scholarly journals A novel blood tool of cancer prognosis in esophageal squamous cell carcinoma: the Fibrinogen/Albumin Ratio

2017 ◽  
Vol 8 (6) ◽  
pp. 1025-1029 ◽  
Author(s):  
Zihui Tan ◽  
Man Zhang ◽  
Qiang Han ◽  
Jing Wen ◽  
Kongjia Luo ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Cancer Prognosis ◽  
Albumin Ratio

scholarly journals Preoperative C-reactive Protein-to-albumin Ratio Predicts Anastomotic Leakage After Esophagectomy for Thoracic Esophageal Cancer: a Single-center Retrospective Cohort Study

2021 ◽  
Author(s):  
Atsushi Sugimoto ◽  
Takahiro Toyokawa ◽  
Yuichiro Miki ◽  
Mami Yoshii ◽  
Tatsuro Tamura ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Cancer ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Anastomotic Leakage ◽  
Squamous Cell ◽  
C Reactive Protein ◽  
Thoracic Esophageal Cancer ◽  
Albumin Ratio ◽  
Reactive Protein

Abstract Background: Postoperative anastomotic leakage (AL) is associated with not only prolonged hospital stay and increased medical costs, but also poor prognosis in esophageal cancer. Several studies have addressed the utility of various inflammation-based and/or nutritional markers as predictors for postoperative complications. However, none have been documented as specific predictors for AL in esophageal cancer. We aimed to identify predictors of AL after esophagectomy for thoracic esophageal cancer, focusing on preoperative inflammation-based and/or nutritional markers. Methods: We retrospectively analyzed 295 patients who underwent radical esophagectomy for thoracic esophageal squamous cell carcinoma between June 2007 and July 2020. As inflammation-based and/or nutritional markers, Onodera prognostic nutritional index, C-reactive protein (CRP)-to-albumin ratio (CAR) and modified Glasgow prognostic score were investigated. Optimal cut-off values of inflammation-based and/or nutritional markers for AL were determined by receiver operating characteristic curves. Predictors for AL were analyzed by logistic regression modeling. Results: AL was observed in 34 patients (11.5%). In univariate analyses, preoperative body mass index (≥22.1 kg/m2), serum albumin level (≤3.8 g/dL), serum CRP level (≥0.06 mg/dL), CAR (≥0.0139), operation time (>565 min) and blood loss (≥480 ml) were identified as predictors of AL. Multivariate analyses revealed higher preoperative CAR (≥0.0139) as an independent predictor of AL (p = 0.048, odds ratio = 3.02, 95% confidence interval 1.01–9.06).Conclusion: Preoperative CAR may provide a useful predictor of AL after esophagectomy for thoracic esophageal squamous cell carcinoma.

scholarly journals Novel lncRNA Panel as for Prognosis in Esophageal Squamous Cell Carcinoma Based on ceRNA Network Mechanism

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jin Zhang ◽  
Fei Xiao ◽  
Guangliang Qiang ◽  
Zhenrong Zhang ◽  
Qianli Ma ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Esophageal Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Cancer Prognosis ◽  
Gene Expressions ◽  
Biomarker Panel ◽  
Cerna Network ◽  
Prediction Of Prognosis

Background. The competitive endogenous RNA (ceRNA) mechanism has been discovered recently and regulating cancer-related gene expressions. The ceRNA network participates in multiple processes, such as cell proliferation and metastasis, and potentially drives the progression of cancer. In this study, we focus on the ceRNA networks of esophageal squamous cell carcinoma and discovered a novel biomarker panel for cancer prognosis. Methods. RNA expression data of esophageal carcinoma from the TCGA database were achieved and constructed ceRNA network in esophageal carcinoma using R packages. Results. Four miRNAs were discovered as the core of the ceRNA model, including miR-93, miR-191, miR-99b, and miR-3615. Moreover, we constructed a ceRNA network in esophageal carcinoma, which included 4 miRNAs and 6 lncRNAs. After ceRNA network modeling, we investigated six lncRNAs which could be taken together as a panel for prognosis prediction of esophageal cancer, including LINC02575, LINC01087, LINC01816, AL136162.1, AC012073.1, and AC117402.1. Finally, we tested the predictive power of the panel in all TCGA samples. Conclusions. Our study discovered a new biomarker panel which may have potential values in the prediction of prognosis of esophageal carcinoma.

scholarly journals Preoperative C-reactive protein to albumin ratio predicts anastomotic leakage after esophagectomy for thoracic esophageal cancer: a single-center retrospective cohort study

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Atsushi Sugimoto ◽  
Takahiro Toyokawa ◽  
Yuichiro Miki ◽  
Mami Yoshii ◽  
Tatsuro Tamura ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Cancer ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Anastomotic Leakage ◽  
Squamous Cell ◽  
C Reactive Protein ◽  
Thoracic Esophageal Cancer ◽  
Albumin Ratio ◽  
Reactive Protein

Abstract Background Postoperative anastomotic leakage (AL) is associated with not only prolonged hospital stay and increased medical costs, but also poor prognosis in esophageal cancer. Several studies have addressed the utility of various inflammation-based and/or nutritional markers as predictors for postoperative complications. However, none have been documented as specific predictors for AL in esophageal cancer. We aimed to identify predictors of AL after esophagectomy for thoracic esophageal cancer, focusing on preoperative inflammation-based and/or nutritional markers. Methods We retrospectively analyzed 295 patients who underwent radical esophagectomy for thoracic esophageal squamous cell carcinoma between June 2007 and July 2020. As inflammation-based and/or nutritional markers, Onodera prognostic nutritional index, C-reactive protein (CRP)-to-albumin ratio (CAR) and modified Glasgow prognostic score were investigated. Optimal cut-off values of inflammation-based and/or nutritional markers for AL were determined by receiver operating characteristic curves. Predictors for AL were analyzed by logistic regression modeling. Results AL was observed in 34 patients (11.5%). In univariate analyses, preoperative body mass index (≥ 22.1 kg/m2), serum albumin level (≤ 3.8 g/dL), serum CRP level (≥ 0.06 mg/dL), CAR (≥ 0.0139), operation time (> 565 min) and blood loss (≥ 480 mL) were identified as predictors of AL. Multivariate analyses revealed higher preoperative CAR (≥ 0.0139) as an independent predictor of AL (p = 0.048, odds ratio = 3.02, 95% confidence interval 1.01–9.06). Conclusion Preoperative CAR may provide a useful predictor of AL after esophagectomy for thoracic esophageal squamous cell carcinoma.

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