| Literature DB >> 35646668 |
Layla Simón1,2,3, Sofía Sanhueza1,2, Belén Gaete-Ramírez4, Manuel Varas-Godoy2,4,5, Andrew F G Quest1,2.
Abstract
Advances in our understanding of cancer biology have contributed to generating different treatments to improve the survival of cancer patients. However, although initially most of the therapies are effective, relapse and recurrence occur in a large percentage of these cases after the treatment, and patients then die subsequently due to the development of therapy resistance in residual cancer cells. A large spectrum of molecular and cellular mechanisms have been identified as important contributors to therapy resistance, and more recently the inflammatory tumor microenvironment (TME) has been ascribed an important function as a source of signals generated by the TME that modulate cellular processes in the tumor cells, such as to favor the acquisition of therapy resistance. Currently, extracellular vesicles (EVs) are considered one of the main means of communication between cells of the TME and have emerged as crucial modulators of cancer drug resistance. Important in this context is, also, the inflammatory TME that can be caused by several conditions, including hypoxia and following chemotherapy, among others. These inflammatory conditions modulate the release and composition of EVs within the TME, which in turn alters the responses of the tumor cells to cancer therapies. The TME has been ascribed an important function as a source of signals that modulate cellular processes in the tumor cells, such as to favor the acquisition of therapy resistance. Although generally the main cellular components considered to participate in generating a pro-inflammatory TME are from the immune system (for instance, macrophages), more recently other types of cells of the TME have also been shown to participate in this process, including adipocytes, cancer-associated fibroblasts, endothelial cells, cancer stem cells, as well as the tumor cells. In this review, we focus on summarizing available information relating to the impact of a pro-inflammatory tumor microenvironment on the release of EVs derived from both cancer cells and cells of the TME, and how these EVs contribute to resistance to cancer therapies.Entities:
Keywords: exosomes; extracellular vesicles; inflammation; therapy resistance; tumor microenvironment
Year: 2022 PMID: 35646668 PMCID: PMC9130576 DOI: 10.3389/fonc.2022.897205
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Figure 1Role of Extracellular Vesicles in Cancer Therapy Resistance. The tumor microenvironment (TME) is involved in the initiation and maintenance of resistance to therapies by multiple molecular mechanisms. Specifically, extracellular vesicles derived from TME cells (e.g., cancer-associated fibroblasts, endothelial cells, cancer stem cells, immune cells, and adipocytes) transfer a variety of bioactive molecules, including mRNA, miR, lncRNA and proteins, which all play important roles in the communication between stromal components and tumor cells, activating in the latter signaling pathways that lead to cancer therapy resistance. In addition, resistance to therapy can be triggered by an inflammatory TME caused by conditions, such as hypoxia, or following chemotherapy, which modulate the content and release of EVs and alter the responses of tumor cells to cancer therapies. EVs also participate in resistance to antibody-based cancer therapy where cancer-derived extracellular vesicles package elevated amounts of validated targets for cancer treatment (e.g., VEGF, EGFR, and HER2), which are recognized by therapeutic antibodies and compromise the response of cancer cells to these therapies. TP53INP1: tumor protein p53 inducible nuclear protein 1; CDKN1B: cyclin-dependent kinase inhibitor 1B; ING5: inhibitor of growth family 5; FAK: focal adhesion kinase; YAP: yes-associated protein 1; PUM2: pumilio homolog 2 protein; AUF1: AU-binding factor 1; HER2: human epidermal growth factor receptor 2; CDX2: caudal‐related homeobox 2; HEPH: hephaestin; TGF-β: transforming growth factor β; GREM2: gremlin 2; APAF-1: apoptotic peptidase activator factor 1; RHOB: ras homolog family member B; TCEAL7: transcription elongation factor A-like 7; mTOR: mammalian target of rapamycin; PI3K: phosphoinositide-3-kinase; STAT3: signal transducer and activator of transcription 3; c/EBP-β: CCAAT enhancer binding protein-β; FOXO3a: forkhead box O3a; EMT: epithelial-mesenchymal transition; AFAP1-AS1: actin filament associated protein 1 antisense RNA 1; EZH2: enhancer of zeste homolog 2; METTL7A: methyltransferase like 7A; LncRNA: long noncoding RNA; SNHG1: small nucleolar RNA host gene 1; NTP: triphosphate-nucleotide; CDA: cytidine-deaminase; TERF: telomeric repeat-binding factor 1; GSK3β: glycogen synthase kinase 3 β; ROS: reactive oxygen species; FAS: fatty acid synthase; HSP70: heat shock 70 kDa protein; ONECUT2: factor One Cut Homeobox 2; ABCB1: ATP-binding cassette sub-family B member 1; CAT: catalase; SOD2: superoxide dismutase 2; DCK: deoxycytidine kinase; EGFR: epidermal growth factor receptor; VEGF: vascular endothelial growth factor; ALDH3A1: aldehyde dehydrogenase 3 family member A1; ALDOA: aldolase A; CHI3L1: chitinase 3-like-1. The figure was created with BioRender.com.