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. Author manuscript; available in PMC: 2010 Oct 27.
Published in final edited form as: Cell Mol Immunol. 2004 Oct;1(5):357–366.

Global Gene Expression Profiling in Interleukin-12-Induced Activation of CD8+ Cytotoxic T Lymphocytes against Mouse Mammary Carcinoma

Shanjin Cao 1, Zhaoying Xiang 1, Xiaojing Ma 1,2
PMCID: PMC2965067  NIHMSID: NIHMS243317  PMID: 16285895

Abstract

Interleukin-12 (IL-12) is a critical cytokine representing the link between the cellular and humoral branches of host immune defense apparatus. IL-12-induced cytotoxic lymphocyte (CTL) development is a central mechanism in immune responses against intracellular infectious agents as well as malignant growth. However, the molecular basis of tumor-specific CTL responses mediated by IL-12 remains poorly defined. In this study, we addressed this issue in a comprehensive manner to probe into IL-12-induced anti-tumor responses by global gene expression profiling of mRNA expression in CD8+T cells in a transplantable syngeneic mouse mammary carcinoma model treated or not with recombinant IL-12. A strong tumor regression was induced by the IL-12 treatment. An introspection of differential gene expression at an early stage of the IL-12-initiated CTL activation reveals interesting genes and molecular pathways that may account for the marked tumor regression, and is likely to provide a rich source of potential targets for further research and development of effective therapeutic modalities.

Keywords: interleukin-12, cytotoxic T lymphocyte, TS/A, mammary carcinoma, microarray

Introduction

The emergence of the concept of cancer immunosurveillance conceived by Paul Ehrlich at the beginning of 20th century and formalized by Burnet and Thomas in 1957, the severe challenges it faced in the 1970s and 80s (15), and its renaissance in the last decade brought about by a large body of mouse (611) and human (1217) studies in immunodeficient settings have helped solidify the belief that components of the immune system, such as lymphocytes (T, NK, NKT) and cytokines (IFN-γ, perforin, IL-12) are critically involved in controlling primary tumor development. The refinement of this concept and its extension to “immunoediting” has been put forward by R.D. Schreiber and colleagues to describe the dual host-protecting and tumor-sculpting actions of the immune system that not only impede but also mark neoplastic alterations for immune elimination (18, 19).

Tumors often possess a number of potential recognition sites for immunologic effector cells, which, in theory, could make them susceptible to immune surveillance. Nevertheless, most of such tumors grow progressively in their natural hosts or syngeneic recipients, without being controlled effectively by the immune system. The lack of apparent immunogenicity of tumors in situ might be due to special properties of the tumor cells, e.g., lack of costimulatory molecules, down-regulation of MHC molecules, or production of immunosuppressive factors (20, 21), or due to intrinsic tolerance mechanisms of the immune system (22).

The immune response against cancer cell is complex, involving the interaction of many different cell types and cellular products. However, it is well established cytotoxic T lymphocytes (CTLs) constitute one of the most important anti-tumor immunity (23, 24). CTLs recognize, via their clonal T cell receptors, specific antigenic peptides that are derived from tumors, especially solid ones including carcinomas and sarcomas (25, 26), and presented to them by antigen-presenting cells such as dendritic cells (DCs). These CTLs survey the body and lyse malignant cells expressing the relevant surface antigens. This mechanism of recognition and killing is analogous in many ways to viral infections of peripheral tissues for which CTL is the main effector of adaptive immunity controlling the spread of the infection (27).

In recent years, immunotherapies have been rekindled that attempt to either mark the tumor by upregulating the surface antigens for enhanced interaction with immune effector cells (21, 28), or by directly activating DC, T and NK cells for their heightened “scouting” capacity and increased cytolytic potency. IL-12 is a factor belonging to the latter class (29). IL-12 is a pivotal cytokine representing the link between the cellular and humoral branches of host immune defense apparatus. IL-12 is a heterodimer produced primarily by macrophages and DCs in both innate and adaptive immune responses. It is a key factor in the induction of T cell-dependent and independent activation of macrophages, NK cells, generation of T helper type 1 (Th1) cells and CTLs, induction of opsonizing and complement-fixing antibodies, and resistance to intracellular infections (30). IL-12 has powerful anti-tumor and anti-metastatic activities against many murine tumors as well as human tumors (31). The potent anti-tumor activities of IL-12 are mediated through similar mechanisms that are used by IL-12 against infectious agents, i.e., via the activation of NK cells for the bulk of the non-antigen specific clearance, and activation of CTL and CD4 for tumor-specific elimination and long-term immunity. Numerous recent studies across a wide range of experimental tumor model systems as well as in human cancers have unequivocally confirmed the efficacy of IL-12 as a potent inducer of CTL-mediated anti-tumor immunity (3247), thus strongly justifying further exploration of IL-12 and CTL in cancer immunotherapy. Furthermore, in a recent study, Lee et al. reported for the first time that IL-12 could inhibit activation-induced CD8+T cell death by downregulating Fas ligand and up-regulating cellular FLIPs, followed by suppressing activation of caspases 8 and 3, thus providing a survival signal for sustained CTL responses (48).

TS/A is an aggressive and poorly immunogenic cell line established from a moderately differentiated mammary adenocarcinoma that arose spontaneously in a multiparous BALB/c mouse (49). It grows progressively, kills both nu/nu and syngeneic mice, and gives rise to lung metastases. It expresses MHC class I (H-2Dd, H-2Kd), but not class II molecules, secretes G-CSF, GM-CSF, TGF-β, basic fibroblast growth factor (FGF) and vascular endothelial growth factor (VEGF), and does not stimulate a syngeneic antitumor response in vivo, nor in mixed lymphocyte-tumor cell cultures (50). IL-12 administered to TS/A tumor-bearing mice via various routes at different stages of tumor establishment has been shown to cause the rejection of the tumor in wild type BALB/c mice through a CD8+T-lymphocyte-dependent reaction associated with macrophage infiltration, vessel damage, and necrosis. Protective immune memory is also established following IL-12 treatment (51).

Genome-wide gene expression profiling allows the viewing, with molecular accuracy, of biological processes as a whole. The mRNA expression of tens of thousand of genes in response to a given signal can be monitored simultaneously using massively parallel DNA microarray technology. The vast amount of data generated can be organized, refined and extrapolated with the aid of bioinformatics tools to reveal a comprehensive, highly concerted, and logical molecular program underlying the process of cellular differentiation and activation (52, 53). Coordinate gene expression takes place among products of the genes that function in a common differentiation program or in the same physiological response pathway. Recent applications of this powerful technology to the analysis of the immune system have uncovered many potential novel pathways and key players in normal as well as pathological immune responses, which are likely to have a great impact on our understanding of autoimmunity, immune deficiencies, and cancers of immune cells (5458).

The aim of this study was to obtain a high resolution, dynamic signature of a tumor-specific CTL response at every step during its development after activation in lymphoid tissues. The approach was to use microarray to monitor gene expression in the CD8+T cell compartment in the spleen of mice given TS/A tumor cells and recombinant IL-12 over a period of four weeks spanning primary activation, effector phase and memory formation. The choice of TS/A for this study was based on three considerations: (i) these tumor cells expresses MHC class I; (ii) immunotherapy with GM-CSF and IL-2 has demonstrated a strong tumor-specific CTL response and protective immunity (59); (iii) IL-12 administration is effective against these tumors by a CD8+T- or NK-dependent mechanism. Therefore, the TS/A model is highly relevant to studying tumor-specific CTL responses regulated by IL-12. We performed Affymetrix microarrays using RNA samples isolated from purified splenic CD8+T cells of TS/A tumor-bearing mice.

Materials and Methods

Mice

Female BALB/c mice (6–8 week old) were purchased from the Jackson Laboratory (Bar Harbor, Maine). All mice were housed at the Weill Medical College of Cornell University Animal Facilities in accordance with the Principles of Animal Care (NIH publication no. 85-23, revised 1985). Mice bearing TS/A tumors were all sacrificed no later than Day 35 due to the morbidity caused by large tumor size and strong metastasis.

Tumor implantation, size measurement

TS/A mammary carcinoma cells (1 × 105) were injected subcutaneously into the abdominal mammary gland area of recipient mice in 0.1 ml of a single-cell suspension in phosphate buffered saline (PBS) on Day 0. The dose of tumor implantation was empirically determined to give rise to tumors of ~10 mm in diameter in untreated wild type mice in 28 days. Primary tumors were measured using electronic calipers every 3–4 days. Reported measurements are the square root of the product of two perpendicular diameters.

IL-12 treatment

Recombinant murine IL-12 was provided by Genetics Institute (Cambridge, Massachusetts). IL-12 treatment was given by intraperitoneal injection at 1 μg per mouse every other day starting on Day 7 until the end of each experiment unless other wise described. This regimen of IL-12 was well tolerated with no signs of toxicity.

Purification of splenic CD8+T lymphocytes

BALB/c mice spleen cells were prepared by using 40 μm cell strainer (BD Falcon, Bedford, MA), and the red blood cells were lysed with ACK buffer (60), and then washed with RPMI 1640 media with 10% FBS three times. The cells were resuspended at a concentration of 2 × 107/ml in cold PRMI 1640/10% FBS media, and then Dynabeads (CELLection mouse CD8 kit, DYNAL, Lake Success, NY), were added (25 μl containing 107 beads/2 × 107 spleen cells) using the magnetic particle concentrator (Dynal MPC) to positively select the mouse spleen CD8+T cells. Following capturing of the bead-linked CDS8+T cells, the bead-releasing step was omitted before RNA isolation.

Microarray experiment

The high-density oligonucleotide microarray system of Affymetrix (Santa Clara, California), murine Genome U74A Array version 2 containing 12,488 genes, was used. Total RNA was isolated from freshly isolated spleens of all surviving mice on Day 7 (before IL-12 treatment), and Day 14 (one week following the initial IL-12 injection). RNA samples of each mouse within each experiment group were pooled from 3–4 mice. 10 μg total RNA was used to synthesize cDNA using Superscript cDNA synthesis kit (Invitrogen, Carlsbad, California) with a primer containing oligo (dT) and T7 RNA polymerase promoter sequences. Double-stranded cDNA was then purified by phase lock gel (Eppendorf, Westbury, NY) with phenol/chloroform extraction. The purified cDNA was used as a template to generate biotinylated cRNA using the Bioarray High Yield RNA Transcript Labeling Kit (Enzo Biochem), and then biotinylated cRNAs were fragmented and hybridized to Affymetrix Test 3 chips (Affymetrix Inc., Santa Clara, CA). All RNA samples passed quality control (ratio of 3′ to 5′ < 3), then the samples were hybridized to the Murine Genome Array U74Av2 array which contains 12,488 well-substantiated mouse genes. After overnight hybridization, the arrays were washed, stained with streptavidin-phycoerythrin (Molecular Probes, Eugene, OR) on the GeneChip Fluidics Station (Affymetrix), and scanned according to the standard Affymetrix protocol.

Microarray Data collection and analysis

Affymetrix GeneChip 5.0 was used as the image acquisition software for the U74Av2 chips. The signal, which represents the intensity of each gene, was extracted from the image. The target intensity value from each chip was scaled to 250. Data normalization, log transformation, and statistical analysis were performed with GeneSpring software (Silicon Genetics, Redwood City, CA). Array data were globally normalized in two steps. Firstly, all of the measurements on each chip were divided by the 50th percentile value (per-chip normalization). Secondly, each gene was normalized to the baseline value of the control samples (per-gene normalization).

Statistical tests

Tumor growth data to be compared were first subjected to normality test. Where the samples studied were normally distributed, statistical comparisons were performed using the Students’ t test. Where the samples deviated from normality, a nonparametric, Mann Whitney Rank-Sum test was used for comparisons. Statistical analyses were performed using SigmaStat software. For all experiments, the mean and the SD are depicted.

Results and Discussion

IL-12 induces anti-tumor activities in vivo

To assess the effects of IL-12 in tumor regression, TS/A mammary carcinoma was initiated by s.c. injection of TS/A cells into mice on the syngeneic BALB/c background. Recombinant mouse IL-12 (rmIL-12) was given i.p. starting on Day 7 post tumor injection to mice when the primary tumor had grown to ~ 4–5 mm in diameter. The timing of IL-12 administration was based on potential therapeutic considerations to mimic clinical situations in which breast cancer patients do not get therapy until the presence of malignant growth in the breast has been identified by mammogram or other means. As shown in Figure 1, by Day 35 (four weeks following the initial IL-12 injection), there was a strong regression in the TS/A tumor growth in mice given IL-12 treatment. The results are consistent with published data (51) showing great efficacy of IL-12 as a therapeutic agent in this model.

Figure 1.

Figure 1

TS/A tumor growth in syngeneic mice. TS/A cells were injected subcutaneously in the middle of the right flank of BALB/c mice with 0.1 ml of a single-cell suspension containing the indicated number of TS/A cells. Tumor growth was monitored every 3–4 days and size measured with a caliper. Each data point is comprised of 4–11 mice. Error bars represent standard deviation. *p < 0.05; p < 0.01; Inline graphicp < 0.0001.

Genome-wide analysis of gene expression in splenic CD8+ lymphocytes

Our main interest in this study was to investigate the molecular mechanism(s) by which IL-12 activates CTL against the developing TS/A tumor. The strategy we chose to achieve this objective was to use DNA microarray to comprehensively survey the gene expression in the CD8+T cell populations in the spleen of mice treated or not with IL-12 over the entire phase of tumor growth or regression, with the hope to identify molecular targets that may play critical roles in mediating IL-12’s anti-tumor activity by activating CTL. As a first step towards obtaining a detailed description of the molecular events taking place in the CD8+ T cells in mice treated or not with rmIL-12, we performed global gene expression analysis of the two groups of tumors on Day 14 (7 days following the initial IL-12 injection) using the Affymetrix oligonucleotide microarray system (Murine Genome U74A Array version 2 containing 12,488 genes). To reduce variations between individual mice, RNA samples were pooled from all mice within each group for the microarray analysis. We applied this technology to the search of genes that undergo altered expression in CD8+ splenic T cells in vivo following IL-12 therapy in an attempt to identify the downstream targets of IL-12 in this particular lymphocyte compartment. RNA samples were prepared from the two experimental groups shown in Figure 1 for comparison of differential gene expression. This microarray experiment (4–11 mice from each group) yielded a large amount of data, which was processed through the GeneSpring software for (i) data normalization (bias correction), (ii) data transformation (to ensure normal distribution), and (iii) gene filtering to identify specific genes that are expressed differentially by using appropriate statistic tools. The group of PBS-treated wild type mice was set as the baseline (with an expression value of 1.0) to which the IL-12-treated group was compared. Most of the genes show no altered expression. The vast majority of the genes were either present equally or absent in both samples. A small number of genes manifested changes in expression to varying degrees. These are summarized in Table 1a and 1b as IL-12-induced genes and IL-12-inhibited genes, respectively.

Table 1.

Genes differentially regulated by IL-12. Genes are selected based on the following criteria: (1) They must be expressed more than 2 times than the respective control sample (PBS-treated) to qualify as IL-12-induced genes (Table 1a), or 2 times less than the control to qualify as IL-12-inhibited genes (Table 1b); (2) Their expression detection must be statistically valid as present with detection p < 0.05; Genbank accession numbers are given in the second column. The numbers in column 3 are relative fold of expression over the control (PBS-treated group).

Table 1a. Genes induced by IL-12 (117 genes).
Gene and description Genbank accession Fold induction Gene and description Genbank accession Fold induction
Aldehyde dehydrogenase (ALDH2) U07235 2.01 Ig rearranged k-chain mRNA, clone AN08K. M19911 4.35
Aldehyde dehydrogenase 2, mitochondrial AI647493 2.24 Ig variable light chain. X88903 2.05
Alpha fetoprotein AV037200 3.03 Ig Vkappa-HNK20 X82688 3.43
AMY, Noe1, OlfA, Pancortin, Pancortin3 D78265 4.86 IgA J00475 18.97
Annexin A2 M14044 2.2 IgA J00475 3
Annexin A3 AJ001633 2.34 IgA V-D-J-heavy chain X94418 4.2
Anti-DNA light chain IgM, antibody 363p.168 U55576 3.1 IgG variable region. Z22111 2.53
Antigen identified by monoclonal antibody Ki 67 X82786 2.23 Igh AF042086 2.65
Atf3, leucine zipper transcription factor LRG-21 U19118 3.79 Igh-6 X94422 2.93
Balb/c neutrophil elastase gene, exons 4 and 5 U04962 3.1 Igk-V28 U62386 3.63
Bmk, Hck-1 J03023 2.82 IL-1receptor antagonist L32838 3.13
Carbonic anhydrase I (CAI) M32452 23.21 Immediate early response 3 X67644 2.62
Carboxypeptidase A3, mast cell AV172041 10.9 Immunoglobulin heavy chain variable gene X16740 5.85
CB17 SCID immunoglobulin heavy chain V region U23095 2.43 Immunoglobulin kappa chain variable 28 (V28) Z70661 3.68
CD24a antigen M58661 2.81 Immunoglobulin kappa chain variable 28 (V28) U48716 3.49
CDR3 region; Ig heavy chain gene AF042798 3.77 Immunoglobulin superfamily, member 4 AF061260 2.78
Cell division cycle 25 homolog C (S. cerevisiae) L16926 3.56 Immunoglobulin superfamily, member 4 AF061260 2.03
c-Fes X12616 2.14 Interferon inducible protein 10 (IP-10) M33266 5.18
Chemokine (C-C) receptor 1 U29678 2.36 Interferon-inducible GTPase AA914345 5.26
Chemokine (C-C) receptor 5 AV370035 2.22 Interferon-inducible GTPase AJ007971 4.28
Chitinase 3-like 3 M94584 2.17 Interleukin 1 beta M15131 2.21
Complement component 4 (within H-2S) X06454 5.44 Interleukin 6 (IL-6) X54542 20.27
Cpa3, carboxypeptidase A J05118 7.37 Killer cell lectin-like receptor, Ly49b U10304 2.77
Ctla2b X15592 4.45 Kinesin-like 1 AJ223293 2.88
Ctsg, serine proteinase X70057 14.48 Lipo 1, lipocortin I M69260 3.3
C-type lectin, superfamily member 6 AJ133533 2.55 Lipoprotein lipase AA726364 5.86
Cx26, connexin M81445 2.77 Ly-6G.1 X70920 7.16
Emr1, F4/80 X93328 11.56 Mitotic checkpoint protein kinase (Bub1) AF002823 2.26
Entpd1, ecto-apyrase CD39 AF037366 2.91 Myeloperoxidase X15313 9.08
Epcr, endothelial cell activated protein C L39017 2.58 N-acylsphingosine amidohydrolase 1 AW124297 2.14
Epstein-Barr virus induced gene 3 AF013114 2.14 Nfe2, basic leucine zipper transcription factor L09600 2.65
EST AI317217 12.66 NKG2-D (Nkg2d) AF054819 3.31
EST X67210 6.95 NP-1, neuropilin D50086 2.87
EST X67210 5.7 paraoxonase-3 (Pon3) L76193 2.32
EST AL078630 5.51 PLA2, Calcium-dependent phospholipids binding protein M72394 2.79
EST AW259499 3.3 Plasma glutamate carboxypeptidase AF009513 3.84
EST AI854793 3.16 precursor of C and V-D-J regions from 7B6.8 D14625 3.44
EST AI842940 2.98 Primary response gene B94 L24118 9.04
EST AW215456 2.65 Proteinase 3, myeloblastin U43525 6.34
EST AI841689 2.42 Ptpn13, protein tyrosine phosphatase D83966 17.04
EST AW123773 2.29 PYT, MPS1L1, putative esk kinase M86377 4.04
EST AA590345 2.17 Ra175c AB021966 2.2
EST, similar to 202 interferon-activatable protein AV229143 4.11 Rab6, kinesin-like Y09632 2.3
EST, similar to gb:M33308 vinculin (human) AI462105 2.43 rhom-2 M64360 2.88
EST, similar to gb:X52634 tlm oncogene AI504305 4.16 S100 calcium binding protein A1 AF087687 2.84
Fc receptor, IgE, high affinity I J05018 4.24 Secreted phosphoprotein 1 X13986 5.6
Fcgr1 M31314 3.89 Sid23 AB025406 2.08
Formyl peptide receptor, related sequence 2 AF071180 6.03 Small inducible cytokine A3 J04491 3.61
germline immunoglobulin V(H)II gene H18 X02468 2.27 Spi-1, PU.1 L03215 2.27
Hex (Prh) AB017132 2.07 spi2/eb1 M64085 3.38
Histidine decarboxylase cluster X57437 2.79 ST2L D13695 6.63
ICE, Il1bc, Caspase-1 L28095 2.4 Stx3, syntaxin 3A D29797 3.42
Ier5, immediate early response 5 gene AF079528 3.94 Stx3, syntaxin 3D-2 D38375 15.65
Ifi202, Ifbip-1 M31418 4.07 TCRγ-V4 X00697 13.42
Ig B cell antigen receptor gene L28059 7.61 Tiap, IAP repeat AB013819 2.08
Ig B cell antigen receptor gene L28060 4.06 UPase, UdRPase, uridine phosphorylase D44464 11.84
Ig g-3 V-D-J region D14625 5.47 Vh186.2/Jh2 AF065324 2.98
Ig heavy chain 6 (heavy chain of IgM) X94420 4.07 Vk10c AF029261 3
Ig heavy chain variable region precursor, gene AF036737 3.99
Table 1b. IL-12-inhibited genes (169 genes).
Gene and description Genbank accession Fold inhibition Gene and description Genbank accession Fold inhibition
ALL 1-fused gene from chromosome 1q U95498 2.93 f8a, factor VIII-associated protein M83118 2.5
Angiotensin converting enzyme J04946 2.07 Fatty acid amide hydrolase gene AF098009 2.18
Antigenic determinant of rec-A protein X58472 2.01 Fc receptor, IgG, alpha chain transporter L17022 5.59
Arp1, alpha-Arp1 AB010297 2.12 Feminization 1 homolog a (C. elegans) AI836048 2.07
ATPase, H+ transporting, lysosomal (vacuolar proton pump), subunit 1 AI646638 3.21 FK506 binding protein 4 (59 kDa) X17069 2.2
BAP, Bap37 AC002397 2.02 galK, galactokinase AB027012 2.26
Bat-4 L76155 2.14 General control of amino acid synthesis-like 2 (yeast) AW049299 2.07
Bromodomain-containing 4 AI838366 2.44 Glns-ps1, outative introless glutamine synthetase M60803 2.55
BSP1, Nrpn, mGk-8, Prss19, TADG14 D30785 2.24 Gna11, guanine nucleotide binding protein U37413 2.83
Bystin-like AI132491 2.04 GR, glucagon receptor L38613 2.08
Cannabinoid receptor 2 (macrophage) X86405 2.43 Granzyme G J02872 2.04
Casein kinase II, alpha 1 related sequence 4 U51866 2.23 Guanosine diphosphate (GDP) dissociation inhibitor 2 U07951 5.16
Cd28 M34563 2.01 Histocompatibility 2, L region AI326621 3.13
CD3 antigen, delta polypeptide X02339 2.01 Histone cell cycle regulation defective homolog A (S. cerevisiae) AW125193 2.72
CD6 antigen U12434 2.09 Hnrpa1, alternative splicing modulator U65316 3.15
Cerebellar degeneration-related 2 U88588 2.99 hsp40 AB028272 2.76
Chaperonin subunit 5 (epsilon) AV170770 2.24 hsp-E7I L40406 2.8
Chemokine (C-X-C) receptor 4 Z80112 2.42 IGFBP-4, insulin like growth factor binding protein 4 X76066 2.1
Chromobox homolog 1 (Drosophila HP1 beta) X56690 20.49 IL-4 receptor (IL4R) M27960 2.21
CIS, cytokine SH2-containing protein D89613 2.25 IL-7 receptor (IL7R) M29697 2.66
Cleavage and polyadenylation specificity factor 3 AI849311 2.56 Insulin-like growth factor I receptor AF056187 2.09
Cmah, CMP-N-acetylneuraminic acid hydroxylase D21826 2.02 Intercellular adhesion molecule 2 X65493 2.4
Ctps2, CTP synthetase homolog U49385 2.29 K+ intermediate/small conductance Ca2+-activated channel, subfamily N, member 4 AF042487 2.36
CYL2, D-type cyclin M83749 2.5 Kallikrein 8 AV145185 2.42
Defender against cell death 1 AV099898 2.16 Keratin complex 1, acidic, gene 10 V00830 3.38
DNA polymerase epsilon, subunit 2 AF036898 2.21 Kruppel-like factor 2 (LKLF) U25096 2.3
DNA segment, Chr 2, ERATO Doi 391, expressed AW121160 2.15 LEF-1 D16503 2.29
DnaJ (Hsp40) homolog, subfamily B, member 10 AI843164 2.63 LEF-1 D16503 2.02
EBI 1, G-protein coupled receptor L31580 2.13 Leucine zipper-EF-hand containing transmembrane protein 1 AI851685 2.62
Epoxide hydrolase 1, microsomal U89491 2.52 lpC1, G protein-coupled receptor EDG6 AJ006074 2.28
EST AV356018 6.02 Lymphocyte protein tyrosine kinase AV314529 2.1
EST AA673252 4.96 Max dimerization protein 4 U32395 2.49
EST AW061161 2.76 Melanocyte proliferating gene 1 AI842612 2
EST AI843106 2.48 MEN1, menin AB023401 2.36
EST AI854141 2.46 Mesoderm development candiate 2 AW045534 2.38
EST AW011716 2.44 Mitochondrial ribosomal protein L53 AI854607 2.09
EST AV274270 2.44 MMET-1, granzyme M AB015728 2.07
EST AV164757 2.44 Mouse ORF M37030 2.49
EST AV117844 2.43 mRECK, metastasis and invasion AB006960 2.39
EST AW259411 2.42 Ndr2 AB033921 3.19
EST AI842128 2.4 Npm3 U64450 2.08
EST AI834777 2.38 P4ha1, prolyl 4-hydroxylase alpha(I)-subunit U16162 2.36
EST AI846549 2.38 PAC1, tyrosine-threonine dual specificity phosphatase U09268 2.01
EST AA795923 2.36 Period homolog (Drosophila) AF022992 2.05
EST AW049142 2.36 Pkcz, protein kinase C zeta M94632 2.61
EST AW050018 2.33 Polymerase, gamma U53584 2.05
EST AV352777 2.33 Polyomavirus enhancer activator 3 X63190 4.55
EST AA798971 2.32 Polypyrimidine tract binding protein AV274525 2.55
EST AI849939 2.28 Polypyrimidine tract binding protein 2 AI119718 2.3
EST AI843155 2.27 Pore forming protein, perforin X12760 2.56
EST C79210 2.25 Praja1, similar to neurodegeneration associated protein 1 U06944 3.21
EST AI847879 2.24 Praja1, similar to rat neurodegeneration associated protein 1 U06944 2.09
EST AW121399 2.23 Protein kinase C, zeta AV367375 2.4
EST AW124529 2.23 Protein typrotein tyrosine kinase 9-like (A6-related protein) Y17808 2.2
EST AV171460 2.22 RAB23, member RAS oncogene family Z22821 2.25
EST AA718040 2.21 rab6 L40934 2.04
EST AW050015 2.2 Rbm14 X52102 2.09
EST AW060927 2.19 Rearranged T-cell receptor beta V14/D1.1/J2.3 gene segment X03278 2.41
EST AW125116 2.18 RFC1 L23755 2.05
EST AW046470 2.18 Rpl10 AV105022 2.24
EST AW123921 2.17 s11-6, zinc finger protein AB020542 2.14
EST AW061306 2.17 Sepiapterin reductase AI530375 2.24
EST AV369210 2.17 Sex comb on midleg-like 1 (Drosophila) AI853225 2.8
EST AI845814 2.16 Sgne1, neuroendocrine protein 7B2 X15830 2.19
EST AA867778 2.16 SHP2 interacting transmembrane adaptor AJ236881 2.87
EST AF110520 2.15 Solute carrier family 16 (monocarboxylic acid transporters), member 1 AF058055 2.04
EST AA168476 2.14 Srm, spermidine synthase pseudogene 2 Z80833 2.37
EST AW208513 2.13 TATA box binding protein (Tbp)-associated factor, RNA polymerase I, C Y09974 2.12
EST AW049326 2.13 Tcra-V8 X06307 2.12
EST AV084635 2.13 Tcrz, T cell receptor zeta chain J04967 2.07
EST AV314618 2.13 Thromboxane A2 receptor D10849 2.44
EST AI527477 2.11 Thy1 M12379 2.08
EST AW060526 2.1 Thymoma viral proto-oncogene 2 (Akt2) U22445 2.42
EST AI007117 2.1 Tob, Trob D78382 2.02
EST AI854358 2.09 Translocase of inner mitochondrial membrane 22 homolog (yeast) AA760359 2.08
EST AI854144 2.07 TRAP, acid phosphatase type 5 gene M99054 2.3
EST AI846994 2.07 Ubiquitin-conjugating enzyme E2D 2 AV171056 2.33
EST AA733372 2.05 Ubiquitin-conjugating enzyme E2H U19854 2.21
EST AA250414 2.05 UDP-N-acetyl-alpha-D-galactosamine U18975 2.3
EST AI850991 2.04 Upregulated by 1,25-dihydroxyvitamin D-3 AI839138 2.1
EST AW123267 2.02 Zfp-35, zinc finger proetin M36146 3.53
EST AI596360 2.01 Zinc finger protein 161 AI447619 2.11
EST AA688761 2.01 Zinc finger protein 54 AF080070 2.24
EST AV28333 2.01 Zinc finger protein 94 U46187 2.92

Although the CD8+T cell response activated by IL-12 analyzed in this study was a total one instead of being specific for given target molecules in the TS/A tumor because of the lack of identified tumor antigens, interesting information regarding the CTL response to a developing tumor can still be gleaned and extrapolated from the microarray data. On the side of the induced genes by IL-12, many of them were quite as expected. Genes that are involved in proteolysis, cytotoxic killing, and cell migration were found, e.g., several types of carboxypeptidases, myeloperoxidase, proteinase 3, neutrophil elastase, caspase-1 (IL-1-converting enzyme, ICE), NK killer receptor NKG2-D, Ly49b, IFN-γ-induced GTPases and chemokines (IP-10, macrophage inflammatory protein MIP), chemokine receptors (CCR1 and CCR5), etc.

One surprising finding is the strong induction of IL-6 by IL-12. IL-6 is a multifunctional cytokine that regulates cell growth, differentiation, and cell survival in the immune system. These two cytokines are not known to interact and cross-talk. In some malignant tumors, tumor-infiltrating lymphocytes (TIL) secrete IL-6 (61, 62). IL-6 completely antagonizes the immunosuppressive effects of TGF-β1 on T cell proliferation in eyes with endotoxin-induced uveitis (63). Combined IL-2 and IL-6 gene therapy, by liposome-mediated intratumor delivery to mice bearing B16F10 melanoma, significantly enhances the CTL and NK activity of splenocytes and TILs (64). TIL secretion of IL-6 antagonizes tumor-derived TGF-β1 and restores the lymphokine-activated killing activity against canine transmissible venereal tumor (CTVT) (65). In light of these new findings and our own data, the role of IL-6 in tumor-specific CTL responses and the interaction between IL-12 and IL-6 should be explored.

A much less appreciated aspect of IL-12 immunobiology is the flip side of the coin, i.e., its inhibitory activities. Among the genes that were inhibited by IL-12 in the CD8+T cells are more novelties. Take for example, guanosine diphosphate (GDP) dissociation inhibitor 2 (GDI-2). The GDP dissociation inhibitors (GDIs) represent an important class of regulatory proteins in the functional cycle and recycling of Rab GTPases. Accumulated evidence over the past several years points to a functional role for the Rab/YPT1/SEC4 gene subfamily of p21 ras-like small GTP-binding proteins in the mechanisms regulating membrane trafficking in yeast and mammalian cells. Reported data are consistent with the notion that Rabs are essential in each step of vesicular transport, including vesicle formation, vesicle docking, and membrane fusion (66). Among the three presently known members of the GDI protein class (GDI-1, also known as RabGDI or GDIα, GDI-2, and GDIβ) (6770), GDI-1, the best-studied member, appears crucial for progression through the membrane/cytosol localization cycle and the recycling of all Rabs. Because GDIs display a high degree of homology (86% and 96% identity between GDI-2 and GDI-1, or GDIβ, respectively), it is largely accepted, yet not proven, that they exhibit a redundant function. Although several lines of biochemical and morphological evidence suggest distinct functional roles for GDI-1 and GDI-2 in the context of living cells (7173), no specificity toward an individual Rab or a subset of Rab proteins has been documented. Thus, GDI-2 displays a general activity to release Rabs from membranes (74). Although the involvement of Rabs in cancer is presently unknown, their regulation by GDIs could be an interesting direction in immune response to developing cancer.

Polyomavirus enhancer activator 3 (PEA3) is the prototypical member of one major subgroup of the superfamily of Ets-related transcription factors which, at the present time, is composed of three members, PEA3 (also known as E1AF or ETV4) (75), ER81/ETV1 (76) and ERM/ETV5 (77). These three transcription factors are > 95% identical in the Ets-domain and > 85% in the transactivation acidic domain (78). Several candidate target genes of the PEA3 transcription factor have been reported based largely on the occurrence of Ets-binding sites in their upstream regulatory regions. A large proportion of these genes encode matrix proteases (MMP-2, -7, -9, -13, -14 and -19, uPA) and some of their inhibitors (TIMP-1), whose dysregulated expression has been associated with the invasive potential of tumor cells (7984). Expression of PEA3 has been positively linked to MMP2, NRG1 and CGB expression in breast tumorigenesis (85). It would be interesting to establish the role of PEA3 in IL-12-mediated anti-tumor CTL response.

IL-12-induced CTL development is a central theme in the immune responses against intracellular infectious agents as well as against malignant growth, united by a common mechanism regulated by IL-12. The microarray data collected at various stages of a tumor-specific CTL development induced by IL-12 represent a comprehensive molecular survey of these important differentiation events in a biologically dynamic and kinetic manner. With the aid of sophisticated bioinformatic tools and experimental verification, we will be able to uncover previously unknown pathways and identify potential targets critical for CTL activation in response to tumor development. These novel pathways and targets will be invaluable to our efforts to understand the process of anti-tumor responses effected by the immune system.

Acknowledgments

S. Cao was supported by a fellowship from the Susan G. Komen Breast Cancer Foundation.

Abbreviation

CTL

cytotoxic T lymphocyte

DC

dendritic cell

FGF

fibroblast growth factor

VEGF

vascular endothelial growth factor

GDP

guanosine diphosphate

CTVT

canine transmissible venereal tumor

PEA3

polyomavirus enhancer activator 3

MIP

macrophage inflammatory protein

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