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Comparison of ex vivo bioluminescence imaging, Alu-qPCR and histology for the quantification of spontaneous lung and bone metastases in subcutaneous xenograft mouse models.
Haider, Marie-Therese; Freytag, Vera; Krause, Linda; Spethmann, Tanja; Gosau, Tobias; Beine, Mia C; Knies, Christine; Schröder-Schwarz, Jennifer; Horn, Michael; Riecken, Kristoffer; Lange, Tobias.
Afiliação
  • Haider MT; Institute of Anatomy and Experimental Morphology, University Medical Center Hamburg- Eppendorf, Martinistrasse 52, Hamburg, 20246, Germany.
  • Freytag V; Institute of Anatomy and Experimental Morphology, University Medical Center Hamburg- Eppendorf, Martinistrasse 52, Hamburg, 20246, Germany.
  • Krause L; Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Spethmann T; Institute of Anatomy and Experimental Morphology, University Medical Center Hamburg- Eppendorf, Martinistrasse 52, Hamburg, 20246, Germany.
  • Gosau T; Institute of Anatomy and Experimental Morphology, University Medical Center Hamburg- Eppendorf, Martinistrasse 52, Hamburg, 20246, Germany.
  • Beine MC; Institute of Anatomy and Experimental Morphology, University Medical Center Hamburg- Eppendorf, Martinistrasse 52, Hamburg, 20246, Germany.
  • Knies C; Institute of Anatomy and Experimental Morphology, University Medical Center Hamburg- Eppendorf, Martinistrasse 52, Hamburg, 20246, Germany.
  • Schröder-Schwarz J; Institute of Anatomy and Experimental Morphology, University Medical Center Hamburg- Eppendorf, Martinistrasse 52, Hamburg, 20246, Germany.
  • Horn M; Core Facility In Vivo Optical Imaging, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Riecken K; Mildred Scheel Cancer Career Center, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Lange T; Research Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Clin Exp Metastasis ; 41(2): 103-115, 2024 04.
Article em En | MEDLINE | ID: mdl-38353934
ABSTRACT
Bioluminescence imaging (BLI) is a non-invasive state-of-the-art-method for longitudinal tracking of tumor cells in mice. The technique is commonly used to determine bone metastatic burden in vivo and also suitable ex vivo to detect even smallest bone micro-metastases in spontaneous metastasis xenograft models. However, it is unclear to which extent ex vivo BLI correlates with alternative methods for metastasis quantification. Here, we compared ex vivo BLI, human DNA-based Alu-qPCR, and histology for the quantification of bone vs. lung metastases, which are amongst the most common sites of metastasis in prostate cancer (PCa) patients and spontaneous PCa xenograft models. Data from 93 immunodeficient mice were considered, each of which were subcutaneously injected with luciferase/RGB-labeled human PCa PC-3 cells. The primary tumors were resected at ~ 0.75 cm³ and mice were sacrificed ~ 3 weeks after surgery and immediately examined by ex vivo BLI. Afterwards, the right lungs and hind limbs with the higher BLI signal (BLIHi bone) were processed for histology, whereas the left lung lobes and hind limbs with the lower BLI signal (BLILo bone) were prepared for Alu-qPCR. Our data demonstrate remarkable differences in the correlation coefficients of the different methods for lung metastasis detection (r ~ 0.8) vs. bone metastasis detection (r ~ 0.4). However, the BLI values of the BLIHi and BLILo bones correlated very strongly (r ~ 0.9), indicating that the method per se was reliable under identical limitations; the overall level of metastasis to contralateral bones was astonishingly similar. Instead, the level of lung metastasis only weakly to moderately correlated with the level of bone metastasis formation. Summarized, we observed a considerable discrepancy between ex vivo BLI and histology/Alu-qPCR in the quantification of bone metastases, which was not observed in the case of lung metastases. Future studies using ex vivo BLI for bone metastasis quantification should combine multiple methods to accurately determine metastatic load in bone samples.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ósseas / Neoplasias Pulmonares Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ósseas / Neoplasias Pulmonares Idioma: En Ano de publicação: 2024 Tipo de documento: Article