Diagnosis Of Colorectal Cancer Research Articles

The dysregulation and clinical relevance of lncRNAs MYOSLID and SFTA1P in colorectal cancer patients.

Colorectal cancer (CRC) is a very common cancer worldwide. CRC is characterized by some changes in the expression of oncogenic and tumor suppressor genes. These changes are associated with dysregulation of non-coding RNAs, including long non-coding RNAs (lncRNAs). LncRNAs are heterogeneous non-coding molecules without open reading frames. LncRNAs have been established as regulators in the development of CRC and clinical biomarkers for the CRC detection. In this project, we investigated the expression changes of two new lncRNAs named SFTA1P and MYOSLID in CRC patients. 30 samples of CRC tissue and 30 samples of normal tissue adjacent to the cancer tissue were obtained from patients. RNA extraction from tissue samples was performed using RNAX plus. ExcelRT™ Reverse Transcription Kit (SymBio, Korea) was used for cDNA synthesis. RealQ Plus 2x Master Mix Green Without ROX™ was used to perform a quantitative PCR (qPCR). REST, and SPSS software were used for statistical analysis. Our result demonstrated that lncRNAs MYOSLID and SFTA1P were significantly up-regulated in tumor tissues compared to healthy tissues with a fold change of 13.43 and 5.33 (P < 0.05) respectively. Based on the analysis of ROC curve, MYOSLID (AUC = 0.946, P < 0.0001, SE =0.0035) and SFTA1P (AUC = 0.800, P < 0.0001, SE = 0.059) were indicated as potential clinical hallmarks for CRC patients. According to the results obtained from this research, lncRNAs SFTA1P and MYOSLID can be suggested as molecular biomarkers for the CRC diagnosis.

MiR-1226-5p is involved in radioresistance of colorectal cancer by activating M2 macrophages through suppressing IRF1

BackgroundAlthough the representative treatment for colorectal cancer (CRC) is radiotherapy, cancer cells survive due to inherent radioresistance or resistance acquired after radiation treatment, accelerating tumor malignancy and causing local recurrence and metastasis. However, the detailed mechanisms of malignancy induced after radiotherapy are not well understood. To develop more effective and improved radiotherapy and diagnostic methods, it is necessary to clearly identify the mechanisms of radioresistance and discover related biomarkers.MethodsTo analyze the expression pattern of miRNAs in radioresistant CRC, sequence analysis was performed in radioresistant HCT116 cells using Gene Expression Omnibus, and then miR-1226-5p, which had the highest expression in resistant cells compared to parental cells, was selected. To confirm the effect of miR-1226-5 on tumorigenicity, Western blot, qRT-PCR, transwell migration, and invasion assays were performed to confirm the expression of EMT factors, cell mobility and invasiveness. Additionally, the tumorigenic ability of miR-1226-5p was confirmed in organoids derived from colorectal cancer patients. In CRC cells, IRF1, a target gene of miR-1226-5p, and circSLC43A1, which acts as a sponge for miR-1226-5p, were discovered and the mechanism was analyzed by confirming the tumorigenic phenotype. To analyze the effect of tumor-derived miR-1226-5p on macrophages, the expression of M2 marker in co-cultured cells and CRC patient tissues were confirmed by qRT-PCR and immunohistochemical (IHC) staining analyses.ResultsThis study found that overexpressed miR-1226-5p in radioresistant CRC dramatically promoted epithelial-mesenchymal transition (EMT), migration, invasion, and tumor growth by suppressing the expression of its target gene, IRF1. Additionally, we discovered circSLC43A1, a factor that acts as a sponge for miR-1226-5p and suppresses its expression, and verified that EMT, migration, invasion, and tumor growth are suppressed by circSLC43A1 in radioresistant CRC cells. Resistant CRC cells-derived miR-1226-5p was transferred to macrophages and contributed to tumorigenicity by inducing M2 polarization and secretion of TGF-β.ConclusionsThis study showed that the circSLC43A1/miR-1226-5p/IRF1 axis is involved in radioresistance and cancer aggressiveness in CRC. It was suggested that the discovered signaling factors could be used as potential biomarkers for diagnosis and treatment of radioresistant CRC.

MiR-3065-5p and miR-26a-5p as Clinical Biomarkers in Colorectal Cancer: A Translational Study.

Background/Objectives: The prognosis of colorectal cancer (CRC) is mainly based on the clinical stage; however, CRC is considered a complex disease due to its molecular heterogeneity. The development of novel biomarkers to improve patients' diagnosis and prognosis remains fundamental. Methods: A cohort of forty-nine CRC patients from the National Cancer Institute of Mexico was included to collect clinical and miRNA expression data. The expression of a group of miRNAs was compared between CRC and non-tumoral adjacent tissues. Prognosis assessment considering each miRNA expression was tested using Kaplan-Meier survival curves and Cox regressions. Statistical significance was defined as p ≤ 0.05. Trial registration: Retrospective study No.2021/046. Results: miR-3065-5p and miR-26a-5p expression differed between non-tumoral adjacent and tumoral tissues (p = 0.02). In terms of overall survival (OS), patients with low expression of miR-3065-5p had a median OS of 70 months, while patients with high levels did not reach the median OS (p = 0.041). Male patients with low expression of this miRNA had an OS of 70 months, whereas patients with high levels did not reach the median OS (p = 0.050). Under uni-multivariate analysis, clinical stage (HR: 1.30, CI 1.23-2.30; p: 0.001) and low levels of miR-3065-5p (HR: 1.30, CI 1.23-2.30; p: 0.001) were determined as predictor factors of OS. To this end, we designed the "Prognosis miRNAs assessment in cancer" (PROMIR-C) algorithm, which integrated clinical features with miR-3065-5p expression levels. Conclusions: These findings support the clinical utility of miR-26a-5p and miR-3065-5p in the diagnosis and prognosis of CRC. PROMIR-C is a fundamental tool for clinicians in treatment decision-making, prognosis assessment, and outcome of CRC.

Diagnostic pathways and outcomes by comorbidity in cancer patients: a study in Northern Italy

Abstract Background Pre-existing chronic conditions can influence cancer diagnosis and outcomes. The study aimed to examine variations in diagnostic pathways and outcomes in colorectal cancer (CRC) patients by comorbidity status and socio-demographic characteristics in the provinces of Milan and Lodi, Northern Italy. Methods A population-based cohort study using linked administrative health data from the Agency for Health Protection (ATS) of Milan was conducted on individuals aged ≥18 years diagnosed with CRC in 2014-2017. We examined pathways to cancer diagnosis, stage at diagnosis and short-term mortality by specific comorbidities and sociodemographic factors. Results Among the 5,272 colon cancer and 2,120 rectal cancer patients, 43.9% and 61.5%, respectively, had at least one pre-existing comorbidity, most frequently hypertension (52.7% and 49.9%) and cardiovascular disease (CVD, 23.2% and 18.5%). Cancer diagnostic pathways included screening (4.1% colon and 4.4% rectal cancer patients), EP (22.8% and 12.6%) and inpatient/outpatient admission (73.1% and 82.9%). At multivariable logistic regression, patients with pre-existing cerebrovascular or neurological diseases had significantly higher odds of EP for CRC. In the multinomial logistic regression analysis, the odds of EP were significantly higher for patients aged &amp;lt;50 or ≥ 80 (vs 60-69), belonging to the highest deprivation group and being widowed (vs married). The odds of screen-detected CRC were lower for patients with multimorbidity (2 vs 0 comorbidities: adjusted OR = 0.32, 95% CI 0.14-0.75). 30-day and one-year mortality were higher in colon cancer patients with EP vs inpatient/outpatient (aOR=2.46, 95%CI 1.95-3.09; aOR=2.02, 95%CI 1.74-2.35 respectively). As the number of chronic conditions increased, mortality increased especially at one year. One-year mortality was also higher for rectal cancer patients with 3+ comorbidities (vs no comorbidities). Key messages • Patients with pre-existing chronic conditions had a lower likelihood of screening, higher odds of emergency CRC diagnosis and higher mortality. EPs occur in one in five CRC patients. • Tailored interventions might be needed to facilitate CRC screening, reducing emergency diagnoses and improving health outcomes for the large number of patients with chronic conditions.

Colon polyp detection based on multi-scale and multi-level feature fusion and lightweight convolutional neural network

Early diagnosis and treatment of colorectal polyps are crucial for preventing colorectal cancer. This paper proposes a lightweight convolutional neural network for the automatic detection and auxiliary diagnosis of colorectal polyps. Initially, a 53-layer convolutional backbone network is used, incorporating a spatial pyramid pooling module to achieve feature extraction with different receptive field sizes. Subsequently, a feature pyramid network is employed to perform cross-scale fusion of feature maps from the backbone network. A spatial attention module is utilized to enhance the perception of polyp image boundaries and details. Further, a positional pattern attention module is used to automatically mine and integrate key features across different levels of feature maps, achieving rapid, efficient, and accurate automatic detection of colorectal polyps. The proposed model is evaluated on a clinical dataset, achieving an accuracy of 0.9982, recall of 0.9988, F1 score of 0.9984, and mean average precision (mAP) of 0.9953 at an intersection over union (IOU) threshold of 0.5, with a frame rate of 74 frames per second and a parameter count of 9.08 M. Compared to existing mainstream methods, the proposed method is lightweight, has low operating configuration requirements, high detection speed, and high accuracy, making it a feasible technical method and important tool for the early detection and diagnosis of colorectal cancer.

Risk factors for suicide in patients with colorectal cancer: A Surveillance, Epidemiology, and End Results database analysis

BackgroundSpecific risk factors for suicide in patients with colorectal cancer have not been well established. Therefore, we aimed to assess factors associated with increased risk of suicide among patients with colorectal cancer. MethodsThis was a retrospective cohort analysis of consecutive patients with colorectal cancer. Patients who survived were compared with patients for whom suicide was registered as their cause of death. Data were extracted from the National Cancer Institute's Surveillance, Epidemiology, and End Results Research Database 2000–2020. Primary outcome was risk factors for suicide. ResultsIn total, 309,561 patients were included in the analysis; 160,095 (51.7%) were male. Suicide was the cause of death in 1,052 (0.34%). The suicide rate among patients with colorectal cancer decreased over time from 1% between 2000 and 2010 to 0.05% between 2011 and 2020 (P < .001). Male sex (odds ratio, 6.44; P < .001), non-Hispanic ethnicity (odds ratio, 2.84; P = .014), household income between $50,000 and $74,999 (odds ratio, 1.79; P = .008) or <$50,000 (odds ratio, 1.84; P = .030), and metastatic disease (odds ratio, 2.89; P = .001) were independent risk factors for suicide. Colorectal cancer diagnosis in the second half of the study (2011–2020) was associated with lower risk of suicide compared with the first half (odds ratio, 0.338; P < .001). ConclusionAmong patients with colorectal cancer, male patients of non-Hispanic ethnicity and income <$75,000 USD who presented with metastatic disease were at increased risk of suicide. This trend decreased in the last decade, especially compared with the suicide rate among all patients with cancer. On the basis of these findings, we recommend targeted screening of this group of patients with colorectal cancer for suicidality as part of routine oncologic care.

Differentially Expressed Somatostatin (SST) and Its Receptors (SST1-5) in Sporadic Colorectal Cancer and Normal Colorectal Mucosa.

Colorectal cancer (CRC) is one of the most common human malignancies worldwide. The somatotropin-releasing inhibitory factor/somatostatin (SRIF/SST) acts through activation of five membrane receptors (SSTRs, SST1-5). The diagnostic and prognostic role of these peptides in sporadic CRC remains unclear. This study aimed to determine the role of tissue expression of SST and all SSTRs in the pathogenesis, diagnosis, and prognosis of sporadic CRC. The expression of SST and all SSTRs was assessed in the tissues of CRC patients, control colorectal mucosa and lymph node metastasis from the same patients using real-time quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC). Decreased SST (mRNA and peptide) and higher SST2 and SST5 (mRNA and peptide) expression in CRC vs. control was noted. A negative correlation between SST mRNA expression and patient's age in CRC and control groups were observed. IHC study confirmed the coexpression of SSTRs in all tissue groups and significant dependence on the cellular localization. Immunoexpression of SST2 and SST3 showed the most correlations with clinicopathological data in CRC patients. Interestingly, only control tissue showed differences in SST1-5 expression depending on the colon segment. Reduced SST expression in CRC indicates a weakening in its antitumor effect in this cancer in vivo. Overexpression of SST2 and SST5 in CRC suggests that these receptors play an important role in the pathogenesis of this cancer. Analysis of SST1-5 tissue expression allows for differentiation between the mucinous and nonmucinous CRC subtypes. The coexpression of all SST1-5 and overexpression of not only SST2 and SST5 in CRC may have applications for future therapy based on the SRIF system in sporadic CRC.

Motivating smoking cessation among patients with cancers not perceived as smoking-related: a targeted intervention.

Smoking after cancer impairs cancer treatment outcomes and prognosis, regardless of cancer type. Prior data suggest that patients with cancers other than lung or head/neck cancer had lower cessation motivation, which in turn predicted lower smoking abstinence. This study evaluated feasibility for a future efficacy trial and assessed the acceptability of brief self-help materials, targeted by cancer type, to enhance cessation motivation. Patients had a diagnosis of skin melanoma, breast, bladder, colorectal, or gynecological cancers within ≤ 6months, smoked ≥ 1 cigarette in the past month, and were not currently participating in a cessation program. After completing a baseline assessment, participants received the booklet corresponding to their cancer type. Follow-ups were conducted 1week and 1month post-intervention. Among 118 patients potentially eligible, 109 were successfully contacted and 53 patients were eligible and all consented. Among consenting patients, 92.5% completed baseline, and 90.6% received the intervention. Among patients receiving the intervention, 91.7% completed all study procedures and follow-up. At 1month, 87.5% reported reading the booklet and 92.8% rated it as good/excellent. Motivation to quit smoking increased over time among those with lower motivation at baseline, 33.3% sought smoking cessation assistance, and 25.0% were smoke-free 1month post-intervention. This study demonstrated the feasibility and acceptability of the first intervention developed for patients with cancers not typically associated with smoking. This low-cost and easy to disseminate intervention has potential to increase motivation to quit smoking among patients with cancers not typically perceived as smoking-related.

Highlighted Diffusion Model as Plug-in Priors for Polyp Segmentation.

Automated polyp segmentation from colonoscopy images is crucial for colorectal cancer diagnosis. The accuracy of such segmentation, however, is challenged by two main factors. First, the variability in polyps' size, shape, and color, coupled with the scarcity of well-annotated data due to the need for specialized manual annotation, hampers the efficacy of existing deep learning methods. Second, concealed polyps often blend with adjacent intestinal tissues, leading to poor contrast that challenges segmentation models. Recently, diffusion models have been explored and adapted for polyp segmentation tasks. However, the significant domain gap between RGB-colonoscopy images and grayscale segmentation masks, along with the low efficiency of the diffusion generation process, hinders the practical implementation of these models. To mitigate these challenges, we introduce the Highlighted Diffusion Model Plus (HDM+), a two-stage polyp segmentation framework. This framework incorporates the Highlighted Diffusion Model (HDM) to provide explicit semantic guidance, thereby enhancing segmentation accuracy. In the initial stage, the HDM is trained using highlighted ground-truth data, which emphasizes polyp regions while suppressing the background in the images. This approach reduces the domain gap by focusing on the image itself rather than on the segmentation mask. In the subsequent second stage, we employ the highlighted features from the trained HDM's U-Net model as plug-in priors for polyp segmentation, rather than generating highlighted images, thereby increasing efficiency. Extensive experiments conducted on six polyp segmentation benchmarks demonstrate the effectiveness of our approach.

Interventions to improve timely cancer diagnosis: an integrative review.

Cancer will affect more than one in three U.S. residents in their lifetime, and although the diagnosis will be made efficiently in most of these cases, roughly one in five patients will experience a delayed or missed diagnosis. In this integrative review, we focus on missed opportunities in the diagnosis of breast, lung, and colorectal cancer in the ambulatory care environment. From a review of 493 publications, we summarize the current evidence regarding the contributing factors to missed or delayed cancer diagnosis in ambulatory care, as well as evidence to support possible strategies for intervention. Cancer diagnoses are made afterfollow-up of a positive screening test or an incidental finding, or most commonly, by following up and clarifying non-specific initial presentations to primary care. Breakdowns and delays are unacceptably common in each of these pathways, representing failures to follow-up on abnormal test results, incidental findings, non-specific symptoms, or consults. Interventions aimed at 'closing the loop' represent an opportunity to improve the timeliness of cancer diagnosis and reduce the harm from diagnostic errors. Improving patient engagement, using 'safety netting,' and taking advantage of the functionality offered through health information technology are all viable options to address these problems.

Decoding the Methylation Patterns of ABC Transporters in Colorectal Cancer

Colorectal cancer (CRC) is a significant global health concern, posing a major threat to morbidity and mortality rates. The molecular mechanisms that drive CRC, particularly the DNA methylation patterns in ATP-binding cassette (ABC) genes, have attracted considerable attention because of their potential roles in CRC drug resistance, initiation, and progression. This study aimed to investigate the methylation patterns of ABC genes in CRC using a high-throughput microarray technology. Microarray methylation data from CRC and adjacent normal tissues were subjected to preprocessing, differential methylation analysis, and correlation analysis using the MethSurv tool for a detailed study of methylation patterns. The study revealed global hypomethylation of 43 ABC transporters and two pseudogenes in CRC compared to normal tissues. Receiver operating characteristic curve analysis identified 369 CpG sites as potential biomarkers for CRC diagnosis, with area under the curve values ranging from acceptable to outstanding. Survival analysis demonstrated the correlation between DNA methylation of individual CpG sites and patient survival probability in colon and rectal adenocarcinoma datasets from The Cancer Genome Atlas. The study provides insights into the epigenetic landscape of ABC genes in CRC, highlighting their potential roles in drug resistance, disease initiation, and progression. The findings offer opportunities for developing innovative therapeutic approaches and improving patient outcomes in the fight against CRC. Further research is needed to validate these results and investigate the functional implications of ABC gene methylation in CRC pathogenesis and treatment response.

Effect of elevated CEA levels on the outcome of colorectal cancer patients with different histopathologic types: A SEER population-based study.

Limited and contradictory evidence has been reported regarding the prognostic effects of carcinoembryonic antigen (CEA) on the prognosis and metastasis of classical adenocarcinoma (CA), mucinous adenocarcinoma (MA), and signet-ring cell carcinoma (SRCC) in colorectal cancer patients. We investigated the associations between histological subtypes and preoperative serum CEA levels in determining the oncologic outcomes of colorectal cancer (CRC) patients. A total of 47,692 patients with clearly diagnosed CRC were selected from the Surveillance, Epidemiology, and End Results (SEER) database and divided into two cohorts based on serum CEA levels: CEA-normal (C0) and CEA-elevated (C1). Chi-square analysis revealed a correlation between CEA levels and histological classification. We then included a newly defined interaction variable (H&CEA) in the Cox regression analysis, which demonstrated that this variable could serve as an independent prognostic factor (P<0.001). CA, in the context of elevated serum CEA levels, differed from the other two histopathological types, showing unexpectedly higher risks for both OS (HR = 1.70, 95% CI = 1.65-1.75, P<0.001) and CSS (HR = 1.78, 95% CI = 1.72-1.85, P<0.001). Furthermore, elevated CEA levels significantly increased the proportion of liver metastases in the CA group (25.43% vs. 3.95%, P<0.001). The interaction variable H&CEA can be used as an independent prognostic factor for CRC and should be considered in the diagnosis of CRC and the development of personalized treatment plans. Additionally, in the context of elevated CEA levels, CA is associated with poor prognosis and increased liver metastases. This CRC subgroup warrants special clinical attention from oncologists.

Photothermal Fe3O4 nanoparticles induced immunogenic ferroptosis for synergistic colorectal cancer therapy

Photothermal therapy (PTT) is a promising non-invasive treatment that has shown great potential in eliminating tumors. It not only induces apoptosis of cancer cells but also triggers immunogenic cell death (ICD) which could activate the immune system against cancer. However, the immunosuppressive tumor microenvironment (TIME) poses a challenge to triggering strong immune responses with a single treatment, thus limiting the therapeutic effect of cancer immunotherapy. In this study, dual-targeted nano delivery system (GOx@FeNPs) combined with αPD-L1 immune checkpoint blocker could inhibit colorectal cancer (CRC) progression by mediating PTT, ferroptosis and anti-tumor immune response. Briefly, specific tumor delivery was achieved by the cyclic arginine glycyl aspartate (cRGD) peptide and anisamide (AA) in GOx@FeNPs which not only had a good photothermal effect to realize PTT and induce ICD, but also could deplete glutathione (GSH) and catalyze the production of reactive oxygen species (ROS) from endogenous H2O2. All these accelerated the Fenton reaction and augmented the process of PTT-induced ICD. Thus, a large amount of tumor specific antigen was released to stimulate the maturation of dendritic cells (DCs) in lymph nodes and enhance the infiltration of CD8+ T cells in tumor. At the same time, the combination with αPD-L1 has favorable synergistic effectiveness against CRC with tumor inhibition rate over 90%. Furthermore, GOx@FeNPs had good magnetic resonance imaging (MRI) capability under T2-weighting owing to the presence of Fe3+, which is favorable for integrated diagnosis and treatment systems of CRC. By constructing a dual-targeted GOx@FeNPs nanoplatform, PTT synergistically combined with ferroptosis was realized to improve the immunotherapeutic effect, providing a new approach for CRC immunotherapy.

Advances in microRNAs as Emerging Biomarkers for Colorectal Cancer Early Detection and Diagnosis.

Colorectal cancer (CRC) remains the second most common cause of cancer-related mortality worldwide, necessitating advancements in early detection and innovative treatment strategies. MicroRNAs (miRNAs), small non-coding RNAs involved in gene regulation, have emerged as crucial players in the pathogenesis of CRC. This review synthesizes the latest findings on miRNA deregulated in precancerous lesions and in CRC. By examining the deregulation patterns of miRNAs across different stages of CRC development, this review highlights their potential as diagnostic tools. We specifically analyse the roles and diagnostic relevance of four miRNAs-miR-15b, miR-21, miR-31, and miR-146a-that consistently exhibit altered expression in CRC. The current knowledge of their role in key oncogenic pathways, drug resistance, and clinical relevance is discussed. Despite challenges posed by the heterogeneity of the research findings on miRNA deregulation and their role in CRC, integrating miRNA diagnostics into current screening methods holds promise for enhancing personalized medicine approaches. This review emphasizes the transformative potential of miRNAs in CRC diagnosis, paving the way for improved patient outcomes and novel therapeutic paradigms.

CLASSIFICATION OF COLORECTAL CANCER PATIENTS BASED ON SERUM MICRONUTRIENTS: AN EXPLORATORY INVESTIGATION

Abstract Introduction/Objective Colorectal cancer (CRC) is a growing global health challenge with a multifactorial etiology encompassing genetic susceptibility, nutrition, and inflammation in the bowel. To examine micronutrient status in CRC patients undergoing CRC resection. Methods/Case Report We performed a pilot case-control study including 13 consecutive CRC patients and 10 healthy controls (CTRL) comparing the serum levels of 29 micronutrients, namely Copper, Zinc, Selenium, Chromium, Manganese, Carnitine, Choline, Inositol, Methylmalonic acid (MMA), Vitamin (Vit) B1, Vit B2, Vit B3, Vit B5, Vit B6, Vit C, Vit A, Vit D3, Vit E, Vit K1, Vit K2 and the amino acids Serine, Valine, Leucine, Isoleucine, Asparagine, Glutamine, Arginine, Citrulline and Cysteine. The analysis of trace metals (copper, zinc, selenium, chromium, manganese) in serum was done using the Inductively coupled plasma mass spectrometry (ICP-MS) methodology using the Agilent 8900 QQQ instrument. The analysis of serum water-soluble and fat-soluble vitamins and amino acids was conducted using the LC/MS (Xevo-TQ-XS) mass spectrometer (WBA0127). Elution of the fat-soluble vitamins was performed using a solid-phase extraction system with an OASIS Prime HLB plate containing 10 mg of sorbent per well, in a Waters vacuum manifold equipped with a waste collection plate. Comparison among continuous biological variables was carried out by multivariate ANOVA model (MANOVA), accounting for the effect of sex and age Results (if a Case Study enter NA) After considering the effect of age and sex, copper, arginine, and cysteine were increased, while zinc, selenium, chromium, Vit B1, Vit K1, and Vit A were decreased in CRC patients in comparison with CTRL. Zinc levels perfectly predicted the diagnosis of CRC, and was associated with lymph nodes (pN), of the pTNM staging. Copper levels in serum was strongly associated with the pathological pTNM staging of CRC. Conclusion Though this is a preliminary study which needs confirmation with a larger longitudinal cohort, our results show that serum micronutrients are linked to tumor growth, likely caused by increased demand from tumor tissue associated with an aberrant cell proliferation and changes in the antioxidant function.

Molecular Tumor Testing on Colorectal Adenocarcinoma Specimens in a Large Community-Based Healthcare System.

This study aimed to describe the adherence of National Comprehensive Cancer Network guidelines to perform genetic screening for all colorectal cancer (CRC) specimens with molecular tumor testing, eg, immunohistochemical (IHC) testing, in a large community-based healthcare setting. The study also identified trends involving characteristics of CRC, individual reporting physician, and physician location and examined the potential impact of these trends on the performance of molecular tumor testing. This was a retrospective, multi-center study using a centralized pathology database to assess molecular testing on CRC specimens. The primary endpoint was whether tumor testing of a CRC specimen was performed. Secondary endpoints included tumor location within the colon (ie, the right or left side), year of CRC diagnosis, and location of the pathologist within the Advocate Aurora Health (AAH) system. The data were collected from 2016 to 2020. A total of 2469 CRC cases, reviewed by 47 pathologists practicing in five separate hospitals, were identified within the AAH system for the selected five-year time period. IHC testing was performed in 1666 of these specimens (67.5%). There was no statistical difference between CRC sidedness and IHC testing performed (p = 0.9). There were no discernible features or trends for the ordering of IHC testing among different pathologists. Molecular tumor testing for CRC specimens in this large community-based healthcare setting was inconsistent and below the ideal adherence rate of 100%. Secondary findings offered neither explanation nor trends in likelihood to send samples for IHC testing. Education would be beneficial for pathologists and all physicians who care for patients with CRC in community-based health care settings.

Expression Profiles of Integrin-Linked Kinase, Vascular Endothelial Growth Factor A, and Ephrin Type-A Receptor 2 in Colorectal Cancer Lymph Nodes.

Background Colorectal cancer (CRC) is the third most frequently diagnosed cancer globally, with a high incidence of morbidity and mortality. Early diagnosis of CRC is crucial for determining appropriate treatment regimens, thereby prolonging overall survival rates and improving prognostic outcomes. Objectives This study aimed to investigate the expression profiles of specific proteins in the lymph nodes (LNs) of CRC patients, including integrin-linked kinase (ILK), vascular endothelial growth factor A (VEGFA), and ephrin type-A receptor 2 (EphA2), through immunohistochemical studies. Methods The study involved a sample of 76 patients clinically diagnosed with CRC who were referred by their specialist oncologist. Tumor staging was determined based on the TNM classification. Immunohistochemical studies were conducted to measure the expression patterns of the candidate markers (ILK, EphA2, and VEGFA). Expression levels were scored as negative, low, or high. Results The highest percentage of CRC patients were diagnosed with conventional adenocarcinoma, predominantly in stages II and III. Of the 76 CRC tissue specimens, the majority (46, 60.52%) tested negative for lymphatic invasion, while the remaining 30 (39.47%) tested positive. According to the TNM classification, 14 samples had N1 (one invaded LN), and 16 had N2 (two or more invaded LNs). Furthermore, the percentage of patients with low and high EphA2 expression was significantly higher (p<0.0001) compared to the negative expression controls. Regarding ILK, 15 cases (50.0%) showed negative expression, while an equal number displayed positive expression. Additionally, the group with low VEGFA expression was statistically significantly higher (p=0.01) compared to the negative control. Conclusion The expression levels of EphA2, ILK, and VEGFA were found to be higher in LNs with lymphatic invasion compared to those with negative expression, highlighting the role of these proteins in CRC progression.

Single-Cell Transcriptomics Reveals Cellular Heterogeneity and Drivers in Serrated Pathway-Driven Colorectal Cancer Progression

Serrated lesions are common precancerous pathways in colorectal cancer (CRC), but the process by which they progress to malignancy remains unclear. We aimed to elucidate this progression through a single-cell RNA landscape. We conducted single-cell RNA sequencing on three normal colonic tissues and fifteen SLs (including HPs, SSLs, SSLD, and TSAs) and integrated these data with datasets containing tumor samples. We identified three invasive malignant epithelial cell subtypes related to CRC progression: SLC1, SLC2, and tumor cell. SLC1, specific to SSLs, is involved in cell proliferation and shows a continuum of malignancy in gene expression. TSA-specific SLC2 exhibited FOXQ1 upregulation and active EMT, indicating invasiveness. The trajectory analysis showed that HPs do not progress to cancer, and different SL types are linked to the MSI status of advanced CRCs. We validated molecular drivers in premalignant lesions and later carcinogenesis. In the tumor microenvironment, CAF and pre-CAF fibroblast subtypes associated with progression were identified. During the premalignant stage, SLC1 triggered CD8+ T cell responses, while at the advanced stage, CAFs promoted tumor invasion and metastasis via FN1-CD44, influencing tumor progression and the treatment response. Our findings highlight transcriptional changes across serrated pathway stages, aiding in early CRC diagnosis and treatment.

The prognostic role of circulating tumour DNA detected prior to clinical diagnosis of colorectal cancer in the HUNT study

BackgroundToday, the prognostic tools available at the time of diagnosis in colorectal cancer (CRC) are limited. Better prognostic tools are a prerequisite for personalised treatment.This study aimed to investigate whether circulating tumour DNA (ctDNA) markers found in plasma before clinical diagnosis of CRC could contribute to the prediction of poor prognosis.MethodsThis observational cohort study included patients diagnosed with CRC stage I-III within 24 months following participation in the Trøndelag Health Study (n = 85). Known methylated ctDNA biomarkers of CRC were analysed by PCR in plasma. Outcomes were overall survival (OS), recurrence-free survival (RFS) and poor prognosis (PP). Candidate clinical and methylated ctDNA predictors of the outcomes were identified by Cox regression analyses.ResultsMethylated GRIA4 (HR 1.96 (1.06–3.63)), RARB (HR 9.48 (3.00–30.00)), SLC8A1 (HR 1.97 (1.03–3.77)), VIM (HR 2.95 (1.22–7.14)) and WNT5A (HR 5.83 (2.33–14.56)) were independent predictors of OS, methylated RARB (HR 9.67 (2.54–36.81)), SDC2 (HR 3.38 (1.07–10.66)), SLC8A1 (HR 2.93 (1.01–8.51)) and WNT5A (HR 6.95 (1.81–26.68)) were independent predictors of RFS and methylated RARB (HR 6.11 (1.69–22.18)), SDC2 (HR 2.79 (1.20–6.49)) and WNT5A (HR 5.57 (3.04–15.26)) were independent predictors of PP (p < 0.05).ConclusionsPrediagnostic ctDNA markers are promising contributors to predicting poor prognosis in CRC, potentially becoming one of the tools guiding more personalised treatment.

Proteomic analysis of plasma exosomes in patients with metastatic colorectal cancer

BackgroundThe diagnosis and treatment of colorectal cancer (CRC), especially metastatic colorectal cancer (mCRC), is a major priority and research challenge. We screened for expression differences in the plasma exosomal proteomes of patients with mCRC, those with CRC, and healthy controls (HCs) to discover potential biomarkers for mCRC.MethodsPlasma samples from five patients with mCRC, five patients with CRC, and five HCs were collected and processed to isolate exosomes by ultracentrifugation. Exosomal protein concentrations were determined using the BCA kit, and liquid chromatography-mass spectrometry was utilized to identify and analyze the proteins.ResultsFrom the exosomes isolated from plasma samples, a total of 994 quantifiable proteins were detected, including 287 differentially expressed proteins identified by quantitative proteomics analyses. Totals of 965, 963 and 968 proteins were identified in mCRC patients, CRC patients, and HCs, respectively. The study identified 83 proteins with differential expression in the plasma exosomes of mCRC patients. The top 10 upregulated proteins in the mCRC group and CRC groups were ITGA4, GNAI1, SFTPA2, UGGT1, GRN, LBP, SMIM1, BMP1, HMGN5, and MFAP4, while the top 10 downregulated proteins were PSMB8, LCK, RAB35, PSMB4, CD81, CD63, GLIPR2, RAP1B, RAB30, and CES1. Western Blot validation data confirmed that ITGA4 and GNAI1 were unequivocally enriched in plasma-derived exosomes from mCRC patients.ConclusionsThese differential proteins offer potential new candidate molecules for further research on the pathogenesis of mCRC and the identification of therapeutic targets. This study sheds light on the potential significance of plasma exosome proteomics studies in our understanding and treatment of mCRC.