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Tumor growth and chemo response may be predicted by mathematical model
Date:5/18/2009

ers used the mathematical model to successfully predict the effects of doxorubicin on breast tumor growth. The model incorporates information gleaned from cancer cells grown in the laboratory to determine whether a prescribed drug will reach the tumor in sufficient quantities to kill the malignant cells. "We seek to improve the precision of prescribing chemotherapeutic drugs, since it is sometimes hard to tell which will work and which will not, and what the optimal dose is for a particular patient," said Hermann Frieboes, Ph.D., lead author of the chemotherapy study and a post doctoral fellow at the UT School of Health Information Sciences.

In the not-too-distant future, the mathematical model could help design therapies in which the molecular and cellular characteristics of a patient's tumor are manipulated, Cristini said. This could decrease the spread of the tumor and help surgeons remove growths more effectively. This manipulation could also increase the susceptibility of tumors to chemotherapy, he added. The model could augment efforts to predict drug response, which currently include removing a tiny sample of cancer tissue and testing the response of its cells to cancer drugs in a laboratory situation before the patient starts treatment. By basing the model input parameters on specific patient data, the treatment outcomes could be predicted better.


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Contact: Robert Cahill
Robert.Cahill@uth.tmc.edu
713-500-3030
University of Texas Health Science Center at Houston
Source:Eurekalert  

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