NEMO-Binding Domain Peptide Attenuates Lipopolysaccharide-Induced Acute Lung Injury by Inhibiting the NF- κ

The aim of the present study is to investigate the protective effects and relevant mechanisms exerted by NEMO-binding domain peptide (NBD) against lipopolysaccharide- (LPS-) induced acute lung injury (ALI) in mice. The ALI model was induced by intratracheally administered atomized LPS (5 mg/kg) to BABL/c mice. Half an hour before LPS administration, we treated the mice with increasing concentrations of intratracheally administered NBD or saline aerosol. Two hours after LPS administration, each group of mice was sacrificed. We observed that NBD pretreatment significantly attenuated LPS-induced lung histopathological injury in a dose-dependent manner. Western blotting established that NBD pretreatment obviously attenuated LPS-induced IκB-α and NF-κBp65 activation and NOX1, NOX2, and NOX4 overexpression. Furthermore, NBD pretreatment increased SOD and T-AOC activity and decreased MDA levels in lung tissue. In addition, NBD also inhibited TNF-α and IL-1β secretion in BALF after LPS challenge. In conclusion, NBD protects against LPS-induced ALI in mice

Peripheral blood immunoinflammatory biomarkers: prospective predictors of postoperative long-term survival and chronic postsurgical pain in breast cancer

BackgroundTumor progression and chronic postsurgical pain (CPSP) in patients with breast cancer are both significantly influenced by inflammation. The associations between immunoinflammatory biomarkers and long-term survival, as well as CPSP, remain ambiguous. This study examined the predictive value of immunoinflammatory biomarkers for both long-term survival and CPSP.MethodsData on the clinicopathological characteristics and perioperative peripheral blood immunoinflammatory biomarkers of 80 patients who underwent breast cancer surgery were retrospectively collected. Optimal cut-off values for preoperative immunoinflammatory biomarkers, including the preoperative systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), and pan-immune-inflammation value (PIV), were established via receiver operating characteristic (ROC) curves. Kaplan−Meier curves and Cox regression analysis were used to evaluate the relationships between preoperative immunoinflammatory biomarkers and long-term survival. The relationships among the perioperative neutrophil count (NEU), monocyte count (MONO), lymphocyte count (LYM), platelet count (PLT), SII, SIRI, NLR, PIV, dynamic changes in peripheral blood cell counts, and CPSP were further assessed using logistic regression analysis.ResultsKaplan−Meier curves revealed a considerable prolongation of disease-free survival (DFS) and overall survival (OS) in the low preoperative SII, SIRI, NLR, and PIV groups. Multivariate Cox regression analysis revealed that only an elevated preoperative SIRI was an independent risk factor for postoperative DFS (HR=8.890, P=0.038). The incidence of CPSP was 28.75%. Univariate logistic regression analysis revealed that body mass index (BMI), postoperative NEU, MONO, SIRI, and PIV were negatively correlated with the occurrence of CPSP, whereas subsequent multivariate logistic regression analysis revealed that only BMI was independently associated with CPSP (OR=0.262, P=0.023).ConclusionElevated preoperative SIRI was an independent risk factor for poor DFS in breast cancer patients after surgery. In contrast, perioperative immunoinflammatory biomarkers had limited potential for predicting CPSP in patients who underwent breast cancer surgery

Association of TGFBR2 mutations with shorter survival in non-small cell lung cancer treated with immune checkpoint inhibitors.

e21166 Background: Transforming growth factor beta receptor 2 (TGFBR2) is a transmembrane receptor that plays an important role in both cellular functions and immune reaction, including cell proliferation, cell differentiation and extracellular matrix production. It forms a heterodimeric complex with TGF-beta receptor type-1 and binds TGF-beta. The association between TGFBR2 gene mutations and efficiency of immune checkpoint inhibitors (ICIs) has not been investigated in non-small cell lung cancer (NSCLC). Methods: Two published cohorts of NSCLC patients treat with ICIs were used to explore the immunotherapeutic predictive role of TGFBR2 gene mutations, including a discovery cohort (Gandara et al., Nature Genetics, 2018) and a validation cohort(Samstein et al. Nature Genetics, 2019). The Cancer Genome Altas (TCGA) Pan -Lung Cancer dataset was used for prognostic analysis. Results: TGFBR2 mutations were identified in 1.6% (7/429) and 2.3% (8/344) patients with NSCLC in the discovery and validation cohort, respectively. In the discovery cohort, patients with TGFBR2 mutations had shorter progression-free survival (PFS, median, 1.3 months vs 2.7 months; HR = 2.83; 95% CI, 1.33–6; p = 0.0046) and dramatically shorter overall survival (OS, median, 2.4 months vs 11.1 months; HR = 3.46; 95% CI, 1.63–7.35; p = 0.00058) than those with wild-type TGFBR2. Consistent with this, TGFBR2 mutations were significantly correlated with shorter OS (3 months vs 10 months; HR = 3.46; 95% CI, 1.63–7.35; p = 0.00058) in the validation cohort. In addition, no significant difference was found in OS between TGFBR2-mutant and TGFBR2-wild-type NSCLC patients with standard treatment in TCGA cohort (p = 0.821). Conclusions: TGFBR2 gene mutations are associated with shorter survival in NSCLC patients treated with ICIs, suggesting that TGFBR2 mutations be used as a potential biomarker of predicting the efficiency of immunotherapy and guiding NSCLC systemic treatment. </jats:p