Analysis of Preoperative Metabolic Risk Factors Affecting the Prognosis of Patients with Esophageal Squamous Cell Carcinoma: The Fujian Prospective Investigation of Cancer (FIESTA) Study

Peng, Feng; Hu, Dan; Lin, Xiandong; Chen, Gang; Liang, Binying; Zhang, Hejun; Dong, Xiaoqun; Lin, Jinxiu; Xiao, Zheng; Niu, Wenquan

doi:10.1016/j.ebiom.2017.01.035

Cited by 30 publications

(39 citation statements)

References 36 publications

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“…The effect of MetS on prognosis was largely mediated by single metabolic components such as hyperglycemia and dyslipidemia (13). Our study showed similar results but mainly reflected in the overall effect, not the single factor.…”

Section: Discussionsupporting

confidence: 81%

“…China has the highest incidence of esophageal cancer, especially ESCC, and the most important risk factors may be inadequate intake of fruits and vegetables, poor nutritional status, and drinking hot beverages and food (36,37). Currently, based on population analysis, some studies (13,15,18) have indicated that MetS is associated with the prognosis of ESCC patients.…”

Section: Discussionmentioning

confidence: 99%

“…Preoperative clinical information about MetS, including preoperative body mass index, fasting blood glucose level, blood pressure, and triglyceride and high-density lipoprotein cholesterol levels, was collected. We defined MetS in our study according to the criteria of the Chinese Diabetes Society in 2004 as previous studies shown (13). Recurrence-free survival (RFS) was collected and defined as the interval from the data of surgery to the end of follow-up results or death.…”

Section: The Reanalysis Of Escc Patient Clinical Datamentioning

confidence: 99%

“…Esophageal cancer is the fourth most common cancer in China, with a 5-year survival rate of ∼20%, because patients are often diagnosed at an advanced stage (11)(12)(13). Some studies have shown that obesity or MetS is associated with the risk and development of esophageal cancer (13)(14)(15)(16)(17)(18). A prospective study of 2,396 esophageal squamous cell carcinoma (ESCC) patients demonstrated that MetS was a significant independent predictor of poor prognosis and was associated with glycolipid metabolism disorder (13).…”

Section: Introductionmentioning

confidence: 99%

“…Some studies have shown that obesity or MetS is associated with the risk and development of esophageal cancer (13)(14)(15)(16)(17)(18). A prospective study of 2,396 esophageal squamous cell carcinoma (ESCC) patients demonstrated that MetS was a significant independent predictor of poor prognosis and was associated with glycolipid metabolism disorder (13). However, studies have also shown that MetS might be a good prognostic factor because of the good nutritional status of ESCC patients (15,18).…”

Section: Introductionmentioning

confidence: 99%

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The Prognostic Significance of Metabolic Syndrome and a Related Six-lncRNA Signature in Esophageal Squamous Cell Carcinoma

et al. 2020

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Background: Metabolic syndrome (MetS) is associated with the development of esophageal squamous cell carcinoma (ESCC), and long non-coding RNAs (lncRNAs) are involved in a variety of mechanisms of MetS and tumor. This study will explore the prognostic effect of MetS and the associated lncRNA signature on ESCC.Methods: Our previous RNA-chip data (GSE53624, GSE53622) for 179 ESCC patients were reanalyzed according to MetS. The recurrence-free survival (RFS) was collected for these patients. The status of the MetS-related tumor microenvironment was analyzed with the CIBERSORT and ESTIMATE algorithms. A lncRNA signature was established with univariate and multivariate Cox proportional hazards regression (PHR) analysis and verified using the Kaplan-Meier survival curve analysis and time-dependent receiver operating characteristic (ROC) curves. A clinical predictive model was constructed based on multiple risk factors, evaluated using C-indexes and calibration curves, and verified using data from the GEO and TCGA databases. Results:The results showed that MetS was an independent risk factor for ESCC patients conferring low OS and RFS. Tumor microenvironment analysis indicated that patients with MetS have high stromal scores and M2 macrophage infiltration. A six-lncRNA signature was established by 60 ESCC patients randomly selected from GSE53624 and identified with an effective predictive ability in validation cohorts (59 patients from GSE53624 and 60 patients from GSE53622), subgroup analysis, and ESCC patients from TCGA. MetS and the six-lncRNA signature could be regarded as independent risk factors and enhanced predictive ability in the clinical predictive model. Conclusions:Our results indicated that MetS was associated with poor prognosis in ESCC patients, and the possible mechanism was related to changes in the tumor microenvironment. MetS and the six-lncRNA signature could also serve as independent risk factors with available clinical application value.

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Section: Discussionsupporting

confidence: 81%

Section: Discussionmentioning

confidence: 99%

Section: The Reanalysis Of Escc Patient Clinical Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Prognostic Significance of Metabolic Syndrome and a Related Six-lncRNA Signature in Esophageal Squamous Cell Carcinoma

et al. 2020

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Prediction of presurgical metabolic syndrome for gastric cancer‐specific mortality is more evident in smokers: The FIESTA study

Zhang

Deng

et al. 2022

Cancer Medicine

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Backgrounds We aimed to test whether the prediction of presurgical metabolic syndrome for postsurgical survival outcomes of gastric cancer hinges upon cigarette smoking status. Methods This study is a part of the ongoing Fujian prospective investigation of cancer (FIESTA) study. Patients with gastric cancer received radical resection of primary gastric cancer between January 2000 and December 2010, with the latest follow‐up ended in December 2015. The 1:1 propensity score matching analysis was adopted to balance confounders between smokers and never‐smokers. Effect‐size estimates are expressed as hazard ratio (HR) with 95% confidence interval (CI). Model performance was evaluated using the Hosmer and Lemeshow test and 10‐fold cross‐validated area under the receiver operating characteristic curve (AUROC). Statistical analyses were completed with SAS software (v9.4). Results Total 2779 patients with gastric cancer were analyzed, including 2223 smokers and 556 never‐smokers. Median follow‐up time was 45.6 months. Cigarette smoking was not associated with postsurgical survival differences. Presurgical metabolic syndrome complication was significantly associated with increased gastric cancer‐specific mortality in smokers (HR [95% CI]: 2.73 [1.53–4.89], p < 0.001), but not in never‐smokers. Relative excess risk due to interaction was estimated to be 2.43 (95% CI: 0.40–4.45). After constructing a risk assessment score, one unit increment was associated with 10% reduced risk of gastric cancer‐specific mortality (HR [95% CI]: 0.90 [0.88–0.91], p < 0.001), with 10‐fold cross‐validated AUROC being 0.82 (95% CI: 0.74–0.92). Conclusions Our findings showed that the prediction of presurgical metabolic syndrome for gastric cancer‐specific mortality was more evident in smokers. Practically, this study provides evidence base for future personalized prediction and helped risk‐stratify gastric cancer patients who might experience serious postsurgical consequences.

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The prognostic value of the preoperative inflammatory index on the survival of glioblastoma patients

Nyalali

et al. 2022

Neurol Sci

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Objectives The growth and development of tumors are closely related to the initiation and amplification of the inflammatory response. Various inflammatory biomarkers had attained growing attention for nearly two decades and were discovered strongly associated with cancer patients’ prognosis, indicating that systemic inflammatory response is possibly essential to cancer progression. However, little was known about the sensitive biomarkers associated with the detection, persistence, treatment, and prognosis of GBM. Hence, the retrospective research endeavored to evaluate the prognostic value of preoperative inflammatory biomarkers in patients with GBM who initially received standardized treatment. Methods The 232 glioblastoma patients eligible who were admitted to Qilu Hospitals in Shandong Province from January 2014 to January 2018 were collected for this analysis. Inflammatory markers, including the systemic immune-inflammation index (SII), systemic immune response index (SIRI), neutrophil–lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR), and albumin/globulin ratio (AGR), were designed. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan–Meier method, and we calculated the area under the ROC curve to determine the AUC value. Besides, we used the Cox proportional hazard model to estimate the relationship between variables and PFS and OS. The statistical differences between variables and PFS and OS were tested through the log-rank test. What is more, the LR method was used to perform Cox multiple regression analysis. The results were represented by hazard ratio (HR), 95% CI, any 2-tailed P < 0.01 was accepted as statistically different. Results The multivariate Cox proportional hazard model presented that SII ≥ 659.1 was an independent risk factor affecting OS (HR = 2.238, 95% CI = 1.471–3.406, P < 0.001) and postoperative PFS (HR = 2.000, 95% CI = 1.472–2.716, P < 0.001) in GBM patients. The 1-, 3-, and 5-year OS of the SII < 659.1 group was 70.8%, 26.9%, and 14.1%, respectively, while the 1- and 3-year OS of the SII ≥ 659.1 group was 37.5% and 11.5% ( P < 0.001). The 1-, 3-, and 5-year PFS of the SII < 659.1 group was 36.3%, 19.6%, and 13%, respectively, while the 1-year PFS of the SII ≥ 659.1 group was 11.3% ( P < 0.001). Results of patients’ clinical and pathological characteristics paraded that in comparison to the lower SII group, the higher SII group had significantly inferior Karnofsky Performance Scale (KPS) scores ( P < 0.001) and more frequent cystic changes of the tumors ( P < 0.001), whereas the values of SIRI, NLR, PLR, MLR, and AGR were low. Conclusions SII is an independent inflammatory indicator for predicting the prognosis of GBM pa...

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Analysis of Preoperative Metabolic Risk Factors Affecting the Prognosis of Patients with Esophageal Squamous Cell Carcinoma: The Fujian Prospective Investigation of Cancer (FIESTA) Study

Cited by 30 publications

References 36 publications

The Prognostic Significance of Metabolic Syndrome and a Related Six-lncRNA Signature in Esophageal Squamous Cell Carcinoma

The Prognostic Significance of Metabolic Syndrome and a Related Six-lncRNA Signature in Esophageal Squamous Cell Carcinoma

Prediction of presurgical metabolic syndrome for gastric cancer‐specific mortality is more evident in smokers: The FIESTA study

The prognostic value of the preoperative inflammatory index on the survival of glioblastoma patients

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