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Despite ethical and historical arguments for removing race from clinical algorithms, the consequences of removal remain unclear. Here, we highlight a largely undiscussed consideration in this debate: varying data quality of input features across race groups. For example, family history of cancer is an essential predictor in cancer risk prediction algorithms but is less reliably documented for Black participants and may therefore be less predictive of cancer outcomes. Using data from the Southern Community Cohort Study, we assessed whether race adjustments could allow risk prediction models to capture varying data quality by race, focusing on colorectal cancer risk prediction. We analyzed 77,836 adults with no history of colorectal cancer at baseline. The predictive value of self-reported family history was greater for White participants than for Black participants. We compared two cancer risk prediction algorithms-a race-blind algorithm which included standard colorectal cancer risk factors but not race, and a race-adjusted algorithm which additionally included race. Relative to the race-blind algorithm, the race-adjusted algorithm improved predictive performance, as measured by goodness of fit in a likelihood ratio test (P-value:

BackgroundThe Affordable Care Act expanded Medicaid coverage for people with low income in the United States. Expanded insurance coverage could promote more timely access to cancer treatment, which could improve overall survival (OS), yet the long-term effects of Medicaid expansion (ME) remain unknown. We evaluated whether ME was associated with improved timely treatment initiation (TTI) and 3-year OS among patients with breast, cervical, colon, and lung cancers who were affected by the policy.MethodsMedicaid-insured or uninsured patients aged 40-64 with stage I-III breast, cervical, colon, or non-small cell lung cancer within the National Cancer Database (NCDB). A difference-in-differences (DID) approach was used to compare changes in TTI (within 60 days) and 3-year OS between patients in ME states versus nonexpansion (NE) states before (2010-2013) and after (2015-2018) ME. Adjusted DID estimates for TTI and 3-year OS were calculated using multivariable linear regression and Cox proportional hazards regression models, respectively.ResultsME was associated with a relative increase in TTI within 60 days for breast (DID = 4.6; p

PURPOSE: To examine the association of a traditional Mexican diet score with risk of total, breast, and colorectal cancer among women of Mexican ethnic descent in the Womens Health Initiative (WHI). METHODS: Participants were WHI enrollees who self-identified as being of Mexican descent. Data from food frequency questionnaires self-administered at study baseline were used to calculate the MexD score, with higher scores indicating greater adherence to an a priori-defined traditional Mexican diet (high in dietary fiber, vegetables, and legumes). Incident cancers were self-reported by participants from 1993 to 2020 and adjudicated by trained physicians. We used multivariable-adjusted Cox proportional hazards models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: Among 2,343 Mexican descent women (median baseline age: 59 years), a total of 270 cancers (88 breast, 37 colorectal) occurred during a mean follow-up of 14.4 years. The highest tertile of MexD score was associated with a lower risk of all-cancer incidence (HR: 0.67; 95% CI 0.49-0.91; p-trend: 0.01) and colorectal cancer (HR: 0.38; 95% CI 0.14-0.998; p-trend

BACKGROUND: Both defects in mismatch repair (dMMR) and high microsatellite instability (MSI-H) have been recognised as crucial biomarkers that guide treatment strategies and disease management in colorectal cancer (CRC). As MMR and MSI tests are being widely conducted, an increasing number of MSI-H tumours have been identified in CRCs with mismatch repair proficiency (pMMR). The objective of this study was to assess the clinical features of patients with pMMR/MSI-H CRC and elucidate the underlying molecular mechanism in these cases. METHODS: From January 2015 to December 2018, 1684 cases of pMMR and 401 dMMR CRCs were enrolled. Of those patients, 93 pMMR/MSI-H were identified. The clinical phenotypes and prognosis were analysed. Frozen and paraffin-embedded tissue were available in 35 patients with pMMR/MSI-H, for which comprehensive genomic and transcriptomic analyses were performed. FINDINGS: In comparison to pMMR/MSS CRCs, pMMR/MSI-H CRCs exhibited significantly less tumour progression and better long-term prognosis. The pMMR/MSI-H cohorts displayed a higher presence of CD8+ T cells and NK cells when compared to the pMMR/MSS group. Mutational signature analysis revealed that nearly all samples exhibited deficiencies in MMR genes, and we also identified deleterious mutations in MSH3-K383fs. INTERPRETATION: This study revealed pMMR/MSI-H CRC as a distinct subgroup within CRC, which manifests diverse clinicopathological features and long-term prognostic outcomes. Distinct features in the tumour immune-microenvironment were observed in pMMR/MSI-H CRCs. Pathogenic deleterious mutations in MSH3-K383fs were frequently detected, suggesting another potential biomarker for identifying MSI-H. FUNDING: This work was supported by the Science and Technology Commission of Shanghai Municipality (20DZ1100101).

Today, colorectal cancer (CRC) diagnosis is performed using colonoscopy, which is the current, most effective screening method. However, colonoscopy poses risks of harm to the patient and is an invasive process. Recent research has proven metabolomics as a potential, non-invasive detection method, which can use identified biomarkers to detect potential cancer in a patients body. The aim of this study is to develop a machine-learning (ML) model based on chemical descriptors that will recognize CRC-associated metabolites. We selected a set of metabolites found as the biomarkers of CRC, confirmed that they participate in cancer-related pathways, and used them for training a machine-learning model for the diagnostics of CRC. Using a set of selective metabolites and random compounds, we developed a range of ML models. The best performing ML model trained on Stage 0-2 CRC metabolite data predicted a metabolite class with 89.55% accuracy. The best performing ML model trained on Stage 3-4 CRC metabolite data predicted a metabolite class with 95.21% accuracy. Lastly, the best-performing ML model trained on Stage 0-4 CRC metabolite data predicted a metabolite class with 93.04% accuracy. These models were then tested on independent datasets, including random and unrelated-disease metabolites. In addition, six pathways related to these CRC metabolites were also distinguished: aminoacyl-tRNA biosynthesis; glyoxylate and dicarboxylate metabolism; glycine, serine, and threonine metabolism; phenylalanine, tyrosine, and tryptophan biosynthesis; arginine biosynthesis; and alanine, aspartate, and glutamate metabolism. Thus, in this research study, we created machine-learning models based on metabolite-related descriptors that may be helpful in developing a non-invasive diagnosis method for CRC.

BACKGROUND: Rural residents have a higher prevalence of colorectal cancer (CRC) mortality compared to urban individuals. Policies have been aimed at improving access to CRC screening to reduce these outcomes. However, little attention has been paid to other determinants of CRC-related outcomes, such as stage at diagnosis, treatment, or survivorship care. The main objective of this analysis was to evaluate literature describing differences in CRC screening, stage at diagnosis, treatment, and survivorship care between rural and urban individuals. MATERIALS AND METHODS: We conducted a systematic review of electronic databases using a combination of MeSH and free-text search terms related to CRC screening, stage at diagnosis, treatment, survivorship care, and rurality. We identified 921 studies, of which 39 were included. We assessed methodological quality using the ROBINS-E tool and summarized findings descriptively. A meta-analysis was performed of studies evaluating CRC screening using a random-effects model. RESULTS: Seventeen studies reported disparities between urban and rural populations in CRC screening, 12 on treatment disparities, and 8 on staging disparities. We found that rural individuals were significantly less likely to report any type of screening at any time period (pooled odds ratio = 0.81, 95% CI, 0.76-0.86). Results were inconclusive for disparities in staging at diagnosis and treatment. One study reported a lower likelihood of use of CRC survivorship care for rural individuals compared to urban individuals. CONCLUSION: There remains an urgent need to evaluate and address CRC disparities in rural areas. Investigators should focus future work on assessing the quality of staging at diagnosis, treatment, and survivorship care in rural areas.

Previous research has found that milk is associated with a decreased risk of colorectal cancer (CRC). However, it is unclear whether the milk digestion by the enzyme lactase-phlorizin hydrolase (LPH) plays a role in CRC susceptibility. Our study aims to investigate the direct causal relationship of CRC risk with LPH levels by applying a two-sample Mendelian Randomization (MR) strategy. Genetic instruments for LPH were derived from the Fenland Study, and CRC-associated summary statistics for these instruments were extracted from the FinnGen Study, PLCO Atlas Project, and Pan-UK Biobank. Primary MR analyses focused on a cis-variant (rs4988235) for LPH levels, with results integrated via meta-analysis. MR analyses using all variants were also undertaken. This analytical approach was further extended to assess CRC subtypes (colon and rectal). Meta-analysis across the three datasets illustrated an inverse association between genetically predicted LPH levels and CRC risk (OR: 0.92 [95% CI, 0.89-0.95]). Subtype analyses revealed associations of elevated LPH levels with reduced risks for both colon (OR: 0.92 [95% CI, 0.89-0.96]) and rectal cancer (OR: 0.92 [95% CI, 0.87, 0.98]). Consistency was observed across varied analytical methods and datasets. Further exploration is warranted to unveil the underlying mechanisms and validate LPHs potential role in CRC prevention.

Claudins (CLDN1-CLDN24) are a family of tight junction proteins whose dysregulation has been implicated in tumorigeneses of many cancer types. In colorectal cancer (CRC), CLDN1, CLDN2, CLDN4, and CLDN18 have been shown to either be upregulated or aberrantly expressed. In the normal colon, CLDN1 and CLDN3-7 are expressed. Although a few claudins, such as CLDN6 and CLDN7, are expressed in CRC their levels are reduced compared to the normal colon. The present review outlines the expression profiles of claudin proteins in CRC and those that are potential biomarkers for prognostication.

Bile acids (BAs) affect the intestinal environment by ensuring barrier integrity, maintaining microbiota balance, regulating epithelium turnover, and modulating the immune system. As a master regulator of BA homeostasis, farnesoid X receptor (FXR) is severely compromised in patients with inflammatory bowel disease (IBD) and colitis-associated colorectal cancer (CAC). At the front line, gut macrophages react to the microbiota and metabolites that breach the epithelium. We aim to study the role of the BA/FXR axis in macrophages. This study demonstrates that inflammation-induced epithelial abnormalities compromised FXR signaling and altered BAs' profile in a mouse CAC model. Further, gut macrophage-intrinsic FXR sensed aberrant BAs, leading to pro-inflammatory cytokines' secretion, which promoted intestinal stem cell proliferation. Mechanistically, activation of FXR ameliorated intestinal inflammation and inhibited colitis-associated tumor growth, by regulating gut macrophages' recruitment, polarization, and crosstalk with Th17 cells. However, deletion of FXR in bone marrow or gut macrophages escalated the intestinal inflammation. In summary, our study reveals a distinctive regulatory role of FXR in gut macrophages, suggesting its potential as a therapeutic target for addressing IBD and CAC.

As the Editor-in-Chief of World Journal of Gastroenterology, every week prior to a new issues online publication, I perform a careful review of all encompassed articles, including the title, clinical and/or research importance, originality, novelty, and ratings by the peer reviewers. Based on this review, I select the papers of choice and suggest pertinent changes (e.g., in the title) to the Company Editors responsible for publication. This process, while time-consuming, is very important for assuring the quality of publications and highlighting important articles that Readers may revisit.

INTRODUCTION: Non-Hispanic Black (NHB) Americans have a higher incidence of colorectal cancer (CRC) and worse survival than non-Hispanic white (NHW) Americans, but the relative contributions of biological versus access to care remain poorly characterized. This study used two nationwide cohorts in different healthcare contexts to study health system effects on this disparity. METHODS: We used data from the Surveillance, Epidemiology, and End Results (SEER) registry as well as the United States Veterans Health Administration (VA) to identify adults diagnosed with colorectal cancer between 2010 and 2020 who identified as non-Hispanic Black (NHB) or non-Hispanic white (NHW). Stratified survival analyses were performed using a primary endpoint of overall survival, and sensitivity analyses were performed using cancer-specific survival. RESULTS: We identified 263,893 CRC patients in the SEER registry (36,662 (14%) NHB; 226,271 (86%) NHW) and 24,375 VA patients (4,860 (20%) NHB; 19,515 (80%) NHW). In the SEER registry, NHB patients had worse OS than NHW patients: median OS of 57 months (95% confidence interval (CI) 55-58) versus 72 months (95% CI 71-73) (hazard ratio (HR) 1.14, 95% CI 1.12-1.15, p = 0.001). In contrast, VA NHB median OS was 65 months (95% CI 62-69) versus NHW 69 months (95% CI 97-71) (HR 1.02, 95% CI 0.98-1.07, p = 0.375). There was significant interaction in the SEER registry between race and Medicare age eligibility (p

BACKGROUND: Primary care physicians (PCP) play a key role in offering colorectal cancer (CRC) screenings, particularly amongst underserved populations. Given potential delays in or omission of CRC screening in the absence of a PCP, we aimed to determine stage of CRC at diagnosis in an underserved population. METHODS: A retrospective chart review was conducted at two Los Angeles County safety-net hospitals. Inclusion criteria were a CRC diagnosis between 2018 and 2021 and age between 50 and 75 years at diagnosis time. The primary outcome was the cancer stage at diagnosis. RESULTS: A total of 373 patients were included, of those, 52.5 % had a PCP. Compared to others, PCP was similar in age, racial composition, and primary spoken language (Table 1). Of patients with a PCP, 52.0% were diagnosed by screening. After screening, the most common indication for colonoscopy were blood per rectum (24.9 %) and imaging findings (18.0 %). Patients with a PCP had a significantly lower rate of late stage CRC than those without a PCP (42.4 % vs. 68.0 %, p

The discovery of growth factors and their involvement in cancer represents the foundation of precision oncology. The preclinical and clinical development of agents targeting epidermal growth factor receptor (EGFR) in colorectal cancer (CRC) were accompanied by big hype and hopes, though the clinical testing of such agents clashed with intrinsic and acquired resistance, greatly limiting their therapeutic value. However, a better understanding of the biology of the EGFR signaling pathway in CRC, coupled with the development of liquid biopsy methodologies to study cancer evolution in real time, fostered the clinical refinement of anti‐EGFR treatment in CRC. Such a workflow, based on the co‐evolution of biology knowledge and clinical development, allowed to couple the discovery of relevant therapy resistance mechanisms to the development of strategies to bypass this resistance. A broader application of this paradigm could prove successful and create an effective shortcut between the bench and the bedside for treatment strategies other than targeted therapy. [ABSTRACT FROM AUTHOR]

Background: Metastatic colorectal cancer (mCRC) poses a clinical challenge and requires a combination of systemic therapy and conversion surgery. Although first-line chemotherapy and targeted therapy are considered the standard treatments for mCRC, the role of primary tumor resection (PTR) in asymptomatic synchronous mCRC with unresectable metastatic lesion after initial therapy remains relatively underexplored. Materials: A retrospective review was conducted from January 2015 to January 2021, involving 74 patients with synchronous mCRC who received bevacizumab plus FOFIRI as first-line systemic therapy. All 74 patients had unresectable metastatic lesions confirmed through multidisciplinary team discussion. Patient characteristics, PTR data, and radiotherapy (RT) and overall survival (OS) outcomes were analyzed. The patients were categorized into a "PTR" group and a "No PTR" group and then further stratified into "4A," "4B," and "4C" subgroups based on the initial mCRC stage. Additionally, four subgroups—namely "PTR(+)/RT(+)," "PTR(+)/RT(−)," "PTR(−)/RT(+)," and "PTR(−)/RT(−)"—were formed to assess the combined effects of PTR and RT. Results: The median OS for all the patients was 23.8 months (20.5–27.1 months). The "PTR" group exhibited a significantly higher median OS of 25.9 months (21.3–30.5 months) compared with 21.4 months (15.8–27.1 months) in the "No PTR" group (p = 0.048). Subgroup analyses revealed a trend of improved survival with PTR in patients with stage IVA and IVB; however, the results were not statistically significant (p = 0.116 and 0.493, respectively). A subgroup analysis of PTR and RT combinations revealed no significant difference in median OS rates. Conclusion: For asymptomatic mCRC with synchronous unresectable distant metastasis, PTR following first-line therapy with bevacizumab plus FOLFIRI may provide a potential survival benefit, particularly in stage IVA/IVB patients compared with stage IVC patients. Additionally, RT for primary tumor did not provide an additional OS benefit in mCRC with unresectable metastasis. A prospective randomized trial with a larger sample size is essential to further elucidate the role of PTR in this context. [ABSTRACT FROM AUTHOR]

Objective: To develop and validate a prognostic model for patients with BRAF V600E-mutated colorectal cancer. Methods: The clinical and pathological information of 206 patients with BRAF V600E-mutated colorectal cancer diagnosed in Cancer Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College from 2014 to 2021 was retrospectively collected. Least absolute shrinkage and selection operator (LASSO) regression, Cox regression, and nomograms were used to develop clinical prognostic models. The differentiation was measured using Cstatistic, and the predicted variability was evaluated using the calibration curve. The prognostic model was externally validated using validation set data from 164 patients pooled from five studies. Results: Our clinical prognostic model included three variables: pathological stage, microsatellite status, and primary tumor site. In internal validation, the model had a concordant index of 0.785 (95% CI [0.732-0.839]) and a concordant index of 0.754 (95% CI [0.698-0.810]) using pathological staging. External validation confirmed the robustness of the model with a consistency index of 0.670 (95% CI [0.617-0.724]) and a consistency index of 0.584 (95% CI [0.546-0.622]) using pathological staging. Likelihood ratio test results show that our model is better (internal validation, p = 5.141e-03; external validation, p = 2.728e-05). The calibration graph drawn based on the prediction and the actual situation is close to the 45° diagonal. Conclusion: By adding microsatellite status and primary tumor site on the basis of pathological stage, we improved the discriminability and prediction accuracy of the model and successfully established a prognosis model for patients with BRAF V600E mutation of colorectal cancer. [ABSTRACT FROM AUTHOR]

Background: An increasing number of studies have turned their lens to the application of Artificial Intelligence (AI) in the diagnosis and treatment of colorectal cancer (CRC). Objective: To clarify and visualize the basic situation, research hotspots, and development trends of AI in the diagnosis and treatment of CRC, and provide clues for research in the future. Methods: On January 31, 2024, the Web of Science Core Collection (WoSCC) database was searched to screen and export the relevant research published during 2004-2023, and Cite Space, VoSviewer, Bibliometrix were used to visualize the number of publications, countries (regions), institutions, journals, authors, citations, keywords, etc. Results: A total of 2715 pieces of literature were included. The number of publications grew slowly until the end of 2016, but rapidly after 2017, till to the peak of 798 in 2023. A total of 92 countries, 3997 organizations, and 15,667 authors were involved in this research. Chinese scholars released the highest number of publications, and the U.S. contributed the highest number of total citations. As to authors, MORI, YUICHI had the highest number of publications, and WANG, PU had the highest number of total citations. According to the analysis of citations and keywords, the current research hotspots aremainly related to "Colonoscopy", "Polyp Segmentation", "Digital Pathology", "Radiomics", "prognosis". Conclusion: Research on the application of AI in the diagnosis and treatment of CRC has made significant progress and is flourishing across the world. Current research hotspots include AI-assisted early screening and diagnosis, pathology, and staging, and prognosis assessment, and future research is predicted to put weight on multimodal data fusion, personalized treatment, and drug development. [ABSTRACT FROM AUTHOR]

Background: Carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) are the predominant serum tumour markers (STMs) for predicting the prognosis of colorectal cancer (CRC). The objective of this research is to develop clinical prediction models based on preoperative and postoperative CEA and CA19-9 levels. Methods: 1,452 consecutive participants with stage I-III colorectal cancer were included. Kaplan-Meier method, log-rank test, and multivariate COX regression were used to evaluate the significance of preoperative and postoperative STMs. Patients were grouped into a discovery cohort (70%) and a validation cohort (30%). Variables for the nomograms were selected according to the Akaike information criterion (AIC). Subsequently, two clinical predictive models were constructed, evaluated, validated, and then compared with the AJCC 8th TNM stage. Results: The overall survival (OS) rate and disease-free survival(DFS) rate declined progressively as the number of positive tumour markers(NPTMs) before and after surgery increased. For both OS and DFS, age, sex, pN stage, and NPTMs before and after surgery were independent prognostic factors, and then clinical prediction models were developed. The Concordance index (C-index), Receiver operating characteristic (ROC) curve, calibration curve, Decision curve analysis (DCA), and risk score stratification all indicated that the models possessed robust predictive efficacy and clinical applicability. The Net reclassification index (NRI) and Integrated discrimination improvement (IDI) indicated that the performance of models was significantly superior to the TNM stage. Conclusion: Nomograms based on pre-and postoperative CEA and CA19-9 can accurately predict survival and recurrence for stage I-III CRC patients after radical surgery, and were significantly better than the AJCC 8th TNM stage. [ABSTRACT FROM AUTHOR]

The poor prognosis of relatively undifferentiated cancers has long been recognized, suggesting that selection against differentiation and in favor of uncontrolled growth is one of the most powerful drivers of cancer progression. Goblet cells provide the mucous surface of the gut, and when present in colorectal cancers (CRC), the cancers are called mucinous. We have used the presence of MUC2, the main mucous product of goblet cells, and an associated gene product, TFF3, to classify a large panel of nearly 80 CRC-derived cell lines into five categories based on their levels of MUC2 and TFF3 expression. We have then shown that these five patterns of expression can be easily identified in the direct analysis of tumor specimens allowing a much finer characterization of CRCs with respect to the presence of goblet cell differentiation. In particular, about 30% of all CRCs fall into the category of expressing TFF3 but not MUC2, which has not previously been acknowledged. Using the cell line data, we suggest that there are up to 12 genes (MUC2, TFF3, ATOH1, SPDEF, CDX1, CDX2, GATA6, HES1, ETS2, OLFM4, TOX3, and LGR5) that may be involved in selection against goblet cell differentiation in CRC by changes in methylation rather than mutations. Of these, LGR5, which is particularly associated with lack of goblet cell features, may function in the control of differentiation rather than direct control of cell growth, as has so far mostly been assumed. These results emphasize the importance of methylation changes in driving cancer progression [ABSTRACT FROM AUTHOR]

Background: Cancer and diabetes mellitus are quite common diseases found together worldwide. A considerable amount of evidence is available for the rapid development and presentation of various types of cancer in the type 2 diabetes mellitus (DM2) population as compared with the population without diabetes. The objective of the study is to formulate and evaluate 5-fluorouracil (5-FU) and metformin (MET) nanoparticles (NPs) and to establish the characteristic features of the biodegradable NPs. 5-FU and MET NPs with chitosan as a biodegradable polymer were formulated by the ionotropic cross-linking method. 0.25 gm of MET and 0.25 gm of 5-FU were dissolved in 100 ml of distilled water, and stock solution was prepared. 5 ml of stock solution was slowly mixed into the chitosan solution to obtain the mixture of drugs and chitosan. The tripolyphosphate reserve liquid was dripped slowly into the chitosan solution with constant stirring until the opaline appearance was noticed in the mixture, then filtered, and dried. The NPs were evaluated for their physical properties and drug release kinetics. Cell proliferation assay was done using human colorectal carcinoma cell line (HCT 116). Results: The formulation composed of 1.5 w/v of chitosan, 0.25 w/v of MET, and 5-FU had an average particle diameter of 198.7 nm. The polydispersity index was 0.757. Thermal and infrared spectroscopy results indicated the drugs and polymers selected for the formulation were unique without any identifiable interaction. The NPs were spherical in appearance, with numerous pours on the surface, which was evident when microscopically examined. Uniformity in drug release was observed, and the formulation demonstrated excellent release kinetics. HTC 116 cell line confirmed that the maximum percentage of cell death and minimum viability of cells were observed while using the combination of MET and 5-FU-NPs as compared to the pure MET or 5-FU alone. Conclusion: MET and 5-FU-loaded chitosan NPs were found to have excellent physiochemical properties, particle size, and drug release from the polymer in a controlled manner. Half-maximal inhibitory concentration value (IC50) of MET and 5-FU-NPs was found to be significantly less as compared to MET and 5-FU alone or the combination. [ABSTRACT FROM AUTHOR]

The interplay between gut microbiota and host is crucial for maintaining host health. When this balance is broken, various diseases can arise, including colorectal cancer (CRC). However, the mechanism by which gut microbiota and host interactions mediate CRC development remains unclear. Here, we found that Gasdermin D (GSDMD), an inflammasome effector responsible for forming membrane pores to mediate cell pyroptosis, was upregulated in both human and mouse intestinal tumor samples. GSDMD deficiency significantly suppressed intestinal tumor development in Apcmin/+ mice, a spontaneous CRC mouse model. Apcmin/+Gsdmd−/− mice exhibited reduced IL-1β release in the intestine, and the administration of recombinant mouse IL-1β partially restored intestinal tumor development in Apcmin/+Gsdmd−/− mice. Moreover, 16s rRNA sequencing showed a substantial increase in Lactobacillus abundance in the feces of Apcmin/+Gsdmd−/− mice compared to Apcmin/+ mice. Concurrently, Kynurenine (Kyn), a metabolite derived from host tryptophan (Trp) metabolism, was significantly decreased in the feces of Apcmin/+Gsdmd−/− mice, as shown by metabolite analysis. Additionally, Kyn levels were inversely correlated with Lactobacillus abundance. Furthermore, the administration of exogenous Kyn also promoted intestinal tumor development in Apcmin/+Gsdmd−/− mice. Thus, GSDMD promotes spontaneous CRC development through increasing IL-1β release and Kyn production. Our data suggest an association between GSDMD, gut microbiota, the host Trp/Kyn pathway, and CRC development. [ABSTRACT FROM AUTHOR]

Colorectal cancer (CRC) is influenced by perturbations in the colonic microbiota, characterized by an imbalance favoring pathogenic bacteria over beneficial ones. This dysbiosis contributes to CRC initiation and progression through mechanisms such as carcinogenic metabolite production, inflammation induction, DNA damage, and oncogenic signaling activation. Understanding the role of external factors in shaping the colonic microbiota is crucial for mitigating CRC progression. This study aims to elucidate the gut microbiome's role in CRC progression by analyzing paired tumor and mucosal tissue samples obtained from the colon walls of 17 patients. Through sequencing of the V3-V4 region of the 16S rRNA gene, we characterized the tumor microbiome and assessed its association with clinical variables. Our findings revealed a significant reduction in alpha diversity within tumor samples compared to paired colon biopsy samples, indicating a less diverse microbial environment within the tumor microenvironment. While both tissues exhibited dominance of similar bacterial phyla, their relative abundances varied, suggesting potential colon-specific effects. Fusobacteriota enrichment, notably in the right colon, may be linked to MLH1 deficiency. Taxonomy analysis identified diverse bacterial genera, with some primarily associated with the colon wall and others unique to this region. Conversely, several genera were exclusively expressed in tumor tissue. Functional biomarker analysis identified three key genes with differential abundance between tumor microenvironment and colon tissue, indicating distinct metabolic activities. Functional biomarker analysis revealed three key genes with differential abundance: K11076 (putrescine transport system) and K10535 (nitrification) were enriched in the tumor microenvironment, while K11329 (SasA-RpaAB circadian timing mediator) dominated colon tissue. Metabolic pathway analysis linked seven metabolic pathways to the microbiome. Collectively, these findings highlight significant gut microbiome alterations in CRC and strongly suggest that long-term dysbiosis profoundly impacts CRC progression. [ABSTRACT FROM AUTHOR]

Aim Method Results Conclusion Locally advanced and recurrent colorectal cancer represents a complex clinical entity, which requires multidisciplinary decision‐making and management. The aim of this work is to understand the provision of clinical services in this cohort of patients across Great Britain and Ireland (GB&I) as a key essential step to help facilitate future service development and improvement.A cross‐sectional, organizational survey was sent to all colorectal cancer multidisciplinary teams (MDTs) across GB&I. It consisted of 12 key questions addressing the provision of specialist services and advanced surgical techniques. Results are reported in line with the CHERRIES guideline.One hundred and seventy‐five MDTs across GB&I participated, with 142 English, 13 Welsh, 14 Scottish, 3 Northern Irish and 3 Irish MDTs. The overall response rate was 93.5% (175/187). Ninety (51.4%) hospital sites reported having a specialist dedicated or subsection MDT. Specialist advanced nursing support was available in 46 (26.2%) hospitals, with a dedicated advanced colorectal cancer outpatient clinic available in 31 (17.7%) hospitals. One hundred and thirteen MDTs (64.5%) offered surgery for advanced colonic cancer, 82 (46.8%) for recurrent colonic cancer, 58 (33.1%) for advanced rectal cancer and 39 (22.2%) for recurrent rectal cancer. A variable number of MDTs offered specialist surgical techniques, including distal sacrectomy [33 (18.9%)], high sacrectomy [16 (9.1%)], complex vascular resection ± reconstruction [33 (18.9%)] and extended lymphadenectomy (pelvic sidewall or para‐aortic) [44 (25.1%)].The IMPACT organizational survey highlights the current variation in the delivery and provision of clinical services for patients with advanced and recurrent colorectal cancer across Great Britain and Ireland. [ABSTRACT FROM AUTHOR]

Background Methods Results Conclusions Lynch syndrome (LS) is an autosomal‐dominant, hereditary cancer predisposition syndrome caused by pathogenic variants (PVs) in one of the mismatch‐repair genes MLH1, MSH2/EPCAM, MSH6, or PMS2. Individuals who have MLH1 PVs have high lifetime risks of colorectal cancer (CRC) and endometrial cancer (EC). There is controversy regarding whether a younger age at diagnosis (or anticipation) occurs in MLH1‐associated LS. The objective of this study was to assess anticipation in families with MLH1‐associated LS by using statistical models while controlling for potential confounders.Data from 31 families with MLH1 PVs were obtained from an academic registry. Wilcoxon signed‐rank tests on parent–child‐pairs as well as parametric Weibull and semiparametric Cox proportional hazards and Cox mixed‐effects models were used to calculate hazard ratios or to compare mean ages at CRC/EC diagnosis by generation. Models were also corrected for ascertainment bias and birth‐cohort effects.A trend toward younger ages at diagnosis of CRC/EC in successive generations, ranging from 3.2 to 15.7 years, was observed in MLH1 PV carrier families. A greater hazard for cancer in younger generations was not precluded by the inclusion of birth cohorts in the model. Individuals who had MLH1 variants with no Mlh1 activity were at a 78% greater hazard for CRC/EC than those who retained Mlh1 activity.The current results demonstrated evidence in support of anticipation in families with MLH1‐associated LS across all statistical models. Mutational effects on Mlh1 activity influenced the hazard for CRC/EC. Screening based on the youngest age of cancer diagnosis in MLH1‐LS families is recommended. [ABSTRACT FROM AUTHOR]

Despite numerous screening tools for colorectal cancer (CRC), 25 % of patients are diagnosed with advanced disease. Novel diagnostic technologies that are early, accurate, and rapid are imperative to assess the therapeutic efficacy of clinical drugs and identify new biomarkers of treatment response. Here Raman spectroscopy (RS) was used to track metabolic reprogramming in KRAS‐mutant HCT116 and SW837 cells, and KRAS wild‐type CC cells. RS combined with multivariate analysis methods distinguished nonresponsive, partially responsive, and responsive cells treated with cetuximab, a monoclonal antibody for EGFR inhibition, sotorasib, a clinically approved KRAS inhibitor, and various doses of trametinib, an inhibitor of the MAPK pathway. Cells treated with a combination of subtoxic doses of trametinib and BKM120, an inhibitor of the PI3K pathway, showed a synergistic response between the two pathways. Using a supervised machine learning regression model, we established a scoring methodology trained to a priori predict therapeutic response to new treatment combinations. RS metabolites were verified with mass spectrometry, and enrichment pathways were identified, including amino acid, purine, and nicotinate and nicotinamide metabolism that differentiated monotherapy from combination therapy. Our approach may ultimately be applicable to patient‐derived primary cells and cultures of patient tumors to predict effective drugs for individualized care. [ABSTRACT FROM AUTHOR]

Background: The third-line treatment for refractory colorectal cancer (CRC) has limited efficacy. This study aimed to evaluate the safety and efficacy of SHR-8068 (an anti-CTLA-4 antibody), combined with adebrelimab (an anti-PD-L1 antibody), and bevacizumab in refractory non-microsatellite instability-high (MSI-H) or proficient mismatch repair (pMMR) CRC. Method: This study is a prospective, open-label, single-center phase Ib/II clinical trial. Patients with pathologically confirmed pMMR/non-MSI-H metastatic colorectal adenocarcinoma who have failed =2 lines prior standard systemic treatments will be enrolled (n=36). The Ib phase will evaluate two dosing regimens of SHR-8068 in combination therapy (n=9 each dosage): SHR-8068 (1 mg per kilogram, every six weeks, intravenously) or SHR-8068 (4 mg per kilogram, every twelve weeks, intravenously) combined with adebrelimab (1200 mg, every three weeks, intravenously) and bevacizumab (7.5 mg per kilogram, every three weeks, intravenously). The efficacy and adverse events (AEs) of these regimens will be assessed to determine the recommended phase II dose (RP2D) of SHR-8068. Those of RP2D group from the phase Ib will be included in the phase II. The study will go to include 18 additional patients according to the onesample log-rank test design in the phase II. The primary endpoint of the Ib phase is safety, with secondary endpoints including the objective response rate (ORR), progression-free survival (PFS), overall survival (OS), disease control rate (DCR), and quality of life (QOL). The primary endpoint for phase II was PFS, with secondary endpoints including ORR, OS, DCR, safety, and QOL. Identifying biomarkers to predict the efficacy of this regimen is the exploratory study endpoint. Discussion: This proof-of-concept study would provide safety and efficacy signals of this novel combination treatment for the MSS CRCs in the late-line setting. And it may offer new insights on the clinical application of dual immunotherapy combined with anti-angiogenic therapy in the MSS CRC. [ABSTRACT FROM AUTHOR]

Incidence of young-onset colorectal cancer (YOCRC, younger than 50) has significantly increased worldwide. The performance of fecal immunochemical test in detecting YOCRC is unsatisfactory. Using routine clinical data, we aimed to develop machine learning (ML) models to identify individuals with high-risk YOCRC who require further colonoscopy. We retrospectively extracted data of 10,874 young individuals. Multiple supervised ML techniques were devised to distinguish individuals with and without CRC, classifiers were trained, internally validated and temporally validated. In internal validation cohort, Random Forest (RF) ML model demonstrated good performance with AUC of 0.859 and highest recall of 0.840. In temporal validation cohort, the RF ML model also exhibited good classification performance, achieving AUC of 0.888 and highest recall of 0.872. RF algorithm-based approach is effective and feasible in YOCRC risk stratification. This could be valuable in assessing the risk of YOCRC so that clinical management, including further colonoscopy, can be subsequently made. (Registration: This study was registered with ClinicalTrials.gov (NCT06342622) on March 15, 2024.). [ABSTRACT FROM AUTHOR]

Tumor immunotherapy has been widely used in clinical treatment of various cancers. However, some patients of these cancers do not respond to immunotherapy effectively. And H. pylori infection has been considered to be related to the efficacy of immunotherapy. This review aims to summarize the different effects and mechanisms of H. pylori infection on immunotherapy in different kinds of cancers. We searched the relevant literature on H. pylori and tumor immunotherapy, and summarized to form a review. Generally, H. pylori infection plays a role in affecting kinds of cancers' development, besides gastric cancer. Current evidence suggests that H. pylori infection may reduce the efficacy of immunotherapy for colorectal cancer, non-small cell lung cancer and melanoma, but due to the lack of sufficient evidence, more data is needed to prove that. While for gastric cancer, the effects remain controversial. The H. pylori regulation effects and metabolisms involved in systematic related cancers should be paid attention to. Whether H. pylori should be eradicated when immunotherapy performed may be a critical consideration for some kinds of tumors. [ABSTRACT FROM AUTHOR]

Background: Colorectal cancer (CRC) ranks as the third most prevalent malignant neoplasm in terms of both morbidity and mortality. Within the tumor microenvironment (TME) of CRC, the diminished presence and diminished cytotoxic function of natural killer (NK) cells serve as important factors driving the advancement of CRC; however, the precise regulatory mechanisms governing this phenomenon remain incompletely understood. Consequently, the identification of novel, potential anti-CRC targets associated with NK cells emerges as a pressing and paramount concern warranting immediate attention. Methods: We examined the regulatory mechanism of SMAD4-mediated NK cell cytotoxicity on CRC by utilizing various experimental techniques, such as qRTPCR, flow cytometry. Results: Our findings revealed that the expression of SMAD4 is decreased in NK cells within the TME of human CRC. Furthermore, we observed that enforced upregulation of SMAD4 resulted in enhanced cytotoxicity of NK cells towards CRC cells. Furthermore, our research has revealed that YTHDF2 functions as a downstream effector of SMAD4, playing a crucial role in the control of transcription and translation of m6A-modified RNA. Moreover, our investigation demonstrated that increased expression of SMAD4 promoted the activating receptor NKG2D by elevating levels of YTHDF2. Ultimately, the SMAD4- YTHDF2 regulatory axis significantly enhanced the cytotoxicity of NK cells against human CRC cells. Conclusion: Our study unveils a novel mechanism through which SMAD4 modulates the cytotoxicity of NK cells towards CRC cells, suggesting that SMAD4 may hold promise as a potential therapeutic target for NK cell therapy in CRC. [ABSTRACT FROM AUTHOR]

Background: Colorectal cancer is the third most prevalent cancer across the globe. Despite a diversity of treatment methods, the recurrence and mortality rates of the disease remain high. Recent studies have revealed a close association of the gut microbiota with the occurrence, development, treatment response, and prognosis of colorectal cancer. Objective: This study aims to integrate transcriptome and microbiome data to identify colorectal cancer subtypes associated with different gut microbiota and evaluate their roles in patient survival prognosis, tumor microenvironment (TME), and drug treatment response. Methods: An integrated analysis of microbiome data was conducted on samples of colorectal cancer from public databases. Based on this, two tumor subtypes (C1 and C2) closely associated with patient survival prognosis were identified and a risk score model was constructed. The survival status, clinical parameters, immune scores, and other features were analyzed in-depth, and the sensitivity of various potential drugs was examined. Results: A thorough examination of microbiome information obtained from colorectal cancer patients led to the identification of two primary tumor clusters (C1 and C2), exhibiting notable variations in survival outcomes. Patients with the C1 subtype were closely associated with better prognosis, while those with the C2 subtype had higher gut microbial richness and poorer survival prognosis. A predictive model utilizing the microbiome data was developed to accurately forecast the survival outcome of patients with colorectal cancer. The TME scores provided a biological basis for risk assessment in high-risk (similar to the C2 subtype) patient cohorts. Evaluation of the sensitivity of different subtypes to various potential drugs, indicated the critical importance of personalized treatment. Further analysis showed good potential of the developed risk-scoring model in predicting immune checkpoint functions and treatment response of patients, which may be crucial in guiding the selection of immunotherapy strategies for patients with colorectal cancer. Conclusion: This study, through a comprehensive analysis of colorectal cancer microbiome, immune microenvironment, and drug sensitivity, enhances the current understanding of the multidimensional interactions of colorectal cancer and provides important clinical indications for improving future treatment strategies. The findings offer a new perspective on improving treatment response and long-term prognosis of patients with CRC through the regulation of microbiota or the utilization of biomarkers provided by it. [ABSTRACT FROM AUTHOR]

Background: The liver is a frequent location of metastatic disease in various malignant tumor entities. Computed tomography (CT) is the most frequently employed modality for initial diagnosis. However, liver metastases may only be delineated vaguely on CT. Calculating radiomics features in feature maps can unravel textures not visible to the human eye on a standard CT reconstruction (SCTR). This study aimed to investigate the comparative diagnostic accuracy of radiomics feature maps and SCTR for liver metastases. Materials and methods: Forty-seven patients with hepatic metastatic colorectal cancer were retrospectively enrolled. Whole-liver maps of original radiomics features were generated. A representative feature was selected for each feature class based on the visualization of example lesions from five patients. These maps and the conventional CT image data were viewed and evaluated by four readers in terms of liver parenchyma, number of lesions, visual contrast of lesions and diagnostic confidence. T-tests and chi²-tests were performed with a significance cut off of p<0.05 to compare the feature maps with SCRT, and the data were visualized as boxplots. Results: Regarding the number of lesions detected, SCTR showed superior performance compared to radiomics maps. However, the feature map for firstorder RootMeanSquared was ranked superior in terms of very high visual contrast in 57.4% of cases, compared to 41.0% in standard reconstructions (p < 0.001). All other radiomics maps ranked significantly lower in visual contrast when compared to SCTR. For diagnostic confidence, firstorder RootMeanSquared reached very high ratings in 47.9% of cases, compared to 62.8% for SCTR (p < 0.001). The conventional CT images showed superior results in all categories for the other features investigated. Conclusion: The application of firstorder RootMeanSquared feature maps may help visualize faintly demarcated liver lesions by increasing visual contrast. However, reading of SCTR remains necessary for diagnostic confidence. [ABSTRACT FROM AUTHOR]

Purpose: Developing innovative precision and personalized cancer therapeutics is essential to enhance cancer survivability, particularly for prevalent cancer types such as colorectal cancer. This study aims to demonstrate various approaches for discovering new targets for precision therapies using artificial intelligence (AI) on a Polish cohort of colorectal cancer patients. Methods: We analyzed 71 patients with histopathologically confirmed advanced resectional colorectal adenocarcinoma. Whole exome sequencing was performed on tumor and peripheral blood samples, while RNA sequencing (RNAseq) was conducted on tumor samples. We employed three approaches to identify potential targets for personalized and precision therapies. First, using our in-house neoantigen calling pipeline, ARDentify, combined with an AI-based model trained on immunopeptidomics mass spectrometry data (ARDisplay), we identified neoepitopes in the cohort. Second, based on recurrent mutations found in our patient cohort, we selected corresponding cancer cell lines and utilized knock-out gene dependency scores to identify synthetic lethality genes. Third, an AI-based model trained on cancer cell line data was employed to identify cell lines with genomic profiles similar to selected patients. Copy number variants and recurrent single nucleotide variants in these cell lines, along with gene dependency data, were used to find personalized synthetic lethality pairs. Results: We identified approximately 8,700 unique neoepitopes, but none were shared by more than two patients, indicating limited potential for shared neoantigenic targets across our cohort. Additionally, we identified three synthetic lethality pairs: the well-known APC-CTNNB1 and BRAF-DUSP4 pairs, along with the recently described APC-TCF7L2 pair, which could be significant for patients with APC and BRAF variants. Furthermore, by leveraging the identification of similar cancer cell lines, we uncovered a potential gene pair, VPS4A and VPS4B, with therapeutic implications. Conclusion: Our study highlights three distinct approaches for identifying potential therapeutic targets in cancer patients. Each approach yielded valuable insights into our cohort, underscoring the relevance and utility of these methodologies in the development of precision and personalized cancer therapies. Importantly, we developed a novel AI model that aligns tumors with representative cell lines using RNAseq and methylation data. This model enables us to identify cell lines closely resembling patient tumors, facilitating accurate selection of models needed for in vitro validation. [ABSTRACT FROM AUTHOR]

AbstractGlucose is an important energy source for tumors, however the molecular mechanisms by which tumor cells regulate glucose uptake remain unclear. In this study, we aimed to investigate the regulation mechanism of the WNT7B/β-catenin pathway for glucose transporter 1 (GLUT1)-mediated glucose metabolism in colorectal cancer. Here, we found that WNT7B expression levels were significantly increased in colorectal cancer tissues and closely associated with the clinical stage and lymph node metastasis in patients with colorectal cancer. Next, we confirmed that WNT7B significantly increased the glucose consumption and lactic acid levels in SW480 cells by overexpressing WNT7B. Additionally, gene and protein levels of GLUT1 were increased in WNT7B-overexpressing SW480 cells. However, WNT7B knockdown reversed these effects. WNT7B also enhanced GLUT1-mediated cell proliferation, invasion, and migration. WNT7B overexpression inhibited the effect of glucose deprivation on apoptosis. The WNT/β-catenin signaling pathway inhibitor, LGK974, inhibited WNT7B secretion, leading to GLUT1 levels downregulation and promotion of cell apoptosis. Ectopic tumor xenograft model experiments revealed that WNT7B promoted tumor progression in mice. Overall, our results suggest that WNT7B promotes β-catenin entry into the nucleus to initiates GLUT1 transcription, increases glucose transport and consumption, and enhances aerobic glycolysis, thus promoting tumor progression in colorectal cancer cells. [ABSTRACT FROM AUTHOR]

Background: Mounting evidence suggests a significant role of the gut microbiota in the development and progression of colorectal cancer (CRC). In particular, an over-representation of oral pathogens has been linked to CRC. The aim of this study was to further investigate the faecal microbial landscape of CRC patients, with a focus on the oral pathogens Parvimonas micra and Fusobacterium nucleatum. Methods: In this study, 16S rRNA sequencing was conducted using faecal samples from CRC patients (n = 275) and controls without pathological findings (n = 95). Results: We discovered a significant difference in microbial composition depending on tumour location and microsatellite instability (MSI) status, with P. micra, F. nucleatum, and Peptostreptococcus stomatis found to be more abundant in patients with MSI tumours. Moreover, P. micra and F. nucleatum were associated with a cluster of CRC-related bacteria including Bacteroides fragilis as well as with other oral pathogens such as P. stomatis and various Porphyromonas species. This cluster was distinctly different in the control group, suggesting its potential linkage with CRC. Conclusions: Our results suggest a similar distribution of several CRC-associated bacteria within CRC patients, underscoring the importance of considering the concomitant presence of bacterial species in studies investigating the mechanisms of CRC development and progression. [ABSTRACT FROM AUTHOR]

Background: Programmed cell death protein 1 (PD-1) blockade is essential in treating progressive colorectal cancer (CRC). However, some patients with CRC do not respond well to immunotherapy, possibly due to the exhaustion of CD8+ T cells in the tumor microenvironment. N-Acetylcysteine (NAC) can reduce CD8+ T cell exhaustion in vitro and induce their differentiation into long-lasting phenotypes, thus enhancing the anti-tumor effect of adoptive T cell transfer. However, whether NAC can be combined with PD-1 blockade in CRC treatment and how NAC regulates CD8+ T cell differentiation remain unclear. Hence, in this study, we aimed to investigate whether NAC has a synergistic effect with PD-1 blockers against CRC progression. Methods: We constructed a mouse CRC model to study the effect of NAC on tumors. The effect of NAC on CD8 + T cell differentiation and its potential mechanism were explored using cell flow assay and other studies in vitro and ex vivo. Results: We demonstrated that NAC synergized PD-1 antibodies to inhibit CRC progression in a mouse CRC model mediated by CD8+ T cells. We further found that NAC can induce TCF1+PD1+CD8+ T cell differentiation and reduce the formation of exhausted T cells in vitro and in vivo. Moreover, NAC enhanced the expression of Glut4 in CD8+ T cells, promoting the differentiation of TCF1+PD1+CD8+ T cells. Conclusions: Our study provides a novel idea for immunotherapy for clinically progressive CRC and suggests that Glut4 may be a new immunometabolic molecular target for regulating CD8+ T cell differentiation. [ABSTRACT FROM AUTHOR]

Proteasome inhibition emerges as a promising strategy for cancer prevention. PNO1, pivotal for colorectal cancer (CRC) progression, is involved in proteasome assembly in Saccharomyces cerevisiae. Hence, we aimed to explore the role of PNO1 in proteasome assembly and its up- and down-streams in CRC. Here, we demonstrated that PNO1 knockdown suppressed CRC cells growth, proteasome activities and assembly, as well as CDKN1B/p27Kip1 (p27) degradation. Moreover, p27 knockdown partially attenuated the inhibition of HCT116 cells growth by PNO1 knockdown. The up-stream studies of PNO1 identified miR-326 as a candidate miRNA directly targeting to CDS-region of PNO1 and its overexpression significantly down-regulated PNO1 protein expression, resulting in suppression of cell growth, decrease of proteasome activities and assembly, as well as increasing the stability of p27 in CRC cells. These findings indicated that miR-326 overexpression can suppress CRC cell growth, acting as an endogenous proteasome inhibitor by targeting PNO1. [ABSTRACT FROM AUTHOR]

Colorectal cancer (CRC) ranks among the most prevalent malignancies worldwide, driving a quest for comprehensive characterization methods. We report a characterization of the ex vivo autofluorescence lifetime fingerprint of colorectal tissues obtained from 73 patients that underwent surgical resection. We specifically target the autofluorescence characteristics of collagens, reduced nicotine adenine (phosphate) dinucleotide (NAD(P)H), and flavins employing a fiber-based dual excitation (375 nm and 445 nm) optical imaging system. Autofluorescence-derived parameters obtained from normal tissues, adenomatous lesions, and adenocarcinomas were analyzed considering the underlying clinicopathological features. Our results indicate that differences between tissues are primarily driven by collagen and flavins autofluorescence parameters. We also report changes in the autofluorescence parameters associated with NAD(P)H that we tentatively attribute to intratumoral heterogeneity, potentially associated to the presence of distinct metabolic subpopulations. Changes in autofluorescence signatures of malignant tumors were also observed with lymphatic and venous invasion, differentiation grade, and microsatellite instability. Finally, we characterized the impact of radiative treatment in the autofluorescence fingerprints of rectal tissues and observed a generalized increase in the mean lifetime of radiated adenocarcinomas, which is suggestive of altered metabolism and structural remodeling. Overall, our preliminary findings indicate that multiparametric autofluorescence lifetime measurements have the potential to significantly enhance clinical decision-making in CRC, spanning from initial diagnosis to ongoing management. We believe that our results will provide a foundational framework for future investigations to further understand and combat CRC exploiting autofluorescence measurements. [ABSTRACT FROM AUTHOR]

Globally, CRC ranks as a principal cause of mortality, with projections indicating a substantial rise in both incidence and mortality by the year 2040. The immunological responses to cancer heavily rely on the function of CD4Tconv. Despite this critical role, prognostic studies on CRC-related CD4Tconv remain insufficient. In this investigation, transcriptomic and clinical data were sourced from TCGA and GEO. Initially, we pinpointed CD4TGs using single-cell datasets. Prognostic genes were then isolated through univariate Cox regression analysis. Building upon this, 101 machine learning algorithms were employed to devise a novel risk assessment framework, which underwent rigorous validation using Kaplan-Meier survival analysis, univariate and multivariate Cox regression, time-dependent ROC curves, nomograms, and calibration plots. Furthermore, GSEA facilitated the examination of these genes' potential roles. The RS derived from this model was also analyzed for its implications in the TME, and its potential utility in immunotherapy and chemotherapy contexts. A novel prognostic model was developed, utilizing eight CD4TGs that are significantly linked to the outcomes of patients with CRC. This model's RS showcased remarkable predictive reliability for the overall survival rates of CRC patients and strongly correlated with malignancy levels. RS serves as an autonomous prognostic indicator, capable of accurately forecasting patient prognoses. Based on the median value of RS, patients were categorized into subgroups of high and low risk. The subgroup with higher risk demonstrated increased immune infiltration and heightened activity of genes associated with immunity. This investigation's establishment of a CD4TGs risk model introduces novel biomarkers for the clinical evaluation of CRC risks. These biomarkers may enhance therapeutic approaches and, in turn, elevate the clinical outcomes for patients with CRC by facilitating an integrated treatment strategy. [ABSTRACT FROM AUTHOR]

The expression and biological function of junctional adhesion molecule-like protein (JAML) in colorectal cancer (CRC) remain unclear. Paraffin tissue samples from 50 cases of CRC were collected to determine the expression of JAML. JAML was overexpressed or knock-down in CRC cells to evaluated the proliferation, migration and invasion in vitro and in vivo. Western-blot and others were applied to explore the mechanisms. The study showed that JAML was highly expressed within cancer tissues in 50% (25/50) of patients with CRC, and was correlated with higher TNM stage (p < 0.05). Patients of JAML-high group had poorer overall survival compared to JAML-low group (p = 0.0362, HR = 0.4295, 95% CI of 0.1908–0.9667). The tumour infiltrating lymphocytes (TILs) was lower in the JAML-high group than in the JAML-low group (p < 0.05). Overexpression of JAML promoted the proliferation, migration, and invasion of CRC by activating the PI3K-AKT-mTOR signalling pathway both in vitro and in vivo. TILs were reduced in JAML-high tumour tissues by decreasing chemokines such as CCL20 and CXCL9/10/11. Our study identified JAML, a potentially ideal target that is specifically highly expressed in CRC tissues, which promoted tumour proliferation, impaired T-lymphocytes infiltration, provided a promising therapeutic strategy for patients with CRC. [ABSTRACT FROM AUTHOR]

Studies have shown that the cachexia index (CXI) is a useful predictor of cachexia in patients with colorectal cancer. However, the application of the CXI is limited stemming from the intricacy and additional cost of radiographic examinations. This study aimed to develop an easy-to-use and practical CXI based on fat-free mass index (FFMI-CXI) to evaluate the prognostic value of FFMI-CXI in CRC. A total of 656 patients with CRC were enrolled in the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) study. The FFMI-CXI was calculated as [FFMI (kg)/height (m)2 × serum albumin (g/L)]/neutrophil-lymphocyte ratio. The cutoff value for FFMI-CXI was determined through the analysis of ROC curves and Youden's index for both male and female cohorts. Kaplan–Meier survival curves with log-rank tests were conducted to compare time–event relationships between different groups. Cox proportional hazards regression models incorporating both univariate and multivariate variables were employed to explore the independent prognostic factors associated with OS. Logistic regression analysis was performed to assess the association of the FFMI-CXI with secondary outcomes. The major outcome was 5-year overall survival (OS). Based on the cutoff values, 331 patients had low FFMI-CXI, and 325 patients had high FFMI-CXI. Patients in the low FFMI-CXI subgroup were significantly older and had advanced TNM stage, malnutrition, high systemic inflammation, long hospitalizations, high hospitalization costs, adverse short-term outcomes, and all-cause mortality. Multivariate Cox regression analyses revealed that FFMI-CXI (HR 0.47, 95% CI 0.33–0.66; p < 0.001) and TNM stage (HR 3.38, 95% CI 2.63–4.35; p < 0.001) were independently associated with OS in CRC patients. K-M survival curves revealed that the CRC patients with a high FFMI-CXI had significantly more favorable OS than those with low FFMI-CXI (62.84% vs. 84.31%; log-rank p < 0.001). Furthermore, the FFMI-CXI was valuable for predicting 90-day outcomes, malnutrition, cancer cachexia, length of hospitalization, and hospitalization expenses. This study revealed that the FFMI-CXI can be used as a prognostic indicator in patients with CRC. Patients with low FFMI-CXI should receive more attention. [ABSTRACT FROM AUTHOR]

Background: Colorectal cancer is a public health issue and was the third leading cause of cancer-related death worldwide in 2022. Early diagnosis can improve prognosis, making screening a central part of colorectal cancer management. Blood-based screening, diagnosis and follow-up of colorectal cancer patients are possible with the study of cell-free circulating tumor DNA. This study aimed to identify novel DNA methylation biomarkers of colorectal cancer that can be used for the follow-up of patients with colorectal cancer. Methods: A DNA methylation profile was established in the Gene Expression Omnibus (GEO) database (n = 507) using bioinformatics analysis and subsequently confirmed using The Cancer Genome Atlas (TCGA) database (n = 348). The in silico profile was then validated on local tissue and cell-free DNA samples using methylation-specific digital PCR in colorectal cancer patients (n = 35) and healthy donors (n = 35). Results: The DNA methylation of COL25A1 and METAP1D was predicted to be a colorectal cancer biomarker by bioinformatics analysis (ROC AUC = 1, 95% CI [0.999–1]). The two biomarkers were confirmed with tissue samples, and the combination of COL25A1 and METAP1D yielded 49% sensitivity and 100% specificity for cell-free DNA. Conclusion: Bioinformatics analysis of public databases revealed COL25A1 and METAP1D DNA methylation as clinically applicable liquid biopsies DNA methylation biomarkers. The specificity implies an excellent positive predictive value for follow-up, and the high sensitivity and relative noninvasiveness of a blood-based test make these biomarkers compatible with colorectal cancer screening. However, the clinical impact of these biomarkers in colorectal cancer screening and follow-up needs to be established in further prospective studies. [ABSTRACT FROM AUTHOR]

Aim: Postoperative gastrointestinal dysfunction (POGD) is a common complication following colorectal surgery. This study aimed to investigate the incidence and risk factors of POGD after minimally invasive surgery and to assess the relationship between robotic surgery, POGD, and their outcomes. Method: Patients who had undergone minimally invasive colorectal surgery at our institution between July 2018 and November 2023 were retrospectively enrolled. POGD was diagnosed based on the presence of two or more intestinal symptoms within 72 h or more after surgery. Risk factors were identified through regression analyses, and the impact of POGD on outcomes was assessed using linear regression.The association between those factors was assessed using subgroup analysis and hierarchical regression. Results: A total of 226 patients were included in the analysis, including 33 with POGD. POGD occurred in 14.6% of patients, with a lower incidence in robotic surgery (7.3%) than in laparoscopic surgery (19.8%). Multivariate analysis indicated that robotic surgery had a protective effect, while blood loss exceeding 50 ml was an independent risk factor for POGD. POGD was also correlated with longer length of stays and higher costs. The association between POGD, length of stay, and cost varied depending on the surgical platform. Robotic surgery exacerbated the effect of POGD on short-term outcomes, which aligned with the observed significant interaction effect. Conclusion: POGD remains a prevalent postoperative disease. Preventive strategies, including meticulous hemostasis techniques and robotic surgery, should be prioritized by healthcare professionals to reduce POGD risk, improve short-term outcomes, and preserve healthcare resources. [ABSTRACT FROM AUTHOR]

ABSTRACT Background Aim Methods Results Conclusions Trial Registration Non‐invasive biomarkers may reduce post‐colonoscopy colorectal cancer (CRC) rates and colonoscopy overuse in Lynch syndrome. Unlike faecal immunochemical test (FIT), faecal volatile organic compounds (VOCs) may accurately detect both advanced and non‐advanced colorectal neoplasia.The aim of this study was to evaluate the potential of faecal VOCs—separately and with FIT—to guide optimal colonoscopy intervals in Lynch syndrome.Prospective longitudinal multicentre study in which individuals with Lynch syndrome collected faeces before and after high‐quality surveillance colonoscopy. VOC‐patterns were analysed using field asymmetric ion mobility spectrometry (FAIMS) and gas chromatography‐ion mobility spectrometry (GC‐IMS) followed by machine learning pipelines, and combined with FIT at 2.55 μg Hb/g faeces. Gas chromatography time‐of‐flight mass spectrometry analysed individual VOC abundance.Among 200 included individuals (57% female, median 51 years), 62 had relevant neoplasia at colonoscopy: 3 CRC, 6 advanced adenoma (AA), 3 advanced serrated lesion (ASL), and 50 non‐advanced adenoma (NAA). Respective sensitivity and negative predictive value for CRC and AA (and also ASL in case of FAIMS) were 100% and 100% using FAIMS (54% specificity), and 89% and 99% using GC‐IMS (58% specificity). Respective sensitivity and specificity for any relevant neoplasia were 88% and 44% (FAIMS) and 84% and 28% (GC‐IMS); accuracy did not significantly improve upon VOC‐FIT. VOC‐patterns differed before and after polypectomy (AUC 0.70). NAA showed decreased faecal abundance of butanal, 2‐oxohexane, dimethyldisulphide and dimethyltrisulphide.In Lynch syndrome, faecal VOCs may be a promising strategy for postponing colonoscopy and for follow‐up after polypectomy. Our results serve as a stepping stone for large validation studies.NL8749 [ABSTRACT FROM AUTHOR]

AbstractBackgroundMethodResultsConclusionsThe objective of this study was to assess the application value of SOMATOM Force computed tomography (CT) in assisting the preoperative localization of colorectal cancer resection surgery.Retrospectively, the medical data of 120 inpatients with colorectal cancer were collected. The Kappa consistency test was used to evaluate diagnostic consistency in the localization and staging of colorectal cancer. The diagnostic value of preoperative SOMATOM Force CT detection was analyzed.In 120 colorectal cancer patients, the accuracy of SOMATOM Force CT for preoperative localization, T staging, and N staging of colorectal cancer were 91.7% (kappa = 0.837), 88.3% (kappa = 0.772) and 91.7% (kappa = 0.773), respectively. Among 45 rectum cancer patients, there were 19 positive cases with circumferential resection margin involvement, and the accuracy of SOMATOM Force CT detection was 86.7% (kappa = 0.767). The sensitivity, specificity, positive predictive value, and negative predictive value of SOMATOM Force CT detection in evaluating the circumferential resection margin involvement of rectum cancer were 78.95%, 96.15%, 93.75%, and 86.21%, respectively.There was an important application value of SOMATOM Force CT in assisting the preoperative localization and tumor staging of colorectal cancer resection surgery. There was a good diagnostic value of preoperative SOMATOM Force CT detection in evaluating the circumferential resection margin involvement of rectum cancer. [ABSTRACT FROM AUTHOR]

Introduction: Cetuximab, used to treat head and neck squamous cell carcinoma and metastatic colorectal cancer, can cause severe infusion reactions. Case presentation: We report an 87-year-old East Asian woman with stage IV ileocecal signet ring cell carcinoma who experienced severe allergic reactions to cetuximab despite pre-treatment. A dose escalation method, involving weekly incremental doses with comprehensive pre-treatment and close monitoring, was employed, successfully reducing allergic reactions and allowing safe administration. Conclusion: This approach demonstrates a viable alternative for patients with hypersensitivity to cetuximab, warranting further research for personalized treatment optimization. [ABSTRACT FROM AUTHOR]

Accumulation of acylcarnitines is a characteristic feature of various metabolic disorders affecting fatty acid metabolism. Despite extensive research, no specific molecules have been identified to induce ferroptosis through the regulation of acylcarnitine metabolism. In this study, acylcarnitine accumulation was identified based on cell metabolomics study after the treatment with Stemona alkaloid derivative (SA-11), which was proved to induce ferroptosis in our previous research. Furthermore, the CPT-1 level was proved to significantly increase, while the CPT-2 level indicated no significant difference, which resulted in the accumulation of acylcarnitine. Besides, the ferroptosis-inducing ability of SA-11 was significantly enhanced by the addition of exogenous acylcarnitine, presumably due to the production of additional ROS. This hypothesis was corroborated by the observation of increased ROS levels in HCT-116 cells treated with SA-11 compared to the control group. These findings suggest that targeting acylcarnitine metabolism, particularly through CPT-1, may offer a novel therapeutic strategy for cancer treatment by enhancing ferroptosis induction. [ABSTRACT FROM AUTHOR]

Aims: To better understand the role of sodium channel beta subunit (SCNN1B) in the initiation and progression of colorectal cancer (CRC) and to identify potential biomarkers for the early detection and prognosis of CRC. Methods: A total of 74 pairs of CRC tissues and their adjacent normal tissues were collected between October 2016 and November 2017. The methylation levels of the SCNN1B promoter region in CRC tissues and their adjacent normal tissues were investigated by pyrosequencing. The expression of both SCNN1B mRNA and protein were detected by RT‒qPCR and immunohistochemistry, respectively. Results: The results showed that the methylation levels of the SCNN1B promoter region were significantly higher in CRC tissues than in adjacent normal tissues. The expression levels of SCNN1B mRNA and protein were significantly lower in the CRC tissues than in their adjacent normal tissues. Moreover, Pearson's correlation analysis showed that the methylation levels of the SCNN1B promoter were negatively correlated with the SCNN1B mRNA levels in CRC tissues. In addition, the high methylation levels and low mRNA expression of SCNN1B showed a significant association with advanced tumour stage, increased risk of lymph node metastasis and poor prognosis of CRC patients. Conclusion: This study suggested that the decreased expression of SCNN1B due to its promoter hypermethylation may play an important role in the progression and prognosis of CRC, and the methylation levels of the SCNN1B promoter may serve as an effective molecular marker for predicting the progression and prognosis of CRC. [ABSTRACT FROM AUTHOR]

\nHIGLIGHTSThe imbalance of gut microbiota can significantly exacerbate or even directly contribute to the development of colorectal cancer (CRC). Modulating the gut microbiota through dietary interventions, such as supplementation with probiotics, prebiotics, synbiotics, and postbiotics presents a promising strategy to enhance treatment efficacy and mitigate the adverse effects of CRC therapies. This review outlines the significant potential of dietary interventions (supplementation with probiotics, prebiotics, synbiotics, and postbiotics) in preventing or ameliorating CRC by modulating the gut microbiota. On the one hand, this review illustrates the intricate relationship between the gut microbiota and CRC, as well as the carcinogenic mechanisms mediated by these microbial communities. On the other hand, the application prospects and strengths, weaknesses, opportunities, and threats (SWOT) analyses of dietary interventions in preventing CRC are reviewed in detail. In conclusion, this review provides new preventive and mitigative strategies for improving the safety and efficiency of CRC therapy/prevention through dietary interventions. It also expands the use of probiotics, prebiotics, synbiotics, or postbiotics in dietary nutritional interventions. Gut microbiota dysbiosis is one of the important causes of colorectal cancer (CRC).Dietary interventions are highly associated with the modulation of gut microbiota.Probiotics, prebiotics, synbiotics, and postbiotics can prevent/ameliorate CRC.The use of dietary interventions to prevent/mitigate CRC has both pros and cons.Gut microbiota dysbiosis is one of the important causes of colorectal cancer (CRC).Dietary interventions are highly associated with the modulation of gut microbiota.Probiotics, prebiotics, synbiotics, and postbiotics can prevent/ameliorate CRC.The use of dietary interventions to prevent/mitigate CRC has both pros and cons. [ABSTRACT FROM AUTHOR]