Literature DB >> 16824284

The hook effect: a need for constant vigilance.

N Jassam1, C M Jones, T Briscoe, J H Horner.   

Abstract

The hook effect is a well-recognized problem that can occur in assays of most tumour markers, including alpha feto-protein (AFP). We present a case of hepatoblastoma in a baby. The diagnosis was delayed as a result of unrecognized 'hooking' of a very high AFP concentration in the automated immunoassay method used. The falsely low result obtained was considered normal for the patient's age and supported the diagnosis of benign haemangioendothelioma. Liaison between clinical and laboratory staff was critical in obtaining an accurate AFP result, proceeding to liver biopsy and establishing the definitive diagnosis of hepatoblastoma. While the reasons and solutions for hook effect have been well researched and published, we believe the presence of extremely high serum AFP concentration in some hepatoblastoma patients means that the hook effect remains a problem and can generate erroneously low AFP results despite assay reformulation by manufacturers. Therefore constant vigilance by laboratory staff is still needed.

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Year:  2006        PMID: 16824284     DOI: 10.1258/000456306777695726

Source DB:  PubMed          Journal:  Ann Clin Biochem        ISSN: 0004-5632            Impact factor:   2.057


  10 in total

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2.  Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors.

Authors:  Zachary S Ballard; Hyou-Arm Joung; Artem Goncharov; Jesse Liang; Karina Nugroho; Dino Di Carlo; Omai B Garner; Aydogan Ozcan
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8.  The specific seroreactivity to ∆Np73 isoforms shows higher diagnostic ability in colorectal cancer patients than the canonical p73 protein.

Authors:  María Garranzo-Asensio; Ana Guzmán-Aránguez; Carmen Povés; María Jesús Fernández-Aceñero; Ana Montero-Calle; María Ángeles Ceron; Servando Fernandez-Diez; Nuria Rodríguez; Marta Gómez de Cedrón; Ana Ramírez de Molina; Gemma Domínguez; Rodrigo Barderas
Journal:  Sci Rep       Date:  2019-09-19       Impact factor: 4.379

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Authors:  Anna K Füzéry; Joshua Levin; Maria M Chan; Daniel W Chan
Journal:  Clin Proteomics       Date:  2013-10-02       Impact factor: 3.988

10.  Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors.

Authors:  Zachary S Ballard; Hyou-Arm Joung; Artem Goncharov; Jesse Liang; Karina Nugroho; Dino Di Carlo; Omai B Garner; Aydogan Ozcan
Journal:  NPJ Digit Med       Date:  2020-05-07
  10 in total

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