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Circula(ng tumour DNA as a tool for non invasive cancer analysis Tim Forshew – Transla(onal Cancer Gene(cs Detecting and tracking circulating tumor DNA (ctDNA)!
2
Cell-free DNA for pre natal diagnosis!
Detecting and tracking ctDNA!
A>T
Genetic changes
-Mutation/rearrangement
-Copy number change
Epigenetic changes (methylation)
4
Tumour burden/ circula*ng tumour DNA The different potential roles of ctDNA as a biomarker!
Tumour ini*a*on Treatment response Molecular stra*fica*on Early detec*on Time First treatment Differing treatment response Tumour evolu*on Residual disease Second treatment 5
Detecting and tracking individual mutations!
Mutation-specific
assay
6
ctDNA to assess colorectal cancer dynamics!
Diehl et al, Nat Med. Sep 2008
7
Analysis of ctDNA to monitor metastatic breast cancer!
8
Analysis of ctDNA to monitor metastatic breast cancer!
Dawson et al, N Engl J Med. 2013 Mar
9
ctDNA in advanced malignancies!
10
Bettegowda et al. Sci Transl Med 19 February 2014: Vol. 6, Issue 224, p. 224ra24
Bettegowda et al, Sci Transl Med. Feb 2014
ctDNA in localized and nonlocalized malignancies!
Bettegowda et al, Sci Transl Med. Feb 2014
11
Sequencing ctDNA!
Mutation-specific
assay
12
De novo mutation detection by targeted ctDNA
sequencing!
PE1-­‐CS1 CS1-­‐TS-­‐F Target Sequence CS2-­‐TS-­‐R PE2-­‐BC-­‐CS2 Forshew et al, Sci Transl Med. May 2012
13
ctDNA levels can be high!
Exome
Exome
Dawson et al, N Engl J Med. 2013 Mar
14
Why exome sequence ctDNA? – Tumour evolution!
15
Allele fraction
Allele fraction
Allele fraction
Allele fraction
Plasma
sample
Plasma
sample
Plasma
sample
Plasma sample
ormed
on 2–5
plasma samples
before treatment
at
progression
before treatment
at progression
of treatment, at selected time
Treatment
Treatment
our mutations in plasma was
Why
For two
cases, exome
synchronoussequence ctDNA? – Tumour evolution!
ming genome-wide represensma. Quantification of allele
ed representation of mutant
of therapy resistance. These
3CA (phosphatidylinositol-4,5it alpha) following treatment
n in RB1 (retinoblastoma 1)
Exome
Exome
; a truncating mutationsequencing
in
sequencing
1) following treatment with
following subsequent treatmutation in GAS6 (growth
; and a resistance-conferring
Analysis of mutations
Analysis of mutations
actor receptor; T790M) followin plasma DNA
in plasma DNA
esults establish proof of princulating
tumour DNA could
Mutations
MutationsMutations
Mutations
approaches to identify mutasistance in advanced
cancers.
Identification
Identification
Exome
Exome
of
mutations
of mutations
lasma constitutes a new paraselected by
selected by
n in human cancers.
treatment
treatment
me is required to identify the
2
. Serial
tumour Figure 1 |mutational
rug
ure 1resistance
| Identification
of treatment-associated
changes
from
Identification
of treatment-associated
mutational changes from
me sequencing
serial
plasma samples.
of the
study plasma
design: samples. Overview of the study design:
nable.
Tumoursofare
heterogenexomeOverview
sequencing
of serial
sma
was collected
treatment and
at multiple
time-points
during
plasma
was collected
before
treatment and at multiple time-points during
if several
biopsiesbefore
are obtained,
16
tment and follow-up
patients.
sequencing
was cancer patients. Exome sequencing was
treatment
andExome
follow-up
of advanced
mporally.
Analysis of
ofadvanced
isolated cancer
ctDNA exome sequencing!
Breast cancer
ID: DETECT-52
ER-positive Her2-positive
Murtaza et al, Nature. 2013 May
17
Early relapse detection!
Misale et al, Nature. 2012 June
18
Conclusion and future directions!
!   Sensi(ve and quan(ta(ve muta(on detec(on in plasma !   Possible uses as “liquid biopsy” !   First de novo muta(on by plasma sequencing !   New clinical cohorts, Improved sensi(vity, different sample types !   New UCL transla(onal cancer gene(cs lab 19
Acknowledgments!
Nitzan
Davina
Francesco
Rosenfeld
Gale
Marass
Dana
Tsui
Muhammed
Murtaza
Keval
Patel
James Brenton
Christine Parkinson
Ania Piskorz
Mercedes JimenezLinan
Heather Biggs
Carlos Caldas
Sarah-Jane Dawson
Tan Min Chin
Fluidigm
Andy May
Fiona Kaper
Illumina
David Bentley
Florent Mouliere, Andrea RuizValdepeñas, Suzanne Murphy
Genomics core
facility
James Hadfield
Sarah Leigh Brown
Michelle Osborne
Claire Fielding
Hannah Haydon
Fatimah Madni
Bioinformatics core
facility
Ben Davis
Mark Dunning