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Quantitative Immunofluorescence to Measure Global Localized Translation
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Current methods in translational cancer research.

Michael W Lee1,2,3, Mihailo Miljanic2,3, Todd Triplett2,3

  • 1Department of Medical Education, Dell Medical School, University of Texas at Austin, Austin, TX, USA.

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|September 15, 2020
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Summary
This summary is machine-generated.

New pre-clinical screening tools accelerate drug development. This review evaluates cell culture, organoids, mouse models, and computational approaches to guide researchers in selecting optimal translational research tools for predicting therapeutic efficacy and safety.

Keywords:
CancerGEMMsPDXTranslational researchXenografttumor immunology

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Area of Science:

  • Pharmacology
  • Translational Research
  • Drug Development

Background:

  • Advancements in pre-clinical screening tools offer improved prediction of therapeutic agent clinical effects and adverse events.
  • The rapid emergence of these models necessitates careful evaluation of their individual merits for rational drug development.
  • Translational research tools are crucial for bridging the gap between laboratory findings and clinical outcomes.

Purpose of the Study:

  • To assess the predictive utility of established and emerging pre-clinical screening methods.
  • To evaluate the suitability of these models for predicting treatment response and drug properties (pharmacodynamics and pharmacokinetics).
  • To debate the translational limitations and benefits of current pre-clinical models.

Main Methods:

  • Review of current literature on cell culture, organoids, in vivo mouse models, and in silico computational approaches.
  • Analysis of predictive capabilities for treatment response and drug properties.
  • Discussion of translational aspects, including limitations and benefits.

Main Results:

  • Established and emerging pre-clinical models show varying degrees of predictive utility for drug development.
  • Cell culture, organoids, mouse models, and in silico methods each offer unique advantages and limitations.
  • Gaps in current literature and unmet needs in pre-clinical screening are identified.

Conclusions:

  • Careful evaluation of pre-clinical tools is essential for informed selection in drug development.
  • Innovations such as co-clinical trials represent future directions for refining translational research.
  • Optimizing pre-clinical screening platforms will accelerate the development of safe and effective therapeutics.