期刊
BMC MEDICINE
卷 17, 期 -, 页码 -出版社
BMC
DOI: 10.1186/s12916-019-1379-5
关键词
BRAF Val600Glu mutation; Colorectal cancer; Cox model with time-varying effects; Early outcome markers; Late outcome markers; Long-term follow-up; MSI; Prognostic markers; Time-varying effects
资金
- Dean's Transition Funds
- TPMI/NL Support Educational Funding Award
- Dean's Fellowship (Faculty of Medicine, Memorial University)
- Terry Fox Research Institute
BackgroundColorectal cancer is the third most common cancer in the world. In this study, we assessed the long-term survival characteristics and prognostic associations and potential time-varying effects of clinico-demographic variables and two molecular markers (microsatellite instability (MSI) and BRAF Val600Glu mutation) in a population-based patient cohort followed up to similar to 19years.MethodsThe patient cohort included 738 incident cases diagnosed between 1999 and 2003. Cox models were used to analyze the association between the variables and a set of survival outcome measures (overall survival (OS), disease-specific survival (DSS), recurrence-free survival (RFS), metastasis-free survival (MFS), recurrence/metastasis-free survival (RMFS), and event-free survival (EFS)). Cox proportional hazard (PH) assumption was tested for all variables, and Cox models with time-varying effects were used if any departure from the PH assumption was detected.ResultsDuring the follow-up, similar to 61% patients died from any cause, similar to 26% died from colorectal cancer, and similar to 10% and similar to 20% experienced recurrences and distant metastases, respectively. Stage IV disease and post-diagnostic recurrence or metastasis were strongly linked to risk of death from colorectal cancer. If a patient had survived the first 6years without any disease-related event (i.e., recurrence, metastasis, or death from colorectal cancer), their risks became very minimal after this time period. Distinct sets of markers were associated with different outcome measures. In some cases, the effects by variables were constant throughout the follow-up. For example, MSI-high tumor phenotype and older age at diagnosis predicted longer MFS times consistently over the follow-up. However, in some other cases, the effects of the variables varied with time. For example, adjuvant radiotherapy treatment was associated with increased risk of metastasis in patients who received this treatment after 5.5years post-diagnosis, but not before that.ConclusionsThis study describes the long-term survival characteristics of a prospective cohort of colorectal cancer patients, relationships between baseline variables and a detailed set of patient outcomes over a long time, and time-varying effects of a group of variables. The results presented advance our understanding of the long-term prognostic characteristics in colorectal cancer and are expected to inspire future studies and clinical care strategies.
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