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Tissue surface area and tumor cell count affect the success rate of the Oncomine Dx Target Test in the analysis of biopsy tissue samples

BACKGROUND: The Oncomine Dx Target Test (ODxTT) is a next‐generation sequencing‐based companion diagnostic test which has been recently developed; however, its analysis success rate could be improved, especially for small samples. The aim of this study was to identify the pathological factors associ...

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Autores principales: Nemoto, Daiji, Yokose, Tomoyuki, Katayama, Kayoko, Murakami, Shuji, Kato, Terufumi, Saito, Haruhiro, Suzuki, Masaki, Eriguchi, Daisuke, Samejima, Joji, Nagashima, Takuya, Ito, Hiroyuki, Yamada, Kouzo, Nakayama, Haruhiko, Masuda, Munetaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812068/
https://www.ncbi.nlm.nih.gov/pubmed/33185331
http://dx.doi.org/10.1111/1759-7714.13743
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author Nemoto, Daiji
Yokose, Tomoyuki
Katayama, Kayoko
Murakami, Shuji
Kato, Terufumi
Saito, Haruhiro
Suzuki, Masaki
Eriguchi, Daisuke
Samejima, Joji
Nagashima, Takuya
Ito, Hiroyuki
Yamada, Kouzo
Nakayama, Haruhiko
Masuda, Munetaka
author_facet Nemoto, Daiji
Yokose, Tomoyuki
Katayama, Kayoko
Murakami, Shuji
Kato, Terufumi
Saito, Haruhiro
Suzuki, Masaki
Eriguchi, Daisuke
Samejima, Joji
Nagashima, Takuya
Ito, Hiroyuki
Yamada, Kouzo
Nakayama, Haruhiko
Masuda, Munetaka
author_sort Nemoto, Daiji
collection PubMed
description BACKGROUND: The Oncomine Dx Target Test (ODxTT) is a next‐generation sequencing‐based companion diagnostic test which has been recently developed; however, its analysis success rate could be improved, especially for small samples. The aim of this study was to identify the pathological factors associated with biopsy specimens that affect the analysis success rate of ODxTT. METHODS: We retrospectively investigated 119 cases subjected to ODxTT at Kanagawa Cancer Center. Data pertaining to the results of BRAF V600E mutation analysis in ODxTT and pathological factors based on microscope slides were collected. Pathological factors including tissue surface area, tumor cell count, and tumor content rate were assessed. We constructed receiver operating characteristic curves and determined the optimal cutoff values of each pathological factor. Multivariate logistic analysis was used to identify significant factors. RESULTS: A total of 98 of 119 samples were successfully analyzed (75.6%). The tissue surface area and tumor cell count were significantly higher in the group associated with analysis success (P < 0.001 and P = 0.011, respectively), and their optimal cutoff values were 1.04 mm(2) and 375 cells, respectively. A tissue surface area > 1.04 mm(2) and tumor cell count >375 cells had a positive effect on the analysis success rate of ODxTT (odds ratio [OR] 0.10; 95% confidence interval [CI]: 0.03–0.35; P < 0.001 and OR 0.25; 95% CI: 0.07–0.90; P = 0.033, respectively). CONCLUSIONS: Selecting samples with a tissue surface area > 1.04 mm(2) and a tumor cell count >375 cells might improve the analysis success rate of ODxTT. KEY POINTS: Significant findings of the study: We found that a tissue surface area > 1.04 mm(2) and tumor cell count >375 cells had a positive effect on the analysis success rate of ODxTT in the analysis of biopsy tissue samples. What this study adds: It is sometimes necessary to assess genetic alterations with a small biopsy sample in daily practice. The criteria mentioned above will help to determine which tests should be performed, ODxTT or multiple single‐gene testing.
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spelling pubmed-78120682021-01-22 Tissue surface area and tumor cell count affect the success rate of the Oncomine Dx Target Test in the analysis of biopsy tissue samples Nemoto, Daiji Yokose, Tomoyuki Katayama, Kayoko Murakami, Shuji Kato, Terufumi Saito, Haruhiro Suzuki, Masaki Eriguchi, Daisuke Samejima, Joji Nagashima, Takuya Ito, Hiroyuki Yamada, Kouzo Nakayama, Haruhiko Masuda, Munetaka Thorac Cancer Original Articles BACKGROUND: The Oncomine Dx Target Test (ODxTT) is a next‐generation sequencing‐based companion diagnostic test which has been recently developed; however, its analysis success rate could be improved, especially for small samples. The aim of this study was to identify the pathological factors associated with biopsy specimens that affect the analysis success rate of ODxTT. METHODS: We retrospectively investigated 119 cases subjected to ODxTT at Kanagawa Cancer Center. Data pertaining to the results of BRAF V600E mutation analysis in ODxTT and pathological factors based on microscope slides were collected. Pathological factors including tissue surface area, tumor cell count, and tumor content rate were assessed. We constructed receiver operating characteristic curves and determined the optimal cutoff values of each pathological factor. Multivariate logistic analysis was used to identify significant factors. RESULTS: A total of 98 of 119 samples were successfully analyzed (75.6%). The tissue surface area and tumor cell count were significantly higher in the group associated with analysis success (P < 0.001 and P = 0.011, respectively), and their optimal cutoff values were 1.04 mm(2) and 375 cells, respectively. A tissue surface area > 1.04 mm(2) and tumor cell count >375 cells had a positive effect on the analysis success rate of ODxTT (odds ratio [OR] 0.10; 95% confidence interval [CI]: 0.03–0.35; P < 0.001 and OR 0.25; 95% CI: 0.07–0.90; P = 0.033, respectively). CONCLUSIONS: Selecting samples with a tissue surface area > 1.04 mm(2) and a tumor cell count >375 cells might improve the analysis success rate of ODxTT. KEY POINTS: Significant findings of the study: We found that a tissue surface area > 1.04 mm(2) and tumor cell count >375 cells had a positive effect on the analysis success rate of ODxTT in the analysis of biopsy tissue samples. What this study adds: It is sometimes necessary to assess genetic alterations with a small biopsy sample in daily practice. The criteria mentioned above will help to determine which tests should be performed, ODxTT or multiple single‐gene testing. John Wiley & Sons Australia, Ltd 2020-11-13 2021-01 /pmc/articles/PMC7812068/ /pubmed/33185331 http://dx.doi.org/10.1111/1759-7714.13743 Text en © 2020 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Nemoto, Daiji
Yokose, Tomoyuki
Katayama, Kayoko
Murakami, Shuji
Kato, Terufumi
Saito, Haruhiro
Suzuki, Masaki
Eriguchi, Daisuke
Samejima, Joji
Nagashima, Takuya
Ito, Hiroyuki
Yamada, Kouzo
Nakayama, Haruhiko
Masuda, Munetaka
Tissue surface area and tumor cell count affect the success rate of the Oncomine Dx Target Test in the analysis of biopsy tissue samples
title Tissue surface area and tumor cell count affect the success rate of the Oncomine Dx Target Test in the analysis of biopsy tissue samples
title_full Tissue surface area and tumor cell count affect the success rate of the Oncomine Dx Target Test in the analysis of biopsy tissue samples
title_fullStr Tissue surface area and tumor cell count affect the success rate of the Oncomine Dx Target Test in the analysis of biopsy tissue samples
title_full_unstemmed Tissue surface area and tumor cell count affect the success rate of the Oncomine Dx Target Test in the analysis of biopsy tissue samples
title_short Tissue surface area and tumor cell count affect the success rate of the Oncomine Dx Target Test in the analysis of biopsy tissue samples
title_sort tissue surface area and tumor cell count affect the success rate of the oncomine dx target test in the analysis of biopsy tissue samples
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812068/
https://www.ncbi.nlm.nih.gov/pubmed/33185331
http://dx.doi.org/10.1111/1759-7714.13743
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