Abstract
Abstract BACKGROUNDHigh-throughput functional chemosensitivity testing is a potentially effective way to customize personalized chemotherapy treatment. This testing requires low-passage patient-specific cancer cell lines, however, generating such cell lines from patients’ tumors is difficult, due in large part, to contaminating fibroblasts that often overgrow the malignant cells. METHODSWe constructed a series of hypoxanthine phosphoribosyl transferase (hprt) null immunodeficient mice. These include nude hprt-null, SCID hprt-null and NOD-SCID hprt-null mice. During growth of xenografted human cancers in these mice, hprt-null murine stromal cells replace their human counterparts. Tumors from patients were implanted and expanded in these mice. Explanted tumors were then grown in tissue culture flasks with selection media (hypoxanthine, aminopterin, thymidine; HAT media) to eliminate the mouse biochemically-defective fibroblasts and produce pure human cancer cell lines. We screened one cell line against the Johns Hopkins Drug Library containing ∼3,100 drugs. Selected potent drugs were used for in vivo xenograft tumor inhibition studies. RESULTSWe successfully established several pancreatic cancer cell lines from patients using the hprt null immunodeficient mice. We performed chemosensitivity profiling on one of the pancreatic cancer cell lines using 3,100 drugs. From the profiling, we selected potent drugs, which are FDA-approved but are not currently used for pancreatic cancer. We chose two drugs that demonstrated greater in vitro chemosensitivity compared to control cell lines. The two drugs were tested against mouse xenografts where both drugs demonstrated superior in vivo efficacy to the sensitive cell line tumors compared to control tumors. CONCLUSIONSChemotherapy for cancer may be personalized using low passage cell lines derived from patients through biochemically selectable mice. Further tests are needed to determine whether in vitro chemosensitivity testing of low-passage patient-specific cancer cell lines can predict clinical patient response. Citation Format: Hirohiko Kamiyama, Sherri Rauenzahn, Joong Sup Shim, Jun O. Liu, Anirban Maitra, James R. Eshleman. Personalized chemosensitivity profiling of cancers isolated from genetically-engineered mice. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4155. doi:10.1158/1538-7445.AM2013-4155
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