Pharmacogenomics in Oncology

Pharmacogenomics in Oncology

Pharmacogenomics in Oncology

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Intro to PGx in Oncology - Cancer Code Crackers

Pharmacogenomics (PGx) in oncology aims to personalize cancer treatment by analyzing an individual's genetic makeup. It deciphers how genetic variations in both the patient (germline) and the tumor (somatic) influence drug efficacy and toxicity.

  • Primary Goals:
    • Maximize therapeutic benefit.
    • Minimize adverse drug reactions (ADRs).
  • Key Genetic Variations:
    • Germline (Patient's DNA): Inherited variants affecting drug metabolism, transport, or targets.
      • Crucial for predicting systemic drug toxicity.
      • Examples: DPYD (5-Fluorouracil), UGT1A1 (Irinotecan), TPMT (Thiopurines).
    • Somatic (Tumor DNA): Acquired mutations within the tumor driving cancer growth or conferring drug resistance/sensitivity.
      • Essential for selecting targeted therapies.
      • Examples: EGFR, ALK, BRAF, KRAS. Germline vs Somatic Mutations in Cancer Pharmacogenomics

⭐ Identifying specific somatic mutations (e.g., EGFR T790M) can predict resistance to certain targeted therapies and guide subsequent treatment choices.

Key Gene-Drug Pairs - Target Titans

GeneDrug(s)Cancer(s)Key Implication
TPMTAzathioprine, 6-MP, ThioguanineALLLow activity → ↑ myelosuppression. Test & dose adjust.
UGT1A1IrinotecanColorectalUGT1A1*28 → ↓ SN-38 metabolism → ↑ toxicity (neutropenia, diarrhea). Reduce dose.
DPYD5-FU, CapecitabineColorectal, BreastDeficiency → ↓ 5-FU clearance → ↑ severe toxicity. Test, avoid/reduce dose.
EGFRGefitinib (TKI); Cetuximab (MAb)NSCLC, CRCNSCLC: Activating muts (Ex19del, L858R) → TKI sensitive. T790M → Osimertinib. CRC: WT KRAS/NRAS for MAb.
HER2Trastuzumab, T-DM1Breast, GastricAmplification/Overexpression → predicts anti-HER2 benefit.
KRAS(Resistance to Cetuximab, Panitumumab)CRC, NSCLCMutations (codons 12, 13, 61) → anti-EGFR MAb resistance in CRC.
BRAFVemurafenib (BRAFi); Trametinib (MEKi)Melanoma, NSCLCV600E/K muts → BRAFi ± MEKi response.
BCR-ABL1Imatinib, Ponatinib (TKIs)CML, Ph+ ALLPhiladelphia t(9;22) → TKI target. T315I mut → Ponatinib.
ALKCrizotinib, Alectinib (ALKi)NSCLCRearrangements (EML4-ALK) → ALKi sensitivity.
ROS1Crizotinib, Entrectinib (ROS1i)NSCLCRearrangements → ROS1i sensitivity.

Clinical Implementation & Challenges - Bedside & Barriers

  • Bedside Application:
    • PGx Testing:
      • Germline (Blood/Saliva): Inherited variants (e.g., DPYD, UGT1A1) for predicting toxicity.
      • Somatic (Tumor Tissue): Acquired mutations (e.g., EGFR, BRAF) for guiding targeted therapy selection.
      • Methods: Next-Generation Sequencing (NGS), Polymerase Chain Reaction (PCR), Microarrays.
    • Clinical Decision Support (CDS):
      • Electronic Health Record (EHR) integration for real-time alerts & guidance.
      • Guidelines: CPIC, ESMO, NCCN.
    • Patient Journey:
      • Pre-test: Informed consent, discussion of Ethical, Legal, and Social Implications (ELSI).
      • Post-test: Result interpretation, potential family implications, counseling.
  • Significant Barriers:
    • Tumor Heterogeneity:
      • Intra- & inter-tumoral variations; clonal evolution can impact therapeutic efficacy.
    • Interpretation Complexity:
      • Variants of Unknown Significance (VUS) pose challenges.
      • Complex polygenic and environmental interactions influence drug response.
    • Systemic Hurdles:
      • Cost-effectiveness, insurance reimbursement issues, test Turn-Around Time (TAT).
      • Gap in clinician education and awareness.
    • Ethical Dilemmas:
      • Management of incidental findings, data privacy concerns, risk of genetic discrimination.

⭐ Somatic tumor testing (e.g., KRAS in colorectal cancer, HER2 in breast cancer) is more established in guiding oncology treatment selection than germline testing for Adverse Drug Reactions (ADRs), though DPYD testing for 5-Fluorouracil (5-FU) toxicity is a key germline example gaining traction.

Pharmacogenomics in Polypharmacy Workflow

High‑Yield Points - ⚡ Biggest Takeaways

  • TPMT variants predict thiopurine (azathioprine, 6-MP) toxicity.
  • UGT1A1*28 polymorphism increases irinotecan toxicity.
  • DPYD deficiency causes severe 5-FU/capecitabine toxicity.
  • KRAS mutations predict resistance to EGFR inhibitors (cetuximab) in colorectal cancer.
  • BRAF V600E mutation guides use of BRAF inhibitors (vemurafenib) in melanoma.
  • HER2/neu amplification is crucial for trastuzumab efficacy in breast cancer.
  • EGFR mutations (exon 19 del, L858R) in NSCLC predict response to EGFR TKIs; T790M indicates resistance to early TKIs but sensitivity to osimertinib.

Practice Questions: Pharmacogenomics in Oncology

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Which of the following is not considered a pharmacogenetic condition?

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Flashcards: Pharmacogenomics in Oncology

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Patients with POAG and their offspring and siblings are more likely to be steroid _____

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Patients with POAG and their offspring and siblings are more likely to be steroid _____

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