A user-friendly objective prediction model in predicting colorectal cancer based on 234 044 Asian adults in a prospective cohort

Chen, C.H.; Tsai, Min Kuang; Wen, Christopher; Wen, Chi Pang

doi:10.1016/j.esmoop.2021.100288

Cited by 6 publications

(4 citation statements)

References 46 publications

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“…Given this, the National Comprehensive Cancer Network recommends genetic risk counseling and evaluation for EOCRC patients [12] . Individuals with family history of CRC are regarded as high-risk and it is recommended that they undergo colonoscopy screening more frequently or at an earlier age than the general population [29] . Metabolic syndrome was identified as a risk factor for EOCRC in our meta-analysis, 16 but only a few studies were included in this analysis.…”

Section: Discussionmentioning

confidence: 99%

Field Synopsis of Environmental and Genetic Risk Factors of Sporadic Early-Onset Colorectal Cancer and Advanced Adenoma

Zhang

Boakye

Yang

et al. 2023

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Background:To systematically appraise and synthesize available epidemiological evidence on the associations of environmental and genetic factors with the risk of sporadic early-onset colorectal cancer (EOCRC) and early-onset advanced colorectal adenoma (EOCRA). Methods:Multiple databases were comprehensively searched to identify eligible observational studies. Genotype data from UK Biobank were incorporated to examine their associations with EOCRC in a nested case-control design. Meta-analyses of environmental risk factors were performed and the strength of evidence was graded based on predefined criteria. Meta-analyses of genetic associations were conducted using the allelic, recessive, and dominant model, respectively. Results:A total of 61 studies were included, reporting 120 environmental factors and 62 genetic variants. We found 12 risk factors (current overweight, overweight in adolescence, high waist circumference, smoking, alcohol, sugary beverages intake, sedentary behavior, red meat intake, family history of CRC, hypertension, hyperlipidemia and metabolic syndrome) and three protective factors (vitamin D, folate, and calcium intake) for EOCRC or EOCRA. No significant associations between the examined genetic variants and EOCRC risk were observed. Conclusions: Recent data indicate that the changing patterns of traditional CRC risk factors may explain the rising incidence of EOCRC. However, research on novel risk factors for EOCRC is limited; therefore, we cannot rule out the possibility of EOCRC having different risk factors than LOCRC. Impact: The potential for the identified risk factors to enhance the identification of at-risk groups for personalized EOCRC screening and prevention and for the prediction of EOCRC risk should be comprehensively addressed by future studies.

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Section: Discussionmentioning

confidence: 99%

Field Synopsis of Environmental and Genetic Risk Factors of Sporadic Early-Onset Colorectal Cancer and Advanced Adenoma

Zhang

Boakye

Yang

et al. 2023

Cancer Epidemiology, Biomarkers &Amp; Prevention

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“…In previous studies, a total of 19 CRC prediction models were developed [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. The median number of predictors included in the models was ten (ranging from three to 16).…”

Section: Model Predictorsmentioning

confidence: 99%

“…We have identified 19 prediction models that have been developed for CRC in patients with symptoms [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. However, these models used predictors such as basic demographic characteristics (age, sex, BMI), lifestyle factors (smoking, alcohol consumption), biomarkers (haemoglobin, CEA), and clinical features (bowel symptoms).…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of Risk Prediction Models for Colorectal Cancer in Patients with Symptoms

Xu,

Mesa-Eguiagaray,

Kirkpatrick

et al. 2023

JPM

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We aimed to develop and validate prediction models incorporating demographics, clinical features, and a weighted genetic risk score (wGRS) for individual prediction of colorectal cancer (CRC) risk in patients with gastroenterological symptoms. Prediction models were developed with internal validation [CRC Cases: n = 1686/Controls: n = 963]. Candidate predictors included age, sex, BMI, wGRS, family history, and symptoms (changes in bowel habits, rectal bleeding, weight loss, anaemia, abdominal pain). The baseline model included all the non-genetic predictors. Models A (baseline model + wGRS) and B (baseline model) were developed based on LASSO regression to select predictors. Models C (baseline model + wGRS) and D (baseline model) were built using all variables. Models’ calibration and discrimination were evaluated through the Hosmer-Lemeshow test (calibration curves were plotted) and C-statistics (corrected based on 1000 bootstrapping). The models’ prediction performance was: model A (corrected C-statistic = 0.765); model B (corrected C-statistic = 0.753); model C (corrected C-statistic = 0.764); and model D (corrected C-statistic = 0.752). Models A and C, that integrated wGRS with demographic and clinical predictors, had a statistically significant improved prediction performance. Our findings suggest that future application of genetic predictors holds significant promise, which could enhance CRC risk prediction. Therefore, further investigation through model external validation and clinical impact is merited.

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“…Eine Metaanalyse zeigt, dass jede Art von Gewichtsverlust von onkologisch Erkrankten ein Risikofaktor für deren Gesamtüberleben ist. Übergewicht und Adipositas im Vergleich zu Normalgewicht dagegen wirken sich unterschiedlich auf gastrointestinale Tumoren aus 2 . Hier setzen Apps an, sie befähigen Patient*innen, sich an die Stresssituation anzupassen und widerstandsfähig zu bleiben.…”

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Empowerment durch Teilhabe: Compliance – Coping – Resilience

Oesterle

2024

Onkologische Welt

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A user-friendly objective prediction model in predicting colorectal cancer based on 234 044 Asian adults in a prospective cohort

Cited by 6 publications

References 46 publications

Field Synopsis of Environmental and Genetic Risk Factors of Sporadic Early-Onset Colorectal Cancer and Advanced Adenoma

Field Synopsis of Environmental and Genetic Risk Factors of Sporadic Early-Onset Colorectal Cancer and Advanced Adenoma

Development and Validation of Risk Prediction Models for Colorectal Cancer in Patients with Symptoms

Empowerment durch Teilhabe: Compliance – Coping – Resilience

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