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Laudicella R, Rüschoff JH, Ferraro DA, Brada MD, Hausmann D, Mebert I, Maurer A, Hermanns T, Eberli D, Rupp NJ, Burger IA. Infiltrative growth pattern of prostate cancer is associated with lower uptake on PSMA PET and reduced diffusion restriction on mpMRI. Eur J Nucl Med Mol Imaging 2022; 49:3917-3928. [PMID: 35435496 PMCID: PMC9399036 DOI: 10.1007/s00259-022-05787-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 03/29/2022] [Indexed: 01/21/2023]
Abstract
Purpose Recently, a significant association was shown between novel growth patterns on histopathology of prostate cancer (PCa) and prostate-specific membrane antigen (PSMA) uptake on [68Ga]PSMA-PET. It is the aim of this study to evaluate the association between these growth patterns and ADC (mm2/1000 s) values in comparison to [68Ga]PSMA uptake on PET/MRI. Methods We retrospectively evaluated patients who underwent [68Ga]PSMA PET/MRI for staging or biopsy guidance, followed by radical prostatectomy at our institution between 07/2016 and 01/2020. The dominant lesion per patient was selected based on histopathology and correlated to PET/MRI in a multidisciplinary meeting, and quantified using SUVmax for PSMA uptake and ADCmean for diffusion restriction. PCa growth pattern was classified as expansive (EXP) or infiltrative (INF) according to its properties of forming a tumoral mass or infiltrating diffusely between benign glands by two independent pathologists. Furthermore, the corresponding WHO2016 ISUP tumor grade was evaluated. The t test was used to compare means, Pearson’s test for categorical correlation, Cohen’s kappa test for interrater agreement, and ROC curve to determine the best cutoff. Results Sixty-two patients were included (mean PSA 11.7 ± 12.5). The interrater agreement between both pathologists was almost perfect with κ = 0.81. While 25 lesions had an EXP-growth with an ADCmean of 0.777 ± 0.109, 37 showed an INF-growth with a significantly higher ADCmean of 1.079 ± 0.262 (p < 0.001). We also observed a significant difference regarding PSMA SUVmax for the EXP-growth (19.2 ± 10.9) versus the INF-growth (9.4 ± 6.2, p < 0.001). Within the lesions encompassing the EXP- or the INF-growth, no significant correlation between the ISUP groups and ADCmean could be observed (p = 0.982 and p = 0.861, respectively). Conclusion PCa with INF-growth showed significantly lower SUVmax and higher ADCmean values compared to PCa with EXP-growth. Within the growth groups, ADCmean values were independent from ISUP grading. Supplementary information The online version contains supplementary material available at 10.1007/s00259-022-05787-9.
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Affiliation(s)
- Riccardo Laudicella
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Rämistrasse 10, 8091, Zurich, Switzerland
- Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, Nuclear Medicine Unit, University of Messina, Messina, Italy
| | - Jan H Rüschoff
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Daniela A Ferraro
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Rämistrasse 10, 8091, Zurich, Switzerland
- Department of Radiology and Oncology, Faculdade de Medicina, FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Muriel D Brada
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Daniel Hausmann
- Department of Radiology, Kantonsspital Baden, Baden, Switzerland
- Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany
| | - Iliana Mebert
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Rämistrasse 10, 8091, Zurich, Switzerland
- Department of Urology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Alexander Maurer
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Rämistrasse 10, 8091, Zurich, Switzerland
| | - Thomas Hermanns
- Department of Urology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Daniel Eberli
- Department of Urology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Niels J Rupp
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Irene A Burger
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Rämistrasse 10, 8091, Zurich, Switzerland.
- Department of Nuclear Medicine, Kantonsspital Baden, Baden, Switzerland.
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Läubli H, Müller P, D'Amico L, Buchi M, Kashyap AS, Zippelius A. The multi-receptor inhibitor axitinib reverses tumor-induced immunosuppression and potentiates treatment with immune-modulatory antibodies in preclinical murine models. Cancer Immunol Immunother 2018; 67:815-824. [PMID: 29487979 PMCID: PMC11028099 DOI: 10.1007/s00262-018-2136-x] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 02/20/2018] [Indexed: 12/28/2022]
Abstract
Cancer immunotherapies have significantly improved the prognosis of cancer patients. Despite the clinical success of targeting inhibitory checkpoint receptors, including PD-1 and/or CTLA-4 on T cells, only a minority of patients derive benefit from these therapies. New strategies to improve cancer immunotherapy are therefore needed. Combination therapy of checkpoint inhibitors with targeted agents has promisingly shown to increase the efficacy of immunotherapy. Here, we analyzed the immunomodulatory effects of the multi-receptor tyrosine kinase inhibitor axitinib and its efficacy in combination with immunotherapies. In different syngeneic murine tumor models, axitinib showed therapeutic efficacy that was not only mediated by VEGF-VEGFR inhibition, but also through the induction of anti-cancer immunity. Mechanistically, a significant reduction of immune-suppressive cells, including a decrease of tumor-promoting mast cells and tumor-associated macrophages was observed upon axitinib treatment. Inhibition of mast cells by axitinib as well as their experimental depletion led to reduced tumor growth. Of note, treatment with axitinib led to an improved T cell response, while the latter was pivotal for the therapeutic efficacy. Combination with immune checkpoint inhibitors anti-PD-1 and anti-TIM-3 and/or agonistic engagement of the activating receptor CD137 resulted in a synergistic therapeutic efficacy. This demonstrates non-redundant immune activation induced by axitinib via modulation of myeloid and mast cells. These findings provide important mechanistic insights into axitinib-mediated anti-cancer immunity and provide rationale for clinical combinations of axitinib with different immunotherapeutic modalities.
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MESH Headings
- Animals
- Antibodies, Monoclonal/pharmacology
- Axitinib
- Carcinoma, Lewis Lung/drug therapy
- Carcinoma, Lewis Lung/immunology
- Carcinoma, Lewis Lung/pathology
- Disease Models, Animal
- Drug Synergism
- Hepatitis A Virus Cellular Receptor 2/antagonists & inhibitors
- Hepatitis A Virus Cellular Receptor 2/immunology
- Imidazoles/pharmacology
- Immunosuppression Therapy
- Immunotherapy
- Indazoles/pharmacology
- Mice
- Mice, Inbred C57BL
- Programmed Cell Death 1 Receptor/antagonists & inhibitors
- Programmed Cell Death 1 Receptor/immunology
- Protein Kinase Inhibitors/pharmacology
- Receptors, Vascular Endothelial Growth Factor/antagonists & inhibitors
- Tumor Cells, Cultured
- Tumor Necrosis Factor Receptor Superfamily, Member 9/antagonists & inhibitors
- Tumor Necrosis Factor Receptor Superfamily, Member 9/immunology
- Vascular Endothelial Growth Factor A/antagonists & inhibitors
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Affiliation(s)
- Heinz Läubli
- Laboratory of Cancer Immunology, Department of Biomedicine, University Hospital and University of Basel, Hebelstr. 20, 4031, Basel, Switzerland.
- Division of Oncology, Department of Internal Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
| | - Philipp Müller
- Laboratory of Cancer Immunology, Department of Biomedicine, University Hospital and University of Basel, Hebelstr. 20, 4031, Basel, Switzerland
- Division of Oncology, Department of Internal Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland
- Department of Cancer Immunology and Immune Modulation, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88400, Biberach an der Riss, Germany
| | - Lucia D'Amico
- Laboratory of Cancer Immunology, Department of Biomedicine, University Hospital and University of Basel, Hebelstr. 20, 4031, Basel, Switzerland
- Division of Oncology, Department of Internal Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - Mélanie Buchi
- Laboratory of Cancer Immunology, Department of Biomedicine, University Hospital and University of Basel, Hebelstr. 20, 4031, Basel, Switzerland
- Division of Oncology, Department of Internal Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - Abhishek S Kashyap
- Laboratory of Cancer Immunology, Department of Biomedicine, University Hospital and University of Basel, Hebelstr. 20, 4031, Basel, Switzerland
- Division of Oncology, Department of Internal Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - Alfred Zippelius
- Laboratory of Cancer Immunology, Department of Biomedicine, University Hospital and University of Basel, Hebelstr. 20, 4031, Basel, Switzerland.
- Division of Oncology, Department of Internal Medicine, University Hospital Basel, Petersgraben 4, 4031, Basel, Switzerland.
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