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van Zanten SV, Kuipers EJ. A next-generation mt-sDNA test had 94% sensitivity for colorectal cancer and 91% specificity for advanced neoplasia. Ann Intern Med 2024. [PMID: 39222515 DOI: 10.7326/annals-24-01660-jc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/04/2024] Open
Abstract
SOURCE CITATION Imperiale TF, Porter K, Zella J, et al; BLUE-C Study Investigators. Next-generation multitarget stool DNA test for colorectal cancer screening. N Engl J Med. 2024;390:984-993. 38477986.
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Affiliation(s)
| | - Ernst J Kuipers
- Nanyang Technological University, Lee Kong Chian School of Medicine, Singapore (E.J.K.)
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Gomez Zuleta MA. Colon cancer screening: What to choose? World J Gastrointest Oncol 2024; 16:3393-3396. [PMID: 39171178 PMCID: PMC11334042 DOI: 10.4251/wjgo.v16.i8.3393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 05/11/2024] [Accepted: 05/24/2024] [Indexed: 08/07/2024] Open
Abstract
Colorectal cancer is one of the predominant tumors in the world, primarily generated by a progression from polyp to cancer which can last several years, giving a great opportunity to the scientific community for its prevention by screening programs that can be done with invasive and non-invasive tests. In this issue, Lopes et al show us an excellent review of screening, its options, its advantages and disadvantages.
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Affiliation(s)
- Martin Alonso Gomez Zuleta
- Department of Internal Medicine, Head of Gastroenterology Unit, Universidad Nacional de Colombia, Hospital Universitario Nacional de Colombi, Bogota 571, Colombia
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O'Leary TJ. Colorectal Cancer Screening: Increasing the Options. J Mol Diagn 2024; 26:669-672. [PMID: 38851387 DOI: 10.1016/j.jmoldx.2024.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 05/22/2024] [Indexed: 06/10/2024] Open
Affiliation(s)
- Timothy J O'Leary
- Office of Research and Development, Veterans Health Administration, Washington, District of Columbia; Department of Pathology, University of Maryland School of Medicine, Baltimore, Maryland.
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Robertson DJ, Rex DK, Ciani O, Drummond MF. Colonoscopy vs the Fecal Immunochemical Test: Which is Best? Gastroenterology 2024; 166:758-771. [PMID: 38342196 DOI: 10.1053/j.gastro.2023.12.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 12/18/2023] [Accepted: 12/29/2023] [Indexed: 02/13/2024]
Abstract
Although there is no debate around the effectiveness of colorectal cancer screening in reducing disease burden, there remains a question regarding the most effective and cost-effective screening modality. Current United States guidelines present a panel of options that include the 2 most commonly used modalities, colonoscopy and stool testing with the fecal immunochemical test (FIT). Large-scale comparative effectiveness trials comparing colonoscopy and FIT for colorectal cancer outcomes are underway, but results are not yet available. This review will separately state the "best case" for FIT and colonoscopy as the screening tool of first choice. In addition, the review will examine these modalities from a health economics perspective to provide the reader further context about the relative advantages of these commonly used tests.
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Affiliation(s)
- Douglas J Robertson
- VA Medical Center, White River Junction, Vermont; Geisel School of Medicine at Dartmouth, Hanover, New Hampshire.
| | - Douglas K Rex
- Division of Gastroenterology/Hepatology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Oriana Ciani
- Centre for Research on Health and Social Care Management, SDA Bocconi School of Management, Milan, Italy
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5
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Patel SG, Dominitz JA. Screening for Colorectal Cancer. Ann Intern Med 2024; 177:ITC49-ITC64. [PMID: 38588547 DOI: 10.7326/aitc202404160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/10/2024] Open
Abstract
Colorectal cancer (CRC) is the second leading cause of cancer death. Screening has been proven to reduce both cancer incidence and cancer-related mortality. Various screening tests are available, each with their own advantages and disadvantages and varying levels of evidence to support their use. Clinicians should offer CRC screening to average-risk persons aged 50 to 75 years; starting screening at age 45 years remains controversial. Screening may be beneficial in select persons aged 76 to 85 years, based on their overall health and screening history. Offering a choice of screening tests or sequentially offering an alternate test for those who do not complete screening can significantly increase participation.
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Affiliation(s)
- Swati G Patel
- Division of Gastroenterology and Hepatology, University of Colorado Anschutz School of Medicine, and Division of Gastroenterology and Hepatology, Rocky Mountain Regional Veterans Affairs Medical Center, Aurora, Colorado (S.G.P.)
| | - Jason A Dominitz
- Gastroenterology Section, Veterans Affairs Puget Sound Health Care System, and Division of Gastroenterology, University of Washington, Seattle, Washington (J.A.D.)
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Wisse PHA, de Klaver W, van Wifferen F, van Maaren-Meijer FG, van Ingen HE, Meiqari L, Huitink I, Bierkens M, Lemmens M, Greuter MJE, van Leerdam ME, Spaander MCW, Dekker E, Coupé VMH, Carvalho B, de Wit M, Meijer GA. The multitarget faecal immunochemical test for improving stool-based colorectal cancer screening programmes: a Dutch population-based, paired-design, intervention study. Lancet Oncol 2024; 25:326-337. [PMID: 38346438 DOI: 10.1016/s1470-2045(23)00651-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 12/08/2023] [Accepted: 12/15/2023] [Indexed: 03/02/2024]
Abstract
BACKGROUND The faecal immunochemical test (FIT) is widely employed for colorectal cancer screening. However, its sensitivity for advanced precursor lesions remains suboptimal. The multitarget FIT (mtFIT), measuring haemoglobin, calprotectin, and serpin family F member 2, has demonstrated enhanced sensitivity for advanced neoplasia, especially advanced adenomas, at equal specificity to FIT. This study aimed to prospectively validate and investigate the clinical utlitity of mtFIT versus FIT in a setting of population-based colorectal cancer screening. METHODS Individuals aged 55-75 years and who were eligible for the Dutch national FIT-based colorectal cancer screening programme were invited to submit both a FIT and mtFIT sample collected from the same bowel movement. Positive FIT (47 μg/g haemoglobin cutoff) or mtFIT (based on decision-tree algorithm) led to a colonoscopy referral. The primary outcome was the relative detection rate of mtFIT versus FIT for all advanced neoplasia. Secondary outcomes were the relative detection rates of colorectal cancer, advanced adenoma, and advanced serrated polyps individually and the long-term effect of mtFIT-based versus FIT-based programmatic screening on colorectal cancer incidence, mortality, and cost, determined with microsimulation modelling. The study has been registered in ClinicalTrials.gov, NCT05314309, and is complete. FINDINGS Between March 25 and Dec 7, 2022, 35 786 individuals were invited to participate in the study, of whom 15 283 (42·7%) consented, and 13 187 (86·3%) of 15 283 provided both mtFIT and FIT samples with valid results. Of the 13 187 participants, 6637 (50·3%) were male and 6550 (49·7%) were female. mtFIT showed a 9·11% (95% CI 8·62-9·61) positivity rate and 2·27% (95% CI 2·02-2·54) detection rate for advanced neoplasia, compared with a positivity rate of 4·08% (3·75-4·43) and a detection rate of 1·21% (1·03-1·41) for FIT. Detection rates of mtFIT versus FIT were 0·20% (95% CI 0·13-0·29) versus 0·17% (0·11-0·27) for colorectal cancer; 1·64% (1·43-1·87) versus 0·86% (0·72-1·04) for advanced adenoma, and 0·43% (0·33-0·56) versus 0·17% (0·11-0·26) for advanced serrated polyps. Modelling demonstrated that mtFIT-based screening could reduce colorectal cancer incidence by 21% and associated mortality by 18% compared with the current Dutch colorectal cancer screening programme, at feasible costs. Furthermore, at equal positivity rates, mtFIT outperformed FIT in terms of diagnostic yield. At an equally low positivity rate, mtFIT-based screening was predicted to further decrease colorectal cancer incidence by 5% and associated mortality by 4% compared with FIT-based screening. INTERPRETATION The higher detection rate of mtFIT for advanced adenoma compared with FIT holds the potential to translate into additional and clinically meaningful long-term colorectal cancer incidence and associated mortality reductions in programmatic colorectal cancer screening. FUNDING Stand Up to Cancer, Dutch Cancer Society, Dutch Digestive Foundation, and Health~Holland.
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Affiliation(s)
- Pieter H A Wisse
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands; Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Willemijn de Klaver
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands; Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, Location University of Amsterdam, Amsterdam, Netherlands
| | - Francine van Wifferen
- Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Location Vrije Universiteit, Amsterdam, Netherlands
| | | | - Huub E van Ingen
- Department of Clinical Chemistry, Star-shl, Rotterdam, Netherlands
| | - Lana Meiqari
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Iris Huitink
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Mariska Bierkens
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Margriet Lemmens
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Marjolein J E Greuter
- Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Location Vrije Universiteit, Amsterdam, Netherlands
| | - Monique E van Leerdam
- Department of Gastro-intestinal Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands; Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, Netherlands
| | - Manon C W Spaander
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Evelien Dekker
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, Location University of Amsterdam, Amsterdam, Netherlands
| | - Veerle M H Coupé
- Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Location Vrije Universiteit, Amsterdam, Netherlands
| | - Beatriz Carvalho
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Meike de Wit
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Gerrit A Meijer
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands.
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7
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Jiang L, Xu F, Feng W, Fu C, Zhou C. The value of hypersensitivity quantitative fecal immunochemical test in early colorectal cancer detection. Postgrad Med J 2024; 100:135-141. [PMID: 38055911 DOI: 10.1093/postmj/qgad114] [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: 09/20/2023] [Revised: 10/18/2023] [Accepted: 10/24/2023] [Indexed: 12/08/2023]
Abstract
At present, both the incidence and mortality rates of colorectal cancer are on the rise, making early screening a crucial tool in reducing the fatality rate. Although colonoscopy is the recommended method according to the guidelines, compliance tends to be poor. The fecal immunochemical test (FIT), a new technology that uses latex immunoturbidimetry to detect fecal blood, offers high specificity and sensitivity. Additionally, it is low-cost, easy to operate, and less likely to be affected by food and drugs, thus improving the compliance rate for population screening. Compared to other screening techniques, FIT represents a safer and more accurate option. This article reviews the application of FIT in early colorectal cancer screening.
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Affiliation(s)
- Lianghong Jiang
- Dalian University Affiliated Xinhua Hospital, Dalian, Liaoning 116000, China
| | - Fen Xu
- Dalian University Affiliated Xinhua Hospital, Dalian, Liaoning 116000, China
| | - Weiwei Feng
- Dalian University Affiliated Xinhua Hospital, Dalian, Liaoning 116000, China
| | - Chen Fu
- Dalian University Affiliated Xinhua Hospital, Dalian, Liaoning 116000, China
| | - Changjiang Zhou
- Dalian University Affiliated Xinhua Hospital, Dalian, Liaoning 116000, China
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Zhang K, He Q, Cao Q, Chuan J, Qin A, Tang L, Zhang X, Xiao C, Zhu B, Hu M, Chang L, Bu ZX, Fu L, Yang T, Wang Y, Liu W. Evaluating the clinical performance of SDC2/NDRG4 methylation for colorectal cancer detection. Epigenomics 2024; 16:93-108. [PMID: 38226561 DOI: 10.2217/epi-2023-0290] [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] [Indexed: 01/17/2024] Open
Abstract
Purpose: The performance and clinical accuracy of combined SDC2/NDRG4 methylation were evaluated in diagnosing colorectal cancer (CRC) and advanced adenoma. Methods: A total of 2333 participants were enrolled to assess the sensitivity and specificity of biomarkers in diagnosing CRC in a multicenter clinical trial through feces DNA methylation tests. Results: SDC2/NDRG4 methylation showed excellent performance for CRC detection in biomarker research and the real world. Its sensitivity for detecting CRC, early CRC and advanced adenoma were 92.06%, 91.45% and 62.61%, respectively. Its specificity was 94.29%, with a total coincidence rate of 88.28%. When interference samples were included, the specificity was still good (82.61%). Therefore, the SDC2/NDRG4 methylation test showed excellent performance in detecting CRC and advanced adenoma under clinical application.
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Affiliation(s)
- Ke Zhang
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, 410000, China
| | - Qing He
- GeneTalks Biotech Co., Ltd, Changsha, Hunan, 410000, PR China
| | - Qin Cao
- Department of Gastroenterology, Sir Run-Run Shaw Hospital, Zhejiang University, Hangzhou, 310016, China
| | - Jun Chuan
- GeneTalks Biotech Co., Ltd, Changsha, Hunan, 410000, PR China
| | - Ang Qin
- Department of Endoscope Center, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, Changsha, Hunan, 410013, China
| | - Lin Tang
- GeneTalks Biotech Co., Ltd, Changsha, Hunan, 410000, PR China
| | - Xinyue Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410000, China
| | - Changhe Xiao
- GeneTalks Biotech Co., Ltd, Changsha, Hunan, 410000, PR China
| | - Biyin Zhu
- GeneTalks Biotech Co., Ltd, Changsha, Hunan, 410000, PR China
| | - Meiling Hu
- GeneTalks Biotech Co., Ltd, Changsha, Hunan, 410000, PR China
| | - Lei Chang
- GeneTalks Biotech Co., Ltd, Changsha, Hunan, 410000, PR China
| | - Zhong Xin Bu
- GeneTalks Biotech Co., Ltd, Changsha, Hunan, 410000, PR China
| | - Lanqi Fu
- GeneTalks Biotech Co., Ltd, Changsha, Hunan, 410000, PR China
| | - Ting Yang
- GeneTalks Biotech Co., Ltd, Changsha, Hunan, 410000, PR China
| | - Yu Wang
- GeneTalks Biotech Co., Ltd, Changsha, Hunan, 410000, PR China
- School of Life Sciences & Technology, Tongji University, Shanghai, 200092, China
| | - Weidong Liu
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, 410000, China
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Wang K, Tang Y, Zhang F, Guo X, Gao L. Combined application of inflammation-related biomarkers to predict postoperative complications of rectal cancer patients: a retrospective study by machine learning analysis. Langenbecks Arch Surg 2023; 408:400. [PMID: 37831218 DOI: 10.1007/s00423-023-03127-5] [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: 07/10/2023] [Accepted: 09/29/2023] [Indexed: 10/14/2023]
Abstract
BACKGROUND Postoperative complications in patients of rectal cancer pose challenges to postoperative recovery. Accurately predicting these complications is crucial for developing effective treatment plans for patients. METHODS In this retrospective study, 493 patients with rectal cancer who underwent radical resection between January 2020 and December 2021 were examined. We evaluated logistic regression, support vector machines, regression trees, and random forests to predict the incidence of postoperative complications in patients and evaluate the performance of the model. The results will be analyzed to make recommendations for reducing complications. RESULTS Among the four machine learning models, random forest demonstrated the highest results. The performance of this model was showed with an AUC of 0.880 (95% CI 0.807-0.949), an accuracy of 88.0% (95% CI 0.815-0.929), a sensitivity of 96.6%, and a specificity of 45.8%. Notably, factors such as inflammation related prognostic index, prognostic nutritional index, tumor location, and T stage were found to significantly increase the probability of postoperative complications. CONCLUSION Our study provided evidence that machine learning models can effectively evaluate early postoperative complications of the patients after surgery.
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Affiliation(s)
- Kunyue Wang
- Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China
| | - Youyuan Tang
- Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China
| | - Feng Zhang
- Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China
| | - Xingpo Guo
- Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China.
| | - Ling Gao
- Department of General Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China.
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Kortlever T, de Klaver W, van der Vlugt M, Meijer G, Dekker E, Bossuyt P. Cross-sectional risk models using quantitative fecal hemoglobin in colorectal cancer screening: a systematic review. Expert Rev Mol Diagn 2023; 23:1221-1232. [PMID: 37930046 DOI: 10.1080/14737159.2023.2279607] [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: 04/27/2023] [Accepted: 10/20/2023] [Indexed: 11/07/2023]
Abstract
INTRODUCTION Fecal Immunochemical Testing (FIT) is a central tool in colorectal cancer (CRC) screening. To improve the selection of individuals for colonoscopy, risk models combining FIT with additional CRC risk factors have been developed. This systematic review aims to provide an overview of the current noninvasive FIT-based risk models for CRC screening to facilitate future implementation. METHODS We performed a systematic literature search for risk models that combined quantitative fecal hemoglobin with clinical data or noninvasive biomarkers and that were intended for CRC screening. Risk of bias was assessed using the PROBAST tool. RESULTS Twenty risk models reported across 29 publications were included. The overall risk of bias was high. In studies that compared risk models to FIT, 11/12 (92%) risk models had a significantly higher c-statistic than FIT only. 16/20 risk models (80%) had not been externally validated and only one model has been implemented so far. CONCLUSION FIT-based risk models have the potential to improve the yield of CRC screening. Unfortunately, all included publications had a high risk of bias and most risk models have not yet been externally validated. The prospect of improved CRC screening with risk models should encourage more rigorous evaluation in existing screening programs.
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Affiliation(s)
- Tim Kortlever
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism (AGEM), Amsterdam, the Netherlands
- Cancer Center Amsterdam (CCA), Amsterdam, The Netherlands
| | - Willemijn de Klaver
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism (AGEM), Amsterdam, the Netherlands
- Cancer Center Amsterdam (CCA), Amsterdam, The Netherlands
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Manon van der Vlugt
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism (AGEM), Amsterdam, the Netherlands
- Cancer Center Amsterdam (CCA), Amsterdam, The Netherlands
| | - Gerrit Meijer
- Cancer Center Amsterdam (CCA), Amsterdam, The Netherlands
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Evelien Dekker
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism (AGEM), Amsterdam, the Netherlands
- Cancer Center Amsterdam (CCA), Amsterdam, The Netherlands
| | - Patrick Bossuyt
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
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Pös O, Styk J, Buglyó G, Zeman M, Lukyova L, Bernatova K, Hrckova Turnova E, Rendek T, Csók Á, Repiska V, Nagy B, Szemes T. Cross-Kingdom Interaction of miRNAs and Gut Microbiota with Non-Invasive Diagnostic and Therapeutic Implications in Colorectal Cancer. Int J Mol Sci 2023; 24:10520. [PMID: 37445698 DOI: 10.3390/ijms241310520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/15/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
Colorectal cancer (CRC) has one of the highest incidences among all types of malignant diseases, affecting millions of people worldwide. It shows slow progression, making it preventable. However, this is not the case due to shortcomings in its diagnostic and management procedure and a lack of effective non-invasive biomarkers for screening. Here, we discuss CRC-associated microRNAs (miRNAs) and gut microbial species with potential as CRC diagnostic and therapy biomarkers. We provide rich evidence of cross-kingdom miRNA-mediated interactions between the host and gut microbiome. miRNAs have emerged with the ability to shape the composition and dynamics of gut microbiota. Intestinal microbes can uptake miRNAs, which in turn influence microbial growth and provide the ability to regulate the abundance of various microbial species. In the context of CRC, targeting miRNAs could aid in manipulating the balance of the microbiota. Our findings suggest the need for correlation analysis between the composition of the gut microbiome and the miRNA expression profile.
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Affiliation(s)
- Ondrej Pös
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Geneton Ltd., 841 04 Bratislava, Slovakia
| | - Jakub Styk
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Geneton Ltd., 841 04 Bratislava, Slovakia
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia
| | - Gergely Buglyó
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Michal Zeman
- Comenius University Science Park, 841 04 Bratislava, Slovakia
| | - Lydia Lukyova
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 842 05 Bratislava, Slovakia
| | - Kamila Bernatova
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 842 05 Bratislava, Slovakia
| | - Evelina Hrckova Turnova
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Slovgen Ltd., 841 04 Bratislava, Slovakia
| | - Tomas Rendek
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia
| | - Ádám Csók
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Vanda Repiska
- Institute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, 811 08 Bratislava, Slovakia
- Medirex Group Academy, n.p.o., 949 05 Nitra, Slovakia
| | - Bálint Nagy
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Department of Human Genetics, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Tomas Szemes
- Comenius University Science Park, 841 04 Bratislava, Slovakia
- Geneton Ltd., 841 04 Bratislava, Slovakia
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University, 842 05 Bratislava, Slovakia
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Zhang H, Zuo L, Li J, Geng Z, Ge S, Song X, Wang Y, Zhang X, Wang L, Zhao T, Deng M, Chai D, Wang Q, Yang Z, Liu Q, Qiu Q, He X, Yang Y, Ge Y, Wu R, Zheng L, Li J, Chen R, Sun J, Hu J. Construction of a fecal immune-related protein-based biomarker panel for colorectal cancer diagnosis: a multicenter study. Front Immunol 2023; 14:1126217. [PMID: 37313408 PMCID: PMC10258350 DOI: 10.3389/fimmu.2023.1126217] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 05/09/2023] [Indexed: 06/15/2023] Open
Abstract
Purpose To explore fecal immune-related proteins that can be used for colorectal cancer (CRC) diagnosis. Patients and methods Three independent cohorts were used in present study. In the discovery cohort, which included 14 CRC patients and 6 healthy controls (HCs), label-free proteomics was applied to identify immune-related proteins in stool that could be used for CRC diagnosis. Exploring potential links between gut microbes and immune-related proteins by 16S rRNA sequencing. The abundance of fecal immune-associated proteins was verified by ELISA in two independent validation cohorts and a biomarker panel was constructed that could be used for CRC diagnosis. The validation cohort I included 192 CRC patients and 151 HCs from 6 different hospitals. The validation cohort II included 141 CRC patients, 82 colorectal adenoma (CRA) patients, and 87 HCs from another hospital. Finally, the expression of biomarkers in cancer tissues was verified by immunohistochemistry (IHC). Results In the discovery study, 436 plausible fecal proteins were identified. And among 67 differential fecal proteins (|log2 fold change| > 1, P< 0.01) that could be used for CRC diagnosis, 16 immune-related proteins with diagnostic value were identified. The 16S rRNA sequencing results showed a positive correlation between immune-related proteins and the abundance of oncogenic bacteria. In the validation cohort I, a biomarker panel consisting of five fecal immune-related proteins (CAT, LTF, MMP9, RBP4, and SERPINA3) was constructed based on the least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression. The biomarker panel was found to be superior to hemoglobin in the diagnosis of CRC in both validation cohort I and validation cohort II. The IHC result showed that protein expression levels of these five immune-related proteins were significantly higher in CRC tissue than in normal colorectal tissue. Conclusion A novel biomarker panel consisting of fecal immune-related proteins can be used for the diagnosis of CRC.
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Affiliation(s)
- Hao Zhang
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Lugen Zuo
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Department of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Jing Li
- Department of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Department of Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Zhijun Geng
- Department of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Department of Central Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Sitang Ge
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Department of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Xue Song
- Department of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Department of Central Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Yueyue Wang
- Department of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Department of Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Xiaofeng Zhang
- Department of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Department of Central Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Lian Wang
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Tianhao Zhao
- Department of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Department of Gastroenterology, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Min Deng
- Department of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Department of Gastroenterology, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Damin Chai
- Department of Pathology, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Qiusheng Wang
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Zi Yang
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Quanli Liu
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Quanwei Qiu
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Xuxu He
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Yiqun Yang
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Yuanyuan Ge
- Department of Colorectal Surgery, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, China
| | - Rong Wu
- Department of General Surgery, Zhongda Hospital, Southeast University, Nanjing, China
| | - Lin Zheng
- Department of Clinical Laboratory, The Affiliated Hospital of Medical School of Ningbo University, Ningbo, China
| | - Jianjun Li
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Runkai Chen
- Department of General Surgery, Chinese PLA General Hospital, Beijing, China
| | - Jialiang Sun
- Department of General Surgery, Shanghai Fengxian District Central Hospital, Shanghai, China
| | - Jianguo Hu
- Department of Inflammatory Bowel Disease Research Center, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Department of Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu, China
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13
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Chen Y, Ouyang Y, Li Z, Wang X, Ma J. S100A8 and S100A9 in Cancer. Biochim Biophys Acta Rev Cancer 2023; 1878:188891. [PMID: 37001615 DOI: 10.1016/j.bbcan.2023.188891] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 03/09/2023] [Accepted: 03/09/2023] [Indexed: 03/31/2023]
Abstract
S100A8 and S100A9 are Ca2+ binding proteins that belong to the S100 family. Primarily expressed in neutrophils and monocytes, S100A8 and S100A9 play critical roles in modulating various inflammatory responses and inflammation-associated diseases. Forming a common heterodimer structure S100A8/A9, S100A8 and S100A9 are widely reported to participate in multiple signaling pathways in tumor cells. Meanwhile, S100A8/A9, S100A8, and S100A9, mainly as promoters, contribute to tumor development, growth and metastasis by interfering with tumor metabolism and the microenvironment. In recent years, the potential of S100A8/A9, S100A9, and S100A8 as tumor diagnostic or prognostic biomarkers has also been demonstrated. In addition, an increasing number of potential therapies targeting S100A8/A9 and related signaling pathways have emerged. In this review, we will first expound on the characteristics of S100A8/A9, S100A9, and S100A8 in-depth, focus on their interactions with tumor cells and microenvironments, and then discuss their clinical applications as biomarkers and therapeutic targets. We also highlight current limitations and look into the future of S100A8/A9 targeted anti-cancer therapy.
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14
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Ameen S, Wong MC, Turner P, Yee KC. Improving colorectal cancer screening - consumer-centred technological interventions to enhance engagement and participation amongst diverse cohorts. Clin Res Hepatol Gastroenterol 2023; 47:102064. [PMID: 36494072 DOI: 10.1016/j.clinre.2022.102064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 09/30/2022] [Accepted: 12/05/2022] [Indexed: 12/12/2022]
Abstract
The current "Gold Standard" colorectal cancer (CRC) screening approach of faecal occult blood test (FOBT) with follow-up colonoscopy has been shown to significantly improve morbidity and mortality, by enabling the early detection of disease. However, its efficacy is predicated on high levels of population participation in screening. Several international studies have shown continued low rates of screening participation, especially amongst highly vulnerable lower socio-economic cohorts, with minimal improvement using current recruitment strategies. Research suggests that a complex of dynamic factors (patient, clinician, and the broader health system) contribute to low citizen engagement. This paper argues that the challenges of screening participation can be better addressed by (1) developing dynamic multifaceted technological interventions collaboratively across stakeholders using human-centered design; (2) integrating consumer-centred artificial intelligence (AI) technologies to maximise ease of use for CRC screening; and (3) tailored strategies that maximise population screening engagement, especially amongst the most vulnerable.
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Affiliation(s)
- Saleem Ameen
- College of Health and Medicine, University of Tasmania, Hobart 7000, Tasmania, Australia.
| | - Ming Chao Wong
- College of Sciences and Engineering, University of Tasmania, Hobart 7000, Tasmania, Australia
| | - Paul Turner
- College of Sciences and Engineering, University of Tasmania, Hobart 7000, Tasmania, Australia
| | - Kwang Chien Yee
- College of Health and Medicine, University of Tasmania, Hobart 7000, Tasmania, Australia
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15
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Wisse PHA, de Klaver W, van Wifferen F, Meiqari L, Bierkens M, Greuter MJE, Carvalho B, van Leerdam ME, Spaander MCW, Dekker E, Coupé VMH, de Wit M, Meijer GA. The multitarget fecal immunochemical test versus the fecal immunochemical test for programmatic colorectal cancer screening: a cross-sectional intervention study with paired design. BMC Cancer 2022; 22:1299. [PMID: 36503495 PMCID: PMC9743627 DOI: 10.1186/s12885-022-10372-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 11/24/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Many screening programs for colorectal cancer (CRC) use the fecal immunochemical test (FIT) to triage individuals for colonoscopy. Although these programs reduce CRC incidence and CRC-related mortality, the detection of advanced precursor lesions (advanced adenomas and advanced serrated polyps) by FIT could be improved. As an alternative for FIT, the antibody-based multitargetFIT (mtFIT) has been proposed. The mtFIT measures three protein markers: hemoglobin, calprotectin, and serpin family F member 2. In a retrospective diagnostic accuracy study in a large colonoscopy-controlled series (n = 1284), mtFIT showed increased sensitivity for advanced neoplasia (AN), at equal specificity, compared to FIT (42.9% versus 37.3%; p = 0.025). This increase was mainly due to a higher sensitivity of mtFIT for advanced adenomas (37.8% versus 28.1% for FIT; p = 0.006). The present mtFIT study aims to prospectively validate these findings in the context of the Dutch national CRC screening program. METHOD The mtFIT study is a cross-sectional intervention study with a paired design. Eligible subjects for the Dutch FIT-based national CRC screening program are invited to perform mtFIT in addition to FIT. Samples are collected at home, from the same bowel movement, and are shipped to a central laboratory by postal mail. If either one or both tests are positive, participants are referred for colonoscopy. Detailed colonoscopy and pathology data are centrally stored in a national screening database (ScreenIT; Topicus, Deventer, the Netherlands) that is managed by the screening organization, and will be retrieved for this study. We aim to determine the relative sensitivity for AN, comprising of CRC, advanced adenomas and advanced serrated polyps, of mtFIT compared to FIT at an equal positivity rate. Additionally, we will use the Adenoma and Serrated Pathway to Colorectal CAncer model to predict lifetime health effects and costs for programmatic mtFIT- versus FIT-based screening. The target sample size is 13,131 participants. DISCUSSION The outcome of this study will inform on the comparative clinical utility of mtFIT versus FIT in the Dutch national CRC screening program and is an important step forward in the development of a new non-invasive stool test for CRC screening. TRIAL REGISTRATION Clinicaltrials.gov ; NCT05314309, registered April 6th 2022, first inclusions March 25th 2022 https://clinicaltrials.gov/ct2/results?cond=&term=NCT05314309&cntry=&state=&city=&dist =.
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Affiliation(s)
- P. H. A. Wisse
- grid.430814.a0000 0001 0674 1393Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam, CX the Netherlands ,grid.5645.2000000040459992XDepartment of Gastroenterology and Hepatology, Erasmus University Medical Center, Doctor Molewaterplein 40, Rotterdam, GD 3015 the Netherlands
| | - W. de Klaver
- grid.5645.2000000040459992XDepartment of Gastroenterology and Hepatology, Erasmus University Medical Center, Doctor Molewaterplein 40, Rotterdam, GD 3015 the Netherlands ,grid.7177.60000000084992262Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, Location University of Amsterdam, Meibergdreef 9, Amsterdam, AZ 1105 the Netherlands
| | - F. van Wifferen
- grid.509540.d0000 0004 6880 3010Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, HV 1081 the Netherlands
| | - L. Meiqari
- grid.430814.a0000 0001 0674 1393Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam, CX the Netherlands
| | - M. Bierkens
- grid.430814.a0000 0001 0674 1393Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam, CX the Netherlands
| | - M. J. E. Greuter
- grid.509540.d0000 0004 6880 3010Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, HV 1081 the Netherlands
| | - B. Carvalho
- grid.430814.a0000 0001 0674 1393Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam, CX the Netherlands
| | - M. E. van Leerdam
- grid.430814.a0000 0001 0674 1393Department of Gastro-intestinal Oncology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam, CX 1066 the Netherlands
| | - M. C. W. Spaander
- grid.5645.2000000040459992XDepartment of Gastroenterology and Hepatology, Erasmus University Medical Center, Doctor Molewaterplein 40, Rotterdam, GD 3015 the Netherlands
| | - E. Dekker
- grid.7177.60000000084992262Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, Location University of Amsterdam, Meibergdreef 9, Amsterdam, AZ 1105 the Netherlands
| | - V. M. H. Coupé
- grid.509540.d0000 0004 6880 3010Department of Epidemiology and Data Science, Amsterdam University Medical Centers, Location Vrije Universiteit, De Boelelaan 1117, Amsterdam, HV 1081 the Netherlands
| | - M. de Wit
- grid.430814.a0000 0001 0674 1393Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam, CX the Netherlands
| | - G. A. Meijer
- grid.430814.a0000 0001 0674 1393Department of Pathology, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam, CX the Netherlands
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16
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Yin H, Huang Z, Niu S, Ming L, Jiang H, Gu L, Huang W, Xie J, He Y, Zhang C. 5-Methylcytosine (m5C) modification in peripheral blood immune cells is a novel non-invasive biomarker for colorectal cancer diagnosis. Front Immunol 2022; 13:967921. [PMID: 36211353 PMCID: PMC9532581 DOI: 10.3389/fimmu.2022.967921] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 09/02/2022] [Indexed: 11/23/2022] Open
Abstract
Current non-invasive tumor biomarkers failed to accurately identify patients with colorectal cancer (CRC), delaying CRC diagnosis and thus leading to poor prognosis. Dysregulation of 5-Methylcytosine (m5C) RNA has gradually been reported in various cancers, but their role in tumor diagnosis is rarely mentioned. Our study aimed to determine the role of m5C methylation modification in blood immune cells for the diagnosis of CRC. Peripheral blood samples were obtained from a total of 83 healthy controls and 196 CRC patients. We observed that m5C RNA contents in blood immune cells of CRC patients were markedly enhanced in both training set and validation set. Moreover, levels of m5C increased with CRC progression and metastasis but reduced after treatment. Compared with common blood tumor biomarkers, m5C levels in peripheral blood immune cells had superior discrimination and reclassification performance in diagnosing CRC. Besides, bioinformatics and qRT-PCR analysis identified increased expression of m5C-modified regulators NSUN5 and YBX1 in CRC patients’ blood. A series of animal models and cell co-culture models further demonstrated that CRC tumor cells could increase immune cells’ m5C levels and m5C-modified regulators. Monocyte was the predominant m5C-modified immune cell type in CRC patients’ blood by Gene set variation analysis (GSVA). Taken together, m5C methylation modification in peripheral blood immune cells was a promising biomarker for non-invasive diagnosis of CRC.
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Affiliation(s)
- Haofan Yin
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
| | - Zhijian Huang
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
| | - Shiqiong Niu
- Department of Clinical Laboratory, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
| | - Liang Ming
- Department of Clinical Laboratory, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
| | - Hongbo Jiang
- Department of Clinical Laboratory, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
| | - Liang Gu
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
| | - Weibin Huang
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
| | - Jinye Xie
- Department of Clinical Laboratory, Zhongshan City People's Hospital, The Affiliated Zhongshan Hospital of Sun Yat-Sen University, Zhongshan, China
- *Correspondence: Changhua Zhang, ; Yulong He, ; Jinye Xie,
| | - Yulong He
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
- *Correspondence: Changhua Zhang, ; Yulong He, ; Jinye Xie,
| | - Changhua Zhang
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong, China
- *Correspondence: Changhua Zhang, ; Yulong He, ; Jinye Xie,
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17
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van Liere ELSA, de Boer NKH, Dekker E, van Leerdam ME, de Meij TGJ, Ramsoekh D. Systematic review: non-endoscopic surveillance for colorectal neoplasia in individuals with Lynch syndrome. Aliment Pharmacol Ther 2022; 55:778-788. [PMID: 35181895 PMCID: PMC9303645 DOI: 10.1111/apt.16824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 12/08/2021] [Accepted: 02/02/2022] [Indexed: 12/09/2022]
Abstract
BACKGROUND Individuals with Lynch syndrome are at high risk for colorectal cancer (CRC). Regular colonoscopies have proven to decrease CRC incidence and mortality. However, colonoscopy is burdensome and interval CRCs still occur. Hence, an accurate, less-invasive screening method that guides the timing of colonoscopy would be of important value. AIM To outline the performance of non-endoscopic screening modalities for Lynch-associated CRC and adenomas. METHODS Systematic literature search in MEDLINE and EMBASE to identify studies investigating imaging techniques and biomarkers for detection of CRC and adenomas in Lynch syndrome. The QUADAS-2 tool was used for the quality assessment of included studies. RESULTS Seven of 1332 screened articles fulfilled the inclusion criteria. Two studies evaluated either CT colonography or MR colonography; both techniques were unable to detect CRC and (advanced) adenomas <10 mm. The other five studies evaluated plasma methylated-SEPTIN9, faecal immunochemical test (FIT), faecal tumour DNA markers (BAT-26, hMLH1, p53, D9S171, APC, D9S162, IFNA and DCC) and faecal microbiome as screening modalities. Sensitivity for CRC varied from 33% (BAT-26) to 70% (methylated-SEPTIN9) to 91% (hMLH1). High specificity (94-100%) for CRC and/or adenomas was observed for methylated-SEPTIN9, FIT and BAT-26. Desulfovibrio was enriched in the stool of patients having adenomas. However, all these studies were characterised by small populations, high/unclear risk of bias and/or low prevalence of adenomas. CONCLUSIONS Imaging techniques are unsuitable for colon surveillance in Lynch syndrome, whereas biomarkers are understudied. Having outlined biomarker research in Lynch-associated and sporadic CRC/adenomas, we believe that these non-invasive markers may hold potential (whether or not combined) for this population. As they could be of great value, (pre-)clinical studies in this field should be prioritised.
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Affiliation(s)
- Elsa L. S. A. van Liere
- Department of Gastroenterology and HepatologyAmsterdam University Medical Centre, AGEM Research Institute, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Nanne K. H. de Boer
- Department of Gastroenterology and HepatologyAmsterdam University Medical Centre, AGEM Research Institute, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Evelien Dekker
- Department of Gastroenterology and HepatologyAmsterdam University Medical Centre, University of AmsterdamAmsterdamThe Netherlands
| | - Monique E. van Leerdam
- Department of GastroenterologyNetherlands Cancer InstituteAmsterdamThe Netherlands,Department of Gastroenterology and HepatologyLeiden University Medical CenterLeidenThe Netherlands
| | - Tim G. J. de Meij
- Department of Paediatric GastroenterologyEmma Children’s Hospital, Amsterdam University Medical Centre, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Dewkoemar Ramsoekh
- Department of Gastroenterology and HepatologyAmsterdam University Medical Centre, Vrije Universiteit AmsterdamAmsterdamThe Netherlands
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18
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A Novel Urinary miRNA Biomarker for Early Detection of Colorectal Cancer. Cancers (Basel) 2022; 14:cancers14020461. [PMID: 35053622 PMCID: PMC8773893 DOI: 10.3390/cancers14020461] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/27/2021] [Accepted: 01/14/2022] [Indexed: 12/21/2022] Open
Abstract
Simple Summary Early diagnosis is critically important to achieve life-saving therapy for colorectal cancer (CRC). Since colonoscopy is not suitable as a screening method for CRC due to its invasiveness and high-cost, reliable and non-invasive diagnostic biomarkers are hopeful for CRC. In this case-control study, we established completely non-invasive, novel urinary microRNA (miRNA) biomarker panel combining miR-129-1-3p and miR-566 for the diagnosis of CRC. In the independent age- and sex-matched three cohorts comprising 415 participants, urinary levels of these miRNAs were consistently elevated in the CRC group compared to the healthy controls. Notably, the panel of combining miR-129-1-3p and miR-566 revealed an AUC of 0.845 for stage 0/I CRC that can be treated with endoscopic resection. Abstract Since noninvasive biomarkers as an alternative to invasive colonoscopy to detect colorectal cancer (CRC) are desired, we conducted this study to determine the urinary biomarker consisting of microRNAs (miRNAs). In total, 415 age- and sex-matched participants, including 206 patients with CRC and 209 healthy controls (HCs), were randomly divided into three groups: (1) the discovery cohort (CRC, n = 3; HC, n = 6); (2) the training cohort (140 pairs); and (3) the validation cohort (63 pairs). Among 11 urinary miRNAs with aberrant expressions between the two groups, miR-129-1-3p and miR-566 were significantly independent biomarkers that detect CRC. The panel consisting of two miRNAs could distinguish patients with CRC from HC participants with an area under the curve (AUC) = 0.811 in the training cohort. This panel showed good efficacy with an AUC = 0.868 in the validation cohort. This urinary biomarker combining miR-129-1-3p and miR-566 could detect even stage 0/I CRC effectively with an AUC = 0.845. Moreover, the expression levels of both miR-129-1-3p and miR-566 were significantly higher in primary tumor tissues than in adjacent normal tissue. Our established novel biomarker consisting of urinary miR-129-1-3p and miR-566 enables noninvasive and early detection of CRC.
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19
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Wu ZQ, Li Y, Sun NN, Xu Q, Zhou J, Su KK, Goyal H, Xu HG. Nomogram for preoperative estimation of histologic grade in gastrointestinal neuroendocrine tumors. Front Endocrinol (Lausanne) 2022; 13:991773. [PMID: 36353229 PMCID: PMC9637831 DOI: 10.3389/fendo.2022.991773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 10/12/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The treatment strategies and prognosis for gastroenteropancreatic neuroendocrine tumors were associated with tumor grade. Preoperative predictive grading could be of great benefit in the selection of treatment options for patients. However, there is still a lack of effective non-invasive strategies to detect gastrointestinal neuroendocrine tumors (GI-NETs) grading preoperatively. METHODS The data on 147 consecutive GI-NETs patients was retrospectively collected from January 1, 2012, to December 31, 2019. Logistic regression was used to construct a predictive model of gastrointestinal neuroendocrine tumor grading using preoperative laboratory and imaging parameters.The validity of the model was assessed by area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA). RESULTS The factors associated with GI-NETs grading were age, tumor size, lymph nodes, neuron-specific enolase (NSE), hemoglobin (HGB) and sex, and two models were constructed by logistic regression for prediction. Combining these 6 factors, the nomogram was constructed for model 1 to distinguish between G3 and G1/2, achieving a good AUC of 0.921 (95% CI: 0.884-0.965), and the sensitivity, specificity, accuracy were 0.9167, 0.8256, 0.8630, respectively. The model 2 was to distinguish between G1 and G2/3, and the variables were age, tumor size, lymph nodes, NSE, with an AUC of 0.847 (95% CI: 0.799-0.915), and the sensitivity, specificity, accuracy were 0.7882, 0.8710, 0.8231, respectively. Two online web servers were established on the basis of the proposed nomogram to facilitate clinical use. Both models showed an excellent calibration curve through 1000 times bootstrapped dataset and the clinical usefulness were confirmed using decision curve analysis. CONCLUSION The model served as a valuable non-invasive tool for differentiating between different grades of GI-NETs, personalizing the calculation which can lead to a rational treatment choice.
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Affiliation(s)
- Zhi-Qi Wu
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China
| | - Yan Li
- Academy for Advanced Interdisciplinary Studies, Peking University, Peking, China
| | - Na-Na Sun
- Department of Radiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Qin Xu
- Department of Laboratory Medicine, Jurong Hospital Affiliated to Jiangsu University, Jurong, China
| | - Jing Zhou
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China
| | - Kan-Kan Su
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China
| | - Hemant Goyal
- Department of Internal Medicine, Mercer University School of Medicine, Macon, GA, United States
| | - Hua-Guo Xu
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China
- *Correspondence: Hua-Guo Xu,
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