Literature DB >> 35304118

Performance characteristics of the BRAHMS KRYPTOR automated squamous cell carcinoma antigen assay.

Erica M Fatica1, Bethany J Larson2, Alicia Algeciras-Schimnich2, Joshua A Bornhorst3.   

Abstract

BACKGROUND: Squamous cell carcinoma antigen (SCCA) is a glycoprotein biomarker for squamous cell carcinoma (SCC). SCCA elevations have also been noted in other conditions. The purpose of this study was to evaluate the analytical and clinical performance of an automated SCCA homogenous immunofluorescent assay (BRAHMS KRYPTOR).
METHODS: Reference intervals were determined using 119 samples from healthy donors. To assess clinical performance, samples were collected from patients with cervical (n = 12), head and neck (n = 23), lung (n = 14), or cutaneous (n = 11) SCC in addition to hepatocellular carcinoma, psoriasis, or atopic dermatitis.
RESULTS: Upper 95th percentile sex-specific reference intervals were 2.00 μg/L for males and 1.67 μg/L for females. Intra- and inter-assay CVs were less than 5%. Comparison of the BRAHMS KRYPTOR to an ELISA SCCA immunoassay exhibited a correlation coefficient of 0.8809. The mean sensitivity for all SCC positive patients was 23.3%. With the exception of psoriasis (58.6%) specificity exceeded 95% for the non-SCC populations.
CONCLUSION: The BRAHMS KRYPTOR SCCA assay showed good analytical performance and acceptable overall clinical specificity. Consistent with previous studies, the sensitivity of SCCA for SCC was low. In the absence of other robust circulating markers, SCCA remains an imperfect yet useful tool in the evaluation of SCC.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Immunofluorescent assay; Method validation; SCCA; Squamous cell carcinoma; Squamous cell carcinoma antigen; Tumor markers

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Year:  2022        PMID: 35304118     DOI: 10.1016/j.jim.2022.113257

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  1 in total

1.  Miniaturized microfluidic-based nucleic acid analyzer to identify new biomarkers of biopsy lung cancer samples for subtyping.

Authors:  Xue Lin; Zi-Hao Bo; Wenqi Lv; Zhanping Zhou; Qin Huang; Wenli Du; Xiaohui Shan; Rongxin Fu; Xiangyu Jin; Han Yang; Ya Su; Kai Jiang; Yuchen Guo; Hongwu Wang; Feng Xu; Guoliang Huang
Journal:  Front Chem       Date:  2022-08-29       Impact factor: 5.545

  1 in total

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