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Abstract 


Despite several advances in our basic understanding and in the clinical management of pancreatic cancer, virtually all patients who will be diagnosed with pancreatic cancer will die from this disease. The high mortality of pancreatic cancer is predominantly because of diagnosis at an advanced stage of disease and a lack of effective treatments. We used the Gene Logic Inc. BioExpress platform and Affymetrix GeneChip arrays to identify genes differentially expressed in pancreatic cancer. cDNA was prepared from samples of normal pancreas (n = 11), normal gastrointestinal mucosa (n = 22), resected pancreas cancer tissues (n = 14), and pancreas cancer cell lines (n = 8), and was hybridized to the complete Affymetrix Human Genome U95 GeneChip set (arrays U95 A, B, C, D, and E) for simultaneous analysis of 60,000 cDNA fragments, with 12,000 fragments covering full-length genes and 48,000 fragments covering expressed sequence tags (ESTs). Genes expressed at levels at least fivefold greater in the pancreatic cancers ascompared to normal tissues were identified. Serial analysis of gene expression (SAGE) libraries (http://www.ncbi.nlm.nih.gov/SAGE/) of two normal pancreatic ductal cell cultures (HX and H126) were used to exclude genes expressed in the normal ducts (more than five tags per library). Differential expression of selected candidate genes was validated by immunohistochemical analysis (n = 3), by in situ hybridization (n = 1), and by reverse transcriptase-polymerase chain reaction (n = 8). One hundred eighty fragments were identified as having fivefold or greater expression levels in pancreas cancer specimens as compared to normal tissue, of which 124 corresponded to known genes and 56 to ESTs. Of these 124 fragments, 10 genes were represented by two or more fragments, resulting in 107 known genes identified as differentially expressed in pancreatic cancer. An additional 10 genes were expressed in the SAGE libraries of normal pancreatic duct epithelium, and were excluded from further analysis. A literature search indicated that 28 of the remaining 97 genes have been reported in association with pancreatic cancer, validating this approach. The remaining 69 genes have not been implicated in pancreatic cancer before, and have immediate potential as novel therapeutic targets and tumor markers of pancreatic cancer.

Free full text 


Logo of amjpatholLink to Publisher's site
Am J Pathol. 2002 Apr; 160(4): 1239–1249.
PMCID: PMC1867224
PMID: 11943709

Discovery of Novel Tumor Markers of Pancreatic Cancer using Global Gene Expression Technology

Abstract

Despite several advances in our basic understanding and in the clinical management of pancreatic cancer, virtually all patients who will be diagnosed with pancreatic cancer will die from this disease. The high mortality of pancreatic cancer is predominantly because of diagnosis at an advanced stage of disease and a lack of effective treatments. We used the Gene Logic Inc. BioExpress platform and Affymetrix GeneChip arrays to identify genes differentially expressed in pancreatic cancer. cDNA was prepared from samples of normal pancreas (n = 11), normal gastrointestinal mucosa (n = 22), resected pancreas cancer tissues (n = 14), and pancreas cancer cell lines (n = 8), and was hybridized to the complete Affymetrix Human Genome U95 GeneChip set (arrays U95 A, B, C, D, and E) for simultaneous analysis of 60,000 cDNA fragments, with 12,000 fragments covering full-length genes and 48,000 fragments covering expressed sequence tags (ESTs). Genes expressed at levels at least fivefold greater in the pancreatic cancers ascompared to normal tissues were identified. Serial analysis of gene expression (SAGE) libraries (http://www.ncbi.nlm.nih.gov/SAGE/) of two normal pancreatic ductal cell cultures (HX and H126) were used to exclude genes expressed in the normal ducts (more than five tags per library). Differential expression of selected candidate genes was validated by immunohistochemical analysis (n = 3), by in situ hybridization (n = 1), and by reverse transcriptase-polymerase chain reaction (n = 8). One hundred eighty fragments were identified as having fivefold or greater expression levels in pancreas cancer specimens as compared to normal tissue, of which 124 corresponded to known genes and 56 to ESTs. Of these 124 fragments, 10 genes were represented by two or more fragments, resulting in 107 known genes identified as differentially expressed in pancreatic cancer. An additional 10 genes were expressed in the SAGE libraries of normal pancreatic duct epithelium, and were excluded from further analysis. A literature search indicated that 28 of the remaining 97 genes have been reported in association with pancreatic cancer, validating this approach. The remaining 69 genes have not been implicated in pancreatic cancer before, and have immediate potential as novel therapeutic targets and tumor markers of pancreatic cancer.

Pancreatic cancer continues to have one of the highest mortality rates of any malignancy. Each year, 28,000 patients are diagnosed with pancreatic cancer, and nearly 28,000 will die of their disease. 1 The vast majority of patients are diagnosed at an advanced stage of disease because currently no tumor markers are known that allow reliable screening for pancreatic cancer at an earlier, potentially curative stage. This is a particular problem for those patients with a strong familial history of pancreatic cancer, who may have up to a 57-fold greater risk of developing pancreatic cancer in their lifetime. 2 New tumor markers of pancreatic cancer are urgently needed.

The utility of RNA-based global gene expression profiling biotechniques in identifying new markers of cancer is established. 3,4 For example, we have identified two new potential markers of pancreatic carcinoma, mesothelin and prostate stem cell antigen, using serial analysis of gene expression (SAGE). 5,6 Both markers are expressed specifically by the neoplastic epithelium of infiltrating carcinomas of the pancreas as compared to normal duct epithelium, and both offer new possibilities for the development of screening markers and therapeutic targets.

In an effort to identify additional potential markers of pancreatic carcinoma, we used the Gene Logic Inc. BioExpress platform and Affymetrix GeneChip arrays to identify genes differentially expressed in a large series of pancreatic cancers. Biocomputational tools were used to determine those genes most highly expressed within pancreatic cancer samples compared to normal pancreatic tissue. Genes found to be significantly expressed in SAGE libraries of normal pancreatic ductal cells were excluded, and the expression of selected genes was confirmed by immunohistochemical labeling, in situ hybridization and reverse transcriptase-polymerase chain reaction (RT-PCR). Here we report 97 genes differentially overexpressed in pancreatic cancer, 69 of which are novel.

Materials and Methods

Tissues

Samples (0.5 g) of normal pancreas (n = 11); normal duodenal, jejunal, or colonic mucosa (n = 22); or infiltrating pancreatic adenocarcinoma (n = 14) were collected from surgical specimens from patients at The Johns Hopkins Hospital. In each case, the specimens were harvested within 10 minutes of resection from the patient and snap-frozen in liquid nitrogen before storage at −80°C. The resected cancers were not microdissected because we were interested in not only identifying the genes expressed by neoplastic epithelial calls, but also the genes expressed as a result of the neoplastic cell-stroma interaction. Hematoxylin and eosin-stained sections of adjacent sections of the tissue were prepared before snap-freezing to confirm the diagnosis. The neoplastic cellularity of these tissue samples ranged from 5 to 55%. Normal gastrointestinal mucosa was included in the analyses to facilitate the identification of markers of pancreatic cancer that would be useful in screening secondary sources, such as in duodenal fluid samples.

Cell Lines

Human pancreatic cancer cell lines AsPc1, BxPc3, CAPAN1, CAPAN2, CFPAC1, COLO357, Hs766T, MiaPaCa2, Panc-1, and Su86.86, and human pancreatic normal duct epithelial line HPDE6, were obtained from the American Type Culture Collection, Rockville, MD. PL cell lines (PL1-6, PL8-14) were low-passage pancreatic carcinoma cell lines kindly provided by Dr. Elizabeth Jaffee from the Department of Oncology, The Johns Hopkins Hospital, Baltimore, MD. 7 Cell lines were cultured in Dulbecco’s modified Eagle’s medium supplemented with 10% fetal bovine serum and antibiotics (100 U/ml penicillin and 100 μg/ml streptomycin). CAPAN1 and CAPAN2 cell lines were cultured in RPMI 1640 medium (Life Technologies, Inc., Gaithersburg, MD) supplemented with 10% fetal bovine serum and antibiotics (100 U/ml penicillin and 100 μg/ml streptomycin), respectively. Use of different media minimized the variance in growth rates that would otherwise be exaggerated with a single medium. Cells were incubated at 37°C in a humidified atmosphere of 5% CO2 in air.

mRNA Extractions and Affymetrix GeneChip Hybridization

Sample preparation and processing procedure was performed as described in the Affymetrix GeneChip Expression Analysis Manual (Santa Clara, CA). Briefly, each frozen tissue was crushed to powder by using the Spex Certiprep 6800 Freezer Mill (Metuchen, NJ). Total RNA was then extracted from the crushed normal and neoplastic tissues or cell pellets (BxPC3, COLO357, Hs766T, MiaPaCa2, Panc1, PL3, PL4, PL8) using TRIzol (Life Technologies, Inc., Rockville, MD) and cleaned using RNeasy columns according to the manufacturer’s protocol (Qiagen, Valencia, CA). Using 5 to 40 μg of total RNA, double-stranded cDNA was synthesized following SuperScript Choice system (Life Technologies, Inc., Rockville, MD). T7-(dT24) oligomer was used for priming the first-strand cDNA synthesis. The resultant cDNA was purified using Phase Lock Gel, phenol/chloroform extraction, and precipitated with ethanol. The cDNA pellet was collected and dissolved in appropriate volume. Using cDNA as template, cRNA was synthesized using a T7 MegaScript In Vitro Transcription (IVT) Kit (Ambion, Austin, TX). Biotinylate-11-CTP and 16-UTP ribonucleotides (Enzo Diagnostics Inc., Farmingdale, NY) were added to the reaction as labeling reagents. IVT reactions were performed at 37°C for 6 hours and, the labeled cRNA obtained was purified using RNeasy columns (Qiagen, Valencia, CA). The cRNA was fragmented in fragmentation buffer (40 mmol/L Tris-Acetate, pH 8.1, 100 mmol/L KOAc, 30 mmol/L MgOAc) for 35 minutes at 94°C. Fragmented cRNA prepared from each sample (10 to 11 μg/probe array) was hybridized to the human GeneChip set (HG_U95 A, B, C, D, and E) noncompetitively at 45°C for 24 hours in a hybridization oven with constant rotation (60 rpm). Fragmented cRNAs are hybridized to the GeneChip set by way of multiple 20 to 25 oligonucleotide probes specific for each gene, with each probe corresponding to a different region of the mRNA of interest. The probes specific for each mRNA are scattered across the surface of each GeneChip to control for technical issues that occur with each hybridization. The chips were washed and stained using Affymetrix fluidics stations. Staining was performed using streptavidin-phycoerythrin conjugate (SAPE; Molecular Probes, Eugene, OR), followed by the addition of biotinylated antibody to streptavidin (Vector Laboratories, Burlingame, CA), and finally with streptavidin-phycoerythrin conjugate. Probe arrays was scanned using fluorometric scanners (Hewlett Packard Gene Array Scanner; Hewlett Packard Corporation, Palo Alto, CA).

The scanned images were inspected and analyzed using established quality control measures, with the hybridization intensities reflecting in a linear manner the mRNA expression in the tissues or cells being assayed. Hybridization was controlled for each probe by the use of a mismatch control that has a single base mismatch. This mismatch control is analyzed using the GeneLogic informatics filter that compares the hybridization intensity of mismatched to perfect matched probes (to eliminate those that are nonspecific over a specified threshold) as well as different probes to the same gene.

Statistical Data Analysis

The GeneExpress Software System Fold Change Analysis tool was used to identify genes expressed at least fivefold greater in the pancreatic cancers compared to normal tissues. For each gene fragment, the ratio of the geometric means of the expression intensities in the normal control tissues and the pancreas cancer samples was calculated, and the fold change then calculated on a per fragment basis. Confidence limits were calculated using a two-sided Welch modified t-test on the difference of the means of the logs of the intensities.

SAGE

Short-term cultures of nonneoplastic pancreatic ductal epithelial cells (HX and H126) were prepared as described and validated as having the characteristics of ductal epithelium. 8 SAGE libraries were previously constructed as described by Ryu and colleagues, 9,10 and sequencing was performed by the CGAP SAGE consortium at the Lawrence Livermore National Laboratories and Washington University Human Genome Center (St. Louis, MO). SAGE library data from the short-term cultures of nonneoplastic pancreatic duct epithelial cells have been posted on the CGAP web site as part of the SAGEmap database (http://www.ncbi.nlm.nih.gov/SAGE).

In Situ Hybridization

Preparation of digoxigenin-labeled sense and antisense riboprobes and in situ hybridization were performed as previously described in detail. 11

RT-PCR

Total RNA was isolated from cultured cells by using TRIzol reagent (Life Technologies, Inc.). Cell lines used for RT-PCR were PL1-6, PL8-14, CAPAN1, CFPAC, AsPc1, BxPC3, Hs766T, MiaPaCa2, Panc1, and HPDE6. An aliquot of 1 μg of total RNA from each sample was reverse-transcribed to cDNA using the SuperScript II kit (Life Technologies, Inc.) according to the manufacturer’s instructions, with oligo(dT)12-18 primer. PCR primers were designed to amplify cDNA fragments with various sizes using standard PCR conditions. The PCR reaction products were resolved by electrophoresis in a 3% agarose gel and stained with ethidium bromide. Loading was controlled by the simultaneous PCR of glyceraldehyde-3-phosphate dehydrogenase cDNA.

Immunohistochemistry

Sections of infiltrating primary ductal adenocarcinoma of the pancreas were formalin-fixed and paraffin-embedded, and unstained 4-μm sections were then cut from the paraffin blocks. For detection of heat shock protein 47 (hsp47), sections were deparaffinized by routine techniques before placing in 200 ml of Target Retrieval Solution, pH 6.0 (Envision Plus Detection kit, DAKO, Carpinteria, CA) for 20 minutes at 100°C. After cooling for 20 minutes, slides were quenched with 3% H2O2 for 5 minutes, before incubating with a 1:800 dilution of monoclonal antibody (colligin m16.10A1) against heat shock protein 47 (Stressgen Biotechnologies, Victoria, BC, Canada) for 30 minutes using the DAKO Autostainer. Labeling was detected with the DAKO Envision system following the manufacturer’s protocol. For detection of topoisomerase IIα and fascin, slides were steamed for 20 minutes in sodium citrate buffer (diluted to 1× from 10× heat-induced epitope retrieval buffer; Ventana-Bio Tek Solutions, Tucson, AZ). After cooling for 5 minutes, slides were labeled with a 1:3200 dilution of mouse monoclonal antibody against topoisomerase II (clone TG100; Neomarkers, Freemont,CA) or a 1:500 dilution of mouse monoclonal antibody against fascin (DAKO) using the Bio Tek 1000 automated stainer (Ventana). Labeling was detected by adding biotinylated secondary antibodies, avidin-biotin complex, and 3,3′-diaminobenzidine. All sections were counterstained with hematoxylin, and staining was evaluated by three of the authors (CID, AM, and RHH) with agreement in all cases evaluated. Staining was considered positive if at least 10% of the cells showed immunolabeling.

Results

Data Filtering

RNA samples were hybridized to the complete Affymetrix Human Genome U95 GeneChip set (arrays U95 A, B, C, D, and E) for simultaneous analysis of 60,000 fragments, with 12,000 fragments covering full-length genes and 48,000 fragments covering ESTs. Affymetrix GeneChips were analyzed for all genes with a fivefold or greater increase in expression in the pancreatic adenocarcinoma tumor tissues or cell lines compared to all normal tissues, using a 95% confidence limit. We identified 180 fragments expressed at least fivefold greater in pancreatic cancer samples as compared to normal tissues, 12 of which were expressed greater than 10-fold. The level of significance for each gene fragment ranged from less than P = 0.00001 to P = 0.01 (modified Welch t-test).

Identification of Highly Expressed Genes in Pancreatic Cancer

Characterization of the 180 fragments identified revealed that 56 fragments corresponded to ESTs, and 124 fragments corresponded to known genes. Among these 124 fragments, 10 genes were represented by two or more fragments, resulting in 107 known genes identified as expressed at least fivefold or greater in pancreatic cancers as compared to normal (Table 1) [triangle] .

Table 1.

Highly Expressed Genes Identified in Pancreatic Cancer Cell Lines and Tissues

Affymetrix fragment nameKnown gene nameFold changeP valueeNorthern pattern*SAGE normal tagsReported in pancreasRef.Cellular location§
39829_atADP-ribosylation factor-like 77.17<0.00001A0,0noC
37403_atAnnexin A15.66<0.00001A1,0noC
89917_atApolipoprotein C-I8.090.00008B1,1yes11EM,M
88518_atAspartate beta-hydroxylase5.59<0.00001A1,2noC
1898_atAtaxia-telangiectasia group D-associated protein5.21<0.00001A0,0noC
91017_atBaculoviral IAP repeat-containing 37.5<0.00001A0,0no
74989_atBiglycan12.270.00011B0,0yes36EM
36976_atCadherin 11, type 2, OB-cadherin (osteoblast)5.93<0.00001B0,0noM
38391_atCapping protein (actin filament), gelsolin-like5.08<0.00001B4,1noC
74707_atCapping protein (actin filament), gelsolin-like11.66<0.00001B4,1noC
53708_atCation-chloride cotransporter-interacting protein5.42<0.00001A2,0noM
339_atCaveolin 25.95<0.00001A0,0noC
2036_s_atCD44 antigen5.3<0.00001A0,2yes37M
89856_atCD83 antigen6.51<0.00001B0,0noM
38112_g_atChondroitin sulfate proteoglycan 2 (versican)5.040.00009B0,0noEM
46260_atClaudin 15.61<0.00001A0,0noM
35474_s_atCollagen, type I, alpha 17.070.00002B1,1yes9;10EM
32305_atCollagen, type I, alpha 28.840.00001B4,2yes9;10EM
32306_g_atCollagen, type I, alpha 25.30.00128B4,2yes9;10EM
63596_f_atCollagen, type I, alpha 25.690.00286B4,2yes9;10EM
60071_s_atCollagen, type I, alpha 25.180.0048B4,2yes9;10EM
37892_atCollagen, type XI, alpha 16.880.00001B0,0yes9;10EM
73132_r_atCyclin-dependent kinase inhibitor 2A (p16)5.87<0.00001A0,0yes38C
40490_atDEAD/H (Asp-Glu-Ala-Asp/His) box polypeptide 218.31<0.00001A8,9no
73128_atDihydropyrimidinase-like 38.330.00001B1,0no
39959_atDiubiquitin5.490.00001B0,0noC
48740_s_atDKFZP564G013 protein6.61<0.00001A0,0no
37981_atDrebrin 15.24<0.00001A0,1noC
1379_atEphA25.07<0.00001A7,6noM
56226_atEukaryotic translation initiation factor 2C, 25.84<0.00001A1,1noC
34678_atfer-1 (C. elegans)-like 3 (myoferlin)9.03<0.00001A0,0noM
39945_atFibroblast activation protein, alpha5.570.00001B0,0noM
311_s_atFibronectin 16.530.00005B2,1noM,EM
65830_atFXYD domain-containing ion transport regulator 58.69<0.00001A5,7no
91306_s_atGap junction protein, beta 2, 26kD (connexin 26)7.32<0.00001A0,0yes39M
91309_r_atGap junction protein, beta 2, 26kD (connexin 26)5.37<0.00001A0,0yes39M
89908_f_atGDP dissociation inhibitor 17.58<0.00001A0,1yes40C
40365_atGuanine nucleotide binding protein (G protein), alpha 155.18<0.00001A0,0no
43366_atHypothetical protein FLJ102615.61<0.00001A0,1no
43963_atHypothetical protein FLJ102616.35<0.00001A0,1no
58235_atHypothetical protein FLJ105405.45<0.00001A0,0no
44062_atHypothetical protein FLJ108495.59<0.00001A2,1no
85285_atHypothetical protein FLJ111835.6<0.00001A0,0no
54030_atHypothetical protein FLJ203737.08<0.00001A1,1no
47427_atHypothetical protein FLJ205395.8<0.00001A0,0no
74810_s_atHypothetical protein FLJ2256913.05<0.00001A2,0no
75276_atHypoxia-inducible factor 1, alpha subunit5.66<0.00001A1,0yes41C
37558_atIGF-II mRNA-binding protein 35.91<0.00001A1,1yes42
88957_atIntegrin, beta-like 1 (with EGF-like repeat domains)7.49<0.00001A0,0noM
89882_atInterferon induced transmembrane protein 1 (9-27)6.51<0.00001A0,0yes43M
35372_r_atInterleukin-86.53<0.00001A0,0yes35C
1369_s_atInterleukin-85.140.00004A0,0yes35C
41294_atKeratin 710.77<0.00001A2,4yes18C
33893_r_atKIAA0470 gene product5.45<0.00001A0,0no
35832_atKIAA1077 protein6.990.00001B0,0no
57215_atKIAA1078 protein5.3<0.00001A1,1no
36070_atKIAA1199 protein5.61<0.00001A1,2no
50402_atKIAA1265 protein5.05<0.00001A0,0no
60289_atKIAA1323 protein5.18<0.00001A0,0no
77022_atKIAA1363 protein5<0.00001A0,0no
41438_atKIAA1451 protein5.83<0.00001A0,1no
75014_i_atKIAA1533 protein6.220.00002A93,123no
78484_atKIAA1577 protein5.36<0.00001A0,0no
74535_atLamin B211.53<0.00001A0,0noN
35280_atLaminin, gamma 25.28<0.00001A0,0yes44EM
91124_i_atLeukemia-associated phosphoprotein p18 (stathmin)6.69<0.00001A5,3no
32821_atLipocalin 2 (oncogene 24p3)8.86<0.00001A5,2yes45S
73002_atMatrix metalloproteinase 14 (membrane-inserted)7.270.00003B0,0yes11M
668_s_atMatrix metalloproteinase 7 (matrilysin, uterine)8.790.00001B0,0yes9S
75026_s_atMethylene tetrahydrofolate dehydrogenase5.97<0.00001A14,14noC
35694_atMitogen-activated protein kinase kinase kinase kinase 45.6<0.00001A0,0noC
38272_atMKP-1 like protein tyrosine phosphatase5.63<0.00001B0,0no
37032_atNicotinamide N-methyltransferase5.040.00056A0,2noC
78518_atNuclear receptor subfamily 2, group F, member 17.48<0.00001A0,0noC
75321_f_atNucleosome assembly protein 1-like 15.4<0.00001A0,3noC
73229_atNucleosome assembly protein 1-like 16.29<0.00001A0,3noC
91187_s_atNucleosome assembly protein 1-like 18.57<0.00001A0,3noC
91189_r_atNucleosome assembly protein 1-like 18.48<0.00001A0,3noC
91546_r_atNucleosome assembly protein 1-like 17.54<0.00001A0,3noC
1451_s_atOsteoblast specific factor 2 (fasciclin I-like)5.30.00025B0,0no
78711_atParaneoplastic antigen MA15.49<0.00001A0,1noN
81926_atPeptidylarginine deiminase type I5.87<0.00001A0,0no
37310_atPlasminogen activator, urokinase5.71<0.00001A1,2yes46S
189_s_atPlasminogen activator, urokinase receptor6.18<0.00001A0,1yes46M
74696_r_atPDGF receptor, beta polypeptide6.140.00005B0,0yes47M
91311_atPleckstrin homology-like domain, family A, member 114.66<0.00001A5,2no
90442_atPlectin 1, intermediate filament binding protein, 500kD6.690.00015A0,1noC
49666_s_atPRO1073 protein6.27<0.00001A1,5no
63958_atProstate stem cell antigen5.340.00001B0,0yes6M
40078_atProtease, serine, 235.62<0.00001A0,0yes48
40079_atProtease, serine, 237.07<0.00001A0,0yes48
80688_atProtein kinase C-like 15.23<0.00001A0,1yes49C
80463_atPutative protein5.05<0.00001A0,2no
46683_atRAB6 interacting, kinesin-like (rabkinesin6)5.09<0.00001A0,0noC
49125_atRas GTPase activating protein-like7.01<0.00001A4,4no
49125_atRas GTPase activating protein-like7.01<0.00001A4,4no
33730_atRetinoic acid induced 35.53<0.00001A3,1noM
57027_atRetinoic acid induced 39.25<0.00001A3,1noM
52123_atRho guanine nucleotide exchange factor (GEF) 15.35<0.00001A0,0noC
89969_atRibosomal protein S15a5.55<0.00001A0,0noC
74736_f_atRNA binding motif, single stranded interacting protein 19.41<0.00001A0,0noN
39421_atRunt-related transcription factor 1 (aml1 oncogene)5.92<0.00001A0,4noN
34319_atS100 calcium-binding protein P8.73<0.00001A0,0noN
74815_atSecreted phosphoprotein 1 (osteopontin)7.980.01276B0,0noS
38125_atSerine (or cysteine) proteinase inhibitor, clade E, member 16.68<0.00001A10,10yes27
39166_s_atHeat shock protein 476.41<0.00001B1,4no
41544_atSerum-inducible kinase6.23<0.00001A0,0no
39070_atSinged (Drosophila)-like (sea urchin fascin homolog like)13.31<0.00001A1,1noC
33143_s_atSolute carrier family 16, member 38.23<0.00001A0,0noM
87860_s_atSolute carrier family 21, member 128.92<0.00001A0,0no
32186_atSolute carrier family 7, member 56.27<0.00001A0,0noM
658_atThrombospondin 26.940.00001B0,0noEM
659_g_atThrombospondin 29.92<0.00001B0,0noEM
43353_atThrombospondin 25.370.00006B0,0noEM
43353_atTissue inhibitor of metalloproteinase 18.14<0.00001A22,24yes28S
74096_atTopoisomerase (DNA) II alpha (170kD)5.280.00001A1,0/2,0noN
69053_atTranscription factor BMAL27.03<0.00001A0,0noN
231_atTransglutaminase 25.22<0.00001A5,11yes50C
41531_atTransmembrane 4 superfamily member 16.19<0.00001A7,5noM
892_atTransmembrane 4 superfamily member 16.22<0.00001A7,5noM
46644_atTransmembrane, prostate androgen induced RNA5.33<0.00001A1,2no
91095_s_atTransmembrane, prostate androgen induced RNA9.54<0.00001A1,2no
31888_s_atTumor suppressing subtransferable candidate 35.99<0.00001A9,11noC
291_s_atTumor-associated calcium signal transducer 29.29<0.00001A0,0yes10M
82782_atZinc finger protein 2675.53<0.00001A0,0noC

*A, elevated expression in cell lines and tumor tissues; B, elevated expression in tumor tissues only.

Values listed are the total number of tags present in the two SAGE libraries of normal pancreatic duct epithelium (HX and H126) for each known gene identified. Genes with >5 tags present in at least one of the two libraries are indicated by an , and were excluded from further analyses.

§Putative location. C, cytoplasmic; M, cell membrane; EM, extracellular matrix; N, nuclear; S, secreted.

The GeneExpress platform allows for an e-Northern analysis of Affymetrix fragments to estimate the levels of expression of any fragment among the normal and cancer samples analyzed. An e-Northern was then generated for each of the 124 Affymetrix fragments to determine levels of expression of each fragment within the normal tissues, pancreas cancer cell lines, and pancreas cancer tumor tissues studied. Two prominent patterns of expression were identified (Figure 1) [triangle] . The first pattern (the A or cancer-specific pattern) demonstrated elevated expression of the fragment in both pancreas cancer cell lines and in resected pancreatic cancer tissues compared to normal tissues. Ninety-five fragments showed this pattern. The second pattern (the B or invasion-specific pattern) showed elevated expression of the fragment in the resected pancreatic cancer tissues only, but not in the cancer cell lines or normal tissues. This B pattern was observed for 29 fragments. Genes that were represented by more than one fragment showed the same e-Northern pattern for each fragment analyzed.

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Object name is jh0423095001.jpg

e-Northern analysis of highly expressed Affymetrix gene fragments identified by the GeneExpress platform. A: Affymetrix fragment for sea urchin fascin homolog, highly expressed in both pancreas cancer cell lines and tumor tissues compared to normal (A pattern). B: Affymetrix fragment for heat shock protein 47, specifically overexpressed in pancreas cancer tumor tissues but not pancreas cancer cell lines or normal tissues (B pattern).

The normal pancreas contains a predominance of acinar cells and islets relative to normal duct epithelium. The normal pancreatic duct epithelium is therefore underrepresented in gene expression analyses of bulk normal pancreas. Therefore, the candidate genes identified by Affymetrix GeneChip were further refined to exclude genes highly expressed in cultures of normal pancreatic ductal epithelial cells. For each gene identified as differentially expressed by Affymetrix GeneChip, the corresponding SAGE tag was identified, and the total number of SAGE tags present in the SAGEmap database (http://www.ncbi.nlm.nih.gov/SAGE/) of normal pancreas duct epithelium libraries HX and H126 was determined. Any gene having more than five tags in at least one of these two SAGE libraries was then excluded from further analysis. Using this approach, 10 genes were identified as having high levels of expression in normal pancreatic duct epithelium (DEAD/H box polypeptide 21, EphA2, FXYD domain-containing ion transport regulator 5, KIAA1577 protein, methylene tetrahydrofolate dehydrogenase, serine/cysteine proteinase inhibitor, clade E1, TIMP1, transglutaminase 2, transmembrane 4 superfamily member 1, and tumor-suppressing subtransferable candidate 3). These genes were excluded, leaving 97 remaining differentially expressed genes (Table 1) [triangle] . Thus, based on the initial results of e-Northern analysis and SAGE filtering, 97 candidate genes were identified as differentially overexpressed in pancreatic cancer.

Literature Search of Genes Highly Expressed in Pancreatic Cancer

For each of the 97 genes identified, a search was performed using the online NCBI database PubMed using the known gene name together with the terms “pancreas” or “pancreas cancer.” Of the 97 genes analyzed, 28 genes were previously reported to be associated with pancreatic cancer, whereas 69 genes were not (Table 1) [triangle] . Of these 69 genes not identified in this PubMed search as having been reported in pancreatic cancer, 21 have been reported before in association with tumor types other than pancreatic cancer, whereas 48 genes have not been reported in association with any neoplasm.

These 97 candidate tumor markers of pancreatic cancer represented a variety of cellular functions. Genes identified included those involved in cell membrane junctions (claudin 1, connexin 26), 12,13 signal transduction (tumor-associated calcium signal transducer 2, ras GTPase-activating protein-like), 14,15 calcium homeostasis (S100 calcium-binding protein P), 16 cytoskeletal assembly (fascin, keratin 7, rabkinesin6 and pleckstrin), 17-20 cell surface adhesion and recognition (integrin β-like 1), 21 DNA transcription (topoisomerase IIα, transcription factor BMAL2, and AML1), 22-24 DNA repair (ATDC), 25 or extracellular matrix remodeling and function (collagens 1α1, 1α2, and X1α1, heat shock protein 47, MMP14, and MMP7). 11,26,27 The cellular localization of the corresponding gene products was also determined using the online database OMIM available through the NCBI web site (http://www.ncbi.nlm.nih.gov/entrez/query). Genes were found to encode membrane-bound proteins (prostate stem cell antigen, OB-cadherin), cytoplasmic proteins (fascin, ATDC), nuclear proteins (topoisomerase IIα, paraneoplastic antigen MA1), as well as extracellular proteins, such as those involved in extracellular matrix homeostasis (hsp47, thrombospondin 2) or secreted protein products (osteopontin).

Verification of Selected Candidate Tumor Markers

Candidate genes were selected for verification of expression in samples of pancreatic cancer tissues or cell lines (Figures 2 and 3) [triangle] [triangle] . Four genes were selected for analysis by immunohistochemical or in situ hybridization techniques: fascin, topoisomerase IIα, hsp47, and pleckstrin.

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Validation of gene expression by immunohistochemical and in situ hybridization in primary pancreatic cancers. A: Fascin. Strong cytoplasmic immunolabeling is noted within the infiltrating neoplastic epithelium, in contrast to the normal pancreatic duct epithelium that is negative. B: Topoisomerase IIα. Strong nuclear immunolabeling is noted within the neoplastic epithelium, in contrast to the normal pancreatic duct epithelium (black arrows) and desmoplastic stroma that are negative. C: Heat shock protein 47. Strong immunolabeling is noted of the desmoplastic stroma of the tumor, in contrast to the neoplastic epithelium that is negative. D: Pleckstrin. mRNA expression is detected within the neoplastic epithelium by in situ hybridization (black arrows), in contrast to the surrounding desmoplastic stroma that is negative. The nonneoplastic epithelium also did not label.

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Validation of gene expression by RT-PCR in 20 pancreatic cancer cell lines, an immortal human pancreatic ductal epithelial cell line (HPDE6), and a water control. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) serves as an RNA control. Lamin B2 is overexpressed in 19 of the 20 pancreatic cancer cell lines.

Fascin and topoisomerase II both showed an A pattern of expression on e-Northern, corresponding to elevated expression in both the resected neoplastic tissues and cancer cell lines. Immunohistochemical labeling of fascin showed intensely positive cytoplasmic labeling of the neoplastic epithelium in eight of eight samples of paraffin-embedded pancreatic duct adenocarcinomas studied (100%). In all cases, normal duct epithelium and desmoplastic stroma did not express fascin protein (Figure 2A) [triangle] .

Topoisomerase IIα showed strong positive nuclear immunolabeling within eight of eight pancreatic duct adenocarcinomas studied (100%). Normal duct epithelium and the surrounding desmoplastic stroma did not express detectable levels of topoisomerase IIα (Figure 2B) [triangle] .

In contrast to fascin and topoisomerase IIα, hsp47 showed a B pattern of expression on e-Northern, indicating elevated expression of hsp47 in the resected neoplastic tissues only, but not in the cancer cell lines or normal tissues. (Figure 2C) [triangle] . In concordance with this pattern, immunolabeling for hsp47 showed strong labeling of the desmoplastic stroma within the invasive cancer in eight of eight pancreatic duct adenocarcinomas studied (100%). In one of the eight cases, the neoplastic epithelium also labeled. No expression of hsp47 was detected within normal pancreatic duct epithelium or within the intralobular stroma of normal pancreas tissue within the same paraffin-embedded tissue sections.

Pleckstrin was also identified as differentially expressed in pancreatic cancer and displayed an A pattern of expression by e-Northern. No commercially available antibody for pleckstrin was available. Therefore, a digoxigenin-labeled probe was generated to match the coding region of the pleckstrin gene for use in in situ hybridization. In situ hybridization using the anti-sense probe showed expression within the neoplastic epithelium in all eight cases (100%), seen as variably sized granules throughout the cytoplasm of the neoplastic epithelium, in contrast to normal duct epithelium or the surrounding desmoplastic stroma, which did not express this gene (Figure 3D) [triangle] .

Eight additional genes were selected for validation by an RT-PCR study of 20 pancreas cancer cell lines and the immortal human pancreatic ductal epithelial cell line (HPDE6) (Figure 3) [triangle] . Genes selected for validation using RT-PCR were claudin 1, S100 calcium-binding protein P (S100P), interferon-induced transmembrane protein 1 (IFITM1), lamin B2, DKFZP564G013 protein, KIAA0470 gene product, KIAA1265 protein, and KIAA1363 protein. Expression of these eight genes were detected in 19 of the 20 cell lines analyzed, in support of their initial identification as differentially expressed genes by Affymetrix GeneChip.

Discussion

The 5-year-survival rate of patients with ductal adenocarcinoma of the pancreas is 4%, one of the lowest of any neoplasm. 1 Unfortunately, most patients are diagnosed at an advanced stage of disease that is incurable with existing therapy. The identification of genes differentially expressed in pancreatic cancer is critical to the development of novel therapeutics and new markers to detect this disease at an earlier, potentially curable stage. We used the Gene Logic Inc. BioExpress platform and Affymetrix GeneChip arrays to identify 97 genes differentially expressed in pancreatic carcinoma. The differential expression of 12 selected genes was confirmed by in situ hybridization, immunohistochemical labeling, or RT-PCR. These 97 genes may form the basis for the development of screening methods, diagnostic markers, and therapeutic targets for this highly lethal cancer.

The finding of 97 genes significantly overexpressed in infiltrating pancreatic duct carcinomas has immediate diagnostic potential. Overexpression of these novel tumor markers of pancreatic cancer can be used to differentiate infiltrating pancreatic duct adenocarcinoma from chronic pancreatitis, particularly in small tissue samples or cytological material. Our initial studies to validate these markers support this possibility. Immunohistochemical and in situ labeling for these differentially expressed genes, including fascin, topoisomerase IIα, and pleckstrin, specifically label the neoplastic epithelium of infiltrating pancreatic duct adenocarcinomas, but not by normal duct epithelium included in the same tissue sections.

These 97 differentially expressed markers of pancreatic cancer also have potential for the development of new screening tests for pancreatic cancer. For example, the development of tagged antibodies to one or more of these genes may be useful in the diagnostic radiological imaging of small primary pancreatic cancers or metastases before they become clinically apparent. Several of these genes were found to be membranous or secreted proteins, suggesting they may be shed into the blood or pancreatic secretions. If so, these proteins may also serve as diagnostic markers in such specimens, not only for identification of primary pancreatic cancers at an earlier stage, but also for the identification of recurrent disease at an earlier phase when it may be more responsive to adjuvant therapies. In addition, whereas use of any one marker individually may have a limited sensitivity or specificity in detecting pancreatic cancer, the development of a panel of markers may significantly increase the specificity of detecting clinically inapparent pancreatic cancers without decreasing the sensitivity. 28

The identification of these differentially expressed genes in pancreatic cancer also has important therapeutic applications for pancreatic cancer. For example, Jaffee and colleagues 29 have recently shown that cell-mediated immunotherapy can be both safe and effective in patients with pancreatic cancer, and each of the differentially expressed genes represents a potential target for the development of a cell-mediated vaccine. Similarly, as a number of the genes identified were found to encode for cell surface proteins (ie, OB-cadherin, CD83, claudin 1, prostate stem cell antigen, and retinoic acid-induced 3), these proteins hold promise for the development of antibody-based immunotherapy against pancreatic carcinoma. 7,30 In addition, signal transduction pathways in which these differentially expressed genes may function are potential targets for molecular therapeutics.

Overexpression of several of the genes found in pancreatic duct adenocarcinomas, such as ataxia-telangiectasia group D-associated protein (ATDC), topoisomerase IIα (TOP2A), and transglutaminase II (TGM2), may offer new insights into the biology of pancreatic cancer. ATDC protein has been shown to be induced by ionizing radiation and to suppress the radiosensitivity of ataxia telangiectasia (A-T) fibroblast cell lines. 31 The overexpression of ATDC in pancreatic cancers may therefore contribute to the radioresistance often observed for this tumor type. 32 Chemotherapeutic resistance in pancreatic cancers may also, in part, be contributed to by genes such as TOP2A or TGM2. 22 TOP2A is a target for several chemotherapeutic agents, including doxorubicin, that have been used for treatment of advanced pancreatic cancer. 33 The high levels of TOP2A expression in some pancreatic cancers might indicate amplification of this gene, an occurrence that contributes to the ineffectiveness of this chemotherapeutic agent in other tumor types. 22,33 Similarly, the overexpression of TGM2 has also been associated with drug resistance. 34

Other highly expressed genes in pancreatic cancer, such as interleukin-8 (IL-8) or the AML1 oncogene, may contribute to the aggressiveness of this tumor by alternative mechanisms. IL-8 overexpression in pancreatic cancers is thought to result from low oxygen tension and hypoxia of the tumor microenvironment. Consequently, IL-8 overexpression is thought to contribute to the aggressiveness of pancreatic cancer by inducing angiogenesis and promoting tumor metastasis. 35 The AML1 oncogene is a transcription factor that is commonly overexpressed by translocation in acute myeloid leukemias. 24 The overexpression of AML1 in pancreatic cancer suggests that this gene may also play a role in the pathogenesis of this tumor type. Thus, our finding of differentially expressed genes related to the aggressiveness of pancreatic cancers may be used to develop more effective therapeutic protocols for this tumor type.

Invasive pancreatic cancers represent an aggregate of diverse cell types, such as invasive neoplastic epithelial cells, fibroblasts, inflammatory cells, smooth muscle cells, endothelial cells, and cells of residual nonneoplastic pancreatic parenchyma. 9 Thus, comparative studies of gene expression in pancreatic cancer tissues and cell cultures provide valuable information of gene expression by the different cellular compartments of the neoplasm. By e-Northern analysis, we found that 29 genes were overexpressed in pancreas cancer tumor tissues only, as compared to cancer cell lines or normal tissues. Studies suggest that most of these genes are likely to be expressed by the nonneoplastic host stromal response to the neoplasm. 11 Genes with this pattern of expression (B pattern on e-Northern), which included hsp47; apolipoprotein C-1; collagens type 1α1, 1α2, and XIα1; osteopontin, and thrombospondin 2, highlight the prominent host stromal response characteristic of infiltrating pancreatic duct adenocarcinomas. In some instances, however, the gene expression identified in association with pancreas cancer tumor tissues does not always indicate stromal gene expression, but instead may reflect the gene expression of epithelial cells only when such cells are within a tumor in vivo (as opposed to the environment of cell culture). 11 Prostate stem cell antigen exemplifies this observation. It had a B pattern of expression by e-Northern analysis (Table 1) [triangle] , and a striking epithelial-specific pattern of expression by immunohistochemical labeling in a majority of resected infiltrating pancreatic cancers. 6

In summary, we have identified 97 differentially expressed genes in infiltrating pancreatic cancer, all with immediate potential utility for the development of screening tools, radiological imaging techniques, or therapies for pancreatic cancer. Approximately one-third of these 97 known genes have previously been reported in association with pancreatic cancer, and an additional 12 genes were confirmed by immunohistochemical labeling, in situ hybridization, or RT-PCR, thus validating our approach in identifying these new markers. These genes not only provide insights into the complex cellular biology of pancreatic duct adenocarcinoma, but also represent novel clinical targets for this tumor type.

Footnotes

Address reprint requests to Ralph H. Hruban, M.D., The Johns Hopkins Hospital-Surgical Pathology, The Harry and Jeanette Weinberg Building, 401 North Broadway, Room 2242, Baltimore, MD 21231-2410. E-mail: .ude.imhj@naburhr

Supported by the National Institutes of Health Specialized Programs of Research Excellence in Gastrointestinal Cancer (grant CA62924), the Michael Rolfe Fund for Pancreatic Cancer Research, and a grant from GeneLogic Inc.

Presented at the 70th meeting of the United States and Canadian Academy of Pathology, February 23 to March 1, 2002.

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