2021
DOI: 10.1126/scitranslmed.abf4969
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Assessing therapy response in patient-derived xenografts

Abstract: We propose a measure for robust quantification of in vivo drug response that accounts for variation across both treatment and control replicates.

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Cited by 11 publications
(8 citation statements)
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“…(E) Classification of responder versus non-responder for both wildtype and LTR10.XRCC4 knockout cells, based on xenograft growth curves of untreated or irradiated mice. Three measures were calculated using Ortmann et al (2021) 69 : tumor growth inhibition (TGI), mRECIST, and area under the curve (AUC). (F-G) Average growth curves across replicates (n=9-10) for wildtype (F) versus LTR10.XRCC4 knockout (G) HCT116 xenograft tumors, with and without irradiation, for 28 days.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…(E) Classification of responder versus non-responder for both wildtype and LTR10.XRCC4 knockout cells, based on xenograft growth curves of untreated or irradiated mice. Three measures were calculated using Ortmann et al (2021) 69 : tumor growth inhibition (TGI), mRECIST, and area under the curve (AUC). (F-G) Average growth curves across replicates (n=9-10) for wildtype (F) versus LTR10.XRCC4 knockout (G) HCT116 xenograft tumors, with and without irradiation, for 28 days.…”
Section: Resultsmentioning
confidence: 99%
“…Tumor measurements were taken twice weekly using digital calipers, and toxicity was monitored by measuring body weight twice weekly and the study ended at 28 days. Tumor growth inhibition was measured using KuLGaP 69 .…”
Section: Methodsmentioning
confidence: 99%
“…The number of different types of animal models and their relative value for translation research in oncology have grown enormously in recent years [78,79]. Using animal models to assess therapeutic response is widespread, and the elements of experimental design needed to increase translational success have been extensively considered [80,81]. In addition, sophisticated technologies are being applied for the detection, characterization, and monitoring of cancer in animal models, generating comprehensive information about the structure, metabolism, and function of cancer cells and their microenvironment [82].…”
Section: Discussionmentioning
confidence: 99%
“…Humanized patient-derived xenografts mouse models are preferred for identifying and validating radiotherapy-specific biological or radiological biomarkers 181 - 183 . The accurate tumor-specific anatomic information and dynamic multi-modality/multi-parametric functional images from biomarker-driven probe-mediated molecular imaging could provide a large and reliable training source for the development of advanced imaging processing tools, such as machine learning and artificial intelligence 184 .…”
Section: Reflection and Future Perspectivementioning
confidence: 99%