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Prostate-specific membrane antigen (PSMA) is a target for diagnostic positron emission tomography (PET)-tracers and radiopharmaceutical therapy (RPT), for example, [Lu]Lu-PSMA-617, in prostate cancer. This autoradiography study investigates [Lu]Lu-PSMA-617 intratumoral distribution over time, compared with PSMA expression, proliferation (Ki67), and [Ga]Ga-PSMA-11, [F]F-PSMA-1007, [F]-fluorodeoxyglucose, and [F]-fluorocholine distribution. Mice with LNCaP, 22Rv1, or PC-3 PIP xenografts got [Lu]Lu-PSMA-617 i.v. Sacrificed 1 h p.i. if coinjected with diagnostic tracers, otherwise at 20 min, 1-2, 12, 24, 48, 72 h, or 2-3 weeks p.i. Cryosectioned tumors imaged by autoradiography, adjacent sections Ki67 or PSMA stained. Heterogeneous distribution of [Lu]Lu-PSMA-617 was seen 20 min p.i., with visible overlap between tumor cells, Ki67, PSMA, and radioactivity at 1-2 h p.i. Strongest Ki67-correlation at 48 h, which became negative at 72 h and beyond with some Ki67+/PSMA+ low radioactivity areas. Uptake in necrotic tissue was only observed at 2-3 weeks p.i. PSMA-targeted tracers distributed identically to [Lu]Lu-PSMA-617 whereas other tracers only had some overlap. Regrowth of the tumor post-[Lu]Lu-PSMA-617 administration creates Ki67+/PSMA+ areas that have no radioactivity uptake and need additional therapy fractions. The identical intratumoral distribution of [Lu]Lu-PSMA-617 and PSMA-targeted PET-tracers indicate that these will reveal the areas inside the tumor targeted by RPT at least at 1 h p.i.
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http://dx.doi.org/10.1089/cbr.2024.0170 | DOI Listing |
NPJ Precis Oncol
September 2025
Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Breast cancer is a highly heterogeneous disease with diverse outcomes, and intra-tumoral heterogeneity plays a significant role in both diagnosis and treatment. Despite its importance, the spatial distribution of intra-tumoral heterogeneity is not fully elucidated. Spatial transcriptomics has emerged as a promising tool to study the molecular mechanisms behind many diseases.
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
Background: Tertiary lymphoid structures (TLSs) are linked to prognosis in esophageal squamous cell carcinoma (ESCC), but whether the distribution, abundance, and maturity of TLSs affect therapeutic efficacy and prognosis in ESCC treated with neoadjuvant chemoradiotherapy plus immunotherapy (NRCI) remains unclear. We explored TLS characteristics and correlated them with patient survival.
Methods: A total of 157 resectable ESCC patients treated with neoadjuvant therapy between September 2020 and May 2023 were divided into NRCI (n=49) and neoadjuvant chemoimmunotherapy (NCI, n=108) groups.
Neuro Oncol
September 2025
Department of Radiation Oncology, Mayo Clinic, Rochester, MN, USA.
Background: Disruption of the blood-brain barrier (BBB) in high-grade brain tumors is characterized by contrast accumulation on diagnostic imaging. This window of opportunity study correlates contrast imaging features with the tumor distribution of BBB-permeable (levetiracetam) and -impermeable (cefazolin) drugs.
Methods: Patients with a clinical diagnosis of a high-grade brain tumor underwent MRI for surgical planning.
Nat Med
September 2025
INSERM 1279, Gustave Roussy, Villejuif, France.
Antibody-drug conjugates have shown impressive clinical outcomes, particularly in metastatic breast cancer, but biomarkers to predict response and resistance remain unidentified. Here we report the results of ICARUS-BREAST01, a phase 2 study evaluating efficacy, safety and biomarkers of response and resistance to patritumab deruxtecan (HER3-DXd), in patients with HRHER2 metastatic breast cancer, who previously progressed on CDK4/6 inhibitors and one line of chemotherapy. From May 2021 to June 2023, 99 patients were enrolled to receive HER3-DXd 5.
View Article and Find Full Text PDFQuant Imaging Med Surg
September 2025
Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.
Background: Accurate grading of meningiomas is crucial for patient prognostication and management. Intratumoral heterogeneity may lead to differences in the biological and radiological properties observed within different tumor subregions. This study aimed to represent the spatial distributions and local patterns of tumor heterogeneity in meningiomas using non-invasive habitat analysis on filtered multisequence magnetic resonance imaging (MRI) and evaluate the utility of integrated models combining habitat and clinical data for meningioma grade prediction.
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