scholarly journals Association Among Blood Transfusion, Postoperative Infectious Complications, and Cancer-Specific Survival in Patients with Stage II/III Gastric Cancer After Radical Gastrectomy: Emphasizing Benefit from Adjuvant Chemotherapy

2020 ◽  
Author(s):  
Hua Xiao ◽  
Yanping Xiao ◽  
Pan Chen ◽  
Hu Quan ◽  
Jia Luo ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Adjuvant Chemotherapy ◽  
Blood Transfusion ◽  
Cox Regression ◽  
Infectious Complications ◽  
Additive Effect ◽  
Stage Ii ◽  
Radical Gastrectomy ◽  
Cancer Specific Survival ◽  
Cox Regression Analysis

Abstract Objectives This study was designed to investigate the potential additive influence of perioperative blood transfusion (BTF) and postoperative infections on cancer-specific survival (CSS) in patients with stage II/III gastric cancer (GC) after radical gastrectomy. Methods The medical records of 2114 consecutive stage II/III GC patients who underwent curative resection and planned to receive adjuvant chemotherapy (AC) were retrospectively reviewed. The independent predictive factors for infections were identified using univariate and multivariate analyses. Cox regression analysis was used to assess any associations between BTF, infection and CSS. Results A total of 507 (24.0%) received perioperative BTF and 148 (7.0%) developed infections with BTF being identified as an independent predictor for infections. Both BTF and infections independently predicted poor CSS (hazard ratio [HR]: 1.193, 95% confidence interval [CI] 1.007–1.414; HR 1.323, 95% CI 1.013–1.727) and an additive effect was confirmed as patients who had both BTF and infection had even worse CSS. Further stratified analyses showed that complete AC (≥ 6 cycles) could significantly improve CSS in patients who had BTF and/or infection, which was comparable to those without BTF and/or infection (P = 0.496). Conclusions Infection was the most common complication after gastrectomy and BTF was identified as an independent risk factor. BTF was associated with shorter CSS in stages II/III GC, independent of infections, and receiving BTF and developing infections had an additive effect that was associated with even worse CSS. However, complete AC could significantly improve CSS in these patients. Thus, strategies designed to ensure the completion of AC, such as neoadjuvant chemotherapy, should be further investigated.

scholarly journals Adjuvant chemotherapy is an additional option for locally advanced gastric cancer after radical gastrectomy with D2 lymphadenectomy: a retrospective control study

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lei Chen ◽  
Chenghai Zhang ◽  
Zhendan Yao ◽  
Ming Cui ◽  
Jiadi Xing ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Adjuvant Chemotherapy ◽  
Locally Advanced ◽  
Disease Free Survival ◽  
Stage Ii ◽  
Radical Gastrectomy ◽  
D2 Lymphadenectomy ◽  
D2 Gastrectomy ◽  
Group A ◽  
Group B

Abstract Background This study compared the long-term efficacy of different durations of adjuvant chemotherapy for patients with gastric cancer after radical gastrectomy with D2 lymphadenectomy. Methods We retrospectively identified 428 patients with stage II–III gastric cancer who underwent D2 gastrectomy between 2009 and 2016. Patients were divided into four groups according to the duration of adjuvant chemotherapy, including 0 week (no adjuvant, group A), 20 to 24 weeks (completed 7–8 cycles every 3 weeks or 10–12 cycles every 2 weeks, group B), and 12 to18 weeks (completed 4–6 cycles every 3 weeks or 6–9 cycles every 2 weeks, group C), and less than 12 weeks (received up to 3 cycles every 3 weeks or 5 cycles every 2 weeks, group D). The chemotherapy regimens included XELOX, SOX, and FOLFOX. 5-year overall survival (OS) and disease-free survival (DFS) were analyzed. Results The 5-year OS rates for groups A, B, C, and D were 52.3, 73.7, 72.0, and 53.3%, respectively, and the 5-year DFS rates were 50.0, 68.0, 65.4, and 50.0%, respectively. OS and DFS were higher in group B than in groups A and D. Similarly, patients in group C were more likely to have higher OS and DFS than those in groups A and D. Meanwhile, there were no significant differences in OS and DFS between groups B and C. The multivariate analysis confirmed with high statistical significance the efficacy of complete courses of adjuvant chemotherapy, and, among them, the similar impact of 4–6/6–9 and 7–8/10–12 cycles, resulting in similar HRs vs Group A (0.52 and 0.42, respectively). Conclusions To reduce toxicity and maintain efficacy, XELOX or SOX chemotherapy regimens administered for 4–6 cycles every 3 weeks or FOLFOX regimen for 6–9 cycles every 2 weeks might be a favorable option for patients with stage II–III gastric cancer after D2 gastrectomy. Prospective multicenter clinical trials with adequate sample sizes are necessary to verify these findings.

Prognostic and predictive value of immunoscore signature in gastric cancer.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15594-e15594 ◽  
Author(s):  
Xiaolong Qi ◽  
Yuming Jiang ◽  
Qi Zhang ◽  
Yanfeng Hu ◽  
Tuanjie Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Overall Survival ◽  
Adjuvant Chemotherapy ◽  
Predictive Value ◽  
Prognostic Value ◽  
Cox Regression ◽  
External Validation ◽  
Disease Free Survival ◽  
Stage Ii ◽  
Predictive Tool

e15594 Background: TNM staging system is not adequate to define the prognosis of patients with gastric cancer (GC). This system is also unable to predict whether the GC patients are likely to benefit from adjuvant chemotherapy. We postulated that ImmunoScore of GC (ISGC) could markedly improve the prediction of postsurgical survival and adjuvant chemotherapeutic benefits. Methods: 125 GC patients were enrolled as a training cohort to detect the expression of 27 immune features using immunohistochemistry and then constructed a five-feature-based ISGC using the LASSO Cox regression model. Internal validation cohort (126 specimens) and two external validation cohorts (628 specimens) were utilized to validate the prognostic and predictive value of ISGC. Results: We established the ISGC classifier based on the five features: CD3invasive margin (IM), CD3center of tumor (CT), CD8IM, CD45ROCT, and CD66bIM. The ISGC classifier could distinguish GC patients with high-ISGC from those with low-ISGC with significant differences in 5-year disease-free survival (45.0% v.s. 4.4%, p < 0.001) and 5-year overall survival (48.8% v.s. 6.7%, p < 0.001). According to the multivariate analysis, the ISGC classifier was proved to be an independent prognostic factor. A combination of ISGC and TNM had better prognostic value than TNM stage alone. In a further analysis, stage II and III GC patients with high-ISGC exhibited a favorable response to adjuvant chemotherapy. To provide a quantitative method to predict stage II and III GC patients’ probability of 3- and 5-year overall survival, we constructed two nomograms that integrated the ISGC and clinicopathological risk factors. Calibration plots showed that the nomograms performed well compared with an ideal model. The predictive accuracy and clinical usefulness of the nomograms were also demonstrated. Conclusions: The ISGC classifier could effectively predict recurrence and survival of GC, and complemented the prognostic value to TNM system. Moreover, the classifier might be a useful predictive tool to identify candidates with stage II and III GC who would benefit from adjuvant chemotherapy. Therefore, the ISGC might facilitate the counseling and personalize the postoperative management of GC patients.

Outcomes of patients with nonmetastatic gastric adenocarcinoma according to perioperative treatment strategy: a real-world, population-based study

2021 ◽  
Vol 10 (15) ◽  
pp. 1143-1151
Author(s):  
Omar Abdel-Rahman
Keyword(s):  
Gastric Cancer ◽  
Regression Analysis ◽  
Adjuvant Chemotherapy ◽  
Treatment Strategy ◽  
Cox Regression ◽  
Population Based ◽  
Survival Outcomes ◽  
Perioperative Chemotherapy ◽  
Cox Regression Analysis ◽  
Perioperative Treatment

Aim: To assess the survival outcomes of patients with nonmetastatic gastric cancer according to the type of perioperative treatment strategy used (surgery-only, adjuvant chemo-radiotherapy, adjuvant chemotherapy, perioperative chemotherapy) in a population-based setting. Materials & methods: Surveillance, Epidemiology and End Results research-plus database was explored, and patients with nonmetastatic gastric cancer who were treated with an oncologic surgery were reviewed. Multivariable Cox regression analysis was used to examine the impact of treatment strategy on overall and cancer-specific survival. Results: A total of 11,526 patients were found to be eligible and they were included in the current analysis. Looking at the percentages of different treatment strategies throughout the study years (2006–2017), the use of the following strategies increased: adjuvant chemotherapy (20.1 vs 10.6%), and perioperative chemotherapy (21.3 vs 0.5%); while the use of the following strategies decreased: surgery only (36.2 vs 58.2%), and adjuvant chemo-radiotherapy (22.4 vs 30.6%). Using multivariable Cox regression analysis, the following factors were associated with worse overall survival: older age (hazard [HR]: 1.021; 95% CI: 1.018–1.023), males (HR: 1.09; 95% CI: 1.04–1.14), Black race (HR: 1.11; 95% CI: 1.04–1.19), cardia subsite (HR: 1.09; 95% CI: 1.02–1.17), grade 3–4 (HR:1.32; 95% CI: 1.25–1.40), diffuse histology (HR: 1.46; 95% CI: 1.35–1.58), clinically node positive (HR:1.43; 95% CI: 1.34–1.53), total gastrectomy (HR: 1.20; 95% CI: 1.13–1.28), and surgery-only approach (HR: 1.65; 95% CI: 1.55–1.75). Conclusion: Among patients with localized gastric cancer, patients who were treated with surgery-only, and to a less extent, patients who were treated with surgery followed by adjuvant chemotherapy have worse survival outcomes; while those treated with perioperative chemotherapy have the best survival outcomes.

scholarly journals Prognostic and Predictive Value of the Tumor-Stroma Ratio in STAGE II Colon Cancer

2020 ◽  
pp. 1-8
Author(s):  
Wilma E. Mesker ◽  
Armin Gerger ◽  
Austrian Breast and Colorectal Cancer Study Group (ABCSG) ◽  
Evelyne Bareck ◽  
Gabi W. van Pelt ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Adjuvant Chemotherapy ◽  
Predictive Value ◽  
Cox Regression ◽  
Tumor Stroma ◽  
Predictive Biomarker ◽  
Distant Recurrence ◽  
Stage Ii ◽  
Cox Regression Analysis ◽  
Stage Ii Colon Cancer

Background: Tumor-stroma ratio (TSR) is an independent prognosticator in colon cancer. Objective: We set out to investigate the predictive power, as well as to validate the prognostic power of TSR in stage II colon cancer patients. Better identification of patients who could benefit from adjuvant chemotherapy remains an important issue in stage II disease. Methods: TSR was microscopically determined on haematoxylin and eosin-stained primary tumor tissue slides of 212 patients who received either adjuvant chemotherapy or surveillance after curative resection in a prospective randomized clinical trial (ABCSG-91). Results: Stroma-high tumors were associated with significantly more cancer-related death ((CaDeath) HR 2.30, 95% CI 1.05−5.03; p=0.037) and significantly shorter distant recurrence-free survival ((DRFS) HR 2.32, 95% CI 1.10−4.87; p=0.027) compared to stroma-low tumors. Backward multivariate Cox-regression analysis demonstrated TSR as an independent prognosticator for DRFS (p=0.027) and CaDeath (p=0.031). TSR did not validate as a predictive biomarker; CaDeath (HR 0.87, 95% CI 0.18−4.17; p=0.87), DRFS (HR 0.76, 95% CI 0.17−3.36; p=0.71) and OS (HR 0.96, 95% CI 0.29−3.21; p=0.95) for the type of chemotherapy given in ABCSG-91. Conclusions: TSR, an easily applicable and inexpensive observer-based method, is an independent predictor of poor prognosis in stage II colon cancer. Predictive value for adjuvant 5-FU/leucovorin could not be demonstrated.

scholarly journals A Novel Inflammatory-Nutritional Prognostic Scoring System for Stage III Gastric Cancer Patients With Radical Gastrectomy Followed by Adjuvant Chemotherapy

2021 ◽  
Vol 11 ◽  
Author(s):  
Nan Wang ◽  
Wenqi Xi ◽  
Sheng Lu ◽  
Jinling Jiang ◽  
Chao Wang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Multivariate Analysis ◽  
Adjuvant Chemotherapy ◽  
Scoring System ◽  
Cox Regression ◽  
Stage Iii ◽  
Radical Gastrectomy ◽  
Survival Curves ◽  
Lymphocyte Ratio ◽  
Medium Risk

PurposeThe present study was designed to explore the prognostic value of preoperative inflammatory and nutritional biomarkers in stage III gastric cancer (GC) patients with adjuvant chemotherapy and to develop a novel scoring system called the inflammatory-nutritional prognostic score (INPS).MethodsA total of 513 patients with pathological stage III GC undergoing radical gastrectomy followed by adjuvant chemotherapy from 2010 to 2017 were enrolled in the study. Clinicopathological characteristics and blood test parameters of individual patients were collected. The least absolute shrinkage and selection operator (LASSO) Cox regression model was used for feature selection to construct INPS. Survival curves were generated using the Kaplan-Meier method with log-rank tests. The nomogram was generated based on the result of the multivariate analysis using Cox’s proportional hazards model. The model was assessed by the concordance index (C-index) and was internally validated by bootstraps.ResultsAccording to the results of Lasso Cox regression and K-M survival curves, INPS was determined as follows: a low body mass index (BMI) (&lt;23 kg/m2), a low prealbumin (&lt;180 mg/L), a high neutrophil-lymphocyte ratio (NLR) (≥2.7), a high platelet-lymphocyte ratio (PLR) (≥209.4), a low lymphocyte-monocyte ratio (LMR) (&lt;2.8), and a low prognostic nutritional index (PNI) (&lt;45.1); each were scored as 1, and the remaining values were scored as 0. The individual scores were then summed up to construct the INPS and further divided into 4 groups: Low Risk (INPS 0); Low-medium Risk (INPS 1); High-medium Risk (INPS 2-4); and High Risk (INPS 5-6). In multivariate analysis, INPS was an independent predictor of overall survival (OS) in stage III GC, with the 5-year OS rates of 70.8%, 57.4%, 41.5%, and 30.6%, respectively. The nomogram based on INPS and other independent predictors (gender, pT stage, pN stage, lymphovascular invasion, and CEA level) showed good predicting performance with a C-index of 0.707, which was superior to the TNM stage alone (C-index 0.645, p=0.008) and was internally validated with the corrected C-index of 0.693.ConclusionPreoperative INPS was an independent prognostic factor of stage III GC patients with radical surgery followed by adjuvant chemotherapy. The nomogram based on INPS may serve as a simple and potential model in risk stratification and guiding treatment strategies in clinical practice.

scholarly journals Development and Validation of a Scoring System Based on 9 Glycolysis-Related Genes for Prognosis Prediction in Gastric Cancer

2020 ◽  
Vol 19 ◽  
pp. 153303382097167
Author(s):  
Tianqi Luo ◽  
Yufei Du ◽  
Jinling Duan ◽  
Chengcai Liang ◽  
Guoming Chen ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Regression Analysis ◽  
Adjuvant Chemotherapy ◽  
Cancer Patients ◽  
Risk Score ◽  
Cox Regression ◽  
Risk Groups ◽  
Tumor Stage ◽  
Cox Regression Analysis ◽  
Gastric Cancer Patients

Gastric cancer is a malignant tumor with high morbidity and mortality worldwide. However, increasing evidences have revealed the correlation between the glycolysis process and tumorigenesis. This study is aim to develop a list of glycolysis-related genes for risk stratification in gastric cancer patients. We included 500 patients’ sample data from GSE62254 and GSE26942 datasets, and classified patients into training (n = 350) and testing sets (n = 150) at a ratio of 7: 3. Univariate and multivariate Cox regression analysis were performed to screen genes having prognostic value. Based on HALLMARK gene sets, we identified 9 glycolysis-related genes (BPNT1, DCN, FUT8, GMPPA, GPC3, LDHC, ME2, PLOD2, and UGP2). On the basis of risk score developed by the 9 genes, patients were classified into high- and low-risk groups. The survival analysis showed that the high-risk patients had a worse prognosis ( p < 0.001). Similar finding was observed in the testing cohort and 2 independent cohorts (GSE13861 and TCGA-STAD, all p < 0.001). The multivariate Cox regression analysis showed that the risk score was an independent prognostic factor for overall survival ( p < 0.001). Furthermore, we constructed a nomogram that integrated the risk score and tumor stage, age, and adjuvant chemotherapy. Through comparing the results of the receiver operating characteristic curves and decision curve analysis, we found that the nomogram had a superior predictive accuracy than conventional TNM staging system, suggesting that the risk score combined with other clinical factors (age, tumor stage, and adjuvant chemotherapy) can develop a robust prediction for survival and improve the individualized clinical decision making of the patient. In conclusion, we identified 9 glycolysis-related genes from hallmark glycolysis pathway. Based on the 9 genes, gastric cancer patients were separated into different risk groups related to survival.

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