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Cancer Research - Europa

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OVCAD<br />

Ovarian <strong>Cancer</strong> – Diagnosis of<br />

a Silent Killer<br />

Summary<br />

In Europe each year, 63 000 ovarian cancer cases are diagnosed<br />

and 41 000 ovarian cancer patients die. Seventy-fi ve<br />

per cent of patients are diagnosed at advanced stages due<br />

to an asymptomatic course and 75 % of these patients die<br />

within fi ve years. Treatment involves surgery followed by<br />

chemotherapy. However, 25 % of patients relapse within six<br />

months after initial treatment and there is doubt as to<br />

whether these patients benefi t from this therapy at all.<br />

Recurrent disease is diagnosed by clinical evidences or by<br />

CA125 dynamics. But detection is limited due to a lack of<br />

sensitivity and specifi city, as is the case with primary<br />

diagnosis.<br />

Currently, there is no method to detect minimal disease, the<br />

fi rst indicator of therapy failure and a precursor of recurrence,<br />

which inevitably leaves specifi c traces throughout<br />

the body. There is a strong need for molecular-oriented<br />

research to detect minimal disease in order to disburden<br />

patients from an ineffi cient and toxic therapy.<br />

144<br />

Keywords | Ovarian cancer | molecular diagnosis | minimal disease | chemotherapy | gene expression | signature |<br />

proteomics | CGH | mutation | methylation | targeted therapy |<br />

Ovarian carcinoma – immunohistochemical staining of L1on ovarian carcinoma and its<br />

metastases in adjacent organs (Source: J. Sehouli, Berlin; M. Fogel, Rehovot and P. Altevogt,<br />

Heidelberg).<br />

Problem<br />

Diagnosis at advanced stages and a high mortality rate is<br />

the tragedy of ovarian cancer. After initial surgical therapy,<br />

25 % of patients relapse within six months and 75 % die within<br />

fi ve years, mainly due to resistance to chemotherapy.<br />

Available methods for the detection of recurrent disease<br />

lack both sensitivity and specifi city and usually miss minimal<br />

disease as a fi rst sign of therapy resistance.<br />

Aim<br />

The aim of this project is to defi ne clinically useful molecular-orientated<br />

early detection of minimal residual disease<br />

(MRD) in ovarian cancer that can identify patients not<br />

responding to the standard (state-of-theart) therapy at the<br />

time of surgery. This will disburden the patients from the<br />

very toxic and ineffi cient standard chemotherapy and eventually<br />

lead to alternative therapy modalities, which can really<br />

bring benefi ts to this group of patients. ‘Signatures’ that signal<br />

the presence of MRD will be investigated at various<br />

molecular levels (DNA, RNA and protein) and in a broad<br />

spectrum of biological materials (tumour tissue, disseminated<br />

tumour cells, sera, white blood cells, ascites) from ovarian<br />

cancer patients.<br />

Specifi cally, the project is aiming at:<br />

• development and/or validation of several molecular<br />

diagnostic methods to identify MRD in ovarian cancer<br />

patients;<br />

• defi nition of a new ‘diagnostic state-of-the-art’ by correlating<br />

the diagnostic results with the clinically-defi ned<br />

response of the patients to standard therapy, consisting<br />

of primary surgery, followed by standard platinum/Taxolbased<br />

chemotherapy;<br />

• early discovery and characterisation of MRD by molecular<br />

diagnostics leading to additional therapeutic interventions,<br />

ultimately improving patients’ prognosis and quality<br />

of life;<br />

• better understanding of the mechanisms that cause<br />

MRD and therapy failure;<br />

• identifi cation and evaluation of new potential therapy<br />

targets.<br />

Expected results<br />

Defi nition of a diagnostic method consisting of one or several<br />

molecular tests for early detection of minimal disease as<br />

an early indicator of therapy failure.<br />

Potential applications<br />

Diagnostic molecular tests and immunotherapy.<br />

CANCER RESEARCH PROJECTS FUNDED UNDER THE SIXTH FRAMEWORK PROGRAMME

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