Patient-derived xenografts for individualized care in advanced sarcoma.
Patient-derived xenografts for individualized care in advanced sarcoma.
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DOI:
10.1002/cncr.28696
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发表时间:
2014-07-01
期刊:
影响因子:
6.2
通讯作者:
Sidransky, David
中科院分区:
文献类型:
--
作者:
Stebbing, Justin;Paz, Keren;Schwartz, Gary K.;Wexler, Leonard H.;Maki, Robert;Pollock, Raphael E.;Morris, Ronnie;Cohen, Richard;Shankar, Arjun;Blackman, Glen;Harding, Victoria;Vasquez, David;Krell, Jonathan;Ciznadija, Daniel;Katz, Amanda;Sidransky, David
Patients with advanced, metastatic sarcoma have a poor prognosis, and the overall benefit from the few standard-of-care therapeutics available is small. The rarity of this tumor, combined with the wide range of subtypes, leads to difficulties in conducting clinical trials. The authors previously reported the outcome of patients with a variety of common solid tumors who received treatment with drug regimens that were first tested in patient-derived xenografts using a proprietary method (“TumorGrafts”). Tumors resected from 29 patients with sarcoma were implanted into immunodeficient mice to identify drug targets and drugs for clinical use. The results of drug sensitivity testing in the TumorGrafts were used to personalize cancer treatment. Of 29 implanted tumors, 22 (76%) successfully engrafted, permitting the identification of treatment regimens for these patients. Although 6 patients died before the completion of TumorGraft testing, a correlation between TumorGraft results and clinical outcome was observed in 13 of 16 (81%) of the remaining individuals. No patients progressed during the TumorGraft-predicted therapy. The current data support the use of the personalized TumorGraft model as an investigational platform for therapeutic decision-making that can guide treatment for rare tumors such as sarcomas. A randomized phase 3 trial versus physician's choice is warranted.
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影响因子:
5.7
作者:
Villarroel MC;Rajeshkumar NV;Garrido-Laguna I;De Jesus-Acosta A;Jones S;Maitra A;Hruban RH;Eshleman JR;Klein A;Laheru D;Donehower R;Hidalgo M
通讯作者:
Hidalgo M
影响因子:
5.7
作者:
Hidalgo M;Bruckheimer E;Rajeshkumar NV;Garrido-Laguna I;De Oliveira E;Rubio-Viqueira B;Strawn S;Wick MJ;Martell J;Sidransky D
通讯作者:
Sidransky D
影响因子:
11.2
作者:
Baird, K;Davis, S;Meltzer, PS
通讯作者:
Meltzer, PS
影响因子:
45.3
作者:
Van Cutsem, Eric;Kohne, Claus-Henning;Ciardiello, Fortunato
通讯作者:
Ciardiello, Fortunato
影响因子:
50.3
作者:
Neve, Richard M.;Chin, Koei;Gray, Joe W.
通讯作者:
Gray, Joe W.