Zinc treatment reverses and anti-Zn-regulated miRs suppress esophageal carcinomas in vivo

MiR-3682-3p promotes esophageal cancer progression by targeting FHL1 and activating the Wnt/β-catenin signaling pathway

BACKGROUND

Esophageal cancer (EC) is highly ranked among all cancers in terms of its incidence and mortality rates. MicroRNAs (miRNAs) are considered to play key regulatory parts in EC. Multiple research studies have indicated the involvement of miR-3682-3p and four and a half LIM domain protein 1 (FHL1) in the achievement of tumors. The aim of this research was to clarify the significance of these genes and their possible molecular mechanism in EC.

METHODS

Data from a database and the tissue microarray were made to analyze the expression and clinical significance of miR-3682-3p or FHL1 in EC. Reverse transcription quantitative PCR and Western blotting were used to detect the expression levels of miR-3682-3p and FHL1 in EC cells. CCK8, EdU, wound healing, Transwell, flow cytometry, and Western blotting assays were performed to ascertain the biological roles of miR-3682-3p and FHL1 in EC cells. To confirm the impact of miR-3682-3p in vivo, a subcutaneous tumor model was created in nude mice. The direct interaction between miR-3682-3p and FHL1 was demonstrated through a luciferase assay, and the western blotting technique was employed to assess the levels of crucial proteins within the Wnt/β-catenin pathway.

RESULTS

The noticeable increase in the expression of miR-3682-3p and the decrease in the expression of FHL1 were observed, which correlated with a negative impact on the patients' overall survival. Upregulation of miR-3682-3p expression promoted the growth and metastasis of EC, while overexpression of FHL1 partially reversed these effects. Finally, miR-3682-3p motivates the Wnt/β-catenin signal transduction by directly targeting FHL1.

CONCLUSION

MiR-3682-3p along the FHL1 axis activated the Wnt/β-catenin signaling pathway and thus promoted EC malignancy.

Zinc deficiency drives ferroptosis resistance by lactate production in esophageal squamous cell carcinoma

Trace metal zinc is involved in key processes of solid tumors by its antioxidant properties, while the role of zinc at the onset of esophageal squamous cell carcinoma (ESCC) remains controversial. This study aimed to determine whether zinc is associated with the ESCC and underlying molecular events involving malignant progression. Based on a case-control study, we found serum and urine zinc were decreased and correlated with ESCC progression. Thus, an in vitro model for zinc deficiency (ZD) was established, and we found that ZD contributed to the proliferation, migration, and invasion of EC109 cells. Untargeted metabolomics identified 59 upregulated metabolites and 6 downregulated metabolites, among which glycolysis and ferroptosis-related oxidation of chain fatty acids might play crucial steps in ZD-treated molecular events. Interestingly, ZD disrupted redox homeostasis and enhanced cytosolic Fe2+ of EC109 cells, while lipid peroxidation, the key marker of ferroptosis occurrence, was decreased after ZD treatment. The mechanism underlying these changes may involve ZD-enhanced ESCC glycolysis and lactate production, which confer ferroptosis resistance by inhibiting of p-AMPK and leading to the upregulation of SREBP1 and SCD1 to enhance the production of anti-ferroptosis monounsaturated fatty acids.

Construction and validation of a novel senescence-related risk score can help predict the prognosis and tumor microenvironment of gastric cancer patients and determine that STK40 can affect the ROS accumulation and proliferation ability of gastric cancer cells

Background

In recent years, significant molecules have been found in gastric cancer research. However, their precise roles in the disease's development and progression remain unclear. Given gastric cancer's heterogeneity, prognosis prediction is challenging. This study aims to assess patient prognosis and immune therapy efficacy using multiple key molecules.

Method

The WGCNA algorithm was employed to identify modules of genes closely related to immunity. A prognostic model was established using the Lasso-Cox method to predict patients' prognosis. Single-sample gene set enrichment analysis (ssGSEA) was conducted to quantify the relative abundance of 16 immune cell types and 13 immune functions. The relationship between risk score and TMB, MSI, immune checkpoints, and DNA repair genes was examined to predict the effectiveness of immune therapy. GO and KEGG analyses were performed to explore potential pathways and mechanisms associated with the genes of interest. Single-cell RNA sequencing was utilized to investigate the expression patterns of key genes in different cell types.

Results

Through the WGCNA algorithm and Lasso-Cox algorithm selected KL, SERPINE1, and STK40 as key genes for constructing the prognostic model. The SSGSEA algorithm was employed to evaluate the infiltration of immune cells and immune functions in different patients, and their association with the risk score was investigated. The high-risk group exhibited lower TMB and MSI compared to the low-risk group. MMR and immune checkpoint analysis revealed a significant correlation between the risk score and multiple molecules. Finally, we also believe that STK40 is the most critical senescence-related gene affecting the progression of gastric cancer. In vitro experiments showed that ROS accumulation and cell proliferation ability of gastric cancer cells were impaired when STK40 was knocked down.

Conclusion

In summary, we've constructed a prognostic model utilizing key genes for gastric cancer prognosis, while also showcasing its efficacy in predicting patient response to immunotherapy.