Literature DB >> 27916120

Development and statistical assessment of a paper-based immunoassay for detection of tumor markers.

Thiago Mazzu-Nascimento1, Giorgio Gianini Morbioli2, Luis Aparecido Milan3, Fabiana Cristina Donofrio4, Carlos Alberto Mestriner5, Emanuel Carrilho6.   

Abstract

Paper-based assays are an attractive low-cost option for clinical chemistry testing, due to characteristics such as short time of analysis, low consumption of samples and reagents, and high portability of assays. However, little attention has been given to the evaluation of the performance of these simple tests, which should include the use of a statistical approach to define the choice of best cut-off value for the test. The choice of the cut-off value impacts on the sensitivity and specificity of the bioassay. Here, we developed a paper-based immunoassay for the detection of the carcinoembryonic antigen (CEA) and performed a statistical assessment to establish the assay's cut-off value using the Youden's J index (68.28 A.U.), what allowed for a gain in sensibility (0.86) and specificity (1.0). We also discuss about the importance of defining a gray zone as a safety margin for test (±12% over the cut-off value), eliminating all false positives and false negatives outcomes and avoiding misleading results. The test accuracy was calculated as the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, presenting a value of 0.97, what classifies this test as highly accurate. We propose here a low-cost method capable of detecting carcinoembryonic antigen (CEA) in human serum samples, highlighting the importance of statistical tools to evaluate a new low-cost diagnostic method. Copyright Â
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cancer; Paper-based ELISA; Receiver operating characteristic curve (ROC); Tumor markers; Youden index (J)

Mesh:

Substances:

Year:  2016        PMID: 27916120     DOI: 10.1016/j.aca.2016.11.011

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  7 in total

Review 1.  Colorimetric Paper-Based Sensors against Cancer Biomarkers.

Authors:  Mariana C C G Carneiro; Ligia R Rodrigues; Felismina T C Moreira; Maria Goreti F Sales
Journal:  Sensors (Basel)       Date:  2022-04-22       Impact factor: 3.847

2.  Sensitivity, Specificity, Predictive Values, and Accuracy of Three Diagnostic Tests to Predict Inferior Alveolar Nerve Blockade Failure in Symptomatic Irreversible Pulpitis.

Authors:  Daniel Chavarría-Bolaños; Laura Rodríguez-Wong; Danny Noguera-González; Vicente Esparza-Villalpando; Mauricio Montero-Aguilar; Amaury Pozos-Guillén
Journal:  Pain Res Manag       Date:  2017-06-14       Impact factor: 3.037

3.  Enhanced Colorimetric Signal for Accurate Signal Detection in Paper-Based Biosensors.

Authors:  Dorin Harpaz; Evgeni Eltzov; Timothy S E Ng; Robert S Marks; Alfred I Y Tok
Journal:  Diagnostics (Basel)       Date:  2020-01-07

4.  The impact of grey zones on the accuracy of agreement measures for ordinal tables.

Authors:  Quoc Duyet Tran; Anil Dolgun; Haydar Demirhan
Journal:  BMC Med Res Methodol       Date:  2021-04-14       Impact factor: 4.615

5.  In vivo study of a novel, safe, rapid, and targeted red carbon dot probe for recognition of tumors with high expression of folate enzyme.

Authors:  Zhuoling Zhong; Xingying Li; Shuyao Liu; Chuanwei Zhang; Xiaoping Xu; Liyun Liao
Journal:  RSC Adv       Date:  2021-09-10       Impact factor: 4.036

6.  Rapid, quantitative and ultra-sensitive detection of cancer biomarker by a SERRS-based lateral flow immunoassay using bovine serum albumin coated Au nanorods.

Authors:  Luchun Lu; Jiangliu Yu; Xiaoxian Liu; Xingsheng Yang; Zihui Zhou; Qing Jin; Rui Xiao; Chongwen Wang
Journal:  RSC Adv       Date:  2020-01-02       Impact factor: 4.036

7.  Evaluation of the fluorescent-thin layer chromatography (f-TLC) for the diagnosis of Buruli ulcer disease in Ghana.

Authors:  Richard K Amewu; Gideon Atinga Akolgo; Millicent Esi Asare; Zigli Abdulai; Anthony S Ablordey; Kingsley Asiedu
Journal:  PLoS One       Date:  2022-08-02       Impact factor: 3.752

  7 in total

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