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The aim of this study was to investigate whether genotypes of HRG may modify the effect of Se(selenium) on all-cause mortality and cancer risk. The study was conducted on 2782 initially unaffected women from families with familial breast cancers, all registered at the Hereditary Cancer Centre in Szczecin. Participants were aged 40 years or older and were recruited between September 2010 and March 2024. Women carrying a BRCA1 mutation and those with a diagnosed cancer were excluded from the study. Blood Se levels were measured using inductively coupled plasma mass spectrometry, and molecular analyses of HRG (Histidine-rich glycoprotein) genotypes were performed using real-time PCR with TaqMan probes. After an average follow-up period of 6 years and 2 months, 89 deaths and 210 cases of cancer were identified. The study showed significant differences in the reference range of blood selenium levels, as well as its impact on all-cause mortality and cancer risk, depending on HRG genotype. The most striking finding regarding all-cause mortality risk was observed among women over 50 years of age, effect estimates are presented as hazard ratios (HRs) with 95% confidence intervals (CIs). Regardless of genotype, women with blood selenium (Se) levels in the lowest quartile (Q1) had a significantly higher all-cause mortality risk compared with those in the highest quartile (Q4), (HR = 3.07; 95%CI: 1.53–6.16; p = 0.001). Among women with the HRG non-TT genotype, the risk was even more pronounced—those with Se levels in Q1 had a significantly increased mortality risk compared with women in the higher quartiles (Q2–Q4) (HR = 7.68; 95%CI: 2.31–25.47; p = 0.0008). In contrast, for carriers of the HRG TT genotype, increased all-cause mortality risk was observed only when blood Se levels were in Q1 compared with Q4 (HR = 2.40; 95%CI: 1.09–5.31; p = 0.029). Important findings for any cancer risk have emerged in women below 50 years of age. Among women with the HRG TT genotype, the cancer risk was significantly increased in Q1 compared with women in Q2 (HR = 4.15; 95%CI: 1.55–11.06; p = 0.004). In contrast, the results for HRG non-TT carriers, regardless of genotype, were statistically insignificant. In summary, mortality and cancer risk appeared to be dependent on HRG genotype and blood Se levels. Full article

Background/Objectives: This study aimed to construct a risk score (RS) based on necroptosis-associated genes to predict the prognosis of patients with advanced epithelial ovarian cancer (EOC). Methods: EOC data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) series 140082 (GSE140082) were used. Based on known necroptosis-associated genes, clustering was performed to identify molecular subtypes of EOC. A least absolute shrinkage and selection operator (LASSO)–Cox regression analysis identified key genes related to prognosis. The expression of one of them, RIPK3, was analyzed via immunohistochemistry in an EOC cohort. Results: An RS made from ten genes (IDH2, RIPK3, FASLG, BRAF, ITPK1, TNFSF10, ID1, PLK1, MLKL and HSPA4) was developed. Tumor samples were divided into a high-risk group (HRG) and low-risk group (LRG) using the RS. The model is able to predict the overall survival (OS) of EOC and distinguish the prognosis of different clinical subgroups. Immunohistochemical verification of the receptor-interacting serine/threonine-protein kinase (RIPK) 3 confirmed that high nuclear expression is correlated with a longer OS. In addition, the score can predict the response to a programmed death ligand 1 (PD-L1) blockade treatment in selected solid malignancies. Patients from the LRG seem to benefit more from it than patients from the HRG. Conclusions: Our RS based on necroptosis-associated genes might help to predict the prognosis of patients with advanced EOC and gives an idea on how the use of immunotherapy can potentially be guided. Full article