Imaging agent helps predict success of lung cancer therapy

Posted: 9 March 2018 | | No comments yet

Doctors may soon be able to predict the efficacy of a widely used lung cancer drug based on an imaging agent and a simple scan.

Imaging agent helps predict success of lung cancer therapy

This is 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 non-small cell lung cancer (which accounts for about 80% of lung cancers), bind to it and emit a radioactive signal that flags its presence. In addition to exposing the molecular roots of tumours, the imaging agent reveals potential weak spots in the cancer where specific therapeutic drugs can be administered to counteract the pro-tumour mutation.

“Some people wonder, ‘Can’t you just prescribe the drug and wait to see if the tumour 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 tumours will not only continue to grow, but continue to become more molecularly complex. “In the time you waited to see if the tumours shrank, those tumours continued to evolve, and that makes it more difficult to treat with the next round of therapy,” continued Gambhir.

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

A paper describing the findings of the trial are published 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 agents 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 tumour, and the new method we’ve developed goes after actually measuring mutations in the tumour.”

Most PET scans use a tracer that can only tell if a tumour is active in terms of its metabolism. In this case, F-MPG can tell doctors whether the tumour 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 tumour, can also tell doctors what mutations are present. But tumours 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 characterise the mutations present in multiple tumours 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 tumour, 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 tumours lit up (or had a high signal) on a PET scan and which had a low signal. Among the participants whose tumours appeared with the help of the tracer – meaning their tumour cells had the epidermal growth factor mutation – more than 80% saw a positive response from the targeted drug: Either their tumours shrank or tumour growth slowed. In contrast, only 6% 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.