Skip to main content
SpringerLink
Log in

Elevated expression of MAC30 predicts lymph node metastasis and unfavorable prognosis in patients with epithelial ovarian cancer

  • Original Paper
  • Published:
Medical Oncology Aims and scope Submit manuscript

Abstract

Meningioma-associated protein (MAC30), first described to be overexpressed in meningiomas, exhibits altered expression in certain human tumors. The definite role of MAC30 is not clear now, and few studies have documented the value of MAC30 in epithelial ovarian cancer (EOC). The aim of this study was to investigate the expression of MAC30 in EOC and to evaluate its clinical significance in patients with EOC. A total of 266 patients with EOC who undergone complete cytoreductive surgery from November 2003 to September 2006 were eligible for this study. The expression of MAC30 in epithelial ovarian tumor tissues was examined immunohistochemically. High expression of MAC30 was observed in 66.17 % of EOC. The high MAC30 expression group had more advanced stages, poorer histological grade, lymph node metastasis, and recurrence than those with low MAC30 expression. Moreover, the presence of lymph node metastasis was significantly associated with MAC30 expression (OR 2.888, 95 % CI 1.428–5.838, P = 0.003). In addition, it was also shown that high MAC30 expression significantly correlated with poorer overall survival and progression-free survival (both P < 0.001). Multivariate Cox regression analysis revealed that MAC30 expression status was an independent prognostic factor for both overall survival and progression-free survival (P = 0.001 and P = 0.002, respectively) of patients with EOC. Our study provides evidence that patients with expression of MAC30 in EOC have high malignant potential, and MAC30 may serve as a new molecular marker to predict the lymph node metastasis and prognosis of patients with EOC in the clinic.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Jemal A, Siegel R, Xu J, Ward E. Cancer statistics. CA Cancer J Clin. 2010;60(5):277–300.

    Article  PubMed  Google Scholar 

  2. Rauh-Hain JA, Krivak TC, Del Carmen MG, Olawaiye AB. Ovarian cancer screening and early detection in the general population. Rev Obstet Gynecol. 2011;4(1):15–21.

    PubMed  Google Scholar 

  3. Di Re F, Baiocchi G. Value of lymph node assessment in ovarian cancer: status of the art at the end of the second millennium. Int J Gynecol Cancer. 2000;10(6):435–42.

    Article  PubMed  Google Scholar 

  4. Burghardt E, Girardi F, Lahousen M, Tamussino K, Stettner H. Patterns of pelvic and paraaortic lymph node involvement in ovarian cancer. Gynecol Oncol. 1991;40(2):103–6.

    Article  PubMed  CAS  Google Scholar 

  5. Katso RM, Manek S, Ganjavi H, Biddolph S, Charnock MF, Bradburn M, Wells M, Ganesan TS. Overexpression of H-Ryk in epithelial ovarian cancer: prognostic significance of receptor expression. Clin Cancer Res. 2000;6(8):3271–81.

    PubMed  CAS  Google Scholar 

  6. Cannistra SA. Cancer of the ovary. N Engl J Med. 2004;351(24):2519–29.

    Article  PubMed  CAS  Google Scholar 

  7. Murphy M, Pykett MJ, Harnish P, Zang KD, George DL. Identification and characterization of genes differentially expressed in meningiomas. Cell Growth Differ. 1993;4(9):715–22.

    PubMed  CAS  Google Scholar 

  8. Kayed H, Kleeff J, Ding J, Hammer J, Giese T, Zentgraf H, Büchler MW, Friess H. Expression analysis of MAC30 in human pancreatic cancer and tumors of the gastrointestinal tract. Histol Histopathol. 2004;19(4):1021–31.

    PubMed  CAS  Google Scholar 

  9. Yan BY, Wang DW, Zhu ZL, Yang YH, Wang MW, Cui DS, Zhang H, Sun XF. Overexpression of MAC30 in the cytoplasm of oral squamous cell carcinoma predicts nodal metastasis and poor differentiation. Chemotherapy. 2010;56(6):424–8.

    Article  PubMed  CAS  Google Scholar 

  10. Moparthi SB, Arbman G, Wallin A, Kayed H, Kleeff J, Zentgraf H, Sun XF. Expression of MAC30 protein is related to survival and biological variables in primary and metastatic colorectal cancers. Int J Oncol. 2007;30(1):91–5.

    PubMed  CAS  Google Scholar 

  11. Zhang ZY, Zhao ZR, Adell G, Jarlsfelt I, Cui YX, Kayed H, Kleeff J, Wang MW, Sun XF. Expression of MAC30 in rectal cancers with or without preoperative radiotherapy. Oncology. 2006;71(3–4):259–65.

    Article  PubMed  CAS  Google Scholar 

  12. Seidman JD, Russell P, Kurman RJ. Surface epithelial tumors of the ovary. In: Kurman RJ, TeLinde RW, editors. Blaustein’s pathology of the female genital tract. 5th ed. New York: Springer; 2002. p. 791–904.

    Google Scholar 

  13. Moparthi SB, Arbman G, Wallin A, Kayed H, Kleeff J, Zentgraf H, Sun XF. Expression of MAC30 protein is related to survival and biological variables in primary and metastatic colorectal cancers. Int J Oncol. 2007;30(1):91–5.

    PubMed  CAS  Google Scholar 

  14. Staging announcement. FIGO Cancer Committee. Gynecol Oncol 1986;25(3):383–5.

    Google Scholar 

  15. Naora H, Montell DJ. Ovarian cancer metastasis: integrating insights from disparate model organisms (review). Nat Rev Cancer. 2005;5(5):355–66.

    Article  PubMed  CAS  Google Scholar 

  16. Di Re F, Baiocchi G. Value of lymph node assessment in ovarian cancer: status of the art at the end of the second millennium. Int J Gynecol Cancer. 2000;10(6):435–42.

    Article  PubMed  Google Scholar 

  17. Cass I, Li AJ, Runowicz CD, Fields AL, Goldberg GL, Leuchter RS, Lagasse LD, Karlan BY. Pattern of lymph node metastasis in clinically unilateral stage I invasive epithelial ovarian carcinomas. Gynecol Oncol. 2001;80(1):56–61.

    Article  PubMed  CAS  Google Scholar 

  18. Morice P, Joulie F, Camatte S, Atallah D, Rouzier R, Pautier P, Pomel C, Lhommé C, Duvillard P, Castaigne D. Lymph node involvement in epithelial ovarian cancer: analysis of 276 pelvic and paraaortic lymphadenectomies and surgical implications. J Am Coll Surg. 2003;197(2):198–205.

    Article  PubMed  Google Scholar 

  19. Di Re F, Baiocchi G, Fontanelli R, Grosso G, Cobellis L, Raspagliesi F, Di Re E. Systematic pelvic and paraaortic lymphadenectomy for advanced ovarian cancer: prognostic significance of node metastasis. Gynecol Oncol. 1996;62(3):360–5.

    Article  PubMed  Google Scholar 

  20. Onda T, Yoshikawa H, Yokota H, Yasugi T, Taketani Y. Assessment of metastasis to aortic and pelvic lymph nodes in epithelial ovarian carcinoma. A proposal for essential sites for lymph node biopsy. Cancer. 1996;78(4):803–8.

    Article  PubMed  CAS  Google Scholar 

  21. Benedetti-Panici P, Greggi S, Maneschi F, Scambia G, Amoroso M, Rabitti C, et al. Anatomical and pathological study of retroperitoneal nodes in epithelial ovarian cancer. Gynecol Oncol. 1993;51(2):150–4.

    Article  PubMed  CAS  Google Scholar 

  22. Petru E, Lahousen M, Tamussino K, Pickel H, Stranzl H, Stettner H, Winter R. Lymphadenectomy in stage I ovarian cancer. Am J Obstet Gynecol. 1994;170(2):656–62.

    PubMed  CAS  Google Scholar 

  23. Wu PC, Qu JY, Lang JH, Huang RL, Tang MY, Lian LJ. Lymph node metastasis of ovarian cancer: a preliminary survey of 74 cases of lymphadenectomy. Am J Obstet Gynecol. 1986;155(5):1103–8.

    PubMed  CAS  Google Scholar 

  24. Zhao ZR, Zhang LJ, He XQ, Zhang ZY, Zhang F, Li F, Pei YB, Hu YM, Wang MW, Sun XF. Significance of mRNA and protein expression of MAC30 in progression of colorectal cancer. Chemotherapy. 2011;57(5):394–401.

    Article  PubMed  CAS  Google Scholar 

  25. Malhotra K, Luehrsen KR, Costello LL, Raich TJ, Sim K, Foltz L, Davidson S, Xu H, Chen A, Yamanishi DT, Lindemann GW, Cain CA, Madlansacay MR, Hashima SM, Pham TL, Mahoney W, Schueler PA. Identification of differentially expressed mRNAs in human fetal liver across gestation. Nucleic Acids Res. 1999;27(3):839–47.

    Article  PubMed  CAS  Google Scholar 

  26. Atalay A, Crook T, Ozturk M, Yulug IG. Identification of genes induced by BRCA1 in breast cancer cells. Biochem Biophys Res. 2002;299(5):839–46.

    Article  CAS  Google Scholar 

  27. Monteiro AN. BRCA1: the enigma of tissue-specific tumor development. Trends Genet. 2003;19(6):312–5.

    Article  PubMed  CAS  Google Scholar 

  28. Rosen EM, Fan S, Pestell RG, Goldberg ID. BRCA1 gene in breast cancer. J Cell Physiol. 2003;196(1):19–41.

    Article  PubMed  CAS  Google Scholar 

  29. Kannan K, Amariglio N, Rechavi G, Jakob-Hirsch J, Kela I, Kaminski N, Getz G, Domany E, Givol D. DNA microarrays identification of primary and secondary target genes regulated by p53. Oncogene. 2001;20(18):2225–34.

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

This work was supported by grants from Heilongjiang Special Funds for outstanding youth (No. JC201108), Heilongjiang Province, China. The authors thank all the people and patients who had participated in this study.

Conflict of interest

We declare that there are no conflicts of interest.

Author information

Authors and Affiliations

  1. Department of Gynecology, The Affiliated Tumor Hospital of Harbin Medical University, Baojian Road 6, Nangang District, Harbin, 150081, China

    Shanshan Yang, Yunduo Liu, Fanling Meng, Ge Lou & Yunyan Zhang

  2. Department of Radiotherapy, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, China

    Huiyan Li

  3. Department of Pathology, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, China

    Xiaoming Ning

  4. Department of Breast Surgery, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, China

    Min Xiao

  5. Department of Gynecology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China

    Deying Wang

Authors
  1. Shanshan Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Huiyan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yunduo Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xiaoming Ning
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Fanling Meng
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Min Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Deying Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Ge Lou
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Yunyan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Ge Lou or Yunyan Zhang.

Additional information

Shanshan Yang and Huiyan Li contributed equally to this manuscript.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yang, S., Li, H., Liu, Y. et al. Elevated expression of MAC30 predicts lymph node metastasis and unfavorable prognosis in patients with epithelial ovarian cancer. Med Oncol 30, 324 (2013). https://doi.org/10.1007/s12032-012-0324-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12032-012-0324-7

Keywords

Search

Navigation