Improving the accuracy of radiation pneumonitis dose response models

The prognosis for lung cancer patients remains poor. Five year survival rates have been reported to be 15%. Studies have shown that dose escalation to the tumor can lead to better local control and subsequently better overall survival. However, dose to lung tumor is limited by normal tissue toxicity. The most prevalent thoracic toxicity is radiation pneumonitis. In order to determine a safe dose that can be delivered to the healthy lung, researchers have turned to mathematical models predicting the rate of radiation pneumonitis. However, these models rely on simple metrics based on the dose-volume histogram and are not yet accurate enough to be used for dose escalation trials. The purpose of this work was to improve the fit of predictive risk models for radiation pneumonitis and to show the dosimetric benefit of using the models to guide patient treatment planning. The study was divided into 3 specific aims. The first two specifics aims were focused on improving the fit of the predictive model. In Specific Aim 1 we incorporated information about the spatial location of the lung dose distribution into a predictive model. In Specific Aim 2 we incorporated ventilation-based functional information into a predictive pneumonitis model. In the third specific aim a proof of principle virtual simulation was performed where a model-determined limit was used to scale the prescription dose. The data showed that for our patient cohort, the fit of the model to the data was not improved by incorporating spatial information. Although we were not able to achieve a significant improvement in model fit using pre-treatment ventilation, we show some promising results indicating that ventilation imaging can provide useful information about lung function in lung cancer patients. The virtual simulation trial demonstrated that using a personalized lung dose limit derived from a predictive model will result in a different prescription than what was achieved with the clinically used plan; thus demonstrating the utility of a normal tissue toxicity model in personalizing the prescription dose.

Role of germ line p53 mutations in aneuploidy and immortalization of dermal fibroblasts from Li-Fraumeni cancer patients

Pedigree analysis of certain families with a high incidence of tumors suggests a genetic predisposition to cancer. Li and Fraumeni described a familial cancer syndrome that is characterized by multiple primary tumors, early age of onset, and marked variation in tumor type. Williams and Strong (1) demonstrated that at least 7% of childhood soft tissue sarcoma patients had family histories that is readily explained by a highly penetrant autosomal dominant gene. To characterize the mechanism for genetic predisposition to many tumor types in these families, we have studied genetic alterations in fibroblasts, a target tissue from patients with the Li-Fraumeni Syndrome (LFS).^ We have observed spontaneous changes in initially normal dermal fibroblasts from LFS patients as they are cultured in vitro. The cells acquire an altered morphology, chromosomal anomalies, and anchorage-independent growth. This aberrant behavior of fibroblasts from LFS patients had never been observed in fibroblasts from normal donors. In addition to these phenotypic alterations, patient fibroblasts spontaneously immortalize by 50 population doublings (pd) in culture; unlike controls that remain normal and senesce by 30-35 (2). At 50 pd, immortal fibroblasts from two patients were found to be susceptible to tumorigenic transformation by an activated T24 H-ras oncogene (3). Approximately 80% of the oncogene expressing transfectants were capable of forming tumors in nude mice within 2-3 weeks. p53 has been previously associated with immortalization of cells in culture and cooperation with ras in transfection assays. Therefore, patients' fibroblast and lymphocyte derived DNA was tested for point mutations in p53. It was shown that LFS patients inherited certain point mutations in one of the two p53 alleles (4). Further studies on the above LFS immortal fibroblasts have demonstrated loss of the remaining p53 allele concomitant with escape from senescence. While the loss of the second allele correlates with immortalization it is not sufficient to transformation by an activated H-ras or N-ras oncogene. These immortal fibroblasts are resistant to tumorigenic transformation by v-abl, v-src, c-neu or v-mos oncogene; implying that additional steps are required in the tumorigenic progression of LFS patients' fibroblasts.^ References. (1) Williams et al., J. Natl. Cancer Inst. 79:1213, 1987. (2) Bischoff et al., Cancer Res. 50:7979, 1990. (3) Bischoff et al., Oncogene 6:183, 1991. (4) Malkin et al., Science 250:1233, 1990. ^