Multilevel Interpretation of Cancer Genome Data
Madrid, Spain, 27-29 March 2011



Núria Malats, Spanish National Cancer Research Centre (CNIO), Madrid, Spain
Alfonso Valencia, Spanish National Cancer Research Centre (CNIO) & Spanish National Bioinformatics Institute (INB), Madrid, Spain
Chris Sander, Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, USA
Soren Brunak, Center for Biological Sequence Analysis (CBS) & Technical University of Denmark (DTU), Lyngby, Denmark & Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
Stephen J. Chanock, National Cancer Institute, National Institutes of Health,Bethesda, USA


The main scientific topic of the meeting will be the use of information on biological networks. The conference aims at reconciling the bioinformatics, statistics, epidemiology, genetics and molecular biology through the analysis and interpretation of large integrative studies on genomics (i.e. next-generation sequencing data, combining markers/tests, GWAS, genotyping, biological databases, and microarrays. ), including a vision of engineering developments.

Omics data enable the investigation of pathways in cancer aetiology. Further studies are needed to explore the utility of applying novel genetic markers in risk prediction, particularly in the context of assessing absolute risk. The event also expects to discuss the limitations of the already existing clinic and public health translation of the results derived from the earlier mentioned discipline integration. By reviewing the possibilities and limitations of this integration, the meeting will pull together the concepts of bioinformatics and computational biology to further advance in the interpretation of complex data.

Advances in DNA sequencing technology now make it feasible to directly sequence thousands of individuals. The technology is currently being applied to create deep catalogues of human variation thought international projects such as the International Cancer Genome Consortium (ICGC). Full genome sequences complement the dense genotype information currently being collected for tens of thousands of individuals with specific diseases. These data volumes are challenging the bioinformatics and analysis infrastructure. This challenge requires innovative technology development. The meeting will invite prominent speakers in this field to present their data base storage and analytical tools and to put in place a network infrastructure.

Draft Programme

Sunday, 27th March

20:00 Get together dinner.

Monday, 28th March

9:00-9:15 Welcome address

Session I: Cancer genomes (1)

9:15-9:55 GWAS in cancer
9:55-10:35 microRNAs and protein production in cancer cells
10:35-11:15 Individual sequence data
11:15-11:45 Coffee break and poster session
11:45-12:25 Cancer biological complexity
12:25-13-05 Tissue-specific disease genes and protein complexes
13:05-14:30 Lunch and poster session

 Session II: Complementing cancer genomes with functional and epidemiological information

14:30-15:10 Cancer epigenomes
15:10-15h50 Massive scaling data integration in epidemiological studies
15:50-16:10 Small RNAs effect in large scale cancer studies
16:10-16:40 Coffee break and poster session
16:40-17:00 Genome-wide DNA methylation profiling
17:00-17:40 Peculiar gene expression
17:40-18:40 Debate

Tuesday, 29th March

Session III: Cancer genome and cancer markers

9:10-9:50 Information-integration approaches to biological discovery in cancer
9:50-10:30 Exploring the systems pathology/biology of breast cancer
10:30-11:10 Integrative network analysis in lung cancer”
11:10-11:40 Group picture. Coffee break and poster session
11:40-12:20 Cancer genomics, personalized healthcare and the role of public health
12:20-13h00 Protein interaction networks and cancer
13:00 Lunch and poster session

Session IV: Cancer system approaches and simulations (1)

14:30-15:10 Investigating somatic rearrangements in human cancer
15:10-15:50 Cancer informatics pipelines
15:50-16:10 Merging genomic, transcriptomic and metabolomic data
16:10-16:40 Coffee break and poster session
16:40-17:00 Interactions between multilevel cancer genome networks
17:00-17:40 Knowledge-based methods for cancer genomics studies
17:40-18:20 Towards the evolutionary trajectory causing tumorigenesis

Session V: Cancer system approaches and simulations (2)

9:10-9:50 Therapeutic hypotheses from an integrated genomic analysis of Glioblastoma
09:50-10:30 Cancer genomic data under the prism of functional modules
10:30-10:50 Integration and data-mining of multidimensional cancer data
10:50-11:20 Coffee break and poster session
11:20-12:00 Elucidation of patho mechanisms in human brain tumors
12:00-12:40 Network pharmacology of cancer
12:40 Closing remarks and poster prize
13:00 Lunch


Speaker details can be found here.


The conference will be held at the Spanish National Cancer Research Centre (CNIO), Madrid, Spain.


Registration is now closed.