Quantitative analysis of p53-targeted gene expression and visualization of p53 transcriptional activity following intratumoral administration of adenoviral p53 in vivo

Isotretinoin treatment upregulates the expression of p53 in the skin and sebaceous glands of patients with acne vulgaris

The transcriptomic regulation induced by isotretinoin (13-cis retinoic acid) is still a matter of debate as short-term exposures of immortalized sebocytes with isotretinoin produced conflicting results. Based on translational evidence, it has been hypothesized that oral isotretinoin treatment upregulates the expression of the transcription factor p53. Twenty-five patients suffering from acne vulgaris were treated with isotretinoin (0.6 mg/kg body weight) for 6 weeks. Biopsies from back skin were taken before and after isotretinoin treatment for the determination of p53 expression by immunohistochemical staining, quantification of p53 protein concentration by enzyme-linked immunosorbent assay and TP53 gene expression by quantitative reverse transcription real time PCR. Fifteen socio-demographically cross-matched healthy volunteers served as controls. Isotretinoin treatment significantly increased the nuclear expression of p53 in sebaceous glands of treated patients compared to pre-treatment levels and p53 levels of untreated controls. Furthermore, the p53 protein and gene expression significantly increased in the skin after treatment. The magnitude of p53 expression showed an inverse correlation to acne severity score and body mass index. Under clinical conditions, isotretinoin induced the expression of p53, which controls multiple transcription factors involved in the pathogenesis of acne vulgaris including FoxO1, androgen receptor and critical genes involved in the induction of autophagy and apoptosis. Increased p53-FoxO1 signalling enhanced by systemic isotretinoin treatment explains the underlying transcriptomic changes causing sebum suppression but also the adverse effects associated with systemic isotretinoin therapy.

Structure-Based Discovery of MDM2/4 Dual Inhibitors that Exert Antitumor Activities against MDM4-Overexpressing Cancer Cells

Despite recent clinical progress in peptide-based dual inhibitors of MDM2/4, small-molecule ones with robust antitumor activities remain challenging. To tackle this issue, 31 (YL93) was structure-based designed and synthesized, which had MDM2/4 binding K_i values of 1.1 and 642 nM, respectively. In three MDM4-overexpressing cancer cell lines harboring wild-type p53, 31 shows improved cell growth inhibition activities compared to RG7388, an MDM2-selective inhibitor in late-stage clinical trials. Mechanistic studies show that 31 increased cellular protein levels of p53 and p21 and upregulated the expression of p53-targeted genes in RKO cells with MDM4 amplification. In addition, 31 induced cell-cycle arrest and apoptosis in western blot and flow cytometry assays. Taken together, dual inhibition of MDM2/4 by 31 elicited stronger antitumor activities in vitro compared to selective MDM2 inhibitors in wild-type p53 and MDM4-overexpressing cancer cells.

Autoregulated expression of p53 from an adenoviral vector confers superior tumor inhibition in a model of prostate carcinoma gene therapy

Alternative treatments for cancer using gene therapy approaches have shown promising results and some have even reached the marketplace. Even so, additional improvements are needed, such as employing a strategically chosen promoter to drive expression of the transgene in the target cell. Previously, we described viral vectors where high-level transgene expression was achieved using a p53-responsive promoter. Here we present an adenoviral vector (AdPGp53) where p53 is employed to regulate its own expression and which outperforms a traditional vector when tested in a model of gene therapy for prostate cancer. The functionality of AdPGp53 and AdCMVp53 were compared in human prostate carcinoma cell lines. AdPGp53 conferred greatly enhanced levels of p53 protein and induction of the p53 target gene, p21, as well as superior cell killing by a mechanism consistent with apoptosis. DU145 cells were susceptible to induction of death with AdPGp53, yet PC3 cells were quite resistant. Though AdCMVp53 was shown to be reliable, extremely high-level expression of p53 offered by AdPGp53 was necessary for tumor suppressor activity in PC3 and DU145. In situ gene therapy experiments revealed tumor inhibition and increased overall survival in response to AdPGp53, but not AdCMVp53. Upon histologic examination, only AdPGp53 treatment was correlated with the detection of both p53 and TUNEL-positive cells. This study points to the importance of improved vector performance for gene therapy of prostate cancer.

Computational study of p53 regulation via the chemical master equation

A stochastic model of cellular p53 regulation was established in Leenders, and Tuszynski (2013 Front. Oncol. 3 1-16) to study the interactions of p53 with MDM2 proteins, where the stochastic analysis was done using a Monte Carlo approach. We revisit that model here using an alternative scheme, which is to directly solve the chemical master equation (CME) by an adaptive Krylov-based finite state projection method that combines the stochastic simulation algorithm with other computational strategies, namely Krylov approximation techniques to the matrix exponential, divide and conquer, and aggregation. We report numerical results that demonstrate the extend of tackling the CME with this combination of tools.

Visualization of intrathoracically disseminated solid tumors in mice with optical imaging by telomerase-specific amplification of a transferred green fluorescent protein gene

Currently available methods for detection of tumors in vivo such as X-ray, computed tomography, and ultrasonography are noninvasive and have been well studied; the images, however, are not specific for tumors. Direct optical imaging of tumor cells in vivo that can clearly distinguish them from surrounding normal tissues may be clinically useful. Here, we describe a new approach to visualizing tumors whose fluorescence can be detected using tumor-specific replication-competent adenovirus (OBP-301, Telomelysin) in combination with Ad-GFP, a replication-deficient adenovirus expressing green fluorescent protein (GFP). Human telomerase reverse transcriptase is the catalytic subunit of telomerase, which is highly active in cancer cells but quiescent in most normal somatic cells. We constructed an adenovirus 5 vector in which the human telomerase reverse transcriptase promoter element drives expression of E1A and E1B genes linked with an internal ribosome entry site and showed that OBP-301 replicated efficiently in human cancer cells, but not in normal cells such as human fibroblasts. When the human lung and colon cancer cell lines were infected with Ad-GFP at a low multiplicity of infection, GFP expression could not be detected under a fluorescence microscope; in the presence of OBP-301, however, Ad-GFP replicated in these tumor cells and showed strong green signals. In contrast, coinfection with OBP-301 and Ad-GFP did not show any signals in normal cells such as fibroblasts and vascular endothelial cells. We also found that established subcutaneous tumors could be visualized after intratumoral injection of OBP-301 and Ad-GFP. A549 human lung tumors and SW620 human colon tumors transplanted into BALB/c nu/nu mice were intratumorally injected with 8 x 10(5) plaque-forming units of Ad-GFP in combination with 8 x 10(6) plaque-forming units of OBP-301. Within 3 days of treatment, the fluorescence of the expressed GFP became visible by a three-chip color cooled charged-coupled device camera in these tumors, whereas intratumoral injection of Ad-GFP alone could not induce GFP fluorescence. Moreover, intrathoracic administration of Ad-GFP and OBP-301 could visualize disseminated A549 tumor nodules in mice after intrathoracic implantation. Our results indicate that intratumoral or intrathoracic injection of Ad-GFP in combination with OBP-301 might be a useful diagnostic method that provides a foundation for future clinical application.