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Departments of 1 Surgical Oncology and 2 Pathology, Fox Chase Cancer Center, Philadelphia, Pennsylvania; 3 Cancer Epigenetics Laboratory, Spanish National Cancer Centre (CNIO), Madrid, Spain; and 4 Tumor Biology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland
| ABSTRACT |
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| INTRODUCTION |
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There is broad agreement that the genetic and epigenetic alterations, which initiate and drive cancer, can be potentially useful in the diagnosis and management of cancer (7) . Silencing of tumor suppressor genes such as p16INK4a, VHL, and the mismatch repair gene hMLH1 have established promoter hypermethylation as a common mechanism for tumor suppressor inactivation in human cancer and a promising new target for molecular detection (8 , 9) . Several cancer genes of clear biological significance, including p16INK4a and BRCA1, have been found to have hypermethylation of normally unmethylated CpG islands within the promoter region in ovarian cancer cells (10, 11, 12) . Hypermethylation can be analyzed by the sensitive methylation-specific PCR (MSP) technique, which can identify 1 methylated allele in 1000 unmethylated alleles (13) , appropriate for the detection of few neoplastic cells in a background of normal cells. MSP also allows rapid analysis of multiple gene loci, does not require prior knowledge of epigenetic alteration, and can potentially provide a "yes or no" answer for the detection of cancer (13 , 14) .
Bodily fluids that surround or drain the organ of interest from patients with various solid malignancies have been successfully used for MSP-based detection. These include detection of lung cancer in serum (15) , sputum (16) and bronchial lavage (17) , head and neck cancer in serum (18) , breast cancer in ductal lavage (19) , and prostate (20) or renal cancer (21) in urine. However, ovarian cancer has not yet been tested. Peritoneal washings or ascites (peritoneal fluid), known to contain cancer cells in ovarian cancer patients, are one potential choice of specimen in which to screen for hypermethylated DNA. We hypothesized that the more readily accessible serum or plasma from patients with ovarian cancer might also contain hypermethylated DNA from tumor cells amenable to MSP analysis. As a feasibility study, we therefore screened a series of matched ovarian tumor, serum, and peritoneal fluid DNA, as well as normal and benign disease control DNA for aberrant promoter hypermethylation of BRCA1, RAS association domain family protein 1A (RASSF1A), and other tumor suppressor genes.
| MATERIALS AND METHODS |
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Tumor tissue was obtained immediately after surgical resection and subsequently microdissected with the assistance of a pathologist. DNA was extracted from tissue,
50 mL of peritoneal fluid, or 1.5 mL of serum using a standard technique of digestion with proteinase K in the presence of SDS at 37°C overnight followed by phenol/chloroform extraction (23)
. Tumor specimen DNA was spooled out after precipitation with 100% ethanol. Serum or peritoneal fluid DNA was precipitated with one tenth volume of 10 mol/L ammonium acetate, 2 µL of glycogen (Roche Diagnostics Corporation, Indianapolis, IN), and 2.5 volumes of 100% ethanol, followed by incubation at 20°C and centrifugation at top speed (16,000 relative centrifugal force). Approximately 50 ng of DNA were obtained from 1 mL of serum. For paraffin-embedded tissue, 10 7-µm sections were cut with a microtome and put on glass slides. A tumor cell-rich area or cyst, indicated by the pathologist (H. Ehya), was removed with a razor blade or needle depending on size, using an inverted microscope. The dissected tissue was placed directly into a microcentrifuge tube, washed with xylene, and DNA isolated as above.
MSP.
Specimen DNA (0.05 to 1 µg) was modified with sodium bisulfite, converting all unmethylated but not methylated cytosines to uracil followed by amplification with primers specific for methylated versus unmethylated DNA. The genes used for ovarian tumor cell DNA detection were BRCA1 (11)
, RASSF1A (24)
, adenomatous polyposis coli (APC; ref. 25
), p14ARF (26)
, p16INK4a (13)
, and death associated protein-kinase (DAP-kinase; ref. 27
). The primer sequences used have all been previously reported and can be found in the report referenced after each gene. The primers for RASSF1A include CpG site positions 7 to 9 on the forward primer and 13 to 15 on the reverse primer as described previously (24)
. PCR amplification of tumor DNA was performed for 31 to 37 cycles at 95°C denaturing, 58 to 66°C annealing, and 72°C extension with a final extension step of 5 minutes. Cycle number and annealing temperature depended upon the primer set to be used, each of which had been previously optimized for the PCR technology in our laboratory. In each set of DNA modified and PCR amplified, a cell line or tumor with known hypermethylation as a positive control, normal lymphocyte, or normal ovarian tissue DNA as a negative control and water with no DNA template as a control for contamination were included. If no tumor cell line with known hypermethylation of a particular gene was available, normal human lymphocyte DNA in vitro methylated with SssI methylase according to the manufacturers instructions (New England Biolabs, Beverly, MA) was used as a positive control. After PCR, samples were run on a 6% nondenaturing acrylamide gel with appropriate size markers and the presence or absence of a PCR product analyzed.
Statistical Analysis.
The sensitivity of MSP-based detection of hypermethylation in peritoneal fluid or serum was calculated as number of positive tests/number of cancer cases. The specificity was calculated as number of negative tests/number of cases without cancer and in a second, distinct approach as number of negative tests/number of cases without hypermethylation of a particular gene. The association of tumor stage with positive detection of hypermethylation in serum or peritoneal fluid was assessed using Fishers exact test. Results were considered statistically significant if the two-sided P was
0.05.
| RESULTS |
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| DISCUSSION |
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The use of DNA-based methods for the early detection of ovarian cancer has several potential advantages. Because some genetic and epigenetic events will occur early in the disease process, molecular diagnosis may allow detection before symptomatic or overt radiographic manifestations. The epigenetic alteration of aberrant promoter hypermethylation can be detected at sensitive levels by PCR (1 in 1000) and importantly, because the alteration is a qualitative change, can provide a "yes or no" answer and is thus potentially very specific (13 , 14) .
More than 80% of ovarian cancer is of epithelial origin consisting of papillary serous, mucinous, endometroid, and clear cell histologic cell types. There is also primary papillary serous carcinoma of the peritoneum, which is histologically identical to primary serous carcinoma of the ovary but is suspected to have a multifocal origin from the epithelial lining of the peritoneal cavity. A clinically distinct, intermediate form of epithelial ovarian cancer also exists: the ovarian tumor of low malignant potential (6) . The heterogeneity of gene alterations within and between distinct histologic types mandates the use of a panel of genes. Indeed, no single gene is known to be hypermethylated in more than a proportion of ovarian tumors (10 , 30 , 31) . It will likely be necessary to use a panel of genes to maximize detection of any type of adult sporadic cancer, analogous to the need for analysis of several genes for the diagnosis of familial breast cancer or hereditary nonpolyposis colorectal cancer.
Until recently, the few genes identified as hypermethylated in ovarian cancer included GPC3 on the X chromosome (32) , NOEY2 in an imprinted region of 1p (33) , and myoD1 hypermethylated in ovarian tumors (34) but also reported to be methylated in normal tissue (35) . Only genes hypermethylated in a cancer-specific manner can be used in molecular detection strategies based on conventional MSP analysis. In addition to infrequent p16INK4a hypermethylation (<10%), we found slightly more frequent hypermethylation (<15%) of two more genes, p14ARF and DAP-kinase, in ovarian tumors. Furthermore, hypermethylation of BRCA1 has been reported in 15 to 20% of sporadic ovarian tumors (11 , 12) and a recent profile of hypermethylation reported RASSF1A to be hypermethylated in 41%, and APC in 18%, of ovarian cancer (31) . Thus, it was timely to examine hypermethylation as a target for detection of ovarian cancer in bodily fluids.
Using the BRCA1, RASSF1A, APC, p14ARF, p16INK4a, and DAP-Kinase tumor suppressor genes, we have demonstrated that promoter hypermethylation is common in ovarian cancer, including stage I disease, and can be readily detected in a specific manner in serum and peritoneal fluid DNA. In this initial feasibility study, we observed a sensitivity of 82% in serum. Of interest was that methylation was detected in the serum DNA of four of six patients with CA-125 values of <35 (Table 1)
. Also, one nonneoplastic control patient with a fibroma had a CA-125 value of 63, but no methylation was detected in the paired serum DNA (data not shown). Overall, hypermethylation was not detected in nine (18%) serum DNA from cancer patients. In these samples, neoplastic DNA may have been present in an amount lower than can currently be detected by conventional MSP. As is routine in PCR methodology, we chose to limit PCR to a maximum number of cycles (n = 37) because it is known that specificity can decrease in MSP, as in other PCR protocols, with increased cycle number (36)
. It is possible that a higher number of cycles or a two-stage (nested) MSP approach (16)
would have resulted in the positive detection of hypermethylation in the negative serum DNA. We observed no significant difference in detection frequency between stage I disease and more advanced stage III and IV disease, which suggested that tumor stage was not the main determinant of positive detection in serum. Hypermethylation was detected in 28 and cytology was positive in 26 of the 30 peritoneal fluids from stage IC-IV patients. Three peritoneal fluids with negative or atypical cytology were positive for hypermethylation (patients 22, 33, and 36); however, one cytology positive fluid was negative for methylation (patient 28). Hypermethylation in peritoneal fluid may be useful to accurately identify women that have a higher risk of developing recurrence and may be candidates for adjuvant therapy. Methylation was observed in only 1 peritoneal fluid from 15 stage IA or B patients, but 11 of the 15 paired sera were positive for methylation. This suggests that free neoplastic DNA from ovary-confined disease accesses the bloodstream more readily than the peritoneum. We believe the sensitivity of methylation-based detection can likely be improved by advances in collection techniques, enrichment of neoplastic cells or DNA from the fluid or serum by antibody or oligo-based magnetic bead technology, and improvements in PCR technology.
For a feasibility study of detection, it is important that the target genetic alteration is cancer specific and not present in normal or benign cells. Although we only included in the hypermethylation panel genes reported to be unmethylated in normal cells, we still performed several controls to determine specificity. First, we tested and did not observe gene hypermethylation in cyst tissue, serum, and peritoneal fluid DNA from 10 patients with nonneoplastic ovarian disease or in serum from 20 normal, healthy controls (Fig. 1B)
. Second, we examined the serum and peritoneal fluid DNA for the methylation status of a gene known to be unmethylated in the tumor DNA. This approach has been validated in previous MSP-based detection studies (15
, 18
, 20) . There was no case where a serum or peritoneal fluid DNA gave a positive methylation result in the absence of methylation in the corresponding tumor (potential false positive; Table 1
). For example, tumor 27 in Fig. 1A
did not have RASSF1A hypermethylation, and the matched serum and peritoneal fluid DNA were also negative. Third, we examined 10 nonneoplastic ovarian tissue DNA and observed no hypermethylation at our routine PCR amplification sensitivity (Fig. 1B)
. Our findings in the 40 control women indicate that serum or peritoneal fluid hypermethylation is highly specific for cancer (Table 2)
. In addition, a recent study on the hypermethylation profile of ovarian cancer found no hypermethylation of BRCA1 or APC in 16 nonmalignant ovarian tissue specimens, although 2 specimens showed hypermethylation of RASSF1A (31)
. We used primer sequences to different RASSF1A promoter CpG sites in our MSP analysis. A recent study reported DAP-kinase hypermethylation in normal human lymphocytes by quantitative real-time MSP analysis (37)
. However, at our routine number of amplification cycles for conventional MSP, we did not observe DAP-kinase methylation in nonneoplastic DNA (Table 2)
. The inclusion of several classical tumor suppressor genes, invariably inactivated in tumor cells only, as opposed to less well-defined cancer genes in our detection panel is likely one reason for the high specificity we observed. Future studies could employ sufficient controls to address larger issues beyond this pilot study.
It is probable that genes hypermethylated exclusively or more frequently in ovarian cancer will be identified in the near future (10 , 38 , 39) . Inclusion of such genes in an ovarian cancer detection panel would provide greater specificity for ovarian cancer. Algorithms could be developed to score the specificity of a particular gene hypermethylation panel for the detection of ovarian cancer compared with other cancer types. At present, BRCA1 hypermethylation provides some specificity because this gene is methylated in breast and ovarian cancer only (11 , 12) . Furthermore, whether particular genes were methylated or not might aid in the prediction of the behavior of individual tumors within a particular pathological stage. The heterogeneity of genetic alterations between tumors, for example, which tumor suppressor gene pathways are abrogated in an individual tumor, is likely one underlying cause of differences in tumor behavior and response to therapy. The panel used here contained genes of clear biological significance such as the p16INK4a, p14ARF, and APC genes involved in the p16/Rb and p53/p14 tumor suppressor gene pathways (40) and the Wnt signaling pathway (41) , respectively. A recent study linking methylation of a Fanconis anemia gene to cisplatinin sensitivity of ovarian cancer (42) indicates the potential of tumor profiling.
Molecular detection of loss of heterozygosity or new alleles by microsatellite analysis has been reported in 17 of 20 (85%) serum and 12 of 19 (63%) peritoneal fluid DNA from ovarian cancer patients (43) and by digital single nucleotide polymorphism analysis in 19 of 20 (95%) ascitic fluids from ovarian carcinoma patients (44) . Successful detection of p53 point mutation in matched peritoneal fluid from three patients has also been demonstrated (45) ; however, p53 is not mutated in the majority of ovarian tumors (6) . MSP-based detection has several advantages over microsatellite or point mutation-based detection of ovarian cancer. MSP has greater sensitivity, which will be important for detection of early, small, or precursor lesions. Also MSP, unlike point mutation, does not require prior knowledge of the gene status. At the protein level, telomerase-based detection was found to compare favorably with cytological examination of peritoneal fluid (46) and the potential of proteomic-based strategies for early detection has also been demonstrated (47) . Although the sensitivity of our MSP-based detection was lower than that reported in this proteomics study (47) , our study detected alterations of well-characterized tumor suppressor genes known to be present in tumor cells. In the future, different screening modalities and marker combinations, optimized for sensitivity and specificity, will likely be examined in concert for diagnosis of ovarian cancer.
The hypermethylation panel of six genes tested here provided
100% diagnostic coverage of 71 ovarian or primary peritoneal cancers, including all major histologic cell types and pathological stages, and is certainly manageable in terms of time and economy in view of current array and high-throughput technology. The potential of microarray technology for simultaneous screening for cancers of several different organ types may also partly address the issue that the relatively low incidence of ovarian cancer in the general population has been cited as one obstacle to screening for this disease (4
, 5)
. In the near term, MSP-based detection could be used alongside an established marker, CA-125, to improve sensitivity and specificity. A typical 10-mL peripheral blood sample taken for CA-125 analysis would also provide enough serum for MSP analysis. In this study, we have demonstrated for the first time the feasibility of hypermethylation-based, sensitive (82%) and 100% specific (no false positives) detection of ovarian cancer DNA in serum from patients with well-differentiated, organ-confined stage I tumors, as well as advanced disease. If these results are confirmed in larger studies, promoter hypermethylation may have useful clinical application in ovarian cancer diagnosis and management.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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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.
Requests for reprints: Paul Cairns, Departments of Surgical Oncology and Pathology, Room W350, Fox Chase Cancer Center, 333 Cottman Avenue, Philadelphia, PA 19111. Phone: (215) 728-5635; Fax: (215) 728-2487; E-mail: p_cairns{at}fccc.edu
Received 4/30/04. Revised 7/16/04. Accepted 7/21/04.
| REFERENCES |
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