Literature DB >> 28665229

The Importance of Epitope Density in Selecting a Sensitive Positive IHC Control.

Kodela Vani1, Seshi R Sompuram1, Anika K Schaedle1, Anuradha Balasubramanian1, Monika Pilichowska2, Stephen Naber2, Jeffrey D Goldsmith3, Kueikwun G Chang4, Farzad Noubary5,6, Steven A Bogen1.   

Abstract

Clinical Immunohistochemistry (IHC) laboratories face unique challenges in performing accurate and reproducible immunostains. Among these challenges is the use of homemade controls derived from pathological discard samples. Such positive controls have an unknown number of analyte molecules per cell (epitope density). It is unclear how the lack of defined analyte concentrations affects performance of the control. To address this question, we prepared positive IHC controls ( IHControls) for human epidermal growth factor receptor type II (HER-2), estrogen receptor (ER), or progesterone receptor (PR) with well-defined, homogeneous, and reproducible analyte concentrations. Using the IHControls, we examined the effect of analyte concentration on IHC control sensitivity. IHControls and conventional tissue controls were evaluated in a series of simulated primary antibody reagent degradation experiments. The data demonstrate that the ability of a positive IHC control to reveal reagent degradation depends on (1) the analyte concentration in the control and (2) where that concentration falls on the immunostain's analytic response curve. The most sensitive positive IHC controls have analyte concentrations within or close to the immunostain's concentration-dependent response range. Strongly staining positive controls having analyte concentrations on the analytic response curve plateau are less sensitive. These findings emphasize the importance of selecting positive IHC controls that are of intermediate (rather than strong) stain intensity.

Entities:  

Keywords:  IHControl; immunohistochemistry; peptide; positive control

Mesh:

Substances:

Year:  2017        PMID: 28665229      PMCID: PMC5533270          DOI: 10.1369/0022155417714208

Source DB:  PubMed          Journal:  J Histochem Cytochem        ISSN: 0022-1554            Impact factor:   2.479


  20 in total

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Authors: 
Journal:  Fed Regist       Date:  1992-02-28

2.  Selecting antibodies to detect HER2 overexpression by immunohistochemistry in invasive mammary carcinomas.

Authors:  Agostinho Pinto Gouvêa; Fernanda Milanezi; Sandra Jean Olson; Dina Leitao; Fernando Carlos Schmitt; Helenice Gobbi
Journal:  Appl Immunohistochem Mol Morphol       Date:  2006-03

3.  Standardization in immunohistology.

Authors:  Anthony S-Y Leong; Trishe Y-M Leong
Journal:  Methods Mol Biol       Date:  2011

Review 4.  Standardization of positive controls in diagnostic immunohistochemistry: recommendations from the International Ad Hoc Expert Committee.

Authors:  Emina E Torlakovic; Søren Nielsen; Glenn Francis; John Garratt; Blake Gilks; Jeffrey D Goldsmith; Jason L Hornick; Elizabeth Hyjek; Merdol Ibrahim; Keith Miller; Eugen Petcu; Paul E Swanson; Xiaoge Zhou; Clive R Taylor; Mogens Vyberg
Journal:  Appl Immunohistochem Mol Morphol       Date:  2015-01

5.  Rabbit monoclonal antibodies: a comparative study between a novel category of immunoreagents and the corresponding mouse monoclonal antibodies.

Authors:  Sabrina Rossi; Licia Laurino; Alberto Furlanetto; Serena Chinellato; Enrico Orvieto; Fabio Canal; Fabio Facchetti; Angelo P Dei Tos
Journal:  Am J Clin Pathol       Date:  2005-08       Impact factor: 2.493

6.  Levey-Jennings Analysis Uncovers Unsuspected Causes of Immunohistochemistry Stain Variability.

Authors:  Kodela Vani; Seshi R Sompuram; Stephen P Naber; Jeffrey D Goldsmith; Regan Fulton; Steven A Bogen
Journal:  Appl Immunohistochem Mol Morphol       Date:  2016 Nov/Dec

7.  ImmunoMembrane: a publicly available web application for digital image analysis of HER2 immunohistochemistry.

Authors:  Vilppu J Tuominen; Teemu T Tolonen; Jorma Isola
Journal:  Histopathology       Date:  2012-02-01       Impact factor: 5.087

8.  The reliability of rabbit monoclonal antibodies in the immunohistochemical assessment of estrogen receptors, progesterone receptors, and HER2 in human breast carcinomas.

Authors:  Anthony Rhodes; Julia Sarson; Emma E Assam; Sarah J R Dean; Edward C Cribb; Andrew Parker
Journal:  Am J Clin Pathol       Date:  2010-10       Impact factor: 2.493

9.  HER2 evaluation using the novel rabbit monoclonal antibody SP3 and CISH in tissue microarrays of invasive breast carcinomas.

Authors:  Sara Alexandra Vinhas Ricardo; Fernanda Milanezi; Sílvia Teresa Carvalho; Dina Raquel Aguilera Leitão; Fernando Carlos Lander Schmitt
Journal:  J Clin Pathol       Date:  2006-12-08       Impact factor: 3.411

Review 10.  Getting controls under control: the time is now for immunohistochemistry.

Authors:  Emina Emilia Torlakovic; Søren Nielsen; Mogens Vyberg; Clive R Taylor
Journal:  J Clin Pathol       Date:  2015-08-18       Impact factor: 3.411

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  7 in total

1.  A Root Cause Analysis Into the High Error Rate in Clinical Immunohistochemistry.

Authors:  Steven A Bogen
Journal:  Appl Immunohistochem Mol Morphol       Date:  2019-02-22

2.  Synthetic Antigen Gels as Practical Controls for Standardized and Quantitative Immunohistochemistry.

Authors:  Kathy J Hötzel; Charles A Havnar; Hai V Ngu; Sandra Rost; Scot D Liu; Linda K Rangell; Franklin V Peale
Journal:  J Histochem Cytochem       Date:  2019-03-18       Impact factor: 2.479

3.  Development and Validation of Measurement Traceability for In Situ Immunoassays.

Authors:  Emina E Torlakovic; Seshi R Sompuram; Kodela Vani; Lili Wang; Anika K Schaedle; Paul C DeRose; Steven A Bogen
Journal:  Clin Chem       Date:  2021-04-29       Impact factor: 8.327

Review 4.  Anything You Can Do, I Can Do Better: Can Aptamers Replace Antibodies in Clinical Diagnostic Applications?

Authors:  Michelle Bauer; Mia Strom; David S Hammond; Sarah Shigdar
Journal:  Molecules       Date:  2019-11-30       Impact factor: 4.411

Review 5.  Biomarker testing in oncology - Requirements for organizing external quality assessment programs to improve the performance of laboratory testing: revision of an expert opinion paper on behalf of IQNPath ABSL.

Authors:  K Dufraing; F Fenizia; E Torlakovic; N Wolstenholme; Z C Deans; E Rouleau; M Vyberg; S Parry; E Schuuring; Elisabeth M C Dequeker
Journal:  Virchows Arch       Date:  2020-10-13       Impact factor: 4.064

6.  Digital Image Analysis and Quantitative Bead Standards in Root Cause Analysis of Immunohistochemical Staining Variability: A Real-world Example.

Authors:  Rebecca Rojansky; Seshi R Sompuram; Ellen Gomulia; Yasodha Natkunam; Megan L Troxell; Sebastian Fernandez-Pol
Journal:  Appl Immunohistochem Mol Morphol       Date:  2022-07-13

7.  Quantitative comparison of PD-L1 IHC assays against NIST standard reference material 1934.

Authors:  Seshi R Sompuram; Emina E Torlakovic; Nils A 't Hart; Kodela Vani; Steven A Bogen
Journal:  Mod Pathol       Date:  2021-08-13       Impact factor: 7.842

  7 in total

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