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An analysis of research biopsy core variability from over 5000 prospectively collected core samples

Factors correlated with biopsy tissue adequacy and the prevalence of within-biopsy variability were evaluated. Totally, 1149 research biopsies were performed on 686 patients from which 5090 cores were assessed. Biopsy cores were reviewed for malignant percentage (estimated percentage of cells in the...

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Autores principales: Bhamidipati, Deepak, Verma, Anuj, Sui, Dawen, Maru, Dipen, Mathew, Grace, Lang, Wenhua, Posadas, Juan, Hein, Joshua, Kopetz, Scott, Futreal, Andrew, Wistuba, Ignacio I., Gupta, Sanjay, Lee, J. Jack, Overman, Michael J., Tam, Alda L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551285/
https://www.ncbi.nlm.nih.gov/pubmed/34707215
http://dx.doi.org/10.1038/s41698-021-00234-8
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author Bhamidipati, Deepak
Verma, Anuj
Sui, Dawen
Maru, Dipen
Mathew, Grace
Lang, Wenhua
Posadas, Juan
Hein, Joshua
Kopetz, Scott
Futreal, Andrew
Wistuba, Ignacio I.
Gupta, Sanjay
Lee, J. Jack
Overman, Michael J.
Tam, Alda L.
author_facet Bhamidipati, Deepak
Verma, Anuj
Sui, Dawen
Maru, Dipen
Mathew, Grace
Lang, Wenhua
Posadas, Juan
Hein, Joshua
Kopetz, Scott
Futreal, Andrew
Wistuba, Ignacio I.
Gupta, Sanjay
Lee, J. Jack
Overman, Michael J.
Tam, Alda L.
author_sort Bhamidipati, Deepak
collection PubMed
description Factors correlated with biopsy tissue adequacy and the prevalence of within-biopsy variability were evaluated. Totally, 1149 research biopsies were performed on 686 patients from which 5090 cores were assessed. Biopsy cores were reviewed for malignant percentage (estimated percentage of cells in the core that were malignant) and malignant area (estimated area occupied by malignant cells). Linear mixed models and generalized linear mixed models were used for the analysis. A total of 641 (55.8%) biopsies contained a core with <10% malignant percentage (inadequate core). The chance of an inadequate core was not influenced by core order, though the malignant area decreased with each consecutive core (p < 0.001). Younger age, bone biopsy location, appendiceal tumor pathology, and responding/stable disease prior to biopsy increased the odds of a biopsy containing zero adequate cores. Within-biopsy variability in core adequacy is prevalent and suggests the need for histological tumor quality assessment of each core in order to optimize translational analyses.
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spelling pubmed-85512852021-10-29 An analysis of research biopsy core variability from over 5000 prospectively collected core samples Bhamidipati, Deepak Verma, Anuj Sui, Dawen Maru, Dipen Mathew, Grace Lang, Wenhua Posadas, Juan Hein, Joshua Kopetz, Scott Futreal, Andrew Wistuba, Ignacio I. Gupta, Sanjay Lee, J. Jack Overman, Michael J. Tam, Alda L. NPJ Precis Oncol Article Factors correlated with biopsy tissue adequacy and the prevalence of within-biopsy variability were evaluated. Totally, 1149 research biopsies were performed on 686 patients from which 5090 cores were assessed. Biopsy cores were reviewed for malignant percentage (estimated percentage of cells in the core that were malignant) and malignant area (estimated area occupied by malignant cells). Linear mixed models and generalized linear mixed models were used for the analysis. A total of 641 (55.8%) biopsies contained a core with <10% malignant percentage (inadequate core). The chance of an inadequate core was not influenced by core order, though the malignant area decreased with each consecutive core (p < 0.001). Younger age, bone biopsy location, appendiceal tumor pathology, and responding/stable disease prior to biopsy increased the odds of a biopsy containing zero adequate cores. Within-biopsy variability in core adequacy is prevalent and suggests the need for histological tumor quality assessment of each core in order to optimize translational analyses. Nature Publishing Group UK 2021-10-27 /pmc/articles/PMC8551285/ /pubmed/34707215 http://dx.doi.org/10.1038/s41698-021-00234-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bhamidipati, Deepak
Verma, Anuj
Sui, Dawen
Maru, Dipen
Mathew, Grace
Lang, Wenhua
Posadas, Juan
Hein, Joshua
Kopetz, Scott
Futreal, Andrew
Wistuba, Ignacio I.
Gupta, Sanjay
Lee, J. Jack
Overman, Michael J.
Tam, Alda L.
An analysis of research biopsy core variability from over 5000 prospectively collected core samples
title An analysis of research biopsy core variability from over 5000 prospectively collected core samples
title_full An analysis of research biopsy core variability from over 5000 prospectively collected core samples
title_fullStr An analysis of research biopsy core variability from over 5000 prospectively collected core samples
title_full_unstemmed An analysis of research biopsy core variability from over 5000 prospectively collected core samples
title_short An analysis of research biopsy core variability from over 5000 prospectively collected core samples
title_sort analysis of research biopsy core variability from over 5000 prospectively collected core samples
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551285/
https://www.ncbi.nlm.nih.gov/pubmed/34707215
http://dx.doi.org/10.1038/s41698-021-00234-8
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