501 POSTER Expression of microRNA-451 is associated with disease-free survival in gastric cancer patients treated with chemoradiotherapy after gastric resection

2007 ◽  
Vol 5 (4) ◽  
pp. 90
Author(s):  
E. Bandres ◽  
N. Bitarte ◽  
F. Arias ◽  
R. Zarate ◽  
X. Agirre ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Gastric Resection ◽  
Disease Free Survival ◽  
Free Survival ◽  
Gastric Cancer Patients ◽  
Disease Free

Tumor-Stroma Ratio is an independent predictor for overall survival and disease free survival in gastric cancer patients

The Surgeon ◽  
2017 ◽  
Vol 15 (6) ◽  
pp. 329-335 ◽  
Author(s):  
Paolo Aurello ◽  
Giammauro Berardi ◽  
Diego Giulitti ◽  
Antonio Palumbo ◽  
Simone Maria Tierno ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Cancer Patients ◽  
Independent Predictor ◽  
Disease Free Survival ◽  
Tumor Stroma ◽  
Free Survival ◽  
Gastric Cancer Patients ◽  
Disease Free

scholarly journals The outcome of young vs. old gastric cancer patients following gastrectomy: a propensity score matching analysis

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yu-Xi Cheng ◽  
Wei Tao ◽  
Xiao-Yu Liu ◽  
Chao Yuan ◽  
Bin Zhang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Prognostic Factor ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Young Group ◽  
Short Term ◽  
Free Survival ◽  
Gastric Cancer Patients ◽  
Disease Free

Abstract Purpose The purpose of the current study was to compare the postoperative complications, overall survival and disease-free survival in young and old gastric cancer patients after gastrectomy using propensity score matching (PSM). Methods Adult patients (aged ≥ 18 years) who underwent gastrectomy for gastric cancer in a single clinical center from January 2013 to December 2017 were enrolled continuously for retrospective analysis. To minimize the selection bias between the young and old groups, the PSM was conducted in this study. Results A total of 558 patients were included in this study, with 51 patients in the young group (aged ≤ 45 years) and 507 patients in the old group (aged > 45 years). After 1:1 matching according to PSM, 51 patients in the young group were matched to 51 patients in the old group. After PSM, there was no difference in the baseline information. In terms of short-term outcomes, no difference was found in operation time (P = 0.190), intraoperative blood loss (P = 0.336), retrieved lymph nodes (P = 0.948), blood transfusion (P = 0.339), postoperative hospital stay (P = 0.194), or postoperative complications (P = 0.477) between the two groups. For overall survival, no statistically significant difference was found in all stages (P = 0.383), stage I (P = 0.431), stage II (P = 0.875) or stage III (P = 0.446) gastric cancer. Furthermore, regarding disease-free survival, no differences were found between the two groups in all stages (P = 0.378), stage I (P = 0.431), stage II (P = 0.879) or stage III (P = 0.510) gastric cancer. Conclusion Age might not be an independent prognostic factor for short-term outcomes, OS, or DFS in gastric cancer patients who underwent gastrectomy. The pTNM stage of GC might be an independent prognostic factor for OS and DFS.

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.

Clinicopathologic significance of expression of nuclear factor kappa Β and vascular endothelial growth factor in gastric cancer patients.

2013 ◽  
Vol 31 (4_suppl) ◽  
pp. 50-50 ◽  
Author(s):  
Keon-Woo Park ◽  
Hyuk-Chan Kwon ◽  
Su-Jin KIm ◽  
Hyung-Sik Lee
Keyword(s):  
Gastric Cancer ◽  
Disease Free Survival ◽  
Vascular Endothelial ◽  
Nuclear Factor ◽  
Vegf Expression ◽  
Free Survival ◽  
Tumor Tissues ◽  
Gastric Cancer Patients ◽  
Endothelial Growth Factor ◽  
Disease Free

50 Background: Nuclear factor-κB (NF-κB) and vascular endothelial growth factor (VEGF) are involved in cell proliferation, invasion, angiogenesis and metastases. The principal objective of this study was to assess the prognostic significance of NF-κB and VEGF expression in gastric cancer Methods: The tumor tissues of 154 patients with gastric cancer, all of whom underwent potentially curative resection, were immunohistochemically evaluated using monoclonal antibodies against NF-κB and VEGF. Results: Positivity rates of NF-κB and VEGF were 44.2% and 39.6%, respectively. NF-κB expression in tumor tissues was correlated significantly with VEGF expression (p < 0.001). VEGF expression was related to Lauren’s classification (p = 0.002), differentiation (p = 0.043), depth of invasion (p = 0.005), carcinoembryonic antigen (p = 0.032), and stage (p = 0.026). However, NF-κB expression was not related to any of these parameters. Univariate analysis demonstrated that NF-κB expression was significantly related with both 5-year disease free survival (65.2% vs. 46.4%, p = 0.007), and 5-year overall survival (60.0% vs. 42.5%, p = 0.014). Multivariate analysis verified that NF-κB was independently associated with disease free survival (hazard ratio: 2.082, p = 0.005), and overall survival (hazard ratio: 1.841, p = 0.008). However, VEGF did not appear to be related to adverse clinical outcome. Conclusions: NF-κB expression in tumor tissue is associated with poor survival in gastric cancer patients.

scholarly journals Preoperative Anemia or Low Hemoglobin Predicts Poor Prognosis in Gastric Cancer Patients: A Meta-Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Xuan-zhang Huang ◽  
Yu-chong Yang ◽  
You Chen ◽  
Cong-cong Wu ◽  
Rui-fang Lin ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Poor Prognosis ◽  
Prognostic Value ◽  
Disease Free Survival ◽  
Preoperative Anemia ◽  
Free Survival ◽  
Effect Model ◽  
Gastric Cancer Patients ◽  
Disease Free

Background. The prognostic value of preoperative anemia in gastric cancer remains unclear. Therefore, the purpose of the present study is to evaluate the prognostic value of preoperative anemia in gastric cancer. Methods. We searched Embase and PubMed databases for relevant studies from inception to March 2018. The prognostic value of preoperative anemia in gastric cancer was determined by calculating the hazard ratio (HR) and the corresponding 95% confidence interval (CI) as effect measures. A random effect model was used in cases in which there was significant heterogeneity; otherwise, a fixed effect model was used. Statistical analyses were performed using Stata software. Results. Seventeen studies involving 13,154 gastric cancer patients were included. The estimated rate of preoperative anemia was 36% (95%CI=27-44%). The overall survival of preoperative anemia was poor (HR=1.33, 95%CI=1.21-1.45). Moreover, disease-free survival was significantly lower in patients with preoperative anemia compared with those without this condition (HR=1.62, 95%CI=1.13-2.32). These findings were corroborated by the results of subgroup analyses. Conclusions. The results indicate that preoperative anemia predicts poor prognosis in gastric cancer, including overall survival and disease-free survival. Therefore, preoperative anemia may be a convenient and cost-effective blood-derived prognostic marker for gastric cancer.

scholarly journals The prognostic impacts of PABPC1 expression on gastric cancer patients

2021 ◽  
Author(s):  
Tailai An ◽  
Lingna Deng ◽  
Yan Wang ◽  
Zheng Yang ◽  
Cuicui Chai ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Hazard Ratio ◽  
Independent Predictive Factor ◽  
Free Survival ◽  
Expression Levels ◽  
Kaplan Meier ◽  
Gastric Cancer Patients ◽  
Disease Free

Aim: To assess the prognostic impacts of PABPC1 on gastric cancer (GC) patients. Methods: The expression levels of PABPC1 in GC tissues and normal gastric tissues were initially compared via bioinformatics analysis. Immunohistochemical staining was accomplished to assess the expression of PABPC1 in the included GC patients. Then the impacts of PABPC1 expression on survival of GC patients were evaluated by Cox regression and Kaplan–Meier analyses. Results: The expression levels of PABPC1 in gastric tissues were significantly higher than those in normal gastric tissues (paired, p = 0.002; unpaired, p = 3.60e-9). By Kaplan–Meier, it was demonstrated that high expression of PABPC1 was significantly associated with worse overall and disease-free survival. Furthermore, high PABPC1 expression was demonstrated to be an independent predictive factor for both overall (p = 0.013; hazard ratio = 2.058; 95% CI: 1.162–3.644) and disease-free (p = 0.018; hazard ratio = 2.284; 95% CI: 1.153–4.524) survival. Conclusion: PABPC1 is a potential prognostic biomarker for GC patients.

Nomogram for lymph node metastasis prediction with early gastric cancer patients: To decide additional gastrectomy after endoscopic dissection.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 4045-4045
Author(s):  
Su Mi Kim ◽  
Byung-Hoon Min ◽  
Ji Yeong An ◽  
Min-Gew Choi ◽  
Keun Won Ryu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Early Gastric Cancer ◽  
Cancer Patients ◽  
External Validation ◽  
Disease Free Survival ◽  
Free Survival ◽  
Node Metastasis ◽  
Gastric Cancer Patients

4045 Background: Accurate prediction of metastatic lymph node is critical to avoid unnecessary gastrectomy and improve quality of life for patients with early gastric cancer. The aim of this study was to develop and validate a nomogram for prediction of lymph node metastasis in early gastric cancer patients. Methods: We reviewed the clinicopathological data of 10595 patients who underwent curative resection for early gastric cancer from 2001 to 2015 at Samsung Medical Center. This model was externally validated by 2100 patients who underwent curative resection for gastric cancer in National Cancer Center. Multivariate analysis using the Cox proportional hazard regression model was performed to develop the nomogram, and discrimination and calibration were evaluated by external validation. Overall survival, disease free survival, and recurrence free survival were compared between gastrectomy groups of 6641 patients and endoscopic dissection group of 999 patients who was performed the treatment in Samsung Medical Center for early gastric cancer by risk on nomogram to demonstrate the efficacy of nomogram. Results: Multivariate analyses revealed that age, tumor size, lymphatic invasion, depth of invasion, and histologic differentiation were significant prognostic factors for lymph node metastasis. The nomogram had good discrimination with a concordance index of 0.845 [95% confidence interval 0.832-0.858], supported by an external validation point of 0.813[95% confidence interval 0.786-0.84]. In low risk on nomogram, endoscopic dissection group had similar overall survival (P = 0.319), disease free survival (P = 0.469) and recurrence free survival (P = 0.091) compared to gastrectomy group. Conclusions: We developed and validated a nomogram predicting lymph node metastasis for early gastric cancer based on a large database. This personalized nomogram is useful to avoid unnecessary gastrectomy after endoscopic dissection resulting in improved quality of life for early gastric cancer patients.

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