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Introduction: The 2016 US Surgeon General's Report suggests that the use of electronic nicotine delivery systems (ENDS) is a fetal risk factor. However, no previous study has estimated their effect on adverse pregnancy outcomes. We assessed the prevalence of current ENDS use in pregnant women and explored the effect on birth weight and smallness-for-gestational-age (SGA), correcting for misclassification from nondisclosure of smoking status., Methods: We conducted a cohort study with 248 pregnant women using questionnaire data and biomarkers (salivary cotinine, exhaled carbon monoxide, and hair nicotine). We evaluated the association between birth weight and the risk of SGA by applying multivariate linear and log-binomial regression to reproductive outcome data for 232 participants. Participants who did not disclose their smoking status were excluded from the referent group. Sensitivity analysis corrected for misclassification of smoking/ENDS use status., Results: The prevalence of current ENDS use among pregnant women was 6.8% (95% CI: 4.4-10.2%); most of these (75%) were concurrent smokers. Using self-reports, the estimated risk ratio of SGA for ENDS users was nearly two times the risk in the unexposed (RR=1.9, 95% CI: 0.6-5.5), and over three times that for ENDS-only users versus the unexposed (RR=3.1, 95% CI: 0.8-11.7). Excluding from the referent group smokers who did not disclose their smoking status, the risk of SGA for ENDS-only use was 5 times the risk in the unexposed (RR=5.1, 95% CI: 1.1- 22.2), and almost four times for all types of ENDS users (RR=3.8, 95% CI: 1.3-11.2). SGA risk ratios for ENDS users, corrected for misclassification due to self-report, were 6.5-8.5 times that of the unexposed., Conclusions: Our data suggest that ENDS use is associated with an increased risk of SGA., Competing Interests: Authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none was reported.

Objectives: As of October 2015, evidence needed to make a recommendation about the use of electronic nicotine delivery systems (ENDS) for smoking cessation was limited. We used the 2014 Arkansas Behavioral Risk Factor Surveillance System with additional state-specific questions to determine the prevalence of ENDS use, the impact of ENDS use on smoking cessation, and beliefs about ENDS use in Arkansas. Our objectives were to determine if (1) ENDS use was associated with lower odds of quitting smoking, (2) ENDS users believed that ENDS use was not harmful to their health, and (3) ENDS users believed that switching to ENDS reduced their tobacco-related health risks., Methods: We conducted a cross-sectional study of 4465 respondents to the Arkansas Behavioral Risk Factor Surveillance System and used weighted analyses to account for the complex survey design. We used a subset of records formed by (1) formers smokers who quitted smoking in the last 5 years and (2) current smokers to assess the odds of quitting., Results: In 2014, 6.1% (95% confidence interval [CI], 5.0%-7.4%) of Arkansas adults were currently using ENDS. Of the 1083 participants who were current smokers or had quit smoking within the past 5 years, 515 (54.1%) had used ENDS. Of the 515 ENDS users, 404 (80.3%) had continued smoking. ENDS use was significantly associated with reduced odds of quitting smoking (weighted odds ratio = 0.53; 95% CI, 0.34-0.83). Although 2437 of 3808 participants (62.5%) believed that it was harmful for nonsmokers to start using ENDS and 1793 of 3658 participants (47.0%) believed that switching to ENDS did not reduce tobacco-related health risks, only 80 of 165 (41.3%) and 50 of 168 (33.9%) ENDS users shared these same respective beliefs., Conclusions: Most smokers who indicated smoking in the past 5 years and who tried ENDS did not stop smoking. ENDS use was inversely associated with smoking cessation. Tobacco cessation programs should tell cigarette smokers that ENDS use may not help them quit smoking.

Objectives: We assessed whether the prevalence of recent (within a year) initiation of cigarette smoking was associated with reports of ever using electronic delivery systems (ENDS) in the National Youth Tobacco Survey (NYTS) and whether the association varied by age., Methods: Weighted cross-sectional analysis of use of ENDS, cigarette smoking, age at interview and age at initiation of smoking collected systematically through the 2011-2013 NYTS cycles., Results: In multivariate analyses those who ever used ENDS were twice as likely as nonusers of ENDS to have tried cigarette smoking in the last year (multivariate PR: 2.3; 95 % CI 1.9, 2.7). This average hid significant variations by age: a 4.1-fold increase (95 %; 2.6, 6.4) among those 11-13 years of age, compared to a smaller increase among those 16-18 years: 1.4-fold (95 % CI 1.1, 1.8)., Conclusions: Use of ENDS by adolescents was associated with initiation of cigarette smoking in the last year. This association was stronger in younger adolescents.

Aims: Doxorubicin (DOX), a widely used anticancer agent, can cause an unpredictable cardiac toxicity which remains a major limitation in cancer chemotherapy. There is a need for noninvasive, sensitive and specific biomarkers which will allow identifying patients at risk for DOX-induced cardiotoxicity to prevent permanent cardiac damage. The aim of this study was to investigate whether the expression of specific genes in the peripheral blood can be used as surrogate marker(s) for DOX-induced cardiotoxicity., Methods/results: Rats were treated with a single dose of DOX similar to one single dose that is often administered in humans. The cardiac and peripheral blood mononuclear cells (PBMCs) genome-wide expression profiling were examined using Illumina microarrays. The results showed 4,409 differentially regulated genes (DRG) in the hearts and 4,120 DRG in PBMC. Of these 2411 genes were similarly DRG (SDRG) in both the heart and PBMC. Pathway analysis of the three datasets of DRG using Gene Ontology (GO) enrichment analysis and Ingenuity Pathways Analysis (IPA) showed that most of the genes in these datasets fell into pathways related to oxidative stress response and protein ubiquination. IPA search for potential eligible biomarkers for cardiovascular disease within the SDRG list revealed 188 molecules., Conclusions: We report the first in-depth comparison of DOX-induced global gene expression profiles of hearts and PBMCs. The high similarity between the gene expression profiles of the heart and PBMC induced by DOX indicates that the PBMC transcriptome may serve as a surrogate marker of DOX-induced cardiotoxicity. Future directions of this research will include analysis of PBMC expression profiles of cancer patients treated with DOX-based chemotherapy to identify the cardiotoxicity risk, predict DOX-treatment response and ultimately to allow individualized anti-cancer therapy.

A perceived disadvantage of transgenic rodent mutation assays is that spontaneous mutant frequencies are high compared to those of endogenous genes and may consequently reduce sensitivity to induced mutation. We have previously argued that unrepaired G:T mismatches from spontaneous deamination of 5-methylcytosine at CpG sites could be converted to apparent in vivo mutations in the bacterial recovery systems because of rapid, random, mismatch repair in Escherichia coli. In this study, we have measured mutation frequencies in spleen of male mice induced by N-ethyl-N-nitrosourea (ENU) using the PhiX174 transgene, which is not subject to mismatch repair in E.coli, using single-burst analysis, a unique method to identify in vivo mutation. In order to compare our results to those using the lacI and cII transgenes, we converted all mutant frequencies to base pair substitution (bps) mutation frequencies per nucleotide based on mutant spectra from this study and published literature. We found this frequency in control spleen to be similar for lacI (3.8 +/- 0.7 x 10(-8)) and PhiX174 (3.1 +/- 1.2 x 10(-8)) at 6 weeks of age. We found a strong age dependence for spontaneous lacI mutation that extrapolated to a value at conception (1.8 +/- 0.9 x 10(-8)) that was not significantly different from the human germ line bps mutation frequency per nucleotide of 1.7 +/- 0.2 x 10(-8). These two transgenes provided similar mutational responses to 40 mg/kg ENU, 7- to 9-fold. In contrast, the cII target gene in the same tissue produces both spontaneous and induced mutation frequencies approximately 10 times higher, for unknown reasons. We conclude that the spontaneous mutant frequencies measured by the lacI and PhiX174 transgenes in this moderately dividing tissue accurately measure in vivo mutation frequencies at early ages. For these two transgenes, seemingly high mutant frequencies may reflect the expected accumulation of somatic mutation with age.

Background: Bioassays are routinely used to evaluate the toxicity of test agents. Experimental designs for bioassays are largely encompassed by fixed effects linear models. In toxicogenomics studies where DNA arrays measure mRNA levels, the tissue samples are typically generated in a bioassay. These measurements introduce additional sources of variation, which must be properly managed to obtain valid tests of treatment effects., Results: An analysis of covariance model is developed which combines a fixed-effects linear model for the bioassay with important variance components associated with DNA array measurements. These models can accommodate the dominant characteristics of measurements from DNA arrays, and they account for technical variation associated with normalization, spots, dyes, and batches as well as the biological variation associated with the bioassay. An example illustrates how the model is used to identify valid designs and to compare competing designs., Conclusions: Many toxicogenomics studies are bioassays which measure gene expression using DNA arrays. These studies can be designed and analyzed using standard methods with a few modifications to account for characteristics of array measurements, such as multiple endpoints and normalization. As much as possible, technical variation associated with probes, dyes, and batches are managed by blocking treatments within these sources of variation. An example shows how some practical constraints can be accommodated by this modelling and how it allows one to objectively compare competing designs.

In studies that use DNA arrays to assess changes in gene expression, it is preferable to measure the significance of treatment effects on a group of genes from a pathway or functional category such as gene ontology terms (GO terms, http://www.geneontology.org) because this facilitates the interpretation of effects and may markedly increase significance. A modified meta-analysis method to combine p-values was developed to measure the significance of an overall treatment effect on such functionally-defined groups of genes, taking into account the correlation structure among genes. For hypothesis testing that allows gene expression to change in both directions, p-values are calculated under the null distribution generated by a Monte Carlo method. As a test of this procedure, we attempted to distinguish altered pathways in microarray studies performed with Mitochips, oligonucleotide microarrays specific to mitochondrial DNA-encoded transcripts. We found that our analytic method improves the specificity of selection for altered pathways, due to incorporation of the inter-gene correlation structure in each pathway. It is thus a practical method to measure treatment effects on GO groups. In many actual applications, microarray experiments measure treatment effects under complicated design structures and with small sample sizes. For such applications to real data of limited statistical power, and also in computer simulations, we demonstrate that our method gives reasonable test results.

Background: Many researchers are concerned with the comparability and reliability of microarray gene expression data. Recent completion of the MicroArray Quality Control (MAQC) project provides a unique opportunity to assess reproducibility across multiple sites and the comparability across multiple platforms. The MAQC analysis presented for the conclusion of inter- and intra-platform comparability/reproducibility of microarray gene expression measurements is inadequate. We evaluate the reproducibility/comparability of the MAQC data for 12901 common genes in four titration samples generated from five high-density one-color microarray platforms and the TaqMan technology. We discuss some of the problems with the use of correlation coefficient as metric to evaluate the inter- and intra-platform reproducibility and the percent of overlapping genes (POG) as a measure for evaluation of a gene selection procedure by MAQC., Results: A total of 293 arrays were used in the intra- and inter-platform analysis. A hierarchical cluster analysis shows distinct differences in the measured intensities among the five platforms. A number of genes show a small fold-change in one platform and a large fold-change in another platform, even though the correlations between platforms are high. An analysis of variance shows thirty percent of gene expressions of the samples show inconsistent patterns across the five platforms. We illustrated that POG does not reflect the accuracy of a selected gene list. A non-overlapping gene can be truly differentially expressed with a stringent cut, and an overlapping gene can be non-differentially expressed with non-stringent cutoff. In addition, POG is an unusable selection criterion. POG can increase or decrease irregularly as cutoff changes; there is no criterion to determine a cutoff so that POG is optimized., Conclusion: Using various statistical methods we demonstrate that there are differences in the intensities measured by different platforms and different sites within platform. Within each platform, the patterns of expression are generally consistent, but there is site-by-site variability. Evaluation of data analysis methods for use in regulatory decision should take no treatment effect into consideration, when there is no treatment effect, "a fold-change cutoff with a non-stringent p-value cutoff" could result in 100% false positive error selection.

Motivation: Gene class testing (GCT) is a statistical approach to determine whether some functionally predefined classes of genes express differently under two experimental conditions. GCT computes the P-value of each gene class based on the null distribution and the gene classes are ranked for importance in accordance with their P-values. Currently, two null hypotheses have been considered: the Q1 hypothesis tests the relative strength of association with the phenotypes among the gene classes, and the Q2 hypothesis assesses the statistical significance. These two hypotheses are related but not equivalent., Method: We investigate three one-sided and two two-sided test statistics under Q1 and Q2. The null distributions of gene classes under Q1 are generated by permuting gene labels and the null distributions under Q2 are generated by permuting samples., Results: We applied the five statistics to a diabetes dataset with 143 gene classes and to a breast cancer dataset with 508 GO (Gene Ontology) terms. In each statistic, the null distributions of the gene classes under Q1 are different from those under Q2 in both datasets, and their rankings can be different too. We clarify the one-sided and two-sided hypotheses, and discuss some issues regarding the Q1 and Q2 hypotheses for gene class ranking in the GCT. Because Q1 does not deal with correlations among genes, we prefer test based on Q2., Supplementary Information: Supplementary data are available at Bioinformatics online.

K-ras codon 12 GGT-->GAT and GGT-->GTT mutations are the most frequently observed K-ras point mutations in human and rodent tumors and therefore are implicated in carcinogenesis for many tissues. Measurement of these mutations in rat models and human tissue could facilitate a more logical extrapolation of rodent tumorigenesis data to human disease. We have developed allele-specific competitive blocker PCR (ACB-PCR) assays for rat K-ras codon 12 GGT-->GTT and GGT-->GAT mutations that parallel the already published assays for human K-ras codon 12 mutations. Liver K-ras codon 12 mutant allele fractions were measured in vehicle-treated and N-hydroxy-2-acetylaminofluorene (N-OH-AAF)-treated Big Blue rats. The average K-ras codon 12 GGT-->GTT mutant fraction (MF) for four control rats was 50 x 10(-6) (95% CI: 27 x 10(-6), 95 x 10(-6)) and for four treated rats was 165 x 10(-6) (95% CI: 87 x 10(-6), 312 x 10(-6)), indicating a 3.3-fold increase with treatment (95% CI: 1.3-8.1). The average MF of K-ras codon 12 GGT-->GAT for control rats was 1320 x 10(-6) (95% CI: 498 x 10(-6), 3500 x 10(-6)) and for treated rats was 8450 x 10(-6) (95% CI: 3180 x 10(-6), 22 400 x 10(-6)), indicating a 6.4-fold increase with treatment (95% CI: 1.6-25.4). These transgenic rats were part of a study that included analysis of liver lacI mutations. Although data from lacI determinations show that this compound induces mostly G-->T mutations, using the ACB-PCR method both K-ras codon 12 GGT-->GTT and GGT-->GAT MFs were significantly increased in treated rats versus control rats. This data raises the possibility that N-OH-AAF may not only induce mutations by a genotoxic mechanism, but also by amplification of both de novo and pre-existing K-ras mutation.

DNA mismatch repair (MMR) deficiencies result in increased frequencies of spontaneous mutation and tumor formation. In the present study, we tested the hypothesis that a chemically-induced mutational response would be greater in a mouse with an MMR-deficiency than in the MMR-proficient mouse models commonly used to assay for chemical carcinogenicity. To accomplish this, the induction of H-ras codon 61 CAA-->AAA mutation was examined in Pms2 knockout mice (Pms2-/-, C57BL/6 background) and sibling wild-type mice (Pms2+/+). Groups of five or six neonatal male mice were treated with 0.3 micromol 4-aminobiphenyl (4-ABP) or the vehicle control, dimethylsulfoxide. Eight months after treatment, liver DNAs were isolated and analysed for levels of H-ras codon 61 CAA-->AAA mutation using allele-specific competitive blocker-PCR. In Pms2-proficient and Pms2-deficient mice, 4-ABP treatment caused an increase in mutant fraction (MF) from 1.65x10(-5) to 2.91x10(-5) and from 3.40x10(-5) to 4.70x10(-5), respectively. Pooling data from 4-ABP-treated and control mice, the approximately 2-fold increase in MF observed in Pms2-deficient as compared with Pms2-proficient mice was statistically significant (P=0.0207) and consistent with what has been reported previously in terms of induction of G:C-->T:A mutation in a Pms2-deficient background. Pooling data from both genotypes, the increase in H-ras MF in 4-ABP-treated mice, as compared with control mice, did not reach the 95% confidence level of statistical significance (P=0.0606). The 4-ABP treatment caused a 1.76-fold and 1.38-fold increase in average H-ras MF in Pms2-proficient and Pms2-deficient mice, respectively. Furthermore, the levels of induced mutation in Pms2-proficient and Pms2-deficient mice were nearly identical (1.26x10(-5) and 1.30x10(-5), respectively). We conclude that Pms2-deficiency does not result in an amplification of the H-ras codon 61 CAA-->AAA mutational response induced by 4-ABP.

Background: Gender differences in gene expression were estimated in liver samples from 9 males and 9 females. The study tested 31,110 genes for a gender difference using a design that adjusted for sources of variation associated with cDNA arrays, normalization, hybridizations and processing conditions., Results: The genes were split into 2,800 that were clearly expressed (expressed genes) and 28,310 that had expression levels in the background range (not expressed genes). The distribution of p-values from the 'not expressed' group was consistent with no gender differences. The distribution of p-values from the 'expressed' group suggested that 8% of these genes differed by gender, but the estimated fold-changes (expression in males/expression in females) were small. The largest observed fold-change was 1.55. The 95% confidence bounds on the estimated fold-changes were less than 1.4 fold for 79.3%, and few (1.1%) exceed 2-fold., Conclusion: Observed gender differences in gene expression were small. When selecting genes with gender differences based upon their p-values, false discovery rates exceed 80% for any set of genes, essentially making it impossible to identify any specific genes with a gender difference.

An objective of many functional genomics studies is to estimate treatment-induced changes in gene expression. cDNA arrays interrogate each tissue sample for the levels of mRNA for hundreds to tens of thousands of genes, and the use of this technology leads to a multitude of treatment contrasts. By-gene hypotheses tests evaluate the evidence supporting no effect, but selecting a significance level requires dealing with the multitude of comparisons. The p-values from these tests order the genes such that a p-value cutoff divides the genes into two sets. Ideally one set would contain the affected genes and the other would contain the unaffected genes. However, the set of genes selected as affected will have false positives, i.e., genes that are not affected by treatment. Likewise, the other set of genes, selected as unaffected, will contain false negatives, i.e., genes that are affected. A plot of the observed p-values (1 - p) versus their expectation under a uniform [0, 1] distribution allows one to estimate the number of true null hypotheses. With this estimate, the false positive rates and false negative rates associated with any p-value cutoff can be estimated. When computed for a range of cutoffs, these rates summarize the ability of the study to resolve effects. In our work, we are more interested in selecting most of the affected genes rather than protecting against a few false positives. An optimum cutoff, i.e., the best set given the data, depends upon the relative cost of falsely classifying a gene as affected versus the cost of falsely classifying a gene as unaffected. We select the cutoff by a decision-theoretic method analogous to methods developed for receiver operating characteristic curves. In addition, we estimate the false discovery rate and the false nondiscovery rate associated with any cutoff value. Two functional genomics studies that were designed to assess a treatment effect are used to illustrate how the methods allowed the investigators to determine a cutoff to suit their research goals.

Motivation: A microarray experiment is a multi-step process, and each step is a potential source of variation. There are two major sources of variation: biological variation and technical variation. This study presents a variance-components approach to investigating animal-to-animal, between-array, within-array and day-to-day variations for two data sets. The first data set involved estimation of technical variances for pooled control and pooled treated RNA samples. The variance components included between-array, and two nested within-array variances: between-section (the upper- and lower-sections of the array are replicates) and within-section (two adjacent spots of the same gene are printed within each section). The second experiment was conducted on four different weeks. Each week there were reference and test samples with a dye-flip replicate in two hybridization days. The variance components included week-to-week, animal-to-animal and between-array and within-array variances., Results: We applied the linear mixed-effects model to quantify different sources of variation. In the first data set, we found that the between-array variance is greater than the between-section variance, which, in turn, is greater than the within-section variance. In the second data set, for the reference samples, the week-to-week variance is larger than the between-array variance, which, in turn, is slightly larger than the within-array variance. For the test samples, the week-to-week variance has the largest variation. The animal-to-animal variance is slightly larger than the between-array and within-array variances. However, in a gene-by-gene analysis, the animal-to-animal variance is smaller than the between-array variance in four out of five housekeeping genes. In summary, the largest variation observed is the week-to-week effect. Another important source of variability is the animal-to-animal variation. Finally, we describe the use of variance-component estimates to determine optimal numbers of animals, arrays per animal and sections per array in planning microarray experiments.

Breast development, one of the first signs of puberty, is closely associated with age at menarche; and early menarche is in turn a well-established risk factor for female breast cancer. We examined the relationships between the onset of puberty and gene variants for certain enzymes that regulate hormone metabolism among 137 healthy nine-year-old girls from two pediatric clinics. High-activity CYP17 alleles, involved in estrogen formation, and high-activity CYP1A2 and CYP1B1 alleles, whose gene products metabolize estradiol, were not associated with pubertal stage. High activity CYP3A4, but not CYP3A5, which primarily metabolizes testosterone, showed a striking association with the onset of puberty (adjusted odds ratio, 3.21; 95% confidence interval, 1.62-6.89 for the genotype 0-1-2 rapid alleles). Of the homozygous CYP3A4*1B/1B girls, 90% had reached puberty; whereas, for the low-activity homozygous CYP3A4*1A/1A individuals, only 40% had done so. In heterozygotes, 56% had reached puberty. CYP1B1, CYP3A4, and CYP3A5 rapid variants were more common in African-American than in Hispanic or Caucasian girls.

An increasing number of both clinical and experimental studies have shown an association between deficiencies of the dietary sources of physiological methyl groups and cancer formation. The critical metabolic intermediate in a determination of methylation status is S-adenosylmethionine (SAM), the body's chief physiological methyl donor. The present study examined the erythrocyte levels of SAM and of its demethylated metabolite S-adenosylhomocysteine (SAH) in 66 normal subjects (33 men and 33 women), whose blood had been drawn at days 0, 7 and 14 of an experimental period during which they were fed a fixed diet. The plasma levels of homocysteine (HCys) were also determined in the same individuals at the same time points. In addition, the subjects had completed a food frequency questionnaire (FFQ) describing their usual dietary habits before being placed on the dietary regimen. The blood levels of SAM, SAH, and HCys were compared with the dietary intakes of folate, vitamin B(6), fats, and calories, both prior to using the FFQ and during the experimental period. The results indicated that the intraindividual differences were very low, but the interindividual differences were large for the values of SAM, SAH, SAM:SAH ratios, and HCys. Interestingly, the blood levels of SAM and HCys were higher in men than in women and generally showed the expected correlations with folate intake i.e., positive for SAM and negative for HCys. The intakes of folate (276 microg/days) and B(6) (1.87 mg/days) during the 2-week experimental period were relatively low compared with the usual intakes of these vitamins (375 and 2.06 mg/day for folate and B(6), respectively) but correlated well with each other during both periods of the study. Surprisingly, both men and women showed a significant rise in erythrocyte SAM:SAH ratios as a function of age. In addition, the combined results from men and women, even adjusted for gender, showed significant correlations between HCys and both weight and body mass index. On the other hand, during the experimental period of the study, blood SAM levels were inversely correlated with the intakes of both fat and calories when the data for both men and women were combined and adjusted for gender. The blood determinations of SAM and related compounds showed a high degree of reproducibility over time and thus appear to provide a practical marker of methylation status for the assessment of cancer risk from dietary, environmental, and genetic factors.

Cancer mortality for the period from October 1950 through May 1992 was analyzed in atomic bomb survivors exposed in utero. Risk estimates for this group were also compared to those for survivors who were less than 6 years old at the time of exposure. The cohorts studied include 807 in utero survivors and 5,545 persons exposed during childhood with all members of both groups having estimated doses of at least 0.01 Sv. The comparison group includes 10,453 persons with little (<0.01 Sv) or no exposure. Analyses were limited mainly to cancer deaths occurring between the ages of 17 and 46. Only 10 cancer deaths were observed among persons exposed in utero. However, there is a significant dose response with an estimate of excess relative risk per sievert (ERR/Sv) of 2.1 (90% confidence interval of 0.2 to 6.0). This estimate does not differ significantly from that for survivors exposed during the first 5 years of life. The cancer deaths among those exposed in utero involved leukemia (2), female-specific organs (3) and digestive organs (5). Nine deaths occurred in females, where the excess risk for all solid cancers has a 90% confidence interval on the ERR/Sv of 1.6 to 17. Significant risks were found for cancers of the digestive system [90% confidence interval (CI) on the ERR/Sv of 0.7 to 20] and for female-specific cancers (90% CI on the ERR/Sv of 0.7 to 42). These risks do not differ significantly from those seen in females exposed as children. There were no deaths from solid cancer in men exposed in utero. The ERR/Sv has an upper 95% confidence bound of 2.5 which does not differ from that for exposed children, where the upper 95% confidence bound is 1.5. The sexes differ even when female-specific cancers are excluded from the comparison. Although there were only two leukemia deaths among those exposed in utero, the leukemia death rate for this group is higher than that in the comparison group (P = 0.054) with an exposure effect that is about half the magnitude and not significantly different from that seen after childhood exposure (P = 0.103). However, there is no evidence of a dose response among those exposed in utero because no high-dose leukemia deaths were observed, a result that differs considerably from that for those exposed as children. There is a need for caution in the interpretation of these data. First, the number of cancer deaths is small; second, there is unexplained significant difference in the mortality from solid cancer between the sexes; and third, the excess of leukemia in those exposed in utero is not reflected in an increasing dose response.

A single genetic factor may affect the realization of several enzymes. To investigate the extent of pattern pleiotropy in the mouse, the activities of 28 enzymes in livers and brains from an inbred stock of C57BL/6JNctr and five F1 stocks heterozygous for known electrophoretic variants were measured. Five congenic backcross stocks of C57BL/6J, each homozygous for one or more electrophoretic markers, were mated with C57BL/6JNctr to construct the heterozygous variant F1 stocks. One of the five F1 stocks had no enzyme activities significantly different from those of C57BL/6JNctr, while two had one enzyme, one had four enzymes, and another had six enzymes with activities that were significantly different from those of C57BL/6JNctr. The latter two F1 stocks with multiple activity differences were those having the largest proportion of their genome of donor origin. Two of the F1 stocks were different from each other for one enzyme, and two were different for another enzyme. These differences and the relationship of these enzyme activities to the variant genes suggest that several genetic factors may affect an enzyme's realization.

Female C3HeB/FeJ mice were fed diethylstilboestrol (DES) at a dietary concentration of 100 ppb beginning at 6 wk of age. Several oestrogen-sensitive target organs (uterus, vagina, bone and mammary gland) were removed and examined histologically when mice died, became moribund, were killed at scheduled intervals or were removed because of presumptive mammary tumours (palpable mass having a 1-cm diameter). Oestrogen-sensitive histological observations for which there was less than a 100% prevalence and/or severity included uterine fibrosis and glandular hyperplasia, vaginal mucoid stroma and keratinization, mammary adenocarcinomas and osseous trabecular proliferation or marrow fibrosis. Mice from this treated population were grouped according to the specific grade of uterine glandular hyperplasia. Each mouse having a given grade of hyperplasia was matched with a mouse that failed to develop glandular hyperplasia and was fed the 100 ppb DES diet for approximately the same time period. This procedure provided three sets of matched pairs (no hyperplasia v. grade 0; no hyperplasia v. grade 1 and no hyperplasia v. grade 2). Pairwise comparisons were then made in these groups for each of the other oestrogen endpoints. Within each set of matched pairs, mice with glandular hyperplasia had a greater prevalence and/or severity of uterine fibrosis and vaginal mucoid stroma and vaginal keratinization than those without hyperplasia and differences within matched sets were greater as the severity of hyperplasia increased. In contrast, the prevalence of osseous trabecular proliferation or marrow fibrosis were equivalent across all grades of glandular hyperplasia and the prevalence of mammary adenocarcinomas was inversely related to the severity of glandular hyperplasia. These data suggest the existence of a subpopulation of inbred mice that is especially sensitive to DES exposure for uterine and vaginal endpoints and highly insensitive to mammary tumour induction.

The responsiveness of peripheral blood lymphocytes to allogenic antigens in mixed lymphocyte culture (MLC) was measured in 139 atomic-bomb survivors. The study revealed a significant decrease in MLC response with increasing dose of previous radiation exposure. This decline was marked in the survivors who were older than 15 at the time of the bomb (ATB). The results suggest a possible relationship between the recovery of T-cell-related function and the thymic function which processes mature T cells for the immune system. Thus it may be that in the advanced age ATB group, the thymus function had started to involute, allowing less recovery of T-cell function compared to young survivors who had adequate processing T-cell activity.