Size variants of beta-2-microglobulin-free human leucocyte antigen class I heavy chain make different contributions to its serum increase in multiple myeloma

MHC class I antigen processing and presenting machinery: organization, function, and defects in tumor cells

The surface presentation of peptides by major histocompatibility complex (MHC) class I molecules is critical to all CD8(+) T-cell adaptive immune responses, including those against tumors. The generation of peptides and their loading on MHC class I molecules is a multistep process involving multiple molecular species that constitute the so-called antigen processing and presenting machinery (APM). The majority of class I peptides begin as proteasome degradation products of cytosolic proteins. Once transported into the endoplasmic reticulum by TAP (transporter associated with antigen processing), peptides are not bound randomly by class I molecules but are chosen by length and sequence, with peptidases editing the raw peptide pool. Aberrations in APM genes and proteins have frequently been observed in human tumors and found to correlate with relevant clinical variables, including tumor grade, tumor stage, disease recurrence, and survival. These findings support the idea that APM defects are immune escape mechanisms that disrupt the tumor cells' ability to be recognized and killed by tumor antigen-specific cytotoxic CD8(+) T cells. Detailed knowledge of APM is crucial for the optimization of T cell-based immunotherapy protocols.

Prognostic relevance of soluble human leukocyte antigen-G and total human leukocyte antigen class I molecules in lung cancer patients

The aim of this study was to determine the prognostic significance of soluble human leukocyte antigen (HLA) class I (sHLA-I) and HLA-G molecules in lung cancer patients. A total of 23 small-cell lung cancer (SCLC) and 114 non-small-cell lung cancer (NSCLC) patients, including 55 adenocarcinoma, 46 squamous cell carcinoma (SCC), and 13 patients with undifferentiated carcinoma, were prospectively enrolled. Levels of sHLA-G and sHLA-I were analyzed by specific enzyme-linked immunosorbent assay. Median levels of sHLA-G and sHLA-I were significantly increased in patients compared with controls (34 ng/ml [3.6-160] vs 14 ng/ml [0-98], p < 0.0001; 2580 ng/ml [749-5770] vs 1370 ng/ml [274-2670], p < 0.0001, respectively). Regarding the different subgroups, patients with NSCLC or SCLC showed increased sHLA-I levels, whereas sHLA-G was exclusively elevated in NSCLC, especially in patients with SCC. Patients with sHLA-I<2800 ng/ml (p = 0.008) or sHLA-G<40 ng/ml (p = 0.073) showed prolonged overall survival (OS). Using these cut-offs in patients with SCC, a pronounced prognostic significance for sHLA-G (p = 0.003) and sHLA-I (p = 0.004) was observed for the prediction of OS. Here, multivariate analysis confirmed sHLA-G and sHLA-I in addition to disease stage as independent prognostic factors. The prognostic power was further enhanced by combining the two factors and comparing the OS of patients with low sHLA-I and low sHLA-G against the remaining ones. In conclusion, plasma levels of sHLA-G and sHLA-I are potent predictors for OS in lung cancer patients.

The crosstalk of hyaluronan-based extracellular matrix and synapses

Many neurons and their synapses are enwrapped in a brain-specific form of the extracellular matrix (ECM), the so-called perineuronal net (PNN). It forms late in the postnatal development around the time when synaptic contacts are stabilized. It is made of glycoproteins and proteoglycans of glial as well as neuronal origin. The major organizing polysaccharide of brain extracellular space is the polymeric carbohydrate hyaluronic acid (HA). It forms the backbone of a meshwork consisting of CNS proteoglycans such as the lectican family of chondroitin sulphate proteoglycans (CSPG). This family comprises four abundant components of brain ECM: aggrecan and versican as broadly expressed CSPGs and neurocan and brevican as nervous-system-specific family members. In this review, we intend to focus on the specific role of the HA-based ECM in synapse development and function.