The mammalian Sterile 20-like kinase 4 (MST4) signaling in tumor progression: Implications for therapy

Autophagy and cancer therapy

Autophagy is an intracellular degradation process that sequesters cytoplasmic components in double-membrane vesicles known as autophagosomes, which are degraded upon fusion with lysosomes. This pathway maintains the integrity of proteins and organelles while providing energy and nutrients to cells, particularly under nutrient deprivation. Deregulation of autophagy can cause genomic instability, low protein quality, and DNA damage, all of which can contribute to cancer. Autophagy can also be overactivated in cancer cells to aid in cancer cell survival and drug resistance. Emerging evidence indicates that autophagy has functions beyond cargo degradation, including roles in tumor immunity and cancer stem cell survival. Additionally, autophagy can also influence the tumor microenvironment. This feature warrants further investigation of the role of autophagy in cancer, in which autophagy manipulation can improve cancer therapies, including cancer immunotherapy. This review discusses recent findings on the regulation of autophagy and its role in cancer therapy and drug resistance.

MBD3 promotes epithelial-mesenchymal transition in gastric cancer cells by upregulating ACTG1 via the PI3K/AKT pathway

BACKGROUND

Gastric cancer (GC) is a common malignancy and a leading cause of cancer-related death with high morbidity and mortality. Methyl-CpG binding domain protein 3 (MBD3), a key epigenetic regulator, is abnormally expressed in several cancers, participating in progression and metastasis. However, the role of MBD3 in GC remains unknown.

METHODS

MBD3 expression was assessed via public databases and validated by western blotting and quantitative real-time polymerase chain reaction (qRT-PCR). The prognosis of MBD3 was analysed via bioinformatics based on the TCGA dataset. The migration, invasion and proliferation of GC cells were examined by transwell, wound healing, cell counting kit (CCK)-8, colony-formation and xenograft mouse models. Epithelial-mesenchymal transition (EMT) and phosphatidylinositide 3-kinases/ protein Kinase B (PI3K/AKT) pathway markers were evaluated by Western blotting. RNA sequencing was used to identify the target of MBD3.

RESULTS

MBD3 expression was higher in GC tissues and cells than in normal tissues and cells. Additionally, high MBD3 levels were associated with poor prognosis in GC patients. Subsequently, we proved that MBD3 enhanced the migration, invasion and proliferation abilities of GC cells. Moreover, western blot results showed that MBD3 promoted EMT and activated the PI3K/AKT pathway. RNA sequencing analysis showed that MBD3 may increase actin γ1 (ACTG1) expression to promote migration and proliferation in GC cells.

CONCLUSION

MBD3 promoted migration, invasion, proliferation and EMT by upregulating ACTG1 via PI3K/AKT signaling activation in GC cells and may be a potential diagnostic and prognostic target.

Cytotoxic T-lymphocytes in acute myeloid leukemia: Monitoring prognosis and guiding treatment choice

BACKGROUND

Cytotoxic T-lymphocyte (CTL)-mediated therapy has become the central theme of cancer immunotherapy. The present study emphasized the role of CTLs in acute myeloid leukemia (AML) and aimed to understand the role of CTLs cytogenetic markers in monitoring AML prognostic outcomes and clinical treatment responses.

METHODS

Seurat was employed to analyze single-cell RNA sequencing data in GSE116256. CellChat was used to detect cell-cell interactions to determine the central role of CTLs. The marker genes of CTLs were extracted and randomForestSRC was employed to construct a random forest model. The prognosis, immune checkpoint expression, immune cell infiltration, immunotherapy response and drug sensitivity of AML patients were evaluated according to the model.

RESULTS

Seven types of cellular components of AML were identified in GSE116256, and CTLs radiated the most interactions with other cell types. Random forest analysis screened out six marker genes for construction of the model. The risk score calculated according to the model was positively correlated with immune score, immune cell infiltration, expression of multiple immune checkpoints and immune effect pathway. The response rate of immunotherapy was significantly higher and more sensitive to 14 drugs in high-risk samples than in low-risk samples, whereas low-risk patients showed a higher sensitivity to six drugs.

CONCLUSIONS

The present study emphasized the central role of CTLs in cell communication and established a random forest regression model based on its cytogenetic markers, which helps to stratify the prognosis of AML, promotes the understanding of the phenotype of AML and may also guide the treatment choice of AML patients, which contributed to stratification of AML prognosis, promoted understanding of the phenotype of AML and may guide treatment selection in patients with AML.