2015
DOI: 10.1111/febs.13535
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Understanding the cancer cell phenotype beyond the limitations of current omics analyses

Abstract: Efforts to understand the mechanistic principles driving cancer metabolism and proliferation have been lately governed by genomic, transcriptomic and proteomic studies. This paper analyzes the caveats of these approaches. As molecular biology's central dogma proposes a unidirectional flux of information from genes to mRNA to proteins, it has frequently been assumed that monitoring the changes in the gene sequences and in mRNA and protein contents is sufficient to explain complex cellular processes. Such a stan… Show more

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Cited by 40 publications
(33 citation statements)
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References 112 publications
(96 reference statements)
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“…The functional units within cells are often macromolecular complexes rather than single species [20]. In case of OXPHOS, it has been shown that complexes of the respiratory chain can form assemblies—supercomplexes—that lead to kinetic and possibly homeostatic advantages [21].…”
Section: Introductionmentioning
confidence: 99%
“…The functional units within cells are often macromolecular complexes rather than single species [20]. In case of OXPHOS, it has been shown that complexes of the respiratory chain can form assemblies—supercomplexes—that lead to kinetic and possibly homeostatic advantages [21].…”
Section: Introductionmentioning
confidence: 99%
“…Microarray results with human MM biopsies suggest that increased expression of glycolytic genes may predict poorer overall survival outcomes. However, a tight correlation between gene transcription and pathway functionality may always not hold true [97]. Further studies in primary MM samples are required to show a direct correlation between glycolysis and overall survival outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…Bioinformatics [105,106], DNA sequencing [107,108], omics [109,110] and algorithm (e.g., COXEN) [111,112] tools have allowed the identification of chemokines and cytokines involved in immune contexture (analysis of the location, density and functional orientation of the different immune cell populations [113]) and proteomic, genomic, transcriptomic and epigenomic alterations in cancers, consequently enabling a more rational design in target therapy discovery, cancer prevention and therapy. Outputs of such investigations have enabled the development of CIVO™ technology, for example, that enables the simultaneous assessment of up to eight drugs or drug combinations within a solid tumour in vivo [114].…”
Section: Rationale For Using 3d In Vitro Modelsmentioning
confidence: 99%