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Zhang P, Wu Z, Zhou T, Yang D, Mu Q, Zhang W, Yu L, Zhang S, Hu Y, Mu J, Jia W. Autoantibody repertoire profiling in tissue and blood identifies colorectal cancer-specific biomarkers. Cancer Sci 2024; 115:83-93. [PMID: 37985391 PMCID: PMC10823280 DOI: 10.1111/cas.16011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 10/19/2023] [Accepted: 10/25/2023] [Indexed: 11/22/2023] Open
Abstract
Autoantibodies (AAbs) in the blood of colorectal cancer (CRC) patients have been evaluated for tumor detection. However, it remains uncertain whether these AAbs are specific to tumor-associated antigens. In this study, we explored the IgG and IgM autoantibody repertoires in both the in situ tissue microenvironment and peripheral blood as potential tumor-specific biomarkers. We applied high-density protein arrays to profile AAbs in the tumor-infiltrating lymphocyte supernatants and corresponding serum from four patients with CRC, as well as in the serum of three noncancer controls. Our findings revealed that there were more reactive IgM AAbs than IgG in both the cell supernatant and corresponding serum, with a difference of approximately 3-5 times. Immunoglobulin G was predominant in the serum, while IgM was more abundant in the cell supernatant. We identified a range of AAbs present in both the supernatant and the corresponding serum, numbering between 432 and 780, with an average of 53.3% shared. Only 4.7% (n = 23) and 0.2% (n = 2) of reactive antigens for IgG and IgM AAbs, respectively, were specific to CRC. Ultimately, we compiled a list of 19 IgG AAb targets as potential tumor-specific AAb candidates. Autoantibodies against one of the top candidates, p15INK4b-related sequence/regulation of nuclear pre-mRNA domain-containing protein 1A (RPRD1A), were significantly elevated in 53 CRC patients compared to 119 controls (p < 0.0001). The project revealed that tissue-derived IgG AAbs, rather than IgM, are the primary source of tumor-specific AAbs in peripheral blood. It also identified potential tumor-specific AAbs that could be applied for noninvasive screening of CRC.
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Affiliation(s)
- Pei‐Fen Zhang
- Affiliated Tumor Hospital of Xinjiang Medical UniversityÜrümqiChina
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Ziyi Wu
- Department of Radiation OncologyFujian Medical University Cancer Hospital, Fujian Cancer HospitalFuzhouChina
| | - Ting Zhou
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Da‐Wei Yang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouChina
- School of Public HealthSun Yat‐sen UniversityGuangzhouChina
| | - Quan‐Kai Mu
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Wen‐Bin Zhang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Long Yu
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Shao‐Dan Zhang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Ye‐Zhu Hu
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Jianbing Mu
- Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious DiseasesNational Institutes of HealthRockvilleMarylandUSA
| | - Wei‐Hua Jia
- Affiliated Tumor Hospital of Xinjiang Medical UniversityÜrümqiChina
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for CancerSun Yat‐sen University Cancer CenterGuangzhouChina
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Bagheri R, Ghorbian M, Ghorbian S. Tumor circulating biomarkers in colorectal cancer. Cancer Treat Res Commun 2023; 38:100787. [PMID: 38194840 DOI: 10.1016/j.ctarc.2023.100787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/11/2023] [Accepted: 12/21/2023] [Indexed: 01/11/2024]
Abstract
CRC is a major global health concern and is responsible for a significant number of cancer-related deaths each year. The successful treatment of CRC becomes more difficult when it goes undetected until it has advanced to a later stage. Diagnostic biomarkers can play a critical role in the early detection of CRC, which leads to improved patient outcomes and increased survival rates. It is important to develop reliable biomarkers for the early detection of CRC to enable timely diagnosis and treatment. To date, CRC detection methods such as endoscopy, blood, and stool tests are imperfect and often only identify cases in the later stages of the disease. To overcome these limitations, researchers are turning to molecular biomarkers as a promising avenue for improving CRC detection. Diagnostic information can be provided more reliably through a noninvasive approach using biomarkers such as mRNA, circulating cell-free DNA, micro-RNA, long non-coding RNA, and proteins. These biomarkers can be found in blood, tissue, feces, and volatile organic compounds. The identification of molecular biomarkers with high sensitivity and specificity for early detection of CRC that are safe, cost-effective, and easily measurable remains a significant challenge for researchers. In this article, we will explore the latest advancements in blood-based diagnostic biomarkers for CRC and their potential impact on improving patient survival rates.
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Affiliation(s)
- Raana Bagheri
- Department of Molecular Genetics, Ahar Branch, Islamic Azad University, Ahar, Iran
| | - Mohsen Ghorbian
- Department of Computer Engineering, Qom Branch, Islamic Azad University, Qom, Iran
| | - Saeid Ghorbian
- Department of Molecular Genetics, Ahar Branch, Islamic Azad University, Ahar, Iran.
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Multi-Omics Approaches in Colorectal Cancer Screening and Diagnosis, Recent Updates and Future Perspectives. Cancers (Basel) 2022; 14:cancers14225545. [PMID: 36428637 PMCID: PMC9688479 DOI: 10.3390/cancers14225545] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 11/15/2022] Open
Abstract
Colorectal cancer (CRC) is common Cancer as well as the third leading cause of mortality around the world; its exact molecular mechanism remains elusive. Although CRC risk is significantly correlated with genetic factors, the pathophysiology of CRC is also influenced by external and internal exposures and their interactions with genetic factors. The field of CRC research has recently benefited from significant advances through Omics technologies for screening biomarkers, including genes, transcripts, proteins, metabolites, microbiome, and lipidome unbiasedly. A promising application of omics technologies could enable new biomarkers to be found for the screening and diagnosis of CRC. Single-omics technologies cannot fully understand the molecular mechanisms of CRC. Therefore, this review article aims to summarize the multi-omics studies of Colorectal cancer, including genomics, transcriptomics, proteomics, microbiomics, metabolomics, and lipidomics that may shed new light on the discovery of novel biomarkers. It can contribute to identifying and validating new CRC biomarkers and better understanding colorectal carcinogenesis. Discovering biomarkers through multi-omics technologies could be difficult but valuable for disease genotyping and phenotyping. That can provide a better knowledge of CRC prognosis, diagnosis, and treatments.
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Wang HJ, Xie YB, Zhang PJ, Jiang T. Evaluation of the diagnostic value of serum-based proteomics for colorectal cancer. World J Gastrointest Oncol 2022; 14:1562-1573. [PMID: 36160749 PMCID: PMC9412932 DOI: 10.4251/wjgo.v14.i8.1562] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/13/2022] [Accepted: 07/18/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is a highly malignant cancer with a high incidence and mortality in China. It is urgent to find a diagnostic marker with higher sensitivity and specificity than the traditional approaches for CRC diagnosis.
AIM To provide new ideas for the diagnosis of CRC based on serum proteomics.
METHODS Specimens from 83 healthy people, 62 colon polyp (CRP) patients, and 101 CRC patients were analyzed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. The diagnostic value of the profiles of differentially expressed proteins was then analyzed.
RESULTS Compared with the healthy control group, CRC patients had elevated expression of 5 proteins and reduced expression of 14 proteins. The area under the curve (AUC) for a differentially expressed protein with a mass-to-charge ratio of 2022.34 was the largest; the AUC was 0.843, which was higher than the AUC of 0.717 observed with carcinoembryonic antigen (CEA), and the sensitivity and specificity of this identified marker were 75.3% and 79.5%, respectively. After cross-validation, the accuracy of diagnosis using levels of this differentially expressed protein was 82.37%. Compared with the CRP group, the expression of 3 proteins in the serum of CRC patients was elevated and 11 proteins were expressed at reduced levels. Proteins possessing mass-to-charge ratio values of 2899.38 and 877.3 were selected to establish a classification tree model. The results showed that the accuracy of CRC diagnosis was 89.5%, the accuracy of CRP diagnosis was 81.6%, and the overall accuracy of this approach was 86.3%. The overall sensitivity and specificity of diagnosis using the proteomics approach were 81.8% and 66.75%, respectively. The sensitivities and specificities of diagnoses based on CEA and carbohydrate antigen 19-9 expression were 55.6% and 91.3% and 65.4% and 65.2%, respectively.
CONCLUSION We demonstrated that serum proteomics may be helpful for the detection of CRC, and it may assist clinical practice for CRC diagnosis.
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Affiliation(s)
- Hui-Juan Wang
- Department of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Beijing Institute of Respiratory Medicine, Capital Medical University, Beijing 100020, China
| | - Yi-Bin Xie
- Department of Pancreatic and Gastric Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Peng-Jun Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Interventional Therapy Department, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Tao Jiang
- Medical Innovation Research Division of Chinese PLA General Hospital, Beijing 100853, China
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Chandrashekar DS, Karthikeyan SK, Korla PK, Patel H, Shovon AR, Athar M, Netto GJ, Qin ZS, Kumar S, Manne U, Creighton CJ, Varambally S. UALCAN: An update to the integrated cancer data analysis platform. Neoplasia 2022; 25:18-27. [PMID: 35078134 PMCID: PMC8788199 DOI: 10.1016/j.neo.2022.01.001] [Citation(s) in RCA: 782] [Impact Index Per Article: 391.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/05/2022] [Accepted: 01/10/2022] [Indexed: 12/18/2022]
Abstract
Cancer genomic, transcriptomic, and proteomic profiling has generated extensive data that necessitate the development of tools for its analysis and dissemination. We developed UALCAN to provide a portal for easy exploring, analyzing, and visualizing these data, allowing users to integrate the data to better understand the gene, proteins, and pathways perturbed in cancer and make discoveries. UALCAN web portal enables analyzing and delivering cancer transcriptome, proteomics, and patient survival data to the cancer research community. With data obtained from The Cancer Genome Atlas (TCGA) project, UALCAN has enabled users to evaluate protein-coding gene expression and its impact on patient survival across 33 types of cancers. The web portal has been used extensively since its release and received immense popularity, underlined by its usage from cancer researchers in more than 100 countries. The present manuscript highlights the task we have undertaken and updates that we have made to UALCAN since its release in 2017. Extensive user feedback motivated us to expand the resource by including data on a) microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and promoter DNA methylation from TCGA and b) mass spectrometry-based proteomics from the Clinical Proteomic Tumor Analysis Consortium (CPTAC). UALCAN provides easy access to pre-computed, tumor subgroup-based gene/protein expression, promoter DNA methylation status, and Kaplan-Meier survival analyses. It also provides new visualization features to comprehend and integrate observations and aids in generating hypotheses for testing. UALCAN is accessible at http://ualcan.path.uab.edu
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Affiliation(s)
| | | | - Praveen Kumar Korla
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Henalben Patel
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ahmedur Rahman Shovon
- Department of Computer science, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Mohammad Athar
- O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA; Department of Dermatology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - George J Netto
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Zhaohui S Qin
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322, USA
| | - Sidharth Kumar
- Department of Computer science, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Upender Manne
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Chad J Creighton
- Department of Medicine and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Sooryanarayana Varambally
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA; O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA; Informatics Institute, University of Alabama at Birmingham, Birmingham, AL, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA.
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Biosensors as diagnostic tools in clinical applications. Biochim Biophys Acta Rev Cancer 2022; 1877:188726. [DOI: 10.1016/j.bbcan.2022.188726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/18/2022] [Accepted: 03/25/2022] [Indexed: 11/19/2022]
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Novel Diagnostic Biomarkers in Colorectal Cancer. Int J Mol Sci 2022; 23:ijms23020852. [PMID: 35055034 PMCID: PMC8776048 DOI: 10.3390/ijms23020852] [Citation(s) in RCA: 77] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 12/27/2021] [Accepted: 01/03/2022] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer (CRC) is still a leading cause of cancer death worldwide. Less than half of cases are diagnosed when the cancer is locally advanced. CRC is a heterogenous disease associated with a number of genetic or somatic mutations. Diagnostic markers are used for risk stratification and early detection, which might prolong overall survival. Nowadays, the widespread use of semi-invasive endoscopic methods and feacal blood tests characterised by suboptimal accuracy of diagnostic results has led to the detection of cases at later stages. New molecular noninvasive tests based on the detection of CRC alterations seem to be more sensitive and specific then the current methods. Therefore, research aiming at identifying molecular markers, such as DNA, RNA and proteins, would improve survival rates and contribute to the development of personalized medicine. The identification of “ideal” diagnostic biomarkers, having high sensitivity and specificity, being safe, cheap and easy to measure, remains a challenge. The purpose of this review is to discuss recent advances in novel diagnostic biomarkers for tumor tissue, blood and stool samples in CRC patients.
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Durán-Vinet B, Araya-Castro K, Calderón J, Vergara L, Weber H, Retamales J, Araya-Castro P, Leal-Rojas P. CRISPR/Cas13-Based Platforms for a Potential Next-Generation Diagnosis of Colorectal Cancer through Exosomes Micro-RNA Detection: A Review. Cancers (Basel) 2021; 13:4640. [PMID: 34572866 PMCID: PMC8466426 DOI: 10.3390/cancers13184640] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 09/07/2021] [Accepted: 09/09/2021] [Indexed: 02/07/2023] Open
Abstract
Colorectal cancer (CRC) is the third most prevalent cancer with the second highest mortality rate worldwide. CRC is a heterogenous disease with multiple risk factors associated, including obesity, smoking, and use of alcohol. Of total CRC cases, 60% are diagnosed in late stages, where survival can drop to about 10%. CRC screening programs are based primarily on colonoscopy, yet this approach is invasive and has low patient adherence. Therefore, there is a strong incentive for developing molecular-based methods that are minimally invasive and have higher patient adherence. Recent reports have highlighted the importance of extracellular vesicles (EVs), specifically exosomes, as intercellular communication vehicles with a broad cargo, including micro-RNAs (miRNAs). These have been syndicated as robust candidates for diagnosis, primarily for their known activities in cancer cells, including immunoevasion, tumor progression, and angiogenesis, whereas miRNAs are dysregulated by cancer cells and delivered by cancer-derived exosomes (CEx). Quantitative polymerase chain reaction (qPCR) has shown good results detecting specific cancer-derived exosome micro-RNAs (CEx-miRNAs) associated with CRC, but qPCR also has several challenges, including portability and sensitivity/specificity issues regarding experiment design and sample quality. CRISPR/Cas-based platforms have been presented as cost-effective, ultrasensitive, specific, and robust clinical detection tools in the presence of potential inhibitors and capable of delivering quantitative and qualitative real-time data for enhanced decision-making to healthcare teams. Thereby, CRISPR/Cas13-based technologies have become a potential strategy for early CRC diagnosis detecting CEx-miRNAs. Moreover, CRISPR/Cas13-based platforms' ease of use, scalability, and portability also showcase them as a potential point-of-care (POC) technology for CRC early diagnosis. This study presents two potential CRISPR/Cas13-based methodologies with a proposed panel consisting of four CEx-miRNAs, including miR-126, miR-1290, miR-23a, and miR-940, to streamline novel applications which may deliver a potential early diagnosis and prognosis of CRC.
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Affiliation(s)
- Benjamín Durán-Vinet
- Scientific and Technological Bioresource Nucleus (BIOREN-UFRO), Universidad de La Frontera, Temuco 4780000, Chile; (B.D.-V.); (K.A.-C.); (H.W.)
- Center of Excellence in Translational Medicine (CEMT), Biomedicine and Translational Research Laboratory, Universidad de La Frontera, Temuco 4780000, Chile;
| | - Karla Araya-Castro
- Scientific and Technological Bioresource Nucleus (BIOREN-UFRO), Universidad de La Frontera, Temuco 4780000, Chile; (B.D.-V.); (K.A.-C.); (H.W.)
- Innovation and Entrepreneurship Institute (iDEAUFRO), Universidad de La Frontera, Temuco 4780000, Chile
| | - Juan Calderón
- Center for Genetics and Genomics, School of Medicine, Institute of Science and Innovation in Medicine (ICIM), Clínica Alemana, Universidad del Desarrollo, Santiago 8320000, Chile;
| | - Luis Vergara
- Center of Excellence in Translational Medicine (CEMT), Biomedicine and Translational Research Laboratory, Universidad de La Frontera, Temuco 4780000, Chile;
- Doctoral Program in Cell and Applied Molecular Biology, Universidad de La Frontera, Temuco 4780000, Chile
| | - Helga Weber
- Scientific and Technological Bioresource Nucleus (BIOREN-UFRO), Universidad de La Frontera, Temuco 4780000, Chile; (B.D.-V.); (K.A.-C.); (H.W.)
- Center of Excellence in Translational Medicine (CEMT), Biomedicine and Translational Research Laboratory, Universidad de La Frontera, Temuco 4780000, Chile;
| | - Javier Retamales
- Chilean Cooperative Group for Oncologic Research (GOCCHI), Santiago 8320000, Chile;
| | - Paulina Araya-Castro
- School of Medicine, Clínica Alemana, Universidad del Desarrollo, Santiago 8320000, Chile;
| | - Pamela Leal-Rojas
- Scientific and Technological Bioresource Nucleus (BIOREN-UFRO), Universidad de La Frontera, Temuco 4780000, Chile; (B.D.-V.); (K.A.-C.); (H.W.)
- Center of Excellence in Translational Medicine (CEMT), Biomedicine and Translational Research Laboratory, Universidad de La Frontera, Temuco 4780000, Chile;
- Department of Agricultural Sciences and Natural Resources, Faculty of Agricultural and Forestry Science, Universidad de La Frontera, Temuco 4780000, Chile
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Gallardo-Gómez M, De Chiara L, Álvarez-Chaver P, Cubiella J. Colorectal cancer screening and diagnosis: omics-based technologies for development of a non-invasive blood-based method. Expert Rev Anticancer Ther 2021; 21:723-738. [PMID: 33507120 DOI: 10.1080/14737140.2021.1882858] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Introduction: Colorectal cancer (CRC) is one of the most important health problems in the Western world. In order to reduce the burden of the disease, two strategies are proposed: screening and prompt detection in symptomatic patients. Although diagnosis and prevention are mainly based on colonoscopy, fecal hemoglobin detection has been widely implemented as a noninvasive strategy. Various studies aiming to discover blood-based biomarkers have recently emerged.Areas covered: The burgeoning omics field provides diverse high-throughput approaches for CRC blood-based biomarker discovery. In this review, we appraise the most robust and commonly used technologies within the fields of genomics, transcriptomics, epigenomics, proteomics, and metabolomics, together with their targeted validation approaches. We summarize the transference process from the discovery phase until clinical translation. Finally, we review the best candidate biomarkers and their potential clinical applicability.Expert opinion: Some available biomarkers are promising, especially in the field of epigenomics: DNA methylation and microRNA. Transference requires the joint collaboration of basic researchers, intellectual property experts, technology transfer officers and clinicians. Blood-based biomarkers will be selected not only based on their diagnostic accuracy and cost but also on their reliability, applicability to clinical analysis laboratories and their acceptance by the population.
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Affiliation(s)
- María Gallardo-Gómez
- Department of Biochemistry, Genetics and Immunology, University of Vigo, Vigo, Spain.,Biomedical Research Center (CINBIO), University of Vigo, Vigo, Spain
| | - Loretta De Chiara
- Department of Biochemistry, Genetics and Immunology, University of Vigo, Vigo, Spain.,Biomedical Research Center (CINBIO), University of Vigo, Vigo, Spain
| | - Paula Álvarez-Chaver
- Proteomics Unit, Service of Structural Determination, Proteomics and Genomics, Center for Scientific and Technological Research Support (CACTI), University of Vigo, Vigo, Spain
| | - Joaquin Cubiella
- Department of Gastroenterology, Hospital Universitario De Ourense, Ourense, Spain.,Instituto De Investigación Sanitaria Galicia Sur, Ourense, Spain.,Centro De Investigación Biomédica En Red Enfermedades Hepáticas Y Digestivas, Ourense, Spain
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