Literature DB >> 25819431

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

Séverine Gilard-Pioc1, Michal Abrahamowicz2, Amel Mahboubi1, Anne-Marie Bouvier3, Olivier Dejardin4, Ella Huszti5, Christine Binquet6, Catherine Quantin7.   

Abstract

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 multi-state 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.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Colorectal cancer; Multi-state Markov model; Prognostic studies; Progression; Relative survival

Mesh:

Year:  2015        PMID: 25819431     DOI: 10.1016/j.canep.2015.03.005

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  6 in total

1.  Risk of relapse and death from colorectal cancer and its related factors using non-Markovian Multi-State model.

Authors:  Saeideh Hajebi Khaniki; Vahid Fakoor; Soodabeh Shahid Sales; Habibollah Esmaily; Hamid Heidarian Miri
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2020

2.  The continuum of breast cancer care and outcomes in the U.S. Military Health System: an analysis by benefit type and care source.

Authors:  Yvonne L Eaglehouse; Stephanie Shao; Wenyaw Chan; Derek Brown; Janna Manjelievskaia; Craig D Shriver; Kangmin Zhu
Journal:  J Cancer Surviv       Date:  2018-02-17       Impact factor: 4.442

3.  Applying Additive Hazards Models for Analyzing Survival in Patients with Colorectal Cancer in Fars Province, Southern Iran

Authors:  Farzan Madadizadeh; Amin Ghanbarnejad; Vahid Ghavami; Mohammad Zare Bandamiri; Mohammad Mohammadianpanah
Journal:  Asian Pac J Cancer Prev       Date:  2017-04-01

4.  Relaxing the assumption of constant transition rates in a multi-state model in hospital epidemiology.

Authors:  Micki Hill; Paul C Lambert; Michael J Crowther
Journal:  BMC Med Res Methodol       Date:  2021-01-11       Impact factor: 4.615

5.  Comparison of the Prognostic Utility of the Diverse Molecular Data among lncRNA, DNA Methylation, microRNA, and mRNA across Five Human Cancers.

Authors:  Li Xu; Liang Fengji; Liu Changning; Zhang Liangcai; Li Yinghui; Li Yu; Chen Shanguang; Xiong Jianghui
Journal:  PLoS One       Date:  2015-11-25       Impact factor: 3.240

6.  Multi-state model for predicting ocular progression in acute Stevens-Johnson syndrome/toxic epidermal necrolysis.

Authors:  Fumie Kinoshita; Isao Yokota; Hiroki Mieno; Mayumi Ueta; John Bush; Shigeru Kinoshita; Hirohiko Sueki; Hideo Asada; Eishin Morita; Masanori Fukushima; Chie Sotozono; Satoshi Teramukai
Journal:  PLoS One       Date:  2021-12-23       Impact factor: 3.240

  6 in total

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