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Review
. 2015 Nov;16(6):1000-7.
doi: 10.1093/bib/bbv013. Epub 2015 Mar 31.

Molecular portraits: the evolution of the concept of transcriptome-based cancer signatures

Angelika Modelska, Alessandro Quattrone, Angela Re
Review

Molecular portraits: the evolution of the concept of transcriptome-based cancer signatures

Angelika Modelska et al. Brief Bioinform. 2015 Nov.

Abstract

Cancer results from dysregulation of multiple steps of gene expression programs. We review how transcriptome profiling has been widely explored for cancer classification and biomarker discovery but resulted in limited clinical impact. Therefore, we discuss alternative and complementary omics approaches.

Keywords: cancer; heterogeneity; omics; signatures; transcriptomes.

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Figures

Figure 1.
Figure 1.
Obtaining molecular portraits of cancer. Different omics fields are listed together with the main methods used to obtain results. DNA-seq—DNA sequencing; RNA-seq—RNA sequencing.
Figure 2.
Figure 2.
The increase in the number of cancer transcriptome profiling studies. ArrayExpress was queried for human cancer data sets acquired from at least 30 samples by RNA microarray or sequencing assays. Main bar plot:data sets acquired from any cancer type; insert plot: data sets from breast cancer studies only.
See this image and copyright information in PMC

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