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Objective: To compare the long-term prognosis effects of non-esophagectomy and esophagectomy on patients with T1 stage esophageal cancer. Methods: All esophageal cancer patients in the study were included from the National Surveillance Epidemiology and End Results (SEER) database between 2005-2015. These patients were classified into non-esophagectomy group and esophagectomy group according to therapy methods and were compared in terms of esophagus cancer specific survival (ECSS) and overall survival (OS) rates. Results: A total of 591 patients with T1 stage esophageal cancer were enrolled in this study, including 212 non-esophagectomy patients and 111 esophagectomy patients in the T1a subgroup and 37 non-esophagectomy patients and 140 esophagectomy patients in the T1b subgroup. In all T1 stage esophageal cancer patients, there was no difference in the effect of non-esophagectomy and esophagectomy on postoperative OS, but postoperative ECSS in patients treated with non-esophagectomy was significantly better than those treated with esophagectomy. Cox proportional hazards regression model analysis showed that the risk factors affecting ECSS included race, primary site, tumor size, grade, and AJCC stage but factors affecting OS only include tumor size, grade, and AJCC stage in T1 stage patients. In the subgroup analysis, there was no difference in either ECSS or OS between the non-esophagectomy group and the esophagectomy group in T1a patients. However, in T1b patients, the OS after esophagectomy was considerably better than that of non-esophagectomy. Conclusions: Non-esophagectomy, including a variety of non-invasive procedures, is a safe and available option for patients with T1a stage esophageal cancer. For some T1b esophageal cancer patients, esophagectomy cannot be replaced at present due to its diagnostic and therapeutic effect on lymph node metastasis. [ABSTRACT FROM AUTHOR]

Objective. A survival risk assessment model associated with a lung adenocarcinoma (LUAD) microenvironment was established and evaluated to identify effective independent prognostic factors for LUAD. Methods. The public data were downloaded from the TCGA database, and ESTIMATE prediction software was used to score immune cells and stromal cells for tumor purity prediction. The samples were divided into the high-score group and the low-score group by the median value of the immune score (or stromal score). The Wilcoxon test was used for differential analysis. GO and KEGG enrichment analysis of differentially expressed genes (DEGs) was performed using "clusterProfiler" of R package. Meanwhile, univariate and multivariate regression analysis was performed on DEGs to construct a multivariate Cox risk regression model with variable gene expression levels as independent prognostic factors affecting a tumor microenvironment (TME) and tumor immunity. Results. This study found that LUAD patients with high immune cell (stromal cell) infiltration had better prognosis and were in earlier staging. Functional enrichment analysis revealed that most DEGs were related to the proliferation and activation of immune cells or stromal cells. A survival prediction model composed of 6 TME-related genes (CLEC17A, TAGAP, ABCC8, BCAN, FLT3, and CCR2) was established, and finally, the 6 feature genes closely related to the prognosis of LUAD were proved. The AUC value of the ROC curve in this model was 0.7, indicating that the model was reliable. Conclusion. Six genes related to the LUAD microenvironment have a predictive prognostic value in LUAD. [ABSTRACT FROM AUTHOR]

Objective: Esophagectomies are associated with high mortality and various complications. Previous studies reported on the short-term outcomes were heterogeneous and inconsistent in comparing minimally invasive esophagectomy (MIE) with traditional open esophagectomy (OE). The objective of this study is to compare the short-term outcomes between MIE and OE calculated using Comprehensive Complication Index (CCI) which incorporates all complication severities.Materials and Methods: We did expertise-based randomized controlled trial from September 2014 to October 2015. A total of 144 patients with resectable cancer were randomly selected to be treated by OE or MIE. The CCI was calculated using the Clavien-Dindo classification grade of all postoperative complications collected. Demographic characteristics, preoperative clinical assessment, postoperative complications, and CCI of patients were compared between both groups.Results: Among the 144 patients included in this study, 97 underwent OE and 47 underwent MIE. Demographics, preoperative clinical assessment, and inpatient mortality in both cohorts were almost identical. Eighty-four patients (86.6%) of OE group and 26 patients (55.3%) of MIE group suffered from complications. A significant difference was observed in blood transfusion (P = 0.04), moderate and severe pain (P < 0.01), and diarrhea (P = 0.03) between two groups. There was an obvious statistical significance of CCI between OE and MIE groups (P = 0.036).Conclusions: The CCI is a promising scoring system that could be used to assess the severity of complications after esophagectomy. MIE could improve the short-term outcomes by reducing some mild and moderate complications. [ABSTRACT FROM AUTHOR]

The prognostic nutritional index (PNI) has been reported to be a prognostic indicator in some malignant tumors. However, its prognostic value in nonsmall cell lung cancer (NSCLC) has not been fully investigated. A retrospective review of 1416 patients with NSCLC who underwent radical surgery between January 2006 and December 2011 was conducted. To obtain optimal cutoff levels of PNI, running log-rank statistics was applied. Survival was calculated by the Kaplan-Meier method. The prognostic significance of PNI, together with various clinicopathological factors, was evaluated by multivariate analysis. The optimal cutoff point for PNI was 52. The 1-, 3-, and 5-yr survival rates in patients with PNI of less than 52 were 80.0%, 61.3%, and 50.4%, respectively, and were significantly more unfavorable than those in patients with PNI 52 or higher (84.7%, 71.5%, and 60.3%, respectively,P< 0.001). Multivariate analysis suggested that gender (P= 0.026), age (P< 0.001), PNI (P= 0.005), differentiation (P= 0.024), pathology T category (P= 0.003), and pathology N category (P< 0.001) were revealed to be independent prognostic factors. Our results indicate that PNI is an independent predictor of survival for patients undergoing radical surgery with NSCLC. [ABSTRACT FROM AUTHOR]