Subcutaneous Adipose Tissue FDG Uptake is Associated with Systemic Inflammatory Indices Independent of Primary-Tumor Metabolic Burden in Breast Cancer.
IF 2.5 4区 医学Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
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引用次数: 0
Abstract
Purpose: Adipose tissue may contribute to systemic inflammation in breast cancer. This study evaluated whether visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) [18F]fluorodeoxyglucose ([18F]FDG) uptakes on positron emission tomography/computed tomography (PET/CT) are associated with inflammatory indices after adjustment for PET-derived tumor metabolic burden and whether metastatic status modifies these associations.
Materials and methods: In this retrospective single-center cohort (n = 358) undergoing baseline [18F]FDG PET/CT, metastatic status was defined using an internal three-level clinical stage grouping: early-stage or locally advanced disease was classified as M0 and metastatic disease was classified as MET. VAT and SAT FDG uptakes were quantified as z-scored mean standardized uptake values normalized to lean body mass (SULmean) using the James lean body mass equation. Inflammatory indices from complete blood counts were log-transformed. Prespecified linear regression models with heteroskedasticity-consistent type 3 (HC3) robust standard errors were adjusted for age, body mass index (BMI), fasting glucose, stage, molecular subtype, and PET-derived primary-tumor metabolic burden metrics. Effect modification was tested via exposure × MET interaction. Sensitivity analyses used total-body tumor burden metrics in MET and recalculated SUL using the Janmahasatian lean body mass equation; overall survival (OS) was explored with Cox models.
Results: Of 358 patients, 284 (79.3%) were M0 and 74 (20.7%) were MET. In M0 (complete-case n = 267), higher SAT uptake was independently associated with higher log-transformed neutrophil-to-lymphocyte ratio (log(NLR)) (β = 0.0798; 95% confidence interval (CI) 0.0130-0.1466; p = 0.019). In pooled interaction models (n = 323), SAT remained associated with log(NLR) (β = 0.0892; 95% CI 0.0196-0.1588; p = 0.012; ≈9% higher NLR per 1-standard deviation (SD)), with no evidence of effect modification by metastatic status (SAT × MET interaction p = 0.594). Results were consistent after total-body tumor-burden adjustment in MET and after recalculation of SUL using the Janmahasatian lean body mass equation. SAT was not significantly associated with OS (adjusted hazard ratio (HR) = 1.086; 95% CI 0.864-1.364; p = 0.481; n = 346).
Conclusions: Higher SAT FDG uptake was modestly associated with higher NLR independent of tumor metabolic burden, with no evidence of heterogeneity by metastatic status. These findings suggest a potential tissue-specific imaging correlate of host inflammatory phenotype rather than a stand-alone clinical biomarker. Sensitivity and survival analyses remain hypothesis-generating and require external validation.
期刊介绍:
Molecular Imaging and Biology (MIB) invites original contributions (research articles, review articles, commentaries, etc.) on the utilization of molecular imaging (i.e., nuclear imaging, optical imaging, autoradiography and pathology, MRI, MPI, ultrasound imaging, radiomics/genomics etc.) to investigate questions related to biology and health. The objective of MIB is to provide a forum to the discovery of molecular mechanisms of disease through the use of imaging techniques. We aim to investigate the biological nature of disease in patients and establish new molecular imaging diagnostic and therapy procedures.
Some areas that are covered are:
Preclinical and clinical imaging of macromolecular targets (e.g., genes, receptors, enzymes) involved in significant biological processes.
The design, characterization, and study of new molecular imaging probes and contrast agents for the functional interrogation of macromolecular targets.
Development and evaluation of imaging systems including instrumentation, image reconstruction algorithms, image analysis, and display.
Development of molecular assay approaches leading to quantification of the biological information obtained in molecular imaging.
Study of in vivo animal models of disease for the development of new molecular diagnostics and therapeutics.
Extension of in vitro and in vivo discoveries using disease models, into well designed clinical research investigations.
Clinical molecular imaging involving clinical investigations, clinical trials and medical management or cost-effectiveness studies.