MEX3A activates the JAK-STAT pathway to suppress NK cell cytotoxicity and accelerate lung adenocarcinoma progression.

Background: Therapeutic potential of natural killer (NK) cells is recognized in treating lung adenocarcinoma (LUAD), but impairment of NK cell functions in various cancers weakens anti-tumor capabilities. Uncovering molecular mechanisms is imperative for fortifying NK cells against degradation and for enhancing their cancer-inhibiting functions.

Methods: TCGA-LUAD database complemented by qRT-PCR presented MEX3A expression in LUAD.

Correlation analysis of EGFR gene mutation abundance and the efficacy of targeted therapy with osimertinib in nonsmall cell lung cancer-a case control study.

BackgroundIn nonsmall cell lung cancer (NSCLC), epidermal growth factor receptor (EGFR) mutation is the primary cancer-causing mutation. But whether the practical effectiveness of EGFR tyrosine kinase inhibitors (TKIs) can be influenced by plasma EGFR mutation abundance when treating patients with advanced NSCLC remains unanswered. Therefore, this research was intended to reveal the connection between plasma EGFR mutation abundance and clinical outcomes in osimertinib-treated patients with advanced NSCLC.

Prognostic value of genes related to cancer-associated fibroblasts in lung adenocarcinoma.

Background: Although it has been established that cancer-associated fibroblasts (CAFs) facilitate tumor development, the relationship between CAFs and the prognosis of patients with lung adenocarcinoma (LUAD) has not been extensively explored.

Objective: This study was formulated to investigate the prognostic value of CAF-related genes in LUAD.

Methods: Differential analysis was carried out with TCGA-LUAD dataset as the training set.

Establishment and characterization of a new gastric cancer cell line, XGC-1.

Background: To establish a primary human gastric cancer cell line.

Methods: Fresh gastric cancer tissue samples were separated into a cell suspension, and DMEM/F12 medium containing 10% foetal bovine serum was used for primary culture and subculture. The morphology of the cells was observed under a light microscope, and the cell growth curve was plotted.

Regulatory network of circRNA-miRNA-mRNA contributes to the histological classification and disease progression in gastric cancer.

Background: Little has been known about the role of non-coding RNA regulatory network in the patterns of growth and invasiveness of gastric cancer (GC) development.

Methods: MicroRNAs (miRNAs) microarray was used to screen differential miRNA expression profiles in Ming's classification. The significant differential expressions of representative miRNAs and their interacting circular RNA (circRNA) were confirmed in GC cell line and 63 pairs of GC samples.

Establishment and characterization of an expanding-type gastric cancer cell line by Ming's classification.

According to Ming's classification, gastric cancer (GC) can be divided into two types: expanding and infiltrative. The two types are readily recognizable by histology: expanding carcinomas grow en masse and by expansion, resulting in the formation of discrete tumour nodules, whereas in infiltrative carcinoma, tumour cells invade individually. Both types show varying degrees of cell maturation.