| Literature DB >> 35674180 |
Shuyue Yang1, Jiaxin Wang1, Shidong Wang1, Anni Zhou1, Guiping Zhao1, Peng Li1.
Abstract
Hepatocellular carcinoma (HCC) is the most common malignancy of hepatocytes accounting for 75‑85% of primary hepatic carcinoma cases. Small extracellular vesicles (sEVs), previously known as exosomes with a diameter of 30‑200 nm, can transport a variety of biological molecules between cells, and have been proposed to function in physiological and pathological processes. Recent studies have indicated that the cargos of sEVs are implicated in intercellular crosstalk among HCC cells, paratumor cells and the tumor microenvironment. sEV‑encapsulated substances (including DNA, RNA, proteins and lipids) regulate signal transduction pathways in recipient cells and contribute to cancer initiation and progression in HCC. In addition, the differential expression of sEV cargos between patients facilitates the potential utility of sEVs in the diagnosis and prognosis of patients with HCC. Furthermore, the intrinsic properties of low immunogenicity and high stability render sEVs ideal vehicles for targeted drug delivery in the treatment of HCC. The present review article summarizes the carcinogenic and anti‑neoplastic capacities of sEVs and discusses the potential and prospective diagnostic and therapeutic applications of sEVs in HCC.Entities:
Keywords: biomarker; exosomal RNAs; hepatocellular carcinoma; small extracellular vesicles
Mesh:
Year: 2022 PMID: 35674180 PMCID: PMC9262158 DOI: 10.3892/ijo.2022.5381
Source DB: PubMed Journal: Int J Oncol ISSN: 1019-6439 Impact factor: 5.884
Figure 1The fundamental purpose of the present review was to introduce the biogenesis of sEVs, generalize the role of sEVs payloads in the initiation and development of HCC, and dialectically discuss the clinical applications of sEVs in the diagnosis and possible treatment applications of HCC. sEVs, small extracellular vesicles; HCC, hepatocellular carcinoma.
Figure 2Schematic diagram illustrating the process of formation, secretion and uptake of sEVs. Inward budding of the cellular plasma membrane forms the early-sorting endosomes. Subsequently, intraluminal budding of endosomes generates MVBs encapsulating intraluminal vesicles. sEVs are ultimately liberated by incorporating of MVBs to plasma membrane and the exocytosis of intraluminal vesicles. The mechanism of sEV uptake includes donor-acceptor interaction, membrane fusion, phagocytosis, and clathrin-independent and -dependent endocytosis. sEVs, small extracellular vesicles; MVBs, multivesicular bodies; ECM, extracellular matrix.
Figure 3Biological function of sEV cargos in development of HCC. sEVs cargos are involved in numerous hallmarks of HCC, including proliferation, angiogenesis, epithelial-mesenchymal transition, metastasis, immune escape, drug resistance as well as remolding of the tumor microenvironment. The figure was created using Biorender (https://biorender.com/). sEVs, small extracellular vesicles; HCC, hepatocellular carcinoma.
Roles of sEVs in the initiation and development of hepatocellular carcinoma.
| Type | Molecule | Function | Signaling/target | Year of publication | (Refs.) |
|---|---|---|---|---|---|
| miRNA | miR-21↑ | Promotes proliferation, migration, angiogenesis and invasion; inhibits apoptosis | PTEN/E-cadherin | 2019, 2018 | ( |
| miR-10b↑ | Promotes proliferation, migration and invasion | PTEN/E-cadherin | 2019 | ( | |
| miR-23a/b↑ | Promotes proliferation, migration and chemoresistance to 5-Fu | VHL-HIF-1α | 2019 | ( | |
| miR-15a↓ | Inhibits proliferation, migration and invasion | SALL4 | 2021 | ( | |
| miR-25↑ | Promotes proliferation and migration | Wnt/β-catenin | 2021 | ( | |
| miR-155↑ | Promotes proliferation | PTEN | 2019 | ( | |
| miR-451a↑ | Inhibits resistance to paclitaxel, proliferation, migration and invasion | ADAM10 | 2021 | ( | |
| miR-3682-3p↑ | Inhibits angiogenesis | RAS-MEK1/2-ERK1/2 | 2021 | ( | |
| miR-374a-5p↑ | Promotes EMT, migration and invasion | GADD45A | 2020 | ( | |
| miR-210↑ | Promotes angiogenesis | SMAD4 and STAT6 | 2018 | ( | |
| miR-92a-3p↑ | Promotes EMT and migration | PTEN/Akt/Snail | 2020 | ( | |
| miR-92a-2-5p↑ | Promotes invasion | AR/PHLPP/p-AKT/β-catenin | 2020 | ( | |
| miR-146a-5p↑ | Remodels the TME | STAT3/SALL4 | 2019 | ( | |
| miR-30a-3p↑ | Inhibit migration and invasion | SNAP23 | 2021 | ( | |
| miR-1247-3p↑ | Promotes migration | β1-integrin-NF-κB | 2018 | ( | |
| miR-25-5p↑ | Promotes migration and invasion | LRRC7 | 2018 | ( | |
| miR-4454↑ | Promotes proliferation, migration, invasion, and angiogenesis, and inhibits cycle arrest, apoptosis | Vps4A, Rab27A | 2021 | ( | |
| miR-338-3p↑ | Inhibits proliferation, invasion and migration, and induce apoptosis, | ETS1 | 2021 | ( | |
| miR-744↓ | Promotes proliferation and inhibits chemosensitivity to sorafenib | PAX2 | 2019 | ( | |
| lncRNA | lncRNA H19↑ | Promotes angiogenesis and adhesion of endothelial cell | VEGF, ICAM1 | 2015 | ( |
| FAM138B↑ | Inhibits proliferation, migration and invasion | miRNA-765 | 2020 | ( | |
| SNHG16↑ | Promotes angiogenesis | PI3K/Akt/mTOR | 2021 | ( | |
| lncRNA 85↑ | Promotes proliferation and migration and polarization | miRNA-324-5p | 2020 | ( | |
| TUC339↑ | Regulation of macrophage activation | IL-1β and TNF-α | 2018 | ( | |
| circRNA | hsa_circ_0074854↑ | Promotes migration and invasion | HuR | 2021 | ( |
| circFBLIM1↑ | Promote progression and glycolysis | miRNA-338/LRP | 2020 | ( | |
| circRNA-100338↑ | Promotes angiogenesis and invasion | mTOR | 2020 | ( | |
| Protein | 14-3-3ζ↑ | Impairs the function, proliferation and activation of TILs | AXL or TGF-β/ERK | 2018 | ( |
| NSMase1↑ | Inhibits proliferation and induce apoptosis | JNK | 2018 | ( | |
| ENO1↑ | Promotes proliferation and metastasis | FAK/Src-p38MAPK | 2020 | ( | |
| LOXL4↑ | Promotes migration and angiogenesis | FAK/Src | 2019 | ( | |
| α(M) β( | Promotes metastasis | MMP9 | 2021 | ( | |
| HMGB1 | Promotes immune evasion | TLR 2/4, MAPK | 2018 | ( | |
| VEGF↑ | Induces acquired resistance to AATs | - | 2019 | ( |
Upward arrows (↑) indicate upregulation and downward arrows (↓) indicate downregulation. EMT, epithelial-mesenchymal transition; TME, tumor microenvironment; TILs, tumor-infiltrating T-lymphocytes; AATs, anti-angiogenic therapies; PTEN, phosphatase and tensin homolog; VHL-HIF-1α, von Hippel-Lindau/hypoxia-inducible factor; SALL4, spalt-like transcription factor 4; ADAM10, a disintegrin and metalloprotease 10; MEK1/2, mitogen-activated proteinkinase kinase 1/2; ERK1/2, extracellular regulated protein kinases 1/2; GADD45A, growth arrest and DNA damage 45-alpha; SMAD4, mothers against decapentaplegic homolog 4; STAT, signal transducer and activator of transcription; AR, androgen receptor; PHLPP, PH domain leucine-rich repeat protein phosphatase; SALL4, transcription factor Sal-like protein-4; SNAP23, synaptosome-associated protein 23; LRRC7, leucine-rich repeat-containing 7; Vps4A, vacuolar protein sorting 4 homolog A; ETS1, E26 transformation specific-1; PAX2, paired box gene 2; VEGF, vascular endothelial growth factor; ICAM1, intercellular adhesion molecule 1; FAM138B, family with sequence similarity 138 member B; SNHG16, small nucleolar RNA host gene 16; PI3K, phosphatidylin-ositol-3-kinase; mTOR, mechanistic target of rapamycin; IL-1β, interleukin-1β; TNF-α, tumor necrosis factor-α; HuR, human antigen; circFBLIM1, circRNA filamin binding LIM protein 1; LRP6, lipoprotein receptor-related protein 6; AXL, activity of the receptor tyrosine kinase; NSMase1, neutral sphingomyelinase 1; TGF-β, transforming growth factor-β; JNK, c-Jun N-terminal kinase; ENO1, alpha-enolase; FAK, focal adhesion kinase; LOXL4, lysyl oxidase-like 4; MAPK, mitogen-activated protein kinase; MMP9, matrix metallopeptidase 9; HMGB1, high mobility group box 1; TLR, Toll like receptor.
sEVs carrying cargos as biomarkers for HCC.
| Type of sEVs contents | Molecules | Origin | Potential functions | Year of publication | (Refs.) | |
|---|---|---|---|---|---|---|
| miRNA | miR-21 | Serum | Differentiates HCC patients from healthy control, and predict survival | 2019 | ( | |
| miR-10b | Serum | Differentiates E-HCC patients from healthy control, and predict DFS | 2019 | ( | ||
| miR-638 | Serum | Is negatively associated with survival and predicts recurrence | 2018, 2021 | ( | ||
| miR-122 | Serum | The ratio of miR-122 predicts DSS for HCC patients with liver cirrhosis treated with TACE, and miR-122 differentiate HCC patients from healthy controls | 2018 | ( | ||
| miR-212 | Serum | Differentiates HBV-infection HCC patients from non-HBV-infection HCC | 2019 | ( | ||
| patients, and predict survival | ||||||
| miR-455-5p, miR-30c-5p | Plasma | Predicts survival | 2020 | ( | ||
| miR-150-3p | Plasma | Is negatively associated with survival | 2021 | ( | ||
| miR-1307-5p | Serum/Plasma | Predicts metastasis | 2020 | ( | ||
| miR-92b | Serum | Predicts recurrence for HCC patients after LDLT | 2019 | ( | ||
| miR-125b | Serum | Predicts early metastasis, survival and recurrence | 2017, 2021 | ( | ||
| miR-146a | Plasma | Differentiate HCC patients from cirrhosis patients | 2021 | ( | ||
| miR-192 | Plasma | Predicts survival | 2021 | ( | ||
| miR-320d | Serum | Differentiates HCC patients from healthy controls, and predicts TNM stage, lymph node metastasis, and survival and survival | 2020 | ( | ||
| miR-4661-5p | Serum | Differentiates HCC patients at early stage and predict prognosis | 2020 | ( | ||
| miR-93 | Serum | Differentiates HCC patients from healthy controls, predict TNM stage, and survival | 2018 | ( | ||
| miR-665 | Serum | Differentiates HCC patients from healthy controls, predicts TNM stage, local metastasis, and survival | 2017 | ( | ||
| miR-718 | Serum | Predicts recurrence for HCC patients after liver transplantation | 2015 | ( | ||
| miR-224 | Serum | Differentiates HCC from healthy controls, and predict survival | 2019 | ( | ||
| lncRNA | lncRNA ATB | Serum | Predicts TNM stage and survival | 2019 | ( | |
| DANCR | Serum | Predicts recurrence for HCC patients with HCV after curative HCC resection | 2021 | ( | ||
| ASMTL-AS1 | Serum | Predicts recurrence and metastasis for HCC patients after insufficient RFA | 2020 | ( | ||
| LINC00161 | Serum | Differentiates HCC patients from healthy controls | 2018 | ( | ||
| LINC00853 | Serum | Differentiates E-HCC from non-HCC | 2020 | ( | ||
| lncRNA-HEIH | Serum | Differentiates HCC from HCV patients | 2018 | ( | ||
| CRNDE | Serum | Predicts TNM stage, OS and DFS | 2021 | ( | ||
| circRNA | circRNA 0006602 | Plasma | Differentiates HCC from non-HCC | 2021 | ( | |
| hsa_circ_0070396 | Plasma | Differentiates HCC patients from healthy controls | 2021 | ( | ||
| circAKT3 | Serum | Predict recurrence and OS | 2020 | ( | ||
| hsa-circRNA-G004213 | Plasma | Predict efficacy of TACE | 2021 | ( | ||
| mRNA | hnRNPH1 | Serum | Differentiates HCC patients from healthy controls and CHB patients, and predicts lymph node metastasis, TNM stage and OS | 2018 | ( | |
| LDHC | Serum | Differentiates E-HCC patients from healthy controls, and predicts efficacy, recurrence | 2020 | ( | ||
| Protein | ENO1 | Serum | Predicts TNM stage, and metastasis | 2020 | ( | |
| Lipid | Sphingosines, | Plasma | Differentiates E-HCC patients from non-HCC | 2021 | ( | |
| dilysocardiolipins, lysophosphatidylserines, and (O-acyl)-1-hydroxy fatty acids | ||||||
| Panel | miR-10b, miR-21, miR-122 and miR-200a | Serum | Differentiates E-HCC patients from healthy controls and cirrhosis patients | 2015 | ( | |
| miR-21-5p, and | Plasma | Together with serum AFP establishing Exosomal miR HCC score, and | 2020 | ( | ||
| miR-92a-3p | differentiates HCC patients from healthy controls and cirrhosis patients | |||||
| miR-18a, miR-20b, and miR-221 | Plasma | Predicts metastasis | 2021 | ( | ||
| miR-122, miR-21, miR-96 | Serum | Differentiates HCC patients from cirrhosis patients | 2020 | ( | ||
| miR-10b-5p, miR-221-3p, miR-223-3p, and miR-21-5p | Plasma | Differentiates HCC patients from non-HCC | 2020 | ( | ||
| miR-122, and miR-148a | Serum | Together with serum AFP, differentiates E-HCC patients from cirrhosis patients | 2018 | ( | ||
| miR-4661-5p, and miR-4746-5p | Serum | Differentiate E-HCC patients from non-HCC | 2020 | ( | ||
| miR-4718, miR-642a-5p, miR-6826-3p, and miR-762 | Serum | Differentiates HCC patients from HCV patients, and predicts recurrence for SVR-HCC with DAA | 2019 | ( | ||
| hsa_circ_0004001, hsa_circ_0004123, hsa_circ_0075792 | Serum | Differentiates HCC patients from healthy controls | 2020 | ( | ||
| MALAT1 and SNHG1, DLEU2 and AFP | Serum | Differentiates E-HCC patients from non-HCC | 2021 | ( | ||
| ENSG00000258332.1 LINC00635 | Serum | Predicts TNM stage, lymph node metastasis, and OS. Together with AFP, differentiates HCC patients from non-HCC | 2018 | ( | ||
| Cofilin-1 and CCT8 | Serum | Predict vascular invasion, TNM stage, survival. Together with AFP,differentiates HCC patients from non-HCC | 2021 | ( | ||
HCC, hepatocellular carcinoma; E-HCC, early-stage hepatocellular carcinoma; HCV, hepatitis C viruses; CHB, chronic hepatitis B; TACE, transarterial chemoembolization; LDLT, living donor liver transplantation; DAA, direct-acting antiviral therapy; SVR, sustained viral response; DFS, disease-free survival; DSS, disease-specific survival; OS, overall survival; AFP, alpha-fetoprotein; TNM, tumor, node, metastasis.