Expression of Serum sLOX-1 in Patients with Non-Small-Cell Lung Cancer and Its Correlation with Lipid Metabolism

Beyond binary: bridging neutrophil diversity to new therapeutic approaches in NSCLC

Neutrophils represent the most abundant myeloid cell subtype in the non-small-cell lung cancer (NSCLC) tumor microenvironment (TME). By anti- or protumor polarization, they impact multiple aspects of tumor biology and affect sensitivity to conventional therapies and immunotherapies. Single-cell RNA sequencing (scRNA-seq) analyses have unraveled an extensive neutrophil heterogeneity, helping our understanding of their pleiotropic role. In this review we summarize recent data and models on tumor-associated neutrophil (TAN) biology, focusing on the diversity that evolves in response to tumor-intrinsic cues. We categorize available transcriptomic profiles from different cancer entities into a defined set of neutrophil subclusters with distinct phenotypic properties, to step beyond the traditional binary N1/2 classification. Finally, we discuss potential ways to exploit these neutrophil states in the setting of anticancer therapy.

Role of High-sensitivity C-reactive Protein in Future Cardiovascular Events in Hemodialysis Patients

BACKGROUND/AIM

The pathogenesis of cardio-vascular disease (CVD) in hemodialysis (HD) patients involves inflammation and oxidative stress. High-sensitivity C-reactive protein (hs-CRP) is an established inflammatory biomarker associated with CVD. Several studies have suggested that the inflammatory biomarker pentraxin-3 (PTX-3) and the oxidative stress-related biomarker soluble lectin-like low-density lipoprotein receptor-1 (sLOX-1) are novel biomarkers for CVD in non-HD populations. This study aimed to clarify the association of these established and novel biomarkers with future cardiovascular (CV) events in HD patients.

PATIENTS AND METHODS

This was a single-center prospective cohort study that included 255 HD patients. The primary outcome was the composite of nonfatal and fatal CV events. The event-free survival rate between the two groups according to the median plasma level of each biomarker at baseline was evaluated using the Kaplan-Meier method. The risk for CV events at elevated levels of each biomarker was estimated using Cox proportional hazard model.

RESULTS

We observed 44 CV events during the median follow-up period of 743 days. The event-free survival rate significantly differed between the two groups in hs-CRP but not in PTX-3 or sLOX-1. The unadjusted hazard ratio (HR) for CV events in patients with hs-CRP levels above the median was 2.63 [95% confidence interval (CI)=1.37-5.02]. The HR remained significant after adjusting for age, sex, history of CVD, and diabetes (HR=2.30; 95%CI=1.20-4.43).

CONCLUSION

In HD patients, hs-CRP may have a predictable role for future CV events, whereas PTX-3 and sLOX-1 do not.