Repetitive DNA alterations in human skin cancers

GLI2 induces genomic instability in human keratinocytes by inhibiting apoptosis

Abnormal Sonic Hedgehog signalling leads to increased transcriptional activation of its downstream effector, glioma 2 (GLI2), which is implicated in the pathogenesis of a variety of human cancers. However, the mechanisms underlying the tumorigenic role of GLI2 remain elusive. We demonstrate that overexpression of GLI2-β isoform, which lacks the N-terminal repressor domain (GLI2ΔN) in human keratinocytes is sufficient to induce numerical and structural chromosomal aberrations, including tetraploidy/aneuploidy and chromosomal translocations. This is coupled with suppression of cell cycle regulators p21^WAF1/CIP1 and 14-3-3σ, and strong induction of anti-apoptotic signalling, resulting in a reduction in the ability to eliminate genomically abnormal cells. Overexpression of GLI2ΔN also rendered human keratinocytes resistant to UVB-mediated apoptosis, whereas inhibition of B-cell lymphoma 2 (BCL-2) restored endogenous (genomic instability (GIN)) and exogenous (UVB) DNA damage-induced apoptosis. Thus, we propose that ectopic expression of GLI2 profoundly affects the genomic integrity of human epithelial cells and contributes to the survival of progenies with genomic alterations by deregulating cell cycle proteins and disabling the apoptotic mechanisms responsible for their elimination. This study reveals a novel role for GLI2 in promoting GIN, a hallmark of human tumors, and identifies potential mechanisms that may provide new opportunities for the design of novel forms of cancer therapeutic strategies.

Evasion of p53 and G2/M checkpoints are characteristic of Hh-driven basal cell carcinoma

Basal cell carcinoma (BCC), the most common type of cancer, is characterized by aberrant Hedgehog (Hh) pathway activity. Mutations in pathway components, such as PATCHED1 (PTCH1), are commonly found in BCC. While the tumor suppressor role of PTCH1 in BCC is well established, how Hh pathway activation disrupts normal skin homeostasis to promote BCC formationremains poorly understood. Like Ptc1, Sufu is a major negative regulator of the Hh pathway. Previously, we showed that inactivation of Sufu in the skin does not result in BCC formation. Why loss of Ptc1, but not Sufu, in the epidermis induces BCC formation is unclear. In this report, we utilized gene expression profiling to identify biological pathways and processes that distinguish Sufu from Ptc1 mutants, and discovered a novel role for Sufu in cell cycle regulation. We demonstrated that the Hh pathway activation inSufu and Ptc1 mutant skin is associated with abnormal cell cycle entry, ectopic expression of D-type cyclins and increasedDNA damage. However, despite the presence of DNA damage, p53 stabilization was impaired in the mutant skin. Alternative mechanism to halt genomic instability is the activation of G2/M cell cycle checkpoint, which can occur independent of p53. We found that while Ptc1 mutant cells continue to cycle, which would favor genomic instability, loss of Sufu results in G2/M cell cycle arrest.This finding may explain why inactivation of Sufu is not sufficient to drive BCC formation. Taken together, these studies revealed a unique role for Sufu in G2/M phase progression, and uncovered the molecular and cellular features associated with Hh-driven BCC.

Genomic instability in human actinic keratosis and squamous cell carcinoma

OBJECTIVE

To compare the repetitive DNA patterns of human actinic keratoses and squamous cell carcinomas to determine the genetic alterations that are associated with malignant transformation.

INTRODUCTION

Cancer cells are prone to genomic instability, which is often due to DNA polymerase slippage during the replication of repetitive DNA and to mutations in the DNA repair genes. The progression of benign actinic keratoses to malignant squamous cell carcinomas has been proposed by several authors.

MATERIAL AND METHODS

Eight actinic keratoses and 24 squamous cell carcinomas (SCC), which were pair-matched to adjacent skin tissues and/or leucocytes, were studied. The presence of microsatellite instability (MSI) and the loss of heterozygosity (LOH) in chromosomes 6 and 9 were investigated using nine PCR primer pairs. Random Amplified Polymorphic DNA patterns were also evaluated using eight primers.

RESULTS

MSI was detected in two (D6S251, D9S50) of the eight actinic keratosis patients. Among the 8 patients who had squamous cell carcinoma-I and provided informative results, a single patient exhibited two LOH (D6S251, D9S287) and two instances of MSI (D9S180, D9S280). Two LOH and one example of MSI (D6S251) were detected in three out of the 10 patients with squamous cell carcinoma-II. Among the four patients with squamous cell carcinoma-III, one patient displayed three MSIs (D6S251, D6S252, and D9S180) and another patient exhibited an MSI (D9S280). The altered random amplified polymorphic DNA ranged from 70% actinic keratoses, 76% squamous cell carcinoma-I, and 90% squamous cell carcinoma-II, to 100% squamous cell carcinoma-III.

DISCUSSION

The increased levels of alterations in the microsatellites, particularly in D6S251, and the random amplified polymorphic DNA fingerprints were statistically significant in squamous cell carcinomas, compared with actinic keratoses.

CONCLUSION

The overall alterations that were observed in the repetitive DNA of actinic keratoses and squamous cell carcinomas indicate the presence of a spectrum of malignant progression.

Cancer biomarker discovery: the entropic hallmark

Background

It is a commonly accepted belief that cancer cells modify their transcriptional state during the progression of the disease. We propose that the progression of cancer cells towards malignant phenotypes can be efficiently tracked using high-throughput technologies that follow the gradual changes observed in the gene expression profiles by employing Shannon's mathematical theory of communication. Methods based on Information Theory can then quantify the divergence of cancer cells' transcriptional profiles from those of normally appearing cells of the originating tissues. The relevance of the proposed methods can be evaluated using microarray datasets available in the public domain but the method is in principle applicable to other high-throughput methods.

Methodology/Principal Findings

Using melanoma and prostate cancer datasets we illustrate how it is possible to employ Shannon Entropy and the Jensen-Shannon divergence to trace the transcriptional changes progression of the disease. We establish how the variations of these two measures correlate with established biomarkers of cancer progression. The Information Theory measures allow us to identify novel biomarkers for both progressive and relatively more sudden transcriptional changes leading to malignant phenotypes. At the same time, the methodology was able to validate a large number of genes and processes that seem to be implicated in the progression of melanoma and prostate cancer.

Conclusions/Significance

We thus present a quantitative guiding rule, a new unifying hallmark of cancer: the cancer cell's transcriptome changes lead to measurable observed transitions of Normalized Shannon Entropy values (as measured by high-througput technologies). At the same time, tumor cells increment their divergence from the normal tissue profile increasing their disorder via creation of states that we might not directly measure. This unifying hallmark allows, via the the Jensen-Shannon divergence, to identify the arrow of time of the processes from the gene expression profiles, and helps to map the phenotypical and molecular hallmarks of specific cancer subtypes. The deep mathematical basis of the approach allows us to suggest that this principle is, hopefully, of general applicability for other diseases.

Different DNA methylation patterns detected by the Amplified Methylation Polymorphism Polymerase Chain Reaction (AMP PCR) technique among various cell types of bulls

Background

The purpose of this study was to apply an arbitrarily primed methylation sensitive polymerase chain reaction (PCR) assay called Amplified Methylation Polymorphism Polymerase Chain Reaction (AMP PCR) to investigate the methylation profiles of somatic and germ cells obtained from Holstein bulls.

Methods

Genomic DNA was extracted from sperm, leukocytes and fibroblasts obtained from three bulls and digested with a methylation sensitive endonuclease (HpaII). The native genomic and enzyme treated DNA samples were used as templates in an arbitrarily primed-PCR assay with 30 sets of single short oligonucleotide primer. The PCR products were separated on silver stained denaturing polyacrylamide gels. Three types of PCR markers; digestion resistant-, digestion sensitive-, and digestion dependent markers, were analyzed based on the presence/absence polymorphism of the markers between the two templates.

Results

Approximately 1,000 PCR markers per sample were produced from 27 sets of primer and most of them (>90%) were digestion resistant markers. The highest percentage of digestion resistant markers was found in leukocytic DNA (94.8%) and the lowest in fibroblastic DNA (92.3%, P ≤ 0.05). Spermatozoa contained a higher number of digestion sensitive markers when compared with the others (3.6% vs. 2.2% and 2.6% in leukocytes and fibroblasts respectively, P ≤ 0.05).

Conclusions

The powerfulness of the AMP PCR assay was the generation of methylation-associated markers without any prior knowledge of the genomic sequence. The data obtained from different primers provided an overview of genome wide DNA methylation content in different cell types. By using this technique, we found that DNA methylation profile is tissue-specific. Male germ cells were hypomethylated at the HpaII locations when compared with somatic cells, while the chromatin of the well-characterized somatic cells was heavily methylated when compared with that of the versatile somatic cells.

Deregulation of the tumour suppressor genes p14(ARF), p15(INK4b), p16(INK4a) and p53 in basal cell carcinoma

BACKGROUND

Basal cell carcinoma (BCC) is a locally aggressive slowly growing tumour that rarely metastasizes and is mostly seen in older members of the population.

OBJECTIVES

To determine the involvement of the tumour suppressor genes p14(ARF), p15(INK4b), p16(INK4a) and p53 in BCC.

METHODS

We investigated the integrity of the CDKN2A locus in 15 BCC samples by analysing the presence of allelic imbalance/loss of heterozygosity (LOH). Moreover, we studied the mRNA expression levels of the tumour suppressor genes p14(ARF), p15(INK4b), p16(INK4a) and p53 in the BCC samples and compared them with mRNA levels in the corresponding normal tissue. The presence of mutations was examined by sequencing for exons 1a and 2 of p16(INK4a).

RESULTS

We found LOH in one BCC sample for the marker D9S1748. A polymorphism (G442A) of exon 2 was detected in three cases. p14(ARF), p15(INK4b) and p53 presented high expression levels, whereas p16(INK4a) exhibited low mRNA levels compared with the corresponding normal tissue. Significant correlations were detected among the genes studied.

CONCLUSIONS

Our results demonstrate a different expression profile between p16(INK4a) and p14(ARF), p15(INK4b) and p53 in BCC. Moreover, we found a low percentage of LOH and of a polymorphic sequence variant (Ala148Thr) for the CDKN2A locus.

The random amplified polymorphic DNA (RAPD) assay and related techniques applied to genotoxicity and carcinogenesis studies: a critical review

More than 9000 papers using the random amplified polymorphic DNA (RAPD) or related techniques (e.g. the arbitrarily primed polymerase chain reaction (AP-PCR)) have been published from 1990 to 2005. The RAPD method has been initially used to detect polymorphism in genetic mapping, taxonomy and phylogenetic studies and later in genotoxicity and carcinogenesis studies. Despite their extensive use, these techniques have also attracted some criticisms, mainly for lack of reproducibility. In the light of their widespread applications, the objectives of this review are to (1) identify the potential factors affecting the optimisation of the RAPD and AP-PCR assays, (2) critically describe and analyse these techniques in genotoxicity and carcinogenesis studies, (3) compare the RAPD assay with other well used methodologies, (4) further elucidate the impact of DNA damage and mutations on the RAPD profiles, and finally (5) provide some recommendations/guidelines to further improve the applications of the assays and to help the identification of the factors responsible for the RAPD changes. It is suggested that after proper optimisation, the RAPD is a reliable, sensitive and reproducible assay, has the potential to detect a wide range of DNA damage (e.g. DNA adducts, DNA breakage) as well as mutations (point mutations and large rearrangements) and therefore can be applied to genotoxicity and carcinogenesis studies. Nevertheless, the interpretation of the changes in RAPD profiles is difficult since many factors can affect the generation of RAPD profiles. It is therefore important that these factors are identified and taken into account while using these assays. On the other hand, further analyses of the relevant bands generated in RAPD profile allow not only to identify some of the molecular events implicated in the genomic instability but also to discover genes playing key roles, particularly in the initiation and development of malignancy. Finally, to elucidate the potential genotoxic effects of environmental contaminants, a powerful strategy could be firstly to use the RAPD assay as a screening method and secondly to apply more specific methods measuring for instance DNA adducts, gene mutations or cytogenetic effects. It is also envisaged that these assays (i.e. RAPD and related techniques), which reflect effects at whole genome level, would continue to complement the use of emerging technologies (e.g. microarrays which aim to quantify expression of individual genes).