Aina Olulanu H, Liu Ruiwu, Sutcliffe Julie L, Marik Jan, Pan Chong-Xian, Lam Kit S
U.C. Davis Cancer Center, Division of Hematology/Oncology, Department of Internal Medicine, University of California-Davis, 4501 X Street, Sacramento, CA 95817, USA.
Mol Pharm. 2007 Sep-Oct;4(5):631-51. doi: 10.1021/mp700073y. Epub 2007 Sep 20.
Several monoclonal antibodies that target cell surface receptors have gained approval by the U.S. Food and Drug Administration and are widely used in the treatment of some cancers. These include but are not limited to the anti-CD20 antibody Rituximab, used in lymphoma treatment, as well as anti-HER-2 antibody for breast cancer therapy. The efficacy of this cancer immunotherapy modality is, however, limited by the large size of the antibody (160 kd) and its relatively nonspecific binding to the reticuloendothelial system. This latter property is particularly problematic if the antibody is used as a vehicle to deliver radionuclides, cytotoxic drugs, or toxins to the tumor site. Peptides, peptidomimetic, or small molecules are thus attractive as alternative cell surface targeting agents for cancer imaging and therapy. Cancer cell surface targeting peptides can be derived from known native peptide hormones such as somatostatin and bombesin, or they can be identified through screening combinatorial peptide libraries against unknown cell surface receptor targets. Phage-display peptide library and one-bead one-compound (OBOC) combinatorial library methods have been successfully used to discover peptides that target cancer cells or tumor blood vessel endothelial cells. The phage-display peptide library method, because of its biological nature, can only display l-amino acid peptides. In contrast, the OBOC combinatorial library method allows for bead-surface display of peptides that contain l-amino acids, d-amino acids, unnatural amino acids, or other organic moieties. We have successfully used the OBOC method to discover and optimize ligands against unique cell surface receptors of prostate cancer, T- and B-cell lymphoma, as well as ovarian and lung cancers, and we have used some of these peptides to image xenografts in nude mice with high specificity. Here, we (i) review the literature on the use of phage-display and OBOC combinatorial library methods to discover cancer and tumor blood vessel targeting ligands, and (ii) report on the use of an ovarian cancer targeting ligand, OA02, as an in vivo PET imaging probe in a xenograft model in nude mice.
几种靶向细胞表面受体的单克隆抗体已获得美国食品药品监督管理局的批准,并广泛应用于某些癌症的治疗。这些抗体包括但不限于用于淋巴瘤治疗的抗CD20抗体利妥昔单抗,以及用于乳腺癌治疗的抗HER-2抗体。然而,这种癌症免疫治疗方式的疗效受到抗体较大尺寸(160 kd)及其与网状内皮系统相对非特异性结合的限制。如果将抗体用作将放射性核素、细胞毒性药物或毒素递送至肿瘤部位的载体,后一种特性尤其成问题。因此,肽、肽模拟物或小分子作为用于癌症成像和治疗的替代细胞表面靶向剂具有吸引力。癌细胞表面靶向肽可以源自已知的天然肽激素,如生长抑素和蛙皮素,或者可以通过针对未知细胞表面受体靶点筛选组合肽文库来鉴定。噬菌体展示肽文库和单珠单化合物(OBOC)组合文库方法已成功用于发现靶向癌细胞或肿瘤血管内皮细胞的肽。由于其生物学性质,噬菌体展示肽文库方法只能展示L-氨基酸肽。相比之下,OBOC组合文库方法允许在珠子表面展示包含L-氨基酸、D-氨基酸、非天然氨基酸或其他有机部分的肽。我们已成功使用OBOC方法发现并优化针对前列腺癌、T细胞和B细胞淋巴瘤以及卵巢癌和肺癌独特细胞表面受体的配体,并且我们已使用其中一些肽以高特异性对裸鼠中的异种移植瘤进行成像。在此,我们(i)回顾关于使用噬菌体展示和OBOC组合文库方法发现癌症和肿瘤血管靶向配体的文献,以及(ii)报告使用卵巢癌靶向配体OA02作为裸鼠异种移植模型中的体内PET成像探针的情况。