Can we predict who lives long with ovarian cancer?

被引：17

作者：

Bookman, Michael A. ^{[1
]}

机构：

[1] Kaiser Permanente San Francisco, Gynecol Oncol Therapeut, 2238 Geary Blvd,Rm 2E303, San Francisco, CA 94115 USA

来源：

CANCER | 2019年 / 125卷

关键词：

clinical biomarkers; nomograms; ovarian cancer; platinum-free interval; prognosis; ADVANCED-STAGE; SURVIVAL; NOMOGRAM; SURGERY; WOMEN;

D O I：

10.1002/cncr.32474

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Women with ovarian cancer benefit from individualized management that incorporates advanced imaging technologies, sophisticated cytoreductive surgery integrated with combination chemotherapy, genetic risk assessment, and tumor molecular profiling. However, advanced ovarian cancer remains a highly lethal disease because of early peritoneal dissemination, rapid development of resistance to key therapeutic agents, and evasion of the host immune response. Over the last 15 years, several models and nomograms have been developed to predict surgical outcomes, progression-free survival, or overall survival on the basis of clinical and pathologic data available at the primary diagnosis and recurrence. Each of these models has its strengths and limitations, and they provide a basis for future models that will incorporate functional imaging and molecular characteristics.

引用

页码：4578 / 4581

页数：4

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