Methylation, mutation and cancer.

The fifth base in human DNA, 5-methylcytosine, is inherently mutagenic. This has led to marked changes in the distribution of the CpG methyl acceptor site and an 80% depletion in its frequency of occurrence in vertebrate DNA. The coding regions of many genes contain CpGs which are methylated in sperm and serve as hot spots for mutation in human genetic diseases. Fully 30-40% of all human germline point mutations are thought to be methylation induced even though the CpG dinucleotide is under-represented and efficient cellular repair systems exist. Importantly, tumor suppressor genes such as p53 also contain methylated CpGs and these serve as hot spots for mutations in some, but not all, human cancers. Comparison of the spectrum of mutations present in this gene in different human cancers allows for predictions to be made on the molecular mechanisms of tumorigenesis.     

Computational analysis of mutation spectra

Mutation frequencies vary along a nucleotide sequence, and nucleotide positions with an exceptionally high mutation frequency are called hotspots. Mutation hotspots in DNA often reflect intrinsic properties of the mutation process, such as the specificity with which mutagens interact with nucleic acids and the sequence-specificity of DNA repair/replication enzymes. They might also reflect structural and functional features of target protein or RNA sequences in which they occur. The determinants of mutation frequency and specificity are complex and there are many analytical methods for their study. This paper discusses computational approaches to analysing mutation spectra (distribution of mutations along the target genes) that include many detectable (mutable) positions. The following methods are reviewed: mutation hotspot prediction; pairwise and multiple comparisons of mutation spectra; derivation of a consensus sequence; and analysis of correlation between nucleotide sequence features and mutation spectra. Spectra of spontaneous and induced mutations are used for illustration of the complexities and pitfalls of such analyses. In general, the DNA sequence context of mutation hotspots is a fingerprint of interactions between DNA and DNA repair/replication/modification enzymes, and the analysis of hotspot context provides evidence of such interactions.     

A phylogenetic comparison of mutation spectra

Summary Spectra of induced mutations resulting in obligate organoauxotrophy are compared at different phylogenetic levels from bacteria to higher plants. It appears that the spectra of mutants concerned with basic cell metabolism are more or less the same in bacteria and fungi. In higher, green plants (an alga and an angiosperm) the spectra are qualitatively different. Mutation frequency in certain pathways is common, while in others no mutants have been found. This lack of recovery of many classes of mutants indicates a reduction, by several orders of magnitude, in either mutability or detectability of the mutants in the majority of the biosynthetic systems.Contribution from the Missouri Agricultural Experiment Station. Journal Series No. 5167. Approved by the Director.This work was supported by National Science Foundation Grants GB-3999, GB-4301 and U.S. Atomic Energy Commission Contract AT (11-1)-1609.     

Human exposure to endocrine disrupters: carcinogenic risk assessment

Human exposure to endocrine disrupters (EDs) is widespread and is considered to pose a growing threat to human health. Recent advances in molecular and genetic research and better understanding of mechanisms of blastic cell transformation have led to efforts to improve cancer risk assessment for populations exposed to this family of xenobiotics. In risk assessment, low dose extrapolation of cancer incidence data from both experimental animals and epidemiology studies has been largely based on models assuming linear correlation at low doses, despite existence of evidence showing otherwise. Another weakness of ED risk assessment is poor exposure data in ecological studies. Those are frequently rough estimates derived from contaminated items of local food basket surveys. Polyhalogenated hydrocarbons are treated as examples. There is growing sense of urgency to develop a biologically based dose response model of cancer risk, integrating emerging data from molecular biology and epidemiology to provide more realistic data for risk assessors, public, public health managers and environmental issues administrators.     

An exploratory analysis of multiple mutation spectra

The last decade has witnessed a remarkable increase in the number of mutations identified both in human disease-related genes and mutation reporter genes including those in mammalian cells and transgenic animals. This has led to the curation of a number of computerised databases, which make mutation data freely available for analysis. A primary interest of both the clinical researcher and the genetic toxicologist is determination of location and types of mutation within a gene of interest. Collections of mutation data observed for a disease-related gene or, for a gene exposed to a particular chemical, permits discovery of regions of sequence along the gene prone to mutagenesis and may provide clues to the origin of a mutation. The principal tool for visualising the distribution pattern of mutant data along a gene is the mutation spectrum: the distribution and frequency of mutations along a nucleotide sequence. In genetic toxicology, the current wealth of mutation data available allows us to construct many mutation spectra of interest to investigate the mutagenic mechanisms and mutational sites for one or a group of mutagens. Using the multivariate statistical methods principal components analysis (PCA) and cluster analysis (CA) we have tested the ability of these methods to establish the underlying patterns within and between 60 UV-induced, mitomycin C-induced and spontaneous mutations in the supF gene. The spectra were derived from human, monkey and mouse cells including both repair efficient and repair deficient cell lines. We demonstrate and support the successful application of multivariate statistical methods for exploring large sets of mutation spectra to reveal underlying patterns, groupings and similarities. The methods clearly demonstrate how different patterns of spontaneous and UV-induced supF mutation spectra can result from variation in plasmid, culture medium, species origin of cell line and whether mutations arose in vivo or in vitro.     

Human sequence variation and mutation databases

This paper aims to give an overview of current resources onhuman sequence variations and give an idea about the directionin which these services are moving.      

Strand-specific mutation spectra in repair-proficient and repair-deficient hamster cells

The mutation spectrum induced by UV light has been determined at the hprt locus for both cultured normal (AA8) and UV-sensitive (UV-5) Chinese hamster ovary cells to investigate the effect of DNA repair on the nature of induced mutations. DNA base-pair changes of 23 hprt mutants of AA8 and of 28 hprt mutants of UV-5 were determined by sequence analysis of in vitro amplified hprt cDNA. Almost all mutants in AA8 carried single-base substitutions, transitions and transversions accounting for 38% and 62% of the base changes, respectively. In contrast, in repair-deficient cells (UV-5) tandem and nontandem double mutations represented a considerable portion of the mutations observed (30%), whereas the vast majority of base-pair substitutions were GC greater than AT transitions (87%). Moreover, 5 splice mutants and 2 frameshift mutations were found in the UV-5 collection. In almost all mutants analyzed base changes were located at dipyrimidine sites where UV photoproducts could have been formed. In AA8 the photolesions causing mutations were predominantly located in the nontranscribed strand whereas a strong bias for mutation induction towards photolesions in the transcribed strand was found in UV-5. We hypothesize that preferential removal of lesions from the transcribed strand of the hprt gene accounts for the observed DNA strand specificity of mutations in repair-proficient cells. Furthermore, differences in the degree of misincorporation opposite a lesion for lagging and leading strand DNA synthesis may dictate the pattern of UV-induced mutations in the absence of DNA repair.     

Human microsatellites: mutation and evolution

Microsatellites (MSs) are short tandem DNA repeats with the repetitive motif of two to six nucleotides, forming tracts up to hundreds of nucleotides long. Notwithstanding the active use of MSs in genetic studies of various biological problems, the reasons for their wide occurrence in the genome, their possible functions, and mutational behavior are still unclear. The mutation rate in MS repeats is on average several orders of magnitude higher than in the remaining DNA, which allows for direct estimation of evolutionary transformation rate in nucleotide sequences of the genome. Mutation process in MSs is species-specific; furthermore, within a species it differs among loci with different repeat size, among alleles of one locus, and among individuals of different sex and age. Most MS mutations are caused by DNA slippage during replication but the probability of this event depends on the locus. In this review, a number of models of MS evolution are discussed, which account for the relationship between mutation rate and allele size, different mutation direction in alleles of different size, and the appearance of point mutations within repeat tracts restricting allele size. The MS evolution is considered mainly in the context of selective neutrality, although there is evidence showing functional significance of some variants of tandem repeats and thus their possible selective value.     

Comparison of spontaneous and adaptive mutation spectra in yeast

Adaptive mutations occur in nongrowing populations of cells to overcome strong, nonlethal selection conditions. Several models have been proposed for the molecular mechanism(s) for this phenomenon inEscherichia coli, but the mechanisms involved in adaptive mutagenesis in the yeastSaccharomyces cerevisiae are largely unknown. We present here a comparison of the mutational spectra of spontaneous and adaptive frameshift reversion events in yeast. In contrast to results fromE. coli, we find that the mutational spectrum of adaptive mutations inS. cerevisiae is not similar to that seen in mismatch repair defective cells, but rather resembles the spontaneous mutational events that occur during normal growth.     

Variation in cancer risks, by mutation position, in BRCA2 mutation carriers

Cancer occurrence in 164 families with breast/ovarian cancer and germline BRCA2 mutations was studied to evaluate the evidence for genotype-phenotype correlations. Mutations in a central portion of the gene (the "ovarian cancer cluster region" [OCCR]) were associated with a significantly higher ratio of cases of ovarian:breast cancer in female carriers than were mutations 5' or 3' of this region (P<.0001), extending previous observations. The optimal definition of the OCCR, as judged on the basis of deviance statistics, was bounded by nucleotides 3059-4075 and 6503-6629. The relative and absolute risks of breast and ovarian cancer associated with OCCR and non-OCCR mutations were estimated by a conditional likelihood approach, conditioning on the set of mutations observed in the families. OCCR mutations were associated both with a highly significantly lower risk of breast cancer (relative risk [RR] 0.63; 95% confidence interval (95% CI) 0.46-0.84; P=.0012) and with a significantly higher risk of ovarian cancer (RR = 1.88; 95% CI = 1.08-3.33; P=.026). No other differences in breast or ovarian cancer risk, by mutation position, were apparent. There was some evidence for a lower risk of prostate cancer in carriers of an OCCR mutation (RR = 0.52; 95% CI = 0.24-1.00; P=.05), but there was no evidence of a difference in breast cancer risk in males. By age 80 years, the cumulative risk of breast cancer in male carriers of a BRCA2 mutation was estimated as 6.92% (95% CI = 1.20%-38.57%). Possible mechanisms for the variation in cancer risk are suggested by the coincidence of the OCCR with the RAD51-binding domain.     

Influence of sex, smoking and age on human hprt mutation frequencies and spectra.

Examination of the literature for hprt mutant frequencies from peripheral T cells yielded data from 1194 human subjects. Relationships between mutant frequency, age, sex, and smoking were examined, and the kinetics were described. Mutant frequency increases rapidly with age until about age 15. Afterward, the rate of increase falls such that after age 53, the hprt mutant frequency is largely stabilized. Sex had no effect on mutant frequency. Cigarette smoking increased mean mutant frequency compared to nonsmokers, but did not alter age vs. mutant frequency relationships. An hprt in vivo mutant database containing 795 human hprt mutants from 342 individuals was prepared. No difference in mutational spectra was observed comparing smokers to nonsmokers, confirming previous reports. Sex affected the frequency of deletions (>1 bp) that are recovered more than twice as frequently in females (P = 0. 008) compared to males. There is no indication of a significant shift in mutational spectra with age for individuals older than 19 yr, with the exception of A:T --> C:G transversions. These events are recovered more frequently in older individuals.     

A mutation spectra database for bacterial and mammalian genes.

Each mutation spectrum in this database is a dataset of changes in DNA base sequence in mutations induced in a gene by a particular mutagen (including spontaneous processes) under defined conditions. There are 240 datasets with 24 500 mutants in nine bacterial genes, two phage genes, five mammalian genes and one yeast gene. The database is available on the Web at http://info.med.yale.edu/mutbase/ . The data tables can be viewed on the Web and downloaded in text form for local use. The data are also available in dBASE III, a format which can be utilized by essentially any desktop computer database program or spreadsheet, and makes feasible analyses of a large number of mutants. Researchers are invited to submit additional data. A data entry program, MUTSIN, diagrams each mutation on the computer screen as the data are entered and alerts the user to any discrepancies between the entry and the gene sequence.     

Influence of DNA repair on mutation spectra in Salmonella

This paper reviews the influence of DNA repair on spontaneous and mutagen-induced mutation spectra at the base-substitution (hisG46) and -1 frameshift (hisD3052) alleles present in strains of the Salmonella (Ames) mutagenicity assay. At the frameshift allele (mostly a CGCGCGCG target), ΔuvrB influences the frequency of spontaneous hotspot mutations (−CG), duplications, and deletions, and it also shifts the sites of deletions and duplications. Cells with pKM101+ΔuvrB spontaneously produce complex frameshifts (frameshifts with an adjacent base substitution). The spontaneous frequency of 1-base insertions or concerted (templated) mutations is unaffected by DNA repair, and neither mutation is inducible by mutagens. Glu-P-1, 1-nitropyrene (1NP), and 2-acetylaminofluorene (2AAF) induce only hotspot mutations and are unaffected by pKM101, whereas benzo(a)pyrene and 4-aminobiphenyl induce only hotspot in pKM101⁻, and hotspot plus complex in pKM101⁺. At the base-substitution allele (mostly a CC/GG target), the ΔuvrB allele increases spontaneous transitions in the absence of pKM101 and increases transversions in its presence. The frequency of suppressor mutations is decreased 4× by ΔuvrB, but increased 7.5× by pKM101. Both repair factors cause a shift in the proportion of mutations to the second position of the CC/GG target. With UV light and γ-rays, the ΔuvrB allele increases the proportion of transitions relative to transversions. pKM101 is required for mutagenesis by Glu-P-1 and 4-AB, and the types and positions of the substitutions are not altered by the addition of the ΔuvrB allele. Changes in DNA repair appear to cause more changes in spontaneous than in mutagen-induced mutation spectra at both alleles. There is a high correlation (r²=0.8) between a mutagen's ability to induce complex frameshifts and its relative base-substitution/frameshift mutagenic potency. A mutagen induces the same primary class of base substitution in TA100 (ΔuvrB, pKM101) as it does in Escherichia coli, mammalian cells, or rodents as well as in the p53 gene of human tumors associated with exposure to that mutagen. Thus, a mutagen induces the same primary class of base substitution in most organisms, reflecting the conserved nature of DNA replication and repair processes.     

Human mitochondria in health, disease, ageing and cancer

In every human cell there are hundreds of mitochondria, which are required for oxidative phosphorylation as well as many other metabolic processes. Each mitochondrion contains approximately 5 mitochondrial DNA molecules. These circular DNAs of 16.5 kb in size contain only 39 genes. Mutations in mitochondrial DNA are responsible for many diseases. Alterations in these molecules may also play a role in ageing and in tumour formation.     

DNA adducts,genetic polymorphisms,and K-ras mutation in human pancreatic cancer

To test the hypothesis that carcinogen exposure and oxidative stress are involved in pancreatic carcinogenesis in susceptible individuals, aromatic DNA adducts and 8-hydroxyguanosine (8-OH-dG) were measured by ³²P-postlabeling and HPLC–EC, respectively, in 31 pancreatic tumors and 13 normal tissues adjacent to the tumor from patients with pancreatic cancer. Normal pancreatic tissues from 24 organ donors, from six patients with non-pancreatic cancers, and from five patients with chronic pancreatitis served as controls. It was found that tissue samples from patients with pancreatic cancer had significantly higher levels of both aromatic DNA adducts and 8-OH-dG compared with control samples. The mean (±S.D.) levels of aromatic DNA adducts were 101.8±74.6, 26.9±26.6, and 11.2±6.6 per 10⁹ nucleotides in adjacent tissues, tumors, and controls, respectively. The mean (±S.D.) levels of 8-OH-dG were 11.9±9.6, 10.8±10.6, and 6.7±4.6 per 10⁵ nucleotides in adjacent tissues, tumors, and controls, respectively. Polymorphisms of the CYP1A1, CYP2E1, NAT1, NAT2, GSTM1, MnSOD, and hOGG1 genes were determined in these patients. The level of aromatic DNA adducts was significantly associated with polymorphism of the CYP1A1 gene. No significant correlation was found between the level of 8-OH-dG and the MnSOD, GSTM1, and hOGG1 polymorphisms. However, one novel polymorphism/mutation of the hOGG1 gene was found in a pancreatic tumor. Mutation at codon 12 of the K-ras gene was found in 25 (81%) of 31 pancreatic tumors, including three G-to-A transitions and 22 G-to-T transversions. Patients with the G-to-T mutation had a significantly higher level of aromatic DNA adducts than those with G-to-A or wild-type codon (P=0.02). On the other hand, the K-ras mutation profile was not related to the level of 8-OH-dG. Given the limitation of sample size, these preliminary data lend further support the hypothesis that carcinogen exposure and oxidative stress are involved in pancreatic carcinogenesis.