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Pretreatment tumor-related leukocytosis misleads positron emission tomography-computed tomography during lymph node staging in gynecological malignancies

Authors :
Tadashi Kimura
Mahiru Kawano
Jun Hatazawa
Seiji Mabuchi
Naoko Komura
Hiroki Kato
Kotaro Shimura
Eriko Yokoi
Ryoko Takahashi
Tomoyuki Sasano
Yuri Matsumoto
Katsumi Kozasa
Hiromasa Kuroda
Source :
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020), Nature Communications
Publication Year :
2020
Publisher :
Nature Portfolio, 2020.

Abstract

The accuracy of fluorine-18-fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG-PET/CT) can be influenced by the increased glycolytic activity of inflammatory lesions. Here, using clinical data obtained from gynecological cancer patients, tumor samples and animal models, we investigate the impact of pretreatment tumor-related leukocytosis (TRL) on the diagnostic performance of 18F-FDG-PET/CT in detecting pelvic and paraaortic lymph node metastasis. We demonstrate that pretreatment TRL misleads 18F-FDG-PET/CT during lymph node staging in gynecological malignancies. In the mechanistic investigations, we show that the false-positive 18F-FDG-PET/CT result for detecting nodal metastasis can be reproduced in animal models of TRL-positive cancer bearing G-CSF expressing cervical cancer cells. We also show that increased 18F-FDG uptake in non-metastatic nodes can be explained by the MDSC-mediated premetastatic niche formation in which proinflammatory factors, such as S100A8 or S100A9, are abundantly expressed. Together, our results suggest that the MDSC-mediated premetastatic niche created in the lymph node of TRL-positive patients misleads 18F-FDG-PET/CT for detecting nodal metastasis.<br />Modern imaging techniques can detect cancer cells in the lymph nodes of cancer patients. In this study, the authors show that tumour related leukocytosis, a phenomenon where leukocytes are increased in number, can lead to the false positive detection of cancer cells in lymph nodes.

Details

Language :
English
ISSN :
20411723
Volume :
11
Issue :
1
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....f9b711020147c04ba52a389877388b50