Systemic Inflammation/Nutritional Status Scores Are Prognostic but Not Predictive in Metastatic Non-Small-Cell Lung Cancer Treated with First-Line Immune Checkpoint Inhibitors.

Biomarkers of systemic inflammation/nutritional status have been associated with outcomes in advanced-stage non-small-cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs). However, most of them were not tested in cohorts of patients treated with ICIs in combination with chemotherapy (CT) (ICI + CT) or with CT alone, making it impossible to discriminate a predictive from a prognostic effect. We conducted a single-center retrospective study to search for associations between various baseline biomarkers/scores that reflected the systemic inflammation/nutritional status (Lung Immune Prognostic Index, Modified Lung Immune Prognostic Index, Scottish Inflammatory Prognostic Score, Advanced Lung Cancer Inflammation Index, EPSILoN, Prognostic Nutritional Index, Systemic Immune-Inflammation Index, Gustave Roussy Immune Score, Royal Marsden Hospital Prognostic Score, Lung Immuno-oncology Prognostic Score 3, Lung Immuno-oncology Prognostic Score 4, score published by Holtzman et al., and Glasgow Prognostic Score) and outcomes in metastatic NSCLC treated in a first-line setting either with ICI in monotherapy (cohort 1; n = 75), ICI + CT (cohort 2; n = 56), or CT alone (cohort 3; n = 221). In the three cohorts, the biomarkers/scores were moderately associated with overall survival (OS) and progression-free survival (PFS). Their prognostic performance was relatively poor, with a maximum c-index of 0.66. None of them was specific to ICIs and could help to choose the best treatment modality. The systemic inflammation/nutritional status, associated with outcomes independently of the treatment, is therefore prognostic but not predictive in metastatic NSCLC.

Hyal2 is a glycosylphosphatidylinositol-anchored, lipid raft-associated hyaluronidase.

The rapid turnover rate of hyaluronan (HA), the major unbranched glycosaminoglycan of the extracellular matrix, is dependent on hyaluronidases. One of them, hyaluronidase-2 (Hyal2), degrades HA into smaller fragments endowed with specific biological activities such as inflammation and angiogenesis. Yet the cellular environment of Hyal2, a purported glycosylphosphatidylinositol (GPI)-anchored protein, remains uncertain. We have examined the membrane association of Hyal2 in MDA-MB231 cancer cells where it is highly expressed and in COS-7 cells transfected with native or fluorescent Hyal2 constructs. In both cell types, Hyal2 was strongly associated with cell membrane fractions from which it could be extracted using a Triton X-114 treatment (hydrophobic phase) but not an osmotic shock or an alkaline carbonate solution. Treatment of membrane preparations with phosphatidylinositol-specific phospholipase C released immunoreactive Hyal2 into the aqueous phase, confirming the protein is attached to the membrane through a functional GPI anchor. Hyal2 transfected in COS-7 cells was associated with detergent-resistant, cholesterol-rich membranes known as lipid rafts. The cellular immunofluorescent pattern of Hyal2 was conditioned by the presence of a GPI anchor. In summary, the strong membrane association of Hyal2 through its GPI anchor demonstrated in this study using biochemical methods suggests that the main activity of this enzyme is located at the level of the plasma membrane in close contact with the pericellular HA-rich glycocalyx, the extracellular matrix, or possibly endocytic vesicles.

Development of a system to quantify muscle fibre destructuration.

The aim of this study was to set up a method to quantify the loss or modification of muscle fibre structure (destructuration). Thanks to histology and image analysis, we managed to set up a reliable method with an uncertainty of 3.2%. To express the results, a new indicator called MDI (Meat Destructuration Indicator), was calibrated according to mechanically recovered meat market practices. The MDI indicator was strongly correlated (0.95) with the sensory assessment of a European panel (126 professionals). The threshold between raw materials that could be labelled as "meat" in processed products and mechanically separated meat (MSM) has been set at 58.1%, according to the panellist's judgements. Thus MDI system can be used to characterise meat raw materials from mechanical recovery system according to Regulation (EC) No. 853/2004. It can also be used to study relationships between manufacturing parameters and destructuration or between destructuration of raw materials and processed products characteristics.