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

The aggressiveness of tumors and their susceptibility to chemotherapy may become easier to predict based on a mathematical model developed at The University of Texas Health Science Center at Houston.

In spite of extensive experimental and clinical studies, the process of cancer growth is not well understood. Tumors are complex systems, with changes at the molecular and cellular levels influencing shape and behavior in sometimes unpredictable ways. New research by a scientist in mathematical oncology at the UT Health Science Center at Houston suggests that mathematical modeling based on data from the molecular and cellular levels could shed light on tumor development and lead to better treatments.

Cancer is the second most common cause of death in the United States, exceeded only by heart disease, according to the American Cancer Society.

At the 100th annual meeting of the American Association for Cancer Research in Denver this spring, Vittorio Cristini, Ph.D., an associate professor of health informatics at The University of Texas School of Health Information Sciences at Houston, demonstrated the predictability of tumor growth in brain cancer and chemotherapy response in breast cancer. Findings appear in two different papers in the May 15 print issue of the association's peer-reviewed journal Cancer Research.

The mathematical model developed by Cristini's lab works by defining tumor biologic and molecular properties relating to laboratory and clinical observations of cancers. In this model, the behavior of cancer cells and their surroundings is linked to tumor growth, shape and treatment response.

"The central finding of this work is that tumor growth and invasion are not erratic or unpredictable, or solely explained through genomic and molecular events, but rather are predictable processes obeying biophysical laws," the authors wrote in the paper addressing predictability of tumor growth in brain cancer.

Tumors obtain nutrients and oxygen by harnessing the surrounding blood vessels and making new vessels. Since there typically aren't enough nutrients and oxygen to support tumor cells, an uneven distribution of these substances is created inside and around the tumor mass, Cristini said.

The research of Cristini and colleagues, who worked in collaboration with Elaine L. Bearer, M.D., Ph.D., professor at the Brown School of Medicine, suggests that tumor growth and invasion could be predicted by using biophysical laws that link the effects of the uneven distribution of cell nutrients and oxygen to overall tumor behavior.

For different values of the input parameters, the model consistently reproduced the patterns of tumor invasion observed in experiments and in patient tumors, Cristini said. The patterns were regulated by changes in cellular characteristics, causing more aggressive tumor cells to invade the healthy tissue. As cancer cells invade and replicate themselves, they make the tumor shape unstable and more invasive. The model correctly predicted the different types of invasion under a variety of conditions.

The model further predicted that the different forms of cancer invasion correspond to different stages of tumor progression, Cristini said. In regions of low oxygen, these changes may include a slowdown in cell replication and heightened cell migration, which can result in a "single-cell file" invasion pattern. As cells aggregate in regions that have better access to nutrients and oxygen, migration is lessened and cell replication is resumed. This leads to the formation of wave-like patterns of cell rearrangements at the tumor boundary and the formation of round infiltrative "fingers" that can detach from the tumor as clusters of cells.

In the second paper, working in collaboration with Mary Edgerton, M.D., Ph.D., associate professor of pathology at The University of Texas M. D. Anderson Cancer Center, the researchers 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.


'/>"/>

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

Related biology news :

1. Invasion of the brain tumors
2. Novel 3-D cell culture model shows selective tumor uptake of nanoparticles
3. Bits of junk RNA aid master tumor-suppressor gene
4. Analysis of breast and colon cancer genes finds many areas of differences between tumors
5. Tumor genome analysis unveils new insights into lung cancer
6. Cell response to stress signals predicts tumors in women with common pre-breast cancer
7. Synthetic compound promotes death of lung-cancer cells, tumors
8. MIT: Remote-control nanoparticles deliver drugs directly into tumors
9. New X-ray technique targets terrorists and tumors
10. DNA methylation shown to promote development of colon tumors
11. Gene variation may elevate risk of liver tumor in patients with cirrhosis
Post Your Comments:
*Name:
*Comment:
*Email:
Related Image:
Tumor growth and chemo response may be predicted by mathematical model
(Date:6/16/2016)... , June 16, 2016 ... size is expected to reach USD 1.83 billion ... Grand View Research, Inc. Technological proliferation and increasing ... applications are expected to drive the market growth. ... , The development of advanced multimodal ...
(Date:6/9/2016)... -- Paris Police Prefecture ... to ensure the safety of people and operations in several ... tournament Teleste, an international technology group specialised in ... that its video security solution will be utilised by ... safety across the country. The system roll-out is scheduled for ...
(Date:6/2/2016)... The Department of Transport Management (DOTM) of ... Dollar project, for the , Supply and Delivery ... IT Infrastructure , to Decatur ... Identity Management Solutions. Numerous renowned international vendors participated in the ... was selected for the most compliant and innovative solution. The ...
Breaking Biology News(10 mins):
(Date:6/27/2016)... /PRNewswire/ - BIOREM Inc. (TSX-V: BRM) ("Biorem" or "the Company") ... shareholders, Clean Technology Fund I, LP and Clean Technology ... based venture capital funds which together hold approximately 59% ... diluted, as converted basis), that they have entered into ... holdings in Biorem to TUS Holdings Co. Ltd. ("TUS") ...
(Date:6/27/2016)... N.C. (PRWEB) , ... June 27, 2016 , ... ... commercial operations for Amgen, will join the faculty of the University of ... as adjunct professor of strategy and entrepreneurship at UNC Kenan-Flagler, with a focus ...
(Date:6/24/2016)... ... June 24, 2016 , ... While the majority of commercial spectrophotometers and fluorometers ... the 6000i models are higher end machines that use the more unconventional z-dimension of ... beam from the bottom of the cuvette holder. , FireflySci has developed several ...
(Date:6/23/2016)... TORONTO , June 23, 2016 /PRNewswire/ - ... Ontario biotechnology company, Propellon ... the development and commercialization of a portfolio of ... cancers. Epigenetic targets such as WDR5 represent an ... contribute significantly in precision medicine for cancer patients. ...
Breaking Biology Technology: