Molecular events associated with trisomy of chromosome 7 in mouse skin chemical carcinogenesis

The primary objective of this study has been to investigate the effects at the molecular level of trisomy of mouse chromosome 7 in chemically induced skin tumors. It was previously proposed that the initiation event in the mouse skin carcinogenesis model is a heterozygous mutation of the Ha-ras-1 gene, mapped to chromosome 7. Previous studies in this laboratory identified trisomy 7 as one of the primary nonrandom cytogenetic abnormalities found in the majority of severely dysplastic papillomas and squamous cell carcinomas induced in SENCAR mice by an initiation-promotion protocol. Therefore, the first hypothesis tested was that trisomy 7 occurs by specific duplication of the chromosome carrying a mutated Ha-ras-1 allele. Results of a quantitative analysis of normal/mutated allelic ratios of the Ha-ras-1 gene confirmed this hypothesis, showing that most of the tumors exhibited overrepresentation of the mutated allele in the form of 1/2, 0/3, and 0/2 (normal/mutated) ratios. In addition, histopathological analysis of the tumors showed an apparent association between the degree of malignancy and the dosage of the mutated Ha-ras-1 allele. To determine the mechanism for loss of the normal Ha-ras-1 allele, found in 30% of the tumors, a comparison of constitutional and tumor genotypes was performed at different informative loci of chromosome 7. By combining Southern blot and polymerase chain reaction fragment length polymorphism analyses of DNAs extracted from squamous cell carcinomas, complete loss of heterozygosity was detected in 15 of 20 tumors at the Hbb locus, and in 5 of 5 tumors at the int-2 locus, both distal to Ha-ras-1. In addition, polymerase chain reaction analysis of DNA extracted from papillomas indicated that loss of heterozygosity occurs in late-stage lesions exhibiting a high degree of dysplasia and areas of microinvasion, suggesting that this event may be associated to the acquisition of the malignant phenotype. Allelic dosage analysis of tumors that had become homozygous at Hbb but retained heterozygosis at Ha-ras-1, indicated that loss of heterozygosity on mouse chromosome 7 occurs by a mitotic recombination mechanism. Overall, these findings suggest the presence of a putative tumor suppressor locus on the 7F1-ter region of mouse chromosome 7. Thus, loss of function by homozygosis at this putative suppressor locus may complement activation of the Ha-ras-1 gene during tumor progression, and might be associated with the malignant conversion stage of mouse skin carcinogenesis. ^

Matrix metalloproteinase-1 as a prognosticator in malignant glioma

The overall purpose of this study was to assess the relationship between the promoter region polymorphism (-2607 1G/2G) of matrix metalloproteinase-1 (MMP-1) polymorphism and outcome in brain tumor patients diagnosed with a primary brain tumor between 1994 and 2000 at The University of Texas M. D. Anderson Cancer Center. The MMP-1 polymorphism was genotyped for all brain tumor patients who participated in the Family Brain Tumor Study and for whom blood samples were available. Relevant covariates were abstracted from medical records for all cases from the original protocol, including information on demographics, tumor histology, therapy and outcome was obtained. The hypothesis was that brain tumor patients with the 2G allele have a poorer prognosis and shorter survival than brain tumor patients with the 1G allele. ^ Experimental Design: Genetic variants for the MMP-1 enzyme were determined by a polymerase chain reaction-restriction fragment length polymorphism assay. Comparison was made between the overall survival for cases with the 2G polymorphism and overall survival for cases with the 1G polymorphism using multivariable Cox Proportional-Hazard analysis, controlling for age, sex, Karnofsky Performance Scale (KPS), extent of surgery, tumor histology and treatment received. Kaplan-Meier and Cox Proportional-Hazard analyses were utilized to assess if the MMP-1 polymorphisms were related to overall survival. Results: Overall survival was not statistically significantly different between the 2G allele brain tumor patients and the 1G allele patients and there was no statistically significant difference between tumor types. ^ Conclusions: No association was found between MMP-1 polymorphisms and survival in patients with malignant gliomas. ^

Parentage analysis with genetic markers in natural populations. I. The expected proportion of offspring with unambiguous paternity.

Recent studies indicate that polymorphic genetic markers are potentially helpful in resolving genealogical relationships among individuals in a natural population. Genetic data provide opportunities for paternity exclusion when genotypic incompatibilities are observed among individuals, and the present investigation examines the resolving power of genetic markers in unambiguous positive determination of paternity. Under the assumption that the mother for each offspring in a population is unambiguously known, an analytical expression for the fraction of males excluded from paternity is derived for the case where males and females may be derived from two different gene pools. This theoretical formulation can also be used to predict the fraction of births for each of which all but one male can be excluded from paternity. We show that even when the average probability of exclusion approaches unity, a substantial fraction of births yield equivocal mother-father-offspring determinations. The number of loci needed to increase the frequency of unambiguous determinations to a high level is beyond the scope of current electrophoretic studies in most species. Applications of this theory to electrophoretic data on Chamaelirium luteum (L.) shows that in 2255 offspring derived from 273 males and 70 females, only 57 triplets could be unequivocally determined with eight polymorphic protein loci, even though the average combined exclusionary power of these loci was 73%. The distribution of potentially compatible male parents, based on multilocus genotypes, was reasonably well predicted from the allele frequency data available for these loci. We demonstrate that genetic paternity analysis in natural populations cannot be reliably based on exclusionary principles alone. In order to measure the reproductive contributions of individuals in natural populations, more elaborate likelihood principles must be deployed.