Lunsumio Concentrate
Product Images NDC 50242-142

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 3 technical images submitted to the FDA as part of the official labeling for Lunsumio (NDC 50242-142). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Genentech, Inc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Figure 1 (Lunsumio 01)

Figure 1 (Lunsumio 01)
This appears to be a graph or chart showing the concentration of Mosunetuzumab-axgb over time, with time measured in days on the x-axis and concentration measured in ng/mL on the y-axis. There is also a percentile prediction interval shown, but without additional context it is unclear what this refers to.*
FDA Label Image

Principal Display Panel (30 mg/30 mL Vial Carton)

Principal Display Panel (30 mg/30 mL Vial Carton)
NDC 50242-142-01 is a Lunsumio branded injection, containing mosunetuzumab-axgb. It has a concentration of 30 mg/30 mL and is intended for intravenous infusion only. It comes in a single-dose vial, and the unused portion should be discarded. A medication guide should be provided to each patient. It is manufactured by Genentech.*
FDA Label Image

Principal Display Panel (1 mg/mL Vial Carton)

Principal Display Panel (1 mg/mL Vial Carton)
This is a description of Lunsumioâ„¢, an injection medication containing mosunetuzumab-axgb at a concentration of 1mg/mL. It is intended for intravenous infusion use only and comes in a single-dose vial. Any unused portion of the vial must be discarded. The medication guide inside the package should be dispensed to each patient. The NDC code for the medication is 50242-159-01, and it is manufactured by Genentech.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.