| Literature DB >> 28180110 |
Florence Colliez1, Bernard Gallez1, Bénédicte F Jordan1.
Abstract
Tumor hypoxia is recognized as a limiting factor for the efficacy of radiotherapy, because it enhances tumor radioresistance. It is strongly suggested that assessing tumor oxygenation could help to predict the outcome of cancer patients undergoing radiation therapy. Strategies have also been developed to alleviate tumor hypoxia in order to radiosensitize tumors. In addition, oxygen mapping is critically needed for intensity modulated radiation therapy (IMRT), in which the most hypoxic regions require higher radiation doses and the most oxygenated regions require lower radiation doses. However, the assessment of tumor oxygenation is not yet included in day-to-day clinical practice. This is due to the lack of a method for the quantitative and non-invasive mapping of tumor oxygenation. To fully integrate tumor hypoxia parameters into effective improvements of the individually tailored radiation therapy protocols in cancer patients, methods allowing non-invasively repeated, safe, and robust mapping of changes in tissue oxygenation are required. In this review, non-invasive methods dedicated to assessing tumor oxygenation with the ultimate goal of predicting outcome in radiation oncology are presented, including positron emission tomography used with nitroimidazole tracers, magnetic resonance methods using endogenous contrasts (R1 and [Formula: see text]-based methods), and electron paramagnetic resonance oximetry; the goal is to highlight results of studies establishing correlations between tumor hypoxic status and patients' outcome in the preclinical and clinical settings.Entities:
Keywords: hypoxia imaging; oximetry; radiotherapy outcome; tumor hypoxia; tumor oxygenation
Year: 2017 PMID: 28180110 PMCID: PMC5263142 DOI: 10.3389/fonc.2017.00010
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Oxymetric studies linking hypoxia and radiation therapy outcome.
| Oxymetric technique | Animal studies | Reference | Clinical studies | Reference | Cross-validation with | Reference |
|---|---|---|---|---|---|---|
| Eppendorf electrodes | C3H mammary tumors: significant difference in local tumor control between the fraction of hypoxic values (<2.5 mmHg) and less hypoxic tumors | ( | Prostate cancer study ( | ( | n.a. | |
| Head and neck cancer study ( | ( | |||||
| PET 18F-MISO | FaDu hSCC xenografts: prognostic value of pretreatment 18F-MISO hypoxic volume; SUVmax was not associated with local control | ( | 5 head and neck studies ( | ( | Mixed results | ( |
|
4 studies reported correlation between 18F-MISO hypoxia and outcome 1 study reported a lack of correlation | Lack of correlation with Eppendorf measurements in head and neck tumors | |||||
| PET 18F-FAZA | Rhabdomyosarcoma: lower uptake linked to better local tumor control at 90 days post-irradiation | ( | Head and neck cancer study: DAHANCA trial ( | ( | Positive results | ( |
| Validated with EPR oximetry in the preclinical setting (rat rhabdomyosarcomas) | ||||||
| 9L glioma and rhabdomyosarcoma: significant correlation between 18F-FAZA T/B and tumor growth delay | ( | |||||
| PET 18F-FETNIM | 1 head and neck cancer study ( | ( | NO (but compared with other nitroimidazoles) | ( | ||
| 2 lung cancer studies ( | Comparison with F-MISO: positive response under hyperoxic breathing challenge in C3H murine tumors Comparison with FAZA: positive correlation in murine mammary tumors | |||||
| 1 cervical cancer study ( | ||||||
| 1 esophageal cancer study ( | ||||||
| High fractional hypoxic volumes, uptake, or baseline SUVmax correlated with PFS, OS, or clinical response | ||||||
| PET 60CU-ATSM | Canine sinonasal tumors: lack of correlation between Cu-ATSM uptake and outcome | ( | 3 cervical cancer studies ( | ( | Mixed results | ( |
| 2 head and neck cancer studies ( | Comparison with F-MISO, EF5, or pimonidazole: no link with hypoxia in different tumor models or in response to hyperoxic challenges Comparison with Eppendorf electrodes: correlation with hypoxia in FaDu tumors but not in HT29 tumors | |||||
| 3 lung cancer studies ( | Potential link with tumor redox status | |||||
| 1 rectal cancer study ( | ||||||
Tumor uptake is inversely related to PFS or disease specific free survival Hypoxic tumor volume and hypoxic burden (=HTV × SUVmean) related to PFS | ||||||
| Dynamic contrast-enhanced magnetic resonance imaging | Melanoma xenografts: low | ( | Cervical cancer study: | ( | Mixed results | ( |
Comparison with Eppendorf electrodes: correlation between max DCE signal enhancement and median pO2 in cervical cancer patients | ||||||
| Cervical cancer xenografts: basal | ( | Comparison with pimonidazole Correlation between “poor perfusion” parameters and hypoxia (pimonidazole staining) in head and neck cancer patients Lack of correlation in glioma mice xenografts and glioma patients | ( | |||
| Mouse fibrosarcoma: none of the tested DCE parameters ( | ( | |||||
| G3H prolactinomas (rats) | ( | Cervical cancer study: basal | 90 | Mixed results | ( | |
| RIF-1 fibrosarcomas (mice) | Lack of quantitative relationship between fluorescence quenching fiber optic probes pO2 values and Correlation between pimonidazole and high Inverse correlation between pimonidazole and | |||||
| Dunning R3327-AT1 rat prostate | ( | Mixed results | ||||
| A large increase in | No study addressing potential correlations between | |||||
| 9L glioma | ( | Mixed results | ( | |||
| Water and lipids | Comparison with EPR oximetry Positive correlation in mammary tumors Lack of correlation in rat rhabdomyosarcoma and 9L glioma | |||||
| Combined | Dunning rat prostate tumors | ( | ||||
| Useful factors to predict tumor response to hypofractionation | ||||||
| EPR oximetry | C6 and 9L glioma | ( | ||||
| pO2 assessed after a first course of RT was a prognostic indicator of differential response to RT between the two glioma models | ||||||
| TLT and FSaII syngeneic tumors | ( | |||||
| pO2 assessed during/after administration of treatments able to alleviate tumor oxygenation was predictive of the outcome of RT when administered during this window of reoxygenation | ||||||
Figure 1Schematic representation of magnetic resonance (MR) and non-MR methods used to assess tumor oxygenation. PET, positron emission tomography; EPR, electron paramagnetic resonance; MRI, magnetic resonance imaging; DCE-MRI, dynamic contrast-enhanced magnetic resonance imaging; BOLD-MRI, blood oxygen level-dependent imaging; MOBILE, mapping of oxygen by imaging lipids relaxation enhancement. Adapted from Price et al. (11).