Extracellular vesicles (EVs) are increasingly understood to participate directly in many essential aspects of host antitumor immune response. Tumor- and immune-cell-derived EVs function in local and systemic contexts with roles in immune processes including cancer antigen conveyance, immune cell priming and activation, as well as immune escape. Current practice of cancer immunotherapy has de facto focused on eliciting T-cell-mediated cytotoxic responses. Humoral immunity is also known to exert antitumor effects, and B cells have been demonstrated to have functions that extend beyond antibody production to include antigen presentation and activation and modulation of T cells and innate immune effectors. Evidence of B cell response against tumor-associated antigens (TAAs) is observed in early stages of tumorigenesis and in most solid tumor types. It is known that EVs convey diverse TAAs, express antigenic-peptide-loaded MHCs, and complex with circulating plasma antitumoral autoantibodies. In this review, we will consider the relationships between EVs, B cells, and other antigen-presenting cells, especially in relation to TAAs. Understanding the intersection of EVs and the cancer immunome will enable opportunities for developing tumor antigen targets, antitumor vaccines and harnessing the full potential of multiple immune system components for next-generation cancer immunotherapies.

Using a combination of mass-spectrometry and aptamer array-based proteomics, we characterized the protein features of circulating extracellular vesicles (EVs) in the context of lung (LUAD) and pancreatic ductal (PDAC) adenocarcinomas. We profiled EVs isolated from conditioned media of LUAD and PDAC cell lines to identify EV-associated protein cargoes released by these cancer cell types. Analysis of the resulting data identified LUAD and PDAC specific and pan-adenocarcinoma EV protein signatures. Bioinformatic analyses confirmed enrichment of proteins annotated to vesicle-associated processes and intracellular compartments, as well as representation of cancer hallmark functions and processes. Analysis of upstream regulator networks indicated significant enrichment of TP53, MYC, TGFB1 and KRAS-driven network effectors (p = 1.69 × 10⁻⁷⁷–2.93 × 10⁻⁴⁹) manifest in the adenocarcinoma sEV protein cargoes. We extended these findings by profiling the proteome of EVs isolated from lung (N = 15) and pancreatic ductal (N = 6) adenocarcinoma patient plasmas obtained at time of diagnosis, along with EVs derived from matched healthy controls (N = 21). Exploration of these proteomic data revealed abundant protein features in the plasma EVs with capacity to distinguish LUAD and PDAC cases from controls, including features yielding higher performance in the plasma EV isolates relative to unfractionated plasmas.

Extracellular vesicles (EVs) are nano-sized lipid-bound particles containing proteins, nucleic acids and metabolites released by cells. They have been identified in body fluids including blood, saliva, sputum and pleural effusions. In tumors, EVs derived from cancer and immune cells mediate intercellular communication and exchange, and can affect immunomodulatory functions. In the context of lung cancer, emerging evidence implicates EV involvement during various stages of tumor development and progression, including angiogenesis, epithelial to mesenchymal transformation, immune system suppression, metastasis and drug resistance. Additionally, tumor-derived EVs (TDEs) have potential as a liquid biopsy source and as a means of therapeutic targeting, and there is considerable interest in developing clinical applications for EVs in these contexts. In this review, we consider the biogenesis, components, biological functions and isolation methods of EVs, and the implications for their clinical utility for diagnostic and therapeutic applications in lung cancer.

OBJECTIVES: The diffusing capacity of the lung for carbon monoxide (DL_CO) is an indicator of lung damage. We sought to determine whether DL_CO is associated with the aggressiveness of lung adenocarcinoma using histopathological indexes, such as tumour differentiation, scar grade, nuclear atypia and the mitotic index. METHODS: Fifty-seven patients with low DL_CO (≤80% of predicted) and 466 patients with normal DL_CO (>80% of predicted) who underwent R0 resection of lung adenocarcinoma between 2005 and 2012 were retrospectively reviewed. The relationships between the DL_CO status and each histopathological index as well as the overall survival were evaluated. RESULTS: Low DL_CO had significant relationships with moderate/poor differentiation (79% vs 57% [low DL_CO vs normal DL_CO]), scar grade 3/4 (37% vs 18%), nuclear atypia 3 (65% vs 30%) and the mitotic index 3 (26% vs 8%). After adjusting for the age, sex, forced expiratory volume in 1 s, smoking status and tumour size, a low DL_CO still showed a significant correlation with the histopathological indexes. These histopathological indexes were all significant factors for the overall survival on log-rank tests. In a multivariable Cox regression analysis with 13 clinicopathological variables, moderate/poor differentiation and nuclear atypia Grade 3 were significant histopathological factors for the overall survival (hazard ratios: 2.16 and 1.84; 95% confidence intervals: 1.10–4.51 and 1.06-3.21; P = 0.024 and 0.029, respectively). CONCLUSIONS: Our findings regarding the relationship between DL_CO and the histopathological indexes of lung adenocarcinoma suggest that lung damage may be associated with carcinogenesis and progression.