Background Venous thromboembolism (VTE) is a threat to the prognosis of tumor patients, especially for critically ill patients. No uniform standard model of VTE risk for critically ill patients with tumors was formatted by now. We thus analyzed risk factors of VTE from the perspectives of patient, tumor and treatment, and assessed the predictive value of the ICU-VTE score, which consisted of six independent risk factors (central venous catheterization, 5 points; immobilization ≧ 4 days, 4 points; prior VTE, 4 points; mechanical ventilation, 2 points; lowest hemoglobin during hospitalization ≧ 90 g/L, 2 points; and baseline platelet count > 250 000/µL, 1 points). Methods We evaluated the data of tumor patients admitted to the Intensive Care Unit of the Peking University Cancer Hospital between November 2011 and January 2022, 560 cases who received VTE-related screening during hospitalization were chosen for this retrospective study. Results The in-hospital VTE occurrence rate in our cohort was 55.7% (312/560), with a median interval from ICU admission to VTE diagnosis of 8.0 days. After the multivariate logistic regression analysis, several factors were proved to be significantly associated with in-hospital VTE: age ≧ 65 yrs, high tumor grade (G3-4), medical diseases, fresh frozen plasma transfusion, and anticoagulant prophylaxis. The medium-high risk group according to the ICU-VTE score was positively correlated with VTE when compared with the low risk group (9–18 points vs. 0–8 points, OR, 3.13; 95% CI, 2.01–4.85, P < 0.001). The AUC of the ICU-VTE scores according to the ROC curve was 0.714 (95% CI, 0.67–0.75, P < 0.001). Conclusions The ICU-VTE score, as well as tumor grade, might assist in the assessment of in-hospital VTE risk for critically ill patients with tumors. The predictive accuracy might be improved when combining two of them, further follow-up researches are needed to confirm it.

Background and aim: Genetic variations in solute carrier (SLC) genes are associated with liver diseases, and Kruppel-like factor 12 (KLF12) affects the b chain of hemoglobin. We investigated possible correlations of SLC and KLF12 polymorphisms with viral clearance (spontaneous and treatment-induced) and adverse effects in Chinese chronic hepatitis C (CHC) patients. Methods: We genotyped the single nucleotide polymorphisms in 525 CHC patients, 137 patients with spontaneous clearance, and 207 healthy controls. Three hundred fifty-seven CHC patients received recombinant interferon-alpha2b/ribavirin (IFN-α2b/RBV) treatment, and 175 patients were chosen for analysis of drug-induced cytopenia. All raw P-values were corrected by the Bonferroni method. Results: A higher rate of sustained viral response was detected in patients with SLC4A11 rs3810560 CC variant versus TT/TC variant (76.9% vs 59.2%; OR, 2.42; 95% CI, 1.06-5.56, P = 0.037 after adjustment), but there was no significant difference among different hepatitis C virus genotypes. RBV-induced anemia was independently correlated with SLC29A1 rs760370 AA genotype (OR, 2.90; 95% CI, 1.29-6.54, P = 0.010), and the severity of IFN-induced thrombocytopenia was related to GG genotype (OR, 4.98; 95% CI, 1.27-19.61; P = 0.021); the detected effects held true for HCV-2a patients but weakened in HCV-1b patients. A reactive increase in platelet count was closely associated with KLF12 rs9543524 TT variant. Conclusion: SLC4A11 rs3810560 polymorphism independently affected the sustained viral response rates in CHC patients, whereas SLC29A1 rs760370 and KLF12 rs9543524 single nucleotide polymorphisms correlated with treatment-induced adverse events. Clearly, the predictive power varied with HCV genotypes and the reason for genotype-dependent discrepancy was not fully understood.

Background Venous thromboembolism (VTE) is a threat to the prognosis of tumor patients, especially for critically ill patients. No uniform standard model of VTE risk for critically ill patients with tumors was formatted by now. We thus analyzed risk factors of VTE from the perspectives of patient, tumor, and treatment and assessed the predictive value of the ICU-VTE score, which consisted of six independent risk factors (central venous catheterization, 5 points; immobilization ≥ 4 days, 4 points; prior VTE, 4 points; mechanical ventilation, 2 points; lowest hemoglobin during hospitalization ≥ 90 g/L, 2 points; and baseline platelet count > 250,000/μL, 1 points). Methods We evaluated the data of tumor patients admitted to the intensive care unit of the Peking University Cancer Hospital between November 2011 and January 2022; 560 cases who received VTE-related screening during hospitalization were chosen for this retrospective study. Results The inhospital VTE occurrence rate in our cohort was 55.7% (312/560), with a median interval from ICU admission to VTE diagnosis of 8.0 days. After the multivariate logistic regression analysis, several factors were proved to be significantly associated with inhospital VTE: age ≥ 65 years, high tumor grade (G3–4), medical diseases, fresh frozen plasma transfusion, and anticoagulant prophylaxis. The medium-high risk group according to the ICU-VTE score was positively correlated with VTE when compared with the low-risk group (9–18 points vs. 0–8 points; OR, 3.13; 95% CI, 2.01–4.85, P < 0.001). The AUC of the ICU-VTE scores according to the ROC curve was 0.714 (95% CI, 0.67–0.75, P < 0.001). Conclusions The ICU-VTE score, as well as tumor grade, might assist in the assessment of inhospital VTE risk for critically ill patients with tumors. The predictive accuracy might be improved when combining two of them; further follow-up researches are needed to confirm it.

Background: Cutaneous melanoma (CM) has a poor overall prognosis. Immune checkpoint inhibitor (ICI) therapy effectively improves overall survival in individuals with advanced melanoma, but only some patients benefit. Serpin Family A Member 1 (SERPINA1), a type of proteinase inhibitor that is used for many targets, is abnormally expressed and plays a vital role in multiple cancers. However, little is known about the clinical significance of SERPINA1 in CM. Methods:The Cancer Genome Atlas (TCGA) and the gene expression omnibus (GEO) datasets were used to compare SERPINA1 expression levels. The association between SERPINA1 and other clinical factors were examined with R software, and receiver operating characteristic (ROC) curves for identification was developed. The Tumor IMmune Estimation Resource (TIMER) was used to examine the invasion of immune cells, markers for immune cells, and immunological checkpoints. The predictive value of SERPINA1 DNA methylation levels for every CpG was analyzed with the MethSurv web tool. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to assess the roles of genes that interacted with SERPINA1. The Tumor Immune Dysfunction and Exclusion (TIDE) algorithm was used to predict SERPINA1's response to ICIs.Results: SERPINA1 was substantially expressed in CM. Overexpression of SERPINA1 was significantly associated with CM severity. The outcome for individuals with elevated SERPINA1 expression was good (HR =0.54, P<0.001). Using SERPINA1 expression levels, tumors and normal tissues could be reliably differentiated [area under the curve (AUC) =0.889]. Positive associations were found between SERPINA1 in CM and the infiltration of immune cells and immunological checkpoints [programmed cell death-1 (PD-1) and CTLA-4]. The efficacy of immune checkpoint blockade (ICB) in patients with a low expression of SERPINA1 was good. The GO pathway enrichment analysis showed that activation of neutrophil granulocytes participated in enrichment in the immune response pathway. Patients with low SERPINA1 expression had low TIDE scores.Conclusions: SERPINA1 is involved not only in the development and progression of CM but also in the immunological control of CM. Thus, SERPINA1 may serve as a possible biomarker for CM diagnosis, as well as its therapeutic target.