Targeting molecular addictions in cancer.

Cancer cells depend on a finite number of critical signals for their survival. Oncogene addiction, that is, the acquired dependence of a cancer cell on the activity of a single oncogenic gene product, has been the basis for the targeted therapy paradigm, and operationally defines such signals. Additionally, cancer cells have altered metabolic requirements that create addictions to specific nutrients such as glucose and glutamine.

Focal amplification of the androgen receptor gene in hormone-naive human prostate cancer.

Background: Androgen receptor (AR)-gene amplification, found in 20-30% of castration-resistant prostate cancer (CRPCa) is proposed to develop as a consequence of hormone-deprivation therapy and be a prime cause of treatment failure. Here we investigate AR-gene amplification in cancers before hormone deprivation therapy.

Methods: A tissue microarray (TMA) series of 596 hormone-naive prostate cancers (HNPCas) was screened for chromosome X and AR-gene locus-specific copy number alterations using four-colour fluorescence in situ hybridisation.

High-density tissue microarrays from prostate needle biopsies.

Background: Formalin-fixed prostate biopsies are frequently the only tissue collected at the time of prostate cancer diagnosis. There is therefore a requirement for techniques that allow the use of these prostate biopsy specimens in a high-throughput analysis of immunohistochemical and fluorescence-in-situ-hybridisation-detected biomarkers.

Methods: The authors have previously described methods that allow tissue microarray (TMA) construction from prostate biopsies.

Fluorescence in situ hybridization analysis of formalin fixed paraffin embedded tissues, including tissue microarrays.

Formalin fixed paraffin embedded (FFPE) material is frequently the most convenient readily available source of diseased tissue, including tumors. Multiple cores of FFPE material are being used increasingly to construct tissue microarrays (TMAs) that enable simultaneous analyses of many archival samples. Fluorescence in situ hybridization (FISH) is an important approach to analyze FFPE material for specific genetic aberrations that may be associated with tumor types or subtypes, cellular morphology, and disease prognosis.

Molecular characterisation of ERG, ETV1 and PTEN gene loci identifies patients at low and high risk of death from prostate cancer.

Background: The discovery of ERG/ETV1 gene rearrangements and PTEN gene loss warrants investigation in a mechanism-based prognostic classification of prostate cancer (PCa). The study objective was to evaluate the potential clinical significance and natural history of different disease categories by combining ERG/ETV1 gene rearrangements and PTEN gene loss status.

Methods: We utilised fluorescence in situ hybridisation (FISH) assays to detect PTEN gene loss and ERG/ETV1 gene rearrangements in 308 conservatively managed PCa patients with survival outcome data.

ETS gene fusions in prostate cancer.

Chromosomal rearrangements that result in high level expression of ETS gene family members are common events in human prostate cancer. Most frequently, the androgen-activated gene TMPRSS2 is found fused to the ERG gene. Fusions involving ETV1, ETV4 and ETV5 occur less frequently but exhibit greater variability in fusion structure with 12 unique 5' fusion partners identified so far.

An improved method for constructing tissue microarrays from prostate needle biopsy specimens.

Background: Prostate cancer diagnosis is routinely made by the histopathological examination of formalin fixed needle biopsy specimens. Frequently this is the only cancer tissue available from the patient for the analysis of diagnostic and prognostic biomarkers. There is, therefore, an urgent need for methods that allow the high-throughput analysis of these biopsy samples using immunohistochemical (IHC) markers and fluorescence in situ hybridisation (FISH) analysis based markers.

Integration of ERG gene mapping and gene-expression profiling identifies distinct categories of human prostate cancer.

Objective: To integrate the mapping of ERG alterations with the collection of expression microarray (EMA) data, as previous EMA analyses have failed to consider the genetic heterogeneity and complex patterns of ERG alteration frequently found in cancerous prostates.

Materials And Methods: We determined genome-wide expression levels with GeneChip Human Exon 1.0 ST arrays (Affymetrix, Santa Clara, CA, USA) using RNA prepared from 35 specimens of prostate cancer from 28 prostates.

Concepts of epigenetics in prostate cancer development.

Substantial evidence now supports the view that epigenetic changes have a role in the development of human prostate cancer. Analyses of the patterns of epigenetic alteration are providing important insights into the origin of this disease and have identified specific alterations that may serve as useful diagnostic and prognostic biomarkers. Examination of cancer methylation patterns supports a stem cell origin of prostate cancer.

Biopsy tissue microarray study of Ki-67 expression in untreated, localized prostate cancer managed by active surveillance.

Active surveillance provides a unique opportunity to study biomarkers of prostate cancer behaviour, although only small volumes of tumor tissue are typically available. We have evaluated a technique for constructing tissue microarrays (TMAs) from needle biopsies for assessing immunohistochemical markers in localized prostate cancer managed by active surveillance. TMAs were constructed from diagnostic prostate biopsies for 60 patients with localized prostatic adenocarcinoma in a prospective cohort study of active surveillance.

Heterogeneity and clinical significance of ETV1 translocations in human prostate cancer.

A fluorescence in situ hybridisation (FISH) assay has been used to screen for ETV1 gene rearrangements in a cohort of 429 prostate cancers from patients who had been diagnosed by trans-urethral resection of the prostate. The presence of ETV1 gene alterations (found in 23 cases, 5.4%) was correlated with higher Gleason Score (P=0.

Detection of TMPRSS2-ERG translocations in human prostate cancer by expression profiling using GeneChip Human Exon 1.0 ST arrays.

Translocation of TMPRSS2 to the ERG gene, found in a high proportion of human prostate cancer, results in overexpression of the 3'-ERG sequences joined to the 5'-TMPRSS2 promoter. The studies presented here were designed to test the ability of expression analysis on GeneChip Human Exon 1.0 ST arrays to detect 5'-TMPRSS2-ERG-3' hybrid transcripts encoded by this translocation.

Mechanisms of Disease: biomarkers and molecular targets from microarray gene expression studies in prostate cancer.

Molecular biomarkers can serve as useful diagnostic markers, as prognostic markers for predicting clinical behavior, or as targets for new therapeutic strategies. Application of expression microarray technology, which allows the expression of all or most of the genes in the human genome to be analyzed simultaneously, has dramatically enhanced the discovery of prostate cancer biomarkers. The diagnostic markers identified include AMACR (alpha-methylacyl CoA racemase), a protein that has already been translated into clinical use as an aid in distinguishing prostate cancer from benign disease.

Complex patterns of ETS gene alteration arise during cancer development in the human prostate.

An ERG gene 'break-apart' fluorescence in situ hybridization (FISH) assay has been used to screen whole-mount prostatectomy specimens for rearrangements at the ERG locus. In cancers containing ERG alterations the observed pattern of changes was often complex. Different categories of ERG gene alteration were found either together in a single cancerous region or within separate foci of cancer in the same prostate slice.

Duplication of the fusion of TMPRSS2 to ERG sequences identifies fatal human prostate cancer.

New predictive markers for managing prostate cancer are urgently required because of the highly variable natural history of this disease. At the time of diagnosis, Gleason score provides the gold standard for assessing the aggressiveness of prostate cancer. However, the recent discovery of TMPRSS2 fusions to the ERG gene in prostate cancer raises the possibility of using alterations at the ERG locus as additional mechanism-based prognostic indicators.

Diversity of TMPRSS2-ERG fusion transcripts in the human prostate.

TMPRSS2-ERG gene fusions have recently been reported to be present in a high proportion of human prostate cancers. In the current study, we show that great diversity exists in the precise structure of TMPRSS2-ERG hybrid transcripts found in human prostates. Fourteen distinct hybrid transcripts are characterized, each containing different combinations of sequences from the TMPRSS2 and ERG genes.

Nuclear overexpression of the E2F3 transcription factor in human lung cancer.

Background: The E2F3 transcription factor has an established role in controlling cell cycle progression. In previous studies we have provided evidence that nuclear E2F3 overexpression represents a mechanism that drives the development of human bladder cancer and that determines aggressiveness in human prostate cancer. We have proposed a model in which E2F3 overexpression co-operates with removal of the E2F inhibitor pRB to facilitate cancer development.

Role of E2F3 expression in modulating cellular proliferation rate in human bladder and prostate cancer cells.

Amplification and overexpression of the E2F3 gene at 6p22 in human bladder cancer is associated with increased tumour stage, grade and proliferation index, and in prostate cancer E2F3 overexpression is linked to tumour aggressiveness. We first used small interfering RNA technology to confirm the potential importance of E2F3 overexpression in bladder cancer development. Knockdown of E2F3 expression in bladder cells containing the 6p22 amplicon strongly reduced the extent of bromodeoxyuridine (BrdU) incorporation and the rate of cellular proliferation.

The molecular basis of prostate cancer.

Cancer involves accumulation of genetic alterations. This review highlights the alterations in control pathways for cell division, development, DNA repair, angiogenesis and cell death that are believed to be key players in the development of prostate cancer.

Expression analysis onto microarrays of randomly selected cDNA clones highlights HOXB13 as a marker of human prostate cancer.

In a strategy aimed at identifying novel markers of human prostate cancer, we performed expression analysis using microarrays of clones randomly selected from a cDNA library prepared from the LNCaP prostate cancer cell line. Comparisons of expression profiles in primary human prostate cancer, adjacent normal prostate tissue, and a selection of other (nonprostate) normal human tissues, led to the identification of a set of clones that were judged as the best candidate markers of normal and/or malignant prostate tissue. DNA sequencing of the selected clones revealed that they included 10 genes that had previously been established as prostate markers: NKX3.

A gene expression signature associated with metastatic outcome in human leiomyosarcomas.

Metastasis is a major factor associated with poor prognosis in cancer, but little is known of its molecular mechanisms. Although the clinical behavior of soft tissue sarcomas is highly variable, few reliable determinants of outcome have been identified. New markers that predict clinical outcome, in particular the ability of primary tumors to develop metastatic tumors, are urgently needed.

Epithelial stem cells in human prostate growth and disease.

Benign prostatic hyperplasia and prostate cancer arise as a consequence of changes in the balance between cell division and differentiation. Little, however, is known about the control of this process. Stem cells are a small population of cells that divide occasionally to produce transit-amplifying cells that in turn produce the differentiated cell types of the tissue.

Molecular classification of synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas by gene expression profiling.

In this study, we have used genome-wide expression profiling to categorise synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas (MFHs). Following hierarchical clustering analysis of the expression data, the best match between tumour clusters and conventional diagnosis was observed for synovial sarcomas. Eight of nine synovial sarcomas examined formed a cluster that was characterised by higher expression of a set of 48 genes.