数据库工具整合肾上腺皮质癌细胞系、PDX 和患者样本的基因组和药物数据。

A Database Tool Integrating Genomic and Pharmacologic Data from Adrenocortical Carcinoma Cell Lines, PDX, and Patient Samples.

机构信息

Developmental Therapeutics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.

Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.

出版信息

Cancer Res Commun. 2024 Sep 1;4(9):2384-2398. doi: 10.1158/2767-9764.CRC-24-0100.

Abstract

UNLABELLED

Adrenocortical carcinoma (ACC) is a rare and highly heterogeneous disease with a notably poor prognosis due to significant challenges in diagnosis and treatment. Emphasizing on the importance of precision medicine, there is an increasing need for comprehensive genomic resources alongside well-developed experimental models to devise personalized therapeutic strategies. We present ACC_CellMinerCDB, a substantive genomic and drug sensitivity database (available at https://discover.nci.nih.gov/acc_cellminercdb) comprising ACC cell lines, patient-derived xenografts, surgical samples, and responses to more than 2,400 drugs examined by the NCI and National Center for Advancing Translational Sciences. This database exposes shared genomic pathways among ACC cell lines and surgical samples, thus authenticating the cell lines as research models. It also allows exploration of pertinent treatment markers such as MDR-1, SOAT1, MGMT, MMR, and SLFN11 and introduces the potential to repurpose agents like temozolomide for ACC therapy. ACC_CellMinerCDB provides the foundation for exploring larger preclinical ACC models.

SIGNIFICANCE

ACC_CellMinerCDB, a comprehensive database of cell lines, patient-derived xenografts, surgical samples, and drug responses, reveals shared genomic pathways and treatment-relevant markers in ACC. This resource offers insights into potential therapeutic targets and the opportunity to repurpose existing drugs for ACC therapy.

摘要

未加说明

肾上腺皮质癌 (ACC) 是一种罕见且高度异质的疾病,由于在诊断和治疗方面存在重大挑战,因此预后极差。强调精准医学的重要性,我们越来越需要全面的基因组资源和完善的实验模型,以制定个性化的治疗策略。我们介绍了 ACC_CellMinerCDB,这是一个包含 ACC 细胞系、患者来源的异种移植物、手术样本以及 NCI 和国家转化科学推进中心检查的 2400 多种药物的敏感性在内的综合基因组和药物敏感性数据库(可在 https://discover.nci.nih.gov/acc_cellminercdb 上获得)。该数据库揭示了 ACC 细胞系和手术样本之间的共享基因组途径,从而验证了细胞系作为研究模型的可靠性。它还允许探索相关治疗标志物,如 MDR-1、SOAT1、MGMT、MMR 和 SLFN11,并提出了重新利用替莫唑胺等药物治疗 ACC 的潜力。ACC_CellMinerCDB 为探索更大的临床前 ACC 模型奠定了基础。

意义

ACC_CellMinerCDB 是一个包含细胞系、患者来源的异种移植物、手术样本和药物反应的综合数据库,揭示了 ACC 中的共享基因组途径和与治疗相关的标志物。该资源为潜在的治疗靶点提供了深入了解的机会,并为 ACC 治疗提供了重新利用现有药物的机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebea/11389377/3b1d523fe1dc/crc-24-0100_f1.jpg

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