The association between Life's Essential 8 and all-cause, cancer and non-cancer mortality in US Cancer Survivors: A retrospective cohort study of NHANES.

OBJECTIVE: To investigate Life's Essential 8 (LE8), a measure of cardiovascular health (CVH), associations with mortality outcomes in cancer survivors. METHODS: A prospective cohort study included 1818 cancer survivors aged ≥20 years (weighted population: 13,204,583) from National Health and Nutrition Examination Survey (NHANES) 2005-2018. Linked to mortality data through 2019, LE8 data were gathered through self-reports and lab tests. An LE8 score of 80-100 is considered high CVH, 60-79 is moderate CVH, and 0-59 is low CVH. Multivariable Cox proportional hazards regression models were employed to evaluate the associations between LE8 and all-cause, cancer-specific and non-cancer mortality. Subsequently, subgroup analyses were conducted to assess the relationship between LE8 and mortality rates across various subgroups. RESULTS: At baseline, there were 1818 cancer survivors. In a 15-year follow-up, 2548 deaths occurred: 601 from cancer, 647 from heart disease, and 1300 from other causes. Multivariable models showed high CVH associated with lower hazard ratios for all-cause, cancer-specific and non-cancer mortality vs. low CVH. Cumulative mortality rates increased during follow-up, more so in the low CVH group. Subgroup analysis revealed significant LE8 interactions with age or Poverty Income Ratio (PIR) for all-cause mortality. Additionally, significant interactions between LE8 and PIR were identified for cancer-specific and non-cancer mortality risks (P for interaction <0.05). CONCLUSION: Among U.S. cancer survivors, higher CVH is independently linked to lower all-cause, cancer-specific, and non-cancer mortality risks. The new CVH definition shows promise as a primary prevention strategy to reduce mortality rates in U.S. cancer survivors.

A risk signature based on endoplasmic reticulum stress-associated genes predicts prognosis and immunity in pancreatic cancer.

Introduction: The involvement of endoplasmic reticulum (ER) stress in cancer biology is increasingly recognized, yet its role in pancreatic cancer (PC) remains unclear. This study aims to elucidate the impact of ER stress on prognosis and biological characteristics in PC patients. Methods: A bioinformatic analysis was conducted using RNA-seq data and clinicopathological information from PC patients in the TCGA and ICGC databases. The ER stress-associated gene sets were extracted from MSigDB. ER stress-associated genes closely linked with overall survival (OS) of PC patients were identified via log-rank test and univariate Cox analysis, and further narrowed by LASSO method. A risk signature associated with ER stress was formulated using multivariate Cox regression and assessed through Kaplan-Meier curves, receiver operating characteristic (ROC) analyses, and Harrell's concordance index. External validation was performed with the ICGC cohort. The single-sample gene-set enrichment analysis (ssGSEA) algorithm appraised the immune cell infiltration landscape. Results: Worse OS in PC patients with high-risk signature score was observed. Multivariate analysis underscored our ER stress-associated signature as a valuable and independent predictor of prognosis. Importantly, these results based on TCGA were further validated in ICGC dataset. In addition, our risk signature was closely associated with homeostasis, protein secretion, and immune regulation in PC patients. In particular, PC microenvironment in the high-risk cluster exhibited a more immunosuppressive status. At last, we established a nomogram model by incorporating the risk signature and clinicopathological parameters, which behaves better in predicting prognosis of PC patients. Discussion: This comprehensive molecular analysis presents a new predictive model for the prognosis of PC patients, highlighting ER stress as a potential therapeutic target. Besides, the findings indicate that ER stress can have effect modulating PC immune responses.

Neutrophil extracellular traps regulating tumorimmunity in hepatocellular carcinoma.

As a component of the innate immune system, there is emerging evidence to suggest that neutrophils may play a critical role in the initiation and progression of hepatocellular carcinoma (HCC). Neutrophil extracellular traps (NETs) are web-like chromatin structures that protrude from the membranes during neutrophil activation. Recent research has shown that NETs, which are at the forefront of the renewed interest in neutrophil studies, are increasingly intertwined with HCC. By exploring the mechanisms of NETs in HCC, we aim to improve our understanding of the role of NETs and gain deeper insights into neutrophil biology. Therefore, this article provides a summary of key findings and discusses the emerging field of NETs in HCC.

STAT3 Inhibitors: A Novel Insight for Anticancer Therapy of Pancreatic Cancer.

The signal transducer and activator of transcription (STAT) is a family of intracellular cytoplasmic transcription factors involved in many biological functions in mammalian signal transduction. Among them, STAT3 is involved in cell proliferation, differentiation, apoptosis, and inflammatory responses. Despite the advances in the treatment of pancreatic cancer in the past decade, the prognosis for patients with pancreatic cancer remains poor. STAT3 has been shown to play a pro-cancer role in a variety of cancers, and inhibitors of STAT3 are used in pre-clinical and clinical studies. We reviewed the relationship between STAT3 and pancreatic cancer and the latest results on the use of STAT3 inhibitors in pancreatic cancer, with the aim of providing insights and ideas around STAT3 inhibitors for a new generation of chemotherapeutic modalities for pancreatic cancer.

High expression of protein phosphatase 2 regulatory subunit B'' alpha predicts poor outcome in hepatocellular carcinoma patients after liver transplantation.

BACKGROUND: Protein phosphatase 2 regulatory subunit B'' alpha (PPP2R3A) gene has been reported in other tumors, but the influence of PPP2R3A gene expression on the occurrence, development, and prognosis of hepatocellular carcinoma (HCC) remains unclear. AIM: To investigate whether the PPP2R3A gene could be used to predict tumor recurrence and survival of HCC patients after liver transplantation (LT). METHODS: Diseased liver tissues of HCC patients after LT were collected as well as their clinical data and follow-up information. The immunohistochemical method was used to detect the expression of PPP2R3A protein in the tissues of 108 patients with primary liver cancer. The χ 2 test was used to analyze the relationship between PPP2R3A protein expression levels and the clinicopathological features of tumors. The Kaplan-Meier method was used to analyze overall postoperative survival. The COX proportional hazard model was used to analyze adverse prognostic factors. RESULTS: Immunohistochemistry showed that the PPP2R3A protein was mainly expressed in the cytoplasm of HCC cells. Compared to corresponding peritumoral tissues, expression was higher in HCC tissues (P ≤ 0.001). Correlation analysis showed that high PPP2R3A expression was correlated with preoperative serum alpha-fetoprotein (AFP) levels (P = 0.003), tumor-node-metastasis-t stage (P ≤ 0.001), and envelope invasion (P = 0.001). Univariate analysis showed that overall survival (P ≤ 0.001) and recurrence-free survival (P = 0.025) of patients with high PPP2R3A expression (≥ 4 points) were poor compared to those with low expression (< 4 points). The overall survival rates or recurrence-free survival rates at 1, 2, and 3 years with high PPP2R3A expression were 73%, 38%, and 23% or 31%, 23%, and 23%, respectively. Multivariate analysis showed that high PPP2R3A expression (hazard ratio = 2.900, 95% confidence interval: 1.411-5.960, P = 0.004) was an independent survival risk factor of HCC patients after LT, and it was also an independent predictor of postoperative tumor recurrence. This study also showed in patients with AFP ≥ 400 ng/mL, the overall survival (P ≤ 0.001) and recurrence-free survival (P = 0.023) of those with high PPP2R3A expression were significantly worse compared to those with low PPP2R3A expression. When PPP2R3A expression was low, the overall survival rate (P = 0.461) or recurrence-free survival rate (P = 0.072) after LT in patients with AFP < 400 ng/mL and ≥ 400 ng/mL was not significantly difference. The 1, 2, and 3 year survival rate of patients with low PPP2R3A expression and AFP < 400 ng/mL were 98%, 80%, and 69%, respectively, while patients who met Hangzhou criteria had a post-transplant 1, 2, and 3 years overall survival rate of 89%, 66%, and 55%, respectively. CONCLUSION: High expression of PPP2R3A might be a potential marker for predicting poor prognosis of HCC after LT. Combined with serum AFP levels, PPP2R3A might enhance the accuracy of predicting HCC outcome in patients after LT and supplement the efficacy of the Hangzhou criteria.