Friday, 5 September 2008

Growth Factor Predicts Poor Outcome In Breast Cancer


The response to insulin-like growth broker 1 (IGF-I) in tit cancer cells predicts an aggressive neoplasm that is less potential to react to discussion, said researchers at Baylor College of Medicine in a report that appears in the current issue of the Journal of Clinical Oncology. The finding gives drift to the movement to tailor crab treatments to attributes of the diverse tumors.



"These findings come at a critical time," said Dr. Adrian Lee, associate professor in the Lester and Sue Smith Breast Center at BCM. "Our goal is to identify biomarkers that will help predict which patients volition respond to therapy against insulin-like growth factor. Several inhibitors of the IGF pathway are in patient role studies right now. There's a large movement to understand which patients will respond to these drugs. This is a whole tone toward that goal"



In this study, Lee and his colleagues aroused breast genus Cancer cells with IGF-I in the research lab and defined how more than 800 genes in the cells responded to the growth factor. They then examined samples of patient breast tumors with this "factor signature" and correlated the gene signatures with the fate of the patients.



"We have engineering now to allow us to globally assess what IGF is doing in breast cancer at the whole factor expression story," said Lee. "This is one of the number one studies to do that. We know that IGF is uncollectible in crab, but now we buttocks globally understand it in a more comprehensive way. It could lead to finding biomarkers for patients response" to breast malignant neoplastic disease treatments.



"We found that IGF-I is a major regulator of cell growth and cell natural selection," said Lee. "It as well regulates DNA repair."



This has major implications for antineoplastic treatments that seek to cause DNA damage and tumor cellphone death.



"If you have something regulating DNA repair, you want that turned off," said Lee.



They found that tumors in which IGF (insulin-like increase factor) unnatural the way in which genes were activated or translated into messages were more aggressive and more likely to grow. They also set up that the effect of IGF was independent of whether the tumor was affected by estrogen or not.



"This is very important," said Lee. "Once patients are resistant to internal secretion treatment (as with estrogen antagonist), their discourse options are limited. A treatment that inhibited receptors for IGF might give them some other option."



Currently, the Breast Center is perusing the effects of an IGF receptor antibody combined with a drug called exemestane (Aromasin� or an aromatase inhibitor that blocks estrogen production) in postmenopausal women. One group of women accept the combination and the other takes exemestane.



Bioinformatics - the power to psychoanalyse large amounts of information - proven key to the study, said Lee. In fact, the first author, Dr. Chad J. Creighton of BCM, is a bioinformatician, said Lee.





Others who took part in this research include Angelo Casa, ZaWaunyka Lazard, Shixia Huang, Anna Tsimelzon, Susan G. Hilsenbeck and C. Kent Osborne, all of BCM.



Funding for this work came from the National Institutes of Health and the Baylor College of Medicine/AstraZeneca Alliance.



The full article is uncommitted at http://jco.ascopubs.org/.



Source: Kimberlee K. Norton

Baylor College of Medicine




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