Inflammation regulates long non-coding RNA-PTTG1-1:1 in myeloid leukemia

PTTG1 alleviates acute alcoholic liver injury by inhibiting endoplasmic reticulum stress-induced hepatocyte pyroptosis

BACKGROUND & AIMS

Heavy drinking is a primary cause of alcoholic liver injury (ALI). Pituitary tumour transforming gene 1 (PTTG1) is involved in the occurrence and development of hepatocellular carcinoma (HCC), which is a well-known inflammation-related cancer with various aetiologies, including alcohol consumption. However, the role of PTTG1 in alcohol-induced liver injury and inflammation is not clear.

METHODS

Blood samples were collected from patients with acute alcohol intoxication (n = 20) and healthy controls (n = 20). PTTG1 knockout (KO) mice and PTTG1 transgenic (TG) mice were given a single gavage of alcohol (5 g/kg, 50%) to construct the alcohol-induced liver injury.

RESULTS

We found that serum PTTG1 levels were downregulated in acute ALI patients. In addition, acute alcohol administration significantly reduced PTTG1 levels in the serum and liver of mice. Compared to wild-type mice, PTTG1 KO mice had more serious liver injury, which was accompanied by worsened hepatic endoplasmic reticulum (ER) stress and hepatocyte pyroptosis induced by alcohol. Similarly, PTTG1 deficiency exacerbated alcohol-induced cell death in primary mouse hepatocytes and LO2 cells, by increasing hepatic ER stress and pyroptosis. Importantly, TUDCA, an ER stress inhibitor, could blocked alcohol-induced hepatic pyroptosis in PTTG1 knockdown LO2 cells. Finally, overexpression of PTTG1 substantially attenuated alcohol-induced liver injury by reducing ER stress and hepatic pyroptosis in mice.

CONCLUSIONS

We demonstrated that PTTG1 participates in ALI and has a protective effect against alcohol-induced hepatic ER stress and pyroptosis.

Immune-Related LncRNAs to Construct a Prognosis Risk-Assessment Model for Gastric Cancer

Background: Gastric cancer is a prevalent cause of tumor death. Tumor immunotherapy aims to reshape the specific immunity to tumors in order to kill the tumor. LncRNAs play a pivotal role in regulating the tumor immune microenvironment. Herein, immune-related lncRNAs were used to establish a prognosis risk-assessment model for gastric cancer and provide personalized predictions while providing insights and targets for gastric cancer treatment to enhance patient prognosis. Methods: Gastric adenocarcinoma transcriptome and clinical data were acquired from the The Cancer Genome Atlas (TCGA) database to screen the immune-related lncRNAs. Then, LASSO COX regression was utilized to construct the prognosis risk-assessment model. Afterward, the reliability of the model was evaluated the relationship between immune infiltration, clinical characteristics, and the model was analyzed. Results: We identified 13 lncRNAs and constructed the prognosis assessment model. According to the median risk score of the training set, the patients were assigned to different risk groups. Overall survival time was shorter in the high-risk group. In the high-risk group, higher infiltration of mono-macrophages, dendritic cells, CD4+ T cells, and CD8+ T cells was observed. Moreover, the model was positively related to tumor metastasis. Conclusion: The prognosis risk-assessment model developed in this research can effectively predict the prognosis of gastric cancer patients. This tool is expected to be further applied to clinics in the future, thus providing a novel target for immunotherapy in gastric cancer patients.