PO.TB10.18 · 肿瘤生物学

利用患者来源类器官的空间和细胞类型特异性分析解码NF1肿瘤的肿瘤微环境

Decoding the tumor microenvironment of NF1 tumors using spatial and cell-type specific analyses of patient-derived organoids

编号 4919 展板 7 时间 4/21 09:00–12:00 区域 Section 30 主讲 Alberto Mendoza-Valderrey, BS;MS;PhD (hc)
分会场 Novel Experimental Platforms and Causal Inference
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作者与单位 Authors & Affiliations

Alberto Mendoza-Valderrey1, Michael J. Lippincott2, Huyen Thi Lam Nguyen1, Jenna Tomkinson2, Cameron Mattson2, Dave Bunten2, Summer Norris1, Jeremy Jacobson3, Jackson Chin3, Paul Piehowski3, Le Day3, Chelsea Hutchinson Bunch3, Christopher Anderton3, Brittney Gorman3, Sara Gosline3, Gregory P. Way2, Alice Soragni1

1Department of Orthopaedic Surgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA,2Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO,3Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA

摘要 Abstract

中文摘要
1型神经纤维瘤病(NF1)是一种肿瘤易感性遗传综合征,由抑癌基因NF1的种系变异驱动。NF1患者常发生良性周围神经鞘瘤,包括皮肤型和丛状神经纤维瘤(cNF、pNF),这些肿瘤与显著的合并症相关。值得注意的是,约15%的患者中,一部分pNF可进展为恶性周围神经鞘瘤(MPNST),即侵袭性软组织肉瘤。目前NF1相关肿瘤的治疗手段极为有限,MEK1/2抑制剂司美替尼(selumetinib)和米达美替尼(mirdametinib)是唯一获FDA批准用于有症状且无法手术的pNF患者的药物。然而,这两种治疗均不能根治,需要持续给药,并伴有相关毒性,凸显了对替代疗法的需求。NF1肿瘤呈现出复杂的微环境,包含嵌入致密细胞外基质(ECM)中的多种细胞类型,包括施万细胞、成纤维细胞和肥大细胞。识别有效非手术治疗的努力受到这些肿瘤的罕见性、其显著的细胞异质性、其丰富的ECM沉积以及缺乏能准确重现这些复杂特征的患者来源模型的制约。我们已开发出神经纤维瘤(Nguyen等,Cell Reports Methods 2024)和MPNST(Al Shihabi等,Cell Stem Cell 2024)的患者来源类器官,它们保留了亲本肿瘤的细胞和分子特征,为药物发现研究提供了稳健、易操作的模型。在此,我们正在开发一种基于图像的单细胞分型实验,整合多重免疫荧光与计算技术,以评估药物对NF1类器官内各细胞亚群的影响。该方法将与我们的高通量迷你环类器官筛选平台(Phan等,Communications Biology 2019;Al Shihabi等,Science Advances 2022)相结合,以快速筛选FDA批准的药物,并配合改良的3D兼容Cell Painting实验,为治疗药物对每种细胞类型的影响提供无偏倚的表型读出,同时采用蛋白质组学方法。通过整合这些方法,我们旨在应对NF1相关肿瘤细胞异质性带来的挑战,并为NF1患者识别精准治疗策略。
查看英文原文 English abstract
Neurofibromatosis Type I (NF1) is a tumor-predisposing genetic syndrome driven by germline variants in the tumor suppressor gene NF1 . Patients with NF1 frequently develop benign peripheral nerve sheath tumors, including cutaneous and plexiform neurofibromas (cNFs, pNFs), which are associated with significant comorbidities. Notably, a proportion of pNFs can progress to malignant peripheral nerve sheath tumors (MPNSTs), aggressive soft tissue sarcomas, in approximately 15% of patients. Current therapies for NF1 associated tumors are extremely limited, being the MEK 1/2 inhibitors selumetinib and mirdametinib the only FDA-approved drugs for patients with symptomatic inoperable pNFs. However, both treatments are not curative and require continuous administration, with associated toxicities that highlight the need for alternative therapies. NF1 tumors present a complex microenvironment comprising different cell types including Schwann cells, fibroblasts, and mast cells embedded in a dense extracellular matrix (ECM). Efforts to identify effective non-surgical treatments are constrained by the rarity of these tumors, their marked cellular heterogeneity, their abundant ECM deposition, and the lack of patient-derived models that accurately recapitulate these complex features. We have developed patient-derived organoids of both neurofibromas ( Nguyen et al, Cell Reports Methods 2024) and MPNSTs ( Al Shihabi et al, Cell Stem Cell 2024) that preserve the cellular and molecular characteristics of parental tumors, providing robust tractable models for drug discovery studies. Here, we are developing a single-cell typing, image-based assay, integrating multiplex immunofluorescence with computational techniques, to evaluate the impact of drugs on individual cell subpopulations within NF1 organoids. This methodology will be coupled with our high throughput mini-ring organoid screening platform ( Phan et al, Communications Biology 2019; Al Shihabi et al, Science Advances 2022 ), to rapidly screen FDA-approved drugs, along with a modified 3D-compatible Cell Painting assay for providing unbiased phenotypic readouts of the impact of therapeutic agents on each cell type as well as proteomics approaches. By integrating these methods, we aim to address the challenges posed by the cellular heterogeneity of NF1-associated tumors and to identify precision therapeutic strategies for NF1 patients.
利益披露 Disclosure
A. Mendoza-Valderrey, None.. M. J. Lippincott, None.. H. Nguyen, None.. J. Tomkinson, None.. C. Mattson, None.. D. Bunten, None.. S. Norris, None.. J. Jacobson, None.. J. Chin, None.. P. Piehowski, None.. L. Day, None.. C. Hutchinson Bunch, None.. C. Anderton, None.. B. Gorman, None.. S. Gosline, None.. G. P. Way, None.. A. Soragni, None.

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