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February 3-5, 2016 | Lansdowne Resort, Leesburg, VA Leveraging the “field effect” for precision molecular diagnostics: Opportunities and Challenges Avi Spira, MD Department of Medicine Boston University Medical Center [email protected]
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Page 1: Leveraging the “field effect” for precision molecular ...collaboration.aacr.org/sites/CPS/Shared Documents/Session...The elevator pitch! Silvestri et al. NEJM 2015;373:243-251

February 3-5, 2016 | Lansdowne Resort, Leesburg, VA

Leveraging the “field effect” for precision molecular diagnostics: Opportunities and Challenges

Avi Spira, MD

Department of Medicine

Boston University Medical Center

[email protected]

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Disclosures

Founder of Allegro Diagnostics Inc. (acquired by Veracyte Inc.

on Sept 4, 2014)

Sponsored Research Agreements with Janssen

(PCGA and DECAMP)

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Most cancers arise in a “field” of

molecular alterations from

exposure to cancer-causing

agents

Measuring the physiological

response of the host to exposure

within the “field” could provide:

- Early markers of

individualized cancer risk in

relatively accessible tissue

The “field effect” impacts most cancers

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There is more than one “field”:

field cancerization vs. field of injury

Modern Pathology 2015

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Translational Opportunities for precision

medicine via the “field” Diagnostic Biomarker

• Prevent unnecessary invasive procedures in those with benign disease

Screening biomarkers

• Identify those at highest risk who should undergo screening

Precision approaches to prevention (therapeutic targets)

• Genomic alterations in the “field” to stratify into intervention

Monitoring premalignant disease progression

• Prognostic markers regarding indolent vs. aggressive pre-cancer lesions

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Opportunity to develop precision diagnostics: bronchial airway

gene-expression as a biomarker of smoking and lung cancer

RNA-Whole genome gene-

expression profiling

Smoking impacts airway and microRNA

gene expression

PNAS 2004; NAR 2005; PNAS 2009

Subset of changes are irreversible upon

cessation Genome Biology 2007

Airway gene expression can serve as an early

diagnostic biomarker for lung cancer

Nature Medicine 2007; CaPR 2008; NEJM 2015

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The elevator pitch!

Silvestri et al. NEJM 2015;373:243-251

Page 8: Leveraging the “field effect” for precision molecular ...collaboration.aacr.org/sites/CPS/Shared Documents/Session...The elevator pitch! Silvestri et al. NEJM 2015;373:243-251

The elevator pitch!

Silvestri et al. NEJM 2015;373:243-251

Page 9: Leveraging the “field effect” for precision molecular ...collaboration.aacr.org/sites/CPS/Shared Documents/Session...The elevator pitch! Silvestri et al. NEJM 2015;373:243-251

Sensitivity ~90%

Specificity ~ 50%

NPV > 90%

Clinical Utility of this test:

41% of noncancer patients with non-diagnostic

bronchoscopies underwent invasive procedures (TTNA or

surgery) post-bronchoscopy

34% (37/110) of surgical lung biopsies were performed for

benign lesions

50% of unnecessary invasive procedures could have

been avoided based on a negative biomarker

Vachani et al. In press.

PerceptaTM launched by Veracyte, April 2015

The challenge in overcoming “the valley of death”: moving

from clinical validation to clinical utility

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Translational Opportunities for precision

medicine via the “field” Diagnostic Biomarker

• Avoid unnecessary invasive procedures in those with benign disease

Screening biomarkers

• Identify those at highest risk who should undergo screening

Precision approaches to prevention (therapeutic targets)

• Genomic alterations in the “field” to stratify into intervention

Monitoring premalignant disease progression

• Prognostic markers regarding indolent vs. aggressive pre-cancer lesions

Page 11: Leveraging the “field effect” for precision molecular ...collaboration.aacr.org/sites/CPS/Shared Documents/Session...The elevator pitch! Silvestri et al. NEJM 2015;373:243-251

Extending the “field” to the nasal epithelium

Clinical ModelClinico-

genomic

AUC* 0.76 0.80

Sens* 0.85 0.94

Spec 0.42 0.44

NPV* 0.73 0.88

PPV 0.60 0.63

Validation of a clinical model vs. clinical model +

30 gene nasal marker (n=132)

Funded by EDRN; Perez-Rogers et al. submitted

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Potential clinical applications: moving to screening

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The Detection of

Early Lung Cancer

Among Military

Personnel

(DECAMP)

Consortium

The challenge in developing and validating a screening biomarker:

longitudinal study of the “field” in high-risk individuals

Funded by DoD;

Janssen

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DECAMP1 (nodule) study

DECAMP2 (screening) study

Page 15: Leveraging the “field effect” for precision molecular ...collaboration.aacr.org/sites/CPS/Shared Documents/Session...The elevator pitch! Silvestri et al. NEJM 2015;373:243-251

Translational Opportunities for precision

medicine via the “field” Diagnostic Biomarker

• Avoid unnecessary invasive procedures in those with benign disease

Screening biomarkers

• Identify those at highest risk who should undergo screening

Precision approaches to prevention (therapeutic targets)

• Genomic alterations in the “field” to stratify into intervention

Monitoring premalignant disease progression

• Prognostic markers regarding indolent vs. aggressive pre-cancer lesions

Page 16: Leveraging the “field effect” for precision molecular ...collaboration.aacr.org/sites/CPS/Shared Documents/Session...The elevator pitch! Silvestri et al. NEJM 2015;373:243-251

Opportunities for the “field” to impact the premalignant setting

Companion Dx PrognosticCampbell et al. CaPR 2016

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The Airway “field of injury” as a potential companion diagnostic and

intermediate marker for therapeutic efficacy in chemoprevention setting

Genes that are highly

expressed when PI3K is

activated

Activity of PI3K gene-expression pathway is significantly reduced post-treatment

with myo-inositol in those smokers who had regression of their dysplastic lesions :

potential marker for selecting patients likely to respond? Science

Translational

Medicine. 2010

The Validation Challenge: Phase-2b clinical trial: ~75

subjects with dysplasia randomized to placebo vs.

myoinositol

-Lam et. al. Under revision

Eva Szabo, Stephen Lam,

Paul Limburg

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Results: Gene expression/Presence of Premalignant LesionsGene expression alterations in the “field” associated with

presence of premalignant lesions: Prognostic markers?

This gene signature

overlaps with genomic

alterations in the

premalignant lesion itself

Smokers with

Premalignant lesion

Smokers without

Premalignant lesion

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Challenge in establishing longitudinal study of premalignant disease where

“field” collected: The PCGA for Squamous Cell Lung CancerFunded by Janssen in collaboration with Mary Reid, Roswell Park

Potential biomarker for stratifying high-risk subjects into

chemoprevention trials and monitoring efficacy of intervention

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Overarching challenge: heterogeneity in the “field”

Immune cells??

Can single cell sequencing provide us with insight into molecular heterogeneity ?

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Summary and Future Directions:

The molecular “field of injury” provides a temporal and spatial window for precision detection

and prevention of many tumor types

• Measuring an individual’s physiologic response to cancer-causing agents that precedes cancer

development and is relatively accessible to sample

NEEDS:

• Longitudinal high-risk cohorts (PCGA) with field sampled including in chemoprevention trial

setting

• High-throughput cost-effective single cell approaches to study heterogeneity. How deep ??

• High-throughput in vitro and in vivo premalignant systems to screen candidate genes

• Role of immune system, microbiome, epigenome etc…in the “field”

• Explore whether neoantigens in the field could be targets for immunoprevention

• Platform for evaluating the “exposome”?


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