Affibody reported results from the first 10 patients to undergo PET imaging with its gallium-68 (Ga-68) ABY-025 tracer for detecting breast cancer.
The company is developing Ga-68 ABY-025 PET as a test to identify human epidermal growth factor receptor 2 (HER2) protein in solid tumors. The status of HER2 in tumors can help determine treatment approaches for patients.
In the study, participants with a previously biopsy-confirmed HER2-low metastatic breast cancer underwent a HER2-PET with Ga-68 ABY-025 followed by a new tumor biopsy guided by the results from the PET images. According to the results, uptake of the radiotracers was observed in cancer lesions in all patients with HER2-low metastatic breast cancer.
In addition, clear HER2 signals were seen in lesions from two patients with tumor biopsies that were HER2-negative, the company noted.
![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
