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生物样本库作为精准医学“时代”不可或缺的工具:在黑色素瘤等复杂疾病管理中的关键作用。

Biobanks as an Indispensable Tool in the "Era" of Precision Medicine: Key Role in the Management of Complex Diseases, Such as Melanoma.

作者信息

Valenti Alessandro, Falcone Italia, Valenti Fabio, Ricciardi Elena, Di Martino Simona, Maccallini Maria Teresa, Cerro Marianna, Desiderio Flora, Miseo Ludovica, Russillo Michelangelo, Guerrisi Antonino

机构信息

Radiology and Diagnostic Imaging Unit, Department of Clinical and Dermatological Research, San Gallicano Dermatological Institute IRCCS, 00144 Rome, Italy.

SAFU, Department of Research, Advanced Diagnostics, and Technological Innovation, IRCCS-Regina Elena National Cancer Institute, 00144 Rome, Italy.

出版信息

J Pers Med. 2024 Jul 6;14(7):731. doi: 10.3390/jpm14070731.

DOI:10.3390/jpm14070731
PMID:39063985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11278009/
Abstract

In recent years, medicine has undergone profound changes, strongly entering a new phase defined as the "era of precision medicine". In this context, patient clinical management involves various scientific approaches that allow for a comprehensive pathology evaluation: from preventive processes (where applicable) to genetic and diagnostic studies. In this scenario, biobanks play an important role and, over the years, have gained increasing prestige, moving from small deposits to large collections of samples of various natures. Disease-oriented biobanks are rapidly developing as they provide useful information for the management of complex diseases, such as melanoma. Indeed, melanoma, given its highly heterogeneous characteristics, is one of the oncologic diseases with the greatest clinical and therapeutic management complexity. So, the possibility of extrapolating tissue, genetic and imaging data from dedicated biobanks could result in more selective study approaches. In this review, we specifically analyze the several biobank types to evaluate their role in technology development, patient monitoring and research of new biomarkers, especially in the melanoma context.

摘要

近年来,医学发生了深刻变革,强势迈入被定义为“精准医学时代”的新阶段。在此背景下,患者的临床管理涉及多种科学方法,可对病理学进行全面评估:从(适用时的)预防流程到基因和诊断研究。在这种情况下,生物样本库发挥着重要作用,多年来其声望与日俱增,从小型存储库发展到各类性质样本的大型集合。以疾病为导向的生物样本库正在迅速发展,因为它们为黑色素瘤等复杂疾病的管理提供了有用信息。事实上,黑色素瘤因其高度异质性特征,是临床和治疗管理最为复杂的肿瘤疾病之一。因此,从专门的生物样本库中推断组织、基因和影像数据的可能性可能会带来更具选择性的研究方法。在本综述中,我们专门分析了几种类型的生物样本库,以评估它们在技术发展、患者监测和新生物标志物研究中的作用,尤其是在黑色素瘤背景下。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6453/11278009/e18e9c953602/jpm-14-00731-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6453/11278009/f985d44b250a/jpm-14-00731-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6453/11278009/309d07c82f5b/jpm-14-00731-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6453/11278009/e478287c077a/jpm-14-00731-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6453/11278009/e18e9c953602/jpm-14-00731-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6453/11278009/f985d44b250a/jpm-14-00731-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6453/11278009/309d07c82f5b/jpm-14-00731-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6453/11278009/e478287c077a/jpm-14-00731-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6453/11278009/e18e9c953602/jpm-14-00731-g004.jpg

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本文引用的文献

1
Interferon-gamma signature as prognostic and predictive marker in macroscopic stage III melanoma.γ干扰素特征作为宏观III期黑色素瘤的预后和预测标志物
J Immunother Cancer. 2024 Apr 27;12(4):e008125. doi: 10.1136/jitc-2023-008125.
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BMJ Open. 2024 Feb 2;14(2):e069694. doi: 10.1136/bmjopen-2022-069694.
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Pre-treatment 18F-FDG-PET/CT parameters as biomarkers for progression free survival, best overall response and overall survival in metastatic melanoma patients undergoing first-line immunotherapy.
治疗前 18F-FDG-PET/CT 参数作为转移性黑色素瘤患者一线免疫治疗后无进展生存、最佳总体反应和总体生存的生物标志物。
PLoS One. 2024 Jan 5;19(1):e0296253. doi: 10.1371/journal.pone.0296253. eCollection 2024.
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National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence.美国国家癌症研究所影像数据共享:实现影像人工智能的透明性、可重复性和可扩展性。
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Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects.人工智能在医学成像中的数据基础设施:五个欧盟项目经验报告。
Eur Radiol Exp. 2023 May 8;7(1):20. doi: 10.1186/s41747-023-00336-x.
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The molecular and functional landscape of resistance to immune checkpoint blockade in melanoma.黑色素瘤中免疫检查点阻断耐药的分子和功能全景。
Nat Commun. 2023 Mar 18;14(1):1516. doi: 10.1038/s41467-023-36979-y.
7
More than Just Skin-Deep: A Review of Imaging's Role in Guiding CAR T-Cell Therapy for Advanced Melanoma.不止于表面:影像学在指导晚期黑色素瘤CAR-T细胞治疗中的作用综述
Diagnostics (Basel). 2023 Mar 5;13(5):992. doi: 10.3390/diagnostics13050992.
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Metastatic Melanoma: Liquid Biopsy as a New Precision Medicine Approach.转移性黑色素瘤:液体活检作为一种新的精准医疗方法。
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NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients.NAVIGATOR:一个意大利区域性影像生物样本库,旨在促进肿瘤患者的精准医疗。
Eur Radiol Exp. 2022 Nov 8;6(1):53. doi: 10.1186/s41747-022-00306-9.
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The pivotal application of patient-derived organoid biobanks for personalized treatment of gastrointestinal cancers.患者来源的类器官生物样本库在胃肠道癌症个性化治疗中的关键应用。
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