ReviewEJNMMI radiopharmacy and chemistry2022
Potential PET tracers for imaging of tumor-associated macrophages.
Review in EJNMMI radiopharmacy and chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 17 citations in OpenAlex.
- Exploring macrophage polarization: biological insights, key laboratory techniques and research perspectives.Frontiers in immunology · 2026Review
- First performance evaluation of easyPET.3D, a high-resolution and cost-effective benchtop preclinical PET scanner.EJNMMI physics · 2025Article
- Imaging of tumor-associated macrophage dynamics during immunotherapy using a CD163-specific nanobody-based immunotracer.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Imaging tumor and ascites-associated macrophages in a mouse model of metastatic ovarian cancer.EJNMMI research · 2024Article
- Tumor-Associated Macrophage Targeting of Nanomedicines in Cancer Therapy.Pharmaceutics · 2023Review
- Candidate Tracers for Imaging Colony-Stimulating Factor 1 Receptor in Neuroinflammation with Positron Emission Tomography: Issues and Progress.ACS pharmacology & translational science · 2023Review
- Deciphering sources of PET signals in the tumor microenvironment of glioblastoma at cellular resolution.Science advances · 2023Article
- Phase I Study of [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023Article
- Correlation of tumor-associated macrophage infiltration in glioblastoma with magnetic resonance imaging characteristics: a retrospective cross-sectional study.Quantitative imaging in medicine and surgery · 2023Article
- Advances in PET/CT Imaging for Breast Cancer.Journal of clinical medicine · 2023Review
- Skin Cancer Pathobiology at a Glance: A Focus on Imaging Techniques and Their Potential for Improved Diagnosis and Surveillance in Clinical Cohorts.International journal of molecular sciences · 2023Review
- Tumor-associated macrophages: Prognostic and therapeutic targets for cancer in humans and dogs.Frontiers in immunology · 2023Review
- Targeting Tumor-Associated Macrophages for Imaging.Pharmaceutics · 2022Review
- Highlight selection of radiochemistry and radiopharmacy developments by editorial board.EJNMMI radiopharmacy and chemistry · 2022Review
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increasing incidence of cancer over the years is one of the most challenging problems in healthcare. As cancer progresses, the recruitment of several immune cells is triggered. Infiltration of tumor-associated macrophages (TAMs) is correlated with poor patient prognosis. Since TAMs constitute a big portion of the tumor mass, targeting these cells seems to be an attractive approach for cancer immunotherapy. Additionally, TAM assessment using non-invasive imaging techniques, such as positron emission tomography (PET), might provide a better understanding of the role of TAMs in cancer, and a means for tumor profile characterization, patient selection for individualized immunotherapy and treatment monitoring. Imaging of TAMs using PET tracers is still in its infancy. TAMs have several characteristics that could be exploited as potential targets for imaging. Various PET tracers for these TAM biomarkers have been developed, although often in the context of (neuro)inflammatory diseases rather than cancer. Since macrophages in inflammatory diseases express similar biomarkers as TAMs, these PET tracers could potentially also be applied for the assessment of TAMs in the tumor microenvironment. Therefore, the present review provides an overview of the TAM biomarkers, for which potential PET tracers are available and discusses the status of these tracers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.