Motivating factors for attendance of skin cancer screenings.

Skin cancer screenings have the potential to reduce melanoma morbidity and mortality, especially if participants are from high-risk subgroups. Little is known about targeting these subgroups. This study investigates the attendance motivations of screening participants, including men 50 years of age and older, who are at heightened risk.

Longitudinal assessment of the nevus phenotype in a melanoma kindred.

Phenotypic characteristics of members of a melanoma prone kindred with a V126D CDKN2A gene mutation were monitored over approximately 15 y. Thirty-eight previously studied subjects were recruited. Participants underwent a complete skin examination by the same dermatologist who examined them initially.

Clinical germline genetic testing for melanoma.

Clinical genetic testing for mutations in CDKN2A (cyclin-dependent kinase inhibitor 2A), a melanoma susceptibility gene, is now available. The International Melanoma Genetics Consortium advocates that genetic testing for CDKN2A should be done only as part of a research protocol. Experience with genetic testing for other cancer-susceptibility genes indicates that CDKN2A testing has enormous potential for the prevention and detection of a deadly disease.

Novel application of a fibrin cell block method to evaluate melanocytic cell populations.

Confirming melanocytic lineage and purity is important for experiments using cultured human melanocytes. The objective of this study was to develop a simple, reliable method to evaluate and archive cultured melanocytic cells. Melanocytes were isolated from adult skin biopsies or from neonatal foreskins using standard culturing methods.

Multivariate exploratory tools for microarray data analysis.

The ultimate success of microarray technology in basic and applied biological sciences depends critically on the development of statistical methods for gene expression data analysis. The most widely used tests for differential expression of genes are essentially univariate. Such tests disregard the multidimensional structure of microarray data.

Histopathologic recognition of involved margins of lentigo maligna excised by staged excision: an interobserver comparison study.

Objectives: To assess interobserver and intraobserver concordance for identifying positive and negative margins in staged excisions of lentigo maligna and lentigo maligna melanoma and to determine if control biopsy specimens are useful to improve concordance.

Design: Retrospective, randomized interobserver and intraobserver comparison study of archived pathologic specimens. The study was conducted in 3 phases, and slides were evaluated blindly and independently by 5 pathologists: in phase 1, all slides were randomized and diagnosed as positive or negative.

An alternative stochastic model of generation of oligodendrocytes in cell culture.

According to our previous model, oligodendrocyte--type 2 (O-2A) astrocyte progenitor cells become competent for differentiation in vitro after they complete a certain number of critical mitotic cycles. After attaining the competency to differentiate, progenitor cells divide with fixed probability p in subsequent cycles. The number of critical cycles is random; analysis of data suggests that it varies from zero to two.

Estimating an oncogenetic tree when false negatives and positives are present.

Human solid tumors are believed to be caused by a sequence of genetic abnormalities arising in the tumor cells. The understanding of these sequences is extremely important for improving cancer treatment. Models for the occurrence of the abnormalities include linear structure and a recently proposed tree-based structure.

Variable selection and pattern recognition with gene expression data generated by the microarray technology.

Lack of adequate statistical methods for the analysis of microarray data remains the most critical deterrent to uncovering the true potential of these promising techniques in basic and translational biological studies. The popular practice of drawing important biological conclusions from just one replicate (slide) should be discouraged. In this paper, we discuss some modern trends in statistical analysis of microarray data with a special focus on statistical classification (pattern recognition) and variable selection.

Measures of familial aggregation as predictors of breast-cancer risk.

Background: Several measures of familial disease aggregation have been proposed, but only a few of these are designed to be implemented at the individual level. We evaluate two of them in the context of breast-cancer incidence.

Methods: A population-based cohort consisting of 114 429 women born between 1874 and 1931 and at risk for breast cancer after 1965 was identified by linking the Utah Population Data Base and the Utah Cancer Registry.

Probability of finding HLA-mismatched related or unrelated marrow or cord blood donors.

Given recent improvements in the technology of transplantation and histocompatibility testing, it is now possible to contemplate using related or unrelated allogeneic hematologic stem cell donors with high degrees of HLA disparity. This paper is a follow-up of an earlier publication on the probability of finding a matched donor (Transplantation 60:778-783, 1995) and addresses the probability of finding a partially mismatched donor. Assuming that a four of six antigen HLA-A, -B, -DR match is acceptable, it is possible to find unrelated donors for patients of any race from a putative registry with fewer than 10,000 potential donors.

Lifestyle and colon cancer: an assessment of factors associated with risk.

Studies of the etiology of colon cancer indicate that it is strongly associated with diet and lifestyle factors. The authors use data from a population-based study conducted in northern California, Utah, and Minnesota in 1991-1995 to determine lifestyle patterns and their association with colon cancer. Data obtained from 1,993 cases and 2,410 controls were grouped by using factor analyses to describe various aspects of lifestyle patterns.

Identifiability of parameters in the Yakovlev-Polig model of carcinogenesis.

The paper discusses the problem of identifiability for two versions of a two-stage model of carcinogenesis recently introduced by Yakovlev and Polig. In this model, cell killing is allowed to compete with tumor promotion. In the first version of the Yakovlev-Polig model, which is referred to as Model 1, cell killing starts immediately after a carcinogen is administered.

A stochastic model of temporally regulated generation of oligodendrocytes in cell culture.

The results of our previous analyses suggest that O-2A progenitor cells become competent for differentiation in vitro after they complete a certain number of critical mitotic cycles. The number of critical cycles varies from clone to clone and should be thought of as a random variable. We propose an approach to the analysis of oligodendrocyte generation in vitro based on a stochastic model allowing for an arbitrary distribution of this random variable with a finite support.

The shape of the hazard function in breast carcinoma: curability of the disease revisited.

Background: The question of curability of breast carcinoma remains controversial. Because the probability of cure essentially is an asymptotic notion, the corresponding estimation problems call for special statistical methods. Such methods should account for an intimate connection between the probability of cure and the shape of the hazard function.

Statistical methods in epidemiology: a comparison of statistical methods to analyze dose-response and trend analysis in epidemiologic studies.

Evaluation of various statistical methods to describe accurately associations between exposures and disease are constantly being explored. Spline regression has been suggested as an alternative to using categorized variables in studies of disease etiology, as it uses all data points to estimate the shape of the association between a given exposure and disease outcome. It has been proposed that this method is especially beneficial when associations are concentrated in a small range of the overall distribution of the exposure.

Modeling insight into spontaneous regression of tumors.

The phenomenon of spontaneous regression of benign and malignant tumors is well documented in the literature and is commonly attributed to the induction of apoptosis or activation of the immune system. We attempt at evaluating the role of random effects in this phenomenon. To this end, we consider a stochastic model of tumor growth which is descriptive of the fact that tumors are inherently prone to spontaneous regression due to the random nature of their development.

Quantitative insight into proliferation and differentiation of oligodendrocyte type 2 astrocyte progenitor cells in vitro.

As part of our attempts at understanding fundamental principles that underlie the generation of nondividing terminally differentiated progeny from dividing precursor cells, we have developed approaches to a quantitative analysis of proliferation and differentiation of oligodendrocyte type 2 astrocyte (O-2A) progenitor cells at the clonal level. Owing to extensive previous studies of clonal differentiation in this lineage, O-2A progenitor cells represent an excellent system for such an analysis. Previous studies have resulted in two competing hypotheses; one of them suggests that progenitor cell differentiation is symmetric, the other hypothesis introduces an asymmetric process of differentiation.

Eating patterns and risk of colon cancer.

Colon cancer has been associated with several nutrients and foods. The authors used data from a population-based study conducted in Northern California, Utah, and Minnesota to examine associations between dietary eating patterns and risk of developing colon cancer. Through factor analysis, detailed dietary intake data obtained from 1,993 cases (diagnosed in 1991-1994) and 2,410 controls were grouped into factors that were evaluated for relations with lifestyle characteristics and colon cancer risk.

A model of multiple tumorigenesis allowing for cell death: quantitative insight into biological effects of urethane.

This paper considers the utility of a stochastic model of carcinogenesis proposed by Yakovlev and Polig [Math. Biosci. 132 (1996) 1-33] in the analysis of experimental data on multiple tumors induced by chemical carcinogens.