参与癌症治疗反应的大脑网络:来自18f - fdg PET扫描的见解。

IF 3.4 3区 医学 Q2 ENGINEERING, BIOMEDICAL
Mauro Namías, Matej Perovnik, Daniel Huff, Carolina Tinetti, María Eugenia Azar, Katja Strašek, Nežka Hribernik, Martina Reberšek, Andrej Studen, Gabriel Bruno, Robert Jeraj
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引用次数: 0

摘要

目标。为了确定治疗前用18f - fdg PET测量的脑代谢网络模式是否与癌症患者的治疗反应和生存相关。方法:两个独立队列的探索性回顾性研究:接受新辅助化疗的III期乳腺癌患者和接受抗pd -1免疫治疗的IV期黑色素瘤患者。代谢脑网络评分来源于治疗前的18f - fdg PET扫描,并使用ROC分析(AUC)评估其对良好反应者和不良反应者进行分层的能力。在随访期间评估网络评分的纵向变化,并在黑色素瘤队列中进行无进展生存期(PFS)和总生存期(OS)分析。主要的结果。特异性脑网络与治疗结果相关;认知/语言网络是最强的预测因子(AUC > 0.84用于区分两个队列中的良好反应者和不良反应者)。良好应答者的认知/语言得分低于不良应答者和健康对照组。纵向上,良好应答者的认知/语言分数保持稳定,而不良应答者表现出向良好应答者观察到的分数逐渐收敛。在黑色素瘤队列中,较低的认知/语言评分与较长的PFS和os显著相关。意义。这些发现表明,代谢脑网络模式,特别是认知/语言网络,可能作为与肿瘤治疗疗效和生存相关的非侵入性生物标志物。研究结果支持脑代谢、免疫反应和临床结果之间可能存在复杂的相互作用。主要的局限性包括回顾性设计和缺乏直接的免疫功能和心理测量测量;需要前瞻性的多模式研究来验证这些观察结果并阐明潜在的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brain networks involved in cancer treatment response: insights from18F-FDG PET scans.

Objective.To determine whether pre-treatment brain metabolic network patterns measured with18F-FDG PET are associated with treatment response and survival in cancer patients.Approach.Exploratory retrospective study of two independent cohorts: stage III breast cancer patients treated with neoadjuvant chemotherapy and stage IV melanoma patients treated with anti-PD-1 immunotherapy. Metabolic brain network scores were derived from pre-treatment18F-FDG PET scans and evaluated for their ability to stratify good versus poor responders using ROC analysis (AUC). Longitudinal changes in network scores were assessed across follow-up, and progression-free survival (PFS) and overall survival (OS) analyses were performed in the melanoma cohort.Main results.Specific brain networks were associated with treatment outcome; the cognition/language network was the strongest predictor (AUC > 0.84 for distinguishing good vs. poor responders in both cohorts). Good responders showed lower cognition/language scores than poor responders and healthy controls. Longitudinally, cognition/language scores remained stable in good responders, while poor responders exhibited a gradual convergence toward the scores observed in good responders. In the melanoma cohort, lower cognition/language scores were significantly associated with longer PFS and OS.Significance.These findings indicate that metabolic brain network patterns, particularly the cognition/language network, may serve as noninvasive biomarkers linked to treatment efficacy and survival in oncology. The results support a possible complex interaction between brain metabolism, immune response, and clinical outcomes. Key limitations include the retrospective design and lack of direct immune-function and psychometric measures; prospective, multimodal studies are needed to validate these observations and elucidate underlying mechanisms.

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来源期刊
Physics in medicine and biology
Physics in medicine and biology 医学-工程:生物医学
CiteScore
6.50
自引率
14.30%
发文量
409
审稿时长
2 months
期刊介绍: The development and application of theoretical, computational and experimental physics to medicine, physiology and biology. Topics covered are: therapy physics (including ionizing and non-ionizing radiation); biomedical imaging (e.g. x-ray, magnetic resonance, ultrasound, optical and nuclear imaging); image-guided interventions; image reconstruction and analysis (including kinetic modelling); artificial intelligence in biomedical physics and analysis; nanoparticles in imaging and therapy; radiobiology; radiation protection and patient dose monitoring; radiation dosimetry
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