Abstract
To determine whether genetic abnormalities present in primary ovarian tumors can be used to detect cancer cells in peritoneal fluid, we tested 14 ovarian cancers and 1 benign tumor of the ovary for loss of heterozygosity (LOH) at chromosomal arms 13q, 17p, 17q, and 22q and for mutations in the p53 and K-ras genes. In each case, matched primary tumor, normal tissue, and peritoneal fluid were analyzed. The highest frequency of LOH was found on chromosomal arm 17p (42%), followed by chromosomal arm 17q (36%), 22q (30%), and 13q (21%). Identical alterations were detected in matched peritoneal fluid (either peritoneal wash or ascitic fluid) in 3 of the 8 patients with LOH in the tumor (38%). Direct sequence analysis detected p53 mutations in 3 of the 14 malignant tumors (21%) and no (0) K-ras mutations. Identical mutations were detected in matched peritoneal fluid from all 3 patients with p53 mutations. All 8 of the 14 (57%) malignant tumors that showed at least one genetic abnormality were serous adenocarcinoma and identical alterations were detected in 5 of the 8 (62%) matched peritoneal fluid samples. Our findings indicate that molecular abnormalities can be detected in peritoneal fluid from patients with ovarian cancer and may be used to complement current conventional diagnostic procedures for detection of primary ovarian cancer.
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INTRODUCTION
Ovarian cancer is the fifth leading cause of cancer incidence and the most common cause of death from gynecological malignancies in the Western World (1). The asymptomatic onset and insidious progression of this disease accounts for the frequently advanced stage at time of diagnosis. Only about 24% of all the cases are detected at the localized stage (2). Cytological examination of peritoneal fluid was first proposed in 1956 as a means of detecting sub clinical metastases (3). Subsequently, the International Federation of Gynecologists and Obstetricians (FIGO) has incorporated peritoneal fluid cytology into its protocol for the staging of ovarian cancer (4). However, both false-negative and false-positive rates of peritoneal fluid cytology are high (5). Because the presence of malignant cells in the peritoneal fluid is an important prognostic indicator, there is a critical need for new diagnostic methods able to improve our ability to detect microscopic disease in the peritoneal cavity.
Although the molecular mechanisms that underlie the development and progression of ovarian cancer are poorly understood, several genetic abnormalities have been reported. Loss of heterozygosity involving BRCA1 (6, 7), BRCA2 (8), and 22q (9) loci have been found in 25–67% of epithelial tumors, K-ras mutations in 35–85% (10, 11), and p53 mutations in 35–60%, depending on tumor type and the source of the data (7, 9, 10, 11, 12, 13, 14). Germline mutations in the BRCA1 and BRCA2 genes are thought to be responsible for most cases of hereditary ovarian cancer, but only a few mutations have been detected in sporadic tumors (6, 7, 8, 15, 16).
To determine whether genetic abnormalities present in primary ovarian tumors can be detected in peritoneal fluid, 15 cases (14 malignant and 1 benign tumor) were analyzed for loss of heterozygosity (LOH) using seven microsatellite markers on chromosomal arms 13q, 19p, 19q, and 22q and mutations in the p53 and K-ras genes. Abnormalities for at least one marker were detected in 8 of the 14 (57%) malignant tumors, and identical changes were detected in 5 of 8 (62%) matched peritoneal fluid samples.
MATERIALS AND METHODS
Specimens and DNA Extraction
Primary tumors and normal (blood lymphocytes or normal ovarian tissues) and cytological samples from 15 cases were collected from The Johns Hopkins Ovarian Cancer Tumor Registry between July 1999 and March 2000. The ovarian tumors included nine serous carcinomas, two endometrioid carcinomas (one with a yolk sac tumor component), one clear cell carcinoma, one small cell carcinoma, one mucinous atypical proliferating tumor (low malignant potential), and one cystadenofibroma (Fig. 1). Matched normal control tissue and either pelvic wash (n = 12) or ascitic fluid (n = 3) were available for each case (Table 1). Frozen tumor specimens were microdissected on a cryostat so that the tumor samples contained ≥70% neoplastic cells. DNA was extracted from paired normal, tumor, and peritoneal fluid as described previously (17).
Microsatellite Markers Analysis
To detect LOH in primary ovarian cancer and matched peritoneal fluid DNA from normal, tumor samples, and ascite or pelvic wash (Table 1) were analyzed by PCR. Primer pairs (Research Genetics Huntsville, AL) amplifying seven microsatellite markers mapped to chromosomal arms 17 (D17S579, D17S855, D17S786), 13q (D13S260, D13S267), and 22q (IL2RB, D22S283) were used. PCR conditions included a denaturation step for 2 minutes at 95° C, followed by 35 cycles at 95° C for 1 minute, 54–58° C for 1 minute, 72° C for 1 minute, and by a final 4-minute extension at 72° C. About one quarter of the PCR product was separated on 8 m urea-formamide-polyacrylamide gel and exposed to film. For each microsatellite marker, the LOH ratio was calculated as a percentage of the number of tumors, with allelic loss divided by the number of informative cases. Tumor samples were considered positive for LOH if they harbored allelic loss in at least one microsatellite marker (18, 19).
p53 and K-ras Amplification and Sequencing
The K-ras gene and a fragment containing the exons 4 through 8 of the p53 gene were amplified as described previously (20). The analysis was carried out using Thermosequenase (Perkin-Elmer, Roche Molecular Systems, Inc., Branchburg, NJ) with cycle conditions according to the manufacturer’s instruction. Sequencing products were separated on a Genomyx electrophoresis apparatus (Beckman Coulter Inc., Fullerton, CA). For samples with mutations, the analysis was repeated in two independent PCR and sequencing reactions.
Oligonucleotide Mismatch Ligation Assay
To detect p53 mutations in DNA extracted from peritoneal fluids, fragments containing mutations were PCR amplified and ethanol precipitated. For each mutation, discriminating oligonucleotides that contained the mutated base at the 3′ end were designed. Immediately adjacent [32P]3′ sequences were used as substrate, together with discriminating oligonucleotides (Life Technologies, Rockville, MD) for the ligation reaction. After a denaturing step at 95° C for 5 minutes, the reactions were incubated for 1 hour at 37° C in the presence of T4 DNA ligase (Life Technologies) and analyzed in denaturing 15% polyacrylamide gels (21).
RESULTS
We analyzed 14 malignant ovarian tumors and matched peritoneal fluid for LOH at seven microsatellite markers and at mutations in the K-ras and p53 genes. The seven microsatellite markers were chosen to map on chromosomal arms 13q (BRCA2 locus), 17p and q (BRCA1 and p53 loci), and 22q. The highest frequency of LOH was found on chromosomal arm 17p (42%), followed by chromosomal arms 17q (36%), 22q (30%), and 13q (21%). The same alterations were detected in matched peritoneal fluid in three of the eight patients with LOH in the tumor (38%; Table 1). Representative results are shown in Figure 2A.
Direct manual sequence analysis of the p53 gene detected mutations in 3 of the 14 malignant tumors (21%). Two of those mutations were frameshift mutations, an insertion CC in exon 6 (tumor OC1) and a 17-bp deletion in exon 5 (tumor OC13). The third mutation was a C 224 T transversion in exon 7 that changed codon 248 from Arg to Trp in tumor OC17. Identical mutations were detected by our mismatch ligation assay in matched peritoneal fluids from all 3 patients with p53 mutations (100%; Table 1; Fig. 2B–C). No mutations were detected in the K-ras gene either by direct manual sequence analysis or oligonucleotide mismatch ligation assay (data not shown).
In total 8 of the 14 (57%) malignant tumors showed at least one genetic alteration (either p53 mutations or LOH). Remarkably, all of them were of the serous adenocarcinoma subtype. Moreover, identical alterations were detected in 5 of the 8 (62%) matched peritoneal fluid samples. Of these positive fluids, three were from ascites (OC2, OC13 and OC17) and two from peritoneal washes (OC1 and OC6; Table 1). Tumor OC13 showed LOH at four microsatellite markers including D17S786 and harbored a p53 mutation, and both changes were detectable in the peritoneal fluid. We did not find genetic abnormalities in either the tumor of low malignant potential or the only benign tumor tested (Table 1). In our series, seven of the eight tumors with molecular abnormalities were also positive by cytological examination (Table 1). In one patient with microsatellite alterations in microsatellite markers in the primary tumor, the cytopathological diagnosis was equivocal. In this case we were also unable to detect LOH in the peritoneal fluid, a relatively insensitive detection approach.
DISCUSSION
The understanding of the molecular genetic changes associated with cancer has led to the development of novel and potentially powerful tools for clinical detection of this disease (22). Microsatellite analysis and specific point mutations have been used to detect tumor cells in tissue and fluids from various sources. Here we used a panel of nine molecular markers (seven microsatellite markers and p53 and K-ras gene mutation analysis) to detect cancer cells in patients with primary ovarian tumors. The microsatellite markers chosen represented the most common altered loci in ovarian cancer according to published data. We found at least one molecular abnormality in 57% of the tumors tested but the frequency reaches 89% if only serous adenocarcinomas are considered. Of the eight patients with at least one alteration in the primary tumor, 5 (62%) showed identical changes in matched peritoneal fluid.
In total LOH in at least one microsatellite marker was found in 28% of the ovarian cancers, and identical alterations could be detected in the peritoneal fluid sample in 3 cases (38%; Table 1). No microsatellite instability was detected in our series. For tumors with LOH in more than one marker set, all showed the same pattern in the matched peritoneal fluid. In the only published (23) study that analyzed microsatellite abnormalities in peritoneal fluid from patients with ovarian cancer, the investigators reported LOH or microsatellite instability in approximately 60% of the cases. In the latter study, the authors used an automated fluorescent method with a cut-off for defining the LOH ratio of only 20%, which may be responsible for their high positive rate.
Several studies indicate that serous adenocarcinoma has a high incidence of p53 mutations as compared with other epithelial and non-epithelial ovarian tumors (24). We detected p53 mutations in 21% of the primary tumors tested, and all of them were serous adenocarcinoma. This result supports the hypothesis that inactivation of the p53 tumor suppressor gene correlates with the histological type. Published data also indicate a difference in frequency of K-ras mutations among serous and mucinous adenocarcinoma, with a lower frequency in the serous subtype (30% versus 60–85%) (11, 25). Thus, the absence of K-ras mutations in our small cohort of samples, which was comprised of >50% serous adenocarcinomas, is not completely surprising
Direct manual sequence analysis of the peritoneal fluid from patients with p53 mutations was unable to detect the alteration in the corresponding peritoneal fluid. When we applied the more sensitive oligonucleotide mismatch ligation assay (26), the identical mutations were found in all three peritoneal fluids. This assay can detect one mutant cell among 1000 normal cells (26).
The ability to detect cancer by molecular analysis in bodily fluids depends mainly on the enrichment of tumor cells in the specimens. For example, microsatellite marker analysis allows the detection of tumor cells with high sensitivity and specificity in urine sediments from patients with bladder cancer (18, 19, 26) but is much lower in specimens such as bronchoalveolar lavage from patients with lung cancer (27). The latter pulmonary specimens share with peritoneal fluid specimens the disadvantage of a substantial dilution of neoplastic cells caused by the presence of normal cells (e.g., inflammatory cells, peritoneal cells. The use of more sensitive detection methods, like the mismatch ligation assay used in this study, is likely to improve the sensitivity of detection of cancer cells in peritoneal fluid. Finally, more mutated oncogenes in ovarian cancer may allow the further application of this technique as a complement to current conventional diagnostic procedures for the detection of primary ovarian cancer.
References
Landis SH, Murray T, Bolden S, Wingo PA . Cancer statistics. CA Cancer J Clin 1999; 48: 8–31.
Yancik R . Ovarian cancer: age contrasts in incidence, histology, disease stage at diagnosis and mortality. Cancer 1993; 71: 517–523.
Creasman WT, Rutlege F . The prognostic value of peritoneal cytology in gynecologic malignant disease. Am J Obstet Gynecol 1971; 110: 773–778.
Tobias JS, Griffiths CT . Management of ovarian carcinoma. N Engl J Med 1976; 294: 818–823.
Motherby H, Nadjari B, Friegel P, Kohaus J, Ramp U, Bocking A . Diagnostic accuracy of effusion cytology. Diagn Cytopathol 1999; 20: 350–357.
Berchuck A, Heron KA, Carney ME, Lancaster JM, Fraser EG, Vinson VL, et al. Frequency of germline and somatic BRCA1 mutations in ovarian cancer. Clin Cancer Res 1998; 4: 2433–2437.
Quezado MM, Moskaluk CA, Bryant B, Mills SE, Merino MJ . Incidence of loss of heterozygosity at p53 and BRCA1 loci in serous surface carcinoma. Hum Pathol 1999; 30: 203–207.
Foster KA, Harrington P, Kerr J, Russel P, DiCioccio RA, Scott IV, et al. Somatic and germline mutations of the BRCA2 gene in sporadic ovarian cancer. Cancer Res1996; 1996: 56: 3622–3625.
Cliby W, Ritland S, Hartmann L, Dodson M, Keeney G, Podratz KC, et al. Human epithelial ovarian cancer allelotype. Cancer Res 1993; 53: 2393–2398.
Teneriello MG, Ebina M, Linoilla I, Henry M, Nash JD, Park RC, et al. P53 and K-ras mutations in epithelial ovarian neoplasm. Cancer Res 1993; 53: 3103–3108.
Cutrecasas M, Villanueva A, Matia-Guiu X, Prat J . K-ras mutation in mucinous ovarian tumors: a clinicopathological study of 95 cases. Cancer 1997; 79: 1581–1586.
Kohler MF, Marks JR, Wiseman RW, Jacobs IJ, Davidoff AM, Clarke-Pearson DL, et al. Spectrum of mutation and frequency of allelic deletion of the p53 gene in ovarian cancer. J Natl Cancer Inst 1993; 85: 1513–1519.
Milner JJ, Allan LA, Eccles DM, Kitchener HC, Leonard RCF, Kelly KF . P53 mutation is a common genetic event in ovarian cancer. Cancer Res 1993; 53: 2128–2132.
Kupryjanczyk J, Thor AD, Beuchamp R, Merrit V, Edgerton SM, Bell DA, et al. P53 gene mutations and protein accumulation in human ovarian cancer. Proc Natl Acad Sci U S A 1993; 90: 4961–4965.
Boyd J . Molecular genetics of hereditary ovarian cancer. Oncology 1998; 12: 399–406.
Narod SA, Boyd J . Current understanding of epidemiology and clinical implication of BRCA1 and BRCA2 mutation in ovarian cancer. Curr Opin Obstet Gynecol 2002; 14: 19–26.
Parrella P, Xiao Y, Fliss M, Sanchez-Cespedes M, Mazzarelli P, Rinaldi M, et al. Detection of mitochondrial DNA mutations in primary breast cancer and fine needle aspirates. Cancer Res 2001; 61: 7623–7626.
Mao L, Schoenberg MP, Scicchitano M, Erozan YS, Merlo A, Schwab D, et al. Molecular detection of primary bladder cancer by microsatellite analysis. Science 1996; 271: 659–662.
Steiner G, Schoenberg MP, Linn JF, Mao L, Sidransky D . Detection of bladder cancer recurrence by microsatellite analysis of urine. Nat Med 1997; 3: 621–624.
Hibi K, Robinson CR, Booke S, Wu L, Hamilt SR, Sidransky D, et al. Molecular detection of genetic alteration in the serum of colorectal cancer patients. Cancer Res 1998; 58: 1405–1407.
Jen J, Powell SM, Papadopolous N, Smith KJ, Hamilto SR, Vogelstain B, et al. Molecular determinants of dysplasia in colorectal lesions. Cancer Res 1994; 51: 5523–5526.
Sidransky D . Emerging molecular markers of cancer. Nat Rev Cancer 2002; 2: 210–219.
Hickey KP, Boyle KP, Jepps HM, Andrew AC, Buxton EJ, Burns PA . Molecular detection of tumour DNA in serum and peritoneal fluid from ovarian cancer patients. Br J Cancer 1999; 80: 1803–1808.
Pieretti M, Powell DDE, Gallion HH, Case EA, Conway PS, Turker MS . Genetic alterations on chromosome 17 distinguish different types of epithelial ovarian tumors. Hum Pathol 1995; 26: 393–397.
Cuatrecasas M, Erill N, Musulen E, Costa I, Matias-Guiu X, Parat J . K-ras mutation in non-mucinous ovarian tumors: a molecular analysis and clinicopathologic study of 144 patients. Cancer 1998; 82: 1088–1095.
Fliss MS, Usadel H, Caballero O, Wu L, Buta M, Eleff M, et al. Facile detection of mitochondrial DNA mutations in tumors and bodily fluid. Science (Wash DC) 2000; 287: 2017–2019.
Ahrendt SA, Jow JT, Xu LH, Yang SC, Eisenberg CF, Esteller M, et al. Molecular detection of tumor cell in bronchoalveolar lavage fluid from patients with early stage lung cancer. J Natl Cancer Inst 1999; 91: 332–339.
Acknowledgements
This work was supported by NCI Grant (1 U01 CA84986) part of the Early Detection Research Network. It was also supported by Progetto Ministero della Salute IRCCS, (RC-2001, 2002), Italy.
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Parrella, P., Zangen, R., Sidransky, D. et al. Molecular Analysis of Peritoneal Fluid in Ovarian Cancer Patients. Mod Pathol 16, 636–640 (2003). https://doi.org/10.1097/01.MP.0000076979.28106.ED
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DOI: https://doi.org/10.1097/01.MP.0000076979.28106.ED
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