NAMs in Oncology

How tumor organoids, patient-derived models, and human-relevant methods are transforming cancer drug development—because 95% of cancer drugs fail in clinical trials

95%
Cancer drugs fail in clinical trials
$2.7B
Average cost to develop cancer drug
10-15
Years from discovery to approval
~90%
Mouse tumor models fail translation

Human-Relevant Cancer Models

NAMs that better predict human tumor responses

Patient-Derived Tumor Organoids

3D cultures grown directly from patient tumor biopsies that retain the genetic and phenotypic characteristics of the original cancer.

  • Maintains tumor heterogeneity
  • Preserves patient mutations
  • Enables drug screening in weeks
  • Biobank for future testing

Tumor-on-Chip

Microfluidic devices that recreate the tumor microenvironment including vasculature, immune cells, and stromal components.

  • Models tumor-immune interactions
  • Tests drug penetration
  • Real-time monitoring
  • Hypoxic gradients like real tumors

CAR-T Testing Platforms

Human immune cell systems for testing CAR-T and other cellular immunotherapies before patient infusion.

  • Cytokine release prediction
  • Target cell killing assays
  • Off-target toxicity screening
  • Patient-specific manufacturing QC

3D Spheroid Models

Multicellular tumor spheroids that mimic solid tumor architecture with necrotic cores and proliferating outer layers.

  • High-throughput screening
  • Drug penetration studies
  • Resistance mechanism research
  • Cost-effective scalability

Why NAMs for Cancer Research

Advantages over traditional mouse xenograft models

Human Tumor Biology

Test drugs on actual human cancer cells with human mutations, not mouse cells in artificial conditions.

Tumor Microenvironment

Model interactions between cancer cells, immune cells, and stroma that determine treatment response.

Immunotherapy Testing

Human immune cells required—mouse immune systems don't predict checkpoint inhibitor responses.

Patient Stratification

Test which patients will respond to which drugs using their own tumor-derived organoids.

Speed & Scale

Screen drugs in weeks instead of months, testing thousands of compounds simultaneously.

Resistance Mechanisms

Study how tumors develop drug resistance using human cells that evolve like human cancers.

Breast Cancer Lung Cancer Colorectal Cancer Pancreatic Cancer Ovarian Cancer Prostate Cancer Leukemia Melanoma Brain Tumors