Immunology Section, Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health Bethesda, MD, USA.
Front Oncol. 2012 Dec 17;2:194. doi: 10.3389/fonc.2012.00194. eCollection 2012.
Technological advances now allow us to rapidly produce CARs and other antibody-derived therapeutics targeting cell surface receptors. To maximize the potential of these new technologies, relevant extracellular targets must be identified. The Pediatric Oncology Branch of the NCI curates a freely accessible database of gene expression data for both pediatric cancers and normal tissues, through which we have defined discrete sets of over-expressed transcripts in 12 pediatric cancer subtypes as compared to normal tissues. We coupled gene expression profiles to current annotation databases (i.e., Affymetrix, Gene Ontology, Entrez Gene), in order to categorize transcripts by their sub-cellular location. In this manner we generated a list of potential immune targets expressed on the cell surface, ranked by their difference from normal tissue. Global differences from normal between each of the pediatric tumor types studied varied, indicating that some malignancies expressed transcript sets that were more highly diverged from normal tissues than others. The validity of our approach is seen by our findings for pre-B cell ALL, where targets currently in clinical trials were top-ranked hits (CD19, CD22). For some cancers, reagents already in development could potentially be applied to a new disease class, as exemplified by CD30 expression on sarcomas. Moreover, several potential new targets shared among several pediatric solid tumors are herein identified, such as MCAM (MUC18), metadherin (MTDH), and glypican-2 (GPC2). These targets have been identified at the mRNA level and are yet to be validated at the protein level. The safety of targeting these antigens has yet to be demonstrated and therefore the identified transcripts should be considered preliminary candidates for new CAR and therapeutic antibody targets. Prospective candidate targets will be evaluated by proteomic analysis including Westerns and immunohistochemistry of normal and tumor tissues.
现在,技术的进步使我们能够快速生产针对细胞表面受体的 CAR 和其他抗体衍生的治疗药物。为了最大限度地发挥这些新技术的潜力,必须确定相关的细胞外靶标。NCI 的儿科肿瘤学分支机构维护了一个可免费访问的儿科癌症和正常组织基因表达数据数据库,通过该数据库,我们在 12 种儿科癌症亚型与正常组织相比,确定了离散的过度表达转录本集。我们将基因表达谱与当前的注释数据库(即 Affymetrix、Gene Ontology、Entrez Gene)相结合,以便根据亚细胞位置对转录本进行分类。通过这种方式,我们生成了一份潜在免疫靶点的列表,这些靶点在细胞表面表达,并根据与正常组织的差异进行排名。所研究的每种儿科肿瘤类型之间与正常组织的全球差异各不相同,这表明某些恶性肿瘤表达的转录本集与正常组织的差异比其他恶性肿瘤更大。我们的方法的有效性可以通过我们对前 B 细胞 ALL 的研究结果看出,目前正在临床试验中的靶点是排名最高的命中靶点(CD19、CD22)。对于某些癌症,已经在开发中的试剂可能会被应用于新的疾病类别,例如肉瘤上的 CD30 表达。此外,本文还确定了几个在几种儿科实体瘤中共享的潜在新靶点,例如 MCAM(MUC18)、metadherin(MTDH)和聚糖蛋白-2(GPC2)。这些靶点已经在 mRNA 水平上被鉴定出来,并且尚未在蛋白质水平上得到验证。针对这些抗原的靶向安全性尚未得到证明,因此,所鉴定的转录本应被视为新型 CAR 和治疗性抗体靶标的初步候选物。将通过对正常和肿瘤组织的 Western 印迹和免疫组织化学分析来评估潜在的候选靶标。