Screening and identification of differentially expressed transcripts in circulating cells of prostate cancer patients using suppression subtractive hybridization
© Li et al; licensee BioMed Central Ltd. 2005
Received: 13 June 2005
Accepted: 08 August 2005
Published: 08 August 2005
Tumor metastasis and changes in host immunosurveillance are important components in cancer development. Tumor cell invasion into the bloodstream is an essential step for systemic metastasis. Currently, the detection of tumor cells in the circulation is mainly dependent upon the utilization of known epithelial cell markers. However, expression of these molecules is not limited to cancer patients; healthy people also have a small number of epithelial cells in their circulation. Utilizing these markers to detect circulating tumor cells (CTCs) cannot adequately explain the mechanisms of tumor cell survival or their development of metastatic potential in peripheral blood. The immune system can also evolve along with the cancer, actually promoting or selecting the outgrowth of tumor variants. Unfortunately, both metastasis and immunosurveillance remain mysterious and are debatable because we have yet to define the molecules that participate in these processes. We are interested in identifying the existence of expressed genes, or mRNA species, that are specifically associated with circulating cells of cancer-bearing patients using prostate cancer (PCa) as a model.
We established two comprehensive subtracted cDNA libraries using a molecular technique called suppression subtractive hybridization. This technique selectively amplifies transcripts that are specifically expressed in circulating cells of either PCa patients or healthy men. Following sequencing reaction, we showed that 17 out of 23 (73.9%) sequenced clones did not match any mRNAs in the GenBank database. This result suggests that genes associated with alterations in circulating cells of cancer-bearing patients are largely unknown. Semi-quantitative RT-PCR confirmed that two genes are up-regulated in circulating cells of PCa patients, whereas another two genes are down-regulated in the same patients.
The comprehensive gene expression analysis is capable of identifying differentially expressed genes in circulating cells of healthy men and PCa patients. We did not attempt to enrich specific cell types in this study because phenotypes of CTCs and subsets of leukocytes participating in immunosurveillance remain largely unknown. Continuous studies of these differentially expressed genes will eventually lead us to understand the mechanisms involved in tumor metastasis and immune modulation during cancer development.
Keywordscirculating tumor cells suppression subtractive hybridization prostate cancer
Metastasis is a sequential, multi-step process in which tumor cells detach from the primary tumor, migrate through the basement membrane and extracellular matrix, and invade the lymphatic and/or blood systems . This is followed by the establishment of secondary tumors at distant sites. It has been suggested that tumor cell invasion into the bloodstream can occur earlier than the time of primary diagnosis . The ability to detect occult tumor cells with metastatic potential could have a substantial clinical impact on the management of cancer patients. Most, if not all, markers developed to detect occult tumor cells of epithelium origin in peripheral blood have been based on the concept that circulating tumor cells (CTCs) continue to express epithelial cell markers . Based on this concept, several epithelial cell markers have been evaluated for detecting disseminated tumor cells in the blood circulation. Frequently used molecules include cytokeratins (CKs) 7, 19, and 20 [4–6], carcinoembryonic antigen (CEA) [7, 8], epidermal growth factor receptor  including HER-2/neu , mucin-1 , β-subunit of human chorionic gonadotropin (β-hCG) , and α-fetoprotein . In prostate cancer (PCa) patients, the expression of prostate specific antigen (PSA) [14–16], prostate-specific membrane antigen (PSMA) [17, 18], and human glandular kallikrein 2 (hK2)  along with other epithelial cell markers has been investigated individually or in combination  for their ability to detect CTCs in patients with localized and metastatic PCa. This detection strategy involves the amplification of target mRNAs species by reverse transcriptase-polymerase chain reaction (RT-PCR) [21–23]. However, the use of these markers to detect CTCs fails to explain mechanisms that regulate tumor cell survival in the circulation and the development of their metastatic capability.
Recent reports have also emphasized that the immune system actively participates in cancer formation and development. Although this concept of immune response was formulated more than half a century ago , the existence of cancer "immunosurveillance" is still largely unknown and debatable because we know very little about the molecules participating in this event. If cancer "immunoediting" is present under the concept of cancer immunosurveillance, we hypothesized that genes expressed in immune cells participating in this event are significantly different from their counterparts in healthy persons.
We also hypothesized that both CTCs and immune cells need to evolve through their gene expression at stages of cancer formation and progression. The identified mRNA species associated with circulating cells of cancer-bearing patients will serve as independent markers for future tumor staging and help us understand metastasis and immunosurveillance. In this study, using PCa as a model, we applied the suppression suppressive hybridization (SSH) technique  to establish two libraries consisting of mRNA species that are either present or absent in circulating cells of PCa patients. We sequenced a small number of clones present in these libraries, and identified that the majority, 17 out of 23 (73.9%), of the sequenced clones did not match previously identified mRNA species. From the sequenced clones, we confirmed that four genes are differentially expressed in circulating cells of healthy men and PCa patients using semi-quantitative RT-PCR. Two mRNA species were identified to be significantly elevated in PCa patients, and two mRNA species were identified to be significantly suppressed in PCa patients.
Results and Discussion
Current protocols for detecting CTCs mainly utilize known epithelial cell markers or other tissue-specific molecules . However, the presence of these markers in CTCs does not correlate with their survival in the circulation and their metastatic capability. Furthermore, molecules that participate in the process of "immunosurveillance" remain poorly understood. In this report, we used a PCR-based, genome-wide gene expression analysis named SSH to establish comprehensive, subtracted cDNA libraries to catalogue mRNA species either present or absent in circulating cells of PCa patients.
Identities of selected cDNA clones present in subtracted libraries
GenBank Accession No.
Homo sapiens chromosome 3 clone RP11-61I9 map 3p, complete sequence
Homo sapiens BAC clone RP11-479L11 from 2, complete sequence
Homo sapiens integral membrane protein 2B (ITM2B) gene, complete cds
Homo sapiens BCA clone RP11-1E1 from 4, complete sequence
Homo sapiens chromosome 16 clone CTD-2326c4, complete sequence
Home sapiens cDNA FLJ34675 fis, clone Liver2001608
Homo sapiens 3 BAC Rp11-767L7 (Roswell Park Cancer institute human BCA Library)
Homo sapiens PAC clone RP-630c24 from 7, complete sequence
Homo sapiens bCA clone RP11-6P6 from 2, complete sequence
Homo sapiens calmodulin 2 mRNA (phosphorylase kinase δ)
Homo sapiens chromosome 1q24 (clone RP4-798A17) contains the 3' part of the FMO1 gene and the FMO4 gene
Homo sapiens chromosome 5 (clone CTC-2048F20)
Homo sapiens major histocompatibility complex, class I, BC (HLA-BC)
Homo sapiens cathepsin D (Lysosomal aspartyl protease) mRNA
Homo sapiens chromosome 18 (clone RP11-704G7)
Homo sapiens PCA clone RP5-88608 from 7, complete sequence
Homo sapiens cDNA FLJ38580 fis, clone HCHON2008582, highly similar to ferritin heavy chain
Homo sapiens chromosome 17, clone hRPK.1053_B_8, complete sequence
Human chromosome 14 DNA sequence BAC R-898B23 of library RPCI-11 from chromosome 14 of Homo sapiens (Human), complete sequence
Homo sapiens cDNA: FLJ23170 fis, clone LNG09984
Homo sapiens chromosome 8, clone RP11-453N18, complete sequence
Human DNA sequence from clone RP11-55J24 on chromosome 9, complete sequence
Homo sapiens chromosome 5 clone RP11-52M14, complete sequence
PCR primers and conditions for detecting levels of mRNA expression in circulating cells of healthy men and patients with PCa
GenBank Accession No.
5'-AGG AAT AAG TCA CAC CGT GGA-3' 5'-ACC TGT TGG GAC TAG ACG CAT-3'
5'-TGG TCT GTA ACC CTT AGG AGA-3' 5'-TCT GCC CTT TGA GTC CAA GT-3'
5'-AGG TCA GCA GAG ATG TCT GT-3' 5'-TAG TCC CCG AGA AAG AAT TA-3'
5'-TGA GCA GTT TCT TCA GCC TCA-3' 5'-TGA TAA GTC CAA CCC AAA GGC T-3'
5'-TAT CTG GGT GAC ACT GGG AAA-3' 5'-AGA GAC CAG CGT AAT ATC CCT-3'
5'-AGG TAA AGG AAA CCC CAA CAT GCA-3' 5'-AAC CAA CGA GGT GGC CGA ATC TT-3'
In order to ensure that the PCR products were not resulted from genomic DNA contamination, we performed two pre-cautionary procedures. First, all total RNA samples were subjected to RNase-free, DNase I digestion to remove residual genomic DNA. Second, we noticed that, in reactions with reverse transcription, β-actin signal was detected after 26 cycles of PCR amplification (Figure 2), whereas β-actin signal was absent in reactions without reverse transcription even after 35 cycles of amplification using amplimers within the same exon (data not shown). However, before we can confirm our statement, full-length cDNAs corresponding to our identified sequences need to be cloned.
The genome-wide screening and identification of mRNA species associated with circulating cells of tumor-bearing patients has been described for various cancers. Twine et al. reported the use of the microarray approach to differentiate gene expression patterns of mononuclear cells in patients with advanced renal cell carcinoma . However, due to the low number of tumor cells present in the circulation compared to the large number of normal leukocytes, hybridization array (cDNA array and oligonucleotide array) may not be an ideal tool for identifying rare molecular events occurring in small number of CTCs. To overcome this problem, Smirnov et al. used magnetic separation of epithelial cell adhesion molecule (EpCAM) expressing cells from peripheral blood circulating cells and compared gene expression patterns between EpCAM-enriched and EpCAM-depleted cells using microarray analysis in cancer-bearing patients . Another comprehensive gene expression method, named mRNA differential display, has been conducted to compare genes that are expressed in peripheral blood mononuclear cells of tumor-free individuals with those from lung, breast, and colon cancer patients . This study found a total of 21 mRNA species expressed in tumor patients' blood samples but not in samples from tumor free volunteers. In addition, Martin et al. reported the use of the differential display to first identify transcripts differentially expressed in breast cancer cells and normal breast epithelial cells followed by an array analysis of these transcripts in the circulating cells of breast cancer patients . Results from these experiments demonstrate that the detection of disseminated cancer cells in peripheral blood is attainable.
It has been suggested that selective enrichment of the tumor cell population from both bone marrow and blood before analysis can increase the sensitivity for detecting CTCs [37–40]. Various cell separation techniques have been devised to enrich the CTC population from whole blood. However, these methods may also introduce artifacts into the sample preparation steps. For example, the addition of anticoagulants to blood samples affect leukocyte gene expression ex vivo [41–43]. Efforts were made to avoid RNA degradation and alteration in gene expression during in vitro processing of blood cells and to avoid under- and over-estimation of in vivo mRNA expression. We used direct isolation of poly(A)+ RNA and total RNA from whole blood circumventing a prior cell separation step. Our intention was also to prevent the loss of rare, un-identified target cells from blood samples during enrichment procedures since we do not know much about tumor cells' genotypes/phenotypes or any type(s) of immune cells' participation in cancer development.
Although it has been suggested that cancers are composed of a heterogeneous collection of cells with different degrees of tumor marker expressions [44, 45], CTCs of all types might need to develop a "common" mechanism(s) to survive in the circulation and acquire metastatic capability. We speculate that universal "tumor-specific" markers can be identified in occult tumor cells from different cancers. Moreover, we expect to identify "tissue-specific" molecules in CTCs if tumor cells continue to express their tissue-specific markers. The identification of tissue-specific markers will help to identify the origins of CTCs. Emerging evidence also demonstrates that detection of tumor cells disseminated in peripheral blood can provide clinically important data for tumor staging, prognostication, and identification of surrogate markers for early assessment of the effectiveness of adjuvant therapy. Furthermore, by comparing gene expression profiling of all circulating cells, we expect to identify genes that might play a role in "immunosurveillance". Our future objectives include the identification of cell types that expressed differentially regulated mRNA species. We also intend to study the functional activities of these molecules in circulating cells during cancer development and establish an association between these genes' expression and cancer stages.
Using the PCR-based SSH technique, we established two comprehensive subtracted cDNA libraries consisting of potentially differentially regulated genes in circulating cells of PCa patients. We further confirmed that both elevated and suppressed transcripts can be detected in circulating cells of PCa patients. This is an initial attempt to perform genome-wide gene expression analysis in peripheral blood circulating cells and demonstrate the presence of previously un-identified mRNA species in circulating cells of cancer-bearing patients. This is the first step toward understanding tumor metastasis and tumor-induced immune reactions in the development of cancer. We will continue to investigate these molecules' physiological/pathological function and their use in cancer detection.
PCa patients were enrolled at the time of diagnosis of elevated PSA and positive biopsy. Healthy men's samples were collected from volunteers with similar age and race distribution without evidence of diseases or use of any medications. Attending physicians provided all participants with informed consent forms for collecting samples used in this study. Sample collection was also HIPAA compliant. Blood was drawn before scheduled surgery from PCa patients. There was no evidence of systemic metastases for all PCa patients when the primary tumor was resected through surgical prostatectomy. For initial construction of SSH libraries, we collected 50 samples, 25 healthy men and 25 patients with PCa. We collected an additional 20 blood samples, 8 healthy men and 12 patients with PCa, for RT-PCR analysis.
Blood collection and RNA isolation
For SSH, whole blood (5 ml) drawn from each individual was immediately mixed with 10x volume of RNA stabilization reagents for blood/bone marrow (Roche). The cells were then lysed. Poly(A)+ RNA was immediately isolated by a two-step procedure through magnetic separation using the mRNA isolation kit for blood/bone marrow (Roche). The poly(A)+ enriched samples were finally eluted from magnetic beads with H2O. Purified poly(A)+ RNA was quantitated spectrophotometrically and stored in liquid nitrogen until use.
For RT-PCR, blood (2.5 ml) from each individual was colleted into a PAXgene™ Blood RNA tube (QIAGEN) following the manufacturer's protocol. Whole blood was thoroughly mixed with PAXgene stabilization reagent and stored at room temperature for 6 hours prior to RNA extraction. Total RNA was then extracted using the PAXgene™ Blood RNA kit according to the manufacturer's directions (QIAGEN). As the resulting RNA was usually contaminated with genomic DNA , total RNA samples absorbed to the PAXgene™ Blood RNA System spin column were incubated with DNase I (QIAGEN) at 25°C for 20 min to remove genomic DNA. Total RNA was eluted, quantitated, and stored in liquid nitrogen.
Suppression subtractive hybridization (SSH) procedures
SSH was performed according to procedures described by Diatchenko et al. . All reagents are now commercially available from BD Biosciences Clontech. Briefly, reverse transcription was performed with 2 μg poly(A)+ RNA from an individual patient sample in the presence of a mixture of three 3' anchored primers (5'-TTTGCATGC TCGAG-(T)25-A/G/C-3') at 42°C for 2 hours. Second strand cDNA was then synthesized with the addition of E. coli DNA polymerase I (250 μU/μl; Invitrogen), E. coli RNase H (8.5 μU/μl; Invitrogen), and E. coli DNA ligase (30 μU/μl; Invitrogen) at 16°C for an additional 2 hours. The double-stranded cDNA libraries were then pooled into healthy and PCa groups. The pooled samples were subjected to Rsa I digestion. To identify mRNA species expressed only in patients with PCa, the Rsa I digested pooled cDNAs derived from PCa were ligated to specially designed adapters A and B (BD Biosciences Clontech) in two different reactions .
To form heterohybrids between two sample populations, the adapter A and adaptor B ligated cDNAs (20 ng) were combined with excess Rsa I digested cDNAs (400 ng) from healthy men in two separate reactions, heat-denatured, and hybridized at 68°C for 10 hours. In a second hybridization step, the two separate samples from adapters A and B containing reactions were combined. A fresh aliquot of 150 ng heat-denatured Rsa I digested cDNAs derived from healthy men was added to the combined reaction. Hybridization was continued for another 10 hours at 68°C. Commonly expressed sequences between controls and PCa patients formed hybrids in these two sequential hybridization steps. The heterohybrids are less likely to be amplified in the following PCR step due to the design of SSH adaptors .
Genes specifically expressed in PCa patients' circulating cells were amplified by two consecutive rounds of PCR according to the procedures reported by Diatchenko et al. . The PCR-amplified products were then ligated to the pCRII vector (Invitrogen) followed by transformation. The bacteria were plated on agar plates containing ampicillin and overlaid with X-gal and IPTG. After overnight incubation, white colonies were picked and used for subsequent sequencing reaction. Sequencing results were used to design PCR primer sets to determine the genes' expression levels in healthy controls and PCa patients.
To detect sequences present in circulating cells of healthy men but absent in circulating cells of PCa patients, the initial adaptors ligation reaction was reversed. Aliquots of Rsa I digested pooled cDNAs derived from healthy men were ligated to adapters A or B followed by hybridization and PCR amplification as described above.
First strand cDNAs were reverse transcribed from 2.5 μg of the total RNA in the presence of oligo d(T) primer (Invitrogen), 20 μM each of dNTPs, and 200 units of M-MLV reverse transcriptase (Invitrogen). This was done in a total of 50 μl at 42°C for 2 hours. PCR reactions were performed by mixing 1 μl of first-strand cDNAs, 0.2 μM gene-specific 5' and 3' primers (Table 2), and 5 units Taq DNA polymerase (Invitrogen) in a total of 50 μl. Reactions were performed by heat activation at 94°C for 2 min, followed by cycling through 94°C for 30 sec, 50–55°C for 1 min, and 72°C for 1 min. The minimal numbers of PCR cycles required for detecting these gene products were first determined and is indicated in Table 2. β-actin (NM_001101) was also amplified and used as an internal control for comparing relative levels of target gene expression. We also included RNA samples without reverse transcription for β-actin amplification to determine levels of genomic DNA contamination. Following gel electrophoresis, images were captured using a Bio-Rad Gel Doc system; and band intensities were analyzed by the Quantity One® software (Bio-Rad).
Levels of target gene expression were expressed as mean ± standard deviation (SD) following normalization to β-actin. A Student's t test was used to compare means of these genes expressions between the healthy controls and PCa patients. A probability value of p < 0.05 was considered significant.
List of abbreviations
circulating tumor cell
suppression suppressive hybridization
This work was supported by the Oklahoma Center for the Advancement of Science and Technology (OCAST) grant HR02-081R to HKL. We also thank Dr. Ying Zhang for her statistical consultation.
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