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Griessinger J, Schwab J, Chen Q, Kühn A, Cotton J, Bowden G, Preibsch H, Reischl G, Quintanilla-Martinez L, Mori H, Dang AN, Kohlhofer U, Aina OH, Borowsky AD, Pichler BJ, Cardiff RD, Schmid AM. Intratumoral in vivo staging of breast cancer by multi-tracer PET and advanced analysis. NPJ Breast Cancer 2022; 8:41. [PMID: 35332139 PMCID: PMC8948294 DOI: 10.1038/s41523-022-00398-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 02/01/2022] [Indexed: 11/09/2022] Open
Abstract
The staging and local management of breast cancer involves the evaluation of the extent and completeness of excision of both the invasive carcinoma component and also the intraductal component or ductal carcinoma in situ. When both invasive ductal carcinoma and coincident ductal carcinoma in situ are present, assessment of the extent and localization of both components is required for optimal therapeutic planning. We have used a mouse model of breast cancer to evaluate the feasibility of applying molecular imaging to assess the local status of cancers in vivo. Multi-tracer positron emission tomography (PET) and magnetic resonance imaging (MRI) characterize the transition from premalignancy to invasive carcinoma. PET tracers for glucose consumption, membrane synthesis, and neoangiogenesis in combination with a Gaussian mixture model-based analysis reveal image-derived thresholds to separate the different stages within the whole-lesion. Autoradiography, histology, and quantitative image analysis of immunohistochemistry further corroborate our in vivo findings. Finally, clinical data further support our conclusions and demonstrate translational potential. In summary, this preclinical model provides a platform for characterizing multistep tumor progression and provides proof of concept that supports the utilization of advanced protocols for PET/MRI in clinical breast cancer imaging.
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Affiliation(s)
- Jennifer Griessinger
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Julian Schwab
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany.,Institute of Medical Systems Biology, Ulm University, Ulm, Germany
| | - Qian Chen
- Center for Immunology and Infectious Diseases, University of California, Davis, CA, USA
| | - Anna Kühn
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Jonathan Cotton
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Gregory Bowden
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Heike Preibsch
- Department of Radiology, University Hospital Tuebingen, Tuebingen, Germany
| | - Gerald Reischl
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany.,Cluster of Excellence iFIT(EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tuebingen, Tuebingen, Germany
| | - Leticia Quintanilla-Martinez
- Cluster of Excellence iFIT(EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tuebingen, Tuebingen, Germany.,Department of Pathology, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Hidetoshi Mori
- Center for Immunology and Infectious Diseases, University of California, Davis, CA, USA
| | - An Nguyen Dang
- Center for Immunology and Infectious Diseases, University of California, Davis, CA, USA
| | - Ursula Kohlhofer
- Department of Pathology, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Olulanu H Aina
- Center for Immunology and Infectious Diseases, University of California, Davis, CA, USA.,Janssen Pharmaceutical, Spring House, PA, USA
| | - Alexander D Borowsky
- Center for Immunology and Infectious Diseases, University of California, Davis, CA, USA
| | - Bernd J Pichler
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany.,Cluster of Excellence iFIT(EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tuebingen, Tuebingen, Germany.,German Cancer Consortium (DKTK), Partner Site Tuebingen; German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Robert D Cardiff
- Center for Immunology and Infectious Diseases, University of California, Davis, CA, USA
| | - Andreas M Schmid
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard Karls University Tuebingen, Tuebingen, Germany. .,Cluster of Excellence iFIT(EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tuebingen, Tuebingen, Germany.
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Peil-Grun A, Trenker C, Görg K, Neesse A, Haasenritter J, Görg C. Diagnostic accuracy and interobserver agreement of contrast-enhanced ultrasound in the evaluation of residual lesions after treatment for malignant lymphoma and testicular cancer: a retrospective pilot study in 52 patients. Leuk Lymphoma 2018; 59:2622-2627. [DOI: 10.1080/10428194.2018.1439170] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Anke Peil-Grun
- Interdisciplinary Center of Ultrasound, University Hospital Giessen and Marburg, Marburg, Germany
| | - Corinna Trenker
- Department of Haematology, Oncology and Immunology, University Hospital Giessen and Marburg, Philipps University Marburg, Marburg, Germany
| | - Konrad Görg
- Department of Haematology, Oncology and Immunology, University Hospital Giessen and Marburg, Philipps University Marburg, Marburg, Germany
| | - Albrecht Neesse
- Department of Gastroenterology and Gastrointestinal Oncology, University Medical Centre Göttingen, Göttingen, Germany
| | - Jörg Haasenritter
- Department of General Practice and Family Medicine, Philipps University, Marburg, Germany
| | - Christian Görg
- Interdisciplinary Center of Ultrasound, University Hospital Giessen and Marburg, Marburg, Germany
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Schmitz J, Schwab J, Schwenck J, Chen Q, Quintanilla-Martinez L, Hahn M, Wietek B, Schwenzer N, Staebler A, Kohlhofer U, Aina OH, Hubbard NE, Reischl G, Borowsky AD, Brucker S, Nikolaou K, la Fougère C, Cardiff RD, Pichler BJ, Schmid AM. Decoding Intratumoral Heterogeneity of Breast Cancer by Multiparametric In Vivo Imaging: A Translational Study. Cancer Res 2016; 76:5512-22. [PMID: 27466286 PMCID: PMC5414858 DOI: 10.1158/0008-5472.can-15-0642] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 07/06/2016] [Indexed: 01/20/2023]
Abstract
Differential diagnosis and therapy of heterogeneous breast tumors poses a major clinical challenge. To address the need for a comprehensive, noninvasive strategy to define the molecular and functional profiles of tumors in vivo, we investigated a novel combination of metabolic PET and diffusion-weighted (DW)-MRI in the polyoma virus middle T antigen transgenic mouse model of breast cancer. The implementation of a voxelwise analysis for the clustering of intra- and intertumoral heterogeneity in this model resulted in a multiparametric profile based on [(18)F]Fluorodeoxyglucose ([(18)F]FDG)-PET and DW-MRI, which identified three distinct tumor phenotypes in vivo, including solid acinar, and solid nodular malignancies as well as cystic hyperplasia. To evaluate the feasibility of this approach for clinical use, we examined estrogen receptor-positive and progesterone receptor-positive breast tumors from five patient cases using DW-MRI and [(18)F]FDG-PET in a simultaneous PET/MRI system. The postsurgical in vivo PET/MRI data were correlated to whole-slide histology using the latter traditional diagnostic standard to define phenotype. By this approach, we showed how molecular, structural (microscopic, anatomic), and functional information could be simultaneously obtained noninvasively to identify precancerous and malignant subtypes within heterogeneous tumors. Combined with an automatized analysis, our results suggest that multiparametric molecular and functional imaging may be capable of providing comprehensive tumor profiling for noninvasive cancer diagnostics. Cancer Res; 76(18); 5512-22. ©2016 AACR.
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Affiliation(s)
- Jennifer Schmitz
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Julian Schwab
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Johannes Schwenck
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University Tuebingen, Tuebingen, Germany. Department of Nuclear Medicine and Clinical Molecular Imaging, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Qian Chen
- Center for Comparative Medicine, University of California, Davis, California
| | | | - Markus Hahn
- Department of Women's Health, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Beate Wietek
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University, Tuebingen, Germany
| | - Nina Schwenzer
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University, Tuebingen, Germany
| | - Annette Staebler
- Department of Pathology, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Ursula Kohlhofer
- Department of Pathology, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Olulanu H Aina
- Center for Comparative Medicine, University of California, Davis, California
| | - Neil E Hubbard
- Center for Comparative Medicine, University of California, Davis, California
| | - Gerald Reischl
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | | | - Sara Brucker
- Department of Women's Health, Eberhard Karls University Tuebingen, Tuebingen, Germany
| | - Konstantin Nikolaou
- Department of Diagnostic and Interventional Radiology, Eberhard Karls University, Tuebingen, Germany. German Cancer Consortium, German Cancer Research Center, Tuebingen, Germany
| | - Christian la Fougère
- Department of Nuclear Medicine and Clinical Molecular Imaging, Eberhard Karls University Tuebingen, Tuebingen, Germany. German Cancer Consortium, German Cancer Research Center, Tuebingen, Germany
| | - Robert D Cardiff
- Center for Comparative Medicine, University of California, Davis, California
| | - Bernd J Pichler
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University Tuebingen, Tuebingen, Germany. German Cancer Consortium, German Cancer Research Center, Tuebingen, Germany
| | - Andreas M Schmid
- Department of Preclinical Imaging and Radiopharmacy, Werner Siemens Imaging Center, Eberhard Karls University Tuebingen, Tuebingen, Germany.
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