Evaluation of the Time-Varying Effect of Prognostic Factors on Survival in Ovarian Cancer

被引:9
作者
Chang, Chung [1 ]
Chiang, An Jen [2 ,3 ,4 ,5 ]
Wang, Hui-Ching [1 ]
Chen, Wei-An [1 ]
Chen, Jiabin [6 ]
机构
[1] Natl Sun Yat Sen Univ, Dept Appl Math, Kaohsiung 80424, Taiwan
[2] Kaohsiung Vet Gen Hosp, Dept Obstet & Gynecol, Kaohsiung, Taiwan
[3] Natl Sun Yat Sen Univ, Dept Biol Sci, Kaohsiung 80424, Taiwan
[4] Tajen Univ, Dept Pharm, Pingtung, Taiwan
[5] Tajen Univ, Grad Inst Pharmaceut Technol, Pingtung, Taiwan
[6] Natl Sun Yat Sen Univ, Med Sci & Technol Ctr, Kaohsiung 80424, Taiwan
关键词
REGRESSION-MODEL; COX MODELS; CA-125; NADIR; CHEMOTHERAPY; DISEASE; CA125; LEVEL; RISK; LIFE;
D O I
10.1245/s10434-015-4493-4
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
To explore the risk factors in ovarian cancer with respects of time-varying effects on recurrence and survival. Two hundred and ninety-eight patients with epithelial ovarian cancer in the Kaohsiung Veterans' General Hospital from January 1995 to the end of 2011 were included in the study. The assumption of the Cox proportional hazard model, i.e., the hazard ratio is a constant with time, was tested for available prognostic factors. An extended Cox model was then applied, and a statistical package was constructed to perform multivariate analysis in presence of both time-varying and time-independent factors. Most prognostic factors met the assumption of the Cox proportional hazard model (p > 0.05) except for cancer-associated antigen (CA) 125 nadir concentration during first-line chemotherapy (p = 0.02). Multivariate analysis, where CA125 nadir was allowed to change with time while other factors remained constant, showed that International Federation of Gynecology and Obstetrics (FIGO) stage, residual tumor, CA125 nadir, and age were independent risk factors for recurrence and death. The effect of CA125 nadir on recurrence and overall survival is not constant over time. It loses predictivity on recurrence and survival after 4.5 years. Awareness of the time-varying effects of the prognostic factors is beneficial to gynecologists in patient consultation and case evaluation.
引用
收藏
页码:3976 / 3980
页数:5
相关论文
共 24 条
[1]   FURTHER RESULTS ON THE NONPARAMETRIC LINEAR-REGRESSION MODEL IN SURVIVAL ANALYSIS [J].
AALEN, OO .
STATISTICS IN MEDICINE, 1993, 12 (17) :1569-1588
[2]  
[Anonymous], 2010, R LANG ENV STAT COMP
[3]  
[Anonymous], DYNAMIC REGRESSION M
[4]   A longitudinal analysis with CA-125 to predict overall survival in patients with ovarian cancer [J].
Chiang, An Jen ;
Chen, Jiabin ;
Chung, Yu-He ;
Huang, Huan-Jung ;
Liou, Wen Shiung ;
Chang, Chung .
JOURNAL OF GYNECOLOGIC ONCOLOGY, 2014, 25 (01) :51-57
[5]  
COX DR, 1972, J R STAT SOC B, V34, P187
[6]   Surveillance procedures for patients treated for epithelial ovarian cancer: a review of the literature [J].
Gadducci, A. ;
Cosio, S. ;
Zola, P. ;
Landoni, F. ;
Maggino, T. ;
Sartori, E. .
INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER, 2007, 17 (01) :21-31
[7]   Survival Analysis of Patients with Heart Failure: Implications of Time-Varying Regression Effects in Modeling Mortality [J].
Giolo, Suely Ruiz ;
Krieger, Jose Eduardo ;
Mansur, Alfredo Jose ;
Pereira, Alexandre Costa .
PLOS ONE, 2012, 7 (06)
[8]   Comparing smoothing techniques in Cox models for exposure-response relationships [J].
Govindarajulu, Usha S. ;
Spiegelman, Donna ;
Thurston, Sally W. ;
Ganguli, Bhaswati ;
Eisen, Ellen A. .
STATISTICS IN MEDICINE, 2007, 26 (20) :3735-3752
[9]   Role of CA125 in predicting ovarian cancer survival - a review of the epidemiological literature [J].
Gupta, Digant ;
Lis, Christopher G. .
JOURNAL OF OVARIAN RESEARCH, 2009, 2 (01)
[10]  
Holschneider CH, 2000, SEMIN SURG ONCOL, V19, P3, DOI 10.1002/1098-2388(200007/08)19:1<3::AID-SSU2>3.0.CO