What have the 'omics done for endometriosis?

Charalampos Siristatidis, Charalampos S Siristatidis, Siristatidis CS
Medical science monitor : international medical journal of experimental and clinical research · 2009 · vol. 15(5) , pp. RA116–23 · PMID:19396052 · W1761035164
Review OA: closed CC0 ⤵ 10 in-corpus citations
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Genomic and proteomic technologies have advanced understanding of endometriosis pathophysiology and potential biomarkers, but have not yet yielded new therapies or validated diagnostic markers due to the disease's complexity.

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Abstract

A review of the current literature was attempted in order to determine to what degree new technological features, such as the use of proteomics, genomics, and gene microarrays, have contributed to the elucidation of the specific pathways to the formation of endometriosis as well as to the discovery of potential biomarkers and new treatment strategies. Endometriosis is well described as a condition in which multiple genetic components and still foggy environmental risk factors are important determinants of the disease's origin, maintenance, persistence, and clinical outcome. The concept is that because of the special features and complexity of the disease, endometriosis is ideally suited as a target for genome- and proteome-wide scanning. Reviewing the current literature we found that, apart from the better understanding of the pathophysiology and the metabolic pathways which lead to potential biomarkers for endometriosis, there are still issues to be clarified and applications to be achieved. The evolving genomic and proteomic technologies remain poised to revolutionize the diagnosis and treatment of endometriosis but have not yet lead to a single new therapy or tested biomarker. The reasons have mainly to do with the complex and multifactorial character of the disease itself.

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Genomics Genomics Proteomics Proteomics Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Female Female Humans Humans Oligonucleotide Array Sequence Analysis Oligonucleotide Array Sequence Analysis

Citation neighborhood (2-hop)

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. Outer rings show 2-hop neighbours — papers reached through the immediate citers/citees. [ collapse to 1-hop ]

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