Lauer David, Magnin Cheryl Y, Kolly Luca R, Wang Huijuan, Brunner Matthias, Chabria Mamta, Cereghetti Grazia M, Gabryś Hubert S, Tanadini-Lang Stephanie, Uldry Anne-Christine, Heller Manfred, Verleden Stijn E, Klein Kerstin, Sarbu Adela-Cristina, Funke-Chambour Manuela, Ebner Lukas, Distler Oliver, Maurer Britta, Gote-Schniering Janine
Department of Rheumatology and Immunology, Inselspital, Bern University Hospital, and.
Lung Precision Medicine (LPM), Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland.
JCI Insight. 2024 Jul 16;9(15):e181757. doi: 10.1172/jci.insight.181757.
Antifibrotic therapy with nintedanib is the clinical mainstay in the treatment of progressive fibrosing interstitial lung disease (ILD). High-dimensional medical image analysis, known as radiomics, provides quantitative insights into organ-scale pathophysiology, generating digital disease fingerprints. Here, we performed an integrative analysis of radiomic and proteomic profiles (radioproteomics) to assess whether changes in radiomic signatures can stratify the degree of antifibrotic response to nintedanib in (experimental) fibrosing ILD. Unsupervised clustering of delta radiomic profiles revealed 2 distinct imaging phenotypes in mice treated with nintedanib, contrary to conventional densitometry readouts, which showed a more uniform response. Integrative analysis of delta radiomics and proteomics demonstrated that these phenotypes reflected different treatment response states, as further evidenced on transcriptional and cellular levels. Importantly, radioproteomics signatures paralleled disease- and drug-related biological pathway activity with high specificity, including extracellular matrix (ECM) remodeling, cell cycle activity, wound healing, and metabolic activity. Evaluation of the preclinical molecular response-defining features, particularly those linked to ECM remodeling, in a cohort of nintedanib-treated fibrosing patients with ILD, accurately stratified patients based on their extent of lung function decline. In conclusion, delta radiomics has great potential to serve as a noninvasive and readily accessible surrogate of molecular response phenotypes in fibrosing ILD. This could pave the way for personalized treatment strategies and improved patient outcomes.
尼达尼布抗纤维化治疗是进行性纤维化间质性肺疾病(ILD)临床治疗的主要手段。高维医学图像分析,即放射组学,可对器官尺度的病理生理学进行定量洞察,生成数字疾病指纹图谱。在此,我们对放射组学和蛋白质组学特征进行综合分析(放射蛋白质组学),以评估放射组学特征的变化是否能够对(实验性)纤维化ILD患者对尼达尼布的抗纤维化反应程度进行分层。与传统密度测定读数显示出更均匀的反应不同,对尼达尼布治疗小鼠的放射组学特征变化进行无监督聚类分析,发现了两种不同的成像表型。对放射组学特征变化和蛋白质组学的综合分析表明,这些表型反映了不同的治疗反应状态,这在转录和细胞水平上得到了进一步证实。重要的是,放射蛋白质组学特征与疾病和药物相关的生物途径活性高度特异性地平行,包括细胞外基质(ECM)重塑、细胞周期活性、伤口愈合和代谢活性。在一组接受尼达尼布治疗的纤维化ILD患者队列中,对临床前分子反应定义特征进行评估,尤其是那些与ECM重塑相关的特征,根据肺功能下降程度准确地对患者进行了分层。总之,放射组学特征变化在作为纤维化ILD分子反应表型的非侵入性且易于获取的替代指标方面具有巨大潜力。这可能为个性化治疗策略和改善患者预后铺平道路。