Total metabolic tumor volume and spleen metabolism on baseline [18F]-FDG PET/CT as independent prognostic biomarkers of recurrence in resected breast cancer

Autor: Aurelien Latouche, Romain-David Seban, Irene Buvat, François-Clément Bidard, Laurence Champion, Jean-Marc Guinebretière, Roman Rouzier, Nicolas Deleval
Přispěvatelé: Laboratoire d'Imagerie Translationnelle en Oncologie (LITO ), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Curie [Paris], Cancer et génome: Bioinformatique, biostatistiques et épidémiologie d'un système complexe, Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), Buvat, Irène, MINES ParisTech - École nationale supérieure des mines de Paris
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Oncology
medicine.medical_specialty
Stromal cell
[18F]-FDG PET/CT
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Spleen
[SDV.CAN]Life Sciences [q-bio]/Cancer
Invasive breast cancer of no special type
Total metabolic tumor volume
Logistic regression
Spleen glucose metabolism
Stromal tumor-infiltrating lymphocytes
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Breast cancer
[SDV.CAN] Life Sciences [q-bio]/Cancer
Internal medicine
medicine
Radiology
Nuclear Medicine and imaging
Tumor microenvironment
Proportional hazards model
business.industry
General Medicine
Metabolism
Metabolic tumor volume
medicine.disease
Prognosis
3. Good health
medicine.anatomical_structure
[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging
030220 oncology & carcinogenesis
business
Zdroj: European Journal of Nuclear Medicine and Molecular Imaging
European Journal of Nuclear Medicine and Molecular Imaging, Springer Verlag (Germany), 2021, 48 (11), pp.3560-3570. ⟨10.1007/s00259-021-05322-2⟩
ISSN: 1619-7070
1619-7089
DOI: 10.1007/s00259-021-05322-2⟩
Popis: International audience; Purpose We evaluated whether biomarkers on baseline [ 18 F]-FDG PET/CT are associated with recurrence after surgery in patients with invasive breast cancer of no special type (NST). Methods In this retrospective single-center study, we included consecutive patients with non-metastatic breast cancer of NST who underwent [ 18 F]-FDG PET/CT before treatment, including surgery, between 2011 and 2016. Clinicopathological data were collected. Tumor SUVmax, total metabolic tumor volume (TMTV), and spleen-and bone marrow-to-liver SUVmax ratios (SLR, BLR) were measured from the PET images. Cutoff values were determined using predictiveness curves to predict 5-year recurrence-free survival (5y-RFS). A multivariable prediction model was developed using Cox regression. The association with stromal tumor-infiltrating lymphocytes (TILs) levels (low if 20 cm3) and high SLR (>0.76) were associated with shorter 5y-RFS (HR 2.4, 95%CI 1.3-4.5, and HR 1.9, 95%CI 1.0-3.6). In logistic regression, high SLR was the only independent factor associated with low stromal TILs (OR 2.8, 95%CI 1.4-5.7). Conclusion High total metabolic tumor volume and high spleen glucose metabolism on baseline [ 18 F]-FDG PET/CT were associated with poor 5y-RFS after surgical resection in patients with breast cancer of NST. Spleen metabolism was inversely correlated with stromal TILs and might be a surrogate for an immunosuppressive tumor microenvironment. Keywords Invasive breast cancer of no special type. [18F]-FDG PET/CT. Prognosis. Total metabolic tumor volume. Spleen glucose metabolism. Stromal tumor-infiltrating lymphocytes This article is part of the Topical Collection on Oncology-General
Databáze: OpenAIRE
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