Personalized & Precision Cancer Care

3 minute(s) read
Personalized & Precision Cancer Care
Bangkok Hospital Phuket

 

Personalized and Precision Cancer Care refers to tailoring treatment strategies based on an individual’s genomic profile, tumor biology, lifestyle, and environment — with the aim of improving outcomes, reducing side effects, and avoiding one-size-fits-all therapies. 

What’s the Difference?

Term Focus Description
Personalized Cancer Care  Broader approach (includes genetic, clinical, lifestyle factors)  Treats the individual patient 
Precision Cancer Care  Data-driven (molecular, omics, AI)  Treats the tumor’s specific characteristics 

Both are often used interchangeably but precision medicine is a subset of personalized care

Key Components of Precision Cancer Care 

1. Molecular Profiling / Genomic Testing 

  • Identifies actionable mutations, gene fusions, copy number variations
  • Enables targeted therapies and predicts immunotherapy response

Example Tests: 

Test Type Purpose Example Findings
NGS Panels (e.g., FoundationOne, OncoPanel)  Mutation profiling  EGFR, KRAS, BRAF, ALK 
Whole Exome/Genome  Rare cancer exploration  Novel or rare variants 
RNA-seq  Expression/fusion detection  NTRK, ALK fusions 
MSI & TMB  Immunotherapy biomarkers  MSI-H, TMB-High 

2. Biomarker-Driven Therapy 

Biomarker Cancer Type Matched Therapy 
HER2 overexpression  Breast, gastric  Trastuzumab 
EGFR mutation  NSCLC  Osimertinib 
PD-L1 expression  Melanoma, lung  Pembrolizumab, Nivolumab 
BRCA1/2 mutation  Breast, ovary  PARP inhibitors (Olaparib) 
RET/NTRK fusions  Multiple  Selpercatinib, Larotrectinib 

FDA has approved several “tissue-agnostic” therapies (e.g., pembrolizumab for MSI-H tumors, larotrectinib for NTRK fusions), regardless of cancer origin. 

3. Liquid Biopsy & Minimal Residual Disease (MRD) Monitoring 

  • Detects ctDNA, exosomes, or tumor-derived RNA from blood. 
  • Monitors response or relapse non-invasively

MRD tracking can now adjust therapy in real-time (e.g., escalation/de-escalation based on relapse risk). 

4. Artificial Intelligence & Decision Support 

  • AI tools (e.g., IBM Watson, Tempus, PathAI) match molecular findings to clinical trials or therapies
  • Digital pathology, radiomics, and multi-omics platforms integrate data for automated insights

Personalized Care = Beyond the Genome 

  • Pharmacogenomics: Adjusting doses based on metabolism (e.g., TPMT for 6-MP in leukemia). 
  • Psychosocial needs: Mental health, social support, preferences. 
  • Lifestyle & comorbidities: Diabetes, cardiovascular risk, functional status. 
  • Patient-reported outcomes (PROs): Integrated into treatment planning. 

Clinical Implementation Pathway 

  1. Diagnosis & staging 
  2. Molecular profiling / NGS panel 
  3. Tumor board review (including molecular pathologist) 
  4. Precision treatment selection (targeted, immunotherapy, trials) 
  5. Monitoring (imaging + biomarkers) 
  6. Adapt treatment based on response / resistance 

Example: Precision Oncology Programs 

Institution Program Name Highlights
Memorial Sloan Kettering  MSK-IMPACT  Matched therapy, >10,000 patients 
MD Anderson  APOLLO & ICON Programs  Multi-omics + AI prediction 
NCI-MATCH Trial  Nationwide tumor-genotype trial  Basket trials by mutation 

Sources: