Soluble biomarkers to predict clinical outcomes in non-small cell lung cancer treated by immune checkpoints inhibitors.

Lung cancer remains the first cause of cancer-related death despite many therapeutic innovations, including immune checkpoint inhibitors (ICI). ICI are now well used in daily practice at late metastatic stages and locally advanced stages after a chemo-radiation. ICI are also emerging in the peri-operative context. However, all patients do not benefit from ICI and even suffer from additional immune side effects. A current challenge remains to identify patients eligible for ICI and benefiting from these drugs. Currently, the prediction of ICI response is only supported by Programmed death-ligand 1 (PD-L1) tumor expression with perfectible results and limitations inherent to tumor-biopsy specimen analysis. Here, we reviewed alternative markers based on liquid biopsy and focused on the most promising biomarkers to modify clinical practice, including non-tumoral blood cell count such as absolute neutrophil counts, platelet to lymphocyte ratio, neutrophil to lymphocyte ratio, and derived neutrophil to lymphocyte ratio. We also discussed soluble-derived immune checkpoint-related products such as sPD-L1, circulating tumor cells (detection, count, and marker expression), and circulating tumor DNA-related products. Finally, we explored perspectives for liquid biopsies in the immune landscape and discussed how they could be implemented into lung cancer management with a potential biological-driven decision.

Cell migration and proliferation are not discriminatory factors in the in vitro sociologic behavior of bronchial epithelial cell lines.

A model of cellular cohesion has been developed, which permits the in vitro study of the spatial and temporal distribution of two human bronchial cell lines. The spatial distribution of cells in culture was characterized from videomicroscopic recordings and analyzed using an algorithmic program of cellular sociology based on the use of three geometrical models: Voronoï's partition, Delaunay's graph, the and minimum spanning tree (MST). The results obtained suggested that the manner of cellular cohesiveness could be used to differentiate between the organizational behaviors of the cell lines: non-invasive 16HBE14o- cells rapidly formed clusters with a cohesive organization, whereas invasive BZR cells remained isolated and were characterized by a non-cohesive organization. Videomicroscopic and image analysis techniques also demonstrated that cell migration and proliferation are not discriminatory factors for explaining differences in the spatial organizations of the two cell lines. We concluded that the random nature of cell movement combined with the cell adhesion capacity are determinant factors in cell cluster formation.