Dissecting the immune response to colorectal cancer. Edus H. Warren, MD, PhD Fred Hutchinson Cancer Research Center April 25, 2013

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Transcription:

Dissecting the immune response to colorectal cancer Edus H. Warren, MD, PhD Fred Hutchinson Cancer Research Center April 25, 2013

Increasing evidence suggests that the immune system influences the natural history of solid tumors Fridman et al., Nat Rev Can 12:298-306 (2012)

Colon cancer incidence - global

Colon cancer staging

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/

Immune response to colorectal cancer? Survival by TNM stage Survival stratified by density of infiltrating CD3 + CD45RO + cells Density of tumor infiltrating T lymphocytes (TIL), in particular CD45RO + memory T cells, correlates with lower rate of events associated with metastasis & improved prognosis Pagès et al., NEJM 2005; 353:2654-2566 Galon et al., Science 2006; 313:1960-

T cell subsets in CRC TIL also correlate with prognosis Th1 Hi Th1 Lo CD45RO, CD3, CD8, Th1, FOXP3 + Th17 Salama P, JCO 2009; Tosolini M, Cancer Res, 2011;

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

[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

Cell line-derived xenografts bear little resemblance to primary human CRC SW480 colorectal carcinoma cell line H+E Ki-67 CEA EpCAM HLA-ABC

NOD/Scid/IL2R mice are excellent hosts for human CRC Human colon cancer cells NOD/SCID. 2 3 4 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 Todaro et al., Cell Stem Cell 2007; 1:389-402 Dangles-Marie et al., Cancer Res 2007; 67:398-407 NIDDK Core Center of Excellence, Xenograft Core P30 DK056465 (B. Torok-Storb)

Dissecting the autologous adaptive immune response to colorectal cancer Establish xenograft NOD/Scid/IL2-R Histology and IHC Immunophenotyping Transcriptional profiling Methylation analysis Establish new xenografts! Expand TIL: REP acd3/acd28 beads KT64/BBL cells Tumor cells Lymphocytes (TIL) 10-50-fold amplification per generation >1000-fold amplification Immunophenotyping TCR repertoire analysis Functional analysis Transcriptional profiling

Expansion of CRC tumor and TIL for study of autologous anti-tumor responses 275 cgy Implant tumor cells Digest tumor Flow cytometry, TCRb repertoire analysis Expand T cells Serial implants for expansion In vitro studies Isolate T cell subsets/ clones Harvest & digest tumors In vivo studies CD8 + CD4 +

CD8 CD45RO CD8 Most ab T cells in CRC TIL are CD4 + CD45RO + D61540 Normal Adjacent Colon CD4 CD8 Expanded CD45RO + D61540 T1 D61540 T2 CD4 CD45RA CD4

Normal colon (59%) Normal colon (67%) Tumor piece #1 (25%) Case #1: TIL from adjacent pieces of tumor Normal colon Tumor piece 1 Tumor piece 2 Deep sequence TCRb CDR3 r=0.014 r=0.056 r=0.45 1 2 3 4 5 7 6 2 3 4 5 1 2 3 1 4 7 5 6 9 8 6 7 8 9 9 8 Tumor piece #1 (21%) Tumor piece #2 (47%) Tumor piece #2 (24%) (%) = Percentage of sequences unique to the indicated population

Normal colon (59%) Normal colon (67%) Tumor piece #1 (25%) Case #1: TIL from adjacent pieces of tumor Tumor piece 2 Normal colon Tumor piece 1 CD4 + CD8 + Tumor piece 1 Tumor piece 2 1 2 3 4 5 6 1 7 8 9 CD4 CD8 r=0.014 r=0.056 r=0.45 1 2 3 4 5 7 6 2 3 4 5 1 2 3 1 4 7 5 6 9 8 6 7 8 9 9 8 Tumor piece #1 (21%) Tumor piece #2 (47%) Tumor piece #2 (24%) (%) = Percentage of sequences unique to the indicated population

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]

PBMC (68%) Liver metastasis#2 (52%) Normal liver #1 (24%) Normal liver #1 (38%) r 2 =0.72 # shared=596 r 2 =0.46 # shared=328 1 1 7 2 6 56 2 4 3 43 98 T cell phenotype CD4 CD8 Normal liver #2 (23%) Liver metastasis#1 (69%) r 2 =0.42 # shared=305 r 2 =0.81 # shared=1241 1 1 3 57 8 3 74 6 56 9 2 4 2 98 Liver metastasis#1 (68%) Liver metastasis#1 (41%) (%) = Percentage of sequences unique to the indicated population

Case #2: the αβ TCR repertoire of TIL is quite distinct from that in PBMC or adjacent liver 80% % total sequences from metastases shared with: 60% 40% 20% Other Liver PBMC Metastases

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]

76 % 24% 57% 59% r=0.11 r=0.44 64% 31% r=0.43 r=0.65 20% (%) = Percentage of sequences unique to each comparator population 52%

Case #3: TIL from colon tumor and synchronous hepatic metastasis demonstrate largest overlap NC NL NC CT NC LT 9193 131 337 6 745 4 8499 105 1031 32 6555 184 8553 120 977 17 4406 30 NL CT NL LT CT LT 809 5 273 5 7313 211 719 6 363 4 5020 43 6150 181 1436 35 3947 35 All sequences Sequences in top 50% of counts

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

Expansion of CRC tumor and TIL for study of autologous anti-tumor responses 275 cgy Implant tumor cells Digest human tumor Expand T cells Serial implants for expansion In vitro studies Isolate T cell subsets/ clones Harvest & digest tumors In vivo studies

CK20 CEA HLA-ABC EpCAM H&E Primary tumor 1 o xenograft 2 o xenograft 3 o xenograft 7 o xenograft

Transcriptional analysis of tumors and xenografts 50-nucleotide paired-end sequence reads on Illumina HiSeq 2000 Paired in Mm but not Hs? Y Mm N Hits mouse with 1 mismatch? Fewer mismatches in Mm than Hs? Hs N N Y Y Mm Mm

High reproducibility of RNA-seq data within a primary colon tumor and peritoneal metastases D61540.T1 D61540.T2 2726 Ovarian met 2726 Omental met r=0.985, 0.990 r=0.975, 0.997

Significant changes in the transcriptome characterize the transition from human to murine host Primary Primary Primary Primary D61540.T2/ 2726 Ovarian met 1 o xenograft 2 o xenograft r=0.86 r=0.99 r=0.94 D61540.T2 Secondary r=0.99 Ovarian Met Secondary

Vimentin EpCAM Expression of epithelial and stromal genes Human Mouse Tumor Xenograft Tumor Xenograft

Loss of human stroma and vasculature in xenograft E-cadherin Vimentin Fibronectin CD31 (PECAM) D61540 human tumor M202 Xenograft (1 )

The transcriptional profile of successive CRC xenografts is reasonably stable secondary Female secondary tertiary 2 3 4 7 r=0.97 r=0.99 r=0.95 quaternary tertiary Male septenary tertiary

Unsupervised cluster analysis confirms expected relationships amongst transcriptional profiles Omental met Ovarian met 1 o xenograft 2 o xenograft 2 o xenograft 7 o xenograft 4 o xenograft 3 o xenograft 3 o xenograft 1 o xenograft 2 o xenograft Tumor piece 1 Tumor piece 2 Human genes Murine genes 2 o xenograft 3 o xenograft 7 o xenograft 1 o xenograft 2 o xenograft 3 o xenograft 1 o xenograft 2 o xenograft 4 o xenograft 2726 D55949 D61540 Murine stroma

Retention of human stroma in CRC xenografts HLA-ABC E-cadherin Vimentin Fibronectin P2750 human tumor M149 xenograft

Generation of stroma-dominant tumor from malignant ascites fluid 2726 Ovarian met 2726 Omental met 2726 Ascites fluid 1 0 xenograft HLA-ABC E-cadherin Vimentin Fibronectin

Identification of genes preferentially expressed in parental tumors or in xenografts

Expression of lymphoid genes in colon cancer BodyMap D55949 2726 D61540 Lymph node Colon 2nd xenograft 3rd xenograft 3rd xenograft 4th xenograft 7th xenograft Ovary met Omental met 1st xenograft 2nd xenograft Tumor piece 1 Tumor piece 2 1st xenograft 2nd xenograft LCK CD3E SYK CD20 0 50 100 150 200 0 200 400 600

Human tumor Relative expression level D61540 tumor cells express multiple T-cell associated genes 140 120 Colon 100 Lymph node 80 Tumor piece 1 60 Tumor piece 2 40 1st xenograft 20 2nd xenograft 0 CD45 CD3E CTLA4 ZAP70 PD1 LAT PD1 1 o Xenograft

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

Expansion of CRC TIL and tumor for study of autologous anti-tumor responses 275 cgy Implant tumor cells Digest tumor Expand T cells Serial implants for expansion In vitro studies IFN- ELISpot Isolate T cell subsets/ clones Harvest & digest tumors In vivo studies

Expand ex vivo Purify (1) TIL (2) PBMC (3) Ascites (4) NAT CD4 CD8 Patient dermal fibroblasts EpCAM+ xenograft (tumor) cells + EpCAM xenograft cells ++ Murine liver cells ++ +++ + + Murine spleen cells + + EpCAM+ primary tumor cells ± EpCAM primary tumor cells ± ++ ++

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

Mining RNA-seq data for [immuno]therapy targets Cancer-testis genes Consensus immunotherapy targets Mesothelin Human endogenous retrovirus products Cancer-specific protein products

Expression of potential immunotherapy targets in parental tumors and xenografts Cancer-testis genes CITN priority immunotherapy targets

Protein products of human endogenous retroviruses (HERVs) as therapeutic targets

Primer on HERV genomics

Feng Wang-Johanning Jeff Chou HERVs & repeats expressed in cancer HERV? RT-PCR for HERV-K env in colon cancers and xenografts HERV and repeat sequences overexpressed in ovarian cancer SOURCE: McIntosh, Tewari (POCRC Ovarian SPORE; Project 2) IHC for HERV-K env protein in 1 breast cancers

Cancer-selective proteins from alternative splicing Observed splice junctions Somatic Tissue RNA-seq EST Libraries from Somatic Tissues Cancer RNA-seq NCI 1 U01 CA176270-01 Cancer Target Discovery and Development Network Profiling cancer neoantigen repertoires and validating immunotherapy targets Pis: McIntosh, Warren Source: McIntosh (NCI HHSN261200800001E, DOD W81XWH-12-1-0349), work by N. Clegg and M. Fitzgibbon.

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

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

Acknowledgements - Funding J. Orin Edson Fund for Immunotherapy NIDDK Core Center of Excellence, Xenograft Core P30 DK056465 (B. Torok-Storb)

Thanks for your attention!

d T cells in CRC immune responses Peripheral blood d V 9/Vd2 TCR Microbial and endogenous phosphoantigens: e.g., M. tuberculosis, P. falciparum, HMB-PP, IPP? GI tract V 2/Vd1 TCR CD3 + CD45RO + CD45RO + Stress-induced NKG2D ligands such as MICA, MICB (Groh, Spies; Strong) cells in CRC