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Nucleoporin 93 (NUP93) is an important component of the nuclear pore complex, exhibiting pro-tumorigenic properties in some cancers. However, its function in esophageal squamous cell carcinoma (ESCC) has not been elucidated. This study aimed to investigate the effects of NUP93 in ESCC and the underlying mechanisms involved. Through analysis of public human cancer datasets, we observed higher expression of NUP93 in esophageal cancer tissues than in normal tissues. Stable ESCC cell lines with NUP93 overexpression or knockdown were established by lentiviral vector transduction and puromycin selection. NUP93 knockdown suppressed the proliferation, colony formation, cell cycle transition, migration, and invasion of ESCC cells, while the overexpression of NUP93 displayed opposite effects. NUP93 positively regulated epithelial–mesenchymal transition and AKT signaling transduction in ESCC cells. In addition, NUP93 increased the expression of programmed death ligand 1 (PD-L1) in ESCC cells and attenuated NK cell-mediated lysis of ESCC cells. In vivo experiments demonstrated that NUP93 promotes the growth of ESCC in nude mice, enhances Ki67 and PD-L1 expression, and promotes AKT signaling transduction in xenografts. Mechanistically, we demonstrated that the HECT domain E3 ubiquitin protein ligase 1 (HECTD1) contributes to the ubiquitination and degradation of NUP93 and acts as a tumor suppressor in ESCC. To conclude, this study has shown that NUP93 has pro-tumor properties in ESCC and that HECTD1 functions as an upstream regulator of NUP93 in ESCC. These findings may contribute to the investigation of potential therapeutic targets in ESCC. [ABSTRACT FROM AUTHOR]

Background: Immune checkpoint inhibitors (ICIs) through programmed cell death 1 blockade improve the survival outcomes of patients with advanced esophageal squamous cell carcinoma (ESCC). Recently, the use of neoadjuvant immunotherapy for the treatment of ESCC has been gradually increasing. We aimed to evaluate the efficacy of neoadjuvant treatment of ICIs with chemotherapy and explore tumor microenvironment (TME) immune profiles of ESCC samples during neoadjuvant therapy. Methods: Patients with previously untreated, resectable, locally advanced ESCC (stage II or III) in Harbin Medical University Cancer Hospital were enrolled. Each patient received two to four cycles of neoadjuvant ICIs combined with chemotherapy before surgical resection. The TME immune profiles of formalin-fixed paraffin-embedded tumor samples at baseline and after surgery were evaluated by multiplex staining and multispectral imaging. Results: In all, 18 patients were enrolled, and all patients received surgery with R0 resection. The postoperative pathological evaluation indicated that 7 (38.9%) patients had a pathological complete response (pCR) and 11 (61.1%) patients had a partial response. The neoadjuvant therapeutic regimens had acceptable side effect profiles. The TME immune profiles at baseline observed higher densities of stroma CD3 + , PD-1 + , and PD-1 + CD3 + cells in pCR patients than in non-pCR patients. Comparing TME immune profiles before and after neoadjuvant treatment, an increase in CD8 + T cells and a decrease in CD163 + CD68 + M2-like macrophage cells were observed after neoadjuvant treatment. Conclusions: Neoadjuvant ICIs combined with chemotherapy produced a satisfactory treatment response, demonstrating its anti-tumor efficacy in locally advanced ESCC. Further large-scale studies are required to understand the role of tumor immunities and ICIs underlying ESCC. [ABSTRACT FROM AUTHOR]

The tumor immune microenvironment plays essential roles in regulating inflammation, angiogenesis, immune modulation, and sensitivity to therapies. Here, we developed a powerful prognostic signature with immune-related lncRNAs (irlncRNAs) in lung adenocarcinoma (LUAD). We obtained differentially expressed irlncRNAs by intersecting the transcriptome dataset for The Cancer Genome Atlas (TCGA)-LUAD cohort and the ImmLnc database. A rank-based algorithm was applied to select top-ranking altered irlncRNA pairs for the model construction. We built a prognostic signature of 33 irlncRNA pairs comprising 40 unique irlncRNAs in the TCGA-LUAD cohort (training set). The immune signature significantly dichotomized LUAD patients into high- and low-risk groups regarding overall survival, which is likewise independently predictive of prognosis (hazard ratio = 3.580, 95% confidence interval = 2.451–5.229, P < 0.001). A nomogram with a C-index of 0.79 demonstrates the superior prognostic accuracy of the signature. The prognostic accuracy of the signature of 33 irlncRNA pairs was validated using the GSE31210 dataset (validation set) from the Gene Expression Omnibus database. Immune cell infiltration was calculated using ESTIMATE, CIBERSORT, and MCP-count methodologies. The low-risk group exhibited high immune cell infiltration, high mutation burden, high expression of CTLA4 and human leukocyte antigen genes, and low expression of mismatch repair genes, which predicted response to immunotherapy. Interestingly, pRRophetic analysis demonstrated that the high-risk group possessed reverse characteristics was sensitive to chemotherapy. The established immune signature shows marked clinical and translational potential for predicting prognosis, tumor immunogenicity, and therapeutic response in LUAD. [ABSTRACT FROM AUTHOR]

We assessed the expression of M3 receptor in non-small cell lung cancer (NSCLC) and determined its relationship with clinicopathological features and its impact on patient outcome. Specimens from 192 patients with NSCLC were investigated by immunohistochemistry for M3 receptor and Ki67 expression. Correlation between the expression of M3 receptor and Ki67 and various clinicopathological features of NSCLC patients was analyzed. We found that M3 receptor expression was gradually elevated from normal to metaplasia/dysplasia tissues to cancer tissues. Furthermore, there was a similar trend for Ki67 expression. Statistical analysis revealed that M3 receptor expression in tumor cells were correlated significantly with stage ( P < 0.0001), histology type ( P = 0.0003), Ki67 expression ( P < 0.0001), tumor size ( P < 0.0001), lymph node status ( P < 0.0001), LVS invasion ( P = 0.0002), and histology grade ( P < 0.0001). Patients with M3 receptor high expression showed far lower disease-free survival (DFS) and overall survival (OS) rates than those with M3 receptor low expression. Multivariate Cox regression analysis demonstrated that high M3 receptor expression was an independent prognostic factor for both DFS and OS. High M3 receptor expression correlates with poor survival in NSCLC patients. M3 receptor expression may be related with tumor progression in NSCLC, indicating that M3 receptor may be a novel antineoplastic target in the future. [ABSTRACT FROM AUTHOR]

To study the expression of the nuclear factor kappa B (NF-kappa B) in non-small cell lung cancer (NSCLC), to explore the apoptotic ratio in NSCLC related to different NF-kappa Bs, and to understand the clinical significance of NF-kappa B in NSCLC apoptosis. NF-kappa B expression in 45 new samples of NSCLC, collected during a period from October to December, 2005, was assayed using Western blots, and the apoptotic ratio of NSCLC was determined by the Tunel method. Of the 45 patients, the average relative expression of NF-kappa B was 0.6047 ± 0.3572. The expression of NF-kappa B was higher in the poorly differentiated lung cancer cells than in the well-differentiated tumors ( P < 0.05). The apoptotic ratio was 56.4% in the lung cancer cells with higher NF-kappa B expression, and was 76.7% in those with lower NF-kappa B expression ( P < 0.05). The expression of NF-kappa B is correlated with the differentiation of NSCLC. NF-kappa B inhibits apoptosis in NSCLC. As a transcription factor, NF-kappa B plays a very important role both in formation and in development of NSCLC. NF-kappa B might serve as a target for NSCLC gene therapy. [ABSTRACT FROM AUTHOR]