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Download this Publication to Learn:

  • That ESCC PDX models recapitulate patient disease preclinically, allowing the investigation of translational biomarkers of response
  • How a Mouse Clinical Trial across a cohort of PDX models identified a subset of responders to cetuximab monotherapy
  • That gene amplification and expression analysis indicated that high EGFR copy number, high EGFR mRNA expression, and IHC score of 2–3 associate with cetuximab response, indicating EGFR may function as a single predictive biomarker for cetuximab response in ESCC

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Download this Publication to Learn:

  • New methods making the design and analysis of MCTs more rational, flexible, and powerful, enabling MCTs to be a better tool in oncology R&D
  • The relationship between mouse number and measurement accuracy for categorical and continuous efficacy endpoints
  • Case studies demonstrating the advantages of linear mixed models (LMMs) in discovering biomarkers and exploring drug mechanisms of action
  • How MCTs can explain discrepancies in clinical trial results

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Download this Publication to Learn:

  • Barcode deep NGS-based profiling, a more efficient and robust method for authenticating and detecting contamination in mouse and human samples compared to conventional STR and SNP analysis methods
  • How barcode deep NGS-based profiling enables large-scale authentication for the maintenance of high quality biobanks
  • How barcode deep NGS-based profiling can determine gender, ethnicity, detect viral infection, and mycoplasma contamination

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Download this Publication to Understand:

  • How the genomic analysis of clinical samples has the potential to guide patient stratification, exemplified here for the Chinese ccRCC population
  • That 3 classes of ccRCC patient subgroups were identified, based on gene expression
  • Specific differences in gene mutations, e.g. PBRM1 mutation in the Chinese cohort investigated was much lower than for Caucasian cohort assessed by TCGA

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Download this Quick Fact to Learn:

  • How bioinformatics including biomarker discovery and validation, advanced study design and analysis, model selection, and evaluation of combination effects can add significant value to your drug candidate

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Download this Quick Fact to Learn:

  • How to de-risk therapeutic development by identifying robust and sensitive biomarkers early in drug development through an integrated platform

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Download this Quick Fact to Learn:

  • How to maximize your therapeutic effect while limiting toxicity through cytokine and chemokine profiling

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Download this Quick Fact to Learn:

  • How to significantly enhance your preclinical data by using next generation sequencing and customized data analysis

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Download this Quick Fact to Learn:

  • How to gain in-depth biological insight into your drug MoA and PD through robust immunophenotyping

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Download this White Paper to Understand How To:

  • Use in vitro screening to generate biomarker sets, identify primary indications, and guide in vivo model selection
  • Corroborate clinical observations using preclinical in vivo models, such as unique patient-derived xenografts (PDX), by exploring drug MoA
  • Translate preclinical biomarkers into the clinic, enabling the accurate identification and stratification of clinical trial participants

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