Journals / Haseki Tıp Bülteni / 2020 / Cilt: 58 - Sayı: 5

Microsatellite Instability in Ovarian Invasive and Borderline Epithelial Tumors and Comparison with Prognostic Parameters

Overin İnvazif ve Borderline Epitelyal Tümörlerinde Mikrosatellit İnstabilite ve Prognostik Parametreler ile Karşılaştırılması

Pages
452–459
Publication Date
2022-10-17
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The only correlation was detected between tumortype and MMR protein loss (p

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Aim: Ovarian cancers, 20% of which are hereditary, areconsidered the most lethal gynecological malignancies.
📊
Key Findings & Data:In thisstudy, we aimed to determine microsatellite instability status ininvasive and borderline epithelial ovarian tumors diagnosed viaimmunohistochemistry in our clinic and compare the results withseveral prognostic parameters and survival.Methods: In this retrospective study, 159 epithelial ovariantumors were evaluated for age, tumor type, histological gradeand Federation of Gynecology and Obstetrics (FIGO) stage as wellas survival.
💡
Conclusion & Impact:The only correlation was detected between tumortype and MMR protein loss (p
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Aim: Ovarian cancers, 20% of which are hereditary, areconsidered the most lethal gynecological malignancies. Defectson DNA mismatch repair (MMR) genes are responsible forhereditary ovarian tumors related with Lynch syndrome. In thisstudy, we aimed to determine microsatellite instability status ininvasive and borderline epithelial ovarian tumors diagnosed viaimmunohistochemistry in our clinic and compare the results withseveral prognostic parameters and survival.Methods: In this retrospective study, 159 epithelial ovariantumors were evaluated for age, tumor type, histological gradeand Federation of Gynecology and Obstetrics (FIGO) stage as wellas survival. MMR protein expression was immunohistochemicallyexamined and absence of nuclear staining in tumor cells wasconsidered MMR protein expression loss. All prognosticparameters were compared and analysed statistically.Results: MMR protein expression loss showed no statisticallysignificant relationship with FIGO stage, age, histological grade,and survival. The only correlation was detected between tumortype and MMR protein loss (p

Özet

Amaç: Yüzde 20’si herediter olan over kanseri en ölümcül jinekolojik malignitedir. DNA mismatch onarım (MMR) genlerindeki defektler, Lynch sendromu ile ilişkili herediter over tümörlerinden sorumludur. Bu çalışmada invazif ve borderline epitelyal over tümörlerinde mikrosatellit instabilite araştırılmakta olup sonuçlar çeşitli prognostik parametreler ile karşılaştırılmıştır. Yöntemler: Bu retrospektif çalışmada 159 epitelyal over tümörü, yaş, tümör tipi, histolojik grade ve Uluslararası Kadın Doğum Dernekleri Federasyonu (FIGO) evreleme yanısıra sağkalım yönünden incelenmiştir. MMR ekspresyonu immünohistokimyasal olarak araştırılmış olup tümör hücrelerinde nükleer boyanma kaybı, MMR ekspresyon kaybı olarak kabul edilmiştir. Tüm prognostik parametreler karşılaştırılmış ve tüm veriler istatistiksel olarak incelenmiştir. Bulgular: MMR protein ekspresyon kaybı ile FIGO evresi, yaş, histolojik grade ve sağkalım arasında istatistiksel olarak anlamlı ilişki saptanmamıştır. Sadece tümör tipi ile MMR kaybı arasında anlamlı bir korelasyon bulunmuştur (p

🔖

Cite This Article

GÜL, A. E., KESER, S. H., SENSU, S., TÜRKEL, F. İ., BARIŞIK, N. Ö. (2022). Microsatellite Instability in Ovarian Invasive and Borderline Epithelial Tumors and Comparison with Prognostic Parameters. Haseki Tıp Bülteni, Cilt: 58 - Sayı: 5, 452–459. https://ajindex.com/articles/535023

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Ministery of Health, General Directorate of Public Health, Turkey Cancer Statistics 2015. Access data: June 2019
  2. Hollis RL, Gourley C. Genetic and molecular changes in ovarian cancer. Cancer Biol Med 2016;13:236-47
  3. Pal T, Permuth-Wey J, Kumar A, Sellers TA. Systematic review and meta-analysis of ovarian cancers: estimation of microsatellite-high frequency and characterization of mismatch repair deficient tumor histology. Clin Cancer Res 2008;14:6847-54
  4. Cai SY, Yang T, Chen Y, Wang JW, Li L, Xu MJ. Gene expression profiling of ovarian carcinomas and prognostic analysis of outcome. J Ovarian Res 2015;8:50
  5. Jung J, Kang Y, Lee YJ, et al. Comparison of the Mismatch Repair System between Primary and Metastatic Colorectal Cancers Using Immunohistochemistry. J Pathol Transl Med 2017;51:129-36
  6. Mukherjee A, McGarrity TJ, Ruggiero F, et al. The revised Bethesda guidelines: extent of utilization in a university hospital medical center with a cancer genetics program. Hered Cancer Clin Pract 2010;8:9
  7. Colle R, Cohen R, Cochereau D, et al. Immunotherapy and patients treated for cancer with microsatellite instability. Bull Cancer 2017;104:42-51
  8. Lee JH, Cragun D, Thompson Z, et al. Association between IHC and MSI testing to identify mismatch repair-deficient patients with ovarian cancer. Genet Test Mol Biomarkers 2014;18:229-35
  9. Boland CR, Goel A. Microsatellite instability in colorectal cancer. Gastroenterology 2010;138:2073-87.e3
  10. Rosen DG, Cai KQ, Luthra R, Liu J. Immunohistochemical staining of hMLH1 and hMSH2 reflects microsatellite instability status in ovarian carcinoma. Modern Pathology 2006;19:1414-20
  11. Park JM, Kim MK. Hereditary risk evaluation for borderline ovarian tumors based on immunohistochemistry. J Menopausal Med 2014;20:14-20
  12. Vierkoetter KR, Ayabe AR, VanDrunen M, Ahn HJ, Shimizu DM, Terada KY. Lynch Syndrome in patients with clear cell and endometrioid cancers of the ovary. Gynecol Oncol 2014;135:81-4
  13. Gras E, Catasus L, Arguelles R, et al. Microsatellite instability, MLH-1 promoter hypermethylation, and frameshift mutations at coding mononucleotide repeat microsatellites in ovarian tumors. Cancer 2001;92:2829-36
  14. Song H, Cicek MS, Dicks E, et al. The contribution of deleterious germline mutations in BRCA1, BRCA2 and the mismatch repair genes to ovarian cancer in the population. Hum Mol Genet 2014;23:4703-9
  15. Jensen KC, Rajan M, Putcha GV, et al. Microsatellite instability and mismatch repair prot