Tuesday, 26 August 2008

Cancer Signatures Uncovered

�A modern systematic analysis of the relationship between the neoplastic and developmental transcriptome provides an outline of trends in cancer gene saying. The research, published lately in BioMed Central's receptive access journal Genome Biology, describes how cancers prat be divided into trine groups distinguished by disparate developmental signatures.


Isaac S Kohane from Children's Hospital Boston and Harvard University, US, led a team of researchers wHO performed a comprehensive compare of genes expressed in early developmental stages of various human tissues and those expressed in different cancers touching these tissues. He says, "Our study reveals potentially clinically relevant differences in the cistron expression of different cancer types and represents a reference framework for rendition of smaller-scale functional studies".


One of the three described groups of cancers has an other developmental phenotype and expresses genes that are characteristic of stem cells. From a developmental perspective, this group presents very homogeneously. A second gear, more heterogenous group tends to be more similar to late development and is characterized by an inflammatory signature tune. The tierce is a small group of cancers that confront as a transition phenotype between these two extremes and displays both characteristics.


According to Kohane, "This segregation of tumors into leash groups with distinct look patterns is surprising. Clearly, the developmental trajectory provides a meaningful background for capturing large-scale differences in gene manifestation across diverse conditions".


The study's results will lead towards a better understanding of human disease from a 'macrobiological' attack to analyzing high-throughput data. According to the authors, "Shifting our focus from single sets of genes or processes to the biology of aggregates on the order of the entire transcriptome is probable to be useful in establishing highly robust molecular correlations between seemingly unrelated disease phenotypes".


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