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MRI 检测软组织肉瘤中的铁蛋白表达:对铁代谢治疗的潜在影响。

Detection of Ferritin Expression in Soft Tissue Sarcomas With MRI: Potential Implications for Iron Metabolic Therapy.

机构信息

Department of Radiation Oncology, Free Radical and Radiation Biology Program, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.

Department of Internal Medicine, Division of Hematology and Oncology, University of Iowa Hospitals and Clinics, Iowa City, Iowa, USA.

出版信息

Iowa Orthop J. 2022 Jun;42(1):255-262.

Abstract

BACKGROUND

Cancer cells often have altered iron metabolism relative to non-malignant cells with increased transferrin receptor and ferritin expression. Targeting iron regulatory proteins as part of a cancer therapy regimen is currently being investigated in various malignancies. Anti-cancer therapies that exploit the differences in iron metabolism between malignant and non-malignant cells (e.g. pharmacological ascorbate and iron chelation therapy) have shown promise in various cancers, including glioblastoma, lung, and pancreas cancers. Non-invasive techniques that probe tissue iron metabolism may provide valuable information for the personalization of iron-based cancer therapies. T* mapping is a clinically available MRI technique that assesses tissue iron content in the heart and liver. We aimed to investigate the capacity of T* mapping to detect iron stores in soft tissue sarcomas (STS).

METHODS

In this study, we evaluated T* relaxation times ex vivo in five STS samples from subjects enrolled on a phase Ib/IIa clinical trial combining pharmacological ascorbate with neoadjuvant radiation therapy. Iron protein expression levels (ferritin, transferrin receptor, iron response protein 2) were evaluated by Western blot analysis. Bioinformatic data relating clinical outcomes in STS patients and iron protein expression levels were evaluated using the KMplotter database.

RESULTS

There was a high level of inter-subject variability in the expression of iron protein and T* relaxation times. We identified that T* relaxation time is capable of accurately detecting ferritin-heavy chain expression (r = -0.96) in these samples. Bioinformatic data acquired from the KMplot database revealed that transferrin receptor and iron-responsive protein 2 may be negative prognostic markers while ferritin expression may be a positive prognostic marker in the management of STS.

CONCLUSION

These data suggest that targeting iron regulatory proteins may provide a therapeutic approach to enhance STS management. Additionally, T* mapping has the potential to be used a clinically accessible, non-invasive marker of STS iron regulatory protein expression and influence cancer therapy decisions that warrants further investigation. .

摘要

背景

癌细胞的铁代谢通常与非恶性细胞不同,表现为转铁蛋白受体和铁蛋白表达增加。作为癌症治疗方案的一部分,靶向铁调节蛋白的治疗方法目前正在各种恶性肿瘤中进行研究。利用恶性和非恶性细胞之间铁代谢的差异的抗癌疗法(例如药理上的抗坏血酸和铁螯合疗法)已在各种癌症中显示出前景,包括神经胶质瘤、肺癌和胰腺癌。探测组织铁代谢的非侵入性技术可能为基于铁的癌症治疗的个性化提供有价值的信息。T映射是一种临床可用的 MRI 技术,可评估心脏和肝脏中的组织铁含量。我们旨在研究 T映射检测软组织肉瘤(STS)中铁储存的能力。

方法

在这项研究中,我们评估了五项 STS 样本的 T*弛豫时间,这些样本来自参加一项结合药理抗坏血酸与新辅助放射治疗的 Ib/IIa 期临床试验的受试者。通过 Western blot 分析评估铁蛋白表达水平(铁蛋白、转铁蛋白受体、铁反应蛋白 2)。使用 KMplotter 数据库评估与 STS 患者临床结果相关的生物信息学数据和铁蛋白表达水平。

结果

铁蛋白和 T弛豫时间的表达存在很高的个体间变异性。我们发现 T弛豫时间能够准确检测这些样本中的铁蛋白重链表达(r=-0.96)。从 KMplot 数据库获得的生物信息学数据表明,转铁蛋白受体和铁反应蛋白 2 可能是负预后标志物,而铁蛋白表达可能是 STS 管理中的正预后标志物。

结论

这些数据表明,靶向铁调节蛋白可能为增强 STS 管理提供一种治疗方法。此外,T*映射有可能成为一种临床可用的、非侵入性的 STS 铁调节蛋白表达标志物,并影响癌症治疗决策,值得进一步研究。

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