CAP1 signaling regulates tumor immunity, proliferation, and migration in esophageal cancer

The prognosis of patients with esophageal cancer remains poor. TNM classification is not sufficient to predict the prognosis. Therefore, novel predictive markers of the prognosis of esophageal cancer patients are awaited. The abnormality of the nucleotide excision repair (NER) is often involved in human cancers. Excision repair cross complementing 3 (ERCC3) contributes to NER. In esophageal cancer, ERCC3 expression has not been studied. Expression of ERCC3 was quantified by real-time reverse transcription polymerase chain reaction (RT-PCR) using LightCycler in 43 primary esophageal squamous cell carcinomas (ESCCs) and their paired normal esophageal mucosa. We examined the correlation between the ERCC3 expression and the clinicopathological factors and prognosis of ESCC patients. ERCC3 expression level was significantly correlated with the pathologic stage, tumor size and local invasiveness (t-factor) in esophageal cancer tissues. Reduced expression of ERCC3 was accompanied with tumor progression (p=0.0049) and higher pathologic stage (p=0.020). Moreover, ESCC patients with low ERCC3 mRNA expression had significantly shorter post-operative survival time than those with high expression (p=0.0003). In esophageal cancer, reduced expression of ERCC3 was correlated with local tumor progression and poor prognosis after operation.

Ring box protein-1 (RBX1) is an essential component of the S-phase kinase-associated protein, Cullin and F-box containing ubiquitin ligases. Overexpression of RBX1 has been reported in several cancer types; however, little is known regarding the prognostic value and role of RBX1 in esophageal cancer. The present study examined 120 patients with esophageal cancer (EC) who underwent curative esophagectomy and 61 patients with EC who underwent neoadjuvant combination chemotherapy with docetaxel, cisplatin and 5-fluorouracil (5-FU; DCF) using immunohistochemistry. All specimens were classified into two groups according to the percentage of RBX1-positive tumor cells. In addition, the impact of RBX1 expression on cancer cell proliferation was analyzed in vitro using a small interfering RNA silencing technique. RBX1 expression levels showed significant differences according to tumor size (P<0.001), tumor depth (P=0.002), lymph node metastasis (P=0.004), pathological stage (P=0.001), lymphatic invasion (P=0.001) and venous invasion (P=0.001). The overall survival (OS) rate in the RBX1 high expression group was significantly lower compared with that in the low group (P=0.004). Multivariate analysis demonstrated that RBX1 status was an independent prognostic factor. RBX1 gene silencing inhibited the proliferation of human EC cells and enhanced the antitumor effect of 5-FU. Among patients who underwent neoadjuvant DCF therapy, the RBX1 high expression group had a significantly lower OS rate compared with that of the RBX1-low group (P<0.001). In conclusion, RBX1 has notable prognostic value, and RBX1 may serve an important function in the tumor progression of EC.

As a member of m6A methylated binding protein, RNA binding motif protein X-linked (RBMX) has been reported to be associated with tumor invasion, metastasis and prognosis. However, the prognostic significance of RBMX expression in esophageal cancer (ESCA) remains unclear. Based on the TIMER database, GEPIA database, cBioPortal database, CIBERSORT deconvolution algorithm, String-DB database, LinkedOmics database, etc., the RBMX expression level, mRNA expression level, prognostic relationship, genetic mutation, immune cell infiltration level, protein interaction network, differential co-expression genes and functional enrichment in esophageal carcinoma were analyzed. Immunohistochemistry was used to detect the expression of RBMX in 53 cases of esophageal carcinoma and adjacent esophageal tissues. The RBMX expression in ESCA tissue was significantly higher than that in the normal tissues. The overall survival (OS) of patients with high RBMX expression was significantly lower than that of patients with low expression (P=0.04). The protein encoded by the RBMX gene appeared to copy number amplification, mutation and deep deletion. The expression level of RBMX was positively correlated with the levels of follicular helper T cells, eosinophils and initial B cells (P<0.05). Genes significantly and positively correlated with RBMX expression included HNRNPA1L2, SFRS13A, HNRNPA1, etc., which were mainly enriched in biological processes (BPs) such as cell division, mRNA splicing, RNA binding and mRNA 3'-UTR binding. RBMX may be as a biomarker of poor prognosis of ESCA. RBMX is closely related to the survival and prognosis, genetic mutation and immune cell infiltration of patients with ESCA.

Genes encoding transmembrane proteins expressed specifically in cancer cell may be ideal biomarkers for diagnosis. Previously, we showed that overexpression of PCDHB9, which was identified as a transmembrane protein, promotes peritoneal metastasis and correlates with poor prognosis in patients with gastric cancer. However, expression of PCDHB9 in esophageal cancer remains unclear. In the present study, we investigated the expression and function of PCDHB9 in esophageal squamous cell carcinoma (ESCC). Immunohistochemical analysis demonstrated that 51 (40%) of 128 GC cases were positive for PCDHB9. PCDHB9 expression was correlated with T classification, N classification and tumor stage. There was no significant correlation between PCDHB9 expression and patient survival. Cell adhesion to fibronectin and invasion activity were significantly reduced by PCDHB9 knockdown. These results suggest that PCDHB9 may be a novel biomarker and therapeutic target for ESCC. Citation Format: Naohide Oue, Yuji Yamamoto, Ryuichi Asai, Naoya Sakamoto, Kazuhiro Sentani, Wataru Yasui. Overexpression of PCDHB9 is correlated with tumor progression in esophageal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 612.

Transforming growth factor (TGF)-beta regulates cell growth inhibition. When tumor cells lose their sensitivity to TGF-beta growth inhibition, the excess TGF-beta that results may act on tumor cells to facilitate tumor development. Previously, we have shown that an elevated systemic TGF-beta 1 level is not related to tumor progression in esophageal cancer (Y. Fukai et al., Int J Cancer 2003;104:161-6). We considered that systemic inflammation or chronic disease, in addition to the tumor, may influence the plasma TGF-beta level. Therefore, we examined the hypothesis that the plasma TGF-beta level measured from the azygos vein would independently predict tumor progression and prognosis in patients with esophageal cancer. Fifty-seven plasma samples were obtained intraoperatively from the azygos vein in patients with esophageal cancer. ELISA was used to quantify the plasma TGF-beta 1 levels, which were correlated with pathological features and patient survival. The mean plasma TGF-beta 1 level measured from the azygos vein of esophageal cancer patients was 5.09 +/- 0.48 ng/ml (mean +/- SE). The survival rates of patients with a high TGF-beta 1 level (defined as a level above the 4.6 ng/ml level of normal controls) in the azygos vein were significantly lower than those of patients with a low TGF-beta 1 level (P = 0.0317). Moreover, the TGF-beta 1 level in the azygos vein was an independent prognostic factor for overall survival (P = 0.0474). The level of plasma TGF-beta 1 measured from the azygos vein is an independent predictor in patients with esophageal cancer and may reflect tumor progression more specifically because the azygos vein is responsible for venous return from the esophagus.

Tumor-associated macrophages(TAM),a major component of the tumor microenvironment, play key roles in tumor formation and progression; however, mechanisms underlying TAM-induced tumor progression are complex and not well known. We previously reported that tumor cell-derived angiopoietin-like protein 2 (ANGPTL2) functions as a tumor promoter in some cancer contexts. We examined ANGPTL2 expression in paraffin-embedded tumor samples from resected specimens of 221 patients with esophageal cancer. Patients were subdivided into four groups based on immunohistochemistry scores described above: ANGPTL2-low/TAM-low, ANGPTL2-low/TAM-high, ANGPTL2-high/TAM-low, and ANGPTL2-high/TAM-high groups. Gene expression datasets of esophageal cancer cell lines were obtained from the cancer cell line encyclopedia public database. In this study, we demonstrate that TAM infiltration is associated with poor prognosis in patients with esophageal cancer whose tumor cells show relatively higher ANGPTL2 expression levels; however, TAM infiltration did not affect prognosis in patients with ANGPTL2-low-expressing esophageal cancer, suggesting that ANGPTL2 expression in esophageal cancer cells is required for TAM-induced tumor progression. Our analysis of public datasets indicates a potential positive correlation of ANGPTL2 expression levels with that of transforming growth factor (TGF)-β, a TAM-activating factor, in esophageal cancer cell lines. We conclude that ANGPTL2 signaling in tumor cells supports TAM-induced tumor progression and contributes to poor prognosis in patients with esophageal cancer. These findings overall provide novel insight into pro-tumor ANGPTL2 functions and illustrate the essential role of cancer cell/TAM crosstalk in cancer progression.

The ability of cancer cells to initiate specific fibroblast reactions may subsequently determine tumor evolution. In the present study we examined the coordinated expression of transforming growth factor-beta-1 (TGF-beta1), its signaling receptors, and its downstream mediator-connective tissue growth factor (CTGF)--and their impact on tumor progression and fibrogenesis in esophageal carcinomas. Messenger ribonucleic acid (mRNA) expression of TGF-beta1, CTGF, TGF-beta receptor subtype I ALK5 (TbetaR-IALK5), and TGF-beta receptor type II (TbetaR-II) was studied by Northern blot analysis in esophageal cancer and the normal esophagus. By means of immunohistochemistry and Western blot analysis, the respective proteins were localized in the tissue samples and the protein content was quantitated. Northern blot analysis revealed 3-fold and 4-fold increases (p < 0.05) in TGF-beta1 and CTGF mRNA levels, respectively, in esophageal cancer in comparison with normal controls, whereas TbetaR-I mRNA levels were significantly decreased and TbetaR-II mRNA levels were unchanged in the cancer samples. Immunostaining revealed results similar to those seen on the RNA level. TGF-beta1 and CTGF immunoreactivity were increased, TbetaR-II was unchanged, and TbetaR-IALK5 immunoreactivity was decreased. CTGF immunoreactivity was mainly present in the stroma surrounding the cancer cells but was also present in the cancer cells. The degree of fibrosis was different in squamous and adenocarcinomas and was significantly related to CTGF mRNA expression levels. The presence of CTGF in squamous cell carcinomas was associated with longer survival, whereas in adenocarcinomas it influenced survival negatively. The findings indicate that TGF-beta signaling is disturbed in esophageal cancer. CTGF, a downstream effector of TGF-beta action, differentially influences the composition of tumor microenvironment and distinct cell-matrix interactions in the two histological types of esophageal carcinoma, resulting in differences in tumor progression and patient survival.

Background: Numerous studies have reported that systemic immune-inflammation index (SII) and C-reactive protein-to-albumin ratio (CAR) correlate with tumor progression and prognosis in various types of human cancer. The aim of this study is to systematically investigate the clinical significance of SII and CAR in esophageal cancer (EC).Methods: We searched a number of databases for articles reporting the effect of pretreatment SII and CAR on the survival of EC patients. Review Manager 5.3 and STATA/SE 14.1 were applied in this meta-analysis. The multivariable-adjusted hazard ratio (HR) was used for calculating the relationship between SII and CAR and overall survival (OS), and the odds ratio (OR) was applied for the clinical pathology.Results: Five original studies for SII and seven original datasets for CAR were included for analysis. Increased SII showed a significant association with shorter OS in EC patients after surgery (HR: 1.34, 95% CI: 1.15–1.53, P<0.001) and high CAR indicated worse long-term OS in EC (HR: 1.60, 95% CI: 1.29–1.90, P<0.001). Different subgroup analyses were also confirmed the prognostic roles in EC patients. Furthermore, the adverse impacts of elevated SII and CAR on tumor progression were revealed in the infiltration depth, lymph node metastasis, and clinical stage.Conclusions: Both pretreatment SII and CAR might be promising predictors of cancer survival and tumor progression in EC. Further studies are warranted to verify the clinical usefulness in patients with EC.

Matrix metalloproteinase 7 (MMP-7) may play a key role in the progression of various human malignant tumors. Nuclear beta-catenin enhances the activating expression of MMP-7 genes by binding with the T-cell factor/lymphoid enhancer factor family of transcription factors. We immunohistochemically examined the expression of MMP-7 and beta-catenin to better understand the significance of these factors in the progression of esophageal squamous cell carcinoma. The entire coding region of beta-catenin exon 3 was also analyzed by direct sequencing in all cases. We found that MMP-7 was expressed in 7 (20.6%) of 34 esophageal squamous cell carcinomas. There was a significant relationship between MMP-7 expression and tumor invasion into adjacent structures (P < 0.05). Aberrant nuclear expression of beta-catenin was found in 12 of 34 (35.3%) esophageal cancers and correlated with MMP-7 expression, the statistical difference being (P < 0.05). None of the 34 esophageal cancers examined carried mutations in beta-catenin exon 3. MMP-7 expression correlates with penetrating tumor progression in esophageal cancer. Nuclear translocation of beta-catenin, without mutations in beta-catenin exon 3, is associated with MMP-7 expression.

Radiation resistance is a major cause of esophageal cancer relapse or metastasis. Transcriptional coactivator with PDZ binding domain (TAZ) is a final effector of the Hippo signaling pathway and plays critical roles in several types of cancer, but how it participates in the progression and radiation resistance of esophageal cancer remains unclear. Here, we revealed that TAZ was the strongest prognostic factor among Hippo pathway members. Overexpression of TAZ predicted poor outcome and adverse pathological features. In cell and animal models, TAZ facilitated cell proliferation, motility, and radiation resistance. Additionally, TAZ promoted expression of nonhomologous end joining (NHEJ)‐related genes, which are the main contributors to repair irradiation‐induced DNA breaks and result in radiation resistance. Amplification of the TAZ gene occurred in 2.5%‐3.2% of esophageal cancers. In addition, the CpG islands of the TAZ gene were demethylated in esophageal cancer under thymine DNA glycosylase (TDG) regulation. Knockdown of TDG inhibited cell growth, motility, and radiation resistance, which were overridden by TAZ overexpression. Collectively, these findings suggest that the TDG/TAZ/NHEJ axis is a critical player in esophageal cancer progression and radiation resistance, as well as a potential target for radiotherapy.

Role of mitochondrial DNA 4977-bp deletions in esophageal cancer susceptibility and prognosis in a northern Indian population

The epidermal growth factor receptor (EGFR) level in 56 esophageal cancer tissues was measured by 125I-EGF binding assay to elucidate its role in tumor progression. The survival rate of patients with high EGFR level (more than 50 fmol/mg protein) was significantly lower than that of patients with low EGFR level (less than 50 fmol/mg protein, P less than 0.01), although a correlation between EGFR level and the pathologic findings was not observed. The expression of EGF was examined immunohistochemically using anti-EGF monoclonal antibody in 100 esophageal cancer tissues; EGF-positive tumor cells were detected in 92.0%. The immunoreactivity of EGF was classified arbitrarily into four grades according to the number of stained tumor cells. The expression of EGF significantly correlated with the differentiation of esophageal squamous cell carcinoma (P less than 0.01, by chi-square test). The survival rate of patients with high EGF immunoreactivity (Grade 2 or 3) was much lower than in those with lower grade (0 or 1) tumors, (P less than 0.01). Patients with both high EGFR level and EGF immunoreactivity had a much worse prognosis than if both were low. Furthermore, the mitotic index was higher in groups with both high EGFR and EGF than if both were low (16.39 +/- 5.35 versus 6.90 +/- 3.31). These results suggest that EGF and EGFR in the autocrine system may play an important role in tumor progression in esophageal cancer and their expression could be of prognostic significance.

Lysyl-oxidase like-2 (LOXL2) regulates extracellular matrix remodeling and promotes tumor invasion and metastasis. Altered metabolism is a core hallmark of cancer, however, it remains unclear whether and how LOXL2 contributes to tumor metabolism. Here, we found that LOXL2 and its catalytically inactive L2Δ13 splice variant boost glucose metabolism of esophageal tumor cells, facilitate tumor cell proliferation and promote tumor development in vivo. Consistently, integrated transcriptomic and metabolomic analysis of a knock-in mouse model expressing L2Δ13 gene revealed that LOXL2/L2Δ13 overexpression perturbs glucose and lipid metabolism. Mechanistically, we identified aldolase A, glyceraldehyde-3-phosphate dehydrogenase and enolase as glycolytic proteins that interact physically with LOXL2 and L2Δ13. In the case of aldolase A, LOXL2/L2Δ13 stimulated its mobilization from the actin cytoskeleton to enhance aldolase activity during malignant transformation. Using stable isotope labeling of amino acids in cell culture (SILAC) followed by proteomic analysis, we identified LOXL2 and L2Δ13 as novel deacetylases that trigger metabolic reprogramming. Both LOXL2 and L2Δ13 directly catalyzed the deacetylation of aldolase A at K13, resulting in enhanced glycolysis which subsequently reprogramed tumor metabolism and promoted tumor progression. High level expression of LOXL2/L2Δ13 combined with decreased acetylation of aldolase-K13 predicted poor clinical outcome in patients with esophageal cancer. In summary, we have characterized a novel molecular mechanism that mediates the pro-tumorigenic activity of LOXL2 independently of its classical amine oxidase activity. These findings may enable the future development of therapeutic agents targeting the metabolic machinery via LOXL2 or L2Δ13. Highlight of the studyLOXL2 and its catalytically inactive isoform L2Δ13 function as new deacetylases to promote metabolic reprogramming and tumor progression in esophageal cancer by directly activating glycolytic enzymes such as aldolase A.

Esophageal cancer is a common tumor of the digestive system with poor prognosis. This study was to gain a better understanding of the mechanisms involved in esophageal cancer and to identify new prognostic markers. We downloaded the esophageal cancer miRNA expression profile microarray data (GSE113740, GSE112264, GSE122497, GSE113486, and GSE106817) from the GEO database, extracted the esophageal cancer miRNA sequencing data from The Cancer Genome Atlas (TCGA) database, and then used a bioinformatics approach to select common differentially expressed miRNAs (DEMs). Differentially expressed genes (DEGs) were selected by predicting DEM target genes using the miRWalk database and intersecting with differential genes obtained from TCGA database for esophageal cancer. The STRING database was used to obtain protein–protein interaction (PPI) relationships to construct the DEM-DEG network. Furthermore, we selected core genes and core miRNAs associated with esophageal cancer prognosis by performing survival and univariate/multivariate COX analysis on DEMs and DEGs in the network and performed GSEA analysis on core genes alone, and finally the expression of the markers was verified by qPCR in esophageal cancer cell lines Eca109, SKGT-4 and normal esophageal epithelial cells HEEC. Nine DEMs were obtained, of which three were upregulated and six were downregulated, and 326 DEGs were obtained, of which 105 were upregulated and 221 were downregulated. Survival univariate/multivariate COX analysis revealed that five genes, ZBTB16, AQP4, ADCYAP1R1, PDGFD, and VIPR2, and two microRNAs, miR-99a-5p, and miR-508-5p, were related to esophageal cancer prognosis. GSEA analysis showed that the following genes may be involved in esophageal cancer prognosis: ZBTB16 may through the MTOR signaling pathway, AQP4 through the GNRH signaling pathway, ADCYAP1R1 through the PPAR signaling pathway, VIPR2 through the P53 signaling pathway and PDGFD through the PENTOSE-PHOSPHATE signaling pathway.

At present, the treatment of esophageal cancer (EC) is mainly surgical and drug treatment. However, due to drug resistance, these therapies can not effectively improve the prognosis of patients with the EC. Therefore, a multigene prognostic risk scoring system was constructed by bioinformatics analysis method to provide a theoretical basis for the prognosis and treatment decision of EC. The gene expression profiles and clinical data of esophageal cancer patients were gathered from the Cancer Genome Atlas TCGA database, and the differentially expressed genes (DEGs) were screened by R software. Genes with prognostic value were screened by Kaplan Meier analysis, followed by functional enrichment analysis. A cox regression model was used to construct the prognostic risk score model of DEGs. ROC curve and survival curve were utilized to evaluate the performance of the model. Univariate and multivariate Cox regression analysis was used to evaluate whether the model has an independent prognostic value. Network tool mirdip was used to find miRNAs that may regulate risk genes, and Cytoscape software was used to construct gene miRNA regulatory network. GSCA platform is used to analyze the relationship between gene expression and drug sensitivity. 41 DEGs related to prognosis were pre-liminarily screened by survival analysis. A prognostic risk scoring model composed of 8 DEGs (APOA2, COX6A2, CLCNKB, BHLHA15, HIST1H1E, FABP3, UBE2C and ERO1B) was built by Cox regression analysis. In this model, the prognosis of the high-risk score group was poor (P < 0.001). The ROC curve showed that (AUC = 0.862) the model had a good performance in predicting prognosis. In Cox regression analysis, the comprehensive risk score can be employed as an independent prognostic factor of the EC. HIST1H1E, UBE2C and ERO1B interacted with differentially expressed miRNAs. High expression of HIST1H1E was resistant to trametinib, selumetinib, RDEA119, docetaxel and 17-AAG, High expression of UBE2C was resistant to masitinib, and Low expression of ERO1B made the EC more sensitive to FK866. We constructed an EC risk score model composed of 8 DEGs and gene resistance analysis, which can provide reference for prognosis prediction, diagnosis and treatment of the EC patients.