Identifying genes involved in prostate cancers
using Comparative Expressed Sequence Hybridisation analysis
Author
Janet Shipley
Institute of Cancer Research
Tumors are associated with altered or deregulated gene products
which affect critical functions such as cell division and differentiation.
This may determine the morphological features and biological behaviour
of malignancies.
Our aim is to identify involvement of specific chromosomal regions
associated with prostate cancers and identify the key genes involved.
Work is also directed at assessing any correlations between these
changes and clinicopathological data which may ultimately impact
on clinical management or highlight novel targets for therapy.
Ribonucleic acid, RNA, is encoded by genes and translates in cells
to make proteins. The approach we are taking involves comparing
RNA from prostate cancer samples with those from a control sample.
The RNAs are treated to differentially tag them with different coloured
fluorochromes. These can then be co-hybridised to chromosomes or
arrayed clones which represent specific genes.
Aberrant ratios in the intensity of the fluorochromes
at either a particular chromosome location or for a particular
clone represent a difference in RNA expression levels between
a tumour and a control sample (figure 1). |
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We have recently developed and validated the methodology to hybridise
probes derived from RNA to chromosomes. This completely novel technique
(termed Comparative Expressed Sequence Hybridisation, CESH) identifies
chromosomal regions corresponding to differential gene expression
(Lu et al 2001). CESH produces patterns characteristic for tumour
types and subtypes. We have also shown that the changes can be used
to predict clinical behaviour in Wilms tumours and some sarcoma
(Lu et al 2002; unpublished data). We hypothesize that changes in
expression patterns identified by CESH may also be predictive in
prostate cancer.
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This may address one of the main issues in prostate cancer
diagnosis as to which cases identified through prostate-specific
antigen (PSA) testing will progress into a life threatening
disease and which will not. CESH analysis as illustrated in
figure 2 |
is a rapid approach which has been successfully applied to small
biopsy or microdissected samples. This is particularly appropriate
to study early stages of prostate cancer and prostate cancer cells
microdissected from surrounding normal tissue.
The key chromosomal regions will be identified from statistical
analysis of the data and corresponding clinical information.
Differences in the same regions may also be identified in
cell lines or samples where material is not limiting allowing
investigation of these regions in more detail by interogating
many clones representing genes from the regions of interest
(microarray analysis - figure 3). This may indicated which
genes are likely to be involved. |
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Key candidate genes will then be investigated in a large number
of samples by approaches indicated in figure 4 on order to confirm
and identify further correlations with the pathology or clinical
behaviour of the tumours.

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Acknowledgements We are grateful to Cancer Research UK and the
Freemasons' Grand Charity for their support.
Collaborators
Yong-Jie
Lu, Sandrine Rodriguez, Brenda Summersgill and Janet Shipley
Molecular Cytogenetics Team, Institute Cancer Research (ICR), Sutton,
Surrey
in collaboration with Sandra
Edwards and Colin
Cooper (Cell Transformation Team, ICR); Alison
Falconer (Cancer Genetics, ICR); Anne
Fletcher (Tissue Resources, ICR);
Chris
Parker, (Department of Radiotherapy, ICR); Chris Foster (Department
Pathology, Liverpool University); Yaxin Zheng and Brian Liu(Brigham
and Women's Hospital, Boston, USA)
References
Lu Y-J, Williamson D., Clark J., Wang R., Tiffin N., Skelton L.,
Gordon T., Williams R., Allan B., Jackman A., Cooper C., Pritchard-Jones
K., and Shipley J. (2001) Comparative Expressed Sequence Hybridization
to chromosomes for tumor classification and identification of genomic
regions of differential gene expression. Proc Natl Acad Sci (USA).
98: 9197-9202. Highlighted as Editors' Choice in Science 293; 1015.
Lu Y-J, Hing S, Williams R, Pinkerton R, Shipley J. and Pritchard-Jones
K. On behalf of the UK Children's Cancer Study Group (UKCCSG) Wilms
tumour group. (2001) Chromosome 1q expression profiling predicts
relapse in favourable histology Wilms tumour. Lancet - In press. |