You are about to access the eTumour database (see also database
references), which is one
of the final results of the eTumour project, with
collaboration to acquire statistically significant data. Clinical MRS, HRMAS and microarrays of biopsies were used to investigate
how metabolomic and genomic profiles relate to diagnosis or to clinically relevant factors such as survival time and treatment
The eTumour multicentre project gathered in-vivo and ex-vivo MR data, as well as transcriptomic and clinical information from
brain tumour patients, with the purpose of improving the diagnostic and prognostic evaluation of future patients. The database
contains 1317 cases created as a result of the eTumour project and 304 from a previous project,
INTERPRET, as described
in MAGMA. 2006 Feb;19(1):22-33. The number of
cases fulfilling the Indispensable Dataset (ID) was 656. Completeness and
pairedness were variable depending on the data type involved.
It is a password-protected, web-accessible database of standardised and quality control-checked brain tumour magnetic resonance
spectra with final consensus histopathological diagnoses of the corresponding patients which is made available free of charge to
hospitals for the benefit of patients. Contact database manager (Margarita dot Julia at uab dot cat)
for further details.
The project was funded by the EU (FP6-2002-LIFESCIHEALTH 503094), and it was carried out from February 2004 to August
2009 (5.5 years), involving 21 partners across Europe and Argentina.
From September 2009 onwards, partial support is acknowledged to CIBER-BBN, which is an initiative funded by the VI National
R&D&i Plan 2008-11, CIBER Actions and financed by the Instituto de Salud Carlos III with assistance from the European
Regional Development Fund and to Ministerio de Ciencia e Innovación in Spain (PHENOIMA: SAF2008-03323).
By logging into the eTumour system and database, I agree with the terms and conditions mentioned below:
- I agree not to reveal any data belonging to the personal information of any patient whose experimental data have been uploaded into the system, or from any other patient for that matter.
- I agree not to reveal any information which could be used to trace the patient to whom the experimental data belong.
- I agree not to reveal either implicitly or explicitly the identity of any patient on any of the sections of the system (e.g. free text comment in database fields).
- I agree not to upload data which may contain information useful for tracking and identifying the patient to whom these data belong. Therefore, I agree to use the anonymization modules provided by eTumour before uploading any data file into the system.