Gligorich Keith M, Vaden Rachel M, Shelton Dawne N, Wang Guoying, Matsen Cindy B, Looper Ryan E, Sigman Matthew S, Welm Bryan E
Breast Cancer Res. 2013;15(4):R58. doi: 10.1186/bcr3452.
High failure rates of new investigational drugs have impaired the development of breast cancer therapies. One challenge is that excellent activity in preclinical models, such as established cancer cell lines, does not always translate into improved clinical outcomes for patients. New preclinical models, which better replicate clinically-relevant attributes of cancer, such as chemoresistance, metastasis and cellular heterogeneity, may identify novel anti-cancer mechanisms and increase the success of drug development.
Metastatic breast cancer cells were obtained from pleural effusions of consented patients whose disease had progressed. Normal primary human breast cells were collected from a reduction mammoplasty and immortalized with human telomerase. The patient-derived cells were characterized to determine their cellular heterogeneity and proliferation rate by flow cytometry, while dose response curves were performed for chemotherapies to assess resistance. A screen was developed to measure the differential activity of small molecules on the growth and survival of patient-derived normal breast and metastatic, chemoresistant tumor cells to identify selective anti-cancer compounds. Several hits were identified and validated in dose response assays. One compound, C-6, was further characterized for its effect on cell cycle and cell death in cancer cells.
Patient-derived cells were found to be more heterogeneous, with reduced proliferation rates and enhanced resistance to chemotherapy compared to established cell lines. A screen was subsequently developed that utilized both tumor and normal patient-derived cells. Several compounds were identified, which selectively targeted tumor cells, but not normal cells. Compound C-6 was found to inhibit proliferation and induce cell death in tumor cells via a caspase-independent mechanism.
Short-term culture of patient-derived cells retained more clinically relevant features of breast cancer compared to established cell lines. The low proliferation rate and chemoresistance make patient-derived cells an excellent tool in preclinical drug development.
新型研究性药物的高失败率阻碍了乳腺癌治疗方法的发展。一个挑战是,在临床前模型(如已建立的癌细胞系)中表现出的优异活性并不总是能转化为患者临床预后的改善。新型临床前模型能够更好地复制癌症的临床相关特征,如化疗耐药性、转移和细胞异质性,可能会识别出新的抗癌机制并提高药物研发的成功率。
转移性乳腺癌细胞取自疾病进展且已签署知情同意书患者的胸腔积液。正常原代人乳腺细胞从缩乳术中收集,并用人类端粒酶使其永生化。对源自患者的细胞进行表征,通过流式细胞术确定其细胞异质性和增殖率,同时对化疗药物进行剂量反应曲线测定以评估耐药性。开发了一种筛选方法,用于测量小分子对源自患者的正常乳腺细胞和转移性、化疗耐药肿瘤细胞生长和存活的差异活性,以识别选择性抗癌化合物。在剂量反应试验中鉴定并验证了几种活性化合物。对一种化合物C-6进一步表征其对癌细胞细胞周期和细胞死亡的影响。
与已建立的细胞系相比,发现源自患者的细胞具有更高的异质性、更低的增殖率和更强的化疗耐药性。随后开发了一种利用肿瘤细胞和源自患者的正常细胞的筛选方法。鉴定出几种化合物,它们选择性地靶向肿瘤细胞,而非正常细胞。发现化合物C-6通过一种不依赖半胱天冬酶的机制抑制肿瘤细胞增殖并诱导其死亡。
与已建立的细胞系相比,源自患者细胞的短期培养保留了更多乳腺癌的临床相关特征。低增殖率和化疗耐药性使源自患者的细胞成为临床前药物研发的优秀工具。