Tumour heterogeneity

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29 Terms

1
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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

2
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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

3
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What clinical problems can tumour heterogeneity cause?

It makes response and prognosis difficult to predict and can contribute to treatment resistance

4
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What is precision oncology ?

Improving treatment by stratifying patients - using genetic mapping and prognostic/ predictive biomarkers - into more homogenous drug-response groups

5
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Distinguish prognostic from predictive biomarkers

Prognostic: informs likely clinical outcome irrespective of treatment. Predictive: identifies patients likely to respond to a specific treatment

6
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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)

7
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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

8
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What defines triple negative breast cancer

TNBC

Low or absent oestrogen, HER2 and progesterone receptor

9
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What does hormone receptor-positive (HR+) mean ?

High oestrogen and progesterone receptor expression

10
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How does histopathology help stratify breast cancer ?

Cell and tissue morphology, including H&E staining, can distinguish histopathological subtypes

11
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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

12
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What are the limitations of classical histology for predicting outcome

Subtype and grade provide only approximate prognosis and do not accurately predict treatment response

13
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What sources of infra-tumour heterogeneity are listed ?

Epithelium; tumour micro environment; storms; vasculature; stem/progenitor subpopulations; clonality and maturation burden

14
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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

15
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How is ER/HER2 receptor status assessed ?

Immuno-histopathology: receptor-specific antibody staining of tissue sections

16
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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

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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

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What caveat about GEP subtypes is noted ?

Luminal C is commonly included within luminal B and is not regarded as a separate GEP subtype

19
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Did original GEP panels improve prediction of treatment response or survival ?

Yes, but only for ER+/HR+ patients and only marginally

20
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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

21
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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

22
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What are they key features of Oncotype DX ?

21 gene qRT-PCR panel

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What are the key features of PAM50

50 gene qRT-PCR panel

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What does the breast cancer index (theros) measure ?

3-gene qRT-PCR panel

25
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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

26
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What three P objectives of molecular genetics driven personalised medicine objectives

Prevention

Prediction

Participation

27
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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

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What additional molecular subtypes are described in recent analysis ?

Six-triple negative subtypes

Two HER2-positive subtypes

5 ER- positive subtypes

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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