The failure of T cells to eradicate tumour cells in the tumour microenvironment is mainly due to the dysfunction of T cells. Senescent T cells, with defects in proliferation and effector functions, accumulate in ageing, chronic viral infections, and autoimmune disorders where antigen stimulation persists. Increasing evidence suggests that inducing T cell senescence is a key strategy used by malignant tumours to evade immune surveillance. In this review, we summarize the general features, functional regulation, and signalling network of senescent T cells in tumour development and highlight their potential as prognostic biomarkers in multiple cancer treatments, including chemotherapy, radiotherapy, and immunotherapy. Moreover, we discuss possible therapeutic strategies for preventing or rejuvenating senescence in tumour-specific T cells. Understanding these critical issues may provide novel strategies to enhance cancer immunotherapy.

Alveolar hypercoagulation and fibrinolysis inhibition were associated with the refractory hypoxemia and the high mortality in patient with acute respiratory distress syndrome (ARDS), and NF-κB pathway was confirmed to contribute to the process. Triptolide (TP) significantly inhibited NF-κB pathway and thus depressed accessive inflammatory response in ARDS. We speculate that TP could improve alveolar hypercoagulation and fibrinolytic inhibition in LPS-induced ARDS via NF-κB inactivation. The aim of this experiment was to explore the efficacy and potential mechanism of TP on alveolar hypercoagulation and fibrinolysis inhibition in LPS-induced ARDS in mice. 50 μl of LPS (5 mg/ml) was inhalationally given to C57BL/6 mice to set up ARDS model. Male mice were randomly accepted with LPS, LPS + TP (1 μg/kg, 10 μg/kg, 50 μg/kg respectively), or with NEMO Binding domain peptide (NBD), an inhibitor of NF-κB. TP (1 μg/kg, 10 μg/kg, 50 μg/kg) were intraperitoneally injected or 10 μg/50 μl of NBD solution were inhaled 30 min before LPS inhalation. A same volume of normal saline (NS) substituted for TP in mice in control. The endpoint of experiment was at 8 hours after LPS stimulation. Pulmonary tissues were taken for hematoxylin-eosin (HE) staining, wet / dry ratio and for lung injury scores (LIS). Tissue factor (TF) and plasminogen activator inhibitor (PAI)-1 in lung tissue were detected by Western-blotting and by quantitative Real-time PCR(qPCR) respectively. Concentrations of TF, PAI-1, thrombin-antithrombin complex (TAT), procollagen peptide type Ⅲ (PⅢP) and activated protein C (APC) in bronchoalveolar lavage fluid (BALF) were measured by ELISA. NF-κB activation and p65-DNA binding activity in pulmonary tissue were simultaneously determined. LPS stimulation resulted in pulmonary edema, neutrophils infiltration, obvious alveolar collapse, interstitial congestion, with high LIS, which were all dose-dependently ameliorated by Triptolide. LPS also dramatically promoted the expressions of TF and PAI-1 either in mRNA or in protein in lung tissue, and significantly stimulated the secretions of TF, PAI-1, TAT, PⅢP but inhibited APC production in BALF, which were all reversed by triptolide treatment in dose-dependent manner. TP dose-dependently inhibited the activation of NF-κB pathway induced by LPS, indicated by the changes of phosphorylations of p65 (p-p65), p-IKKα/β and p-IκBα, and weakened p65-DNA binding activity. TP and NBD had same efficacies either on alveolar hypercoagulation and fibrinolysis inhibition or on NF-κB signalling pathway in ARDS mice. TP dose-dependently improves alveolar hypercoagulation and fibrinolysis inhibition in ARDS mice through inhibiting NF-κB signaling pathway. Our data demonstrate that TP is expected to be an effective selection in ARDS.

Background/Objectives: Lipid metabolism plays a crucial role in uterine corpus endometrial carcinoma (UCEC); however, its specific mechanisms remain to be fully elucidated. This study aimed to construct a lipid-metabolism-related prognostic model and explore its association with the tumor immune microenvironment. Methods: A total of 552 UCEC and 35 normal tissue samples from The Cancer Genome Atlas (TCGA) database were analyzed to identify differentially expressed lipid-metabolism-related genes (DE-LMRGs). A prognostic risk model was established using univariate Cox analysis, least absolute shrinkage and selection operator (LASSO) regression, and multivariate Cox regression, and its clinical utility was assessed through nomogram construction. Functional enrichment analysis was performed to explore the biological pathways involved. Tumor immune infiltration patterns were evaluated using single-sample Gene Set Enrichment Analysis (ssGSEA), Estimation of Stromal and Immune Cells in Malignant Tumors using Expression Data (ESTIMATE), and Tumor Immune Dysfunction and Exclusion (TIDE) algorithms. Results: Multivariate analysis indicated that the prognostic model had robust predictive value, with AUCs of 0.701, 0.746, and 0.790 for 1-, 3-, and 5-year overall survival predictions. High-risk patients exhibited a suppressed immune microenvironment characterized by reduced immune cell infiltration, lower tumor mutation burden (TMB), and elevated TIDE scores, suggesting potential resistance to immunotherapy. Furthermore, LIPG was identified as a key hub gene through the intersection of nine machine learning algorithms, demonstrating strong associations with both cancer progression and immune infiltration. Functional validation using Cell Counting Kit-8 (CCK-8), wound healing, and transwell migration assays following small interfering RNA (siRNA) transfection demonstrated that LIPG promotes UCEC cell proliferation and migration in vitro. Conclusions: These findings highlight the critical role of lipid metabolism in UCEC progression and immune modulation, with LIPG emerging as a potential prognostic biomarker. The identified lipid-metabolism-related gene signature may provide new insights into tumor microenvironment interactions.

Background/Objectives: This study aimed to determine whether the expression levels of GPAT4 and SLC7A11 are associated with survival outcomes and platinum resistance in epithelial ovarian cancer (EOC) patients. Methods: We analyzed the medical records of EOC patients. EOC samples obtained during surgery were stained for GPAT4 and SLC7A11. Cox regression and Kaplan—Meier analyses were performed to assess the impact of GPAT4 and SLC7A11 expression on overall survival (OS). Results: We found that GPAT4 and SLC7A11 expression levels were greater in platinum-resistant ovarian cancer tissues than in platinum-sensitive ovarian cancer tissues. High expression of both GPAT4 and SLC7A11 was associated with an increased risk of platinum resistance compared with low expression of both factors. High expression of both SLC7A11 and GPAT4 was independently correlated with poor OS, highlighting the significance of this integrated metric as a prognostic factor in ovarian cancer. The GPAT inhibitor (GPAT-IN-1) and an SLC7A11 inhibitor (erastin) attenuated platinum resistance in ovarian cancer cells, and their combined application increased cytotoxicity. Furthermore, the combination of GPAT-IN-1, erastin, and cisplatin significantly improved the chemotherapeutic effects on platinum-resistant ovarian cancer cells. Conclusions: High expression of both SLC7A11 and GPAT4 is related to platinum resistance in EOC patients. The high expression of both SLC7A11 and GPAT4 serves as an important independent prognostic factor and indicates potential therapeutic targets for patients with platinum-resistant EOC.

Current histopathological classification systems for ovarian cancer cannot adequately predict platinum chemotherapy response, hindering personalized therapeutic strategies. Here, through integrative analysis of multiple datasets from TCGA, ICGC and GEO databases, we stratify patients into metabolic associated chemotherapy-refractory and chemotherapy-sensitive types (MCRT, MCST for short) with distinct prognosis by 20 genes. Lipidomic profiling of ascites from patients with ovarian cancer further identifies oleic acid as a hallmark metabolite in MCRT cases. Oleic acid treatment facilitates the resistance to cisplatin in ovarian cancer cells and patient-derived organoids. Mechanistically, oleic acid activates and promotes nuclear translocation of YAP through CD36. Inhibition of SCD1—genetically or pharmacologically—synergizes with cisplatin in 26 patient-derived organoids and suppresses tumor growth in xenograft models. Our study proposes a new metabolic classification of ovarian cancer that can predict chemotherapy sensitivity. Moreover, it discovers the role of the oleic acid-CD36-YAP signaling axis in promoting cisplatin resistance. These findings shed light on how oleic acid facilitates the resistance to cisplatin in ovarian cancer and provide a potential therapeutic strategy for treating patients with ovarian cancer.