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Reinventing Nuclear Histo-score Utilizing Inherent Morphologic Cutoffs: Blue-brown Color H-score (BBC-HS)

Immunohistochemistry (IHC) is a testing methodology that is widely used for large number of diagnostic, prognostic, and predictive biomarkers. Although IHC is a qualitative methodology, in addition to threshold-based stratification (positive vs. negative), the increasing levels of expression of some...

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Autores principales: Price, Phillipe, Ganugapati, Usharani, Gatalica, Zoran, Kakadekar, Archan, Macpherson, James, Quenneville, Louise, Rees, Henrike, Slodkowska, Elzbieta, Suresh, Janarthanee, Yu, Darryl, Lim, Hyun J., Torlakovic, Emina E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10396076/
https://www.ncbi.nlm.nih.gov/pubmed/36625446
http://dx.doi.org/10.1097/PAI.0000000000001095
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author Price, Phillipe
Ganugapati, Usharani
Gatalica, Zoran
Kakadekar, Archan
Macpherson, James
Quenneville, Louise
Rees, Henrike
Slodkowska, Elzbieta
Suresh, Janarthanee
Yu, Darryl
Lim, Hyun J.
Torlakovic, Emina E.
author_facet Price, Phillipe
Ganugapati, Usharani
Gatalica, Zoran
Kakadekar, Archan
Macpherson, James
Quenneville, Louise
Rees, Henrike
Slodkowska, Elzbieta
Suresh, Janarthanee
Yu, Darryl
Lim, Hyun J.
Torlakovic, Emina E.
author_sort Price, Phillipe
collection PubMed
description Immunohistochemistry (IHC) is a testing methodology that is widely used for large number of diagnostic, prognostic, and predictive biomarkers. Although IHC is a qualitative methodology, in addition to threshold-based stratification (positive vs. negative), the increasing levels of expression of some of these biomarkers often lead to more intense staining, which published evidence linked to specific diagnosis, prognosis, and responses to therapy. It is essential that the descriptive thresholds between positive and negative staining, as well as between frequently used graded categories of staining intensity (eg, 1+, 2+, 3+) are standardized and reproducible. Histo-score (H-score) is a frequently used scoring system that utilizes these categories. Our study introduces categorization of the cutoff points between positive and negative results and graded categories of staining intensity for nuclear IHC biomarker assays based on color interaction between hematoxylin and diaminobenzidine (DAB); the Blue-brown Color H-score (BBC-HS). Six cases of diffuse large B-cell lymphoma were stained for a nuclear marker MUM1. The staining was assessed by H-score by 12 readers. Short tutorial and illustrated instructions were provided to readers. The novel scoring system in this study uses the interaction between DAB (DAB, brown stain) and hematoxylin (blue counterstain) to set thresholds between “0” (negative nuclei), “1+” (weakly positive nuclei), “2+” (moderately positive nuclei), and “3+” (strongly positive nuclei). The readers recorded scores for 300 cells. Krippendorff alpha (K-alpha) and intraclass correlation coefficient (ICC) were calculated. We have also assessed if reliability improved when counting the first 100 cells, first 200 cells, and for the total 300 cells using K-alpha and ICC. To assess the performance of each individual reader, the mean H-score and percent positive score (PPS) for each case was calculated, and the bias was calculated between each reader’s score and the mean. K-alpha was 0.86 for H-score and 0.76 for PPS. ICC was 0.96 for H-score and 0.92 for PPS. The biases for H-score ranged from −58 to 41, whereas for PPS it ranged from −27% to 33%. Overall, most readers showed very low bias. Two readers were consistently underscoring and 2 were consistently overscoring compared with the mean. For nuclear IHC biomarker assays, our newly proposed cutoffs provide highly reliable/reproducible results between readers for positive and negative results and graded categories of staining intensity using existing morphologic parameters. BBC-HS is easy to teach and is applicable to both human eye and image analysis. BBC-HS application should facilitate the development of new reliable/reproducible scoring schemes for IHC biomarkers.
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spelling pubmed-103960762023-08-03 Reinventing Nuclear Histo-score Utilizing Inherent Morphologic Cutoffs: Blue-brown Color H-score (BBC-HS) Price, Phillipe Ganugapati, Usharani Gatalica, Zoran Kakadekar, Archan Macpherson, James Quenneville, Louise Rees, Henrike Slodkowska, Elzbieta Suresh, Janarthanee Yu, Darryl Lim, Hyun J. Torlakovic, Emina E. Appl Immunohistochem Mol Morphol Original Contributions Immunohistochemistry (IHC) is a testing methodology that is widely used for large number of diagnostic, prognostic, and predictive biomarkers. Although IHC is a qualitative methodology, in addition to threshold-based stratification (positive vs. negative), the increasing levels of expression of some of these biomarkers often lead to more intense staining, which published evidence linked to specific diagnosis, prognosis, and responses to therapy. It is essential that the descriptive thresholds between positive and negative staining, as well as between frequently used graded categories of staining intensity (eg, 1+, 2+, 3+) are standardized and reproducible. Histo-score (H-score) is a frequently used scoring system that utilizes these categories. Our study introduces categorization of the cutoff points between positive and negative results and graded categories of staining intensity for nuclear IHC biomarker assays based on color interaction between hematoxylin and diaminobenzidine (DAB); the Blue-brown Color H-score (BBC-HS). Six cases of diffuse large B-cell lymphoma were stained for a nuclear marker MUM1. The staining was assessed by H-score by 12 readers. Short tutorial and illustrated instructions were provided to readers. The novel scoring system in this study uses the interaction between DAB (DAB, brown stain) and hematoxylin (blue counterstain) to set thresholds between “0” (negative nuclei), “1+” (weakly positive nuclei), “2+” (moderately positive nuclei), and “3+” (strongly positive nuclei). The readers recorded scores for 300 cells. Krippendorff alpha (K-alpha) and intraclass correlation coefficient (ICC) were calculated. We have also assessed if reliability improved when counting the first 100 cells, first 200 cells, and for the total 300 cells using K-alpha and ICC. To assess the performance of each individual reader, the mean H-score and percent positive score (PPS) for each case was calculated, and the bias was calculated between each reader’s score and the mean. K-alpha was 0.86 for H-score and 0.76 for PPS. ICC was 0.96 for H-score and 0.92 for PPS. The biases for H-score ranged from −58 to 41, whereas for PPS it ranged from −27% to 33%. Overall, most readers showed very low bias. Two readers were consistently underscoring and 2 were consistently overscoring compared with the mean. For nuclear IHC biomarker assays, our newly proposed cutoffs provide highly reliable/reproducible results between readers for positive and negative results and graded categories of staining intensity using existing morphologic parameters. BBC-HS is easy to teach and is applicable to both human eye and image analysis. BBC-HS application should facilitate the development of new reliable/reproducible scoring schemes for IHC biomarkers. Lippincott Williams & Wilkins 2023-08 2023-01-10 /pmc/articles/PMC10396076/ /pubmed/36625446 http://dx.doi.org/10.1097/PAI.0000000000001095 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Contributions
Price, Phillipe
Ganugapati, Usharani
Gatalica, Zoran
Kakadekar, Archan
Macpherson, James
Quenneville, Louise
Rees, Henrike
Slodkowska, Elzbieta
Suresh, Janarthanee
Yu, Darryl
Lim, Hyun J.
Torlakovic, Emina E.
Reinventing Nuclear Histo-score Utilizing Inherent Morphologic Cutoffs: Blue-brown Color H-score (BBC-HS)
title Reinventing Nuclear Histo-score Utilizing Inherent Morphologic Cutoffs: Blue-brown Color H-score (BBC-HS)
title_full Reinventing Nuclear Histo-score Utilizing Inherent Morphologic Cutoffs: Blue-brown Color H-score (BBC-HS)
title_fullStr Reinventing Nuclear Histo-score Utilizing Inherent Morphologic Cutoffs: Blue-brown Color H-score (BBC-HS)
title_full_unstemmed Reinventing Nuclear Histo-score Utilizing Inherent Morphologic Cutoffs: Blue-brown Color H-score (BBC-HS)
title_short Reinventing Nuclear Histo-score Utilizing Inherent Morphologic Cutoffs: Blue-brown Color H-score (BBC-HS)
title_sort reinventing nuclear histo-score utilizing inherent morphologic cutoffs: blue-brown color h-score (bbc-hs)
topic Original Contributions
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10396076/
https://www.ncbi.nlm.nih.gov/pubmed/36625446
http://dx.doi.org/10.1097/PAI.0000000000001095
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