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The Motif 1- and 2-like tumours, like the cohort B cells of Hoek et al., may represent transitional states of gene expression between the extremes of invasive Motif 1 and weakly invasive Motif 2. Notably, there was no clear relationship between expression profile and tumour stage, with both primary and metastatic tumours showing invasive Motif 1.
With expression data from multiple tissues at hand, we investigated the relationship between expression profile and dosage compensation.
In this study, we found not only overexpression of ALKBH3 in lung adenocarcinoma cells but also a correlation between expression profile and recurrence-free survival (RFS).
One-thousand five hundred seventy six putative genes which expression levels strongly changed during germination were selected to identify the correlation between expression profile and the events that occurred during germination.
Davis et al. [ 29] showed that the strongest negative relationship between expression profile and evolutionary rate occurs at a late stage in embryonic development, soon after the main burst of expression of segment polarity and Hox genes.
A correlation between expression profile and biological function was also demonstrated in Drosophila [ 54– 57] and humans, although in this last case somewhat obscured by a less complete functional annotation of the genome [ 12].
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Finally, we studied the relationships between expression profiles and the length of intergenic sequences.
To answer this question we resorted to a multiple regression analysis of regional genomic characters that could potentially explain the relationships between expression profiles and gene structure.
Unfortunately, in case of our study the patients were not followed up thus it is not possible to analyze any correlations between expression profiles and patients survival.
To verify the possibility that these correlations, could explain the relationship between expression profiles and gene characteristics we studied the consequences of including the length and GC content of intergenic sequences as additional independent variables in our models.
Since the lengths of genic regions are known to be highly correlated each other, we investigated the nature of the dependencies between expression profiles and length of genic regions.
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