Statin Use Is Associated with Better Prognosis of Patients with Prostate Cancer after Definite Therapies: A Systematic Review and Meta-Analysis of Cohort Studies

Preoperative metabolic syndrome and prognosis after pancreatectomy for pancreatic cancer: A retrospective study

BACKGROUND

We conducted a retrospective study to investigate the impact of metabolic syndrome (MetS), its individual components, and the number of metabolic risk factors on the prognosis of pancreatic cancer (PC) following pancreatectomy.

METHODS

MetS was defined as meeting any three of the following criteria: (1) waist circumference ≥85 cm in men or ≥80 cm in women; (2) triglycerides ≥150 mg/dL or receiving drug treatment for elevated triglycerides; (3) high-density lipoprotein cholesterol <40 mg/dL in men or <50 mg/dL in women or receiving drug treatment for reduced HDL-C; (4) systolic blood pressure ≥130 mmHg and/or diastolic blood pressure ≥85 mmHg or receiving drug treatment for hypertension; and (5) fasting glucose, (FG) ≥100 mg/dL or receiving drug treatment for elevated glucose. The hazard ratio (HR) and 95% confidence interval (CI) were calculated by the Cox regression model.

RESULTS

Six hundred and seven patients who underwent radical resection for PC were enrolled in this study. Among them, 352 patients presented with preoperative MetS. MetS was associated with shorter overall survival (OS) but not with shorter disease-free survival (DFS). The adjusted HR (95% CI) for the poor OS in patients with 3, 4, and 5 metabolic risk components (vs. ≤ 2) were 1.32 (1.03-1.84), 1.64 (1.18-2.29), and 1.96 (1.27-3.04), respectively (p < 0.05). Elevated FG emerged as a significant predictor for poor OS and DFS.

CONCLUSIONS

This study highlights that preoperative MetS serves as a significant predictor for OS in patients with PC, with its predictive value escalating as the number of metabolic risk components increases.

Upregulation of CoQ shifts ferroptosis dependence from GPX4 to FSP1 in acquired radioresistance

Acquired radioresistance is the primary contributor to treatment failure of radiotherapy, with ferroptosis is identified as a significant mechanism underlying cell death during radiotherapy. Although resistance to ferroptosis has been observed in both clinical samples of radioresistant cells and cell models, its mechanism remains unidentified. Herein, our investigation revealed that radioresistant cells exhibited greater tolerance to Glutathione Peroxidase 4 (GPX4) inhibitors and, conversely, increased sensitivity to ferroptosis suppressor protein 1 (FSP1) inhibitors compared to their sensitive counterparts. This observation suggested that FSP1 might play a dominant role in the development of radioresistance. Notably, the knockout of FSP1 demonstrated considerably superior efficacy in resensitizing cells to radiotherapy compared to the knockout of GPX4. To elucidate the driving force behind this functional shift, we conducted a metabolomic assay, which revealed an upregulation of Coenzyme Q (CoQ) synthesis and a downregulation of glutathione synthesis in the acquired radioresistance cells. Mechanistically, CoQ synthesis was found to be supported by aarF domain containing kinase 3-mediated phosphorylation of CoQ synthases, while the downregulation of Solute carrier family 7 member 11 led to decreased glutathione synthesis. Remarkably, our retrospective analysis of clinical response data further validated that the additional administration of statin during radiotherapy, which could impede CoQ production, effectively resensitized radioresistant cells to radiation. In summary, our findings demonstrate a dependency shift from GPX4 to FSP1 driven by altered metabolite synthesis during the acquisition of radioresistance. Moreover, we provide a promising therapeutic strategy for reversing radioresistance by inhibiting the FSP1-CoQ pathway.

A Systematic Review and Meta-analysis on the Role of Statins in the Prevention of Mortality Following Pancreatic Cancer

BACKGROUND

Pancreatic cancer (PC) is a type of cancer with a high incidence and case-fatality rate.

OBJECTIVE

This study aimed to evaluate the role of statins in preventing mortality following PC based on scientific evidence with systematic review and meta-analysis method.

METHODS

This meta-analysis considered studies published from 1980 till the end of 2022 in ISI Web of Science, Scopus, PubMed, Cochrane, Science Direct, Google Scholar, and Embase databases. Funnel diagrams and Begg's and Egger's tests were used to assess the publication bias.

RESULTS

In general, this meta-analysis has included 19 studies (13 cohort studies, 4 case-control, and 2 randomized clinical trials (RCTs)) and a total of 100,888 patients with PC. The risk of mortality of PC in statin users in total was 0.86 (95% CI: 0.80 - 0.92, P-value <0.001); in the case-control studies, it was equal to 0.53 (0.34-0.83); in the cohort studies, it was equal to 0.87 (0.82-0.92, P-value <0.001); in RCTs, it was equal to 1.19 (0.99-1.42, P-value <0.001); in studies with good quality score category, it was equal to 0.92 (0.86-0.99, P-value <0.001), and in articles of the moderate quality score category, it was equal to 0.73 (0.64-0.84, P-value <0.001). The results of statistical tests indicated the existence of publication bias (Begg's test (P-value = 0.002) and Egger's test (P-value = 0.004)).

CONCLUSION

Statins reduce the risk of mortality in patients with PC. However, no significant relation has been observed in RCTs. Therefore, it is necessary to be cautious in interpreting the results.