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Original Research

Open Access

Fractional allelic loss as a potential biomarker of risk prediction in early-stage mucinous ovarian tumors of low malignant potential

  • Nakayama K 1,*,
  • Nakayama N2
  • Ishibashi M1
  • Yeasmin S1
  • Fukumoto M 1
  • Miyazaki K 1

1Dept Obstet & Gynecol, Shimane Med Univ,Izumo, Japan

2Dept Pathol, Tohoku Univ, Inst Dev Aging & Canc, Sendai, Japan

DOI: 10.12892/ejgo20090116 Vol.30,Issue 1,January 2009 pp.16-19

Published: 10 January 2009

*Corresponding Author(s): Nakayama K E-mail: kn88@shimane-med.ac.jp

Abstract

Ovarian tumors of low malignant potential (LMP) appear to be intermediate between adenomas and ovarian carcinomas. Such tumors are often associated with a significantly better prognosis than for ovarian carcinomas. However, a subset of LMPs can progress and become lethal even in patients with early-stage disease. In order to seek sensitive diagnostic tools to monitor patients after surgical therapy, we performed a genome-wide scan for LOH in 37 early-stage mucinous LMPs using 91 polymorphic microsatellite markers at an average interval of 50 cM across all of the human chromosomes and 25 LOH markers reported to be associated with ovarian carcinoma. Fractional allelic loss (FAL) values were calculated as (loci scored with LOH)/(total informative loci) for each sample. With respect to tumor recurrence, high FAL values were more frequent in recurrent tumors than in nonrecurrent tumors. Using the screening markers, FAL values for recurrent tumors were significantly higher than for non-recurrent tumors (19.8% vs 6.3%, respectively, p < 0.0001). Similar results were obtained using the hotspot markers (22.2% vs 7.1%. respectively, p < 0.0001). A significant correlation between FAL values obtained using screening markers and those based on hotspot markers was observed (R = 0.460, p = 0.003). Our findings suggest that a specific type of genetic instability (i.e., chromosomal instability, CIN) may exist in mucinous LMPs. and that this instability may indicate tumors with an aggressive biological nature. Therefore, FAL values may represent a new biomarker for risk prediction in early-stage mucinous LMP tumors.


Keywords

Ovarian Carcinoma; Mucinous LMP; Loss of heterozygosity (LOH); Fractional allelic loss.

Cite and Share

Nakayama K ,Nakayama N,Ishibashi M,Yeasmin S, Fukumoto M , Miyazaki K . Fractional allelic loss as a potential biomarker of risk prediction in early-stage mucinous ovarian tumors of low malignant potential. European Journal of Gynaecological Oncology. 2009. 30(1);16-19.

References

[1] Wingo P.A., Tong T., Bolden S.: "Cancer statistics, 1995". CA Cancer J. Clin. , 1995, 45, 8.

[2] Leake J.F.: "Tumors of low malignant potential". Curr. Opin.Obstet. Gynecol. , 1992, 4, 81.

[3] Russel N.H., Hunter A.E., Haynes A., Bessell E.M.: "Multiple myeloma". Br. Med. J., 1994, 308, 1715.

[4] Bostwick D.G., Tazelaar H.D., Ballon S.C., Hendrickson M.R., Kempson R.L.: "Ovarian epithelial tumors of borderline malignancy. A clinical and pathologic study of 109 cases". Cancer,1986, 58, 2052.

[5] Chambers J.T., Merino M.J., Kohorn E.I., Schwartz P.E.: "Borderline ovarian tumors". Am. J. Obstet. Gynecol. , 1988, 159, 1088.

[6] Hopkins M.P., Kumar N.B., Morley G.W.: "An assessment of pathologic features and treatment modalities in ovarian tumors of low malignant potential". Obstet. Gynecol. , 1987, 70, 923.

[7] Dietel M., Arps H., Rohlff A., Bodecker R., Niendorf A.: "Nuclear DNA content of borderline tumors of the ovary: correlation with histology and significance for prognosis". Virchows Arch. APathol. Anat. Histopathol. , 1986, 409, 829.

[8] Kaern J., Trope C., Kjorstad K.E., Abeler V., Pettersen E.O.: "Cellular DNA content as a new prognostic tool in patients with borderline tumors of the ovary". Gynecol. Oncol. , 1990, 38, 452.

[9] Padberg B.C., Lauritzen I., Achilles E., Holl K., Bressel M., Kloppel G. et al.: "DNA cytophotometry in adrenocortical tumours: a clinicomorphological study of 66 cases". Virchows Arch. A Pathol. Anat.Histopathol. , 1991, 419, 167.

[10] Callahan R., Campbell G.: "Mutations in human breast cancer: an overview". J. Natl. Cancer Inst., 1989, 81, 1780.

[11] Knudson A.G.: "Antioncogenes and human cancer". Proc. Natl. Acad. Sci USA, 1993, 90, 10914.

[12] Nakayama S., Nakayama K., Takebayashi Y., Hata K., FujiwakiR. , Fukumoto M., Miyazaki K.: "Allelotypes as potential prognostic markers in ovarian carcinoma treated with cisplatin-based chemotherapy". Int. J. Mol. Med., 2003, 11, 621.

[13] Serov S.F., Scully R.E., Sobin L.H.: "Histopathological typing of ovarian tumors". International classification of tumors. Vol. 9. Geneva: WHO, 1973.

[14] Nakashima N., Nagasaka T., Oiwa N., Nara Y., Fukata S., Fukatsu T., Takeuchi J.: "Ovarian epithelial tumors of borderline malignancy in Japan". Gynecol. Oncol. , 1990, 38, 90.

[15] Tamakoshi K., Kikkawa F, Nakashima N., Tamakoshi A., KawaiM. , Furuhashi Y. et al.: "Clinical behavior of borderline ovarian tumors: a study of 150 cases". J. Surg. Oncol. , 1997, 64, 147.

[16] Nakayama K., Takebayashi Y., Namiki T., Tamahashi N.,Nakayama S., Uchida T. et al.: "Comprehensive allelotype study of ovarian tumors of low malignant potential: potential differences in pathways between tumors with and without genetic predisposition to invasive carcinoma". Int. J. Cancer, 2001, 94, 6051.

[17] Lengauer C., Kinzler K.W., Vogelstein B.: "Genetic instabilities in human cancers". Nature, 1998, 396, 643.

[18] Cahill D.P., Kinzler K.W., Vogelstein B., Lengauer C.: "Genetic instability and darwinian selection in tumours". Trends Cell Biol. , 1999, 9, M57.

[19] Sengupta P.S., Shanks J.H., Buckley C.H., Ryder W.D., Davies J., Reynolds K., Slade R.J., Kitchener H.C., Jayson G.C.: "Requirement for expert histopathological assessment of ovarian cancer and borderline tumors". Br. J. Cancer, 2000, 82, 760.


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