Margenza receives FDA approval for metastatic HER2-positive breast cancer

Share on facebook
Share on twitter
Share on linkedin
Share on email
Share on print

FDA has approved Margenza (margetuximab-cmkb) in combination with chemotherapy, for the treatment of adult patients with metastatic HER2-positive breast cancer who have received two or more prior anti-HER2 regimens, at least one of which was for metastatic disease.

Margenza is sponsored by MacroGenics.

Efficacy was evaluated in SOPHIA (NCT02492711), a randomized, multicenter, open-label trial of 536 patients with IHC 3+ or ISH-amplified HER2+ metastatic breast cancer who had received prior treatment with other anti-HER2 therapies. Patients were randomized (1:1) to margetuximab plus chemotherapy or trastuzumab plus chemotherapy. Randomization was stratified by chemotherapy choice (capecitabine, eribulin, gemcitabine, or vinorelbine), number of lines of therapy in the metastatic setting (≤ 2, > 2), and number of metastatic sites (≤ 2, > 2).

The main efficacy outcome measures were progression-free survival by blinded independent central review and overall survival. Additional efficacy outcome measures were objective response rate and duration of response assessed by BICR.

Median PFS in the margetuximab arm was 5.8 months (95% CI: 5.5, 7.0) compared with 4.9 months (95% CI: 4.2, 5.6) in the control arm (HR 0.76; 95% CI: 0.59, 0.98; p=0.033). Confirmed ORR was 22% (95% CI: 17, 27) with a median DOR of 6.1 months (95% CI: 4.1, 9.1) in the margetuximab arm compared to an ORR of 16% (95% CI: 12, 20) and median DOR of 6.0 months (95%CI: 4.0, 6.9) in the control arm.

Table of Contents

YOU MAY BE INTERESTED IN

In his first sit-down interview since beginning his role as FDA commissioner 17 days earlier, Marty Makary, a former Johns Hopkins surgeon and the only Trump pick for HHS whose confirmation received Democratic support, said he would speed up approvals for rare-disease treatments by reducing reliance on animal testing and shifting towards organoids and computational models. 

Never miss an issue!

Get alerts for our award-winning coverage in your inbox.

Login