BN - Precision medicine and personalised cancer immunotherapies Flashcards
(16 cards)
Q1: What is precision medicine and how does it differ from personalised medicine? (4)
- Precision medicine: Tailors treatment based on genetic, environmental, and lifestyle differences across patient subgroups.
- Focuses on population-level characteristics and molecular phenotypes (e.g. genome, proteome, metabolome).
- Personalised medicine: Tailored to an individual patient’s unique profile.
- While often used interchangeably, personalised is more individualised than precision medicine.
Q2: What technological advancements are enabling precision medicine? (3)
- Omics technologies: Genomics, transcriptomics, proteomics, metabolomics, lipidomics.
- Especially pharmacogenomics: Studies how genetic makeup influences drug response.
- Use of next-generation sequencing enables rapid identification of disease-causing mutations.
Q3: What are some clinical applications of precision medicine? (5)
- Gene therapy for spinal muscular atrophy, cystic fibrosis, and sickle cell disease.
- Targeted drugs for HER2+ breast cancer (e.g., trastuzumab).
- BCR-ABL inhibitors (e.g., imatinib) for CML.
- Anti-CD20/CD19/CD79b mAbs in lymphomas.
- Over 200 FDA-approved drugs now include pharmacogenomic label info.
Q4: How does precision medicine improve cancer care? (3)
- Helps stratify patients based on molecular phenotype to optimise therapy.
- Targets known molecular pathways or tumour locations.
- Improves treatment precision via proteogenomic stratification (integrates genomic + proteomic data).
Q5: How does the immune system naturally respond to tumours? (6)
- Innate immunity: Rapid, non-specific response; presents antigens to adaptive system.
- Adaptive immunity: Slow, specific, memory-forming response.
- Immune system normally recognises and removes abnormal cells (immune surveillance).
- Tumours evade detection via weak immune responses, loss of MHC, or being immunocompromised.
- Tumour-associated antigens (TAAs) are often weak and hard to target.
- T cell responses are often weak or exhausted, allowing tumour survival.
Q6: What makes tumour cells recognizable or invisible to the immune system? (5)
- Some tumours contain microbes or arise from viruses (foreign signal).
- Many lose MHC (HLA) display, making them “invisible” to T cells.
- Tumours express TAAs (e.g., NY-ESO-1, MAGE) – abnormal in time, location, or amount.
- Tumour-specific antigens (TSAs) arise from mutations and are truly foreign.
- These differences determine how “self” or “non-self” a tumour appears immunologically.
Q7: How do lymph nodes contribute to anti-tumour immunity? (5)
- Serve as immune hubs that filter lymph fluid for antigens.
- B cells in the cortex respond to matching antigens via BCRs.
- B cells interact with helper T cells → undergo class switching and differentiation.
- T cells and dendritic cells are drawn to nodes via CCR7 signaling.
- Lymph nodes facilitate T and B cell activation and coordinate immune attack.
Q8: How are tumour antigens presented to T cells via MHC pathways? (3)
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Endogenous (MHC I):
- Intracellular proteins degraded by proteasome, peptides loaded onto MHC I via TAP, presented to CD8+ T cells.
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Exogenous (MHC II):
- Engulfed proteins are processed in lysosomes, loaded onto MHC II via HLA-DM, presented to CD4+ helper T cells.
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Cross-Presentation:
- APCs can present exogenous proteins on MHC I, crucial for initiating cytotoxic T cell responses to tumours.
Q9: What are the major immunotherapy strategies for cancer? (5)
- Immune checkpoint inhibitors – e.g., anti-PD-1/PD-L1 to boost T cell activity.
- Adoptive T cell therapy – e.g., CAR-T cell therapy.
- Monoclonal antibodies – e.g., anti-TAA antibodies.
- Therapeutic vaccines – deliver TAAs to stimulate immunity.
- Immunomodulators – e.g., cytokines, BCG, angiogenesis inhibitors.
Q10: What is T cell exhaustion and how is it reversed by checkpoint inhibitors? (4)
- Acute stimulation triggers response, followed by downregulation via PD-1/PD-L1 to avoid autoimmunity.
- Chronic stimulation in tumours leads to T cell exhaustion (upregulation of PD-1, Tim-3, LAG-3).
- Exhausted T cells are ineffective against tumours.
- Checkpoint inhibitors block PD-1/PD-L1, reinvigorating T cells to attack cancer.
Q11: What is the relationship between mutational burden and checkpoint inhibitor efficacy? (4)
- High TMB increases the likelihood of neoantigen formation.
- More mutations = more T cell-recognisable targets.
- Cancer types with high TMB (e.g., melanoma, lung cancer) respond better to PD-1 blockade.
- TMB is now used as a biomarker for immunotherapy suitability.
Q12: What types of gene mutations contribute to tumour formation? (4)
- Driver mutations: Promote tumour growth.
- Passenger mutations: Accidental, neutral.
- Proto-oncogenes: Normal growth genes; when mutated → oncogenes (overactive).
- Tumour suppressor genes & DNA repair genes: When inactivated → loss of growth control and mutation accumulation.
Q13: What causes mutations leading to cancer and how do they affect proteins? (5)
- Causes: UV, smoke, viruses, alcohol, cell division errors, inheritance.
- Missense mutations → amino acid changes = neoantigens.
- Mutated p53 = common loss-of-function mutation, promotes tumour formation.
- Mutant proteins can disrupt cell growth regulation.
- If recognised as “non-self”, these proteins can be T cell targets.
Q14: How do tumour-associated antigens (TAAs) differ from tumour-specific antigens (TSAs)? (4)
TAAs:
- Overexpressed in tumours but also found in healthy tissues.
- Risk of off-target effects in therapy.
TSAs (Neoantigens):
- Result from unique mutations in tumours.
- Not found elsewhere in the body → high specificity, low side effects.
P53 can act as either, depending on context.
Q15: How do T cells recognise and respond to tumour mutations? (4)
- T cells detect peptides presented by MHC molecules.
- Tumours can produce abnormal or developmental proteins (CTAs, splice variants).
- Challenge: TCRs do not reveal the identity of target peptides.
- Identifying true neoantigens remains difficult; only 5–20 clonotypes usually active per tumour.
Q16: What are the main takeaways from precision cancer immunotherapy? (6)
- Omics enables stratification and targeted treatment.
- Mutations drive tumour formation and define therapy responses.
- Checkpoint blockade works best in high-TMB tumours.
- Neoantigens from non-synonymous mutations are ideal immune targets.
- Effective therapy requires recognition of MHC-bound peptides.
- Precision targeting of mutated proteins is key to advancing safe, potent immunotherapies.