"This approach gives us a way to figure out what's driving the growth of a cancer in an individual patient and ultimately match that patient with the right drug," said Druker, who is based at the Oregon Health & Science University in Portland. Druker's team collaborated on the research, which was published in the July 17, 2006, issue of the journal Cancer Cell, with scientists in the lab of D. Gary Gilliland, an HHMI investigator at Brigham and Women's Hospital, as well as researchers at the Portland VA Medical Center, Cell Signaling Technology, the University of Chicago, and Yale University.

Traditionally, cancer-gene hunters have scanned the genome looking for mutations that trigger out-of-control cell growth. Druker tried this approach, but found it wanting. "We were doing some high-throughput DNA sequencing, and we weren't really finding much," he said.

Instead, the team added tools from the burgeoning field of proteomics, the study of proteins. "We decided this more functional assay would get us to the disease-causing genes more rapidly," said Druker, who has been studying a group of cell-signaling proteins called tyrosine kinases for 20 years.

Tyrosine kinases play a key role in many cancers. In healthy cells, they help form a chain of signals that prompt normal cell growth and division. Sometimes, though, a tyrosine kinase gets stuck in an "on" position, driving out-of-control cell division and, ultimately, cancer. This potentially devastating kinase activation carries a calling card in the form of a molecule called a phosphate.

"The phosphates signal activated tyrosine kinases," said Druker. "So we decided to use the phosphates as markers."

To find these markers, the team took myeloid leukemia cells and chemically digested them into a mixture of protein snippets called peptides. Next, they extracted all of the peptides carrying extra phosphates and sent them through a mass spectrometer, which precisely measured the weight of each peptide. Sophisticated software then sifted through a massive protein database at the National Library of Medicine, identifying each of the team's peptides as a segment of a specific protein. The analysis showed that many of the peptides came from tyrosine kinases. Scanning this list, Druker picked out five as likely suspects.

Druker's team then introduced into their leukemia cells five segments of RNA that each shut down one of the candidate kinases. Silencing four of the kinases with RNA did nothing – the cells still grew out of control. But with the fifth, the cells no longer became cancerous.

"That left one gene to sequence. We found that the gene, called JAK3, had a mutation that drives the growth of leukemia cells in mice," said Druker. Analysis of additional patient samples later identified two more mutations in the JAK3 gene.

Thomas Mercher, a postdoctoral fellow in Gilliland's lab, then tested the mutation in a mouse model. "It was important to show that the JAK3 mutation, when introduced in mice, would lead to a leukemia-like illness. It did, confirming that the JAK3 mutations play a central role in leukemia," said Gilliland.

While Druker said that only a small proportion of AML patients likely carry JAK3 mutations, he says the technique will help find other cancer-causing mutations. The process is highly technical, but it cuts the time needed to find a faulty gene by months. "If you try to sift through DNA, it takes almost a year," said Druker. "This technique takes a couple of months and further automation would make it even quicker."

So quick, in fact, that Druker envisions the technique as a method to help choose which drug a patient's cancer will respond to – a critical step in achieving personalized medicine. Four cancer drugs that inhibit tyrosine kinases are already on the market, including Gleevec, which Druker pioneered for treatment of chronic myelogenous leukemia. Since its approval in 2001, Gleevec has made CML a much more manageable disease.

A new drug to inhibit JAK3 is already in development elsewhere, and, eventually, Druker sees a market filled with a dozen or more tyrosine kinase inhibitors. Matching the patient to the right drug will then simply be a matter of running their cancer cells through a future version of their new technique. Druker is already testing the idea. "Now we know to add JAK3 to the mutations we screen for in our leukemia patients and should look to see if JAK3 mutations are present in other cancers," he said.

Note: If no author is given, the source is cited instead.

• Leukemia
• Personalized Medicine
• Diseases and Conditions
• Cancer
• Lung Cancer
• Brain Tumor

• Embryonic stem cell
• BRCA1
• Tumor suppressor gene
• BRCA2
• Leukemia
• Stem cell treatments