Cancer Data in The "Cloud"

Photo: Cancer graphic

This graphic depicts stained slides of ovarian
cancer tissue sections that were analyzed
using custom software to extract form and
shape features of many cells rapidly;
© Johns Hopkins University

The goal is to help doctors make better predictions about how a patient's illness will progress and what type of treatment will be most effective.

The project, supported by National Cancer Institute, was launched because researchers now realize that cancer cells affecting the same type of tissue can behave differently in different patients. Prostate cancers may grow rapidly in one patient, but expand at a glacial pace in another. A drug that kills a tumor in one patient may be useless or even harmful in the next patient.

To help doctors prepare a more personalized medical prognosis and treatment plan, Johns Hopkins has assembled experts in cancer and engineering, led by Denis. The team has begun characterizing and storing cancer data collected through a process called high-throughput cell phenotyping.

"We use scanning microscopy to take pictures of the size and shape of cancer cells," said Wirtz. "We also extract information about what is happening inside the cells and at the genetic level. We make notes of the age and gender of the patient and any treatment received. Looked at as a whole, this information can help us identify a 'signature' for a certain type of cancer.

That gives us a better idea of how it spreads and how it responds to certain drugs." He added, "The long-range goal is to make this data available through the Internet to physicians who are diagnosing and treating cancer patients around the world." Wirtz has been working with School of Medicine researchers Ralph Hruban and Anirban Maitra to begin the database with material from the files of thousands of cancer patients who have been evaluated and treated at Johns Hopkins. The patients' personal information has been deleted, but the remaining medical case data allows the researchers to trace the course of the disease from initial testing through treatment and outcome.

"This technology may provide a way to centralize specimen data, images and analysis in a way that hasn't been done before," said Maitra, a professor of pathology and oncology, "and we'll be using the information now to find better ways to treat disease."

"We may be able to correlate DNA changes that occur in individual pancreatic cancer cells with the appearance of these cells at the cellular level," said Hruban. "The potential for this approach to provide insight into the fundamental biology of pancreatic cancer is significant, as are the potential clinical applications in predicting a patient's prognosis and in guiding therapy."

According to Wirtz, the details recorded in the online database will differ from those produced in traditional biopsy evaluations. Typically, information about a patient's disease is obtained by averaging the results from trillions of cells that have been blended together. With the new scanning system, however, the Johns Hopkins researchers will obtain views of individual cells retrieved from individual patients, even from different parts of the same organ.

MEDICA.de; Source: Johns Hopkins University