Genetic classification of ovarian carcinoma based on microsatellite analysis: Relationship to clinicopathological features and patient survival

  • Authors:
    • Zhang Huan
    • Kentaro Nakayama
    • Naomi Nakayama
    • Masako Ishibashi
    • Shamima Yeasmin
    • Atsuko Katagiri
    • Indri Nuryani Purwana
    • Kouji Iida
    • Riruke Maruyama
    • Manabu Fukumoto
    • Kohji Miyazaki
  • View Affiliations

  • Published online on: March 1, 2008     https://doi.org/10.3892/or.19.3.775
  • Pages: 775-781
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Abstract

Ovarian carcinomas can progress through two pathways of genomic instability: chromosomal instability (CIN) and microsatellite instability (MSI). However, it is unknown whether these two mechanisms could be distinguished from each other in the molecular characteristics in ovarian carcinomas. We hypothesized that these two pathways are not always independent in ovarian carcinomas. We classified 51 ovarian carcinomas based on their MSI and CIN status using microsatellite analysis and assessed whether these carcinogenic pathways affect the clinicopathological features and patient survival. Of the 51 cases, 77.4% of the tumors were microsatellite stable (MSS), 5.9% were MSI-Low (MSI-L) whilst, 16.7% were MSI-High (MSI-H). Overall, 56.8% of the tumors had at least one loss of heterozygosity (LOH) event, i.e., 56.8% CIN. Notably, we identified a significant degree of overlap between the MSI and CIN pathways. Of the 34 tumors with LOH events (CIN), 5 (14.7%) were MSI-H. In addition, of the 7 tumors that were MSI-H, 5 (71.4%) had one or more LOH events (CIN). We also identified a group of 29.4% of all tumors that did not demonstrate any evidence of either of the two pathways of genomic instability as they were MSS/MSI-L with no evidence of LOH events (CIN negative). Furthermore, patients with CIN with MSS/MSI-L have a significantly shorter overall survival compared to those in other genetic categories (P=0.019). Cox regression analysis revealed that tumors with CIN with MSS/MSI-L exhibit a poor prognostic outcome after adjustment for FIGO stage and grade. These findings suggest that some ovarian carcinomas have a significant degree of overlap between the two pathways of genomic instability and that the genetic classification using microsatellite markers may represent a potential new biomarker of risk prediction in ovarian carcinoma.

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March 2008
Volume 19 Issue 3

Print ISSN: 1021-335X
Online ISSN:1791-2431

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Spandidos Publications style
Huan Z, Nakayama K, Nakayama N, Ishibashi M, Yeasmin S, Katagiri A, Purwana IN, Iida K, Maruyama R, Fukumoto M, Fukumoto M, et al: Genetic classification of ovarian carcinoma based on microsatellite analysis: Relationship to clinicopathological features and patient survival. Oncol Rep 19: 775-781, 2008.
APA
Huan, Z., Nakayama, K., Nakayama, N., Ishibashi, M., Yeasmin, S., Katagiri, A. ... Miyazaki, K. (2008). Genetic classification of ovarian carcinoma based on microsatellite analysis: Relationship to clinicopathological features and patient survival. Oncology Reports, 19, 775-781. https://doi.org/10.3892/or.19.3.775
MLA
Huan, Z., Nakayama, K., Nakayama, N., Ishibashi, M., Yeasmin, S., Katagiri, A., Purwana, I. N., Iida, K., Maruyama, R., Fukumoto, M., Miyazaki, K."Genetic classification of ovarian carcinoma based on microsatellite analysis: Relationship to clinicopathological features and patient survival". Oncology Reports 19.3 (2008): 775-781.
Chicago
Huan, Z., Nakayama, K., Nakayama, N., Ishibashi, M., Yeasmin, S., Katagiri, A., Purwana, I. N., Iida, K., Maruyama, R., Fukumoto, M., Miyazaki, K."Genetic classification of ovarian carcinoma based on microsatellite analysis: Relationship to clinicopathological features and patient survival". Oncology Reports 19, no. 3 (2008): 775-781. https://doi.org/10.3892/or.19.3.775