Unknown

Dataset Information

0

Image-guided radiotherapy platform using single nodule conditional lung cancer mouse models.


ABSTRACT: Close resemblance of murine and human trials is essential to achieve the best predictive value of animal-based translational cancer research. Kras-driven genetically engineered mouse models of non-small-cell lung cancer faithfully predict the response of human lung cancers to systemic chemotherapy. Owing to development of multifocal disease, however, these models have not been usable in studies of outcomes following focal radiotherapy (RT). We report the development of a preclinical platform to deliver state-of-the-art image-guided RT in these models. Presence of a single tumour as usually diagnosed in patients is modelled by confined injection of adenoviral Cre recombinase. Furthermore, three-dimensional conformal planning and state-of-the-art image-guided dose delivery are performed as in humans. We evaluate treatment efficacies of two different radiation regimens and find that Kras-driven tumours can temporarily be stabilized upon RT, whereas additional loss of either Lkb1 or p53 renders these lesions less responsive to RT.

SUBMITTER: Herter-Sprie GS 

PROVIDER: S-EPMC4271540 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications


Close resemblance of murine and human trials is essential to achieve the best predictive value of animal-based translational cancer research. Kras-driven genetically engineered mouse models of non-small-cell lung cancer faithfully predict the response of human lung cancers to systemic chemotherapy. Owing to development of multifocal disease, however, these models have not been usable in studies of outcomes following focal radiotherapy (RT). We report the development of a preclinical platform to  ...[more]

Similar Datasets

| S-EPMC10947714 | biostudies-literature
| S-EPMC9547293 | biostudies-literature
| S-EPMC7807654 | biostudies-literature
| S-EPMC6327451 | biostudies-literature
| S-EPMC9344972 | biostudies-literature
| S-EPMC10377801 | biostudies-literature
| S-EPMC9339676 | biostudies-literature
| S-EPMC6541189 | biostudies-literature
| S-EPMC10791502 | biostudies-literature
| S-EPMC2757265 | biostudies-literature