The transcriptomic profile of ovarian cancer grading

Cindy Q. Yao, Francis Nguyen, Syed Haider, Maud H. W. Starmans, Philippe Lambin, Paul C. Boutros*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Web of Science)


Ovarian carcinoma is the leading cause of gynecological malignancy, with the serous subtype being the most commonly presented subtype. Recent studies have demonstrated that grade does not yield significant prognostic information, independent of TNM staging. As such, several different grading systems have been proposed to reveal morphological characteristics of these tumors, however each yield different results. To help address this issue, we performed a rigorous computational analysis to better understand the molecular differences that fundamentally explain the different grades and grading systems. mRNA abundance levels were analyzed across 334 total patients and their association with each grade and grading system were assessed. Few molecular differences were observed between grade 2 and 3 tumors when using the International Federation of Gynecology and Obstetrics (FIGO) grading system, suggesting their molecular similarity. In contrast, grading by the Silverberg system reveals that grades 1-3 are molecularly equidistant from one another across a spectrum. Additionally, we have identified a few candidate genes with good prognostic information that could potentially be used for classifying cases with similar morphological appearances.
Original languageEnglish
Pages (from-to)56-64
JournalCancer Medicine
Issue number1
Publication statusPublished - Jan 2015


  • Grading
  • linear modeling
  • microarray
  • ovarian carcinoma
  • serous subtype
  • survival analysis

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