dissecting the immune response to colorectal cancer · • mulder et al., cancer immunol immunother...
TRANSCRIPT
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Dissecting the immune response to colorectal cancer
Edus H. Warren, MD, PhD Fred Hutchinson Cancer Research Center April 25, 2013
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Increasing evidence suggests that the immune system influences the natural history of solid tumors
Fridman et al., Nat Rev Can 12:298-306 (2012)
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Colon cancer incidence - global
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Colon cancer staging
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Colon cancer survival by stage
308,734 patients diagnosed with colorectal cancer in UK 1996-2006 Source: National Cancer Intelligence Network, http://www.ncin.org.uk/
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Immune response to colorectal cancer?
Survival by TNM stage Survival stratified by density of infiltrating CD3+CD45RO+ cells
Pagès et al., NEJM 2005; 353:2654-2566 Galon et al., Science 2006; 313:1960-
1964
Density of tumor infiltrating T lymphocytes (TIL), in particular CD45RO+ memory T cells, correlates with lower rate of events associated with metastasis & improved prognosis
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T cell subsets in CRC TIL also correlate with prognosis
Salama P, JCO 2009; Tosolini M, Cancer Res, 2011;
CD45RO, CD3, CD8, Th1, FOXP3+
Th17
Th1 Hi
Th1 Lo
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Studies characterizing CRC TIL interactions with autologous tumor
• Hom et al., Cancer Immunol Immunother 1993:
3 of 9 TIL secreted cytokine in response to autologous, cryopreserved colon tumor
• Mulder et al., Cancer Immunol Immunother 1995:
3 of 8 TIL secreted cytokine in response to autologous colon tumor
• Marits et al., Br J Cancer 2006:
1 of 6 TIL secreted IFN- in response to autologous tumor lysate from colon tumor
• Sarrabayrouse et al., Int J Cancer 2011:
0 of 4 CD4+ and CD8+ TIL, 3 of 4 DP CD4+CD8+ TIL secreted cytokine in response to autologous colon tumor
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[Some of the] Challenges in studying the autologous TIL response to CRC
• Tumor digests are heterogeneous mixtures of cancer cells, stroma, and TIL
• Small numbers of infiltrating lymphocytes from specimens
• Difficulty propagating autologous CRC tumor cells from surgical specimens in vitro
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Cell line-derived xenografts bear little resemblance to primary human CRC
H+E Ki-67 CEA
EpCAM HLA-ABC
SW480 colorectal carcinoma cell line
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NOD/Scid/IL2R−⁄− mice are excellent hosts for human CRC
NOD/SCID
Human colon cancer cells
O’Brien et al., Nature 2007; 445:106-110
Ricci-Vitiani et al., Nature 2007; 445:111-115
Dalerba et al., PNAS 2007; 104:10158-10163
Dangles-Marie et al., Cancer Res 2007; 67:398-407
2 3 4
…….
Todaro et al., Cell Stem Cell 2007; 1:389-402
NIDDK Core Center of Excellence, Xenograft Core P30 DK056465 (B. Torok-Storb)
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Dissecting the autologous adaptive immune response to colorectal cancer
NOD/Scid/IL2-R−⁄−
Tumor cells
Lymphocytes (TIL)
Expand TIL: • “REP” • aCD3/aCD28 beads • KT64/BBL cells
Establish xenograft
Immunophenotyping
TCR repertoire analysis
Functional analysis
Transcriptional profiling
Immunophenotyping
Histology and IHC
Transcriptional profiling
Methylation analysis
10-50-fold amplification per generation
>1000-fold amplification
Establish new xenografts!
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Digest tumor Expand
T cells
Implant tumor cells
275 cGy
Serial implants for expansion
Isolate T cell
subsets/ clones
Harvest & digest tumors
In vitro studies
In vivo studies
Expansion of CRC tumor and TIL for study of autologous anti-tumor responses
Flow cytometry, TCRb
repertoire analysis
CD8+ CD4+
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CD
8
CD4
Expanded CD45RO+
CD
8
CD4
CD4 CD8
CD
45
RO
CD45RA
D61540 Normal
Adjacent Colon
D61540 T1
D61540 T2
Most ab T cells in CRC TIL are CD4+CD45RO+
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Case #1: TIL from adjacent pieces of tumor
Tumor piece #1 (21%)
No
rmal
co
lon
(5
9%
)
No
rmal
co
lon
(6
7%
)
Tumor piece #2 (47%) Tumor piece #2 (24%) Tu
mo
r p
iece
#1
(2
5%
)
r=0.45 r=0.056 r=0.014 1 2 3 4 5
6
7 8
9 1
2 3 4
5 6 7
8 9
6
1
7
8 9
2 3 4
5
Tumor piece 2
Tumor piece 1
Normal colon
(%) = Percentage of sequences unique to the indicated population
Deep sequence TCRb CDR3
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Case #1: TIL from adjacent pieces of tumor
Tumor piece #1 (21%)
No
rmal
co
lon
(5
9%
)
No
rmal
co
lon
(6
7%
)
Tumor piece #2 (47%) Tumor piece #2 (24%) Tu
mo
r p
iece
#1
(2
5%
)
r=0.45 r=0.056 r=0.014 1 2 3 4 5
6
7 8
9 1
2 3 4
5 6 7
8 9
6
1
7
8 9
2 3 4
5
CD4+
CD8+
Tumor piece 1 Tumor piece 2
1 2 3 4 5 6 1 7 8 9
CD4 CD8 Tumor piece 2
Tumor piece 1
Normal colon
(%) = Percentage of sequences unique to the indicated population
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Case #2: TIL from 4 non-contiguous liver metastases
48 year old woman with stage IV colon cancer metastatic to liver with 4 non-contiguous lesions. Treated with 4 cycles of FOLFOX without bevacizumab prior to surgery. Collected 4 liver metastases, 2 normal liver samples, and a sample of peripheral blood for study of T cells in each compartment. [Ray Yeung, UW Surgery]
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No
rmal
live
r #1
(2
4%
)
No
rmal
live
r #1
(3
8%
) r2=0.72 r2=0.46
1 1
2 3 4
6 2 3 4
6 7 5
8 9
Liver metastasis#1 (41%)
Live
r m
eta
stas
is#2
(5
2%
)
PB
MC
(6
8%
)
Liver metastasis#1 (68%)
r2=0.81 r2=0.42 1 1
2
3
4
6 7 5
8 9
2
3 4
6 7 8
5 9
Normal liver #2 (23%) Liver metastasis#1 (69%)
(%) = Percentage of sequences unique to the indicated population
T cell phenotype CD4 CD8
# shared=596 # shared=328
# shared=305 # shared=1241
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Case #2: the αβ TCR repertoire of TIL is quite distinct from that in PBMC or adjacent liver
80%
60%
40%
20%
Other Liver PBMC Metastases
% total sequences from metastases shared with:
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Case #3: TIL from primary colon tumor and synchronously resected liver metastasis
78 year old man with stage IV colon cancer metastatic to liver. Treated with CapeOX with bevacizumab prior to surgery. Collected tissues from colon tumor and liver metastasis as well as uninvolved normal colon, normal liver, and blood, for study of T cells in each compartment. [Ray Yeung, UW Surgery]
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r=0.11 r=0.44
r=0.43 r=0.65
64%
57
%
20%
76 %
59
%
31%
24
%
52%
(%) = Percentage of sequences unique to each comparator population
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Case #3: TIL from colon tumor and synchronous hepatic metastasis demonstrate largest overlap
NC NL
NL CT
NC CT NC LT
NL LT LT
9193
131
337
6
745
48499
105
1031
32
6555
184
8553
120
977
17
4406
30
809
5
273
5
7313
211
719
6
363
4
5020
43
6150
181
1436
35
3947
35
CT
All sequences Sequences in top 50% of counts
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Summary (1)
• The majority of CRC TIL are ab TCR+, CD4+, CD45RO+
• The TCRβ CDR3 sequence repertoire of TIL from primary and metastatic CRC tumors: – shows limited diversity – Is quite distinct from that of adjacent normal tissue
• Some clones that are highly prevalent in TIL are not found in normal adjacent tissue or blood
• TCR repertoires of TIL from synchronously resected, noncontiguous colon tumors and hepatic metastases are closely related
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Digest
human
tumor Expand
T cells
Implant
tumor
cells
275 cGy
Serial
implants for
expansion
Isolate
T cell
subsets/
clones
Harvest
& digest
tumors
In vitro
studies
In vivo
studies
Expansion of CRC tumor and TIL for study of autologous anti-tumor responses
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CK
20
C
EA
HLA
-AB
C
EpC
AM
H
&E
Primary tumor 2o xenograft 3o xenograft 1o xenograft 7o xenograft
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Transcriptional analysis of tumors and xenografts
Paired in Mm but not Hs?
Mm Y
N
Hits mouse with ≤1
mismatch? Mm
Y
Fewer mismatches in Mm than
Hs?
N
Mm Y
N
Hs
50-nucleotide paired-end sequence reads on Illumina HiSeq 2000
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2726 Omental met
2726 Ovarian met
High reproducibility of RNA-seq data within a primary colon tumor and peritoneal metastases
D61540.T1
D61540.T2
r=0.985, 0.990 r=0.975, 0.997
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1o xenograft D61540.T2/ 2726 Ovarian met
Significant changes in the transcriptome characterize the transition from human to murine host
D61540.T2
Pri
mar
y
Ovarian Met
Pri
mar
y
r=0.86
2o xenograft
Secondary
Pri
mar
y
Secondary
Pri
mar
y
r=0.99
r=0.99
r=0.94
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Tumor
Xenograft
Human Mouse
Expression of epithelial and stromal genes
Tumor
Xenograft
EpC
AM
V
ime
nti
n
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Loss of human stroma and vasculature in xenograft
E-cadherin Vimentin Fibronectin CD31 (PECAM)
D61540 human tumor
M202 Xenograft
(1°)
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2° 3°
The transcriptional profile of successive CRC xenografts is reasonably stable
tertiary Male tertiary
seco
nd
ary
Fem
ale
tert
iary
r=0.97 r=0.99
4° 7°
quaternary septenary
seco
nd
ary
seco
nd
ary
r=0.97 r=0.95
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Unsupervised cluster analysis confirms expected relationships amongst transcriptional profiles
1o x
en
ogra
ft
Tu
mo
r p
iece
1
Om
en
tal m
et
Ova
ria
n m
et
3o x
en
ogra
ft ♂
4o x
en
ogra
ft
3o x
en
ogra
ft ♀
2o x
en
ogra
ft
7o x
en
ogra
ft
D55949
1o x
en
ogra
ft
2o x
en
ogra
ft
2o x
en
ogra
ft
Tu
mo
r p
iece
2
2726 D61540
4o x
en
ogra
ft
2o x
en
ogra
ft
3o x
en
ogra
ft ♂
7o x
en
ogra
ft
1o x
en
ogra
ft
2o x
enogra
ft
3o x
en
ogra
ft ♀
1o x
en
ogra
ft
2o x
en
ogra
ft
Murine stroma
Human genes Murine genes
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Retention of human stroma in CRC xenografts
E-cadherin Vimentin Fibronectin HLA-ABC
P2750 human tumor
M149 xenograft
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Generation of stroma-dominant tumor from malignant ascites fluid
2726 Omental met
2726 Ovarian met
2726 Ascites fluid
10 xenograft
E-cadherin Vimentin Fibronectin HLA-ABC
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Identification of genes preferentially expressed in parental tumors or in xenografts
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Expression of lymphoid genes in colon cancer
BodyMap
2726
D55949
D61540
0 50 100 150 200
2nd xenograft
1st xenograft
Tumor piece 2
Tumor piece 1
2nd xenograft
1st xenograft
Omental met
Ovary met
7th xenograft
4th xenograft
3rd xenograft
3rd xenograft
2nd xenograft
Colon
Lymph node LCK
CD3E
0 200 400 600
SYK
CD20
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D61540 tumor cells express multiple T-cell associated genes
Hu
man
tu
mo
r
PD1
1o X
en
ograft
0
20
40
60
80
100
120
140
CD45 CD3E CTLA4 ZAP70 PD1 LAT
Re
lati
ve
ex
pre
ss
ion
le
ve
l
Colon
Lymph node
Tumor piece 1
Tumor piece 2
1st xenograft
2nd xenograft
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Summary (2)
• Xenografts faithfully retain the histological characteristics of the human tumors from which they are derived
• Human stroma and vasculature are rapidly replaced by murine analogues in almost all CRC xenografts
• The transition from human tumor to mouse xenograft is marked by broad, reproducible transcriptional changes that reflect the replacement of human by murine stroma
• After initial establishment of a xenograft, the transcriptome remains largely stable with serial transplantation
• CRC cells express genes numerous lymphoid-specific genes
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Digest
tumor Expand
T cells
Implant
tumor
cells
275 cGy
Serial
implants for
expansion
Isolate
T cell
subsets/
clones
Harvest
& digest
tumors
In vitro
studies
In vivo
studies
Expansion of CRC TIL and tumor for study of autologous anti-tumor responses
IFN- ELISpot
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Patient dermal
fibroblasts
EpCAM+ xenograft (tumor)
cells
EpCAM− xenograft
cells
Murine liver cells
Murine spleen cells
++
−
− +
+
+
++ +++ +
+
CD4
CD8
(1) TIL (2) PBMC (3) Ascites (4) NAT
Exp
and
ex
vivo
Pu
rify
EpCAM+ primary tumor cells
EpCAM− primary tumor cells
±
± ++
++
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Summary (3)
• TIL from primary (2) or metastatic (4) tumors contain T lymphocyted that are selectively reactive with autologous tumor cells but not fibroblasts
• Studies underway:
– Identification of the antigens recognized by CD8+ autologous tumor-reactive T cells Is underway
– Phenotypic characterization of CD4+ autologous tumor-reactive T cells
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• Cancer-testis genes
• Consensus immunotherapy targets
• Mesothelin
• Human endogenous retrovirus products
• Cancer-specific protein products
Mining RNA-seq data for [immuno]therapy targets
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Expression of potential immunotherapy targets in parental tumors and xenografts
Cancer-testis genes CITN priority immunotherapy targets
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Protein products of human endogenous retroviruses (HERVs) as therapeutic targets
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Primer on HERV genomics
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HERVs & repeats expressed in cancer
HERV
?
HERV and repeat sequences over-expressed in ovarian cancer SOURCE: McIntosh, Tewari
(POCRC Ovarian SPORE; Project 2)
RT-PCR for HERV-K env in colon cancers and xenografts
IHC for HERV-K env protein in 1° breast cancers
Jeff
Ch
ou
Fe
ng
Wan
g-Jo
han
nin
g
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Cancer-selective proteins from alternative splicing
EST Libraries from Somatic Tissues
Somatic Tissue RNA-seq
Cancer RNA-seq
Observed splice junctions
Source: McIntosh (NCI HHSN261200800001E, DOD W81XWH-12-1-0349), work by N. Clegg and M. Fitzgibbon.
NCI 1 U01 CA176270-01 Cancer Target Discovery and Development Network “Profiling cancer neoantigen repertoires and validating immunotherapy targets” Pis: McIntosh, Warren
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Summary (FINAL)
• Abundant evidence suggests that the immune system influences the natural history of CRC
• Propagation of CRC in immune-deficient mice is enabling dissection of tumor immunobiology
• Analysis of CRC genetic & genomic data identifies potential targets, but none to date that are widely expressed in tumors from many patients
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Acknowledgements
Warren Lab: Jeff Chou Christie Mortales Andrea Towlerton Sheila Ojeaburu
Program in Computational Biology: Matt Fitzgibbon Martin McIntosh Ray Yeung (UW Surg) Melissa Upton (UW Path)
NIDDK CCEH, Xenograft Core: Cyd Nourigat Melissa Comstock LaKeisha Perkins
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Acknowledgements - Funding
J. Orin Edson Fund for Immunotherapy
NIDDK Core Center of Excellence, Xenograft Core P30 DK056465 (B. Torok-Storb)
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Thanks for your attention!
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d T cells in CRC immune responses
d
Peripheral blood
GI tract
V2/Vd1 TCR
V9/Vd2 TCR
Microbial and endogenous phosphoantigens: e.g.,
M. tuberculosis, P. falciparum, HMB-PP, IPP
Stress-induced NKG2D ligands such as MICA, MICB (Groh, Spies; Strong)
CD3+
CD45RO+ CD45RO+
cells in CRC
?