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Large-scale tumor profiling deemed feasible, but challenges remain


 

Genome testing

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National Institute of

General Medical Sciences

New research suggests large-scale genomic profiling is technically feasible in a broad population of cancer patients.

However, the study also revealed challenges and barriers to widespread implementation of precision medicine, according to researchers.

Specifically, half of the patients studied did not receive results of genomic profiling due to insufficient samples or sequencing failure.

Most patients who did receive results did not see a change in their care.

However, genomic profiling provided an accurate diagnosis and changed treatment for a handful of the patients studied.

Lynette M. Sholl, MD, of Brigham and Women’s Hospital in Boston, Massachusetts, and her colleagues reported these findings in JCI Insight.

The report contains data on pediatric and adult patients with a range of malignancies.

Patient samples were analyzed using OncoPanel. This platform sequences hundreds of known cancer-related genes to look for alterations that drive tumors and might be helpful in guiding treatment choice or enrolling the patient in an appropriate clinical trial.

This study began with 7397 patients, but many of these individuals did not have specimens adequate for sequencing. This left 3892 patients (53%) to undergo genomic profiling, but sequencing failed in 165 (4%) of them. So sequencing was successful in 3727 patients, or 50% of the overall population.

Of the 3727 patients in whom sequencing was successful, 73% had at least 1 genetic alteration that was considered “clinically actionable or informative” by the researchers.

This included 54% of patients with alterations that might be used to inform diagnosis or recommend enrollment in a clinical trial. It also included 19% of patients who had an alteration that “would inform standard-of-care therapeutic decision-making,” according to the researchers.

The team provided several examples of how genomic testing clarified or changed a patient’s diagnosis, which, in turn, altered treatment and prognosis.

One example was a patient who was originally diagnosed with peripheral T-cell lymphoma, which was later revised to myeloid sarcoma. Sequencing results suggested the patient actually had FIP1L1-PDGFRA-driven acute myeloid leukemia, which predicted responsiveness to imatinib.

The patient was treated with imatinib and experienced a “dramatic and sustained clinical response.” He then proceeded to allogeneic transplant and had no evidence of disease at 1 year of follow-up.

The researchers concluded that genomic sequencing results may alter the management of cancer patients in some cases, but certain barriers must be overcome to enable precision cancer medicine on a large scale.

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