Alcohol consumption is associated with the risk of developing colorectal neoplasia: Propensity score matching analysis

Mortality from upper gastrointestinal tumors in colorectal cancer screening patients

Background and study aims Currently, gastric cancer screening is only cost-effective in countries with high incidence. Integrated screening, in which gastroscopy is performed in conjunction with colonoscopy, could help reduce the gastric cancer screening procedure burden in countries with low or intermediate incidence. However, there is a lack of population-based studies to identify high-risk groups. Methods In this retrospective analysis of a colorectal cancer (CRC) screening program database, we used Cox proportional hazards model to identify an association of high- and low-risk finding (polyps ≥ 10 mm or with high-grade dysplasia) with time to death from upper gastrointestinal cancer (esophageal and gastric). We estimated the 10-year mortality of upper gastrointestinal tumors in different 10-year age groups, stratified by sex and polyp finding at colonoscopy. Results We included 349,856 CRC screening colonoscopies in our study. The median follow-up time was 5.22 years (95% confidence interval [CI] 5.21-5.24 years). Of the participants, 4.5% had polyps ≥ 10 mm or with high-grade dysplasia (HGD). At the end of the study period, 384 deaths from upper gastrointestinal cancer had occurred. Aside from age and sex, we found the presence of high-risk polyps to be significantly associated with upper gastrointestinal cancer death (hazard ratio 1.54, 95% CI 1.06-2.25, P = 0.025). Conclusions CRC screening participants with polyps < 10 mm and no HGD have a lower risk for mortality from upper gastrointestinal cancers compared with participants with polyps > 10 mm and HGD. Future studies will demonstrate whether integrated screening with additional gastroscopy is effective in CRC screening participants with large or highly dysplastic polyps.

Detection of high-risk polyps at screening colonoscopy indicates risk for liver and biliary cancer death

BACKGROUND

Hepatobiliary cancers share risk factors with colorectal cancer (CRC), but there are no combined screening programs for these conditions.

AIMS

The aim of this study was to assess whether patients with high-risk colonic polyps are more likely to die from liver related tumors than patients with a negative colonoscopy.

METHODS

In this retrospective analysis of mortality data, Austrian screening participants were included. The absolute risk for hepatobiliary cancer death was calculated using the cumulative incidence method. We aimed to identify an association with time to death of hepatobiliary cancer by Cox proportional hazards model.

RESULTS

343,838 colonoscopies performed between 01/2007 and 12/2020 were included in the analysis, of which 17,678 (5.14%) revealed high-risk polyps. Overall hepatobiliary cancer mortality was more than twice as high in patients with high risk polyps (cumulative incidence 0.39%, 95% CI 0.37-0.41%) compared to patients with a negative colonoscopy (cumulative incidence 0.17%, 95% CI 0.17-0.17%). When adjusting for age and sex, having high-risk polyps at screening colonoscopy was significantly associated with hepatobiliary cancer death (HR 1.83, 95% CI 1.29- 2.59, p < 0.001).

CONCLUSIONS

Patients with certain colonic polyp characteristics are at increased risk for mortality of liver malignancies. Further studies are needed to determine whether a structured additional screening for liver diseases and consecutive malignancies might be beneficial in these patients.

No-Code Platform-Based Deep-Learning Models for Prediction of Colorectal Polyp Histology from White-Light Endoscopy Images: Development and Performance Verification

Background: The authors previously developed deep-learning models for the prediction of colorectal polyp histology (advanced colorectal cancer, early cancer/high-grade dysplasia, tubular adenoma with or without low-grade dysplasia, or non-neoplasm) from endoscopic images. While the model achieved 67.3% internal-test accuracy and 79.2% external-test accuracy, model development was labour-intensive and required specialised programming expertise. Moreover, the 240-image external-test dataset included only three advanced and eight early cancers, so it was difficult to generalise model performance. These limitations may be mitigated by deep-learning models developed using no-code platforms. Objective: To establish no-code platform-based deep-learning models for the prediction of colorectal polyp histology from white-light endoscopy images and compare their diagnostic performance with traditional models. Methods: The same 3828 endoscopic images used to establish previous models were used to establish new models based on no-code platforms Neuro-T, VLAD, and Create ML-Image Classifier. A prospective multicentre validation study was then conducted using 3818 novel images. The primary outcome was the accuracy of four-category prediction. Results: The model established using Neuro-T achieved the highest internal-test accuracy (75.3%, 95% confidence interval: 71.0–79.6%) and external-test accuracy (80.2%, 76.9–83.5%) but required the longest training time. In contrast, the model established using Create ML-Image Classifier required only 3 min for training and still achieved 72.7% (70.8–74.6%) external-test accuracy. Attention map analysis revealed that the imaging features used by the no-code deep-learning models were similar to those used by endoscopists during visual inspection. Conclusion: No-code deep-learning tools allow for the rapid development of models with high accuracy for predicting colorectal polyp histology.

Risk Factors for Colorectal Polyps and Cancer

Colorectal cancer (CRC) is a common malignancy in the U.S. and worldwide. Most CRC cases arise from precancerous adenomatous and serrated polyps. Established risk factors for conventional adenomas and CRC include age, male sex, family history, obesity and physical inactivity, and red meat intake. White race and tobacco and alcohol use are important risk factors for serrated polyps, which have a distinct risk factor profile compared to conventional adenomas. A history of abdominopelvic radiation, acromegaly, hereditary hemochromatosis, or prior ureterosigmoidostomy also increases CRC risk. Understanding these risk factors allows for targeted screening of high-risk groups to reduce CRC incidence.

Metabolic Dysfunction-Associated Fatty Liver Disease Increases Colon Cancer Risk: A Nationwide Cohort Study

INTRODUCTION

The association between nonalcoholic fatty liver disease (NAFLD) and colorectal cancer (CRC) has been controversial. Using the new consensus-driven definition, we evaluated the association of metabolic dysfunction-associated fatty liver disease (MAFLD) with the risk of developing CRC.

METHODS

From a nationwide health screening database, we included 8,933,017 participants (48.6% male) aged 40-64 years between 2009 and 2010. Participants were categorized by the presence of fatty liver disease (FLD)-NAFLD and MAFLD, separately-and by the combination of the 2 definitions: neither FLD, NAFLD only, MAFLD only, or both FLD. The primary outcome was the development of CRC.

RESULTS

Among the participants, 2,517,330 (28.2%) had NAFLD, and 3,337,122 (37.4%) had MAFLD, whereas 2,465,151 (27.6%) met both NAFLD and MAFLD definitions. Over a median follow-up period of 10.1 years, 60,888 new CRC cases developed. NAFLD and MAFLD were each associated with a significantly higher risk of developing CRC. When the neither FLD group was the reference, multivariable-adjusted hazard ratios (95% confidence interval) for CRC were 1.16 (1.06-1.28) in the NAFLD only group, 1.18 (1.16-1.20) in the both FLD group, and 1.32 (1.28-1.35) in the MAFLD only group. The presence of advanced liver fibrosis further increased CRC risk in each FLD group.

DISCUSSION

FLD was associated with a higher risk of CRC development. CRC risk was higher in the presence of MAFLD, especially when accompanied by liver fibrosis.

Fusobacterium nucleatum in biopsied tissues from colorectal cancer patients and alcohol consumption in Korea

The roles of individual bacteria and their relationship in the development of colorectal cancer (CRC) remain unclear. We aimed to determine the prevalence of CRC-associated bacteria using quantitative real-time PCR (qPCR) or 16S rRNA analysis and the statistical correlations of patient demographics and clinical characteristics comprising alcohol consumption with CRC-associated bacteria. We determined the prevalence of five CRC-associated bacterial species in 38 CRC patients (39 samples) and 21 normal individuals using qPCR, and the relative abundance of bacterial taxa in the gut microbiome was assessed using 16S rRNA analysis. Fusobacterium nucleatum was the only bacterium that was significantly (P < 0.0001) more prevalent in the cancer tissue (82.1%) than in the normal tissue (0%) by qPCR. 16S rRNA analysis showed a significant correlation between six operational taxonomic units (OTUs), namely, the genera Fusobacterium, Peptostreptococcus, Collinsella, Prevotella, Parvimonas, and Gemella, in patients with CRC. An integrated analysis using 16S rRNA data and epidemiological characteristics showed that alcohol consumption was significantly correlated with the abundance of Fusobacterium OTUs. The correlation of alcohol consumption with the abundance of Fusobacterium OTUs in cancer tissue discovered using 16S rRNA analysis suggests a possible link between alcohol metabolism and subsequent tumorigenesis caused by F. nucleatum.