scholarly journals Identification and assessment of new biomarkers for colorectal cancer with serum N-glycan profiling

Cancer ◽  
2011 ◽  
Vol 118 (3) ◽  
pp. 639-650 ◽  
Author(s):  
Yun-Peng Zhao ◽  
Can-Ping Ruan ◽  
Hao Wang ◽  
Zhi-Qian Hu ◽  
Meng Fang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Glycan Profiling ◽  
New Biomarkers

Volatile organic compounds as new biomarkers for colorectal cancer: a review

2016 ◽  
Vol 18 (7) ◽  
pp. 654-663 ◽  
Author(s):  
M. Di Lena ◽  
F. Porcelli ◽  
D. F. Altomare
Keyword(s):  
Colorectal Cancer ◽  
Volatile Organic Compounds ◽  
Organic Compounds ◽  
Volatile Organic ◽  
New Biomarkers

scholarly journals Identification of Hub Genes Related to Liver Metastasis of Colorectal Cancer by Integrative Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Sicheng Liu ◽  
Yaguang Zhang ◽  
Su Zhang ◽  
Lei Qiu ◽  
Bo Zhang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Liver Metastasis ◽  
Expression Profiles ◽  
Interaction Network ◽  
Rank Aggregation ◽  
Marker Genes ◽  
Peroxisome Proliferator ◽  
Hub Genes ◽  
Peroxisome Proliferator Activated Receptor ◽  
New Biomarkers

Liver metastasis of colorectal cancer (LMCRC) severely damages patient health, causing poor prognosis and tumor relapse. Marker genes associated with LMCRC identified by previous study did not meet therapeutic demand. Therefore, it is necessary to identify new biomarkers regulating the metastasis network and screen potential drugs for future treatment. Here, we identified that cell adhesion molecules and peroxisome proliferator-activated receptor (PPAR) signaling pathway were significantly enriched by analyzing the integrated-multiple expression profiles. Moreover, analysis with robust rank aggregation approach revealed a total of 138 differentially expressed genes (DEGs), including 108 upexpressed and 30 downexpressed genes. With establishing protein–protein interaction network, we also identified the subnetwork significantly enriching the metastasis-associated hub genes including ALB, APOE, CDH2, and ORM1. ESR2, FOXO3, and SRY were determined as key transcription factors regulating hub genes. In addition, ADH-1, epigallocatechin, CHEMBL1945287, and cochinchinenin C were predicted as potential therapeutic drugs. Moreover, the antimigration capacity of ADH-1 and epigallocatechin were confirmed in CRC cell lines. In conclusion, our findings not only offer opportunities to understand metastasis mechanism but also identify potential therapeutic targets for CRC.

MicroRNA in biofluids—Robust biomarkers for disease, toxicology, or injury studies: The case of minimally invasive colorectal cancer detection.

2012 ◽  
Vol 30 (30_suppl) ◽  
pp. 20-20
Author(s):  
Peter Mouritzen ◽  
Søren Jensby Nielsen ◽  
Maria Wrang Teilum ◽  
Thorarinn Blondal ◽  
Ditte Andreasen ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Early Detection ◽  
Biomarker Discovery ◽  
Expression Profiles ◽  
Minimal Invasive ◽  
Reference Ranges ◽  
Disease States ◽  
A Genome ◽  
New Biomarkers ◽  
Clinical Source

20 Background: MicroRNAs function as post-transcriptional regulators of gene expression. Their high relative stability in common clinical source materials (FFPE blocks, plasma, serum, urine, saliva, etc.) and the ability of microRNA expression profiles to accurately classify discrete tissue types and specific disease states have positioned microRNAs as promising new biomarkers for diagnostic application. Furthermore microRNAs have been shown to be rapidly released from tissues into the circulation with the development of pathology. Methods: Thousands of biofluid samples were profiled including blood derived plasma/serum and urine using a genome-wide LNA-based microRNA qPCR platform, which has unparalleled sensitivity and robustness even in biofluids with extremely low microRNA levels. Only a single RT reaction is required to conduct full miRNome profiling thereby facilitating high-throughput profiling without the need for pre-amplification. Results: Normal reference ranges for circulating microRNAs were determined in several biofluids, allowing development of qPCR arrays containing only relevant microRNA subsets present in various biofluids together with tissue specific microRNA markers. Procedures were developed to control pre-analytical variables, for quality checking and qualifying biofluid samples in particular serum and plasma but also urine and other biofluids. An extensive QC system was implemented in order to secure technical excellence and reveal any unwanted bias in the dataset. We currently screen and validate microRNAs biomarkers for cancer with the aim of developing minimal invasive tests to be applied in early detection population screens. Conclusions: The qPCR panels support development of robust biomarkers in disease, toxicology, and injury studies. We will demonstrate how panels may be quickly and robustly applied in biomarker discovery/validation projects using the specific case early detection of colorectal cancer in blood. Close attention is required on pre-analytical parameters. Hemolysis and cellular contamination affect miRNA profiles in biofluids and control is required.

scholarly journals S1959 Identification and Validation of New Biomarkers for Colorectal Cancer Using Isolated Epithelial Stem Cells

2010 ◽  
Vol 138 (5) ◽  
pp. S-289
Author(s):  
David Harrison ◽  
S. Suchitha ◽  
Ansamma Joseph ◽  
Asit Panja
Keyword(s):  
Colorectal Cancer ◽  
Stem Cells ◽  
Epithelial Stem Cells ◽  
New Biomarkers

scholarly journals POTENTIAL OF EXTRACELLULAR MICROVESICLES AS NEW COLORECTAL CANCER BIOMARKER

2021 ◽  
Vol 108 (Supplement_3) ◽  
Author(s):  
G García-Santos ◽  
E Serrano Pertierra ◽  
M Fernández Hevia ◽  
J M Duque Alcorta ◽  
L Sánchez Domínguez ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Surface Antigen ◽  
Lateral Flow ◽  
Lateral Flow Immunoassay ◽  
Control Group ◽  
High Grade ◽  
Detection Techniques ◽  
Key Factor ◽  
Mean Size ◽  
New Biomarkers

Abstract INTRODUCTION Colorectal cancer (CRC) is the third leading cause of cancer death and the fourth cancer with the highest incidence in the world; early detection is a key factor for patient´s prognosis. Microvesicles (MVs) are subcellular structures delimited by lipid bilayer intimately involved in physiopathological processes such as cancer. Our objective is to study the potential of microvesicles as new biomarkers in CRC. MATERIAL AND METHODS Blood was prospectively collected from 300 patients recruited during diagnostic colonoscopy. They were classified into control (no pathological findings), adenoma, high-grade adenoma or carcinoma groups. Microvesicles were isolated from patients serum and a selected cohort of samples was used for MVs characterization and the CD174 surface antigen detection by lateral flow immunoassay (LFI). RESULTS Mean age of the patients was 62.79 (SD 7.662), being 90% asymptomatic at the time of recruitment. The mean size of isolated microparticles was similar in all groups, although larger variability was observed in carcinoma group. MVs concentration is considerably lower in high-grade adenoma and CRC compared to control group. CRC associated surface antigen CD147 can be consistently detected on the surface of microvesicles by lateral flow immunoassay technique CONCLUSION The preliminary results of this project show that it is possible use MVs as diagnostic / prognostic markers. Likewise, is feasible the develop of rapid tests using IFL technology that could be used to complement and/or replace current detection techniques.

scholarly journals New Circulating Circular RNAs with Diagnostic and Prognostic Potential in Advanced Colorectal Cancer

2021 ◽  
Vol 22 (24) ◽  
pp. 13283
Author(s):  
Maria Radanova ◽  
Galya Mihaylova ◽  
Oskan Tasinov ◽  
Desislava P. Ivanova ◽  
George St. Stoyanov ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cox Regression ◽  
Prognostic Significance ◽  
Clinicopathological Characteristics ◽  
Rank Test ◽  
Circular Rnas ◽  
Cox Regression Analysis ◽  
Expression Levels ◽  
The Mean ◽  
New Biomarkers

Circular RNAs (circRNAs) are a group of special endogenous long non-coding RNAs which are highly stable in the circulation, and, thus, more suitable as new biomarkers of colorectal cancer (CRC). The aim of our study was to explore the plasma expression levels of four circRNAs: has_circ_0001445, hsa_circ_0003028, hsa_circ_0007915 and hsa_circ_0008717 in patients with CRC and to evaluate their associations with clinicopathological characteristics and the clinical outcome of the patients. CircRNAs were extracted from patients’ plasma obtained prior to chemotherapy. Their expression levels were measured by qPCR and calculated applying the 2−ΔΔCt method. The levels of all four circRNAs were significantly increased in the plasma of CRC patients. At the optimal cut-off values hsa_circ_0001445 and hsa_circ_0007915 in plasma could significantly distinguish between patients with or without metastatic CRC with 92.56% sensitivity and 42.86% specificity, and with 86.07% sensitivity and 57.14% specificity, respectively. The mean overall survival (OS) of patients with high/intermediate expression of hsa_circ_0001445 was 30 months, significantly higher in comparison with the mean OS of the patients with low expression—20 months (log-rank test, p = 0.034). In multivariate Cox regression analysis, the low levels of hsa_circ_0001445 were also associated with shorter survival (HR = 1.59, 95% CI: 1.02–2.47, p = 0.040). A prognostic significance of hsa_circ_0001445 for patients with metastatic CRC was established.

scholarly journals Radiogenomics: Hunting Down Liver Metastasis in Colorectal Cancer Patients

Cancers ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 5547
Author(s):  
Carolina de la Pinta ◽  
María E. Castillo ◽  
Manuel Collado ◽  
Cristina Galindo-Pumariño ◽  
Cristina Peña
Keyword(s):  
Colorectal Cancer ◽  
Cancer Patients ◽  
Predictive Accuracy ◽  
Response Assessment ◽  
Molecular Data ◽  
Premetastatic Niche ◽  
Metastatic Lesions ◽  
Assessment And Treatment ◽  
New Biomarkers ◽  
Colorectal Cancer Patients

Radiomics is a developing new discipline that analyzes conventional medical images to extract quantifiable data that can be mined for new biomarkers that show the biology of pathological processes at microscopic levels. These data can be converted into image-based signatures to improve diagnostic, prognostic and predictive accuracy in cancer patients. The combination of radiomics and molecular data, called radiogenomics, has clear implications for cancer patients’ management. Though some studies have focused on radiogenomics signatures in hepatocellular carcinoma patients, only a few have examined colorectal cancer metastatic lesions in the liver. Moreover, the need to differentiate between liver lesions is fundamental for accurate diagnosis and treatment. In this review, we summarize the knowledge gained from radiomics and radiogenomics studies in hepatic metastatic colorectal cancer patients and their use in early diagnosis, response assessment and treatment decisions. We also investigate their value as possible prognostic biomarkers. In addition, the great potential of image mining to provide a comprehensive view of liver niche formation is examined thoroughly. Finally, new challenges and current limitations for the early detection of the liver premetastatic niche, based on radiomics and radiogenomics, are also discussed.

scholarly journals Comprehensive Analysis of a tRNA-Derived Small RNA in Colorectal Cancer

2021 ◽  
Vol 11 ◽  
Author(s):  
Yong Zhu ◽  
Shaoqiu Chen ◽  
Zhougui Ling ◽  
Andrew Winnicki ◽  
Lilly Xu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Small Rna ◽  
Interaction Network ◽  
Diagnostic Methods ◽  
Cancer Prognosis ◽  
Diagnostic Model ◽  
Tissue Samples ◽  
Mrna Targets ◽  
Diagnostic Panel ◽  
New Biomarkers

Colorectal cancer often presents as a highly variable disease with myriad forms that are at times difficult to detect in early screenings with sufficient accuracy, for which novel diagnostic methods are an attractive and valuable area of improvement. To improve colorectal cancer diagnosis and prognosis, new biomarkers that can be assembled into a diagnostic panel must be identified, and tRNA-derived small RNAs (tsRNAs) are a particularly interesting and increasingly visible new class of molecules to examine. In this study, small RNA-seq data were profiled for the expression of 104 human tsRNAs in tumor tissue and adjacent normal tissue samples, and a diagnostic model was built based on four differentially expressed tsRNAs: tRF-22-WB86Q3P92, tRF-22-WE8SPOX52, tRF-22-WE8S68L52, tRF-18-8R1546D2. Furthermore, the diagnostic model was validated by two independent validation datasets (AUC was 0.97 and 0.99), and a LASSO model was applied to develop a seven-tsRNA-based risk score model for colorectal cancer prognosis. Finally, a tsRNA-mRNA interaction network was established according to potential mRNA targets predicted by bioinformatic methods. In conclusion, the results suggest that abnormal expression of tsRNA in colorectal cancer may have a functional effect on tumor action and moreover, that some of the tsRNAs identified in this study with diagnostic and prognostic potential could be of clinical significance.

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