کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8453408 | 1547883 | 2018 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Ex-vivo sensitivity profiling to guide clinical decision making in acute myeloid leukemia: A pilot study
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
تحقیقات سرطان
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
A precision medicine approach is appealing for use in AML due to ease of access to tumor samples and the significant variability in the patients' response to treatment. Attempts to establish a precision medicine platform for AML, however, have been unsuccessful, at least in part due to the use of small compound panels and having relatively slow turn over rates, which restricts the scope of treatment and delays its onset. For this pilot study, we evaluated a cohort of 12 patients with refractory AML using an ex vivo drug sensitivity testing (DST) platform. Purified AML blasts were screened with a panel of 215 FDA-approved compounds and treatment response was evaluated after 72Â h of exposure. Drug sensitivity scoring was reported to the treating physician, and patients were then treated with either DST- or non-DST guided therapy. We observed survival benefit of DST-guided therapy as compared to the survival of patients treated according to physician recommendation. Three out of four DST-treated patients displayed treatment response, while all of the non-DST-guided patients progressed during treatment. DST rapidly and effectively provides personalized treatment recommendations for patients with refractory AML.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Leukemia Research - Volume 64, January 2018, Pages 34-41
Journal: Leukemia Research - Volume 64, January 2018, Pages 34-41
نویسندگان
Ronan T. Swords, Diana Azzam, Hassan Al-Ali, Ines Lohse, Claude-Henry Volmar, Justin M. Watts, Aymee Perez, Ana Rodriguez, Fernando Vargas, Roy Elias, Francisco Vega, Arthur Zelent, Shaun P. Brothers, Taher Abbasi, Jonathan Trent, Shaukat Rangwala,