Emerging Tests for Noninvasive Colorectal Cancer Screening

Molecular mechanisms and pathophysiological implications of mucin-type O-glycosylation dysregulation in colorectal cancer progression

Colorectal cancer (CRC) is among the most prevalent malignancies globally, with 1.9 million new cases annually. While CRC pathogenesis has been widely attributed to the adenoma-carcinoma and serrated sequences, our study highlights the critical and multifaceted role of O-glycosylation impairment in this malignancy. Mucin-type O-glycosylation, a key post-translational modification, exerts significant effects on tumor cells, impacting their proliferation, migration, and invasiveness. Additionally, its influence on the immune response to CRC presents novel perspectives for potential therapeutic interventions. The authors conducted a systematic literature review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, using databases such as Google Scholar, PubMed, and Scopus. In this article, we provide a comprehensive analysis of the mechanisms underlying mucin-type O-glycosylation disruption in CRC and examine how these mechanisms could serve as biomarkers for early diagnosis and personalized treatment strategies. Our findings contribute to a more detailed understanding of CRC pathogenesis and offer promising directions for innovative diagnostic and therapeutic approaches, which in the future may lead to improved patient prognosis.

Diagnostic Accuracy of an Add-On, Blood-Based Screening Test for Colorectal Cancer in Two Established Screening Programmes

BACKGROUND

CELTiC is a blood-based test consisting of a panel of four mRNAs (CEACAM6, LGALS4, TSPAN8 and COL1A2) associated with colorectal cancer (CRC). CELTiC has a high sensitivity (90%) for detecting advanced neoplasia (AN) when compared to faecal immunochemical test (FIT)-negative subjects.

AIMS

To evaluate the diagnostic accuracy of CELTiC as an add-on test following a positive FIT in two existing CRC screening programmes.

METHODS

We designed a prospective study in FIT-positive screenees. Analyses were performed in two (partially overlapping) groups: participants with FIT ≥ 47 μg Hb/g faeces (group I) and FIT ≥ 20 μg Hb/g faeces (group II). We estimated CELTIC sensitivity and specificity in detecting AN at a pre-defined and a post hoc threshold (targeted sensitivity: 90%).

RESULTS

We included 809 participants (n = 567 in group I and n = 486 in group II). CELTiC did not reach a sensitivity of 90% at the pre-defined threshold (Group I 41%, group II 27%). At the post hoc thresholds for 90% sensitivity in detecting AN, CELTiC had a specificity of 14% (53/388; 95% CI: 10% to 17%) in group I and 12% (44/354; 95% CI: 9% to 16%) in group II.

CONCLUSIONS

In a FIT-positive population, CELTiC did not reach 90% sensitivity at the pre-defined threshold. At post hoc thresholds corresponding to 90% sensitivity, specificity was low. CELTiC cannot currently be recommended as an add-on test to detect AN in FIT-positive screenees in a CRC screening programme.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT04980443, NCT05205967, NCT04369053.

Early colorectal cancer diagnosis: A novel methylated stool DNA model enhanced the diagnostic efficiency

BACKGROUND

Methylated stool DNA (sDNA) is a reliable noninvasive biomarker for early colorectal cancer (CRC) diagnosis. However, there are barely any diagnostic panels that can achieve both a sensitivity and specificity exceeding 90% simultaneously.

OBJECTIVE

We aimed to identify a novel methylated sDNA panel and model for the early diagnosis of CRC.

METHODS

We conducted methyl-CpG binding domain isolated genome sequencing (MiGS) on CpG island methylation phenotype (CIMP)-positive (n = 3) and CIMP-negative CRC tissues (n = 3) and their corresponding normal adjacent tissues. Subsequently, by utilizing both the aforementioned data and public datasets, we identified a set of promising methylated sDNA markers for CRC. Next, we validated 5 of these genes using pyrosequencing in CRC patients (n = 31). Then, we developed a combined diagnostic model (CDM) for CRC based on the methylation status of PRDM12, FOXE1, and SDC2 by a Training cohort (n = 231). Finally, the performance of CDM was evaluated in an independent multicenter Validation cohort (n = 800).

RESULTS

A total of 1062 participants were included in this study. The area under the curve (AUC) of the CDM was 0.979 (95% CI: 0.960-0.997), and the optimal sensitivity and specificity were 97.35% and 99.05%, respectively, in the training cohort (n = 231). In the independent validation cohort (n = 800), the AUC was 0.950 (95% CI: 0.927-0.973), along with the optimal sensitivity of 92.75% and specificity of 97.21%. When CRC and advanced adenoma (AAD) were used as diagnostic targets, the model AUC was 0.945 (95% CI: 0.922-0.969), with an optimal sensitivity of 91.89% and a specificity of 95.21%. The model sensitivity for nonadvanced adenoma patients was 68.66%.

CONCLUSION

The sDNA diagnostic model CDM, developed from both CIMP-P and CIMP-N, exhibited exceptional performance in CRC and could serve as a potential alternative strategy for CRC screening.

Cost Effectiveness of Colorectal Cancer Screening Strategies in Middle- and High-Income Countries: A Systematic Review

BACKGROUND AND AIM

Colorectal cancer (CRC) is a significant global health burden, and screening can greatly reduce CRC incidence and mortality. Previous studies investigated the economic effects of CRC screening. We performed a systematic review to provide the cost-effectiveness of CRC screening strategies across countries with different income levels.

METHODS

We searched relevant scientific databases (PubMed, Embase, Ovid, Web of Science, Scopus) from January 1, 2010, to December 31, 2023. We selected English-language studies related to model-based economic evaluations of CRC screening strategies. Information such as the characters of screening tests, model characteristics, and key cost-effectiveness findings were collected. The net monetary benefit approach was used to compare the outcomes of various strategies.

RESULTS

A total of 56 studies were identified, including 46 from high-income countries (HICs), 6 from upper-middle-income countries (UMICs), and 4 from lower-middle-income countries (LMICs). Most annual fecal occult blood tests and fecal immunochemical tests were cost-saving, and colonoscopy every 10 years was cost-saving. Other strategies involving multitarget fecal FIT-DNA detection, computed tomography colonography, and flexible sigmoidoscopy were cost-effective compared with no screening. Newer strategies such as magnetic resonance colonography every 5 years, annual urine metabolomic tests, and fecal bacterial biomarkers were cost-effective compared with no screening.

CONCLUSION

In our updated review, we found that common CRC screening strategies and magnetic resonance colonography continued to be cost-effective compared with no screening. Areas for further development include accurately modeling the natural history of colorectal cancer and obtaining more evidence from UMICs and LMICs.

Innovative approaches in colorectal cancer screening: advances in detection methods and the role of artificial intelligence

Colorectal cancer (CRC) is the third most prevalent cancer globally and poses a significant health threat, making early detection crucial. This review paper explored emerging detection methods for early screening of CRC, including gut microbiota, metabolites, genetic markers, and artificial intelligence (AI)-based technologies. Current screening methods have their respective advantages and limitations, particularly in detecting precursors. First, the importance of the gut microbiome in CRC progression is discussed, highlighting how specific microbial alterations can serve as biomarkers for early detection, potentially enhancing diagnostic accuracy when combined with traditional screening methods. Next, research on metabolic reprogramming illustrates the relationship between metabolic changes and CRC, with studies developing metabolite-based detection models that show good sensitivity for early diagnosis. In terms of genetic markers, methylated DNA markers like SEPTIN9 have demonstrated high sensitivity, although further validation across diverse populations is necessary. Lastly, AI technology has shown immense potential in improving adenoma detection rates, significantly enhancing the quality of colonoscopic examinations through image recognition techniques. This review aims to provide a comprehensive perspective on new strategies for CRC screening, emphasizing the potential of noninvasive detection technologies and the prospects of AI and genomics in clinical applications. Despite several challenges, this review advocates for future large-scale prospective studies to validate the effectiveness and cost-effectiveness of these new screening methods while promoting the implementation of screening protocols tailored to individual characteristics.

Are Non-invasive Multi-cancer Early Cancer Detection Tests the Future?

Current cancer screening methods are effective for detecting early stage cancers and even preventing some cancers, but their effectiveness has only been demonstrated for a handful of cancers, and for many cancers, there are no screening tests clinically available. In addition, the majority of the screening methods are not ideal, resulting in suboptimal compliance and the occurrence of preventable cancers. A screening test that is convenient, safe, accurate and that can screen for multiple cancers is an ideal screening test that would address many of the shortcomings of the current tests. Multi-cancer detection tests (MCD) have the potential to meet these challenges and have engendered substantial enthusiasm in light of this. Using advances in DNA sequencing technology, cancer epigenetics and artificial intelligence, they are able to detect a large number of cancers predominantly via the patterns of methylated DNA alterations, DNA sequence alterations, and DNA fragment patterns of cell free DNA in the plasma and can accurately distinguish the cancer site of origin. Of note, some of the tests also combine circulating free DNA (cfDNA) with protein-based markers. However, for the majority of early stage cancers, the sensitivity is modest and below that of most of the current standard of care cancer screening tests. Furthermore, the clinical utility of screening for many of the cancers detectable by MCD tests remains to be proven. Here we describe the features of MCD tests, review the current data supporting their potential to be used in the clinic for cancer screening, and discuss the knowledge gaps surrounding understanding their clinical utility, with a focus on GI cancer screening.

Mapping the Future: A Comprehensive Bibliometric Analysis of Circulating Tumor DNA in Colorectal Cancer

Purpose

Colorectal cancer (CRC) is among the most prevalent malignancies worldwide, with rising incidence and mortality rates presenting substantial public health challenges. Traditional detection methods have inherent limitations, which has led to growing interest in liquid biopsy technologies for the identification of circulating tumor DNA (ctDNA). The aim of this study is to explore the developmental trends and future prospects of ctDNA in colorectal cancer through bibliometric analysis.

Methods

This bibliometric analysis examines the literature on ctDNA in CRC from 2004 to 2024, utilizing the Web of Science Core Collection database to identify research trends, key areas of interest, and potential future directions. The R package "bibliometrix" and VOSviewer software were employed for bibliometric analysis and visualization. The analysis encompassed an evaluation of publication volume, contributing authors, influential journals, country and institutional contributions, and citation metrics.

Results

The analysis encompassed a total of 1,054 publications, demonstrating a marked escalation in research activity since 2015. The journal "Cancers" has been identified as the most prolific publisher within this domain. Prominent researchers, including Bardelli A and Sartore-Bianchi A, have made substantial contributions to the field. The United States is the leading country in terms of both publication volume and citation frequency, followed by China and Italy. A keyword analysis identified seven conceptual clusters, with "circulating tumor DNA" and "liquid biopsy" emerging as predominant themes.

Conclusion

This study emphasizes the evolving emphasis on the clinical applications of ctDNA, encompassing early detection, treatment monitoring, and prognostic assessment in CRC, thereby underscoring its potential as a non-invasive biomarker in oncology.

Diagnostics and Therapy for Malignant Tumors

Malignant tumors remain one of the most significant global health challenges and contribute to high mortality rates across various cancer types. The complex nature of these tumors requires multifaceted diagnostic and therapeutic approaches. This review explores current advancements in diagnostic methods, including molecular imaging, biomarkers, and liquid biopsies. It also delves into the evolution of therapeutic strategies, including surgery, chemotherapy, radiation therapy, and novel targeted therapies such as immunotherapy and gene therapy. Although significant progress has been made in the understanding of cancer biology, the future of oncology lies in the integration of precision medicine, improved diagnostic tools, and personalized therapeutic approaches that address tumor heterogeneity. This review aims to provide a comprehensive overview of the current state of cancer diagnostics and treatments while highlighting emerging trends and challenges that lie ahead.

circFOXP1: a potential diagnostic and therapeutic target in human diseases

Circular RNA (circRNA) are a unique class of non-coding RNAs characterized by their covalently closed loop structures, which grant them properties such as stability and conservation. Among these, circFOXP1 has been implicated in various diseases, including cancers, respiratory, skeletal, and cardiovascular disorders. This review systematically examines circFOXP1's role in disease progression, highlighting its involvement in critical biological processes, including cell proliferation, invasion, apoptosis, and autophagy. Mechanistically, circFOXP1 functions through miRNA sponging, protein interactions, and modulation of key signaling pathways such as Wnt and PI3K/AKT. We discuss its potential as a diagnostic and therapeutic target. Our analysis also identifies key unresolved questions, such as the precise regulatory networks involving circFOXP1 and its translation potential, offering pathways for future research.

Selection of optimal extraction and RT-PCR protocols for stool RNA detection of colorectal cancer associated immune genes

There is a growing interest in using fecal mRNA transcripts as biomarkers for non-invasive detection of colorectal cancer (CRC). The following study compares different RNA extraction and reverse transcription PCR (RT-PCR) methods for mRNA detection in stool and identifies a robust and sensitive protocol. A combination of the Stool total RNA purification kit (Norgen) and the Superscript III one-step RT-PCR kit (Invitrogen) provided high RNA purity and sensitive and consistent mRNA detection, making them well-suited candidates for large-scale studies. We tested the protocol by detecting the mRNA of several immune genes (CXCL1, IL8, IL1B, IL6, PTGS2, and SPP1) in 22 CRCs, 24 adenomatous polyps, and 22 control stool samples. All these inflammatory markers, except for CXCL1, showed a strong association with CRC. Cancer stool samples showed increased levels of IL1B, IL8, and PTGS2 transcripts compared to polyp and control groups. Thus, this work supports the potential use of fecal mRNA as biomarkers for CRC detection.

Biomarkers in Colorectal Cancer: Actual and Future Perspectives

Biomarkers in colorectal cancer (CRC) are of great interest in the current literature due to improvements in techniques such as liquid biopsy and next-generation sequencing (NGS). However, screening methods vary globally, with multi-target stool DNA (mt-sDNA) predominantly used in the USA and, more recently, the Cologuard Plus; biomarkers such as the Galectins family and septins show promise in early detection. Gut microbiome assessments, such as Fusobacterium nucleatum, are under intense exploration. Diagnostic tests, such as circulating DNA analysis via NGS, exhibit effectiveness and are being increasingly adopted. Circulating tumor cells emerge as potential alternatives to traditional methods in terms of diagnosis and prognosis. Predictive biomarkers are well established in guidelines; nonetheless, with the aid of machine learning and artificial intelligence, these biomarkers may be improved. This review critically explores the actual dynamic landscape of CRC biomarkers and future, promising biomarkers involved in screening, diagnosis, and prognosis.

An Adjustable Positivity Threshold for Non-invasive Screening Tests for Colorectal Neoplasms Can Improve Screening Program Effectiveness and Feasibility

BACKGROUND

In two-step population screening for colorectal cancer (CRC), a simple non-invasive test, commonly a fecal immunochemical test for hemoglobin (FIT), is first undertaken to predict, based on the fecal hemoglobin concentration (f-Hb), who is more likely to have colorectal neoplasia and needs colonoscopy.

AIM

To evaluate the importance of being able to adjust the f-Hb threshold that triggers follow-up colonoscopy (the "positivity threshold"), we evaluated the predictive value of f-Hb for colorectal neoplasia and its implications for the configuration of new non-invasive tests.

METHODS

A literature review was conducted on the use of quantitative FIT to select the positivity threshold, followed by using f-Hb from a large population to model how adjusting the positivity threshold enabled achievement of the desired program outcomes in a feasible manner.

RESULTS

The literature review and the modeling found that while the f-Hb positivity threshold is predictive for colorectal neoplasia across a wide range of f-Hb, there is a complex relationship between program outcomes and f-Hb. The threshold determines not just clinical accuracy (including true- and false-positive results for CRC and/or advanced precursor lesions), but also the colonoscopy workload. A lower f-Hb threshold is associated with a higher sensitivity for neoplasia but a lower specificity and a heavier load of follow-up colonoscopies. Consequently, the threshold determines a program's impact on population CRC mortality and incidence, but also its feasibility and cost-effectiveness within a health-care system.

DISCUSSION

We are entering a new era of non-invasive screening tests, where multiple biomarkers found in biological samples such as blood as well as feces, are being developed and evaluated. These typically specify a non-transparent algorithm, developed with machine learning, to provide a predictive dichotomous positive/negative result with a fixed associated clinical accuracy and colonoscopy workload. This will restrict use of new tests in jurisdictions where the accuracy and workload implications do not match the desired screening program outcomes.

CONCLUSION

However, similar to flexible FIT positivity thresholds, it would be ideal if new tests also provide capacity for screening program providers to select the positivity threshold that delivers their desired screening outcomes in a feasible manner. How marketing, distribution and reimbursement of non-invasive tests are approved, funded and implemented varies widely across jurisdictions and must be taken into account.

5-Hydroxymethylated Biomarkers in Cell-Free DNA Predict Occult Colorectal Cancer up to 36 Months Before Diagnosis in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial

PURPOSE

Using the prostate, lung, colorectal, and ovarian (PLCO) Cancer Screening Trial samples, we identified cell-free DNA (cfDNA) candidate biomarkers bearing the epigenetic mark 5-hydroxymethylcytosine (5hmC) that detected occult colorectal cancer (CRC) up to 36 months before clinical diagnosis.

MATERIALS AND METHODS

We performed the 5hmC-seal assay and sequencing on ≤8 ng cfDNA extracted from PLCO study participant plasma samples, including n = 201 cases (diagnosed with CRC within 36 months of blood collection) and n = 401 controls (no cancer diagnosis on follow-up). We conducted association studies and machine learning modeling to analyze the genome-wide 5hmC profiles within training and validation groups that were randomly selected at a 2:1 ratio.

RESULTS

We successfully obtained 5hmC profiles from these decades-old samples. A weighted Cox model of 32 5hmC-modified gene bodies showed a predictive detection value for CRC as early as 36 months before overt tumor diagnosis (training set AUC, 77.1% [95% CI, 72.2 to 81.9] and validation set AUC, 72.8% [95% CI, 65.8 to 79.7]). Notably, the 5hmC-based predictive model showed comparable performance regardless of sex and race/ethnicity, and significantly outperformed risk factors such as age and obesity (assessed as BMI). Finally, when splitting cases at median weighted prediction scores, Kaplan-Meier analyses showed significant risk stratification for CRC occurrence in both the training set (hazard ratio, [HR], 3.3 [95% CI, 2.6 to 5.8]) and validation set (HR, 3.1 [95% CI, 1.8 to 5.8]).

CONCLUSION

Candidate 5hmC biomarkers and a scoring algorithm have the potential to predict CRC occurrence despite the absence of clinical symptoms and effective predictors. Developing a minimally invasive clinical assay that detects 5hmC-modified biomarkers holds promise for improving early CRC detection and ultimately patient outcomes.

In vivo staging of colitis, adenoma and carcinoma in CRC progression by combination of H4R/DRD4-targeted fluorescent probes

Colorectal cancer (CRC) is the third most prevalent malignancy and the second leading cause of cancer-related mortality worldwide. Currently, CRC staging heavily relies on invasive surgical procedures for in vitro pathological analysis, which entails long detection cycles and increases the risk of metastasis. There is an urgent need for specific biomarkers to classify adenomas and cancers, while early in vivo staging detection could potentially reduce mortality and morbidity rates. This study focused on Type IV histamine receptor (H4R), which is highly expressed only in the inflammatory stage, and Dopamine receptor D4 (DRD4), which is highly expressed in colorectal adenoma and carcinoma stages. Fluorescent targeted molecular probes H4R-Cy5 and DRD4-M were constructed respectively. The in vitro cell level proves that H4R-Cy5 only has high specificity for RAW264.7 cells, and DRD4-M only has good affinity for HT29 cells. In inflammation-HT29 subcutaneous tumors, H4R-Cy5 and DRD4-M can target inflammation and tumor lesions respectively. In addition, this study is the first to combine the two probes to explore the feasibility of in vivo non-invasive staging on CRC mouse models. The results show that H4R-Cy5 can distinguish and identify the stages of inflammation in vivo, and the DRD4-M probe can accurately identify the stages of colorectal adenoma and carcinoma in vivo. The combination of these two probes can achieve precise non-invasive staging of colitis, adenoma and carcinoma, which is a major advance in the development of accurate diagnostic methods for colorectal precancerous lesions and has important implications for the selection of treatment strategies.

Liquid Biopsy in the Clinical Management of Cancers

Liquid biopsy, a noninvasive diagnosis that examines circulating tumor components in body fluids, is increasingly used in cancer management. An overview of relevant literature emphasizes the current state of liquid biopsy applications in cancer care. Biomarkers in liquid biopsy, particularly circulating tumor DNA (ctDNA), circulating tumor RNAs (ctRNA), circulating tumor cells (CTCs), extracellular vesicles (EVs), and other components, offer promising opportunities for early cancer diagnosis, treatment selection, monitoring, and disease assessment. The implementation of liquid biopsy in precision medicine has shown significant potential in various cancer types, including lung cancer, colorectal cancer, breast cancer, and prostate cancer. Advances in genomic and molecular technologies such as next-generation sequencing (NGS) and digital polymerase chain reaction (dPCR) have expanded the utility of liquid biopsy, enabling the detection of somatic variants and actionable genomic alterations in tumors. Liquid biopsy has also demonstrated utility in predicting treatment responses, monitoring minimal residual disease (MRD), and assessing tumor heterogeneity. Nevertheless, standardizing liquid biopsy techniques, interpreting results, and integrating them into the clinical routine remain as challenges. Despite these challenges, liquid biopsy has significant clinical implications in cancer management, offering a dynamic and noninvasive approach to understanding tumor biology and guiding personalized treatment strategies.

Clinical application of liquid biopsy in colorectal cancer: detection, prediction, and treatment monitoring

Colorectal cancer (CRC) is one of the most prevalent malignancies affecting the gastrointestinal tract and is ranked third among cancers with the highest incidence and second-highest mortality rate worldwide. CRC exhibits a slow progression providing a wide treatment window. The currently employed CRC screening methods have shown great potential to prevent CRC and reduce CRC-related morbidity and mortality. The diagnosis of CRC is achieved by colonoscopy and tissue biopsy, with studies showing that liquid biopsy is more effective in detecting and diagnosing early CRC patients. Increasing number of studies have shown that the tumor components shed into circulating blood can be detected in liquid form, and can be applied in the clinical management of CRC. Analysis of circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), or tumor-associated platelets (TEPs) in the blood can be used for early screening and diagnosis of CRC, aid tumor staging, treatment response monitoring, and prediction of CRC recurrence and metastasis in a minimally invasive manner. This chapter provides an updated review of CTCs, ctDNA, and TEPs as novel biomarkers for CRC, highlighting their strengths and limitations.

miRNA as a Biomarker for the Early Detection of Colorectal Cancer

MicroRNAs (miRNAs) are short, non-coding RNA segments that can be detected in a variety of clinical samples, including serum, stool, and urine. While miRNAs were initially known for their effect on post-translational gene expression, the last decade of research has shown them to be promising biomarkers for the detection of many types of cancer. This paper explores the use of miRNA detection as a tool for colorectal cancer (CRC) screening. We discuss the current state of miRNA detection, compare it to the existing CRC screening tools, and highlight the advantages and drawbacks of this approach from a clinical and logistical perspective. Our research finds that miRNA-based tests for CRC show great potential, but that widespread clinical adoption will be conditional on future research overcoming key hurdles.

Reduction in colorectal cancer incidence by screening endoscopy

Colorectal cancer (CRC) incidence rates decreased by up to 50% in older age groups in the USA in the era of the widespread uptake of screening colonoscopy, despite adverse trends in CRC risk factors and increasing CRC incidence at younger ages. However, reported first results from a randomized trial, the NordICC study, suggested rather modest effects of screening colonoscopy. As outlined in this Perspective, the apparent discrepancy between real-world and trial evidence could be explained by strong attenuation of effect estimates from screening endoscopy trials by several factors, including limited screening adherence, widespread uptake of colonoscopy outside the screening offers and the inclusion of prevalent, non-preventable CRC cases in reported numbers of incident cases. Alternative interpretations of screening endoscopy trial results accounting for prevalence bias are in line with trends in CRC incidence reduction in countries offering CRC screening, and should encourage more widespread implementation and uptake of effective CRC screening.

Screening for Colorectal Cancer: The Role of Clinical Laboratories

BACKGROUND

Colorectal cancer (CRC) is a leading cause of cancer incidence and mortality. Screening can result in reductions in incidence and mortality, but there are many challenges to uptake and follow-up.

CONTENT

Here, we will review the changing epidemiology of CRC, including increasing trends for early and later onset CRC; evidence to support current and emerging screening strategies, including noninvasive stool and blood-based tests; key challenges to ensuring uptake and high-quality screening; and the critical role that clinical laboratories can have in supporting health system and public health efforts to reduce the burden of CRC on the population.

SUMMARY

Clinical laboratories have the opportunity to play a seminal role in optimizing early detection and prevention of CRC.

Estimated impact and value of blood-based colorectal cancer screening at varied adherence compared with stool-based screening

OBJECTIVE

This analysis estimated the outcomes of triennial blood-based colorectal cancer (CRC) screening at various adherence, including perfect adherence, compared with triennial multi-target stool DNA (mt-sDNA) screening at the reported real-world adherence rate.

METHODS

The validated CRC-AIM model simulated a US cohort of average-risk individuals receiving triennial screening with mt-sDNA or blood-based test from ages 45 to 75 years. Modeled specificity and sensitivity were based on reported data. Adherence was set at a real-world rate of 65.6% for mt-sDNA and at 65.6%, relative 10% incremental increases from 65.6%, or 100% for the blood-based test. Costs of mt-sDNA and the blood-based test were based on prices for clinically available tests ($508.87 and $895, respectively). Value-based pricing was estimated at a willingness-to-pay threshold of $100,000.

RESULTS

Both tests resulted in life-years gained (LYG), reduced CRC cases, and reduced deaths versus no screening. With adherence for mt-sDNA set at 65.6% and for blood-based test set at 100%, mt-sDNA resulted in 30% more LYG, 52% more averted CRC cases, and 32% more averted CRC deaths. At reported sensitivity and specificity rates, mt-sDNA at 65.6% adherence dominates (is more effective and less costly) the blood-based test at any adherence. There was no price at which triennial screening with the blood-based test at any adherence was cost-effective compared with mt-sDNA at 65.6% adherence.

CONCLUSIONS

Triennial screening with mt-sDNA resulted in better clinical outcomes at a lower cost compared with the modeled blood-based test even at perfect adherence, supporting application of blood-based tests only as a secondary screening option.

Evaluating the clinical performance of SDC2/NDRG4 methylation for colorectal cancer detection

Purpose: The performance and clinical accuracy of combined SDC2/NDRG4 methylation were evaluated in diagnosing colorectal cancer (CRC) and advanced adenoma. Methods: A total of 2333 participants were enrolled to assess the sensitivity and specificity of biomarkers in diagnosing CRC in a multicenter clinical trial through feces DNA methylation tests. Results: SDC2/NDRG4 methylation showed excellent performance for CRC detection in biomarker research and the real world. Its sensitivity for detecting CRC, early CRC and advanced adenoma were 92.06%, 91.45% and 62.61%, respectively. Its specificity was 94.29%, with a total coincidence rate of 88.28%. When interference samples were included, the specificity was still good (82.61%). Therefore, the SDC2/NDRG4 methylation test showed excellent performance in detecting CRC and advanced adenoma under clinical application.

A Narrative Literature Review on Sepsis: A Primary Manifestation of Colorectal Neoplasm

Sepsis and colorectal cancer (CRC) exhibit a complex relationship that warrants further exploration. This review delves into the interplay of factors between sepsis and CRC, uncovering shared pathophysiological traits and potential bacterial associations. Understanding these connections could pave the way for earlier diagnosis, improved management, and enhanced outcomes in CRC patients. The role of immune system dysfunction, hypoalbuminemia, and specific microbial imbalances, such as Streptococcus bovis and Clostridium septicum, are discussed. Recognizing sepsis in CRC patients is crucial for timely intervention, and tailored approaches encompassing antibiotic therapy, source control measures, and cancer treatment are essential for comprehensive care. Monitoring biomarkers and ratios can provide valuable insights into complications and overall health outcomes. A multidisciplinary approach involving various specialists is necessary to address the global burden of CRC and its association with sepsis while exploring novel interventions, such as fecal microbiota transplantation and personalized care. We conducted a thorough search using reputable databases such as PubMed, Scopus, and Google Scholar to investigate the connection between sepsis and CRC. We refined our search terms, utilized sidebar filters, and examined references in selected articles. This meticulous process helped us create a comprehensive literature review and gain valuable insights into this relationship.

Early Screening of Colorectal Precancerous Lesions Based on Combined Measurement of Multiple Serum Tumor Markers Using Artificial Neural Network Analysis

Many patients with colorectal cancer (CRC) are diagnosed in the advanced stage, resulting in delayed treatment and reduced survival time. It is urgent to develop accurate early screening methods for CRC. The purpose of this study is to develop an artificial intelligence (AI)-based artificial neural network (ANN) model using multiple protein tumor markers to assist in the early diagnosis of CRC and precancerous lesions. In this retrospective analysis, 148 cases with CRC and precancerous diseases were included. The concentrations of multiple protein tumor markers (CEA, CA19-9, CA 125, CYFRA 21-1, CA 72-4, CA 242) were measured by electrochemical luminescence immunoassays. By combining these markers with an ANN algorithm, a diagnosis model (CA6) was developed to distinguish between normal healthy and abnormal subjects, with an AUC of 0.97. The prediction score derived from the CA6 model also performed well in assisting in the diagnosis of precancerous lesions and early CRC (with AUCs of 0.97 and 0.93 and cut-off values of 0.39 and 0.34, respectively), which was better than that of individual protein tumor indicators. The CA6 model established by ANN provides a new and effective method for laboratory auxiliary diagnosis, which might be utilized for early colorectal lesion screening by incorporating more tumor markers with larger sample size.

Microsatellite Instability and Immune Response: From Microenvironment Features to Therapeutic Actionability-Lessons from Colorectal Cancer

Microsatellite instability (MSI) can be found in 15-20% of all colorectal cancers (CRC) and is the key feature of a defective DNA mismatch repair (MMR) system. Currently, MSI has been established as a unique and pivotal biomarker in the diagnosis, prognosis, and treatment of CRC. MSI tumors display a strong lymphocytic activation and a shift toward a tumoral microenvironment restraining metastatic potential and ensuing in a high responsiveness to immunotherapy of MSI CRC. Indeed, neoplastic cells with an MMR defect overexpress several immune checkpoint proteins, such as programmed death-1 (PD-1) and programmed death-ligand 1(PD-L1), that can be pharmacologically targeted, allowing for the revival the cytotoxic immune response toward the tumor. This review aims to illustrate the role of MSI in the tumor biology of colorectal cancer, focusing on the immune interactions with the microenvironment and their therapeutic implications.