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Page 1: Predictive Biomarkers and Drug Resistance

• Acquisition of tumour multidrug resistance inevitable in most advanced solid tumours– Failing to cure the majority of advanced solid tumours– Declining therapeutic benefits at higher drug cost

• Drug resistance highly complex: – Approx 10% of kinases alter resistance to one or more drugs (Swanton et al 2007 Cancer Cell ; Swanton et al 2007 Cell Cycle)

• Failure of Biomarker Validation– 150,000 biomarkers only 100 for clinical use

Predictive Biomarkers and Drug Resistance

Page 2: Predictive Biomarkers and Drug Resistance

Intratumour Heterogeneity

• Evidence of intratumour heterogeneity

• Possible Implications for biomarker studies

• Practical approaches to address heterogeneity

Page 3: Predictive Biomarkers and Drug Resistance

Breast Cancer Intra-tumour Heterogeneity

Sector Ploidy Profiling and DNA Copy Number Analysis

• Multiple intermixed cell subpopulations within one tumour differ by large genomic events/focal amplifications/ deletions

Navin N, et al. Genome Res 2010Navin N, et al Nature 2011

Geyer and Reis-Filho J Path 2010Shah and Aparicio Nature 2012

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Does a Single Tumour Biopsy:

Represent the tumour somatic/transcriptomic landscape ?

Provide robust biomarkers of outcome ?

Demonstrate that all mutations are ubiquitously present in every region of a tumour Predicted by a linear/clonal sweep model of tumour evolution

Provide reliable data following Deep Sequencing Analysis to stratify patients for trials ?

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Ubiquitous

SharedPrimary

SharedMets

Private

65% mutations are heterogeneous and not present in every biopsy

Primary Mets

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Re-construct Phylogenetic Evolution of Tumour

Page 7: Predictive Biomarkers and Drug Resistance

Normal

Evidence for Convergent EvolutionSETD2 Loss of Function: H3K36 tri-methylation

3 distinct SETD2 mutations associated with loss of function: Mutational capacity?

Page 8: Predictive Biomarkers and Drug Resistance

Evidence intratumour heterogeneity may impact upon drug response?

6 weeks of Everolimus therapy Assess status of mTOR pathway across different regions of the tumour Evidence of Differential Pathway Activity post-Everolimus exposure?

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mTOR active in all primary regions except R4 and metastases

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Heterogeneous Kinase Domain mTOR mutation L2431P

mTOR mutation L2431P

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Kinase Domain mTOR mutation L2431P Associated with Constitutive Activation of the mTOR Kinase

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Kinase Domain mTOR mutation L2431P Lies in A Repressor Domain Close to Activation Loop of Kinase

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Tracking Tumour Growth

Seeding of metastatic sites can be tracked to one tumour region

M2a,b M1

Chest Wall Metastasis Perinephric Metastasis

NormalR9

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Primary Tumour Regions Metastatic SitesPrimary Tumour Regions Metastatic Sites

Allelic Imbalance: ITH within Chest wall metastasis

Only somatic mutations with >20x coverage were included

Only somatic mutations with >20x coverage were included

M2a,b M1

Chest Wall Metastasis Perinephric Metastasis

R9

Page 15: Predictive Biomarkers and Drug Resistance

Primary Tumour Regions Metastatic Sites

Only somatic mutations with >20x coverage were included

Only somatic mutations with >20x coverage were included

Primary Tumour Regions Metastatic Sites

Heterogeneity of RCC Prognostic Signature Expression

MedianccA 103 monthsccB 24 months

Gen

es u

preg

ulat

ed in

ccA

Gen

es in

ccB

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Darwin and cancer branched evolution

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Relevance of ITH and Cancer Branched Evolution

Patient 1

Tumour Diversity Supports Evolutionary Fitness (Maley et al 2006)

Tumour Adaptation and Selection for• Drug resistance (Su et al 2012; Lee et al 2011)

• Metastatic growth (Yachida and Campbell 2010, Shah 2009)

Tumour Sampling Bias • Different tumour biopsies different results• Sites of disease evolve independently

Clonal Dominance and Actionable Mutations?• Mutations present at one site but not another


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