The transcriptomic profile of ovarian cancer grading

被引:2
|
作者
Yao, Cindy Q. [1 ,2 ]
Francis Nguyen [1 ]
Haider, Syed [1 ,3 ]
Starmans, Maud H. W. [1 ,4 ]
Lambin, Philippe [4 ]
Boutros, Paul C. [1 ,2 ,5 ]
机构
[1] Ontario Inst Canc Res, Informat & Biocomp Program, Toronto, ON, Canada
[2] Univ Toronto, Dept Med Biophys, Toronto, ON, Canada
[3] Univ Cambridge, Comp Lab, Cambridge CB2 3QG, England
[4] Maastricht Univ Med Ctr, GROW Sch Oncol & Dev Biol, Dept Radiat Oncol Maastro, Maastricht, Netherlands
[5] Univ Toronto, Dept Pharmacol & Toxicol, Toronto, ON, Canada
来源
CANCER MEDICINE | 2015年 / 4卷 / 01期
关键词
Grading; linear modeling; microarray; ovarian carcinoma; serous subtype; survival analysis; SEROUS CARCINOMA; GENE-EXPRESSION; STAGE; PROGNOSIS; PATTERNS; FEATURES; BEHAVIOR; SUBTYPES; SYSTEM;
D O I
10.1002/cam4.343
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:56 / 64
页数:9
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