Department of Microbiology and Immunology, The State University of New York, University at Buffalo, Buffalo, New York, United States of America.
PLoS One. 2011;6(9):e24420. doi: 10.1371/journal.pone.0024420. Epub 2011 Sep 15.
Ovarian cancer is the most common cause of death from gynecological cancer. Understanding the biology of this disease, particularly how tumor-associated lymphocytes and fibroblasts contribute to the progression and metastasis of the tumor, has been impeded by the lack of a suitable tumor xenograft model. We report a simple and reproducible system in which the tumor and tumor stroma are successfully engrafted into NOD-scid IL2Rγ(null) (NSG) mice. This is achieved by injecting tumor cell aggregates derived from fresh ovarian tumor biopsy tissues (including tumor cells, and tumor-associated lymphocytes and fibroblasts) i.p. into NSG mice. Tumor progression in these mice closely parallels many of the events that are observed in ovarian cancer patients. Tumors establish in the omentum, ovaries, liver, spleen, uterus, and pancreas. Tumor growth is initially very slow and progressive within the peritoneal cavity with an ultimate development of tumor ascites, spontaneous metastasis to the lung, increasing serum and ascites levels of CA125, and the retention of tumor-associated human fibroblasts and lymphocytes that remain functional and responsive to cytokines for prolonged periods. With this model one will be able to determine how fibroblasts and lymphocytes within the tumor microenvironment may contribute to tumor growth and metastasis, and will make it possible to evaluate the efficacy of therapies that are designed to target these cells in the tumor stroma.
卵巢癌是妇科癌症死亡的最常见原因。由于缺乏合适的肿瘤异种移植模型,人们对这种疾病的生物学特性,特别是肿瘤相关淋巴细胞和成纤维细胞如何促进肿瘤的进展和转移,了解甚少。我们报告了一种简单且可重复的系统,该系统可成功将肿瘤和肿瘤基质植入 NOD-scid IL2Rγ(null) (NSG) 小鼠中。通过将源自新鲜卵巢肿瘤活检组织的肿瘤细胞聚集体(包括肿瘤细胞、肿瘤相关淋巴细胞和成纤维细胞)腹腔内注射到 NSG 小鼠中,实现了这一目标。这些小鼠中的肿瘤进展与卵巢癌患者中观察到的许多事件非常相似。肿瘤在大网膜、卵巢、肝脏、脾脏、子宫和胰腺中建立。肿瘤在腹膜腔内的生长最初非常缓慢且进行性,最终发展为肿瘤腹水,自发性转移到肺部,血清和腹水 CA125 水平升高,以及保留仍能保持功能并对细胞因子长时间做出反应的肿瘤相关人成纤维细胞和淋巴细胞。有了这个模型,人们将能够确定肿瘤微环境中的成纤维细胞和淋巴细胞如何促进肿瘤的生长和转移,并有可能评估旨在靶向肿瘤基质中这些细胞的疗法的疗效。