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Define intra-tumour and inter-tumour heterogeneity ?
Intra-tumour: variation within a tumour
Inter-tumour: variation between tumours and/or patients
Why is cancer not considered a single disease?
Tumours arise from different tissues/cells of origin and are genetically and phenotypically heterogenous; treatments may not work across all tumours or all cells in one tumour
What clinical problems can tumour heterogeneity cause?
It makes response and prognosis difficult to predict and can contribute to treatment resistance
What is precision oncology ?
Improving treatment by stratifying patients - using genetic mapping and prognostic/ predictive biomarkers - into more homogenous drug-response groups
Distinguish prognostic from predictive biomarkers
Prognostic: informs likely clinical outcome irrespective of treatment. Predictive: identifies patients likely to respond to a specific treatment
What practical requirements does the lecture give for biomarkers ?
They should be easy to measure and have consequences for therapy (e.g. whether to treat)
What four receptor-status groups are used to subdivide breast cancer ?
ER+/HER2-
ER-/HER2+
ER+/HER2
Neither (triple negative)
Receptor status influences treatment response and prognosis
What defines triple negative breast cancer
TNBC
Low or absent oestrogen, HER2 and progesterone receptor
What does hormone receptor-positive (HR+) mean ?
High oestrogen and progesterone receptor expression
How does histopathology help stratify breast cancer ?
Cell and tissue morphology, including H&E staining, can distinguish histopathological subtypes
What are the classical breast cancer grades ?
GX: cannot assess
G1: well differentiated/ low grade
G2: moderately differentiated / intermediate
G3: poorly differentiated / high
G4: undifferentiated/ high
What are the limitations of classical histology for predicting outcome
Subtype and grade provide only approximate prognosis and do not accurately predict treatment response
What sources of infra-tumour heterogeneity are listed ?
Epithelium; tumour micro environment; storms; vasculature; stem/progenitor subpopulations; clonality and maturation burden
What classical clinical/histological factors are listed as markers ?
Type/grade; nodal status; lymph/vascular invasion; tumour size; age; ethnicity; smoking; drinking and obesity; comorbidity; hormone receptor status
How is ER/HER2 receptor status assessed ?
Immuno-histopathology: receptor-specific antibody staining of tissue sections
Which therapies are associated with ER-positive and HER2-positive breast cancer
ER- directed: tamoxifen, Faslodex/fulvestrant, aromatase inhibitors.
HER2-directed: Herceptin/trastuzumab
Chemotherapy is also indicated for receptor-negative disease
What is gene expression profiling (GEP) used for ?
It measures informative gene-expression patterns to subdivide breast cancer into molecular groups, broadly mapping onto original hormone-status cohorts
What caveat about GEP subtypes is noted ?
Luminal C is commonly included within luminal B and is not regarded as a separate GEP subtype
Did original GEP panels improve prediction of treatment response or survival ?
Yes, but only for ER+/HR+ patients and only marginally
What additional benefit did GEP provide ?
It identified subtype associated genes, including known oncogenes/tumour suppressors and genes with unknown roles, creating potential prescision-therapy targets
What are the key features of MammaPrint (70 gene microarray)
Prognostic for 10 year metastasis risk, high risk DFS 87%; FDA-approved for prognostic assessment of metastasis progression
What are they key features of Oncotype DX ?
21 gene qRT-PCR panel
What are the key features of PAM50
50 gene qRT-PCR panel
What does the breast cancer index (theros) measure ?
3-gene qRT-PCR panel
What are the advantage and limitations of biomarkers panels ?
Can reduce overtreatment and guide treatment selection; MammaPrint could have altered treatment for 34 % of patients
Limitations: clinic strategies complicate standardisation/interpretation and sample collection varies
What three P objectives of molecular genetics driven personalised medicine objectives
Prevention
Prediction
Participation
What can next generation sequencing reveal ?
Detects genomic variation, single nucleotide differences, clonality and heterogeneity
Combined with transcriptomics, stratified breast cancer into 10 subtypes, improved prognostic discrimination, and identified oncogenes dirvers and passenger mutations
What additional molecular subtypes are described in recent analysis ?
Six-triple negative subtypes
Two HER2-positive subtypes
5 ER- positive subtypes
What emerging role of AI-based histopathology is mentioned ?
AI analysis of H&E stained slides is being studied to determine ER, PR and HER2 status, including multi-site validation