A Novel Translational Ovine Pulmonary Adenocarcinoma Model for Human Lung Cancer
- Submitting institution
-
University of Edinburgh
(joint submission with Heriot-Watt University)
- Unit of assessment
- 12 - Engineering
- Output identifier
- 112099789
- Type
- D - Journal article
- DOI
-
10.3389/fonc.2019.00534
- Title of journal
- Frontiers in Oncology
- Article number
- 534
- First page
- -
- Volume
- 9
- Issue
- -
- ISSN
- 2234-943X
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
10
- Research group(s)
-
A - MM
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The first demonstration of miniaturised, implanted sensors that monitor hypoxic volumes of tumour in real time in the lung tissue of live sheep with a naturally-occurring lung cancer. This model is directly translatable to human lung tissue. New work (made more urgent by COVID-19) is extending the use of sensors to cardiology to measure hypoxia and other biomarkers such as Troponin during acute arrhythmia and in the intensive care setting. Further new initiatives include sensor monitoring of transplant organs, external/internal wounds, and veterinary applications for valuable animals. Clinical trials in cancer patients will begin in 2021, subject to licence.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
