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4/11/2016
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ACCME/DisclosuresThe USCAP requires that anyone in a position to influence or control the content of CME disclose
any relevant financial relationship WITH COMMERCIAL INTERESTS which they or their
spouse/partner have, or have had, within the past 12 months, which relates to the content of
this educational activity and creates a conflict of interest.
Dr. David Wu declares having received research funding for studies with Adaptive Biotechnology,
Seattle, WA.
Clinical Application of NGS for MRD Monitoring in Lymphoid Neoplasms
David Wu, MD, PhDDepartment of Laboratory MedicineUniversity of Washington, Seattle
http://www.uscap.org/meetings/detail/2016‐annual‐meeting/sessions/2333
Agenda
• Background
• Technical considerations• Defining the clone• Ensuring minimal bias in multiplexed PCR• Sensitivity and specificity• Limitations
• Clinical applications• Acute lymphoblastic leukemia• Mature B-cell lymphomas and plasma cell neoplasms• Mature T-cell lymphomas
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Agenda
• Background
• Technical considerations• Defining the clone• Ensuring minimal bias in multiplexed PCR• Sensitivity and specificity• Limitations
• Clinical applications • Acute lymphoblastic leukemia• Mature B-cell lymphomas and plasma cell neoplasms• Mature T-cell lymphomas
Diversity of the immune system
IGHV D J C
D‐J
V‐DJ
Generic structure of IGH or TRB locus after VDJ rearrangement
Warren E H et al. Blood 2013;122:19-22©2013 by American Society of Hematology
NGS provides unprecedented TRB detail
H. Robins et al., Blood, 2009; 114:4099©2009 by American Society of Hematology
TRBV 10
J segments
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Immune profiling
Nature Biotechnology, 31(3):184‐186
• Academic institutions• Adaptive Biotechnologies (Seattle, WA and San
Francisco, CA)
• Atreca (San Carlos, CA)
• Clontech Laboratories, Inc. (Mountain View, CA)
• EuroClonality‐NGS Consortium• iRepertoire (Huntsville, AL), www.r10k.org
• ImmuMetrix (Palo Alto, CA)
• Invivoscribe (San Diego, CA)
• “Main objectives of the EuroClonality‐NGS consortium are to develop, standardize, and validate IG/TR NGS assays for (i) clonality assessment; (ii) MRD analysis; and, (iii) repertoire analysis
• Focus on standardization, which not only concerns the analytical phase, but also the pre‐analytical (e.g. sample preparation, target choice) and the post‐analytical phases (e.g. bioinformatics pipeline).
• Finally, a very important aim of the consortium is to validatethe technology via large‐scale testing of clinical samples and in the context of clinical trials.”
http://www.euroclonality.org/
Strategies for MRD assessment
• Multi-parametric flow cytometry (10-4 to 10-5)+ Widely used, reasonably sensitive and specific− Operator/laboratory dependent, difficult to standardize
• Molecular-based methods (10-5 to 10-6)+ More “objective”− Laborious, time-consuming− Patient-specific, requires individualized validation
Agenda
• Background
• Technical considerations• Defining the clone• Ensuring minimal bias in multiplexed PCR• Sensitivity and specificity• Limitations
• Clinical applications • Acute lymphoblastic leukemia• Mature B-cell lymphomas and plasma cell neoplasms• Mature T-cell lymphomas
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Identification of clonal TRB sequences
©2012 by American Society of Hematology
Gawad C et al. Blood 2012;120:4407-4417
• 51 random patients with B‐ALL
• >145 million reads• Average >750K reads per sample
• 5% threshold in this cohort defined as index clonotypes
Defining a clone
B‐ALL samples Bone marrow control
10‐1
10‐3
Freq
uency
10‐5
Controlling PCR bias is critical
Standard Multiplex PCR Assay Bias Controlled Assay
15
Courtesy of Harlan Robins, Fred Hutchinson Cancer Research Center, Seattle, WA
Addressing multiplex PCR bias
C. Carlson et al., Nat. Commun. 2013 Oct 25;4:2680. doi: 10.1038/ncomms3680.
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Addressing PCR bias using a synthetic immune system
• Known versus unknown immune repertoire • Create TRG 56 synthetic templates (14 V x 4 J) • (Separate work with IGH 1,116 templates)
• Empirical primer titration, with computational correction of residual bias
C. Carlson et al., Nat. Commun. 2013 Oct 25;4:2680. doi: 10.1038/ncomms3680. C. Carlson et al., Nat. Commun. 2013 Oct 25;4:2680. doi: 10.1038/ncomms3680.
56 synthetic templates, rank ordered
Amplificatio
n bias, r
elative to m
ean 1st iteration
2nd iteration
3rd iteration
8th iteration
Bi-allelic TRG rearrangements should be counted comparably
C. Carlson et al., Nat. Commun. 2013 Oct 25;4:2680. doi: 10.1038/ncomms3680.
Log10 (Allele 1)
Log 1
0(Allele 2)
©2012 by American Society of Hematology
Faham M et al., Blood 2012; 120:5173-5180
NGS can be highly sensitivity
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©2012 by American Society of Hematology
Faham M et al., Blood 2012; 120:5173-5180
…and accurate vs. flow cytometry and ASO‐PCR
Sequences are largely specific
TRB
TRG
Wu et al., Sci Transl Med. 2012 May 16;4(134):134ra63. doi: 10.1126/scitranslmed.3003656.
Specificity: cross-patient comparisons
• TRB coincidences: 3 of 1,344 comparisons (32 x 42) = 0.22%
• TRG coincidences: 17 of 1,512 comparisons (36 x 42) = 1.12%
G. Cazzaniga and A. Biondi, Haematologica 2005; 90:382‐390
More similarities than expected
• Sequence CDR3 regions from TRB of CD8+ T cells of 7 adults
• The CDR3 repertoire is biased toward specific V-J pairs, primarily by sequences with few inserted nucleotides
• Actual variation is < 0.1% of the estimated 5 x 1011 possible sequences
• Of 3 to 4 million T cells, only 5 TRB should be shared; however, finding is the > 10,000 TRB shared among 2 unrelated persons
Robins et al., Sci Transl Med. 2010 Sep 1;2(47):47ra64.
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Advantages of NGS for MRD• Broad applicability• Improve standardization • Circumvent laboratory work-flow
challenges • Enhance sensitivity and specificity of
MRD detection
• MRD detection generally requires sequence of index clone
• Sample input defines limit of detection• Analytic precision is dependent on sequencing
coverage (read-depth), but limited by Poisson sampling and sequencing error
• Must understand disease biology• Clonal sequences may not define disease• Clonal sequences may not be stable through therapy
Points to consider…
Agenda
• Background
• Technical considerations• Defining the clone• Ensuring minimal bias in multiplexed PCR• Sensitivity and specificity• Limitations
• Clinical applications• Acute lymphoblastic leukemia• Mature B-cell lymphomas and plasma cell neoplasms• Mature T-cell lymphomas
NGS applied to ALL MRD
• T-ALL cohort (COG AALL0934)• 43 patients samples • Paired pre- and day 29 post-treatment
• B-ALL cohort (COG AALL0932)• 98 patients samples • Paired pre- and day 29 post-treatment
Wu et al., Science Transl. Med. 2012; Wu et al. Clin. Cancer Res. 2014
Can high‐throughput sequencing (HTS) of TCR/IG gene rearrangements detect MRD ?
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D29 Post-treatment T-ALL MRD by HTS
9 cases 10 cases 12 cases
HTS versus Flow
HTS− / Flow− HTS+ / Flow− HTS+ / Flow+
Clon
e Freq
uency
Wu et al., Sci Transl Med. 2012
HTS+/Flow+23 cases
HTS+/Flow−28 cases
HTS− / Flow−40 cases
Wu et al. Clin. Cancer Res. 2014
Similar findings with B‐ALL cohort
Clon
e Freq
uency
~ 92% of unselected B‐ALL cases had clonal IGH suitable for MRD monitoring by sequencing
Questions to consider• What sensitivity is needed?• What are clinical implications of cases that are
HTS+positve and Flow−negative?
Recent papers in B-ALL
• Berlin-Frankfurt-Munster protocol with 210 samples from 76 patients
• 56 patients with B-cell ALL enrolled in Children’s Oncology Group trial ASCT0431.
M. Kotrova et al., Blood 126(8):1045 (2015)Pulsipher et al., Blood, 125(22):3501 (2015)
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HTS+/Flow+23 cases
HTS+/Flow−28 cases
HTS− / Flow−40 cases
Wu et al. Clin. Cancer Res. 2014
Clon
e Freq
uency
Clinical significance of discordant cases requires further study.
What is significance of HTS+ but flow negative cases?
Flow cytometry-sorting of “mature” B cells
Sequencing
Hypothesis: Treatment‐induced antigenic shift may explain presence of clonal IGH sequences
x 3
“mature” B cells
+
−
detector
Clonal IGH sequence may be found in triple flow-sorted “mature” B cells
Pre
Post
Wu et al. Clin. Cancer Res. 2014
Index clonal IGH sequence at 0.01% is detected in flow‐sorted “mature” B cells
Clonal “evolution” of IGH frequent in B-ALL
• Relapse clones often found retrospectively in pre-treatment samples at very low levels (Li et al., Leuk Res 2001; 25-1033; Li et al., Blood 2003; 102:4520; Choi et al., 2007; 110:632; Mullighan CG et al., Science. 2008;322(5906):1377-80.)
• Burden of relapse clone in pretreatment sample correlates with time to relapse (Choi et al. Blood 2007; 110:632)
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Mechanisms for clonal “evolution” of IGH
1. Incomplete DJ clones: on-going VH rearrangement
1. Complete VDJ clones: 5’ VH replacement modelV DJ
C
5’
5’
5’
3’
3’
3’
VDJ
VDJ
C
C
©2012 by American Society of Hematology
Gawad C et al. Blood 2012;120:4407-4417
Example of “evolved” IGH clones
Gawad C et al. Blood 2012;120:4407-4417©2012 by American Society of Hematology
Example on‐going rearrangement
Patient 36:No evolution
Patient 50: High level of evolution
IGH‐J IGH‐V
IndexNormalEvolved
Freq
uency
NGS for ALL
• Adequate sensitivity and specificity• May contribute to detection of so-called “evolved”
clones• Further clinical validation needed
• Time point for testing?• Significance of low level MRD?
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Non-Hodgkin B-cell lymphomas and plasma cell neoplasms
• Detecting Hodgkin lymphoma• Detecting clonal IGH as circulating DNA• MRD detection for plasma cell neoplasms
Armand P, et al., Detection of circulating tumour DNA in patients with aggressive B‐cell non‐Hodgkin lymphoma, Br J Haematol. 2013 Oct;163(1):123‐6. PMID: 23795711.
Roschewski M, et al., Circulating tumour DNA and CT monitoring in patients with untreated diffuse large B‐cell lymphoma: a correlative biomarker study, Lancet Oncol. 2015 May;16(5):541‐9. PMID:25842160.
Oki Y, et al., Detection of classical Hodgkin lymphoma specific sequence in peripheral blood using a next‐generation sequencing approach, Br J Haematol. 2015 Jun;169(5):689‐93. PMID: 25818067.
Martinez‐Lopez J, et al., Prognostic value of deep sequencing method for minimal residual disease detection in multiple myeloma, Blood. 2014 May 15;123(20):3073‐9. PMID: 24646471.
Mature T-cell lymphomas
• Help to define diagnostic boundary of reactive versus neoplastic
• Permit much more sensitive and specific monitoring
Weng WK, et al., Minimal residual disease monitoring with high‐throughput sequencing of T cell receptors in cutaneous T cell lymphoma. Sci Transl Med. 2013 Dec 4;5(214):214ra171. PMID:24307695.
Kirsch IR, et al., TCR sequencing facilitates diagnosis and identifies mature T cells as the cell of origin in CTCL, Sci Transl Med. 2015 Oct 7;7(308):308ra158. PMID: 26446955.
CTCL vs. reactive skin lesions
Kirsch IR, et al., Sci Transl Med. 2015 Oct 7;7(308):308ra158
Summary
• Clonality testing by NGS in lymphoid neoplasms is well underway
• Focus on standardization for quantitation • Ensuring optimal test utilization and assessing
clinical validity
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Acknowledgements
• University of Washington• Brent Wood, faculty colleagues, and staff of UW
Molecular Hematopathology Laboratory• T-ALL and B-ALL work
• COG collaborators: M. Loh, Stuart Winter, Kim Dunsmore (T-ALL), Anne Angiolillo (B-ALL)
• Adaptive Biotechnologies, Seattle, WA: Lanny Kirsch and A. Sherwood
• Fred Hutchinson Cancer Research Center• Harlan Robins, Fred Hutchinson Cancer Research
Center