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. ^

Investigation of arterial spin labeling MRI for quantitative cerebral blood flow measurement

Arterial spin labeling (ASL) is a technique for noninvasively measuring cerebral perfusion using magnetic resonance imaging. Clinical applications of ASL include functional activation studies, evaluation of the effect of pharmaceuticals on perfusion, and assessment of cerebrovascular disease, stroke, and brain tumor. The use of ASL in the clinic has been limited by poor image quality when large anatomic coverage is required and the time required for data acquisition and processing. This research sought to address these difficulties by optimizing the ASL acquisition and processing schemes. To improve data acquisition, optimal acquisition parameters were determined through simulations, phantom studies and in vivo measurements. The scan time for ASL data acquisition was limited to fifteen minutes to reduce potential subject motion. A processing scheme was implemented that rapidly produced regional cerebral blood flow (rCBF) maps with minimal user input. To provide a measure of the precision of the rCBF values produced by ASL, bootstrap analysis was performed on a representative data set. The bootstrap analysis of single gray and white matter voxels yielded a coefficient of variation of 6.7% and 29% respectively, implying that the calculated rCBF value is far more precise for gray matter than white matter. Additionally, bootstrap analysis was performed to investigate the sensitivity of the rCBF data to the input parameters and provide a quantitative comparison of several existing perfusion models. This study guided the selection of the optimum perfusion quantification model for further experiments. The optimized ASL acquisition and processing schemes were evaluated with two ASL acquisitions on each of five normal subjects. The gray-to-white matter rCBF ratios for nine of the ten acquisitions were within ±10% of 2.6 and none were statistically different from 2.6, the typical ratio produced by a variety of quantitative perfusion techniques. Overall, this work produced an ASL data acquisition and processing technique for quantitative perfusion and functional activation studies, while revealing the limitations of the technique through bootstrap analysis. ^