Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2012 Sep 25;107(7):1069-74.
doi: 10.1038/bjc.2012.376. Epub 2012 Aug 30.

Does tumour biology determine surgical success in the treatment of epithelial ovarian cancer? A systematic literature review

Affiliations

Does tumour biology determine surgical success in the treatment of epithelial ovarian cancer? A systematic literature review

J Borley et al. Br J Cancer. .

Abstract

Background: Ovarian cancer is the most lethal gynaecological cancer. Progression-free and overall survival is significantly related to surgical success and residual disease volume. It is unclear whether this survival advantage is due to an intrinsic biological element of the tumour cells which enables successful surgery and improved prognosis, or alternatively the number of tumour sustaining cells remaining irrespective of differences in biology.

Methods: A systematic review of the literature was performed identifying studies that have investigated the association between biomarkers and surgical outcomes. We attempted validation of these results using The Cancer Genome Atlas ovarian cancer data sets.

Results: Thirty studies were identified of which sixteen determined protein expression, eight gene expression and one DNA methylation in association with surgical debulking. Individualised linear models adjusting for batch, stage and age identified only expression of the genes MTDH and insulin-like growth factor-1 receptor (IGF1R) to be significantly associated with debulking surgery (P<0.05, false discovery rate (FDR)<5%), although in the case of IGF1R this was in the opposite direction to previous findings.

Conclusion: The majority of studies are limited by design, include heterogeneous samples and lack adjustment for major confounding factors. High quality detailed clinical annotations should be routinely collected in future to more accurately evaluate biomarkers of surgical outcome.

PubMed Disclaimer

References

    1. An Y, Cai L, Wang Y, Zhu D, Guan Y, Zheng J (2009) Local expression of insulin-like growth factor-I, insulin-like growth factor-I receptor, and estrogen receptor alpha in ovarian cancer. Onkologie 32(11): 638–644 - PubMed
    1. Bar JK, Harłozińska A, Popiela A, Noga L (2001) Expression and mutation of p53 in tumor effusion cells of patients with ovarian carcinoma: response to cisplatin-based chemotherapy. Tumour Biol 22(2): 83–91 - PubMed
    1. Barnett JC, Bean SM, Whitaker RS, Kondoh E, Baba T, Fujii S, Marks JR, Dressman HK, Murphy SK, Berchuck A (2010) Ovarian cancer tumor infiltrating T-regulatory (T(reg)) cells are associated with a metastatic phenotype. Gynecol Oncol 116(3): 556–562 - PubMed
    1. Berchuck A, Iversen ES, Lancaster JM, Dressman HK, West M, Nevins JR, Marks JR (2004) Prediction of optimal versus suboptimal cytoreduction of advanced-stage serous ovarian cancer with the use of microarrays. Am J Obstet Gynecol 190(4): 910–925 - PubMed
    1. Bonome T, Levine DA, Shih J, Randonovich M, Pise-Masison CA, Bogomolniy F, Ozbun L, Brady J, Barrett JC, Boyd J, Birrer MJ (2008) A gene signature predicting for survival in suboptimally debulked patients with ovarian cancer. Cancer Res 68(13): 5478–5486 - PMC - PubMed

Publication types

MeSH terms

Substances