2017
DOI: 10.1016/s2352-3026(17)30208-9
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Image-based ex-vivo drug screening for patients with aggressive haematological malignancies: interim results from a single-arm, open-label, pilot study

Abstract: SummaryBackgroundPatients with refractory or relapsed haematological malignancies have few treatment options and short survival times. Identification of effective therapies with genomic-based precision medicine is hampered by intratumour heterogeneity and incomplete understanding of the contribution of various mutations within specific cancer phenotypes. Ex-vivo drug-response profiling in patient biopsies might aid effective treatment identification; however, proof of its clinical utility is limited.MethodsWe … Show more

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Cited by 146 publications
(183 citation statements)
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“…Cell viability can be also quantified by staining cells followed by microscopy . Hoechst 33 342 and 4′,6‐diamidino‐2‐phenylindole (DAPI) are often used to stain cell nuclei and estimate total cell number . There are a number of viability dyes available including CyQuant, Calcein AM, and propidium iodide that can distinguish between live and dead cells.…”
Section: Dsrt On 2d Cell Culture Modelsmentioning
confidence: 99%
See 3 more Smart Citations
“…Cell viability can be also quantified by staining cells followed by microscopy . Hoechst 33 342 and 4′,6‐diamidino‐2‐phenylindole (DAPI) are often used to stain cell nuclei and estimate total cell number . There are a number of viability dyes available including CyQuant, Calcein AM, and propidium iodide that can distinguish between live and dead cells.…”
Section: Dsrt On 2d Cell Culture Modelsmentioning
confidence: 99%
“…In addition, using microscopy‐based read‐out opens possibilities for more in‐depth analysis of treated cell population. For example, performing immunostaining with antibodies against specific marker of cancer cells enables distinguishing between response of cancer and healthy cells, identifying if drug is specific or generally toxic …”
Section: Dsrt On 2d Cell Culture Modelsmentioning
confidence: 99%
See 2 more Smart Citations
“…Tracking datasets for compound libraries across research institutions and correlating phenotypes acquired by different individuals under different conditions could help turning the vision of in silico modeling into a reality by distilling core multidimensional phenotypic changes out of a heterogeneous biological sample space. While we are not aware of such advances in the stem cell field, innovative approaches including patient-specific, high-content immunofluorescence-driven approaches in complex co-culture formats with a cross-patient longitudinal integration of datasets exists in clinical cancer research, in a technique called pharmacoscopy (Snijder et al, 2017). With the growing availability of stem cell banks coupled with in-depth patient records, applying such comprehensive approaches applied to stem cell screens and compound libraries will drive additional insight into health, developmental, and disease aspects across cell lines and patients, thus further broadening the insight and predictability of phenotypic changes in stem cell-based screens.…”
Section: Next-generation Phenotypic Analysesmentioning
confidence: 99%