METHODS: Human adipose-derived MSCs (Ad-MSCs) and A549 cells are co-cultured together in indirect co-culture system using Transwell insert. Following co-culture, both cells were analysed in terms of growth rate, migration ability, apoptosis and gene expression for genes involved in migration and stemness characteristics.
RESULTS: The result shows that Ad-MSCs promoted the growth of A549 cells when indirectly co-cultured for 48 and 72 h. Furthermore, Ad-MSCs significantly enhanced the migration rate of A549 cells. The increased in migration rate was in parallel with the significant increase of MMP9. There are no significant changes observed in the expression of TWIST2, CDH2 and CDH1, genes involved in the epithelial-to-mesenchymal transition (EMT). Ad-MSCs also protect A549 cancer cells from undergoing apoptosis and increase the survival of cancer cells.
CONCLUSION: Secretion of soluble factors from Ad-MSCs has been shown to promote the growth and metastatic characteristics of A549 cancer cells. Therefore, the use of Ad-MSCs in cancer therapy needs to be carefully evaluated in the long-term aspect.
METHODS: Transcriptomic and clinical data pertaining to LUAD were retrieved from open-access databases to establish an association between mRNA expression profiles and the presence of TDP-43. A risk-prognosis model was developed to compare patient survival rates across various groups, and its accuracy was also assessed. Additionally, differences in tumor stemness, mutational profiles, tumor microenvironment (TME) characteristics, immune checkpoints, and immune cell infiltration were analyzed in the different groups. Moreover, the study entailed predicting the potential response to immunotherapy as well as the sensitivity to commonly employed chemotherapeutic agents and targeted drugs for each distinct group.
RESULTS: The TDP-43 Co-expressed Gene Risk Score (TCGRS) model was constructed utilizing four genes: Kinesin Family Member 20A (KIF20A), WD Repeat Domain 4 (WDR4), Proline Rich 11 (PRR11), and Glia Maturation Factor Gamma (GMFG). The value of this model in predicting LUAD patient survival is effectively illustrated by both the Kaplan-Meier (K-M) survival curve and the area under the receiver operating characteristic curve (AUC-ROC). The Gene Set Enrichment Analysis (GSEA) revealed that the high TCGRS group was primarily enriched in biological pathways and functions linked to DNA replication and cell cycle; the low TCGRS group showed primary enrichment in immune-related pathways and functions. The high and low TCGRS groups showed differences in tumor stemness, mutational burden, TME, immune infiltration level, and immune checkpoints. The predictions analysis of immunotherapy indicates that the Tumor Immune Dysfunction and Exclusion (TIDE) score (p