Evaluation of the Tg.AC assay: specificity testing with three noncarcinogenic pharmaceuticals that induce selected stress gene promoters in vitro and the inhibitory effects of solvent components

26-Week Dermal Oncogenicity Study Evaluating Pure trans-Capsaicin in Tg.AC Hemizygous Mice (FBV/N)

The objective of this study was to assess the oncogenic potential of trans-capsaicin when administered weekly via topical application to the dorsal skin of Tg.AC mice for 26 weeks. Male and female Tg.AC mice (25 mice/sex/group) received dose formulations containing trans-capsaicin dissolved in diethylene glycol monoethyl ether (DGME). The positive control was tetradecanoylphorbol-13-acetate (TPA) dissolved in DGME. Appropriate controls, including a topical lidocaine local anesthetic pretreatment (4% w/ w), were maintained. All groups were dosed once weekly, except for the TPA group, which was dosed twice per week. Analysis of the macroscopic observations after the final sacrifice revealed no noteworthy treatment-related findings, with the exception of dermal masses that were randomly dispersed throughout all treatment groups for both males and females. The frequency of dermal masses in the capsaicin-treated groups (at a dose level of up to 102 mg/kg and an application rate of 25.6 mg/cm2/kg/week) was not elevated in comparison to either concurrent vehicle or untreated controls. In contrast, a notable increase in the frequency of dermal masses was observed in the TPA-treated mice compared to both the concurrent vehicle and untreated controls. Dermal application of capsaicin resulted in no increased incidence of preneoplastic or neoplastic skin lesions. In contrast, over half the male and female mice exposed to TPA had multiple skin papillomas; the majority of the TPA-treated animals either died early or was humanely euthanized due to tumor load. Spontaneously occurring neoplasms were not appreciably increased in capsaicin-treated animals. Capsaicin-related non-neoplastic microscopic findings were seen sporadically in both genders and included acanthosis, hyperkeratosis/parakeratosis (primarily females), epidermal crusts, subepidermal fibrosis, epidermal ulcerations/erosions, and chronic-active inflammation. There was no evidence of a dose response in either the incidence or severity of these findings. The lidocaine- (at a dose level of 162 mg/kg and at an application rate of 40.5 mg/cm2/kg/week) and DGME-treated (at a dose level of 4.0 g/kg and at an application rate of 1 g/cm2/kg/week) control groups also did not display any evidence of increase in dermal masses. Based on these results, trans-capsaicin, lidocaine, and DGME should be considered nononcogenic in the Tg.AC mouse dermal model.

Adaptation to ER stress as a driver of malignancy and resistance to therapy in human melanoma

Primary events in the development of melanoma are gradually being pieced together but a more complete picture of evolution of the disease requires additional understanding of secondary events consequent on initiation of the malignancy. Arguably, the most important driver of secondary events is signals resulting from induction of endoplasmic reticulum (ER) stress for example due to hypoglycaemia and anoxia. This may result in a variety of responses such as apoptosis, autophagy and senescence depending on the initiating event and cell type but most importantly it may result in progression of melanoma due to adaptation and selection of melanoma cells to ER stress. The following reviews what is known about the adaptive responses and how this information may provide new initiatives in treatment of the disease.

Evaluation of nine strategies for analyzing a cDNA toxicology microarray data set

Microarray technology with two-color-based cDNA is commonly used for drug development, as well as for a much broader range of biomedical research. Among all the applications, two-group design is probably most commonly used for comparing, e.g., normal and abnormal tissue samples, tissues treated and untreated, or individuals responded and not responded to a drug. Despite the apparent simplicity, there are numerous methods for analyzing such data in a statistically rigorous manner. Here, we discuss nine different analytical strategies, each of which is derived under a set of "reasonable" assumptions. Some of them resemble methods developed for different contexts. In the absence of the truth, investigators should consider underlying assumptions before taking one or more of these strategies for analyzing data from a particular experiment. The issue here is what are the similarities and differences between these analytical strategies. We present these strategies in the context of an actual microarray experiment performed at the U.S. Food and Drug Administration.