Literature DB >> 26884957

The clinical performance evaluation of novel protein chips for eleven biomarkers detection and the diagnostic model study.

Yuan Luo1, Xu Zhu2, Pengjun Zhang2, Qian Shen3, Zi Wang1, Xinyu Wen4, Ling Wang4, Jing Gao4, Jin Dong4, Caie Yang1, Tangming Wu5, Zheng Zhu5, Yaping Tian1.   

Abstract

We aimed to develop and validate two novel protein chips, which are based on microarray chemiluminescence immunoassay and can simultaneously detected 11 biomarkers, and then to evaluate their clinical diagnostic value by comparing with the traditional methods. Protein chips were evaluated for limit of detection, specificity, common interferences, linearity, precision and accuracy. 11 biomarkers were simultaneously detected by traditional methods and protein chips in 3683 samples, which included 1723 cancer patients, 1798 benign diseases patients and 162 healthy controls. After assay validation, protein chips demonstrated high sensitivity, high specificity, good linearity, low imprecision and were free of common interferences. Compared with the traditional methods, protein chips have good correlation in the detection of all the 13 kinds of biomarkers (r≥0.935, P<0.001). For specific cancer detection, there were no statistically significant differences between the traditional method and novel protein chips, except that male protein chip showed significantly better diagnostic value on NSE detection (P=0.004) but significantly worse value on pro-GRP detection (P=0.012), female chip showed significantly better diagnostic value on pro-GRP detection (P=0.005). Furthermore, both male and female multivariate diagnostic models had significantly better diagnostic value than single detection of PGI, PG II, pro-GRP, NSE and CA125 (P<0.05). In addition, male models had significantly better diagnostic value than single CA199 and free-PSA (P<0.05), while female models observed significantly better diagnostic value than single CA724 and β-HCG (P<0.05). For total disease or cancer detection, the AUC of multivariate logistic regression for the male and female disease detection was 0.981 (95% CI: 0.975-0.987) and 0.836 (95% CI: 0.798-0.874), respectively. While, that for total cancer detection was 0.691 (95% CI: 0.666-0.717) and 0.753 (95% CI: 0.731-0.775), respectively. The new designed protein chips are simple, multiplex and reliable clinical assays and the multi-parameter diagnostic models based on them could significantly improve their clinical performance.

Entities:  

Keywords:  Cancer biomarkers; ROC curve; diagnostic tests; early detection of cancer; logistic models; protein array analysis

Year:  2015        PMID: 26884957      PMCID: PMC4723802     

Source DB:  PubMed          Journal:  Int J Clin Exp Med        ISSN: 1940-5901


  25 in total

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Review 6.  Blood autoantibodies against tumor-associated antigens as biomarkers in early detection of colorectal cancer.

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7.  An integrin-linked machinery of cytoskeletal regulation that enables experimental tumor initiation and metastatic colonization.

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8.  PSA density improves prediction of prostate cancer.

Authors:  Ashok Verma; Jennifer St Onge; Kam Dhillon; Anita Chorneyko
Journal:  Can J Urol       Date:  2014-06       Impact factor: 1.344

Review 9.  Circulating miRNAs: roles in cancer diagnosis, prognosis and therapy.

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Journal:  Adv Drug Deliv Rev       Date:  2014-09-16       Impact factor: 15.470

Review 10.  Protein microarrays: novel developments and applications.

Authors:  Luis Berrade; Angie E Garcia; Julio A Camarero
Journal:  Pharm Res       Date:  2010-11-30       Impact factor: 4.200

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