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Genome‐wide analyses on high‐grade osteosarcoma: Making sense of a genomically most unstable tumor
Author(s) -
Kuijjer Marieke L.,
Hogendoorn Pancras C.W.,
CletonJansen AnneMarie
Publication year - 2013
Publication title -
international journal of cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.475
H-Index - 234
eISSN - 1097-0215
pISSN - 0020-7136
DOI - 10.1002/ijc.28124
Subject(s) - osteosarcoma , genome , microarray , microarray analysis techniques , disease , computational biology , biology , bioinformatics , gene , medicine , genetics , cancer research , pathology , gene expression
High‐grade osteosarcoma is an extremely genomically unstable tumor. This, together with other challenges, such as the heterogeneity within and between tumor samples, and the rarity of the disease, renders it difficult to study this tumor on a genome‐wide level. Now that most laboratories change from genome‐wide microarray experiments to Next‐Generation Sequencing it is important to discuss the lessons we have learned from microarray studies. In this review, we discuss the challenges of high‐grade osteosarcoma data analysis. We give an overview of microarray studies that have been conducted so far on both osteosarcoma tissue samples and cell lines. We discuss recent findings from integration of different data types, which is particularly relevant in a tumor with such a complex genomic profile. Finally, we elaborate on the translation of results obtained with bioinformatics into functional studies, which has lead to valuable findings, especially when keeping in mind that no new therapies with a significant impact on survival have been developed in the past decades.