ArticleBMC medicine2019
The long-term survival characteristics of a cohort of colorectal cancer patients and baseline variables associated with survival outcomes with or without time-varying effects.
Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Mortality rate and predictors of colorectal cancer patients in Ethiopia: a systematic review and meta-analysis.BMC cancer · 2024Pooled it
- The role of piRNAs in predicting and prognosing in cancer: a focus on piRNA-823 (a systematic review and meta-analysis).BMC cancer · 2024Pooled it
- Prognostic and clinicopathological insights of phosphodiesterase 9A gene as novel biomarker in human colorectal cancer.BMC cancer · 2021Pooled it
- Circulating tumor DNA as a biomarker of prognosis prediction in colorectal cancer: a systematic review and meta-analysis.Journal of the National Cancer Center · 2025Article
- Follow-Up Adherence After Treatment With Curative Intent for Stage II and III Colorectal Cancer Patients.Cancer medicine · 2025Article
- Article
- Transcripts of splicing factors with time-varying associations with survival outcomes in colorectal cancer.American journal of cancer research · 2025Article
- Cumulative Incidence, Risk Factors, and Overall Survival of Disease Recurrence after Curative Resection of Stage II-III Colorectal Cancer: A Population-based Study.Cancer research communications · 2024Article
- Therapy-Induced Senescence Contributes to the Efficacy of Abemaciclib in Patients with Dedifferentiated Liposarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024Article
- Machine Learning as a Tool for Early Detection: A Focus on Late-Stage Colorectal Cancer across Socioeconomic Spectrums.Cancers · 2024Article
- Variation in colorectal cancer treatment and outcomes in Scotland: real world evidence from national linked administrative health data.International journal of population data science · 2024Article
- Predicting Survival Among Colorectal Cancer Patients: Development and Validation of Polygenic Survival Score.Clinical and experimental gastroenterology · 2024Article
- Preoperative intravenous iron treatment - a cohort study on colorectal cancer recurrence.Surgery open science · 2023Article
- NALCN is a potential biomarker and therapeutic target in human cancers.Frontiers in genetics · 2023Article
- Multifactor dimensionality reduction method identifies novel SNP interactions in the WNT protein interaction networks that are associated with recurrence risk in colorectal cancer.Frontiers in oncology · 2023Article
- A competing risk analysis of colorectal cancer recurrence after curative surgery.BMC gastroenterology · 2022Article
- Genome-wide association study identifies tumor anatomical site-specific risk variants for colorectal cancer survival.Scientific reports · 2022Article
- Examining SNP-SNP interactions and risk of clinical outcomes in colorectal cancer using multifactor dimensionality reduction based methods.Frontiers in genetics · 2022Article
- A comprehensive analysis of SNPs and CNVs identifies novel markers associated with disease outcomes in colorectal cancer.Molecular oncology · 2021Article
- Actual survival after resection of primary colorectal cancer: results from a prospective multicenter study.World journal of surgical oncology · 2021Article
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8 authors.
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Abstract
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 ~ 19 years.
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, ~ 61% patients died from any cause, ~ 26% died from colorectal cancer, and ~ 10% and ~ 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 6 years 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 5.5 years 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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