Wich Lindsay G, Hamilton Heather K, Shapiro Richard L, Pavlick Anna, Berman Russell S, Polsky David, Goldberg Judith D, Hernando Eva, Manga Prashiela, Krogsgaard Michelle, Kamino Hideko, Darvishian Farbod, Lee Peng, Orlow Seth J, Ostrer Harry, Bhardwaj Nina, Osman Iman
Am J Transl Res. 2009;1(1):35-43. Epub 2009 Jan 1.
Several challenges face the development and operation of a biospecimen bank linked to clinical information, a critical component of any effective translational research program. Melanoma adds particular complexity and difficulty to such an endeavor considering the unique characteristics of this malignancy. We describe here a review of biospecimen bank and our experience in establishing a multi-disciplinary, prospective, integrated clinicopathological-biospecimen database in melanoma. The Interdisciplinary Melanoma Cooperative Group (IMCG), a prospective clinicopathological and biospecimen database, was established at the New York University (NYU) Langone Medical Center. With patients' informed consent, biospecimens from within and outside NYU, clinicopathological data, and follow-up information are collected using developed protocols. Information pertaining to biospecimens is recorded in 35 fields, and clinicopathological information is recorded in 371 fields within 5 modules in a virtual network system. Investigators conducting research utilizing the IMCG biospecimen resource are blind to clinicopathological information, and molecular data generated using biospecimens are linked independently with clinicopathological data by biostatistics investigators. This translational research enterprise acts as a valuable resource to efficiently translate laboratory discoveries to the clinic.
与临床信息相关联的生物样本库的建立和运营面临着诸多挑战,而这是任何有效的转化研究项目的关键组成部分。考虑到黑色素瘤这种恶性肿瘤的独特特性,它给这样的工作增添了特别的复杂性和难度。我们在此描述对生物样本库的回顾以及我们在黑色素瘤领域建立一个多学科、前瞻性、综合临床病理 - 生物样本数据库的经验。跨学科黑色素瘤合作组(IMCG)是一个前瞻性临床病理和生物样本数据库,在纽约大学朗格尼医学中心建立。在患者知情同意的情况下,使用已制定的方案收集来自纽约大学内外的生物样本、临床病理数据以及随访信息。与生物样本相关的信息记录在35个字段中,临床病理信息在虚拟网络系统的5个模块中的371个字段中记录。利用IMCG生物样本资源进行研究的调查人员对临床病理信息不知情,并且使用生物样本生成的分子数据由生物统计学调查人员独立地与临床病理数据相链接。这个转化研究项目是将实验室发现有效转化到临床的宝贵资源。