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Pancreatic ductal adenocarcinoma (PDAC) is a devastating cancer with dismal prognosis due to distant metastasis, even in the early stage. Using RNA sequencing and multiplex immunofluorescence, here we find elevated expression of mixed lineage kinase domain-like pseudo-kinase (MLKL) and enhanced necroptosis pathway in PDAC from early liver metastasis T-stage (T1M1) patients comparing with non-metastatic (T1M0) patients. Mechanistically, MLKL-driven necroptosis recruits macrophages, enhances the tumor CD47 'don't eat me' signal, and induces macrophage extracellular traps (MET) formation for CXCL8 activation. CXCL8 further initiates epithelial–mesenchymal transition (EMT) and upregulates ICAM-1 expression to promote endothelial adhesion. METs also degrades extracellular matrix, that eventually supports PDAC liver metastasis. Meanwhile, targeting necroptosis and CD47 reduces liver metastasis in vivo. Our study thus reveals that necroptosis facilitates PDAC metastasis by evading immune surveillance, and also suggest that CD47 blockade, combined with MLKL inhibitor GW806742X, may be a promising neoadjuvant immunotherapy for overcoming the T1M1 dilemma and reviving the opportunity for radical surgery. Early-stage liver metastasis of pancreatic ductal adenocarcinoma (PDAC) makes radical surgery not efficacious. Here, the authors show that MLKL-driven necroptosis contributes to PDAC early-stage metastasis by inducing tumour CD47 upregulation and macrophage extracellular traps formation. [ABSTRACT FROM AUTHOR]

Background: Hepatocellular carcinoma (HCC) is considered one of the most common cancers, characterized by low early detection and high mortality rates, and is a global health challenge. Immunogenic cell death (ICD) is defined as a specific type of regulated cell death (RCD) capable of reshaping the tumor immune microenvironment by releasing danger signals that trigger immune responses, which would contribute to immunotherapy. Methods: The ICD gene sets were collected from the literature. We collected expression data and clinical information from public databases for the HCC samples in our study. Data processing and mapping were performed using R software to analyze the differences in biological characteristics between different subgroups. The expression of the ICD representative gene in clinical specimens was assessed by immunohistochemistry, and the role of the representative gene in HCC was evaluated by various in vitro assays, including qRT-PCR, colony formation, and CCK8 assay. Lasso-Cox regression was used to screen prognosis-related genes, and an ICD-related risk model (ICDRM) was constructed. To improve the clinical value of ICDRM, Nomograms and calibration curves were created to predict survival probabilities. Finally, the critical gene of ICDRM was further investigated through pan-cancer analysis and single-cell analysis. Results: We identified two ICD clusters that differed significantly in terms of survival, biological function, and immune infiltration. As well as assessing the immune microenvironment of tumors in HCC patients, we demonstrate that ICDRM can differentiate ICD clusters and predict the prognosis and effectiveness of therapy. High-risk subpopulations are characterized by high TMB, suppressed immunity, and poor survival and response to immunotherapy, whereas the opposite is true for low-risk subpopulations. Conclusions: This study reveals the potential impact of ICDRM on the tumor microenvironment (TME), immune infiltration, and prognosis of HCC patients, but also a potential tool for predicting prognosis. [ABSTRACT FROM AUTHOR]

The impact of sarcopenia on textbook outcome (TO) after hepatectomy in hepatocellular carcinoma (HCC) patients remains unclear. This study aimed to investigate the association between sarcopenia and TO, to clarify its long and short-term prognostic value, and to develop a nomogram model based on sarcopenia and TO for survival prediction. Patients who underwent HCC resection between January 2012 and March 2017 in three large hospitals in Fujian were retrospectively recruited and divided into sarcopenia and non-sarcopenia groups based on skeletal muscle index (SMI) values. TO was defined as no 30-day morality, no 30-day readmission, negative margins, no prolonged hospital stay, and no major complications. Multivariate regression was used to screen for clinical factors associated with TO. Nomograms of overall survival (OS) and recurrence-free survival (RFS) after hepatectomy for HCC were developed. A total of 1172 patients were included in the study. The TO rates were 28.74% (121/421 patients) in the sarcopenia group and 43.4% (326/751 patients) in the non-sarcopenia group. The results showed that sarcopenia was an independent predictor of TO (p < 0.001), TO was an independent predictor of perioperative treatment-related sarcopenia (PTRS)(p = 0.002), and TO was an independent predictor of OS and RFS (p < 0.001). Nomogram models based on sarcopenia and TO were generated and accurately predicted OS and RFS at 1, 3, and 5 years. Both sarcopenia and TO are independent predictors of OS and RFS after HCC resection. Sarcopenia was an independent predictor of TO. Sarcopenia influenced long-term survival by affecting short-term postoperative outcomes. [ABSTRACT FROM AUTHOR]