Estimation of Absolute Risk of Colorectal Cancer Based on Healthy Lifestyle, Genetic Risk, and Colonoscopy Status in a Population-Based Study

Carr, Prudence R.; Weigl, Korbinian; Edelmann, Dominic; Jansen, Lina; Chang‐Claude, Jenny; Brenner, Hermann; Hoffmeister, Michael

doi:10.1053/j.gastro.2020.03.016

Cited by 83 publications

(80 citation statements)

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“…Our analysis is based on prospective follow-up of CRC patients recruited in the context of the German DACHS (Darmkrebs: Chancen der Verhütung durch Screening) Study, an ongoing population-based case-control study on CRC. Details of the DACHS study design have been described elsewhere [10][11][12][13]. In brief, patients with a first diagnosis of CRC (ICD 10 codes C18-C20) aged at least 30 years (without an upper age limit) are recruited in all of the 22 clinics providing first-line treatment for CRC in the Rhine-Neckar region in Southern Germany.…”

Section: Study Design and Populationmentioning

confidence: 99%

Whole blood DNA methylation aging markers predict colorectal cancer survival: a prospective cohort study

et al. 2020

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Background Blood DNA methylation-based aging algorithms predict mortality in the general population. We investigated the prognostic value of five established DNA methylation aging algorithms for patients with colorectal cancer (CRC). Methods AgeAccelHorvath, AgeAccelHannum, DNAmMRscore, AgeAccelPheno and AgeAccelGrim were constructed using whole blood epi-genomic data from 2206 CRC patients. After a median follow-up of 6.2 years, 1079 deaths were documented, including 596 from CRC. Associations of the aging algorithms with survival outcomes were evaluated using the Cox regression and survival curves. Harrell’s C-statistics were computed to investigate predictive performance. Results Adjusted hazard ratios (95% confidence intervals) of all-cause mortality for patients in the third compared to the first tertile were 1.66 (1.32, 2.09) for the DNAmMRscore, 1.35 (1.14, 1.59) for AgeAccelPheno and 1.65 (1.37, 2.00) for AgeAccelGrim, even after adjustment for age, sex and stage. AgeAccelHorvath and AgeAccelHannum were not associated with all-cause or CRC-specific mortality. In stage-specific analyses, associations were much stronger for patients with early or intermediate stage cancers (stages I, II and III) than for patients with metastatic (stage IV) cancers. Associations were weaker and less often statistically significant for CRC-specific mortality. Adding DNAmMRscore, AgeAccelPheno or AgeAccelGrim to models including age, sex and tumor stage improved predictive performance moderately. Conclusions DNAmMRscore, AgeAccelPheno and AgeAccelGrim could serve as non-invasive CRC prognostic biomarkers independent of other commonly used markers. Further research should aim for tailoring and refining such algorithms for CRC patients and to explore their value for enhanced prediction of treatment success and treatment decisions.

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Section: Study Design and Populationmentioning

confidence: 99%

Whole blood DNA methylation aging markers predict colorectal cancer survival: a prospective cohort study

et al. 2020

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“…Using a risk prediction model based on readily identifiable risk factors to identify individuals at the high absolute risk of developing cancer might be a more practical and efficient strategy for cancer prevention. For example, risk assessment tools for breast and colorectal cancers have been applied to inform preventive strategies for these cancers: persons with high-risk scores are encouraged to undergo screening tests ( 12 , 13 ). Yet, such predictive models for ESCC have been mainly developed for the western populations ( 14 ), and have been rarely studied in Asian countries, including China.…”

Section: Introductionmentioning

confidence: 99%

Estimating Individualized Absolute Risk for Esophageal Squamous Cell Carcinoma: A Population-Based Study in High-Risk Areas of China

et al. 2021

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BackgroundEsophageal squamous cell carcinoma (ESCC) has a high incidence rate and poor prognosis. In this study, we aimed to develop a predictive model to estimate the individualized 5-year absolute risk for ESCC in Chinese populations living in the high-risk areas of China.MethodsWe developed a risk-predicting model based on the epidemiologic data from a population-based case-control study including 244 newly diagnosed ESCC patients and 1,220 healthy controls. Initially, we included easy-to-obtain risk factors to construct the model using the multivariable logistic regression analysis. The area under the ROC curves (AUC) with cross-validation methods was used to evaluate the performance of the model. Combined with local age- and sex-specific ESCC incidence and mortality rates, the model was then used to estimate the absolute risk of developing ESCC within 5 years.ResultsA relative risk model was established that included eight factors: age, sex, tobacco smoking, alcohol drinking, education, and dietary habits (intake of hot food, intake of pickled/salted food, and intake of fresh fruit). The relative risk model had good discrimination [AUC, 0.785; 95% confidence interval (CI), 0.749–0.821]. The estimated 5-year absolute risk of ESCC for individuals varied widely, from 0.0003% to 19.72% in the studied population, depending on the exposure to risk factors.ConclusionsOur model based on readily identifiable risk factors showed good discriminative accuracy and strong robustness. And it could be applied to identify individuals with a higher risk of developing ESCC in the Chinese population, who might benefit from further targeted screening to prevent esophageal cancer.

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“…[1] In addition, a relationship between waist-to-hip ratio and colon cancer has been found in the literature and it has been reported to be inversely related to colon cancer in physical activity. [6][7][8][9][10][11][12][13] There have been several studies investigating the effect of the degree of risk and significance of prognostic and demographic factors affecting the survival of patients diagnosed with colorectal cancer and colon cancer. [14][15][16] However, there are limited number of studies conducted on the Turkish population.…”

Section: Introductionmentioning

confidence: 99%

Kolon Kanserli Hastalarda Yaşam Analizi

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2021

Journal of Contemporary Medicine

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The aim of this study is to investigate the degree of risk and significance of prognostic and demographic factors affecting the survival of patients diagnosed with colon cancer. Material and Method:This was a retrospective study conducted by reviweing the medical records of 80 patients diagnosed with metastatic colon cancer at the Oncology Clinic at the Mustafa Kemal University between 01/2018 -01/2021. Cox regression analysis was performed to determine the prognostic and demographic factors affecting the colon cancer and Kaplan-Meier method was used to estimate the overall survival. Difference between the variable levels in terms of survival probabilities was investigated using the log-rank test. Results:The average age of the patients was 56.72 ± 12.42. The median survival time of patients with colon cancer was 48.42 months (95% confidence interval (CI)=41.97-54.87). Cox regression analysis showed that age, incident type 2 diabetes mellitus (DM), and family history of colon cancer were significantly associated with overall survival (p <0.005). Patients with colon cancer aged 50 years; patients with DM and patients with a family history of colon cancer were approximately 3 times more at risk compared to patients over 50 years; patients without DM and patients without colon cancer in the family, consecutively. Conclusion:The effect of prognostic and demographic factors affecting the survival of patients with colon cancer was evaluated. Our findings showed that age, DM and family history of colon cancer can be used to estimate the survial of patients with colon cancer. We believe that our results will help guide practitioners for the treatment of patients diagnosed with colon cancer.

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Estimation of Absolute Risk of Colorectal Cancer Based on Healthy Lifestyle, Genetic Risk, and Colonoscopy Status in a Population-Based Study

Cited by 83 publications

References 55 publications

Whole blood DNA methylation aging markers predict colorectal cancer survival: a prospective cohort study

Whole blood DNA methylation aging markers predict colorectal cancer survival: a prospective cohort study

Estimating Individualized Absolute Risk for Esophageal Squamous Cell Carcinoma: A Population-Based Study in High-Risk Areas of China

Kolon Kanserli Hastalarda Yaşam Analizi

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