医学
比例危险模型
肿瘤科
宫颈癌
内科学
危险系数
辅助治疗
子宫内膜癌
队列
生存分析
多元分析
癌症
置信区间
作者
Yoo-Young Lee,Tae-Joong Kim,Jiyoung Kim,Chel Hun Choi,In‐Gu Do,Sang Yong Song,Insuk Sohn,Sin‐Ho Jung,Duk‐Soo Bae,Jeong‐Won Lee,Byoung‐Gie Kim
标识
DOI:10.1016/j.ygyno.2013.10.003
摘要
Recurrence is the major cause of death in early cervical cancer. We compared the prediction powers for disease recurrence between the gene set prognostic model and the clinical prognostic model.A gene set model to predict disease free survival was developed using the cDNA-mediated annealing, selection, extension, and ligation (DASL) assay data set from a cohort of early cervical cancer patients who had been treated with radical surgery with or without adjuvant therapy. A clinical prediction model was also developed using the same cohort, and the ability of predicting recurrence from each model was compared.Adequate DASL assay profiles were obtained from 300 patients, and we selected 12 genes for the gene set model. When patients were categorized as having a low or high risk by the prognostic score, the Kaplan-Meier curve showed significantly different recurrence rates between the two groups. The clinical model was developed using FIGO stage and post-surgical pathological findings. In multivariate Cox regression analysis of prognostic models, the gene set prognostic model showed a higher hazard ratio than that of the clinical prognostic model.The genetic quantitative approach may be better in predicting recurrence in early cervical cancer patients.
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