scholarly journals Subtype-Based Analysis of Cell-in-Cell Structures in Esophageal Squamous Cell Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Yuqi Wang ◽  
Zubiao Niu ◽  
Lulin Zhou ◽  
Yongan Zhou ◽  
Qunfeng Ma ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Prognostic Factor ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Tumor Cells ◽  
Squamous Cell ◽  
Prognostic Value ◽  
Cox Regression ◽  
Cell Behaviors ◽  
Kaplan Meier

Cell-in-cell (CIC) structures are defined as the special structures with one or more cells enclosed inside another one. Increasing data indicated that CIC structures were functional surrogates of complicated cell behaviors and prognosis predictor in heterogeneous cancers. However, the CIC structure profiling and its prognostic value have not been reported in human esophageal squamous cell Carcinoma (ESCC). We conducted the analysis of subtyped CIC-based profiling in ESCC using “epithelium-macrophage-leukocyte” (EML) multiplex staining and examined the prognostic value of CIC structure profiling through Kaplan-Meier plotting and Cox regression model. Totally, five CIC structure subtypes were identified in ESCC tissue and the majority of them was homotypic CIC (hoCIC) with tumor cells inside tumor cells (TiT). By univariate and multivariate analyses, TiT was shown to be an independent prognostic factor for resectable ESCC, and patients with higher density of TiT tended to have longer post-operational survival time. Furthermore, in subpopulation analysis stratified by TNM stage, high TiT density was associated with longer overall survival (OS) in patients of TNM stages III and IV as compared with patients with low TiT density (mean OS: 51 vs 15 months, P = 0.04) and T3 stage (mean OS: 57 vs 17 months, P=0.024). Together, we reported the first CIC structure profiling in ESCC and explored the prognostic value of subtyped CIC structures, which supported the notion that functional pathology with CIC structure profiling is an emerging prognostic factor for human cancers, such as ESCC.

scholarly journals The preoperative HALP score (hemoglobin, albumin, lymphocyte and platelet) is a useful predictor in patients with resectable esophageal squamous cell carcinoma

2021 ◽  
Author(s):  
Ji-Feng Feng ◽  
Liang Wang ◽  
Xun Yang
Keyword(s):  
Squamous Cell Carcinoma ◽  
Prognostic Factor ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Roc Curve ◽  
Curative Resection ◽  
Cox Regression ◽  
Prognostic Score ◽  
Cancer Specific Survival

The hemoglobin, albumin, lymphocyte, and platelet (HALP) score has been confirmed as a prognostic factor in several types of cancers. The current study aimed to assess the prognostic value of preoperative HALP score, an inflammatory and nutritional based score, in predicting cancer-specific survival (CSS) in resectable patients undergoing curative resection for esophageal squamous cell carcinoma (ESCC). The clinical data of 355 consecutive patients with ESCC who underwent curative resection were retrospectively conducted and analyzed. The receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value for preoperative HALP. The areas under the curve (AUC) for preoperative HALP and other variables were calculated and compared. Cox regression analyses and Kaplan-Meier methods were used to identify the factors associated with CSS. According to the ROC curve, the optimal cut-off value for preoperative HALP was 31.8. The 5-year CSS for preoperative HALP low (≤31.8) and high (>31.8) was 15.1% and 47.5%, respectively (p<0.001). Preoperative HALP had reliable abilities to predict CSS in resectable ESCC patients in any stage or gender, according to the subgroup analysis based on the patients' cancer stage and gender. Multivariate analyses confirmed that preoperative HALP was an independent prognostic score regarding CSS in patients with resectable ESCC (p<0.001). This study confirmed that the preoperative HALP score could be regarded as a potential independent prognostic factor for CSS in patients with resectable ESCC.

scholarly journals Development and Validation of a Ferroptosis-Related Gene Signature and Nomogram for Predicting the Prognosis of Esophageal Squamous Cell Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Jiecheng Ye ◽  
Yining Wu ◽  
Heyuan Cai ◽  
Li Sun ◽  
Wanying Deng ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Risk Score ◽  
Squamous Cell ◽  
Prognostic Value ◽  
Cox Regression ◽  
Risk Group ◽  
Clinical Variable ◽  
Cox Regression Analysis

Esophageal squamous cell carcinoma (ESCC) is a common malignant tumor with high mortality and poor prognosis. Ferroptosis is a newly discovered form of cell death induced by iron-catalyzed excessive peroxidation of polyunsaturated fatty acids (PUFAs). However, the prognostic value of ferroptosis-related genes (FRGs) for ESCC remains unclear. Based on the ESCC dataset from the Gene Expression Omnibus (GEO) database, we identified 39 prognostic FRGs through univariate Cox regression analysis. After LASSO regression and multivariate Cox regression analyses, a multigene signature based on 10 prognostic FRGs was constructed and successfully divided ESCC patients into two risk groups. Patients in the low-risk group showed a significantly better prognosis than patients in the high-risk group. In addition, we combined the risk score with clinical predictors to construct a nomogram for ESCC. The predictive ability of the nomogram was further verified by ROC curves and calibration plots in both the training and validation sets. The predictive power of the nomogram was demonstrated to be better than that of either the risk score or clinical variable alone. Furthermore, functional analysis revealed that the 10-FRG signature was mainly associated with ferroptosis, differentiation and immune response. Connectivity map analysis identified potential compounds capable of targeting FRGs in ESCC. Finally, we demonstrated the prognostic value of SRC gene in ESCC using the clinical samples and found that SRC inhibition sensitized ESCC cells to ferroptosis inducers by in vitro experiments. In conclusion, we identified and verified a 10-FRG prognostic signature and a nomogram, which provide individualized prognosis prediction and provide insight into potential therapeutic targets for ESCC.

scholarly journals Identification of the Prognostic Value of Tumor Microenvironment-Related Genes in Esophageal Squamous Cell Carcinoma

2020 ◽  
Vol 7 ◽  
Author(s):  
Donglei Zhang ◽  
Changlin Qian ◽  
Huabing Wei ◽  
Xiaozhe Qian
Keyword(s):  
Squamous Cell Carcinoma ◽  
Tumor Microenvironment ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Risk Score ◽  
Squamous Cell ◽  
Prognostic Value ◽  
Cox Regression ◽  
Expression Profiles ◽  
Cox Regression Analysis

Background: Esophageal squamous cell carcinoma (ESCC) is the most prevalent histological type of esophageal cancer, but there is a lack of definite prognostic markers for this cancer.Methods: We used the ESTIMATE algorithm to access the tumor microenvironment (TME) of ESCC cases deposited in the TCGA database, and identified TME-related prognostic genes using Cox regression analysis. A least absolute shrinkage and selector operation or LASSO algorithm was used to identify key prognostic genes. Risk scores were calculated, and a clinical predictive model was constructed to evaluate the prognostic value of TME-related genes.Results: We found that high immune and stromal scores were significantly associated with poor overall survival (p &lt; 0.05). We identified a total of 1,151 TME-related differently expression genes, among which 67 were prognosis-related genes. Through the LASSO method, 13 key prognostic genes were selected, namely, ADAMTS16, LOC51089, CH25H, CORO2B, DLGAP1, GYS2, HAL, MXRA8, NPTX1, OTX1, RET, SLC24A2, and SPI1, and a 13-gene risk score was constructed. A higher score was indicative of a poorer prognosis than a lower risk score (hazard ratio = 8.21, 95% confidence interval: 2.56–26.31; P &lt; 0.001). The risk score was significantly correlated with immune/stromal scores and various types of infiltrating immune cells, including CD8 cells, regulatory T cells, and resting macrophages.Conclusion: We characterized the tumor microenvironment in ESCC, and identified the key prognosis genes. The risk score based on the expression profiles of these genes is proposed as an indicator of TME status and is instrumental in predicting patient prognosis.

Prognostic value of VEGF expression in primary esophageal squamous cell carcinoma

2004 ◽  
Vol 16 (2) ◽  
pp. 85-89 ◽  
Author(s):  
Wei-guo Xu ◽  
Guo-li Yang ◽  
Li-xin Zhou ◽  
Yu-quan Xie ◽  
Li-jian Zhang
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Value ◽  
Vegf Expression

scholarly journals Prognostic impact of lymph node metastasis along the left gastric artery in esophageal squamous cell carcinoma

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Xuan Liu ◽  
Leilei Wu ◽  
Dongkun Zhang ◽  
Peng Lin ◽  
Hao Long ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Cox Regression ◽  
Left Gastric Artery ◽  
Prognostic Impact ◽  
Gastric Artery ◽  
Term Survival

Abstract Background Although the incidence of lymph node (LN) metastasis (LNM) along the left gastric artery is high, its relationship with the prognosis in postoperative patients with esophageal squamous cell carcinoma (ESCC) is rarely reported. This study clarified the prognostic impact of LNM along the left gastric artery in postoperative patients with ESCC. Methods This study assessed data of 1521 patients with ESCC who underwent esophagectomy at the Sun Yat-sen University Cancer Center between March 1992 and March 2012. A chi-squared test and Mann-Whitney U test were used to explore the preliminary correlation between clinical factors and LNM along the left gastric artery. Univariate and multivariate Cox regression analyses were used to assess whether LNM along the left gastric artery was an independent predictor of overall survival. Kaplan–Meier analysis and the log-rank test were used to present a classifying effect based on LN status. Results LNM was observed in 598 patients (39.3%) and was found along the branches of the left gastric artery in 256 patients (16.8%). The patients were classified into two groups based on the presence of LNM along the left gastric artery. Patients without LNM along the left gastric artery had better cancer-specific survival than those with positive LNs (P <  0.001). Conclusions This study indicated that LNM along the left gastric artery was an important independent prognostic factor for long-term survival among ESCC patients (P = 0.011).

scholarly journals The prognostic value of EGFR overexpression and amplification in Esophageal squamous cell Carcinoma

BMC Cancer ◽  
2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Dongxian Jiang ◽  
Xiaojing Li ◽  
Haixing Wang ◽  
Yuan Shi ◽  
Chen Xu ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Value
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