| Literature DB >> 34830787 |
Michela Saviana1,2, Giulia Romano1, Patricia Le1, Mario Acunzo1, Patrick Nana-Sinkam1.
Abstract
Extracellular vesicles (EVs) are heterogenous membrane-encapsulated vesicles secreted by every cell into the extracellular environment. EVs carry bioactive molecules, including proteins, lipids, DNA, and different RNA forms, which can be internalized by recipient cells, thus altering their biological characteristics. Given that EVs are commonly found in most body fluids, they have been widely described as mediators of communication in several physiological and pathological processes, including cancer. Moreover, their easy detection in biofluids makes them potentially useful candidates as tumor biomarkers. In this manuscript, we review the current knowledge regarding EVs and non-coding RNAs and their role as drivers of the metastatic process in lung cancer. Furthermore, we present the most recent applications for EVs and non-coding RNAs as cancer therapeutics and their relevance as clinical biomarkers.Entities:
Keywords: extracellular vesicles; lung cancer; metastasis; non-coding RNA; therapy
Year: 2021 PMID: 34830787 PMCID: PMC8616161 DOI: 10.3390/cancers13225633
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Main types and characteristics of extracellular vesicles.
| Variable | Exosomes | Microvesicles | Apoptotic Bodies |
|---|---|---|---|
| Size (nm) | 50–150 | 100–2000 | 1000–4000 |
| Biogenesis | Endosomal pathway | Budding of plasma membrane | Programmed cell death and blebbing of plasma membrane |
| Proteins | Tetraspanins, ALIX, TSG101, ESCRT, heat shock proteins | Integrins, selectins, cytoskeletal and cytosolic proteins, glycosylated and phosphorylated proteins | Histones, annexin V |
| Lipids | Cholesterol, sphingomyelin, ceramide, lipid rafts, phosphatidylserine | Phosphatidylserine, cholesterol, diacylglycerol, lipid rafts | Phosphatidylserine |
| Nucleic acids | mRNA, non-coding RNA | mRNA, non-coding RNA | DNA, RNA |
| Markers | CD63, TSG101, Alix, tetraspanins, Rab5a/b, HSP70, HSP9 | Integrin, selectin, flittilin-2 | Histones, DNA, Annexin V |
Figure 1Principle phases of the metastatic process. The first step of a metastatic event involves a phenotypical transformation, specifically epithelial-to-mesenchymal transition of tumor cells (EMT); this allows for tumor invasion into surrounding connective tissue. The hypoxic conditions of the tumor microenvironment will induce tumor cells to secrete angiogenetic factors, which promote the formation of new vessels for reaching nutrients (angiogenesis), and intravasation or entry into circulation. The circulating tumor cells will travel through the turbulent circulatory system until they arrive at distant organs; here, the cells interact with pre-formed pre-metastatic niches to form new cancerous growths. Eventually, these tumors can disseminate and form further distant metastases.
Figure 2Role of extracellular vesicles (EVs) and their contents in promoting lung cancer metastasis. EVs derived from tumor cells, and other cells of the tumor microenvironment (TME), are involved in every step of the metastatic process of lung cancers. Proteins and RNAs contained in EVs can induce the first steps of metastasis, which are EMT and angiogenesis. Moreover, EVs are implicated in regulating inflammatory responses in the TME, in circulation, and at distant metastatic sites by activating T regulatory cells (Treg), altering properties of dendritic cells (DC), inhibiting the activities of T cells and natural killer cells (NK), and inducing the polarization of macrophages (MC) from type 1 to type 2. At distant sites, EVs are involved in vascular permeability and organotropism by modifying the environment of pre-metastatic niches. Notable EV content that has been shown to contribute to lung cancer metastasis is highlighted for each process.
Principal dysregulated non-coding RNAs and their clinical applications in lung cancer.
| Function | Non-Coding RNA | Clinical Applications | Reference |
|---|---|---|---|
| EMT | miRNA-200 family | Predictive, diagnostic | [ |
| miRNA-183~96~182 cluster | Diagnostic | [ | |
| miRNA-499a-5p | [ | ||
| miRNA-1260b | Biomarker | [ | |
| miRNA-96 | Biomarker | [ | |
| lncMMP2-2 | Prognostic | [ | |
| MALAT1 | Prognostic | [ | |
| Angiogenesis | miRNA 143-3p | Biomarker | [ |
| miRNA 145-5p | Biomarker | [ | |
| miRNA 142-3p | [ | ||
| GAS5 | Biomarker | [ | |
| miRNA-23a | Biomarker of disease | [ | |
| Immune escape | miRNA-214 | Biomarker | [ |
| miRNA-21 | Predictive, diagnostic, prognostic | [ | |
| miR-29a | [ | ||
| miRNA-92a | Biomarker | [ | |
| Biomarker | miRNA-10b-5p | Prognostic, survival | [ |
| miRNA-23b-3p | Prognostic, diagnostic, survival | [ | |
| miRNA-139-5p | Screening | [ | |
| miRNA-378a | Screening | [ | |
| miRNA-379 | Screening | [ | |
| miRNA-4257 | Predictive | [ | |
| miRNA-122 | Predictive, therapeutic | [ | |
| miRNA-205 | Predictive, diagnostic | [ | |
| miRNA-126 | Diagnostic | [ | |
| miRNA-16 | Prognostic | [ | |
| Let-7 | Prognostic | [ | |
| HAGLR | Prognostic | [ | |
| miRNA-1-3p | Diagnostic | [ | |
| miRNA-144-5p | Diagnostic | [ | |
| miRNA-150-5p | Diagnostic | [ | |
| Drug resistance | lncRNA RP11-838N2.4 | Erlotinib resistance | [ |
| lncRNA H19 | Gefitinib resistance | [ |