Five EMT-related genes signature predicts overall survival and immune environment in microsatellite instability-high gastric cancer.

BACKGROUND: Microsatellite instability-high (MSI-H) subgroup of gastric cancer (GC) is characterized by a high tumor mutational burden, increased lymphocytic infiltration, and enhanced inflammatory cytokines. GC patients with MSI-H status have a good response to immune checkpoint blockade management. However, heterogeneity within the subtype and the underlying mechanisms of shaping tumor microenvironments remain poorly understood. METHODS: RNA expression levels and clinical parameters of GC were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. The data were analyzed using single-sample Gene Set Enrichment Analysis (ssGSEA), univariate Cox regression, multivariate Cox regression, and Least Absolute Shrinkage Selection Operator (LASSO) regression. In addition, multiplex immunohistochemistry (mIHC) was used in our clinical cohort for the tumor microenvironment study. RESULTS: By ssGSEA and survival analysis, the EMT signaling pathway was identified as a representative pathway, which can stratify the patients with MSI-H GC with significant survival predictive power. Then, a novel representative EMT-related five-gene signature (namely CALU, PCOLCE2, PLOD2, SGCD, and THBS2) was established from EMT signaling gene set, which sensitivity and specificity were further validated in the independent GEO database (GSE62254) cohort for disease outcome prediction. Based on public single-cell data and in situ immunohistochemistry, we found that most of these five genes were abundantly expressed in cancer-associated fibroblasts. Furthermore, patients with high or low risk divided by this five-gene signature exhibited a strong correlation of the distinct patterns of tumor immune microenvironment. By mIHC staining of sections from 30 patients with MSI-H status, we showed that the patients with better prognoses had the increased infiltration of CD8+ cells in the primary tumoral tissue. CONCLUSION: Our study developed a simple five-gene signature for stratifying MSI-H GC patients with survival predictive power.

The kinase activity of integrin-linked kinase regulates cellular senescence in gastric cancer.

The activity of integrin-linked kinase (ILK) in cancerous cells is often oncogenic and associated with malignant properties, such as uncontrolled cell cycle progression and evasion from senescence. However, the role of ILK in cellular senescence in gastric cancer (GC) has not been previously examined. We generated single-cell clones of ILK knock-out using CRISPR-Cas9 in human GC lines with mesenchymal or epithelial histology. Cells with no residual ILK expression exhibited strong cellular senescence with diminished clathrin-mediated endocytosis, Surprisingly, ILK loss-induced cellular senescence appeared to be independent of its function in integrin signaling. The low dose of CPD22, a small molecule inhibitor of ILK activity-induced senescence in three GC cell lines with different histologies. Furthermore, senescent cells with ILK depletion transfected with N-terminal truncated ILK mutant remaining catalytic domains displayed the reduction of senescent phenotypes. RNA sequencing and cytokine array results revealed the enrichment of multiple pro-inflammatory signaling pathways in GC lines in the absence of ILK. Our study identified the important role and the potential mechanism of ILK in the cellular senescence of cancerous epithelial cells. The inhibition of ILK activity using small molecule compounds could have a pro-senescent effect as a therapeutic option for GC.

Complete loss of miR-200 family induces EMT associated cellular senescence in gastric cancer.

The EMT (epithelial-to-mesenchymal-transition) subtype of gastric cancer (GC) is associated with poor treatment responses and unfavorable clinical outcomes. Despite the broad physiological roles of the micro-RNA (miR)-200 family, they largely serve to maintain the overall epithelial phenotype. However, during late-stage gastric tumorigenesis, members of the miR-200 family are markedly suppressed, resulting in the transition to the mesenchymal state and the acquisition of invasive properties. As such, the miR-200 family represents a robust molecular marker of EMT, and subsequently, disease severity and prognosis. Most reports have studied the effect of single miR-200 family member knockdown. Here, we employ a multiplex CRISPR/Cas9 system to generate a complete miR-200 family knockout (FKO) to investigate their collective and summative role in regulating key cellular processes during GC pathogenesis. Genetic deletion of all miR-200s in the human GC cell lines induced potent morphological alterations, G1/S cell cycle arrest, increased senescence-associated ß-galactosidase (SA-ß-Gal) activity, and aberrant metabolism, collectively resembling the senescent phenotype. Coupling RNA-seq data with publicly available datasets, we revealed a clear separation of senescent and non-senescent states amongst FKO cells and control cells, respectively. Further analysis identified key senescence-associated secretory phenotype (SASP) components in FKO cells and a positive feedback loop for maintenance of the senescent state controlled by activation of TGF-ß and TNF-α pathways. Finally, we showed that miR-200 FKO associated senescence in cancer epithelial cells significantly recruited stromal cells in the tumor microenvironment. Our work has identified a new role of miR-200 family members which function as an integrated unit serving to link senescence with EMT, two major conserved biological processes.

Distinct Hypoxia-Related Gene Profiling Characterizes Clinicopathological Features and Immune Status of Mismatch Repair-Deficient Colon Cancer.

Despite dramatic responses to immune checkpoint inhibitors (ICIs) in patients with colon cancer (CC) harboring deficient mismatch repair (dMMR), more than half of these patients ultimately progress and experience primary or secondary drug resistance. There is no useful biomarker that is currently validated to accurately predict this resistance or stratify patients who may benefit from ICI-based immunotherapy. As hypoxic and acidic tumor microenvironment would greatly impair tumor-suppressing functions of tumor-infiltrating lymphocytes (TILs), we sought to explore distinct immunological phenotypes by analysis of the intratumoral hypoxia state using a well-established gene signature. Based on the Gene Expression Omnibus (GEO) (n = 88) and The Cancer Genome Atlas (TCGA) (n = 49) databases of patients with CC, we found that dMMR CC patients could be separated into normoxia subgroup (NS) and hypoxia subgroup (HS) with different levels of expression of hypoxia-related genes (lower in NS group and higher in HS group) using NMF package. Tumoral parenchyma in the HS group had a relatively lower level of immune cell infiltration, particularly CD8+ T cells and M1 macrophages than the NS group, and coincided with higher expression of immune checkpoint molecules and C-X-C motif chemokines, which might be associated with ICI resistance and prognosis. Furthermore, three genes, namely, MT1E, MT2A, and MAFF, were identified to be differentially expressed between NS and HS groups in both GEO and TCGA cohorts. Based on these genes, a prognostic model with stable and valuable predicting ability has been built for clinical application. In conclusion, the varying tumor-immune microenvironment (TIME) classified by hypoxia-related genes might be closely associated with different therapeutic responses of ICIs and prognosis of dMMR CC patients.