| Literature DB >> 34213838 |
Min Hee Kim1, Steven D Green2, Chien-Chi Lin1,3, Heiko Konig2,3.
Abstract
Major advances in the field of genomic technologies have led to an improvement in cancer diagnosis, classification and prognostication. However, many cancers remain incurable due to the development of drug resistance, minimal residual disease (MRD) and disease relapse, highlighting an incomplete understanding of the mechanisms underlying these processes. In recent years, the impact of non-genetic factors on neoplastic transformations has increasingly been acknowledged, and growing evidence suggests that low oxygen (O2 ) levels (ie hypoxia) in the tumour microenvironment play a critical role in the development and treatment of cancer. As a result, there is a growing need to develop research tools capable of reproducing physiologically relevant O2 conditions encountered by cancer cells in their natural environments in order to gain in-depth insight into tumour cell metabolism and function. In this review, the authors highlight the importance of hypoxia in the pathogenesis of malignant diseases and provide an overview of novel engineering tools that have the potential to further drive this evolving, yet technically challenging, field of cancer research.Entities:
Mesh:
Year: 2021 PMID: 34213838 PMCID: PMC8358887 DOI: 10.1111/jcmm.16759
Source DB: PubMed Journal: J Cell Mol Med ISSN: 1582-1838 Impact factor: 5.310
FIGURE 1Tissue oxygenation and HIF regulation. (A) O2 concentrations as measured in selected mammalian tissues. (B) Regulation of HIF stability by O2
Chemical reactions of hypoxia‐mimicking agents
| Hypoxia‐mimicking agent | Chemical reaction | References |
|---|---|---|
| Sodium sulphite (Na2SO3) | 2 Na2SO3 + O2 → 2 Na2SO4 |
|
| Cobalt chloride (CoCl2) | 2 CoCl2 + O2 → 2 CoO + 2 Cl2 | |
| Desferrioxamine | C25H48N6O8 + Fe3+ → Chelating compound | |
| Zinc chloride (ZnCl2) | 2 ZnCl2 + O2 → 2 ZnO + 2 Cl2 |
|
FIGURE 2Microfluidic‐based engineering tools for controlling O2 content. (A) Image of a gradient‐generating microfluidic device. (B) Schematic of step O2 concentrations formed in each outlet of the gradient‐generating microfluidic device. O2 diffusion in the chamber is controlled by diffusion through 3‐sided glass coating. (C) Schematic of the microfluidic device capable of performing collective cell migration assays with O2 gradients. (D) Photographs of the fabricated microfluidic devices. O2 scavenging chemical reaction between pyrogallol and NaOH was performed in the reaction channel in order to generate O2 gradient. (E) Schematic illustration of O2 consumption and gradient‐generating mechanism in a microfluidic chamber. Reprint with permission
FIGURE 3O2‐consuming enzymes for controlling O2 content. (A) The principle of the glucose oxidase/catalase (GOX/CAT) system for independent control of hypoxia and H2O2 level. (B) Reaction scheme of GOX immobilized PEGDA hydrogel. (C) Conceptual illustration and digital images of the 3D‐printed insert with immobilized biomaterial for on demand generation of various O2 tensions for in vitro cell cultures. The biomaterial consisting of glucose oxidase and catalase enzymes consumes O2 in the cell culture media without interfering with the testing environment. Reprint with permission
FIGURE 4Laccase‐based hypoxia‐inducible hydrogels for controlling O2 content in 3D. (A) Schematic representation of HI hydrogel formation. HI hydrogels are formed via laccase‐mediated dimerization of FA molecules with O2 consumption. (B) Hydrogel height controls O2 gradients. (C) Model predictions of O2 levels and gradients after 30 min of hydrogel formation in the layer model (airgel and air–media‐gel). Reprint with permission