Analysis of differential gene expression in colorectal cancer and stroma using fluorescence-activated cell sorting purification.

Tumour stroma gene expression in biopsy specimens may obscure the expression of tumour parenchyma, hampering the predictive power of microarrays. We aimed to assess the utility of fluorescence-activated cell sorting (FACS) for generating cell populations for gene expression analysis and to compare the gene expression of FACS-purified tumour parenchyma to that of whole tumour biopsies. Single cell suspensions were generated from colorectal tumour biopsies and tumour parenchyma was separated using FACS. Fluorescence-activated cell sorting allowed reliable estimation and purification of cell populations, generating parenchymal purity above 90%. RNA from FACS-purified and corresponding whole tumour biopsies was hybridised to Affymetrix oligonucleotide microarrays. Whole tumour and parenchymal samples demonstrated differential gene expression, with 289 genes significantly overexpressed in the whole tumour, many of which were consistent with stromal gene expression (e.g., COL6A3, COL1A2, POSTN, TIMP2). Genes characteristic of colorectal carcinoma were overexpressed in the FACS-purified cells (e.g., HOX2D and RHOB). We found FACS to be a robust method for generating samples for gene expression analysis, allowing simultaneous assessment of parenchymal and stromal compartments. Gross stromal contamination may affect the interpretation of cancer gene expression microarray experiments, with implications for hypotheses generation and the stability of expression signatures used for predicting clinical outcomes.

Detection of the interleukin 18 family in rat brain by RT-PCR.

Interleukin 18, an inflammatory cytokine, mediates its effects by interaction with its receptor complex, consisting of the IL-18 receptor (IL-18R) and receptor accessory protein (AcPL). A functional inhibitor of IL-18, the IL-18 binding protein (IL-18BP), has been identified recently. This study reports the detection of IL-18, IL-18R, AcPL and IL-18BP mRNA expression in the brain of normal adult rats using RT-PCR.

The cocaine- and amphetamine-regulated transcript mediates ligand-independent activation of ERα, and is an independent prognostic factor in node-negative breast cancer.

Personalized medicine requires the identification of unambiguous prognostic and predictive biomarkers to inform therapeutic decisions. Within this context, the management of lymph node-negative breast cancer is the subject of much debate with particular emphasis on the requirement for adjuvant chemotherapy. The identification of prognostic and predictive biomarkers in this group of patients is crucial. Here, we demonstrate by tissue microarray and automated image analysis that the cocaine- and amphetamine-regulated transcript (CART) is expressed in primary and metastatic breast cancer and is an independent poor prognostic factor in estrogen receptor (ER)-positive, lymph node-negative tumors in two separate breast cancer cohorts (n=690; P=0.002, 0.013). We also show that CART increases the transcriptional activity of ERα in a ligand-independent manner via the mitogen-activated protein kinase pathway and that CART stimulates an autocrine/paracrine loop within tumor cells to amplify the CART signal. Additionally, we demonstrate that CART expression in ER-positive breast cancer cell lines protects against tamoxifen-mediated cell death and that high CART expression predicts disease outcome in tamoxifen-treated patients in vivo in three independent breast cancer cohorts. We believe that CART profiling will help facilitate stratification of lymph node-negative breast cancer patients into high- and low-risk categories and allow for the personalization of therapy.

Molecular profiling of breast cancer: transcriptomic studies and beyond.

Utilisation of 'omics' technologies, in particular gene expression profiling, has increased dramatically in recent years. In basic research, high-throughput profiling applications are increasingly used and may now even be considered standard research tools. In the clinic, there is a need for better and more accurate diagnosis, prognosis and treatment response indicators. As such, clinicians have looked to omics technologies for potential biomarkers. These prediction profiling studies have in turn attracted the attention of basic researchers eager to uncover biological mechanisms underlying clinically useful signatures. Here we highlight some of the seminal work establishing the arrival of the omics, in particular transcriptomics, in breast cancer research and discuss a sample of the most current applications. We also discuss the challenges of data analysis and integrated data analysis with emphasis on utilising the current publicly available gene expression datasets. (Part of a Multi-author Review).

Cloning of rat brain interleukin-18 cDNA.

The interleukin-1 (IL-1) family comprises IL-1 alpha and IL-1 beta and an endogenous IL-1 receptor antagonist (IL-1ra). IL-1 has diverse actions in the brain and has been implicated in both acute and chronic neurodegeneration. However, neither IL-1 alpha nor IL-1 beta are neurotoxic per se in vivo, so other IL-1 related ligands may be important in neurodegeneration. The cytokine interleukin-18 (also called interferon gamma inducing factor, IGIF) was first isolated from the liver of mice during toxic shock. It was later proposed as a member of the IL-1 family, based on protein sequence homology with IL-1 beta and IL-1ra, and has tentatively been called IL-1 gamma. We cloned IL-18 from adult rat brain and demonstrated, by RT-PCR, that it is expressed constitutively in cerebellum, hippocampus, hypothalamus, cortex and striatum. Rat brain IL-18 shows close homology to mouse and human IL-18, and to the recently published sequence from the rat adrenal gland. Mouse pro-IL-18 and pro-IL-1 beta are processed by caspase-1. We demonstrate that caspase-1 also cleaves rat IL-18 in vitro and that the caspase inhibitor, zVAD-DCB inhibits this cleavage.

Apoptosis: molecular regulation of cell death.

The field of apoptosis is unusual in several respects. Firstly, its general importance has been widely recognised only in the past few years and its surprising significance is still being evaluated in a number of areas of biology. Secondly, although apoptosis is now accepted as a critical element in the repertoire of potential cellular responses, the picture of the intra-cellular processes involved is probably still incomplete, not just in its details, but also in the basic outline of the process as a whole. It is therefore a very interesting and active area at present and is likely to progress rapidly in the next two or three years. This review emphasises recent work on the molecular mechanisms of apoptosis and, in particular, on the intracellular interactions which control this process. This latter area is of crucial importance since dysfunction of the normal control machinery is likely to have serious pathological consequences, probably including oncogenesis, autoimmunity and degenerative disease. The genetic analysis of programmed cell death during the development of the nematode Caenorhabditis elegans has proved very useful in identifying important events in the cell death programme. Recently defined genetic connections between C. elegans cell death and mammalian apoptosis have emphasised the value of this system as a model for cell death in mammalian cells, which, inevitably, is more complex. The signals inducing apoptosis are very varied and the same signals can induce differentiation and proliferation in other situations. However, some pathways appear to be of particular significance in the control of cell death; recent analysis of the apoptosis induced through the cell-surface Fas receptor has been especially important for immunology. Two gene families are dealt with in particular detail because of their likely importance in apoptosis control. These are, first, the genes encoding the interleukin-1 beta-converting enzyme family of cysteine proteases and, second, those related to the proto-oncogene bcl-2. Both of these families are homologous to cell death genes in C. elegans. In mammalian cells the number of members of both families which have been identified is growing rapidly and considerable effort is being directed towards establishing the roles played by each member and the ways in which they interact to regulate apoptosis. Other genes with established roles in the regulation of proliferation and differentiation are also important in controlling apoptosis. Several of these are known proto-oncogenes, e.g. c-myc, or tumour suppressors, e.g. p53, an observation which is consistent with the importance of defective apoptosis in the development of cancer. Viral manipulation of the apoptosis of host cells frequently involves interactions with these cellular proteins. Finally, the biochemistry of the closely controlled cellular self-destruction which ensues when the apoptosis programme has been engaged is also very important. The biochemical changes involved in inducing phagocytosis of the apoptotic cell, for example, allow the process to be neatly integrated within the tissues, under physiological conditions. Molecular defects in this area too may have important pathological consequences.

Oligonucleotide microarray analysis of gene expression in neuroblastoma displaying loss of chromosome 11q.

A number of distinct subtypes of neuroblastoma exist with different genetic abnormalities that are predicative of outcome. Whole chromosome gains are usually associated with low stage disease and favourable outcome, whereas loss of 1p, 3p and 11q, unbalanced gain of 17q and MYCN amplification (MNA) are indicative of high stage disease and unfavourable prognosis. Although MNA and loss of 11q appear to represent two distinct genetic subtypes of advanced stage neuroblastoma, a detailed understanding of how these subtypes differ in terms of global gene expression is still lacking. We have used metaphase comparative genomic hybridization (CGH) analysis in combination with oligonucleotide technology to identify patterns of gene expression that correlate with specific genomic imbalances found in primary neuroblastic tumours and cell lines. The tumours analysed in this manner included a ganglioneuroma, along with various ganglioneuroblastoma and neuroblastoma of different stages and histopathological classifications. Oligonucleotide microarray-based gene expression profile analysis was performed with Affymetrix HU133A arrays representing approximately 14 500 unique genes. The oligonucleotide microarray results were subsequently validated by quantitative real-time PCR, immunohistochemical staining, and by comparison of specific gene expression patterns with published results. Hierarchical clustering of gene expression data distinguished tumours on the basis of stage, differentiation and genetic abnormalities. A number of genes were identified whose patterns of expression were highly correlated with 11q loss; supporting the concept that loss of 11q represents a distinct genetic subtype of neuroblastoma. The implications of these results in the process of neuroblastoma development and progression are discussed.