Imaging Agent Helps Predict Success of Lung Cancer Therapy

Hanae Armitage, science writer for the medical school's Office of Communication & Public Affairs

March 7, 2018

With the help of a new radioactive tracer, doctors can predict with more than 80 percent accuracy how well a widely-used lung cancer drug will combat tumors, according to researchers at Stanford.

Doctors contemplating the best therapy for lung cancer patients may soon be able to predict the efficacy of a widely used lung cancer drug based on an imaging agent and a simple scan, according to the findings of a new clinical trial co-led by researchers at the Stanford University School of Medicine.

The researchers developed a PET scan-compatible imaging agent engineered to seek out a specific mutation found in nonsmall cell lung cancer (which accounts for about 80 percent of lung cancers), bind to it and emit a radioactive signal that flags its presence. In addition to exposing the molecular roots of tumors, the imaging agent reveals potential weak spots in the cancer where specific therapeutic drugs can be administered to counteract the pro-tumor mutation.

“Some people wonder, ‘Can’t you just prescribe the drug and wait to see if the tumor shrinks? If it shrinks, then you know it’s working,’” said Sanjiv “Sam” Gambhir, MD, PhD, professor and chair of radiology at Stanford.

While in broad strokes that’s true, there’s a flaw to that approach: If the therapy isn’t effective, the tumors will not only continue to grow, but continue to become more molecularly complex. “In the time you waited to see if the tumors shrank, those tumors continued to evolve, and that makes it more difficult to treat with the next round of therapy,” Gambhir said.

That’s where a relatively quick scan could come in very handy; patients whose tumor sites don’t emit the tracer’s signal while undergoing a PET scan likely don’t harbor the mutation, and can be spared the treatment.

A paper describing the findings of the trial was published March 7 in Science Translational Medicine. The senior authors of the paper are Gambhir, who also holds the Virginia and D. K. Ludwig Professorship in Cancer Research; Zhen Cheng, PhD, associate professor of radiology at Stanford; and Baozhong Shen, MD, PhD, director of the Molecular Imaging Research Center at Harbin Medical University in China. The lead author is Xilin Sun, MD, former trainee in the Molecular Imaging Program at Stanford and now an associate professor of radiology at Harbin.

‘Like a full-body biopsy’

As with many cancer-imaging agents, the new tracer, called F-MPG, works with a PET scan, a common imaging technique used to spot signs of disease while using radioactive tracers. While there’s no shortage of PET scan tracers, Gambhir likens the development of these imaging agent to the development of drugs.

“There are hundreds of drugs, just like there are hundreds of imaging agents; we have to keep building new ones for different purposes,” he said. “We have to keep looking for different ways to interrogate the underlying biology of the tumor, and the new method we’ve developed goes after actually measuring mutations in the tumor.”

There are hundreds of drugs, just like there are hundreds of imaging agents; we have to keep building new ones for different purposes.

Most PET scans use a tracer that can only tell if a tumor is active in terms of its metabolism. In this case, F-MPG can tell doctors whether the tumor cells are present and whether they contain a mutated version of a protein called epidermal growth factor, which when overexpressed spurs cell division. The F-MPG tracer floats throughout the body, glomming onto any mutated epidermal growth factor proteins. Once latched on, it emits blips of detectable energy in the form of gamma rays, revealing the location and mutational details of the culprit protein.

“If the PET scan shows a high signal from the tracer in a patient’s lung cancer, that’s predictive of someone who is going to respond well to the specific epidermal growth factor therapy,” Gambhir said. “For those who show low signals, they’re likely not going to respond, so you need to look into other treatment options.”

Gambhir points out that biopsies, or a sample of the tumor, can also tell doctors what mutations are present. But tumors are so complex that a single biopsy may not accurately capture the spectrum of mutations present in the mass, and it’s even less likely to characterize the mutations present in multiple tumors including those that have spread throughout the body.

“One way to think about this imaging technique is like it’s taking a biopsy of the entire body, and that gives a much more complete picture of the mutational status of the primary tumor, which allows you much better information to treat the cancer,” Gambhir said.

Guided by the glow

At Harbin Medical University, members of the research team conducted a 75-participant clinical trial with the tracer, monitoring which tumors lit up (or had a high signal) on a PET scan and which had a low signal. Among the participants whose tumors appeared with the help of the tracer — meaning their tumor cells had the epidermal growth factor mutation — more than 80 percent saw a positive response from the targeted drug: Either their tumors shrank or tumor growth slowed. In contrast, only 6 percent of participants who lacked PET scan evidence of the mutation benefited from the drug.

Gambhir noted that the clinical trial was the first time this tracer had been used in humans. The next stage of the research, he said, is to recruit more participants for an even larger trial and, barring unexpected complications, eventually use the tracer’s data to guide treatment plans for lung cancer patients. Currently, the tracer is only approved for use in China, so the studies will continue at Harbin.

“We’d like to continue to build our collaboration with the terrific group at Harbin, and work toward a clinical trial network in China for testing many different tracers,” he said.

The team’s work is an example of Stanford Medicine’s focus on precision health, the goal of which is to anticipate and prevent disease in the healthy and precisely diagnose and treat disease in the ill.

Cheng and Gambhir are both members of Stanford Bio-X and the Stanford Cancer Institute. Gambhir also is a member of the Stanford Cardiovascular Institute and the Stanford Neurosciences Institute.

Researchers at Fudan University in Shanghai also contributed to the work.

The study was funded by the National Basic Research Program of China, the National Natural Science Foundation of China, Heilongjiang Province Foundation for Returned Overseas Chinese Scholars and the Key Laboratory of Molecular Imaging Foundation.

Stanford’s Department of Radiology also supported the work.

Posted in: Precision Medicine, R&D

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