Abstract 482P
Background
HER2-low metastatic breast cancer (mBC) is a clinically relevant subgroup with promising treatment options. Challenges relate to establishing HER2-low status when biopsies are not feasible, and little is known about disease heterogeneity. PET-imaging with a HER2-specific tracer could shed light on these issues.
Methods
At the Karolinska Comprehensive Cancer Center in Stockholm, Sweden we conducted a proof-of-concept prospective imaging study with the [68Ga]Ga-ABY-025 tracer in patients with mBC with a previous HER2-low tumor biopsy, who were scheduled for a new line of systemic therapy. A HER2-PET and tumor biopsy (immunohistochemistry [IHC] and in situ hybridization [ISH]) were performed. The study was funded by the Swedish Breast Cancer Society and Stockholm’s Region.
Results
Seventeen patients were informed, ten patients provided written consent and in ten, paired PET and biopsy results are available (Table). No unexpected side effects were noted. In all, HER2-PET revealed areas with [68Ga]Ga-ABY-025 maximal Standardized Uptake Value (SUVmax) higher than background ratio. HER2-low status was confirmed in tumor biopsies in eight, whereas two patients had HER2 0 in a tumor lesion that was avid on HER2-PET. Substantial heterogeneity was observed in [68Ga]Ga-ABY-025 uptake between different lesions within the same patient. Table: 482P
Pat ID | HER2-PET | Biopsy | |||||||
Metastases | SUVmax tumor | SUVmax spleen | SUVmax liver * | SUVmax myocardium (left chamber) | Site | ER/PR/Ki67 | HER2 IHC biopsy | HER2/C17 gene amplification quote | |
1 | Liver | 12.9 | 2.6 | 9.1 | 3.1 | Liver | 100/100/19 | IHC 1+ | 2.85/1.02.85 |
2 | Bone and lymph nodes | 6.1 | 3.9 | 13.7 | 4.4 | Lymph node | 0/0/95 | IHC 1+ | - |
3 | Liver | 28.7 | 3.0 | n.a. | 4.1 | Liver | 80/70/x | IHC 2+ | 3.3/2.31.4 |
4 | Bone and liver | 10.7 | 5.0 | n.a. | 3.2 | Liver | 80/70/78 | IHC 1+ | 4.4/2.51.76 |
5 | Bone and liver | 24.9 | 3.9 | 13.4 | 4.1 | Liver | 30/0/60 | IHC 0 | - |
6 | Bone, skin, liver | 3.7 | 2.8 | n.a. | 3.1 | Skin | 0/0/39 | IHC 0 | - |
7 | Breast, brain | 10.3 | 2.3 | 13.8 | 3.8 | Breast | 60/0/40 | IHC 2+ | 3.6/1.452.48 |
8 | Liver | 33.4 | 2.7 | 13.3 | 4.1 | Liver | 95/0/3 | IHC 2+ | 1.3/1.80.7 |
9 | Bone, liver | 19.0 | 3.0 | n.a. | 3.7 | Liver | 95/95/13 | IHC 2+ | 2.25/1.551.45 |
10 | Liver, bone | 12.0 | 2.7 | n.a | 2.7 | Liver | 0/0/33 | IHC 2+ | 2.65/1.351.96 |
* measured on healthy liver tissue
Conclusions
The visualization of HER2-expressing mBC with [68Ga]Ga-ABY-025 PET/CT is feasible and safe. An intriguing finding is the fact that we noted tracer uptake in lesions that are HER2 0. A continued study is planned where patients with HER2-low mBC are selected for HER2-antibody drug conjugate based on HER2-status on PET and/or IHC.
Clinical trial identification
NCT05619016 EU CT 2022-500448-39-00.
Editorial acknowledgement
Legal entity responsible for the study
Karolinska University Hospital/Region Stockholm.
Funding
Grants from the Swedish government under the ALF-agreement (SLL20200025), Sjöberg Foundation (929649), and the Swedish Breast Cancer Society (190850).
Disclosure
N. Brun, F. Y. Frejd: Financial Interests, Personal, Full or part-time Employment: Affibody AB; Financial Interests, Personal, Leadership Role: Affibody AB; Financial Interests, Personal, Ownership Interest: Affibody AB. T.A. Tran: Financial Interests, Personal, Stocks or ownership: Diaprost; Financial Interests, Personal, Research Funding: Affibody AB; Financial Interests, Personal, Royalties: Diaprost. All other authors have declared no conflicts of interest.
Resources from the same session
1266P - Prediction of lung cancer risk in ground-glass nodules using deep learning from CT images
Presenter: Anil Vachani
Session: Poster session 04
1267P - Enhancing pulmonary nodule diagnosis: A combinatorial model of cfDNA methylation, plasma proteins and LDCT imaging
Presenter: Meng Yang
Session: Poster session 04
1268P - Liquid biopsy and CT-based multi-omics fusion enhances differential diagnosis of early-stage lung adenocarcinoma
Presenter: Yanwei Zhang
Session: Poster session 04
1269P - Machine learning model for predicting lung cancer recurrence after surgical treatment: A retrospective study using NLST and European hospital data
Presenter: Ann Valter
Session: Poster session 04
1272P - Postoperative survival prediction in non-small cell lung cancer patients based on driver genotypes
Presenter: Huiting Wang
Session: Poster session 04
1273P - The prognostic value evaluation of a tissue Comprehensive Genomic Profiling (CGP)-informed personalized MRD detection assay in NSCLC
Presenter: Wei Gao
Session: Poster session 04
1274P - Early dynamics of circulating tumor DNA following curative hypofractionated radiotherapy related to disease control in lung cancer
Presenter: Kyungmi Yang
Session: Poster session 04
1275P - Genomic analysis of lung adenocarcinoma with micropapillary component: Identification of micropapillary-related subtypes and development of a prognostic model
Presenter: Yuechun Lin
Session: Poster session 04
1276P - Genomic screening by multi-gene assay for perioperative targeted therapy in patients with early-stage non-small cell lung cancer: LC-SCRUM-Advantage/MRD
Presenter: Kiyotaka Yoh
Session: Poster session 04