Multi-state relative survival modelling of colorectal cancer progression and mortality

被引:13
|
作者
Gilard-Pioc, Severine [1 ,2 ]
Abrahamowicz, Michal [3 ,4 ,5 ]
Mahboubi, Amel [1 ,2 ]
Bouvier, Anne-Marie [2 ,6 ]
Dejardin, Olivier [7 ,8 ]
Huszti, Ella [9 ]
Binquet, Christine [2 ]
Quantin, Catherine [1 ,10 ]
机构
[1] Teaching Hosp, Dept Biostat & Med Informat DIM, F-21000 Dijon, France
[2] Univ Burgundy, INSERM, U866, F-21000 Dijon, France
[3] McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, Montreal, PQ, Canada
[4] Univ Ocean Indien, Ile De La Reunion, France
[5] CHU La Reunion, Ctr Etudes Perinat Ocean Indien, F-97448 St Pierre, France
[6] Univ Burgundy, Univ Hosp Dijon, INSERM, Digest Canc Registry Burgundy,U866, F-21079 Dijon, France
[7] CHU Caen, Dept Rech Epidemiol & Evaluat, F-14000 Caen, France
[8] Univ Hosp Caen, INSERM, UCBN Canc & Prevent, U1086, Caen, France
[9] Campbell Family Inst Breast Canc Res, Princess Margaret Canc Ctr, Toronto, ON M5G 2M9, Canada
[10] INSERM, CIC 1432, Dijon, France
关键词
Colorectal cancer; Prognostic studies; Progression; Multi-state Markov model; Relative survival; PROGNOSTIC-FACTORS; REGRESSION-MODELS; NET SURVIVAL; DEATH; RISK; TIME; RECURRENCE; NEOPLASIA; IMPACT;
D O I
10.1016/j.canep.2015.03.005
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Accurate identification of factors associated with progression of colorectal cancer remains a challenge. In particular, it is unclear which statistical methods are most suitable to separate the effects of putative prognostic factors on cancer progression vs cancer-specific and other cause mortality. To address these challenges, we analyzed 10 year follow-up data for patients who underwent curative surgery for colorectal cancer in 1985-2000. Separate analyses were performed in two French cancer registries. Results of three multivariable models were compared: Cox model with recurrence as a time-dependent variable, and two multi-state models, which separated prognostic factor effects on recurrence vs death, with or without recurrence. Conventional multi-state model analyzed all-cause mortality while new relative survival multi-state model focused on cancer-specific mortality. Among the 2517 and 2677 patients in the two registries, about 50% died without a recurrence, and 28% had a recurrence, of whom almost 90% died. In both multi-state models men had significantly increased risk of cancer recurrence in both registries (HR = 0.79; 95% CI: 0.68-0.92 and HR = 0.83; 95% CI: 0.71-0.96). However, the two multistate models identified different prognostic factors for mortality without recurrence. In contrast to the conventional model, in the relative survival analyses gender had no independent association with cancer-specific mortality whereas patients diagnosed with stage III cancer had significantly higher risks in both registries (HR = 1.67; 95% CI: 1.27-2.22 and HR = 2.38; 95% CI: 1.29-3.27). In conclusion, relative survival multi-state model revealed that different factors may be associated with cancer recurrence vs cancer-specific mortality either after or without a recurrence. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:447 / 455
页数:9
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