Even before researchers finished sequencing the human genome, many shifted their focus to proteomics, the study of the proteins encoded in that sequence. Understanding how proteins work and how to manipulate them could provide new ways to diagnose and treat disease. This summer, proteomics took an important step toward medical application when the National Cancer Institute and the U.S. Food and Drug Administration began using proteomic tools as part of human trials for new cancer treatments.
In the three-year program, researchers will use tissue from biopsies to study how patients’ proteomic “fingerprints”-profiles of the proteins in particular cells-change during treatment. “This is the first time proteomics is being used during clinical trials with actual biopsy material,” says the FDA’s Emanuel Petricoin, codirector of the program. It’s also the first time researchers will be able to follow health-related changes in a patient’s protein profile over time. “I think it’s a great idea,” says Joshua LaBaer, director of the Institute of Proteomics at Harvard Medical School.
But it’s an ambitious idea as well, LaBaer cautions. “I’m worried the technology is not mature enough, and a lot of stuff will be missed,” he says. Indeed, detecting and analyzing these fingerprints is no easy task. Using a laser dissection device, the researchers extract cancerous, precancerous and normal cells from a tissue sample; special “protein chips” (see “Protein Chips,” TR May 2001) are then used to identify hundreds of proteins within each cell. Computers compare such fingerprints from dozens of cell types and hundreds of patients, looking for patterns associated with disease, remission and drug toxicity.
“Right now we aren’t making clinical decisions-we aren’t yet telling oncologists to change therapy,” Petricoin says. In two to three years, though, proteomic tests could be used to guide treatment, alerting a doctor when a drug is causing a toxic reaction, for example, before significant damage is done.
A quick guide to the most important AI law you’ve never heard of
The European Union is planning new legislation aimed at curbing the worst harms associated with artificial intelligence.
It will soon be easy for self-driving cars to hide in plain sight. We shouldn’t let them.
If they ever hit our roads for real, other drivers need to know exactly what they are.
Crypto is weathering a bitter storm. Some still hold on for dear life.
When a cryptocurrency’s value is theoretical, what happens if people quit believing?
Artificial intelligence is creating a new colonial world order
An MIT Technology Review series investigates how AI is enriching a powerful few by dispossessing communities that have been dispossessed before.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.