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Lin LP, Tan MTT. Biosensors for the detection of lung cancer biomarkers: A review on biomarkers, transducing techniques and recent graphene-based implementations. Biosens Bioelectron 2023; 237:115492. [PMID: 37421797 DOI: 10.1016/j.bios.2023.115492] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 06/07/2023] [Accepted: 06/19/2023] [Indexed: 07/10/2023]
Abstract
Lung cancer remains the leading cause of cancer-related death. In addition to chest X-rays and computerised tomography, the detection of cancer biomarkers serves as an emerging diagnostic tool for lung cancer. This review explores biomarkers including the rat sarcoma gene, the tumour protein 53 gene, the epidermal growth factor receptor, the neuron-specific enolase, the cytokeratin-19 fragment 21-1 and carcinoembryonic antigen as potential indicators of lung cancer. Biosensors, which utilise various transduction techniques, present a promising solution for the detection of lung cancer biomarkers. Therefore, this review also explores the working principles and recent implementations of transducers in the detection of lung cancer biomarkers. The transducing techniques explored include optical techniques, electrochemical techniques and mass-based techniques for detecting biomarkers and cancer-related volatile organic compounds. Graphene has outstanding properties in terms of charge transfer, surface area, thermal conductivity and optical characteristics, on top of allowing easy incorporation of other nanomaterials. Exploiting the collective merits of both graphene and biosensor is an emerging trend, as evidenced by the growing number of studies on graphene-based biosensors for the detection of lung cancer biomarkers. This work provides a comprehensive review of these studies, including information on modification schemes, nanomaterials, amplification strategies, real sample applications, and sensor performance. The paper concludes with a discussion of the challenges and future outlook of lung cancer biosensors, including scalable graphene synthesis, multi-biomarker detection, portability, miniaturisation, financial support, and commercialisation.
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Affiliation(s)
- Lih Poh Lin
- Faculty of Engineering and Technology, Tunku Abdul Rahman University of Management and Technology, 53300, Kuala Lumpur, Malaysia; Centre for Multimodal Signal Processing, Tunku Abdul Rahman University of Management and Technology, 53300, Kuala Lumpur, Malaysia
| | - Michelle Tien Tien Tan
- Faculty of Science and Engineering, University of Nottingham Malaysia, 43500, Semenyih, Malaysia.
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2
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Hu L, Shi T, Chen J, Cui Q, Yu H, Wu D, Ma H, Wei Q, Ju H. Dual-quenching electrochemiluminescence resonance energy transfer system from CoPd nanoparticles enhanced porous g-C 3N 4 to FeMOFs-sCuO for neuron-specific enolase immunosensing. Biosens Bioelectron 2023; 226:115132. [PMID: 36791617 DOI: 10.1016/j.bios.2023.115132] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 02/02/2023] [Accepted: 02/05/2023] [Indexed: 02/09/2023]
Abstract
For the diagnosis and therapy of small cell lung cancer (SCLC), the accurate and sensitive determination of neuron-specific enolase (NSE) content is crucial. This work outlines a dual-quenching electrochemiluminescence resonance energy transfer (ECL-RET) immunosensor based on the double quenching effects of iron base metal organic frameworks (FeMOFs) loaded with small sized CuO nanoparticles (FeMOFs-sCuO) towards CoPd nanoparticles (CoPdNPs) enhanced porous g-C3N4 (P-C3N4-CoPdNPs). To be specific, we prepared a porous g-C3N4 (P-C3N4) which has a rich porous structure, and significantly increased the specific surface area and the number of reaction sites of P-C3N4. Meanwhile, the CoPdNPs were loaded onto P-C3N4 to improve the ECL luminescence property of P-C3N4/K2S2O8 system through acting as a coreaction accelerator. In addition, the ultraviolet-visible (UV-vis) absorption spectra of FeMOFs and small sized CuO nanoparticles (sCuO) showed considerable overlap with the ECL emission spectra of P-C3N4 appropriately. Therefore, FeMOFs with high specific surface area were prepared and well combined with sCuO to effectively dual-quenching the ECL emission of P-C3N4 based on resonance energy transfer. Hence, a new type ECL-RET couple made up of P-C3N4-CoPdNPs (donor) and FeMOFs-sCuO (acceptor) were developed for the first time. A certain amount of P-C3N4-CoPdNPs, Ab1, BSA, NSE were modified layer by layer onto the electrode surface. Then FeMOFs-sCuO-Ab2 bioconjugates was incubated through the immune recognition binding. As a result, a sandwich-type ECL biosensor was manufactured successfully for NSE immunoassay. Under optimal experimental conditions, the limit of detection (LOD) and the limit of quantitation (LOQ) of the prepared ECL sensor for NSE analysis was 20.4 fg mL-1 and 7.99 fg mL-1, respectively, with the relative standard deviation (RSD) of 1.68%. The linear detection range was 0.0000500-100 ng mL-1. The studied immunosensor had satisfactory sensitivity, specificity and reproducibility, manifesting the suggested sensing strategy might offer a good technical means and theoretical basis for the sensitivity analysis of NSE and has a potential application in clinical diagnosis analysis.
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Affiliation(s)
- Lihua Hu
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China.
| | - Tengfei Shi
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China
| | - Jiye Chen
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China
| | - Qianqian Cui
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China
| | - Hao Yu
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China
| | - Dan Wu
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China
| | - Hongmin Ma
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China
| | - Qin Wei
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China
| | - Huangxian Ju
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China; State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, PR China
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3
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Hua Q, Tang F, Wang X, Luan F, Sun W, Liang Y, Zhang L, Zhuang X, Tian C. Electrochemiluminescent determination of CYFRA21-1 serum levels using Ti-Fe-O nanotubes immunoassay. Mikrochim Acta 2022; 189:136. [PMID: 35258701 DOI: 10.1007/s00604-022-05239-z] [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: 12/20/2021] [Accepted: 02/20/2022] [Indexed: 11/28/2022]
Abstract
Prominent electrochemiluminescence (ECL) in Ti-Fe-O nanotube arrays (Ti-Fe-O NTs) with K2S2O8 as the cathode coreactant is reported for the first time. Compared with pure titanium dioxide nanotubes (TiO2 NTs), this heterojunction could effectively reduce the band gap, facilitate electronic transitions, and move the ECL potential to a positive direction. The ECL performance motivated the development of an ultrasensitive ECL immunosensor for detecting cytokeratin fragment 21-1 (CYFRA21-1). Magnetic beads loaded with conductive carbon black (CCB/MNTs) were used to efficiently quench the ECL signal of a Ti-Fe-O NTs electrode and were combined with an ECL immunoassay to realize sensitive detection of CYFRA21-1. Over a CYFRA21-1 concentration range of 1.0 pg·mL-1 ~ 100 ng·mL-1, the change in the ECL signal was highly linear with the logarithm of the CYFRA21-1 concentration, and the limit of detection (LOD) was 0.114 pg·mL-1. This ECL immunosensor was used to successfully determine the CYFRA21-1 content in serum. The recovery of CYFRA21-1 in actual serum was 88.6 - 104.4%, and the RSD was 1.4 - 3.0%. The coreaction solution used in this work was PBS (0.1 M, pH = 7.4) containing 0.05 M K2S2O8, the scanning range was -1.0 - 0 V, the photomultiplier tube (PMT) was set to 750 V, and the scanning rate was 100 mV·s-1.
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Affiliation(s)
- Qing Hua
- College of Chemistry and Chemical Engineering, Yantai University, Yantai, 264005, China
| | - Feiyan Tang
- College of Chemistry and Chemical Engineering, Yantai University, Yantai, 264005, China
| | - Xiaobin Wang
- College of Chemistry and Chemical Engineering, Yantai University, Yantai, 264005, China
| | - Feng Luan
- College of Chemistry and Chemical Engineering, Yantai University, Yantai, 264005, China
| | - Wenjie Sun
- College of Chemistry and Chemical Engineering, Yantai University, Yantai, 264005, China
| | - Yuanyuan Liang
- College of Chemistry and Chemical Engineering, Yantai University, Yantai, 264005, China
| | - Lihong Zhang
- College of Chemistry and Chemical Engineering, Yantai University, Yantai, 264005, China
| | - Xuming Zhuang
- College of Chemistry and Chemical Engineering, Yantai University, Yantai, 264005, China.
| | - Chunyuan Tian
- College of Chemistry and Chemical Engineering, Yantai University, Yantai, 264005, China.
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4
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Zhu RJ, Zhou J, Liang PQ, Xiang XX, Ran J, Xie TA, Guo XG. Accuracy of cytokeratin 19 fragment in the diagnosis of bladder cancer. Biomark Med 2022; 16:197-216. [PMID: 35112920 DOI: 10.2217/bmm-2021-0754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: CYFRA21-1 is a biomarker of cancer and has a promising future in the diagnosis of bladder cancer. The purpose of this study was to assess the diagnostic accuracy of CYFRA21-1 for bladder cancer. Methods: We included articles from the Cochrane Library, Web of Science, PubMed and Embase. Meta-DiSc 1.4 and Stata 12.0 were used for data analysis. Results: Twenty-eight articles were analyzed, and the results are as follows: sensitivity, specificity, PLR, NLR, DOR and AUC were 0.69 (95% CI [0.67, 0.71]), 0.81 (95% CI [0.80, 0.83]), 5.99 (95% CI [4.42, 8.11]), 0.31 (95% CI [0.25, 0.38]), 24.58 (95% CI [15.15, 39.89]) and 0.8917, respectively. Conclusion: CYFRA21-1 has a high diagnostic efficiency for bladder cancer.
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Affiliation(s)
- Rui-Jue Zhu
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Jie Zhou
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Pan-Qiao Liang
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Xiao-Xiu Xiang
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Jie Ran
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Tian-Ao Xie
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China
| | - Xu-Guang Guo
- Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Department of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 511436, China.,Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.,Key Laboratory of Reproduction & Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China
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Kammer MN, Lakhani DA, Balar AB, Antic SL, Kussrow AK, Webster RL, Mahapatra S, Barad U, Shah C, Atwater T, Diergaarde B, Qian J, Kaizer A, New M, Hirsch E, Feser WJ, Strong J, Rioth M, Miller YE, Balagurunathan Y, Rowe DJ, Helmey S, Chen SC, Bauza J, Deppen SA, Sandler K, Maldonado F, Spira A, Billatos E, Schabath MB, Gillies RJ, Wilson DO, Walker RC, Landman B, Chen H, Grogan EL, Barón AE, Bornhop DJ, Massion PP. Integrated Biomarkers for the Management of Indeterminate Pulmonary Nodules. Am J Respir Crit Care Med 2021; 204:1306-1316. [PMID: 34464235 PMCID: PMC8786067 DOI: 10.1164/rccm.202012-4438oc] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 08/27/2021] [Indexed: 01/06/2023] Open
Abstract
Rationale: Patients with indeterminate pulmonary nodules (IPNs) at risk of cancer undergo high rates of invasive, costly, and morbid procedures. Objectives: To train and externally validate a risk prediction model that combined clinical, blood, and imaging biomarkers to improve the noninvasive management of IPNs. Methods: In this prospectively collected, retrospective blinded evaluation study, probability of cancer was calculated for 456 patient nodules using the Mayo Clinic model, and patients were categorized into low-, intermediate-, and high-risk groups. A combined biomarker model (CBM) including clinical variables, serum high sensitivity CYFRA 21-1 level, and a radiomic signature was trained in cohort 1 (n = 170) and validated in cohorts 2-4 (total n = 286). All patients were pooled to recalibrate the model for clinical implementation. The clinical utility of the CBM compared with current clinical care was evaluated in 2 cohorts. Measurements and Main Results: The CBM provided improved diagnostic accuracy over the Mayo Clinic model with an improvement in area under the curve of 0.124 (95% bootstrap confidence interval, 0.091-0.156; P < 2 × 10-16). Applying 10% and 70% risk thresholds resulted in a bias-corrected clinical reclassification index for cases and control subjects of 0.15 and 0.12, respectively. A clinical utility analysis of patient medical records estimated that a CBM-guided strategy would have reduced invasive procedures from 62.9% to 50.6% in the intermediate-risk benign population and shortened the median time to diagnosis of cancer from 60 to 21 days in intermediate-risk cancers. Conclusions: Integration of clinical, blood, and image biomarkers improves noninvasive diagnosis of patients with IPNs, potentially reducing the rate of unnecessary invasive procedures while shortening the time to diagnosis.
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Affiliation(s)
- Michael N. Kammer
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
- Department of Chemistry, and
| | - Dhairya A. Lakhani
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Aneri B. Balar
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Sanja L. Antic
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Amanda K. Kussrow
- Department of Chemistry, and
- Vanderbilt Institute for Chemical Biology, Nashville, Tennessee
- Vanderbilt Ingram Cancer Center, Nashville, Tennessee
| | | | - Shayan Mahapatra
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | | | | | - Thomas Atwater
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Brenda Diergaarde
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh and UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Jun Qian
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Alexander Kaizer
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | | | - Erin Hirsch
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - William J. Feser
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Jolene Strong
- Biomedical Informatics and Personalized Medicine, and
| | - Matthew Rioth
- Medical Oncology and Biomedical Informatics and Personalized Medicine, School of Medicine, University of Colorado, Aurora, Colorado
| | | | | | - Dianna J. Rowe
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Sherif Helmey
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Sheau-Chiann Chen
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Joseph Bauza
- American College of Radiology, Philadelphia, Pennsylvania
| | - Stephen A. Deppen
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Kim Sandler
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Fabien Maldonado
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Avrum Spira
- Department of Medicine, Boston University, Boston, Massachusetts
| | - Ehab Billatos
- Department of Medicine, Boston University, Boston, Massachusetts
| | | | | | - David O. Wilson
- Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; and
| | | | - Bennett Landman
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee
| | - Heidi Chen
- American College of Radiology, Philadelphia, Pennsylvania
| | - Eric L. Grogan
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
| | - Anna E. Barón
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Darryl J. Bornhop
- Department of Chemistry, and
- Vanderbilt Institute for Chemical Biology, Nashville, Tennessee
- Vanderbilt Ingram Cancer Center, Nashville, Tennessee
| | - Pierre P. Massion
- Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine
- Vanderbilt Ingram Cancer Center, Nashville, Tennessee
- Pulmonary Section, Medical Service, Tennessee Valley Healthcare Systems Nashville Campus, Nashville, Tennessee
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Lee SH, Lee EH, Kim EY, Choi YJ, Cha YJ, Chang YS. Biomarkers and diagnostic tools for lung cancer. JOURNAL OF THE KOREAN MEDICAL ASSOCIATION 2021. [DOI: 10.5124/jkma.2021.64.1.66] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Lung cancer is the leading cause of cancer-related deaths in developing to advanced countries worldwide. The incidence rate of lung cancer in Korea has been increasing steadily since 1997. Statistics show that in 2017 alone, the incidence and mortality rates for lung cancer were 52.7 and 34.8 per 100,000 people, respectively, accounting for the highest cause of cancer death in Korea. The process of accurately diagnosing lung cancer consists of several steps, starting with the discovery of pulmonary nodule(s) via a cancer screening test or various other methods followed by the collection of cells or tissues and the identification of target molecules. Thereafter, staging and the development of a therapeutic plan lead to improved clinical outcomes. After the completion of a pilot study, a nationwide lung cancer screening program was introduced in Korea; since 2019, this program has targeted population at high risk for lung cancer: men and women aged 54 to 74 years who had a smoking history of 30 pack-years or more. The frequency of detection of pulmonary nodules is increasing in proportion to the public interest in health and economic growth. In this review, we present diagnostic techniques and biomarkers that are widely used in the medical field in the hope that such information would benefit clinical practice.
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Garcia-Valdecasas Gayo S, Ruiz-Alvarez MJ, Gonzalez-Gay D, Ramos-Corral R, Marquez-Lietor E, Del Amo N, Plata MDC, Guillén-Santos R, Arribas I, Cava-Valenciano F. CYFRA 21-1 in patients with suspected cancer: evaluation of an optimal cutoff to assess the diagnostic efficacy and prognostic value. ADVANCES IN LABORATORY MEDICINE 2020; 1:20200005. [PMID: 37360615 PMCID: PMC10197668 DOI: 10.1515/almed-2020-0005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2020] [Accepted: 07/25/2020] [Indexed: 06/28/2023]
Abstract
Objectives Chosen cutoff for cytokeratin 19 fragment antigen (CYFRA 21-1) as a tumor biomarker considerably influences its diagnostic and prognostic usefulness. The aim of the present study is to determine an optimal cutoff value for diagnostic validity of CYFRA 21-1 by Lumipulse ® technology in patients with suspected cancer and also to determine if CYFRA 21-1 levels provide prognostic value. Methods A consecutive 284 patients suggestive of malignant disease from six hospitals of Madrid were enrolled in a retrospective design. Optimal CYFRA 21-1 cutoff value was obtained by receiver operating characteristic curve and Youden test. The diagnostic validity was evaluated according to sensitivity, specificity, predictive values and likelihood ratios. The prognostic value of CYFRA 21-1 was checked using multiple logistic regression. Thirty-two diagnostic cancers were confirmed. Results The most optimal cutoff was 3.15 ng/mL. This cutoff showed a better specificity 93.63% (95% confidence interval [CI], 89.66-96.16), positive predictive value 60.98% (95% CI, 44.54-75.38) and positive likelihood ratio 12.65 (95% CI, 7.64-20.95) than the cutoff recommended by Fujirebio® (1.8 ng/mL) (specificity: 73.71% [95% CI, 67.72-78.95], positive predictive value: 29.79% [95% CI, 21.02-40.23] and positive likelihood ratio 3.43 [95% CI, 2.71-4.35]), improving the current diagnostic accuracy. In multivariate analysis, elevated levels of CYFRA 21-1 (>3.15 ng/mL) was confirmed as an unfavorable prognostic factor. Conclusions The best cutoff for CYFRA 21-1 obtained was 3.15 ng/mL in patients with suspected cancer. This new cutoff decreases the false positive rate and improves the diagnostic efficacy of CYFRA 21-1 as a tumor marker as well as its association with death events.
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Affiliation(s)
- Sonsoles Garcia-Valdecasas Gayo
- Central Laboratory BR Salud, Department of Clinical Chemistry, Infanta Sofia University Hospital, San Sebastian de los Reyes, Madrid, Spain
| | - Maria Jesus Ruiz-Alvarez
- Central Laboratory BR Salud, Department of Clinical Chemistry, Infanta Sofia University Hospital, San Sebastian de los Reyes, Madrid, Spain
| | - Daniel Gonzalez-Gay
- Central Laboratory BR Salud, Department of Clinical Chemistry, Infanta Sofia University Hospital, San Sebastian de los Reyes, Madrid, Spain
| | - Raquel Ramos-Corral
- Central Laboratory BR Salud, Department of Clinical Chemistry, Infanta Sofia University Hospital, San Sebastian de los Reyes, Madrid, Spain
| | - Eva Marquez-Lietor
- Central Laboratory BR Salud, Department of Clinical Chemistry, Infanta Sofia University Hospital, San Sebastian de los Reyes, Madrid, Spain
| | - Nazaret Del Amo
- Central Laboratory BR Salud, Department of Clinical Chemistry, Infanta Sofia University Hospital, San Sebastian de los Reyes, Madrid, Spain
| | - Maria del Carmen Plata
- Central Laboratory BR Salud, Department of Clinical Chemistry, Infanta Sofia University Hospital, San Sebastian de los Reyes, Madrid, Spain
| | - Raquel Guillén-Santos
- Central Laboratory BR Salud, Department of Clinical Chemistry, Infanta Sofia University Hospital, San Sebastian de los Reyes, Madrid, Spain
| | - Ignacio Arribas
- Department of Clinical Chemistry, Ramón y Cajal University Hospital, San Sebastian de los Reyes, Madrid, Spain
| | - Fernando Cava-Valenciano
- Central Laboratory BR Salud, Department of Clinical Chemistry, Infanta Sofia University Hospital, San Sebastian de los Reyes, Madrid, Spain
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8
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Fu L, Wang R, Yin L, Shang X, Zhang R, Zhang P. CYFRA21-1 tests in the diagnosis of non-small cell lung cancer: A meta-analysis. Int J Biol Markers 2019; 34:251-261. [PMID: 31436122 DOI: 10.1177/1724600819868234] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
OBJECTIVE The aim of the study was to evaluate the diagnostic value of soluble fragment of cytokeratin 19 (CYFRA21-1) tests in detecting non-small cell lung cancer (NSCLC), including squamous cell carcinoma, lung adenocarcinoma, and large cell carcinoma. METHODS The relevant studies were identified from PubMed, Embase and the Cochrane Library before November 2018. Summary estimates for sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of CYFRA21-1 tests for the diagnosis of NSCLC were calculated using the random effects model. A summary receiver operating characteristic (SROC) curve was used to assess the overall effectiveness of the test. Meta-DiSc 1.4 and Stata11.0 were applied to the statistical analysis. Publication bias was detected using Egger's test. RESULTS A total of 22 studies consisting of 7910 NSCLC patients (squamous cell carcinoma/lung adenocarcinoma/large cell carcinoma) and 2630 benign lesions patients that met the inclusion criteria were included. The meta-analysis showed that CYFRA21-1 tests had a relatively high accuracy for squamous cell carcinoma detection and a lower accuracy for lung adenocarcinoma detection. The overall sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of CYFRA21-1 tests for squamous cell carcinoma detection were 0.72 (95% confidence interval (CI) 0.70, 0.74), 0.94 (95% CI 0.92, 0.95), 9.73 (95% CI 7.06, 13.40), 0.37 (95% CI 0.29, 0.47), and 27.30 (95% CI 17.68, 42.16), respectively. The area under the SROC curve was 0.9171 (Q* = 0.8500). No publication bias was tested in the squamous cell carcinoma (P = 0.567) and lung adenocarcinoma (P = 0.378) groups. CONCLUSIONS CYFRA21-1 tests might be appropriate for detecting squamous cell carcinoma.
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Affiliation(s)
- Lei Fu
- Core Laboratory of Translational Medicine, Chinese PLA General Hospital, Beijing, China.,Joint Logistics College, National Defence University of PLA, Beijing, China
| | - Rong Wang
- National Research Institute for Family Planning, Beijing, China
| | - Ling Yin
- Core Laboratory of Translational Medicine, Chinese PLA General Hospital, Beijing, China
| | - Xiaopu Shang
- School of Economics and Management, Beijing Jiaotong University, Beijing, China
| | - Runtong Zhang
- School of Economics and Management, Beijing Jiaotong University, Beijing, China
| | - Pengjun Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education of China), Department of Interventional Therapy, Peking University Cancer Hospital and Institute, Beijing, China
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9
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Reference limits for chromogranin A, CYFRA 21-1, CA 125, CA 19-9 and carcinoembryonic antigen in patients with chronic kidney disease. Int J Biol Markers 2017; 32:e461-e466. [PMID: 28561881 PMCID: PMC6166266 DOI: 10.5301/ijbm.5000278] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/03/2017] [Indexed: 12/26/2022]
Abstract
BACKGROUND Patients with chronic kidney disease (CKD) may have increased plasma concentrations of some tumor markers even when no cancer is present. Previous studies have indicated that plasma concentrations of chromogranin A (CGA), cytokeratin 19 fragments (CYFRA 21-1), cancer antigen 125 (CA 125), cancer antigen 19-9 (CA 19-9) and carcinoembryonic antigen (CEA) are higher in patients with CKD but without cancer, than in healthy individuals, and this can make interpretation of results more complicated. The aim of this study was to establish reference limits for these markers in patients with CKD not receiving dialysis and with no clinical evidence of cancer. METHODS We measured plasma concentrations in samples from 131 patients with CKD due to various etiologies and studied the association of tumor marker concentrations with estimated glomerular filtration rate (GFR) and other patient characteristics. RESULTS Estimated reference limits for plasma CA 125, CA 19-9 and CEA were approximately the same as for healthy populations. Serum concentrations of CGA and CYFRA 21-1 correlated strongly with estimated GFR, and GFR-dependent reference limits were estimated. CONCLUSIONS GFR-dependent reference limits for CGA and CYFRA 21-1 are reported in order to support interpretation of these markers in patients with CKD.
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Stefan-van Staden RI, Comnea-Stancu IR, Yanık H, Göksel M, Alexandru A, Durmuş M. Phthalocyanine-BODIPY dye: synthesis, characterization, and utilization for pattern recognition of CYFRA 21-1 in whole blood samples. Anal Bioanal Chem 2017; 409:6195-6203. [PMID: 28852796 DOI: 10.1007/s00216-017-0560-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2017] [Revised: 07/13/2017] [Accepted: 08/01/2017] [Indexed: 12/01/2022]
Abstract
Phthalocyanine-BODIPY dye (BODIPY = boron dipyrromethene) was synthesized, fully characterized, and used for molecular recognition of CYFRA 21-1, a lung cancer biomarker, from whole blood samples. Thin films of three magnesium oxides ((MgO) n , where n = 8, 9, or 10)) were deposited on a paper substrate, and they were immersed in a solution of phthalocyanine-BODIPY dye (1.17 × 10-3 mol/L) for the design of stochastic sensors. Limits of determination of picograms per milliliter magnitude order were recorded for the proposed stochastic sensors. CYFRA 21-1 was reliably identified and determined with recoveries higher than 95% and RSD lower than 1% in whole blood samples.
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Affiliation(s)
- Raluca-Ioana Stefan-van Staden
- Laboratory of Electrochemistry and PATLAB Bucharest, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei St., 060021, Bucharest, Romania. .,Faculty of Applied Chemistry and Materials Science, Politehnica University of Bucharest, 1-7 Polizu St., 011061, Bucharest, Romania.
| | - Ionela Raluca Comnea-Stancu
- Laboratory of Electrochemistry and PATLAB Bucharest, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei St., 060021, Bucharest, Romania.,Faculty of Applied Chemistry and Materials Science, Politehnica University of Bucharest, 1-7 Polizu St., 011061, Bucharest, Romania
| | - Hülya Yanık
- Department of Chemistry, Gebze Technical University, PO Box 141, 41400, Gebze, Kocaeli, Turkey
| | - Meltem Göksel
- Department of Chemistry, Gebze Technical University, PO Box 141, 41400, Gebze, Kocaeli, Turkey.,Kosekoy Vocational School, Kocaeli University, PO Box 141, 41135, Kartepe, Kocaeli, Turkey
| | - Anghel Alexandru
- Low Temperature Plasma Laboratory, National Institute for Lasers, Plasma and Radiation Physics (NILPRP), 409 Atomistilor St., 077125, Magurele, Romania
| | - Mahmut Durmuş
- Kosekoy Vocational School, Kocaeli University, PO Box 141, 41135, Kartepe, Kocaeli, Turkey
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History, molecular features, and clinical importance of conventional serum biomarkers in lung cancer. Surg Today 2017; 47:1037-1059. [DOI: 10.1007/s00595-017-1477-y] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 01/04/2017] [Indexed: 01/27/2023]
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Diagnostic Value of CYFRA 21-1 in the Cerebrospinal Fluid for Leptomeningeal Metastasis. DISEASE MARKERS 2017; 2017:2467870. [PMID: 28298807 PMCID: PMC5337391 DOI: 10.1155/2017/2467870] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 01/02/2017] [Accepted: 02/01/2017] [Indexed: 11/17/2022]
Abstract
Cerebrospinal fluid (CSF) cytology has low sensitivity for leptomeningeal metastasis (LM); thus, new markers are needed to improve the diagnostic accuracy of LM. We measured carcinoembryonic antigen (CEA) and cytokeratin 19 fragments (CYFRA 21-1) in paired samples of CSF and serum from patients with LM and patients with nonmalignant neurological diseases (NMNDs) as controls. Receiver operating curve analysis was performed to assess their diagnostic accuracy for LM. In patients with NMNDs, CEA and CYFRA 21-1 levels in the CSF were significantly lower than the serum levels. In patients with LM, there was no significant difference between the CSF and serum CEA levels, whereas the CYFRA 21-1 levels were significantly higher in the CSF than the serum. CSF/serum quotients of CYFRA 21-1 were higher than those of CEA in patients with LM and patients with NMNDs. CSF CYFRA 21-1 and CSF/serum quotient of CYFRA 21-1 had high accuracy for differentiating LM from NMNDs that was similar to CSF CEA and CSF/serum quotient of CYFRA 21-1, whereas serum CYFRA 21-1 is of poor diagnostic value. Measurement of CSF CYFRA 21-1 should not be overlooked in patients with suspected LM, even if the serum CYFRA 21-1 level is within normal limits.
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Yuan C, Yang K, Tang H, Chen D. Diagnostic values of serum tumor markers Cyfra21-1, SCCAg, ferritin, CEA, CA19-9, and AFP in oral/oropharyngeal squamous cell carcinoma. Onco Targets Ther 2016; 9:3381-6. [PMID: 27350753 PMCID: PMC4902246 DOI: 10.2147/ott.s105672] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background At present, the research on serum tumor markers in the early diagnosis of malignant tumors has aroused widespread concern. The aim of this study was to investigate the diagnostic values of serum tumor markers cytokeratin 19 fragment (Cyfra21-1), squamous cell carcinoma antigen (SCCAg), ferritin, carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), and α-fetoprotein (AFP) for patients with oral/oropharyngeal squamous carcinoma (OSCC/OPSCC). Methods One hundred and sixty-nine cases of patients with OSCC/OPSCC as the experimental group, 86 cases of oral benign tumor patients as the control group, and 30 cases of healthy people as the normal control group were studied. The levels of serum Cyfra21-1, SCCAg, ferritin, CEA, CA19-9, and AFP were measured using electrochemiluminescence immunoassay. Results The levels of serum Cyfra21-1, SCCAg, ferritin, and CEA in patients with OSCC/OPSCC were significantly higher than those of benign tumor and healthy control group (P<0.05). The levels of CA19-9 and AFP showed no significant difference between patients with OSCC/OPSCC, benign tumor, and healthy group (P>0.05). The level of serum Cyfra21-1 in patients with early OSCC/OPSCC (stage I + II) was significantly higher than that of benign tumor and healthy control group (P<0.05). However, the levels of serum SCCAg, ferritin, CEA, CA19-9, and AFP showed no significant difference between patients with early OSCC/OPSCC, benign tumor, and healthy control group (P>0.05). The levels of serum Cyfra21-1, SCCAg, ferritin, and CEA in the middle-late stage of patients with OSCC/OPSCC (stage III + IV) were significantly higher than those of patients with the early OSCC/OPSCC, benign tumor, and healthy control group (P<0.05). The diagnostic cutoff levels of Cyfra21-1, SCCAg, ferritin, and CEA were 2.17, 0.72, 109.95, and 1.99 ng/mL, respectively. The sensitivities were 60.36%, 73.37%, 81.66%, and 66.27%, respectively. The specificities were 81.03%, 68.10%, 40.52%, and 61.21%, respectively. Conclusion Cyfra21-1, SCCAg, ferritin, and CEA had diagnostic values for patients with OSCC/OPSCC. Meanwhile, Cyfra21-1 had better early diagnostic value for patients with OSCC/OPSCC.
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Affiliation(s)
- Chuanshu Yuan
- Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Kai Yang
- Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Hong Tang
- Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Dan Chen
- Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
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