The adenoma detection rate is a key colonoscopy quality indicator, but the adenoma miss rate (AMR) is more strongly linked to post-colonoscopy colorectal cancer risk. While studies examined high-definition colonoscopy and AMR, no studies have assessed its impact on consecutive polypectomy.

This study aimed to identify adenomas missed in screening or surveillance colonoscopy and determine if the endoscopic system affects the miss rate.

This retrospective study analyzed patients referred to Dong-A University Hospital for polypectomy after polyps were detected during screening or surveillance colonoscopy at 24 healthcare institutions. Endoscopic systems used in these colonoscopies were classified as FHD (FHD) or non-FHD. Consecutive polypectomies were performed by a single expert between March 2020 and February 2022 using the FHD system. The AMR was compared and analyzed for screening or surveillance colonoscopies performed using FHD endoscopic systems and those using non-FHD endoscopic systems.

Of 542 polyps, 186 were missed (miss rate: 25.22%). Miss rates for adenoma and advanced neoplasia were 27.34% and 14.69%. Univariate analysis identified age, adenoma count, and endoscopic system as significant factors. However, only the endoscopic system remained significant in the multivariate analysis. In screening or surveillance colonoscopy, the use of FHD endoscopic systems demonstrated a lower AMR compared to non-FHD systems (21.86% vs. 31.41%, P = 0.014).

The use of FHD endoscopic systems reduced AMR compared to non-FHD systems.

Around 1.9 million new cases and 1 million deaths worldwide were attributed to colorectal cancer (CRC) in 2020.

The aims of this study are to assess the cost-effectiveness of a multi-target stool DNA-based screening strategy, COLOTECT, compared to faecal immunochemical tests (FIT), colonoscopy, and no screening in the Asian population to inform more choices for policymakers in colorectal cancer screening.

We assume that 100,000 persons aged 50 undergo annual FIT, annual COLOTECT multi-target testing, or colonoscopies every 10 years until age 75. The data used in this study was retrieved from different sources including the Hong Kong Cancer Registry and previously published studies on the population aged 50 to 75 years old between 2010 and 2023. This study accessed the most cost-effective screening strategy available. If a positive result of FIT or COLOTECT were observed, the participants would undergo a colonoscopy. The participants who used the colonoscopy as the main screening method conducted colonoscopies every 3 years. The Markov models were utilized to compare the outcomes from different strategies including life-years saved, years of life lost, and incremental cost-effectiveness ratio (primary outcome). The highest ICER was observed in colonoscopy (USD 160808), followed by FIT (USD 108952), and COLOTECT (USD 82206). A higher detection rate of CRC (COLOTECT: 39.3% vs. FIT: 4.5%), more CRC cases prevented (1272 vs. 146), and life-years saved (2295 vs. 337) were observed in the COLOTECT strategy than in FIT. Additionally, a lower total cost per life-year saved of COLOTECT (USD 180097) was observed than colonoscopy (USD 238356), which identified the more affordable and cost-saving COLOTECT strategy.

This study highlighted the better performance of COLOTECT than FIT in detecting CRC. Additionally, given its lower cost and higher acceptance, the COLOTECT strategy might be more cost-effective than colonoscopy for massive CRC screening.

Acromegaly is associated with a possible increased risk of neoplasias, like colorectal cancer (CRC), although magnitude of this risk is unclear.

Evaluate frequency of colonic adenomatous polyps and CRC in patients with acromegaly at first and subsequent colonoscopies; correlate risk factors of CRC and disease activity of acromegaly with colonoscopy findings and analyze relationship of acromegaly as a risk factor for CRC and the best period for screening this neoplasia.

Patients ≥18 years-old with acromegaly were included. A questionnaire involving characteristics of follow-up of acromegaly and risk factors of CRC was created. Biochemical and colonoscopic data were collected through medical records. Only full-length colonoscopies with satisfactory colonic preparation were included.

123 patients (77 women) were included (mean age at diagnosis of 43.1 years and mean follow-up of 13.7 years). In baseline colonoscopy, 80.5% had non-neoplastic findings, 14.6% non-advanced adenomas, 3.3% advanced adenomas and 1.6% CRC. At end of the study, 3 (2.4%) patients were diagnosed with CRC. No patient under 50 years had a neoplastic lesion on colonoscopy. We observed a positive statistically significant relationship between smoking (p = 0.026), age at diagnosis of acromegaly (p < 0.001), age at baseline colonoscopy (p = 0.002), and risk of adenomas and/or CRC at initial colonoscopy.

Smoking and advanced age were positively related to a higher risk of developing premalignant/malignant colonic lesions. Age ( > 50 years) was the most robust variable. Our data suggest that screening age for CRC in acromegaly should be reviewed.

Post-endoscopic mucosal resection (EMR) bleeding, or clinically significant post-EMR bleeding, is influenced by factors such as polyp size, right-sided colonic lesions, laterally spreading tumors, anticoagulant use, and comorbidities like cardiovascular or chronic renal disease. The optimal prophylactic therapy for post-EMR bleeding remains unknown, with no consensus on specific criteria for its application. Moreover, prophylactic measures, including clipping, suturing, and coagulation, have produced mixed results. Selective clipping in high-risk patients is cost-effective, whereas universal clipping is not. Studies and meta-analyses indicate that routine prophylactic clipping does not generally reduce post-polypectomy bleeding but may be beneficial in cases of large proximal lesions. Some studies have revealed that the post-polypectomy bleeding risk after EMR of transverse colonic lesions is lower than that of the ascending colon and caecum, suggesting limited efficacy of clipping in the transverse colon. Cost-effectiveness studies support selective clipping in high-risk groups, and newer static agents such as PuraStat are alternatives; however, their cost-effectiveness is undetermined. Further research is required to establish clear guidelines and refine prophylactic strategies to prevent post-EMR bleeding.

One of the most prevalent and fatal tumors, colorectal cancer (CRC), has a significant impact on the use of healthcare services. Although Hong Kong's CRC screening program has been successful, it does not prioritize preventing early-onset CRC in people under age 50 years. This study aimed to assess the cost-effectiveness of different starting ages for CRC screening among an Asian population.

We conducted a simulation study involving 100,000 individuals in Hong Kong who were screened using either the fecal immunochemical test (FIT) or colonoscopy as primary screening methods at ages 40, 45, and 50 until age 75. The performance of different strategies was evaluated based on life-years gained, and cost-effectiveness was measured using the incremental cost-effectiveness ratio (ICER).

The ICERs for initiating FIT screening at age 50, screening starting at age 45, and screening starting at age 40 were U.S. dollars (USD) 53,262, USD 67,892, and USD 86,554, respectively. For colonoscopy, the ICERs for initiating screening at ages 50, 45, and 40 were USD 267,669, USD 312,848, and USD 372,090, respectively. Overall, the FIT strategy was found to be less costly. At 70%, 80%, and 90% compliance rates, the FIT at age 45 gained 2135, 2296, and 2438 life-years, respectively, whereas colonoscopy at age 45 gained 2725, 2798, and 2855 life-years, respectively. With increased compliance rates, the FIT could save a similar number of life-years as colonoscopy with lower cost.

Initiating CRC screening at age 45 using the FIT in Hong Kong was determined to be a well-balanced and cost-effective strategy. This approach demonstrated a cost advantage over starting screening at age 40 and resulted in more lives saved compared with screening at age 50.

Pyrrolidines, nitrogenous organic compounds, are among the most intensively studied agents because of their antibacterial, antiviral, neurological, and promising antitumor effects. Moreover, many medicinal drugs contain pyrrolidine moiety such as sunitinib (anticancer drug), telaprevir and ombitasvir (antiviral drugs) or ramipril (antihypertensive drug).

Based on the pro-apoptotic effect of pyrrolidine SS13, this study focuses on the pro-oxidative properties of the tested pyrrolidine SS13 on colorectal cancer cells to deepen the understanding of its mechanisms of action.

We hypothesize that SS13 induces oxidative stress and autophagy activation in HCT116 and Caco-2 cell lines, thus contributing to antiproliferative effects.

Flow cytometry, western blot, fluorescence microscopy and qRT-PCR were used to evaluate the effect of pyrrolidine SS13.

Pyrrolidine SS13 induced oxidative stress through the accumulation of reactive oxygen and nitrogen species in both cell lines and the modulation of both superoxide dismutase isoenzymes (SOD1, SOD2). Oxidative stress was also associated with the activation of DNA damage response system and modulation of stress/survival pathways. We demonstrated for the first time that pyrrolidine SS13 is involved in the induction of autophagy accompanied by increased levels of autophagic markers (p-AMPK, p-ULK, LC3I/II and ATG7) and a significant decrease in p62 protein levels in both cell lines. Finally, chloroquine, an inhibitor of autophagy, enhanced cell survival and suppressed the cytotoxic effect of SS13 in HCT116 and Caco-2 cells, indicating that SS13 contributes to autophagy-mediated cell death. Taken together, our results suggest that oxidative stress and autophagy participate in the antiproliferative effect of pyrrolidine SS13 on colorectal cancer cells. Further research using primary cell cultures obtained from different animal tissues as well as performing in vivo experiments is needed to understand these processes in detail and to investigate the potential therapeutic application of new pyrrolidine derivatives.

Guidelines now recommend initiating colorectal cancer (CRC) screening at age 45 years rather than 50 years, but little is known about screening completion and yield among people aged 45 to 49 years.

To evaluate fecal immunochemical test (FIT) completion and yield in patients aged 45 to 49 versus 50 years.

Retrospective cohort study.

Kaiser Permanente Northern California, Washington, and Colorado.

Those distributed a FIT kit during January to September 2022.

FIT completion within 3 months, FIT positivity, receipt of colonoscopy within 3 months after a positive FIT result, and colonoscopy yield.

A total of 267 732 FIT kits were distributed: 213 928 (79.9%) to patients aged 45 to 49 years, and 53 804 (20.1%) to those aged 50 years. Overall, FIT completion was slightly higher in patients aged 45 to 49 years (38.9% vs. 37.5%; adjusted risk ratio [aRR], 1.05 [95% CI, 1.04 to 1.06]), although at Colorado, those aged 45 to 49 years were substantially less likely to complete a FIT (30.7% vs. 40.2%; aRR, 0.77 [CI, 0.73 to 0.80]). Overall, FIT positivity was lower in patients aged 45 to 49 years (3.6% vs. 4.0%; aRR, 0.91 [CI, 0.84 to 0.98]), and receipt of colonoscopy after a positive FIT result was similar between groups (64.9% vs. 67.4%; aRR, 1.00 [CI, 0.94 to 1.05]). Adenoma detection was lower in the younger group (58.8% vs. 67.7%; aRR, 0.88 [CI, 0.83 to 0.95]). Yields were similar for adenoma with advanced histology (13.2% vs. 15.9%; aRR, 0.86 [CI, 0.69 to 1.07]), polyp with high-grade dysplasia (3.4% vs. 5.1%; aRR, 0.68 [CI, 0.44 to 1.04]), sessile serrated lesion (10.3% vs. 11.7%; aRR, 0.92 [CI, 0.71 to 1.21]), and CRC (2.8% vs. 2.7%; aRR, 1.10 [CI, 0.62 to 1.96]).

The small number of neoplasia events contributed to wide CIs.

Similar FIT completion and yield rates in people aged 45 to 50 years support initiation of CRC screening at age 45 years.

Kaiser Permanente Sidney R. Garfield Memorial Fund.

Gastrointestinal diseases impose a significant morbidity, mortality, and health care cost burden, affecting millions annually in the United States alone. Endoscopy plays a crucial role in managing these conditions. Despite technological advancements in endoscopy, ensuring efficient, high-quality care remains challenging. A critical need to standardize high-quality endoscopy is for education reform in the training of endoscopists. Traditional apprenticeship-based training methods are dependent on the trainer as well as the patient case mix. Simulation-based mastery learning (SBML) emerges as a promising strategy to improve endoscopy training. This review discusses the current state of SBML for optimizing upper endoscopy and colonoscopy efficiency.

Several studies have investigated the association between diverticular disease (DD) and colorectal cancer. However, whether there is an association between DD and malignancies other than those in the colorectum remains uncertain.

For the 1978-2019 period, we conducted a nationwide, population-based cohort study using national Danish health care data. We followed patients with DD for up to 20 years, beginning 1 year after the date of DD diagnosis until the first occurrence of incident cancer, emigration, death, 20 years of follow-up, or December 31, 2019. We calculated cumulative incidence proportions of cancer and standardized incidence ratios (SIRs) comparing cancer incidence among patients with DD with that in the general population.

We identified 200,639 patients with DD, of whom 20,498 were diagnosed with cancer during the 1-20 years after their DD diagnosis. The SIRs were increased for most cancer sites except for those in the colorectum (SIR, 0.75; 95% confidence interval, 0.72-0.78). The highest SIRs were observed for cancers of the lung, bronchi, and trachea (SIR, 1.20; 95% confidence interval, 1.15-1.24) and kidney (SIR, 1.27; 95% confidence interval, 1.16-1.39).

Our findings show an increased long-term relative risk of cancer following a diagnosis of DD. These findings are likely caused by prevalence of numerous risk factors in patients with DD that confer an increased risk of cancer. The decreased relative risk of colorectal cancer might be explained by an increased likelihood of patients with DD undergoing colonoscopy with polypectomy.

The purpose of the present study was to investigate the quality of patient/clinician communication as one potential factor that impacts colorectal cancer screening behavior. As part of a larger randomized controlled trial conducted between 2011 and 2016 in the setting of community and academic family medicine or internal medicine practices in Michigan, USA, patients completed a pre-encounter survey, completed their regularly scheduled visit with their primary care clinician (which was audio-recorded), completed a post-encounter survey, and allowed 6-month follow-up chart audit. We trained 10 coders to rate 216 of the audio-recorded conversations between 216 patients and their primary care physicians for 6 specific features of communication quality (using 7-point scales), including the extent to which participants enacted attention to medical content, engagement, emotional expression, relationships, face, and accommodation. At least 3 coders rated each conversation, and intraclass correlations (i.e., reliability assessment) were in the good to excellent range. We found that patient and clinician attention to face (an identity goal) was a significant predictor of colorectal cancer screening at 6 months follow up. Measuring communication in terms of attention to multiple goals reveals unexpected findings about the aspects of communication that impact colorectal cancer screening behavior. The focus of many interventions to improve colorectal cancer screening rates is on the content (i.e., task goals) of clinicians' communication (such as presenting the different options for screening), yet the content of communication was not a significant predictor of screening in the present study. Rather, clinicians' and patients' attention to identity goals predicted screening behavior, which suggests that interventions may not need to be overly complex and that simply improving the quality of attention to identity goals in clinician communication might be one of the most straightforward yet impactful ways to improve colorectal cancer screening uptake among patients.

Colorectal adenocarcinoma is rare in children and adolescents and tends to present with nonspecific signs and symptoms, leading to late diagnoses.

Our aim was to describe the clinical presentation and progression in children and adolescents with colorectal adenocarcinoma treated at our hospital and detect possible predisposing conditions of this disease.

Eight patients with colorectal adenocarcinoma were followed at the Hospital Posadas within the time frame of January 2000 and December 2021. We searched for diseases predisposing to this cancer.

The mean patient age was 16 years (between 11 and 17 years of age). Clinical presentation was abdominal pain in the 8 patients; 4 of them had pain in the right hypochondrium, 3 had abdominal tumor, 4 had rectal bleeding, and 3 had weight loss. Mean symptom duration was 9 weeks (range: 1-24 weeks). None of the patients showed predisposing illnesses. One patient presented with polyposis, with no cases in any other family member. Histology showed mucinous adenocarcinoma in all the patients, 4 of whom had the signet ring cell subtype. The primary tumor was located in the right colon in 6 patients. At diagnosis, staging according to the modified Dukes classification was: I: one patient; IIb: one patient; IIIb: one patient; IIIc: one patient; and IV: 4 patients. All patients except 2 received chemotherapy and one patient received radiotherapy. Overall survival at 3 years was 25%.

All patients presented with mucinous adenocarcinoma, no predisposing diseases were found, and the children with colorectal cancer had a very poor prognosis. Colorectal cancer diagnosis should be considered in children presenting with acute abdominal pain, abdominal tumor, or lower gastrointestinal bleeding, especially if there is weight loss.

Colorectal cancer (CRC) is a heterogeneous disease and classified into various subtypes, among which transcriptional alterations result in CRC progression, metastasis, and drug resistance. Forkhead-box M1 (FOXM1) is a proliferation-associated transcription factor which is overexpressed in CRC and the mechanisms of FOXM1 regulation have been under investigation. Previously, we showed that FOXM1 binds to promoters of certain microRNAs. Database mining led to several microRNAs that might interact with FOXM1 3'UTR. The interactions between shortlisted microRNAs and FOXM1 3'UTR were quantitated by a dual-luciferase reporter assay. MicroRNA-532-3p interacted with the 3'UTR of the FOXM1 mRNA transcript most efficiently. MicroRNA-532-3p was ectopically overexpressed in colorectal cancer (CRC) cell lines, leading to reduced transcript and protein levels of FOXM1 and cyclin B1, a direct transcriptional target of FOXM1. Further, a clonogenic assay was conducted in overexpressed miR-532-3p CRC cells that revealed a decline in the ability of cells to form colonies and a reduction in migratory and invading potential. These alterations were reinforced at molecular levels by the altered transcript and protein levels of the conventional EMT markers E-cadherin and vimentin. Overall, this study identifies the regulation of FOXM1 by microRNA-532-3p via its interaction with FOXM1 3'UTR, resulting in the suppression of proliferation, migration, and invasion, suggesting its role as a tumor suppressor in CRC.

Large nonpedunculated colorectal polyps ≥ 20 mm (LNPCPs) comprise 1% of all colorectal lesions. LNPCPs are more likely to contain advanced histology such as high-grade dysplasia and submucosal invasive cancer (SMIC). Endoscopic resection is the first-line approach for management of these lesions. Endoscopic resection options include endoscopic mucosal resection (EMR), cold-snare EMR (EMR), endoscopic submucosal dissection (ESD) and endoscopic full-thickness resection (EFTR). This review aimed to critically evaluate current endoscopic resection techniques.

Evidence-based selective resection algorithms should inform the most appropriate endoscopic resection technique. Most LNPCPs are removed by conventional EMR but there has been a trend toward C-EMR for endoscopic resection of LNPCPs. More high-quality trials are required to better define the limitations of C-EMR. Advances in our understanding of ESD technique, has clarified its role within the colorectum. More recently, the development of a full thickness resection device (FTRD) has allowed the curative endoscopic resection of select lesions.

Endoscopic resection should be regarded as the principle approach for all LNPCPs. Underpinned by high-quality research, endoscopic resection has become more nuanced, leading to improved patient outcomes.

Colorectal Polyps are the main source of precancerous lesions in colorectal cancer. To increase the early diagnosis of tumors and improve their screening, we aimed to develop a simple and non-invasive diagnostic prediction model for colorectal polyps based on machine learning (ML) and using accessible health examination records.

We conducted a single-center observational retrospective study in China. The derivation cohort, consisting of 5426 individuals who underwent colonoscopy screening from January 2021 to January 2024, was separated for training (cohort 1) and validation (cohort 2). The variables considered in this study included demographic data, vital signs, and laboratory results recorded by health examination records. With features selected by univariate analysis and Lasso regression analysis, nine machine learning methods were utilized to develop a colorectal polyp diagnostic model. Several evaluation indexes, including the area under the receiver-operating-characteristic curve (AUC), were used to compare the predictive performance. The SHapley additive explanation method (SHAP) was used to rank the feature importance and explain the final model.

14 independent predictors were identified as the most valuable features to establish the models. The adaptive boosting machine (AdaBoost) model exhibited the best performance among the 9 ML models in cohort 1, with accuracy, sensitivity, specificity, positive predictive value, negative predictive value, F1 score, and AUC (95% CI) of 0.632 (0.618-0.646), 0.635 (0.550-0.721), 0.674 (0.591-0.758), 0.593 (0.576-0.611), 0.673 (0.654-0.691), 0.608 (0.560-0.655) and 0.687 (0.626-0.749), respectively. The final model gave an AUC of 0.675 in cohort 2. Additionally, the precision recall (PR) curve for the AdaBoost model reached the highest AUPR of 0.648, positioning it nearest to the upper right corner. SHAP analysis provided visualized explanations, reaffirming the critical factors associated with the risk of colorectal polyps in the asymptomatic population.

This study integrated the clinical and laboratory indicators with machine learning techniques to establish the predictive model for colorectal polyps, providing non-invasive, cost-effective screening strategies for asymptomatic individuals and guiding decisions for further examination and treatment.

Colorectal cancer (CRC) is a significant global health issue where early detection is crucial for improving treatment outcomes and survival rates. This comprehensive review assesses the utility of stool-based tests in CRC screening, including traditional fecal occult blood tests (FOBT), both chemical (gFOBT) and immunochemical techniques (FIT), as well as multitarget stool DNA (mt-sDNA) as a novel and promising biomarker. The advancements, limitations and the impact of false positives and negatives of these methods are examined. The review analyzed various studies on current screening methods, focusing on laboratory tests and biomarkers. Findings indicate that while FIT and mt-sDNA tests offer enhanced sensitivity and specificity over traditional guaiac-based FOBT, they also come with higher costs and potential for increased false positives. FIT shows better patient adherence due to its ease to use, but incorrect usage and interpretation of FOBT can lead to significant diagnostic errors. In conclusion, despite the improvements in FOBT methods like FIT in CRC detection, careful consideration of each method's benefits and drawbacks is essential. Effective CRC screening programs should combine various methods tailored to specific population needs, aiming for early detection and reduced mortality rates.

Colorectal cancer (CRC) has the highest mortality rate among men and is the second highest among women under fifty, with incidence and mortality rates rising in younger populations. Studies indicate that up to one-third of patients diagnosed before fifty have a family history or genetic factors, highlighting the need for earlier screening. Contrariwise, diagnosis in healthy subjects through screening strategies enables early-stage detection of the tumor and better clinical outcomes. In recent years, mortality rates of CRC in Western countries have been on a steady decline, which is largely attributed to widespread screening programs and advancements in treatment modalities. Indeed, early detection through screening significantly improves prognosis, with stark differences in survival rates between localized and metastatic disease. This article aims to provide a comprehensive review of the existing literature, delving into the performance and efficacy of various CRC screening strategies. It navigates through available screening tools, evaluating their efficacy and cost-effectiveness. The discussion extends to delineating target populations for screening, emphasizing the importance of tailored approaches for individuals at heightened risk.

Convolutional neural network-based methods have significantly enhanced the segmentation performance of biomedical images in recent years. Nevertheless, medical image segmentation presents a challenge marked by layout specificity, with limited variation between samples in medical datasets but significant variation within each individual sample. This aspect has been often overlooked by many models. Consequently, we propose a novel architecture called Attention based multi-scale nested network (AMNNet), specifically designed for efficient biomedical image segmentation. AMNNet comprises four components: early ReSidual U-CBAM (RSUC) modules and convolutional stages, a MLP stage in latent stage, and Convolutional Block Attention Modules (CBAM) integrated into the decoder stage. We introduce a lightweight CBAM to concentrate on regions proximate to the target and suppress extraneous features without substantial parameter increments. The RSUC module is proposed to combine receptive fields of different sizes, capturing comprehensive contextual information across various scales in medical samples. Extensive experiments conducted on the AMNNet reveal its outperformance compared to prevailing medical image segmentation methods across the ISIC2018, CVC-ClinicDB, CVC-ColonDB, BUSI, and GlaS datasets. Notably, AMNNet achieves Dice Similarity Coefficients (DSC) of 91.35%, 90.01%, 90.80%, 81.61%, and 94.31%, respectively.

The majority of colorectal cancer (CRC) cases develop from precursor advanced adenoma (AA). With the development of proteomics technologies, blood protein biomarkers have potential applications in the early screening of AA and CRC in the general population.

To identify serum protein biomarkers for the early screening of AA and CRC.

We collected 43 serum samples from 8 normal controls (NCs), 19 AA patients and 16 CRC patients at China-Japan Friendship Hospital. Quantitative proteomic analysis was performed using liquid chromatography-mass spectrometry/mass spectrometry and data independent acquisition, and differentially expressed proteins (DEPs) with P-values < 0.05 and absolute fold changes > 1.5 were screened out, followed by bioinformatics analysis. Prognosis was further analyzed based on public databases, and proteins expression in tissues were validated by immunohistochemistry.

A total of 2132 proteins and 17365 peptides were identified in the serum samples. There were 459 upregulated proteins and 118 downregulated proteins in the NC vs AA group, 289 and 180 in the NC vs CRC group, and 52 and 248 in the AA vs CRC group, respectively. Bioinformatic analysis revealed that these DEPs had different functions and participated in extensive signaling pathways. We also identified DIAPH1, VASP, RAB11B, LBP, SAR1A, TUBGCP5, and DOK3 as important proteins for the progression of AA and CRC. Furthermore, VASP (P < 0.01), LBP (P = 0.01), TUBGCP5 (P < 0.01), and DOK3 (P < 0.01) were associated with a poor prognosis. In addition, we propose that LBP and VASP may be more promising protein biomarkers for the early screening of colorectal tumors.

Our study elucidated the serum proteomic profiles of AA and CRC patients, and the identified proteins, such as LBP and VASP, may contribute to the early detection of AA and CRC.

Colorectal cancer (CRC) outcomes in terms of incidence and mortality are significantly worse in African Americans than other Americans. While differences in primary preventions for neoplasia (diet, obesity remediation, aspirin prophylaxis) are being elucidated, genetic mutations affecting premalignant lesions and immune response mechanisms may possibly also explain the increased incidence and mortality, particularly from right-sided disease.

Our team therefore examined colonic segments seeking to test the hypothesis that the immune response and somatic genetic profiles of the colonic anatomic segments may vary and thus account for variations in neoplasia risk among the various colonic segments revealing an antigenic relationship with precancerous lesions. The p87 antigenic field effect is recognized via Adnab-9 antibody immunohistochemistry to be significantly less in the right colon in African Americans, particularly in the cecum.

Since small high-grade dysplastic adenomas (SHiGDA) likely missed by CRC screening may progress to cancer, we used Ion Torrent™ sequencing of DNA extracted from four normal colonic segments (two left-sided and two right) of patients with SHiGDAs. We also contrasted unique mutational fields in one patient with a large HiGDA (APC with unique mutations) and one patient who prospectively developed a SHiGDA (JAK3).

The SHiGDA (small high-grade dysplastic polyp) patient was p87 negative for any extracted stool, saliva, or colonic effluent via ELISA (enzyme linked immunoadsorbant assay). Furthermore, mean values of expression in segments from the right colon were reduced with respect to the means obtained from the left segments in 233 patients evaluated for a p87 field effect. This has recently been shown to be the case in a large cohort of AA and Caucasian 2294 patients, possibly explaining the right-sided CRC disparity in African Americans and the subsequent increase in mortality. This field effect disparity is also true for two cancers contracted by the SHiGDa patient (lung and prostate).

Thus, this pilot study suggests that the reduction in p87 in the right colon is possibly correlated with JAK3 mutations. If confirmed, JAK3 mutations, known to be associated with immune aberrations, may provide a mechanistic explanation for the lack of a p87 (protein 87 kilodaltons) field in some patients with HGD polyps who might benefit from possible intervention such as more intensive screening. Limited microbiome studies were also performed on two patients with familial cancer syndromes and these compared favorably with controls available from the literature.

The dysregulation of gene expression is one of the key molecular features of colorectal cancer (CRC) development. This study aimed to investigate whether such dysregulation is reflected in rectal swab specimens of CRC patients and to evaluate its potential as a non-invasive approach for screening.

We compared the expression level of 14 CRC-associated genes in tumor and adjacent non-tumor tissue of CRC patients and examined the correlation of their levels in tissue with paired rectal swab specimens. The level of these 14 genes in rectal swab specimens was compared among patients with CRC or polyp and control subjects, and the diagnostic potential of each dysregulated gene and the gene panel were evaluated.

The expression of CXCR2, SAA, COX1, PPARδ, PPARγ, Groγ, IL8, p21, c-myc, CD44 and CSF1 was significantly higher in CRC, and there was a significant correlation in the levels of most of them between the CRC and rectal swab specimens. In the training study, we showed that CD44, IL8, CXCR2 and c-myc levels were significantly higher in the rectal swab specimens of the CRC patients. Such result was confirmed in the validation study. A panel of these four genes was developed, and ROC analysis showed that this four-gene panel could identify CRC patients with an AUC value of 0.83 and identify overall polyp and precancerous adenoma patients with AUC values of 0.6522 and 0.7322, respectively. Finally, the predictive study showed that the four-gene panel demonstrated sensitivities of 63.6%, 76.9% and 88.9% in identifying overall polyp, precancerous adenoma and CRC patients, respectively, whereas the specificity for normal subjects was 72.2%.

The expression of CRC-associated genes in rectal swab specimens reflects the dysregulation status in colorectal tissue, and the four-gene panel is a potential non-invasive biomarker for early precancerous adenoma and CRC screening.

The disease burden of colorectal cancer in East Asia has been at a high level. However, the epidemiological characteristics of the disease burden in this region have not been systematically studied.

Data were obtained from the Global Burden of Disease 2019 program. Joinpoint analysis was used to identify long-term trends in mortality of colorectal cancer. Independent effects of age, period, and cohort were detected by the age-period-cohort model. The Bayesian age-period-cohort model was performed to predict the burden of colorectal cancer across East Asia by 2030.

From 1990 to 2019, the average annual percentage change (AAPC) showed upward trends in mainland China (1.05 [95% confidence interval (CI)], 0.82, 1.28) as well as Taiwan Province of China (1.81 [95% CI], 1.51, 2.10) but downward in Japan (-0.60 [95% CI], -0.70, -0.49) (P < 0.05). Attributable risk factors for colorectal cancer in East Asia remained stable over 30 years, while the risk of metabolic factors is noteworthy in the future. In the next decade, the age-standardized death rate (ASDR) of colorectal cancer in China was predicted to surpass that of Japan and South Korea in expectation.

The mortality of colorectal cancer is escalating in developing countries, while it is gradually declining in high-income countries across East Asia. Nonetheless, the disease burden of colorectal cancer in high-income countries remains substantial level.

The Alaska Native Tribal Health Consortium (ANTHC) participated in the United States Centers for Disease Control and Prevention Colorectal Cancer Control Program (CRCCP) from 2009 to 2015. We conducted a descriptive evaluation of ANTHC CRCCP demographics, quality measures, and clinical outcomes, including screening methods employed within the program and screening outcomes. There were 6981 program screenings completed, with the majority (81.3%) of people screened in the 50-75 year age group. Colonoscopy was the primary screening test used, accounting for 6704 (96.9%) of the screening tests. Quality of colonoscopy was high: adequate bowel preparation was reported in 98.2% of colonoscopies, cecal intubation rate was 98.9%, and the adenoma detection rate was 38.9%. A high proportion (58.9%) of colonoscopies had an initial finding of polyps or lesions suspicious for cancer; 41.2% of all colonoscopies had histological confirmation of either adenomatous polyps (40.6%) or cancer (0.5%). The ANTHC CRCCP successfully increased CRC screening among American Indian and Alaska Native peoples living in Alaska; this was achieved primarily through high-quality colonoscopy metrics. These data support a continued focus by the Alaska Native Tribal Health Consortium and its tribal health partners on increasing CRC screening and reducing cancer mortality among Alaska Native peoples.

The strategy for preventing colorectal cancer is screening by colonoscopy, which offers a direct way for detection and removal of adenomatous polyps (APs). American College of Gastroenterology guidelines recommend that people aged ≥ 45 years should undergo colonoscopy; however, how to deal with people aged ≤ 45 years is still unknown.

To compare the prevalence of APs and high-grade neoplasia between the left and right colon in patients ≤ 45 years.

A retrospective observational study was conducted at a single tertiary III hospital in China. This study included patients aged 18-45 years with undergoing initial colonoscopy dissection and pathological diagnosis AP or high-grade neoplasia between February 2014 and January 2021. The number of APs in the entire colon while screening and post-polypectomy surveillance in following 1-3 years were evaluated.

A total of 3053 cases were included. The prevalence of APs in the left and right colon was 55.0% and 41.6%, respectively (OR 1.7, 95%CI 1.6-2.4; P < 0.05). For APs with high-grade neoplasia, the prevalence was 2.7% and 0.9%, respectively (OR 3.0, 95%CI 2.0-4.6; P < 0.05). Therefore, the prevalence of APs and high-grade neoplasia in the left colon was significantly higher than in the right colon in patients aged ≤ 45 years. There were 327 patients who voluntarily participated in post-polypectomy surveillance in following 1-3 years, and APs were found in 216 cases (66.1%); 170 cases had 1-3 polyps (52.0%) and 46 cases had > 3 polyps (14.1%; OR 0.3, 95%CI 0.1-0.6; P < 0.05).

This study suggests that flexible sigmoidoscopy would be an optimal approach for initial screening in people aged ≤ 45 years and would be a more cost-effective and safe strategy.

To examine and interpret trends in UK cancer incidence and mortality for all cancers combined and for the most common cancer sites in adults aged 35-69 years.

Retrospective secondary data analysis.

Cancer registration data, cancer mortality and national population data from the Office for National Statistics, Public Health Wales, Public Health Scotland, Northern Ireland Cancer Registry, NHS England, and the General Register Office for Northern Ireland.

23 cancer sites were included in the analysis in the UK.

Men and women aged 35-69 years diagnosed with or who died from cancer between 1993 to 2018.

Change in cancer incidence and mortality age standardised rates over time.

The number of cancer cases in this age range rose by 57% for men (from 55 014 cases registered in 1993 to 86 297 in 2018) and by 48% for women (60 187 to 88 970) with age standardised rates showing average annual increases of 0.8% in both sexes. The increase in incidence was predominantly driven by increases in prostate (male) and breast (female) cancers. Without these two sites, all cancer trends in age standardised incidence rates were relatively stable. Trends for a small number of less common cancers showed concerning increases in incidence rates, for example, in melanoma skin, liver, oral, and kidney cancers. The number of cancer deaths decreased over the 25 year period, by 20% in men (from 32 878 to 26 322) and 17% in women (28 516 to 23 719); age standardised mortality rates reduced for all cancers combined by 37% in men (-2.0% per year) and 33% in women (-1.6% per year). The largest decreases in mortality were noted for stomach, mesothelioma, and bladder cancers in men and stomach and cervical cancers and non-Hodgkin lymphoma in women. Most incidence and mortality changes were statistically significant even when the size of change was relatively small.

Cancer mortality had a substantial reduction during the past 25 years in both men and women aged 35-69 years. This decline is likely a reflection of the successes in cancer prevention (eg, smoking prevention policies and cessation programmes), earlier detection (eg, screening programmes) and improved diagnostic tests, and more effective treatment. By contrast, increased prevalence of non-smoking risk factors are the likely cause of the observed increased incidence for a small number of specific cancers. This analysis also provides a benchmark for the following decade, which will include the impact of covid-19 on cancer incidence and outcomes.

Colorectal cancer (CRC) is one of the most prevalent cancers and the second leading cause of cancer deaths in developed countries. Early CRC may have no symptoms and symptoms usually appear with more advanced diseases. Regular screening can identify people who are at increased risk of CRC in order to offer earlier treatment. A cost-effective non-invasive platform for the screening and monitoring of CRC patients allows early detection and appropriate treatment of the disease, and the timely application of adjuvant therapy after surgical operation is needed. In this study, a cohort of 71 plasma samples that include 48 colonoscopy- and histopathology-confirmed CRC patients with TNM stages I to IV were recruited between 2017 and 2019. Plasma mRNA profiling was performed in CRC patients using NanoString nCounter. Normalized data were analyzed using a Mann-Whitney U test to determine statistically significant differences between samples from CRC patients and healthy subjects. A multiple-group comparison of clinical phenotypes was performed using the Kruskal-Wallis H test for statistically significant differences between multiple groups. Among the 27 selected circulating mRNA markers, all of them were found to be overexpressed (gene expression fold change > 2) in the plasma of patients from two or more CRC stages. In conclusion, NanoString-based targeted plasma CRC-associated mRNAs circulating the marker panel that can significantly distinguish CRC patients from a healthy population were developed for the non-invasive diagnosis of CRC using peripheral blood samples.

The development of automated methods for analyzing medical images of colon cancer is one of the main research fields. A colonoscopy is a medical treatment that enables a doctor to look for any abnormalities like polyps, cancer, or inflammatory tissue inside the colon and rectum. It falls under the category of gastrointestinal illnesses, and it claims the lives of almost two million people worldwide. Video endoscopy is an advanced medical imaging approach to diagnose gastrointestinal disorders such as inflammatory bowel, ulcerative colitis, esophagitis, and polyps. Medical video endoscopy generates several images, which must be reviewed by specialists. The difficulty of manual diagnosis has sparked research towards computer-aided techniques that can quickly and reliably diagnose all generated images. The proposed methodology establishes a framework for diagnosing coloscopy diseases. Endoscopists can lower the risk of polyps turning into cancer during colonoscopies by using more accurate computer-assisted polyp detection and segmentation. With the aim of creating a model that can automatically distinguish polyps from images, we presented a modified DeeplabV3+ model in this study to carry out segmentation tasks successfully and efficiently. The framework's encoder uses a pre-trained dilated convolutional residual network for optimal feature map resolution. The robustness of the modified model is tested against state-of-the-art segmentation approaches. In this work, we employed two publicly available datasets, CVC-Clinic DB and Kvasir-SEG, and obtained Dice similarity coefficients of 0.97 and 0.95, respectively. The results show that the improved DeeplabV3+ model improves segmentation efficiency and effectiveness in both software and hardware with only minor changes.

Deficient DNA mismatch repair (MMR) can cause microsatellite instability (MSI) and is more common in colorectal cancer (CRC) patients. Understanding the carcinogenic mechanism of bacteria and their impact on cancer cells is crucial. Bacteroides fragilis (B. fragilis) has been identified as a potential promoter of tumorigenesis through the alteration of signaling pathways. This study aims to assess the expression levels of msh2, msh6, mlh1, and the relative frequency of B. fragilis in biopsy samples from CRC patients.

Based on the sequence of mlh1, msh2, and msh6 genes, B. fragilis specific 16srRNA and bacterial universal 16srRNA specific primers were selected, and the expression levels of the target genes were analyzed using the Real-Time PCR method.

Significant increases in the expression levels of mlh1, msh2, and msh6 genes were observed in the cancer group. Additionally, the expression of these MMR genes showed a significant elevation in samples positive for B. fragilis presence. The relative frequency of B. fragilis in the cancer group demonstrated a significant rise compared to the control group.

The findings suggest a potential correlation between the abundance of B. fragilis and alterations in the expression of MMR genes. Since these genes can play a role in modifying colon cancer, investigating microbial characteristics and gene expression changes in CRC could offer a viable solution for CRC diagnosis.

Colorectal cancer (CRC) poses a significant healthcare challenge, accounting for nearly 6.1% of global cancer cases. Early detection, facilitated by population screening utilizing innovative biomarkers, is pivotal for mitigating CRC incidence. This study aims to scrutinize the fecal and salivary microbiomes of CRC-positive individuals (CPs) in comparison to CRC-negative counterparts (CNs) to enhance early CRC diagnosis through microbial biomarkers.

A total of 80 oral and stool samples were collected from Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran, encompassing both CPs and CNs undergoing screening. Microbial profiling was conducted using 16S rRNA sequencing assays, employing the Nextera XT Index Kit on an Illumina NovaSeq platform.

Distinct microbial profiles were observed in saliva and stool samples of CPs, diverging significantly from those of CNs at various taxonomic levels, including phylum, family, and species. Saliva samples from CPs exhibited abundance of Calothrix parietina, Granulicatella adiacens, Rothia dentocariosa, and Rothia mucilaginosa, absent in CNs. Additionally, Lachnospiraceae and Prevotellaceae were markedly higher in CPs' feces, while the Fusobacteria phylum was significantly elevated in CPs' saliva. Conversely, the non-pathogenic bacterium Akkermansia muciniphila exhibited a significant decrease in CPs' fecal samples compared to CNs.

Through meticulous selection of saliva and stool microbes based on Mean Decrease GINI values and employing logistic regression for saliva and support vector machine models for stool, we successfully developed a microbiota test with heightened sensitivity and specificity for early CRC detection.

Colorectal cancer (CRC) is one of the most aggressive, heterogenous, and fatal types of human cancer for which screening, and more effective therapeutic drugs are urgently needed. Early-stage detection and treatment greatly improve the 5-year survival rate. In the era of targeted therapies for all types of cancer, a complete metabolomic profile is mandatory before neoadjuvant therapy to assign the correct drugs and check the response to the treatment given. The aim of this study is to discover specific metabolic biomarkers or a sequence of metabolomic indicators that possess precise diagnostic capabilities in predicting the efficacy of neoadjuvant therapy. After searching the keywords, a total of 108 articles were identified during a timeframe of 10 years (2013-2023). Within this set, one article was excluded due to the use of non-English language. Six scientific papers were qualified for this investigation after eliminating all duplicates, publications not referring to the subject matter, open access restriction papers, and those not applicable to humans. Biomolecular analysis found a correlation between metabolomic analysis of colorectal cancer samples and poor progression-free survival rates. Biomarkers are instrumental in predicting a patient's response to specific treatments, guiding the selection of targeted therapies, and indicating resistance to certain drugs.

The risk that a large polyp (≥10 mm) evolves into high-grade dysplasia (HGD) is relatively high compared with that of a small/diminutive polyp (<10 mm). Recently, the detection of small and diminutive polyps has been substantially improved with the advancement of endoscopy. However, further research is needed on the role of the incidence of HGD caused by the co-occurrence of small and diminutive polyps in the progression of HGD. In this study, we aim to investigate whether and how the small and diminutive polyps correlate with the incidence of HGD in the population.

The pooled data were deeply analyzed from four published randomized controlled trials (RCTs) regarding colon polyp detection. All polyps detected were examined and confirmed by pathologists. The primary outcome was the composition ratio of the HGD polyps in each polyp size category.

Among a total of 3,179 patients with 2,730 polyps identified, there were 83 HGD polyps confirmed, and 68 patients had at least one polyp with HGD. The risk of development of HGD was lower for a single small and diminutive polyp than for one large polyp (2.18% vs. 22.22%, P < 0.0001). On the contrary, the composition ratio for HGD from small and diminutive polyps was significantly higher than that from the large ones (68.67% vs. 31.33%, P < 0.0001). The combined number of HGD presented a trend negatively correlated to size.

Our data demonstrated that the absolute number of HGD significantly derives more from small and diminutive polyps than from the large ones, and the collective number of small and diminutive polyps per patient is indicative of his/her HGD exposure. These findings positively provide novel perspectives on the management of polyps and may further optimize the prevention of colorectal cancer.

http://www.chictr.org.cn, identifier ChiCTR1900025235, ChiCTR1800017675, ChiCTR1800018058, and ChiCTR1900023086.

To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities.

An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities.

Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, year of diagnosis, age, proximity to superfund sites, and primary payer. Spatio-temporal clusters highlighted geographic areas with a statistically significant high probability of late-stage diagnoses, emphasizing the need for targeted healthcare interventions.

This research underlines the potential of ML in enhancing the prognostic predictions in oncology, particularly in CRC. The gradient boosting model, with its robust performance, holds promise for deployment in healthcare systems to aid early detection and formulate localized cancer prevention strategies. The study's methodology demonstrates a significant step toward utilizing AI in public health to mitigate disparities and improve cancer care outcomes.

Our previous study showed that levels of circulating insulin-like growth factor binding protein-1 (IGFBP-1) has potential diagnostic value for early-stage upper gastrointestinal cancers. This study aimed to assess whether serum IGFBP-1 is a potential diagnostic and prognostic biomarker for CRC patients. IGFBP-1 mRNA expression profile data of peripheral blood in colorectal cancer (CRC) patients were downloaded and analyzed from Gene Expression Omnibus database. We detected serum IGFBP-1 in 138 CRC patients and 190 normal controls using enzyme-linked immunosorbent assay. Blood IGFBP-1 mRNA levels were higher in CRC patients than those in normal controls (P = 0.027). In addition, serum IGFBP-1 protein levels in the CRC group were significantly higher than those in normal control group (P < 0.0001). Serum IGFBP-1 demonstrated better diagnostic accuracy for all CRC and early-stage CRC, respectively, when compared with carcinoembryonic antigen (CEA), carbohydrate antigen19-9 (CA 19-9) or the combination of CEA and CA19-9. Furthermore, Cox multivariate analysis revealed that serum IGFBP-1 was an independent prognostic factor for OS (HR = 2.043, P = 0.045). Our study demonstrated that serum IGFBP-1 might be a potential biomarker for the diagnosis and prognosis of CRC. In addition, the nomogram might be helpful to predict the prognosis of CRC.

In ageing societies such as the United States, evaluating the incidence and survival rates of cancer in older adults is essential. This study aimed to analyse the incidence and survival rates of cancer in individuals aged 55 years or older in the United States.

This retrospective study (1975-2019) was conducted using combined registry data from the Surveillance, Epidemiology, and End Results database. Data from the 9, 12, and 17 Registries (Nov 2021 Sub) datasets were used.

In 2019, the incidence of cancer in individuals older than 55 years and the overall population was 1322.8 and 382.1 per 100,000 population, respectively. From 2000 to 2019, the incidence of cancer in individuals older than 55 years showed a decreasing trend, whereas their five-year survival rates showed an increasing trend. The incidence of cancer in the 75-79 and 80-84 year age groups was the highest among all age groups.

The incidence of colon cancer declined significantly, whereas that of intrahepatic bile duct cancer increased considerably. These trends may be due to increased screening for cancers with high incidence rates and improved control of the risk factors for cancer. Rapid development of targeted therapy and immunotherapy combined with early tumour detection may be an important reason for the improved survival rates.

Early detection of colon cancer leads to better survival outcomes. This can be achieved through colorectal cancer (CRC) screening. People with a family history of cancer (FHC) have increased risk of developing CRC. Increasing screening in this group will reduce CRC mortality. This study evaluated CRC screening in people with FHC.

The study used data from the Health Information National Trends Survey (HINTS) 5, cycle 3. This is an annual cross-sectional survey with a nationally representative sample of American adults. The objective was to study the association between FHC and performing CRC screening. Propensity score matching was used to create a matched population with variables that constituted beliefs in cancer from the survey. Replication procedure, which is based on repeated sampling and allows for accurate computation of standard errors, was used for calculating statistical tests. Multivariable models were fitted in the matched population to assess the association between FHC and performing CRC screening.

People with FHC were 14% (OR = 1.14; 95% CI: 0.81-1.60) more likely to perform CRC screening than those without FHC, even though not statistically significant. Age in years (OR = 1.14; 95% CI: 1.12-5.27) had increased likelihood of performing CRC screening, while other races such as American Indians/Alaskan Natives (except African Americans) compared to Caucasians (OR = 0.49; 95% CI: 0.29-0.84) had significantly decreased likelihood of performing CRC screening.

FHC was not significantly associated with having a colorectal cancer screening test. Public health advocacy should be directed towards increasing awareness of CRC screening among people with FHC.

Colorectal cancer (CRC) is one of the commonest cancers, especially among the Asian populations. We compared the recurrence rate of advanced colorectal neoplasia (ACN) at 5 year vs 7-10 years among individuals with non-advanced adenoma (NAA) detected and polypectomized at baseline colonoscopy in a large Chinese population.

We extracted data of a large Chinese population with NAA polypectomized who received surveillance colonoscopy after 5 or 7-10 years from a large database (2008-2018). The outcome variable included recurrence of ACN at surveillance colonoscopy. We examined the association between length of surveillance and the outcome variable, whilst controlling for risk factors of colorectal cancer.

We include 109 768 subjects who have received a baseline colonoscopy from our dataset. They were aged 67.35 (SD 9.84) years, and 60.9% of them were male subjects. The crude 5-year and 10-year recurrence rate of ACN was 1.50% and 2.42%, respectively (crude odds ratio = 1.629, 95% CI 1.362 to 1.949, P < 0.001). From the binary logistic regression model, individuals with surveillance colonoscopy performed at 10 years had a statistically higher recurrence rate of ACN than those followed-up at 5 year (adjusted odds ratio [aOR] = 1.544, 95% CI 1.266 to 1.877, P < 0.001), but the effect size of aOR is small.

There is a small difference in recurrence of ACN between individuals who received colonoscopy workup at 5 years vs 7-10 years. These findings support a 7-10 years surveillance period after baseline NAA was polypectomized.

Colorectal cancer (CRC) signifies a significant healthcare challenge in Southeast Asia. Despite advancements in screening approaches and treatment modalities, significant medical gaps remain, ranging from prevention and early diagnosis to determining targeted therapy and establishing personalized approaches to managing CRC. There is a need to expand more validated biomarkers in clinical practice. An advanced technique incorporating high-throughput mass spectrometry as a liquid biopsy to unravel a repertoire of glycoproteins and glycans would potentially drive the development of clinical tools for CRC screening, diagnosis and monitoring, and it can be further adapted to the existing standard-of-care procedure. Therefore this review offers a perspective on glycoproteomics-driven liquid biopsy and its potential integration into the clinical care of CRC in the southeast Asia region.

Colorectal cancer is one of the most common malignancies. Survival rates are directly related to the stage of cancer at the time of diagnosis, emphasizing the value of early diagnosis. Positron emission tomography with 18F-fluorodeoxyglucose is the gold standard imaging technique in staging, monitoring after treatment, and follow-up. We aimed to assess the importance of incidental 18F-fluorodeoxyglucose uptake by colon and rectum in positron emission tomography-computed tomography imaging to determine a significant cutoff value for further investigation using colonoscopy and histopathological assessment.

We performed a retrospective analysis of patients with both 18F-fluorodeoxyglucose-positron emission tomography/computed tomography scan and colonoscopy during 1 year and included the cases who had undergone a colonoscopy within 3 months following the positron emission tomography/computed tomography scan due to an incidental positive finding. Patients with a diagnosed colorectal malignancy or with a history of previous colorectal operations were excluded.

A total of 81 patients were included in this study. Among 81 colonoscopic evaluations, histopathology revealed malignancy in 8 patients, and the prevalence of incidental colorectal cancer 18F-fluorodeoxyglucose uptake was found to be 9.87%. SUVmax was found to be significantly related to malignancy and other colonoscopic findings (p<0.001). SUVmax cutoff value to suggest colorectal cancer was found to be median [7.9 (4.1-12.7)] (p<0.001).

Regarding the studies determining a significant cutoff value, incidental colonic 18F-fluorodeoxyglucose uptake on positron emission tomography/computed tomography should lead the clinician to further investigation with colonoscopic biopsy, although the cutoff values for SUVmax are not certain and different in almost every published study, and negative positron emission tomography.computed tomography findings should not completely rule out malignancy, especially in high-risk patients.

Distinguishing malignant from benign lesions has significant clinical impacts on both early detection and optimal management of those early detections. Convolutional neural network (CNN) has shown great potential in medical imaging applications due to its powerful feature learning capability. However, it is very challenging to obtain pathological ground truth, addition to collected in vivo medical images, to construct objective training labels for feature learning, leading to the difficulty of performing lesion diagnosis. This is contrary to the requirement that CNN algorithms need a large number of datasets for the training. To explore the ability to learn features from small pathologically-proven datasets for differentiation of malignant from benign polyps, we propose a Multi-scale and Multi-level based Gray-level Co-occurrence Matrix CNN (MM-GLCM-CNN). Specifically, instead of inputting the lesions' medical images, the GLCM, which characterizes the lesion heterogeneity in terms of image texture characteristics, is fed into the MM-GLCN-CNN model for the training. This aims to improve feature extraction by introducing multi-scale and multi-level analysis into the construction of lesion texture characteristic descriptors (LTCDs). To learn and fuse multiple sets of LTCDs from small datasets for lesion diagnosis, we further propose an adaptive multi-input CNN learning framework. Furthermore, an Adaptive Weight Network is used to highlight important information and suppress redundant information after the fusion of the LTCDs. We evaluated the performance of MM-GLCM-CNN by the area under the receiver operating characteristic curve (AUC) merit on small private lesion datasets of colon polyps. The AUC score reaches 93.99% with a gain of 1.49% over current state-of-the-art lesion classification methods on the same dataset. This gain indicates the importance of incorporating lesion characteristic heterogeneity for the prediction of lesion malignancy using small pathologically-proven datasets.

Despite recommendations to increase the uptake of colorectal cancer (CRC) screening, trends in CRC screening vary with sociodemographic status. We aimed to evaluate trends in CRC screening in the US population and subpopulations.

A total of 1,082,924 participants aged 50 to 75 from five cycles (2012, 2014, 2016, 2018, and 2020) of the Behavioral Risk Factor Surveillance System were involved. Multivariable logistic regression models were performed to evaluate linear trends in CRC screening utilization from 2012 to 2018. Rao-Scott chi-square tests were used to assess the differences in CRC screening utilization between 2018 and 2020.

The estimated percentage reporting up-to-date with CRC screening increased significantly (P for trend <0.001), from 62.8% (95% CI, 62.4%-63.2%) in 2012 to 66.7% (95% CI, 66.3%-67.2%) in 2018 and 70.4% (95% CI, 69.8%-71.0%) in 2020, in accordance with 2008 US Preventive Services Task Force recommendations. Trends followed similar patterns in most subgroups, although with different magnitudes in several subgroups, primarily those underweight showed a stable percentage over time (P for trend  =  0.170). In 2020, 72.4% of participants reported they were up to date with CRC screening, including the utilization of stool DNA tests and virtual colonoscopy. Colonoscopy was the most commonly used test in 2020 (64.5%), followed by FOBT (12.6%), stool DNA test (5.8%), sigmoidoscopy (3.8%), and virtual colonoscopy (2.7%).

In this nationally representative survey of the US population from 2012 through 2020, the percentage reporting up to date with CRC screening has increased, but not equally among all subgroups.