medium and low TMB thresholds on disease-free survival and overall survival of patients is weakened. Conclusions. The TMB threshold level has a predictive effect on the effect of surgical resection of D2 lymph node dissection, and high levels of TMB can significantly affect disease-free survival and overall survival of patients with advanced gastric cancer.

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