Purpose and Experimental Design: To identify cancer-related genes, the expression profiles of colorectal cancer cells and normal epithelial cells were examined and compared using laser microdissection and cDNA microarray analysis. From these combined techniques, several cancer-related genes, including TROP2, were identified. TROP2 is known as a calcium signal transducer and is highly expressed in several types of tumors. However, no studies have investigated the significance of TROP2 expression in colorectal cancer. Thus, the expression status of TROP2 was investigated in 74 colorectal cancer samples by quantitative real-time reverse transcription-PCR and immunohistochemical studies.

Results: Laser microdissection and cDNA microarray analysis showed that there were 84 overexpressed genes in cancer cells. One of the highly overexpressed genes was TROP2. Quantitative real-time reverse transcription-PCR showed that TROP2 expression in cancer samples was significantly higher than in normal samples (P < 0.001). The samples were divided into high (n = 26) and low (n = 48) TROP2 expression groups. The cases with high TROP2 expression showed a higher frequency of liver metastasis (P = 0.005) and more cancer-related death (P = 0.046). Those cases also had an inclination of deeper depth of invasion (P = 0.064) and more lymph node metastasis (P = 0.125). Interestingly, the patients with high TROP2 expression tumors had poorer prognosis (P = 0.0036). Multivariate analysis showed that TROP2 expression status was an independent prognostic factor (relative risk, 2.38; 95% confidence interval, 1.29-4.74; P < 0.01).

Conclusion:TROP2 is one of the cancer-related genes that correlates with biological aggressiveness and poor prognosis of colorectal cancer. Thus, TROP2 is a possible candidate gene for diagnosis and molecular target therapy of colorectal cancer.

Colorectal cancer is one of the most prevalent cancers in the world. In Japan, the disease rate of colorectal cancer patients has doubled over the past 20 years, with ∼75 of 100,000 people suffering from the disease today. Additionally, colorectal cancer has been the second cause of death in neoplastic disease (1). Recently, molecular target therapy and cancer immunotherapy for solid cancers have been introduced to the clinic (25). However, indications for these therapies are limited due to the low frequency of target gene expression, unstable effectiveness, and/or severe side effects (5, 6). Thus, there is a pressing need to explore novel cancer-specific genes to serve as molecular targets for therapy and cancer specific immunotherapy.

In this study, the gene expression profiles were compared between cancer cells and normal epithelial cells using the combined techniques of laser microdissection and cDNA microarray analysis to explore cancer-related or cancer-specific genes. From this analysis, several cancer-related genes were identified. Among them, TROP2 showed markedly different expression between cancer cells and normal epithelial cells.

Fornaro et al. cloned the TROP2 gene, which encodes a 35,709-Da type 1 transmembrane protein with a single transmembrane domain and is homologous to TROP1/KSA/GA733-2. Moreover, TROP2, a cell surface receptor, has been shown to play a role in regulating the growth of carcinoma cells (7). TROP2 is also responsible for gelatinous drop-like corneal dystrophy (8). TROP2 is expressed at high levels in human trophoblast cells and it has been reported as one of the highly specific genes to the tumors, such as ovarian and bladder cancers (912). On the other hand, our institute developed tumor-specific immunotherapy using MAGE peptide-pulsed dendritic cells (13). We are planning to expand the therapy using other tumor-specific genes. Depending on the outcome of this analysis, TROP2 may become a candidate gene. In addition, the clinical significance of the gene has not been studied in colorectal cancer. Thus, we investigated TROP2 expression in clinical samples of colorectal cancer to determine its clinicopathologic significance.

Tissue sampling, laser microdissection, and cDNA microarray analysis. The samples of cancer tissues and noncancerous tissues were obtained from 16 patients with colorectal cancer who underwent surgical resection in Kyushu University Hospital (Beppu, Japan). Written informed consent was obtained from all patients. Tumors and adjacent normal tissues were immediately embedded in Tissue-Tek OCT compound medium (Sakura, Tokyo, Japan) and were kept frozen at −80°C until laser microdissection was done. Serial 8-μm frozen sections were generated by a cryostat. Sections were mounted onto a foil-coated glass slide, 90 FOIL-SL25 (Leica Microsystems, Wetzlar, Germany) for laser microdissection. Slides were stained with H&E at room temperature and dehydrated with ethanol. The Application Solutions Laser Microdissection System (Leica Microsystems) was introduced for laser microdissection to obtain the cancer cells and normal epithelial cells and to discard the mesenchymal tissues. Laser microdissection was done for several sequential sections and total RNA was extracted from each section (14). As the extracted total RNA was insufficient for hybridization to the cDNA microarray, the RNA was subjected to T7-based RNA amplification (15). The purity and concentration of the amplified RNA were determined by an Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, CA) as described previously (14). In brief, high-quality amplified RNA run on a bioanalyzer typically has the shape of a hump peak and one marker peak, indicating no contamination of rRNA. Of 16 cancer and 16 normal microdissected and T7-based amplified RNA samples, 8 samples from the cancer sections and 10 samples from the normal sections were determined to be of sufficient quality. Each 8 RNA samples from cancer sections and the mixture of 10 RNA samples from normal epithelium were hybridized competitively to a cDNA microarray containing 12,814 genes. A list of genes on this cDNA microarray is available from http://www.agilent.com/chem/genelists.

Microarray analysis. After subtracting the local and global background signals, the expression values were calculated as the intensity of the dye-normalized red (Cy5) and green (Cy3) channel signals. The data flagged as poor quality according to the Agilent data extraction software were removed from the analysis. All data calculated by data extraction software were imported to the Rosetta Luminator system version 2.0 (Rosetta Biosoftware, Kirkland, WA). Candidate genes were selected that fulfilled the following criteria: the control (Cy3) intensity was <700, the fold changes were >2.5, and the P was <0.01 (14). Moreover, within the selected genes that met these criteria, genes that were up-regulated in three or more RNA samples (eight total samples) were further analyzed.

Semiquantitative real-time PCR. The semiquantitative real-time reverse transcription-PCR assay used 74 operatively resected paired cancer and normal samples that were not used for microarray analysis. Total RNA was extracted from each bulk sample and cDNA was synthesized from 8.0 μg total RNA as described previously (16). The purity and concentration of total RNA were determined using an Agilent 2100 Bioanalyzer. The following primers were used to amplify the TROP2 gene: sense primer 5′-GCCTACTACTTCGAGAGGGACA-3′ and antisense primer 5′-CAGTTCCTTGATCTCCACCTTC-3′. The glyceraldehyde-3-phosphate dehydrogenase (sense primer 5′-TTGGTATCGTGGAAGGACTCA-3′ and antisense primer 5′-TGTCATCATATTTGGCAGGTTT-3′) gene was used as an internal control. The reaction was done in a LightCycler system (Roche Applied Science, Indianapolis, IN) using the LightCycler FastStart DNA Master SYBR Green I kit (Roche Diagnostics, Mannheim, Germany). Details of each reaction are described elsewhere (17). Briefly, thermal cycling for all genes was initiated with a denaturation step of 95°C for 10 minutes and then consisted of 40 cycles at 95°C for 10 seconds, 65°C (60°C for glyceraldehyde-3-phosphate dehydrogenase) for 10 seconds, and 72°C for each optimal length (1 second/25 bp). All calculated concentrations of target genes were divided by the amount of the endogenous reference (glyceraldehyde-3-phosphate dehydrogenase) to obtain the normalized TROP2 expression values. Each assay was done in triplicate.

Immunohistochemistry. Of 74 cases, immunohistochemical staining was done in 34 selected cases. Immunohistochemical studies of TROP2 were done on formalin-fixed, paraffin-embedded surgical sections. After deparaffinization and blocking, the antigen-antibody reaction was incubated overnight at 4°C. The LSAB2 kit (DAKO, Kyoto, Japan) was applied to detect the signal of the TROP2 antigen-antibody reaction. All sections were counterstained with hematoxylin. The purified goat polyclonal antibody against the purified recombinant human TROP2 extracellular domain (R&D Systems, Inc., Minneapolis, MN) was used at 5 μg/mL.

Statistical analysis. Quantitative real-time reverse transcription-PCR data were calculated with JMP 5 for Windows software (SAS Institute, Inc., Cary, NC). Differences between groups were estimated using the Student's t test and the χ2 test. The survival curves were estimated by the Kaplan-Meier method and the comparison between the curves was made by the log-rank test. The relative risk (RR) was calculated using the Cox proportional hazards model. A probability level of 0.05 was chosen for statistical significance.

Microarray analysis. In the microarray analysis, 84 genes were identified that had a higher expression level in cancer cells than in normal epithelial cells. Among these genes, some are involved with signal transduction (27.4%), transcription (16.7%), transport (13.1%), metabolism (4.8%), cell adhesion (4.8%), secretion (3.6%), apoptosis (3.6%), and an unknown function (16.7%; Table 1). Of these genes, some were already reported as associated with colorectal cancer aggressiveness, such as MMP7 (18, 19), MMP11 (20, 21), CD44 (2224), CD61 (25, 26), CRIPTO (27, 28), ENC1 (29), SLC7A5 (30), DPEP1 (31), and activin A (32, 33).

Table 1.

Overexpressed genes in colorectal cancer

Gene nameSymbolsSystematic codeLocusFold overexpression
Dipeptidase 1 (renal) DPEP1 J05257 16q24,3 17.59 
Teratocarcinoma-derived growth factor 1 CRIPTO AU124747 3p21,31 8.35 
Human megakaryocyte-enhanced gene transcript 1 protein MEGT1 AF195764 6p21,33 8.22 
Cell surface glycoprotein Trop-2 TROP2 BG259957 1p32,1 7.84 
Integrin β3 (platelet glycoprotein IIIa, antigen CD61) CD61 NM_000212 17q21,32 7.12 
Matrix metalloproteinase-7 (matrilysin, uterine) MMP7 NM_002423 11q21-q22 6.71 
Phosphoprotein C8FW TRIB3 BG387820 20p13 6.56 
Human cell surface glycoprotein CD44 (CD44) gene CD44 L05411 11p13 6.08 
Epiregulin EREG BG235918 4q13,3 5.71 
Matrix metalloproteinase-11 (stromelysin 3) MMP11 AW301093 22q11,23 5.70 
Human clone PP1195 unknown mRNA — AF217970 8p23,1 4.80 
Human cDNA FLJ20093fis, clone COL04263 ANKRD10 AK000100 13q34 4.73 
Cadherin 3, type 1, P-cadherin (placental) CDH3 NM_001793 1q22,1 4.63 
Fatty acid–binding protein 6, ileal (gastrotropin) FABP6 X90908 5q23,35 4.48 
KIAA0546 protein — AB011118 12q15 4.36 
Ataxia telangiectasia group D–associated protein TRIM29 AF230388 11q22-q23 4.24 
TAR (HIV) RNA-binding protein 1 TARBP1 U38847 1q42,3 4.06 
Expressed sequence tags PPAT AA442070 4q12 3.82 
Expressed sequence tags AK126318 BE672109 17q23,2 3.68 
Human mRNA; cDNA DKFZp564C053 — AL049246 3q23 3.60 
Solute carrier family 12, member 2 SLC12A2 U30246 5q23,2 3.58 
Human Na,K-ATPase α-1 subunit gene ATP1A1 M30309 1p13,1 3.56 
Ectodermal-neural cortex (with BTB-like domain) ENC1 BC000418 5q12-13,3 3.47 
Bone morphogenetic protein 7 (osteogenic protein 1) BMP7 BE395650 20q13,31 3.42 
Solute carrier family 7, member 5 SLC7A5 M80244 16q24,2 3.42 
Human DNA for apoER2 LRP8 D86407 1p32,3 3.41 
Human mRNA for KIAA0761 protein MCLC AB018304 1p13,3 3.40 
Human activin β-A subunit INHBA X57579 7p14,1 3.39 
Deleted in lymphocytic leukemia, 2 DLEU2 AW978447 13q14,2 3.38 
Human mRNA for nuclear pore complex protein NUP107 AJ295745 12q15 3.33 
Growth factor receptor-bound protein 7 GRB7 AU148656 17q12 3.32 
Human mRNA for KIAA0619 protein ROCK2 AB014519 2p25,1 3.32 
Meiotic recombination (Saccharomyces cerevisiae) 11 homologue A MRE11A AF073362 11q21 3.29 
Chromosome 20 open reading frame 119 TOMM34 AK026760 20q13,12 3.26 
ZFM1 protein alternatively spliced product SF1 D26121 11q13 3.24 
Mevalonate kinase (mevalonic aciduria) MVLK BG474232 12q24,11 3.22 
Oviductal glycoprotein 1, 120 kDa (mucin 9, oviductin) OVGP1 NM_002557 1p13,2 3.16 
Zinc finger protein 195 BRDT AW025438 1p22,1 3.14 
Centromere protein F (350/400 kDa, mitosin) CENPF U19769 1q41 3.12 
Cadherin 6, type 2, K-cadherin (fetal kidney) CDH6 AU149929 5p15,1-p14 3.09 
Solute carrier family 11, member 2 SLC11A2 AI888673 12q13,12 3.08 
Zinc finger, X-linked, duplicated A ZXDA AL031115 Xp11,1 3.07 
Runt-related transcription factor 1 RUNX1 D43969 21q22,12 3.06 
Expressed sequence tags TDRD9 AA844124 14q32 3.03 
Spectrin, α, erythrocytic 1 (elliptocytosis 2) SPTA1 AA703344 1q23,1 3.02 
Human transcription factor SL1 (by similarity) TAF1A AK001054 1q41 3.01 
Glycoprotein glucosyltransferase precursor (by similarity) UGCGL2 AK001735 13q32,1 2.98 
Formyl peptide receptor-like 1 FPRL1 BG541691 19q13,41 2.93 
Guanine nucleotide binding protein 4 GNG4 AW593228 1q42,3 2.93 
Prostaglandin E receptor 4 (subtype EP4) PTGER4 NM_000958 5p13,1 2.93 
Human cDNA FLJ10517fis, clone NT2RP2000812 ASPM AK001379 1q31,3 2.92 
Human G-protein-coupled receptor gene GPR19 U55312 12p132 2.88 
Human mRNA; cDNA DKFZp566P1124 — AL110236 11q14,1 2.87 
Human thiazide-sensitive NaCl cotransporter SLC12A3 U44128 16q13 2.87 
KIAA0410 gene product NUPL1 BI599177 13q12,13 2.87 
High-mobility group protein isoform I-C HMGA2 BG250825 12q14,3 2.83 
Human, paired box gene 9 PAX9 BC001159 14q13,3 2.82 
Guanidinoacetate N-methyltransferase GAMT NM_000156 19p13,3 2.81 
Karyopherin α3 KPNA3 D89618 13q14,2 2.80 
KIAA0008 gene product DLG7 BI087140 14q22,3 2.79 
Nucleophosmin/nucleoplasmin 3 NPM3 AI631542 10q24,31 2.77 
Zinc finger protein 200 ZNF200 NM_003454 16p13,3 2.75 
Ras-related associated with diabetes RRAD AI186786 16q22,1 2.73 
Human metabotropic glutamate receptor 8 GRM8 U92459 7q31,33 2.70 
Zinc finger protein homologous to Zfp91 in mouse ZFP91 AB057443 11q12,1 2.70 
Human G-protein-coupled receptor GPR86 GPR86 AF295368 3q25,1 2.67 
Nuclear receptor subfamily 1, group I, member 3 NR1I3 Z30425 1q23,3 2.66 
Human homeobox gene HOXB AF287967 17q21,32 2.62 
Human interleukin-17 IL17 U32659 6p12 2.62 
Zinc finger protein 184 (Kruppel-like) ZNF184 BG254958 6p22,1 2.61 
Macaque somatostatin I SST M19318 3q27,3 2.60 
Expressed sequence tags PTPN22? AA401425 1p13,2 2.58 
Human ZNF43 ZNF43 X59244 19p12 2.57 
Homer, neuronal immediate early gene, 1B HOMER1 BI858644 5q14,1 2.55 
Homo sapiens clone 23903 mRNA sequence — AF035281 7q36,1 2.55 
Natural killer cell group 7 sequence NKG7 S69115 19q13,41 2.55 
Expressed sequence tags — AI025099 19p13,2 2.54 
Human mRNA for CSR1 SCARA3 AB007829 8p21,1 2.53 
Neuronal pentraxin II NPTX BC009924 7q22,1 2.52 
KIAA0322 protein NEDL1 AB002320 7p14,1-p13 2.51 
Cyclin E1 CCNE1 BG761079 19q12 2.50 
Death-associated transcription factor 1 DATF1 AB002331 20q13,33 2.50 
Human DNA for single-minded gene 2 — D85922 21q22,13 2.50 
RasGAP-related protein IQGAP2 AAB37765 5q13,3 2.50 
Gene nameSymbolsSystematic codeLocusFold overexpression
Dipeptidase 1 (renal) DPEP1 J05257 16q24,3 17.59 
Teratocarcinoma-derived growth factor 1 CRIPTO AU124747 3p21,31 8.35 
Human megakaryocyte-enhanced gene transcript 1 protein MEGT1 AF195764 6p21,33 8.22 
Cell surface glycoprotein Trop-2 TROP2 BG259957 1p32,1 7.84 
Integrin β3 (platelet glycoprotein IIIa, antigen CD61) CD61 NM_000212 17q21,32 7.12 
Matrix metalloproteinase-7 (matrilysin, uterine) MMP7 NM_002423 11q21-q22 6.71 
Phosphoprotein C8FW TRIB3 BG387820 20p13 6.56 
Human cell surface glycoprotein CD44 (CD44) gene CD44 L05411 11p13 6.08 
Epiregulin EREG BG235918 4q13,3 5.71 
Matrix metalloproteinase-11 (stromelysin 3) MMP11 AW301093 22q11,23 5.70 
Human clone PP1195 unknown mRNA — AF217970 8p23,1 4.80 
Human cDNA FLJ20093fis, clone COL04263 ANKRD10 AK000100 13q34 4.73 
Cadherin 3, type 1, P-cadherin (placental) CDH3 NM_001793 1q22,1 4.63 
Fatty acid–binding protein 6, ileal (gastrotropin) FABP6 X90908 5q23,35 4.48 
KIAA0546 protein — AB011118 12q15 4.36 
Ataxia telangiectasia group D–associated protein TRIM29 AF230388 11q22-q23 4.24 
TAR (HIV) RNA-binding protein 1 TARBP1 U38847 1q42,3 4.06 
Expressed sequence tags PPAT AA442070 4q12 3.82 
Expressed sequence tags AK126318 BE672109 17q23,2 3.68 
Human mRNA; cDNA DKFZp564C053 — AL049246 3q23 3.60 
Solute carrier family 12, member 2 SLC12A2 U30246 5q23,2 3.58 
Human Na,K-ATPase α-1 subunit gene ATP1A1 M30309 1p13,1 3.56 
Ectodermal-neural cortex (with BTB-like domain) ENC1 BC000418 5q12-13,3 3.47 
Bone morphogenetic protein 7 (osteogenic protein 1) BMP7 BE395650 20q13,31 3.42 
Solute carrier family 7, member 5 SLC7A5 M80244 16q24,2 3.42 
Human DNA for apoER2 LRP8 D86407 1p32,3 3.41 
Human mRNA for KIAA0761 protein MCLC AB018304 1p13,3 3.40 
Human activin β-A subunit INHBA X57579 7p14,1 3.39 
Deleted in lymphocytic leukemia, 2 DLEU2 AW978447 13q14,2 3.38 
Human mRNA for nuclear pore complex protein NUP107 AJ295745 12q15 3.33 
Growth factor receptor-bound protein 7 GRB7 AU148656 17q12 3.32 
Human mRNA for KIAA0619 protein ROCK2 AB014519 2p25,1 3.32 
Meiotic recombination (Saccharomyces cerevisiae) 11 homologue A MRE11A AF073362 11q21 3.29 
Chromosome 20 open reading frame 119 TOMM34 AK026760 20q13,12 3.26 
ZFM1 protein alternatively spliced product SF1 D26121 11q13 3.24 
Mevalonate kinase (mevalonic aciduria) MVLK BG474232 12q24,11 3.22 
Oviductal glycoprotein 1, 120 kDa (mucin 9, oviductin) OVGP1 NM_002557 1p13,2 3.16 
Zinc finger protein 195 BRDT AW025438 1p22,1 3.14 
Centromere protein F (350/400 kDa, mitosin) CENPF U19769 1q41 3.12 
Cadherin 6, type 2, K-cadherin (fetal kidney) CDH6 AU149929 5p15,1-p14 3.09 
Solute carrier family 11, member 2 SLC11A2 AI888673 12q13,12 3.08 
Zinc finger, X-linked, duplicated A ZXDA AL031115 Xp11,1 3.07 
Runt-related transcription factor 1 RUNX1 D43969 21q22,12 3.06 
Expressed sequence tags TDRD9 AA844124 14q32 3.03 
Spectrin, α, erythrocytic 1 (elliptocytosis 2) SPTA1 AA703344 1q23,1 3.02 
Human transcription factor SL1 (by similarity) TAF1A AK001054 1q41 3.01 
Glycoprotein glucosyltransferase precursor (by similarity) UGCGL2 AK001735 13q32,1 2.98 
Formyl peptide receptor-like 1 FPRL1 BG541691 19q13,41 2.93 
Guanine nucleotide binding protein 4 GNG4 AW593228 1q42,3 2.93 
Prostaglandin E receptor 4 (subtype EP4) PTGER4 NM_000958 5p13,1 2.93 
Human cDNA FLJ10517fis, clone NT2RP2000812 ASPM AK001379 1q31,3 2.92 
Human G-protein-coupled receptor gene GPR19 U55312 12p132 2.88 
Human mRNA; cDNA DKFZp566P1124 — AL110236 11q14,1 2.87 
Human thiazide-sensitive NaCl cotransporter SLC12A3 U44128 16q13 2.87 
KIAA0410 gene product NUPL1 BI599177 13q12,13 2.87 
High-mobility group protein isoform I-C HMGA2 BG250825 12q14,3 2.83 
Human, paired box gene 9 PAX9 BC001159 14q13,3 2.82 
Guanidinoacetate N-methyltransferase GAMT NM_000156 19p13,3 2.81 
Karyopherin α3 KPNA3 D89618 13q14,2 2.80 
KIAA0008 gene product DLG7 BI087140 14q22,3 2.79 
Nucleophosmin/nucleoplasmin 3 NPM3 AI631542 10q24,31 2.77 
Zinc finger protein 200 ZNF200 NM_003454 16p13,3 2.75 
Ras-related associated with diabetes RRAD AI186786 16q22,1 2.73 
Human metabotropic glutamate receptor 8 GRM8 U92459 7q31,33 2.70 
Zinc finger protein homologous to Zfp91 in mouse ZFP91 AB057443 11q12,1 2.70 
Human G-protein-coupled receptor GPR86 GPR86 AF295368 3q25,1 2.67 
Nuclear receptor subfamily 1, group I, member 3 NR1I3 Z30425 1q23,3 2.66 
Human homeobox gene HOXB AF287967 17q21,32 2.62 
Human interleukin-17 IL17 U32659 6p12 2.62 
Zinc finger protein 184 (Kruppel-like) ZNF184 BG254958 6p22,1 2.61 
Macaque somatostatin I SST M19318 3q27,3 2.60 
Expressed sequence tags PTPN22? AA401425 1p13,2 2.58 
Human ZNF43 ZNF43 X59244 19p12 2.57 
Homer, neuronal immediate early gene, 1B HOMER1 BI858644 5q14,1 2.55 
Homo sapiens clone 23903 mRNA sequence — AF035281 7q36,1 2.55 
Natural killer cell group 7 sequence NKG7 S69115 19q13,41 2.55 
Expressed sequence tags — AI025099 19p13,2 2.54 
Human mRNA for CSR1 SCARA3 AB007829 8p21,1 2.53 
Neuronal pentraxin II NPTX BC009924 7q22,1 2.52 
KIAA0322 protein NEDL1 AB002320 7p14,1-p13 2.51 
Cyclin E1 CCNE1 BG761079 19q12 2.50 
Death-associated transcription factor 1 DATF1 AB002331 20q13,33 2.50 
Human DNA for single-minded gene 2 — D85922 21q22,13 2.50 
RasGAP-related protein IQGAP2 AAB37765 5q13,3 2.50 

TROP2 expression in colorectal cancer samples and corresponding normal tissues. Quantitative real-time reverse transcription-PCR was done on 74 paired samples to show TROP2 mRNA expression in clinical samples. Quantitative real-time reverse transcription-PCR showed that TROP2 expression in cancer samples was significantly higher (averaged expression values of cancer were 8.34-fold higher; P < 0.0001) than those in normal samples (Fig. 1). Figure 2 shows the results of immunohistochemical studies of TROP2 expression in representative clinical samples of well-differentiated adenocarcinoma (Fig. 2A), moderately differentiated adenocarcinoma (Fig. 2B), poorly differentiated adenocarcinoma (Fig. 2C), and mucinous adenocarcinoma (Fig. 2D). The majority of the TROP2 expression was observed in the cancer cells, the minority in stromal cells, and none in the normal colonic epithelium. Immunohistochemical studies revealed that the staining was strong (n = 7), moderate (n = 9), or weak (n = 18) in the tumor cells, whereas very weak or none in the normal cells in all 34 cases. There was a significant difference in immuohistochemical staining between the tumor and the normal samples (P < 0.01), and the data are similar to those obtained from mRNA expression analysis. All 16 tumors with strong or moderate immunohistochemical expression showed higher mRNA expression values (>0.2). The expression of TROP2 mRNA relatively associated with protein expression. Among the undifferentiated cell types, several regions of the cancer had strong immunohistochemical staining for TROP2 (Fig. 2C and D).

Fig. 1.

Quantitative reverse transcription-PCR analysis showed substantial differences in TROP2 expression between cancer and normal samples of 74 clinical cases. The cancer samples showed higher TROP2 expression than the normal samples (P < 0.001). Horizontal line, expression value of 0.2 (P, Student's t test).

Fig. 1.

Quantitative reverse transcription-PCR analysis showed substantial differences in TROP2 expression between cancer and normal samples of 74 clinical cases. The cancer samples showed higher TROP2 expression than the normal samples (P < 0.001). Horizontal line, expression value of 0.2 (P, Student's t test).

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Fig. 2.

Immunohistochemistry of TROP2 expression in representative examples of colorectal cancer. A, well-differentiated adenocarcinoma. B, moderately differentiated adenocarcinoma. C, poorly differentiated adenocarcinoma, D, mucinous adenocarcinoma. TROP2 protein is strongly expressed in cancer cells. (Original magnification, ×40.)

Fig. 2.

Immunohistochemistry of TROP2 expression in representative examples of colorectal cancer. A, well-differentiated adenocarcinoma. B, moderately differentiated adenocarcinoma. C, poorly differentiated adenocarcinoma, D, mucinous adenocarcinoma. TROP2 protein is strongly expressed in cancer cells. (Original magnification, ×40.)

Close modal

High TROP2 expression correlates with clinicopathologic variables. The experimental samples were divided into two groups [the high expression group with TROP2 expression values (>0.2; n = 26) and the remaining samples in the low expression group (n = 48)] to investigate TROP2 expression in association with clinicopathologic variables (Table 2). The border of the two groups was defined by an upper limit, including 95% of the expression values of the normal samples. The incidence in liver metastasis was significantly higher (P = 0.005) in the high expression group (9 of 26, 34.6%) than in the low expression group (4 of 48, 8.3%), and the incidence of cancer death was significantly higher (P = 0.046) in the high expression group (9 of 26, 34.6%) than in the low expression group (7 of 48, 14.6%). The high expression group also had inclinations of deeper invasion (P = 0.064) and more lymph node metastasis (P = 0.125) than the low expression group.

Table 2.

Clinicopathologic variables and TROP2 mRNA expression in 74 colorectal cancers

VariablesExpression
P
High (n = 26)Low (n = 48)
Age 66.6 ± 3.8 67.5 ± 2.8 0.701 
Sex    
    Male 14 30 0.470 
    Female 12 18  
Histologic cell type    
    Well 18 0.420 
    Moderately 19 29  
    Poorly and others  
Tumor site*    
    Right colon 13 0.498 
    Left colon 17 35  
Serosal invasion    
    Absent 14 36 0.064 
    Present 12 12  
Lymph node metastasis    
    Absent 12 31 0.125 
    Present 14 17  
Lymphatic permeation    
    Absent 13 29 0.388 
    Present 13 19  
Venous permeation    
    Absent 18 39 0.241 
    Present  
Liver metastasis    
    Absent 17 44 0.005 
    Present  
Cancer-related death    
    Alive 17 41 0.046 
    Death  
VariablesExpression
P
High (n = 26)Low (n = 48)
Age 66.6 ± 3.8 67.5 ± 2.8 0.701 
Sex    
    Male 14 30 0.470 
    Female 12 18  
Histologic cell type    
    Well 18 0.420 
    Moderately 19 29  
    Poorly and others  
Tumor site*    
    Right colon 13 0.498 
    Left colon 17 35  
Serosal invasion    
    Absent 14 36 0.064 
    Present 12 12  
Lymph node metastasis    
    Absent 12 31 0.125 
    Present 14 17  
Lymphatic permeation    
    Absent 13 29 0.388 
    Present 13 19  
Venous permeation    
    Absent 18 39 0.241 
    Present  
Liver metastasis    
    Absent 17 44 0.005 
    Present  
Cancer-related death    
    Alive 17 41 0.046 
    Death  
*

Relative to splenic flexure.

Cox proportional model.

Survival analysis. The 5-year actuarial overall survival rates in patients with high TROP2 mRNA expression levels and those with low levels were 48.5% and 83.3%, respectively. Moreover, the high expression group also showed poorer prognosis in the Kaplan-Meier survival curve (P = 0.0036; Fig. 3). Table 3 revealed the result of RR and the 95% confidence interval (95% CI) by the Cox proportional hazards model. Table 3A shows the univariate analysis for all clinicopathologic variables. Regarding these variables, lymph node metastasis (RR, 2.711; 95% CI, 1.526-5.681; P = 0.0004), liver metastasis (RR, 2.409; 95% CI, 1.381-4.059; P = 0.003), depth of invasion (RR, 2.127; 95% CI, 1.276-3.675; P = 0.0041), histologic grade (RR, 2.097; 95% CI, 1.098-5.313; P = 0.0225), and high TROP2 expression (RR, 2.026; 95% CI, 1.216-3.501; P = 0.0071) were statistically significant. Table 3B shows the result of multivariate analysis in the final model, which included lymph node metastasis, depth of invasion, histologic grade, tumor site, and lymphatic permeation. In this model, the variable of high TROP2 expression was an independent prognostic predictor for the patients with colorectal cancer (RR, 2.38; 95% CI, 1.29-4.74; P = 0.005; Table 3B). Of the variables that were entered in the multivariate analysis, the variable of liver metastasis was excluded because there was a significant correlation with the variable of high TROP2 expression.

Fig. 3.

Kaplan-Meier survival curves of patients with colorectal cancer according to the status of TROP2 expression. Patients with high TROP2 mRNA expression (bold line) showed significantly poorer prognosis than those with low TROP2 mRNA expression (dotted line; P = 0.0036, log-rank test).

Fig. 3.

Kaplan-Meier survival curves of patients with colorectal cancer according to the status of TROP2 expression. Patients with high TROP2 mRNA expression (bold line) showed significantly poorer prognosis than those with low TROP2 mRNA expression (dotted line; P = 0.0036, log-rank test).

Close modal
Table 3.

VariableRR (95% CI)P*
(A) Univariate analysis   
    Lymph node metastasis (present) 2.71 (1.53-5.68) 0.000 
    Liver metastasis (present) 2.41 (1.38-4.06) 0.003 
    Serosal invasion (present) 2.13 (1.28-3.68) 0.004 
    Histologic cell type 2.10 (1.10-5.31) 0.023 
    High TROP2 2.03 (1.22-3.50) 0.007 
    Tumor site (right colon) 1.55 (0.92-2.59) 0.098 
    Lymphatic permeation (present) 1.54 (0.93-2.67) 0.095 
    Gender (female) 1.30 (0.78-2.20) 0.310 
    Age at surgery (>65 y) 1.27 (0.74-2.41) 0.402 
    Venous permeation (present) 1.13 (0.59-1.93) 0.686 
(B) Multivariate analysis   
    High TROP2 2.38 (1.29-4.74) 0.005 
    Lymph node metastasis (present) 2.04 (1.08-4.48) 0.027 
    Histologic cell type 2.00 (0.97-5.29) 0.060 
    Tumor site (right colon) 1.99 (1.06-3.89) 0.031 
    Serosal invasion (present) 1.70 (0.98-3.08) 0.059 
    Lymphatic permeation (present) 0.92 (0.50-1.70) 0.788 
VariableRR (95% CI)P*
(A) Univariate analysis   
    Lymph node metastasis (present) 2.71 (1.53-5.68) 0.000 
    Liver metastasis (present) 2.41 (1.38-4.06) 0.003 
    Serosal invasion (present) 2.13 (1.28-3.68) 0.004 
    Histologic cell type 2.10 (1.10-5.31) 0.023 
    High TROP2 2.03 (1.22-3.50) 0.007 
    Tumor site (right colon) 1.55 (0.92-2.59) 0.098 
    Lymphatic permeation (present) 1.54 (0.93-2.67) 0.095 
    Gender (female) 1.30 (0.78-2.20) 0.310 
    Age at surgery (>65 y) 1.27 (0.74-2.41) 0.402 
    Venous permeation (present) 1.13 (0.59-1.93) 0.686 
(B) Multivariate analysis   
    High TROP2 2.38 (1.29-4.74) 0.005 
    Lymph node metastasis (present) 2.04 (1.08-4.48) 0.027 
    Histologic cell type 2.00 (0.97-5.29) 0.060 
    Tumor site (right colon) 1.99 (1.06-3.89) 0.031 
    Serosal invasion (present) 1.70 (0.98-3.08) 0.059 
    Lymphatic permeation (present) 0.92 (0.50-1.70) 0.788 
*

Cox proportional model.

Indicates moderately and poorly differentiated adenocarcinoma.

Relative to splenic flexure.

For further understanding of cancer biology, it is important to identify cancer-related genes. To find such genes, a combination of techniques, laser microdissection and cDNA microarray analysis, was applied to clinical samples. Laser microdissection can isolate cancer cells from tumor tissue that consists of mixed populations of carcinoma cells and stromal cells, such as fibroblasts, macrophages, and lymphocytes (16). RNA extracted from these tissues was subjected to rigorous procedures for quality to ensure its utility in cDNA microarray analysis. Almost 50% to 60% of the frozen surgical samples passed the RNA quality check according to our experience. Through using both laser microdissection and microarray analysis, 84 cancer-related genes were identified that were overexpressed in cancer cells compared with normal cells in the colon.

This study showed that TROP2 was one of the most highly expressed genes in colorectal cancer cells compared with normal colon tissue. TROP2 is reported to be highly expressed in several types of cancers. For example, Nakajima et al. revealed that TROP2 is overexpressed in esophageal cancer, and the titer of serum TROP2 antibody correlated with tumor size (34). With respect to colon cancer, Kanai et al. studied the expression of mRNA of genes altered by 5-azacytidine treatment in cancer cell lines and found that TROP2 was overexpressed in clinical colorectal cancers (35). However, they did not investigate the correlation between the TROP2 expression status and the clinicopathologic factors. Our study of a comparison of both groups showed a significant difference in liver metastasis, and this was associated with cancer-related death. Although there were no significant differences in the other pathologic factors examined, there was a tendency in serosal invasion between the groups. Therefore, these results suggest that high TROP2 expression has an association with biological aggressiveness of colorectal cancer.

The reason why the cancers with high TROP2 expression show aggressive behavior is unclear. There are some studies suggesting the biological mechanism of high TROP2 expression associated with the aggressiveness of cancer. Fornaro et al. suggested that TROP2 not only acts as a calcium signal transducer but also has a receptor function activity. TROP2 has homology to serum insulin-like growth factor-II–binding proteins and has a conservative structure for potential cytoplasmic phosphorylation sites (7). Basu et al. revealed that the phosphorylation occurred on Ser303 by protein kinase C (36).

We are investigating the predicted function of TROP2 gene and taking notice of its intracellular domain of phosphatidylinositol 4,5-bisphosphate–binding sequence. Phosphatidylinositol 4,5-bisphosphate is the most important lipid in the cytoplasmic leaflet of the plasma membrane and is responsible for a wide range of membrane-related phenomena that consist of the functions of endocytosis, exocytosis, cytoskeletal attachment, enzyme activation, actin-binding protein, production of three second messengers, ion-channel activation, and binding site for PH and other domains (37). EI Sewedy et al. investigated that the phosphatidylinositol 4,5-bisphosphate–binding site of TROP2 has an ability of being phosphorylated by protein kinase C (38); thus, the signal transduction through TROP2 has a possibility of causing the aggressiveness of cancer cells. Consequently, we assume that the TROP2 gene has a receptor activity and influences the aggressive behavior of colorectal cancer cells during tumor progression. To investigate its biological function, we are planning the following experiments: (a) Establishment of the transfectant of the TROP2 gene to clarify the dominant proliferation and progression of invasiveness. (b) Interference of the TROP2 gene expression by small interfering RNA (or short hairpin RNA) to examine the alteration of its proliferation and invasiveness. (c) Verification of the binding activity between TROP2 and phosphatidylinositol 4,5-bisphosphate and exploration of the alteration of the binding activity by protein kinase C. (d) Utilization of the transfectant with mutant TROP2 gene, which lacks the phosphatidylinositol 4,5-bisphosphate–binding site to compare the result of in vitro analysis with that of experiment 1. Thus, high TROP2 expression would contribute to biological aggressiveness of cancer cells through paracrine and autocrine signaling pathway. Nonetheless, more precise understanding of the mechanism that is responsible for the aggressiveness is necessary.

Because TROP2 is overexpressed in colon cancer cells and not expressed in normal cells, it is a novel target for treatment. In fact, Mangino G et al. showed that TROP2 is one of the target molecules recognized by human CTLs (39). We investigated the effectiveness of cancer-specific immunotherapy using MAGE antigen as a dendritic cell therapy (13, 4042). However, the patients that can be treated with this therapy are limited because the patients must meet conditions, such as adequate HLA typing and positive MAGE gene expression in the tumor. The percentage of such patients is ∼10% to 40% in several types of cancers. If TROP2 can become an immunotherapeutic molecular target, the combined specific immunotherapy with MAGE and TROP2 genes would be a powerful new treatment modality for colorectal cancer patients.

In conclusion, our results indicated that TROP2 mRNA and protein were overexpressed in colorectal cancer cells and high TROP2 expression status correlated with liver metastasis and poor prognosis. These findings suggest that TROP2 is one of the cancer-related genes that are associated with cancer aggressiveness and is one of the predictors of survival in patients with colorectal cancer. The overexpression of this gene has a possible role for assessment of the postoperative adjuvant therapy of colorectal cancer patients. Furthermore, this gene will be useful not only for diagnostics but also molecular targeted therapy.

Grant support: Core Research for Evolutional Science and Technology, Japan Science and Technology Agency; Uehara Memorial Foundation; Japan Society for the Promotion of Science Grant-in-Aid for Scientific Research (grants 17015032, 17109013, 17591411, 17591413, 17015032, and 16390381).

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

We thank Dr. S. Tanaka for helpful discussion and T. Shimooka, K. Ogata, M. Oda, M. Kasagi, and Y. Nakagawa for excellent technical assistance.

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