ABOVE: Mount Sinai Hospital researchers Samir Parekh and Deepak Perumal use DNA and RNA sequencing to help find new combinations of existing treatments for cancer patients.

At first, Stuart Harshbarger thought he’d injured his back lifting furniture and boxes. When the pain started, in 2008, “we’d just moved from Detroit to New York,” he explains. But the pain was excruciating, so the then 45-year-old international management consultant saw a doctor, who tested him for multiple myeloma, a blood cancer that often causes back pain. He got the results by phone while on a business trip in Germany, and was “scared to death,” he remembers.

In the decade since, Harshbarger’s odyssey has been typical of that of many multiple myeloma patients—though he’s made it past the median survival time for the disease, six years. He’s been through a series of standard treatments, most of which worked...

By 2017, “I was just completely out of options,” he recalls. At 55 years old, with a wife, one kid in high school and another in college, he was determined to hang on for as long as possible. “Every month that I can stay alive, I can improve and enhance the lives of my [family], who need my help right now,” he says. “So we’re just struggling for every month we can get, to keep the party going.”

Stuart Harshbarger with his son Casimir at a sporting event.

That year, Harshbarger entered an immunotherapy trial of autologous CAR T cells engineered to target BCMA, a protein on the surface of multiple myeloma cells. The treatment didn’t seem to affect his cancer, and by this time, he was nearly bedridden. What Harshbarger didn’t yet know was that his doctors at Mount Sinai Hospital in New York had launched a small clinical trial—not of a new treatment per se, but of a different way of finding treatment options for patients like him.

The six doctors in the hospital’s multiple myeloma program see about 3,500 patients each year, says hematologist and oncologist Samir Parekh, many of them referred by other physicians after they stop responding to standard treatments. “The Sinai myeloma program seemed to have a lot of patients that were relapsing, that were either running out of options completely, or going on to clinical trials one after another without any clear biological rationale to guide them,” he says.

Parekh, who’s trained in genomics, wanted to see if those patients could benefit from a more tailored approach—one that looked beyond standard DNA tests that zoom in on specific loci in cancer cells’ genomes. Although such tests have been useful in identifying “actionable mutations”—those that indicate the cells could be vulnerable to a particular drug—in some solid tumors, Parekh says, they’ve been less effective in blood cancers such as multiple myeloma.

“The problem in myeloma is that patients . . . have drivers that are not entirely clear from just looking at pathology reports, and even DNA sequencing doesn’t always give us a clue as to how to manage these patients,” Parekh says. “So we had to expand our search beyond the conventional methods.” Performing RNA sequencing would give the researchers a peek not just at gene mutations, but at other changes in the cancer cells that might be treatment-relevant, such as copy number variations.

Parekh and colleagues chose 64 of the hospital’s patients—including Harshbarger—who had relapsed or were not responding to standard treatments, and sequenced their cancer cells’ DNA and messenger RNA. The team was looking for anything that would signal that these patients might respond to drugs that are approved for other cancers but not usually used against multiple myeloma.

This is one of the first studies to demonstrate that there’s acutally a clinical benefit in doing this.

—Scott Newman, St. Jude Children’s Research Hospital

The work was painfully slow: sequencing and processing all that data took between four and six weeks for each patient. Parekh and his colleagues identified suggested drugs for all but one of the patients they’d sequenced, but some of their subjects had already died by that time. Others had enrolled in drug trials, and in a few cases, the doctors couldn’t get a supply of the recommended drugs. Harshbarger was one of 26 patients who got the recommended personalized treatment. His consisted of dexamethasone, an anti-inflammatory corticosteroid; carfizomib and trametinib, both myeloma treatments; venetoclax, approved for chronic lymphocytic leukemia; and ibrance, a breast cancer drug. “Nothing was working, and all of a sudden, out of a clear blue sky drops this five-drug cocktail,” he says.

Harshbarger soon felt more energetic, and was able to complete a book he was writing. He experienced a skin reaction, however, and later discontinued the treatment to enter another immunotherapy trial. Harshbarger wasn’t alone: 16 of the 21 evaluable patients in Parekh’s study responded to the recommended drugs, although only 1 experienced complete remission, and 5 had side effects such as fatigue or diarrhea. The outcomes of the other five patients weren’t included in the analysis because they either did not stay on the recommended treatment for long enough, or did not complete the scans and tests needed for evaluation. (JCO Precis Oncol, doi:10.1200/PO.18.00019, 2018)

Research on multiple myeloma has “lagged a little behind other cancers, such as solid tumors, in conducting these studies, trying to implement a personalized approach, and incorporating the -omics data in determining treatment,” says Hans Lee, a medical oncologist at MD Anderson Cancer Center in Texas who was not involved in the study. “I think this is a great launching pad to exploring further approaches to incorporate such data.”

The idea of basing cancer treatment decisions on DNA mutations is not new, although it can be difficult to sift out actionable findings from DNA sequencing data, says computational biologist Scott Newman of St. Jude Children’s Research Hospital in Tennessee who was not involved in the study. But adding in transcriptome information is a step forward, he tells The Scientist. “To my knowledge, this is one of the first studies to demonstrate that there’s actually a clinical benefit in doing this.”

Parekh says the number of patients who responded to the recommended treatments was “encouraging,” and the team is planning a larger trial of the approach. He’d also like to expand it to other cancers of the blood. One lesson learned from this initial, proof-of-concept study is that the analysis will need to be sped up, he notes, and the hospital is adding equipment and personnel to do just that.

For Harshbarger, who now lives in Greenwich, Connecticut, the personalized treatment has somewhat alleviated his own concern about time. When he spoke with The Scientist in August, he had just gone back on the combination therapy devised at Sinai after the second immunotherapy trial had failed to benefit him. Thanks to this cocktail, he was no longer living month to month—but he says he expects his cancer will eventually develop resistance to those drugs, too, leaving him out of options again: “I’m hoping to get a year.”

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