Impact of baseline body composition on prognostic outcomes in urological malignancies treated with immunotherapy: a pooled analysis of 10 retrospective studies.

OBJECTIVE: Numerous epidemiological investigations have explored the impact of body composition on the effectiveness of immune checkpoint inhibitors (ICIs) in urological malignancies (UM) patients, yielding conflicting findings. As a result, our study aims to elucidate the influence of baseline body composition on the long-term prognosis of UM patients treated with ICIs. METHODS: We employed a rigorous systematic search across various databases, including PubMed, Embase, the Cochrane Library, and Google Scholar, to identify studies meeting our inclusion criteria. Our primary endpoints of interest encompassed overall survival (OS) and progression-free survival (PFS). RESULTS: This analysis included a total of 10 articles with a combined patient cohort of 707 individuals. Our findings revealed a noteworthy association between several body composition parameters and unfavorable OS outcomes, including low psoas muscle index (PMI; HR: 3.88, p < 0.001), low skeletal muscle index (SMI; HR: 1.63, p < 0.001), sarcopenia (HR: 1.88, p < 0.001), low visceral adipose index (VAI; HR: 1.38, p = 0.018) and low subcutaneous adipose index (SAI; HR: 1.37, p = 0.018). Furthermore, our analysis demonstrated that low PMI (HR: 2.05, p = 0.006), low SMI (HR: 1.89, p = 0.002), sarcopenia (HR: 1.80, p < 0.001), and low VAI (HR:1.59, p = 0.005) were significantly correlated with inferior PFS. Conversely, SAI did not manifest a pronounced association with PFS in UM patients treated with ICIs. CONCLUSION: Collectively, our study findings underscore a substantial relationship between baseline body composition and reduced clinical efficacy in UM patients undergoing ICI therapy.

Construction of a Nomogram to Predict Overall Survival in Patients with Early-Onset Hepatocellular Carcinoma: A Retrospective Cohort Study.

Hepatocellular carcinoma (HCC) is a widespread and impactful cancer which has pertinent implications worldwide. Although most cases of HCC are typically diagnosed in individuals aged ≥60 years, there has been a notable rise in the occurrence of HCC among younger patients. However, there is a scarcity of precise prognostic models available for predicting outcomes in these younger patients. A retrospective analysis was conducted to investigate early-onset hepatocellular carcinoma (EO-LIHC) using data from the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2018. The analysis included 1392 patients from the SEER database and our hospital. Among them, 1287 patients from the SEER database were assigned to the training cohort (n = 899) and validation cohort 1 (n = 388), while 105 patients from our hospital were assigned to validation cohort 2. A Cox regression analysis showed that age, sex, AFP, grade, stage, tumor size, surgery, and chemotherapy were independent risk factors. The nomogram developed in this study demonstrated its discriminatory ability to predict the 1-, 3-, and 5-year overall survival (OS) rates in EO-LIHC patients based on individual characteristics. Additionally, a web-based OS prediction model specifically tailored for EO-LIHC patients was created and validated. Overall, these advancements contribute to improved decision-making and personalized care for individuals with EO-LIHC.

High intramuscular adipose tissue content associated with prognosis and postoperative complications of cancers.

Sarcopenia has been considered an adverse prognostic factor in cancer patients. Intramuscular adipose tissue content, as a new marker of sarcopenia, can effectively reflect skeletal muscle quality. The aim of this study was performed to evaluate the association between high intramuscular adipose tissue content (IMAC) and survival outcomes and postoperative complications in cancer patients. Specific databases, including the Web of Science, Embase and Web of Science, were systematically searched to identify relevant articles evaluating the prognostic value of IMAC in cancer patients. Hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs) were utilized for comprehensive analysis. All data analyses were performed using STATA 12.0 software. A total of 25 studies from 24 articles including 5663 patients were enrolled in the study. Meta-analysis showed that high IMAC was associated with unfavourable overall survival (OS) (HR: 2.21, 95% CI: 1.70-2.86, P < 0.001), relapse-free survival (RFS) (HR: 1.51, 95% CI: 1.30-1.75, P < 0.001) and disease-specific survival (DSS) (HR: 1.64, 95% CI: 1.19-2.28, P = 0.003). Subgroup analysis revealed that high IMAC remained an adverse prognostic factor when stratified by different country, treatment methods, cancer type or analysis type. High IMAC had better predictive value for gallbladder carcinoma (GBC) (HR: 3.50, 95% CI: 1.98-6.17, P < 0.001), hepatocellular carcinoma (HCC) (HR: 1.84, 95% CI: 1.45-2.33, P < 0.001), pancreatic cancer (PC) (HR: 2.11, 95% CI: 1.67-2.66, P < 0.001) and colorectal cancer (CRC) (HR: 2.54, 95% CI: 1.27-5.10, P = 0.009). High IMAC was also identified as a significant risk factor for postoperative complications (OR: 2.05, 95% CI: 1.22-3.46, P = 0.007). High IMAC was associated with an adverse prognosis and an increased risk of postoperative complications in cancer patients. IMAC may be a good indicator of sarcopenia.

Prognostic nutritional index as a prognostic biomarker for gastrointestinal cancer patients treated with immune checkpoint inhibitors.

Objective: Our study represents the first meta-analysis conducted to evaluate the prognostic utility of the baseline prognostic nutritional index (PNI) in patients with gastrointestinal cancer (GIC) who received immune checkpoint inhibitor (ICI) therapy. Methods: We searched PubMed, the Cochrane Library, EMBASE, and Google Scholar until April 23, 2023, to obtain relevant articles for this study. Our analysis examined several clinical outcomes, including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). Results: In this analysis, a total of 17 articles with 2883 patients were included. Our pooled results indicated that patients with high PNI levels had longer OS (HR: 0.530, 95% CI: 0.456-0.616, p < 0.001) and PFS (HR: 0.740, 95% CI: 0.649-0.844, p < 0.001), as well as higher ORR (OR: 1.622, 95% CI: 1.251-2.103, p < 0.004) and DCR (OR: 1.846, 95% CI: 1.428-2.388, p < 0.001). Subgroup analysis showed that PNI cutoff values of 40 to 45 showed greater predictive potential. Subgroup analysis also confirmed that the above findings still hold true in patients with esophageal cancer, gastric cancer, and hepatocellular carcinomas. Conclusion: The PNI were reliable predictors of outcomes in GIC patients treated with ICIs.

Uridine Inhibits Hepatocellular Carcinoma Cell Development by Inducing Ferroptosis.

Uridine is a key metabolite used as a substrate for the production of DNA, RNA, and glucose, and it is mainly synthesized in the liver. Currently, it is not known whether uridine levels are altered in the tumor microenvironment of patients with hepatocellular carcinoma (HCC) and whether uridine can be a target for tumor therapy. In this study, the detection of genes associated with de novo uridine synthesis, carbamoyl-phosphate synthetase 2, aspartate transcarbamylase, dihydroorotase (CAD) (n = 115), and dihydroorotate dehydrogenase (DHODH) (n = 115) in HCC tissues through tissue microarrays revealed that the expression of CAD and DHODH was higher in tumor compared with paraneoplastic tissues. Next, we collected tumor tissues from surgically resected HCC patients and the corresponding adjacent non-tumor tissues (n = 46) for LC-MS/MS assays. The results showed that the median and interquartile ranges of uridine content in non-tumor and tumor tissues were 640.36 (504.45-807.43) and 484.22 (311.91-626.73) nmol/g, respectively. These results suggest that uridine metabolism is disturbed in HCC patients. To further investigate whether uridine can be used as a tumor-therapeutic target, a series of high concentrations of uridine were incubated with HCC cells in vitro and in vivo. It was observed that uridine dose-dependently inhibited the proliferation, invasion, and migration of HCC cells by activating the ferroptosis pathway. Overall, these results reveal for the first time the range of uridine content in human HCC tissues and suggest that uridine may be a new target for HCC therapy.

Prognostic value of nectin-4 in human cancers: A meta-analysis.

Background: Many reports have described that abnormal nectin-4 expression may be used as a prognostic marker in many tumors. However, these studies failed to reach a consensus. Here, we performed a meta-analysis to comprehensively evaluate the prognostic value of nectin-4 in cancers. Methods: Relevant studies were identified through a comprehensive search of PubMed, EMBASE and Web of science until August 31, 2022. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were used to evaluate the relationship between nectin-4 expression and overall survival (OS) and disease-free survival/progression-free survival/relapse-free survival (DFS/PFS/RFS). Odds ratios (ORs) with 95% CIs were applied to assess the relationship between nectin-4 expression and clinicopathologic features. Subgroup analysis was performed to explore the sources of heterogeneity. Sensitivity analysis and funnel plot were used to test the reliability of the results. All data analyses were performed using STATA version 12.0 software. Results: Fifteen articles involving 2245 patients were included in the meta-analysis. The pooled analysis showed that high nectin-4 expression was significantly associated with poor OS (HR: 1.75, 95% CI: 1.35-2.28). There was no relationship between high nectin-4 expression and DFS/PFS/RFS (HR: 178, 95% CI: 0.78-4.08).Subgroup analyses revealed that that high nectin-4 expression mainly presented adverse OS in esophageal cancer (EC) (HR: 1.78, 95% CI: 1.30-2.44) and gastric cancer (GC) (HR: 1.92, 95% CI: 1.43-2.58). We also found that high nectin-4 expression was associated with tumor diameter (big vs small) (OR: 1.96, 95% CI: 1.02-3.75), tumor stage (III-IV vs I-II) (OR: 2.04, 95% CI: 1.01-4.12) and invasion depth (T3+T4 vs T2+T1) (OR: 3.95, 95% CI: 2.06-7.57). Conclusions: Nectin-4 can be used as an effective prognostic indicator for specific cancers.