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A comparative study of curated contents by knowledge-based curation system in cancer clinical sequencing

Medical oncologists are challenged to personalize medicine with scientific evidence, drug approvals, and treatment guidelines based on sequencing of clinical samples using next generation sequencer (NGS). Knowledge-based curation systems have the potential to help address this challenge. We report h...

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Autores principales: Sakai, Kazuko, Takeda, Masayuki, Shimizu, Shigeki, Takahama, Takayuki, Yoshida, Takeshi, Watanabe, Satomi, Iwasa, Tsutomu, Yonesaka, Kimio, Suzuki, Shinichiro, Hayashi, Hidetoshi, Kawakami, Hisato, Nonagase, Yoshikane, Tanaka, Kaoru, Tsurutani, Junji, Saigoh, Kazumasa, Ito, Akihiko, Mitsudomi, Tetsuya, Nakagawa, Kazuhiko, Nishio, Kazuto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683116/
https://www.ncbi.nlm.nih.gov/pubmed/31383922
http://dx.doi.org/10.1038/s41598-019-47673-9
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author Sakai, Kazuko
Takeda, Masayuki
Shimizu, Shigeki
Takahama, Takayuki
Yoshida, Takeshi
Watanabe, Satomi
Iwasa, Tsutomu
Yonesaka, Kimio
Suzuki, Shinichiro
Hayashi, Hidetoshi
Kawakami, Hisato
Nonagase, Yoshikane
Tanaka, Kaoru
Tsurutani, Junji
Saigoh, Kazumasa
Ito, Akihiko
Mitsudomi, Tetsuya
Nakagawa, Kazuhiko
Nishio, Kazuto
author_facet Sakai, Kazuko
Takeda, Masayuki
Shimizu, Shigeki
Takahama, Takayuki
Yoshida, Takeshi
Watanabe, Satomi
Iwasa, Tsutomu
Yonesaka, Kimio
Suzuki, Shinichiro
Hayashi, Hidetoshi
Kawakami, Hisato
Nonagase, Yoshikane
Tanaka, Kaoru
Tsurutani, Junji
Saigoh, Kazumasa
Ito, Akihiko
Mitsudomi, Tetsuya
Nakagawa, Kazuhiko
Nishio, Kazuto
author_sort Sakai, Kazuko
collection PubMed
description Medical oncologists are challenged to personalize medicine with scientific evidence, drug approvals, and treatment guidelines based on sequencing of clinical samples using next generation sequencer (NGS). Knowledge-based curation systems have the potential to help address this challenge. We report here the results of examining the level of evidence regarding treatment approval and clinical trials between recommendations made by Watson for Genomics (WfG), QIAGEN Clinical Insight Interpret (QCII), and Oncomine knowledge-based reporter (OKR). The tumor samples obtained from the solid cancer patients between May to June 2018 at Kindai University Hospital. The formalin-fixed paraffin-embedded tumor samples (n = 31) were sequenced using Oncomine Comprehensive Assay v3. Variants including copy number alteration and gene fusions identified by the Ion reporter software were used commonly on three curation systems. Curation process of data were provided for 25 solid cancers using three curation systems independently. Concordance and distribution of curated evidence levels of variants were analyzed. As a result of sequencing analysis, nonsynonymous mutation (n = 58), gene fusion (n = 2) or copy number variants (n = 12) were detected in 25 cases, and subsequently subjected to knowledge-based curation systems (WfG, OKR, and QCII). The number of curated information in any systems was 51/72 variants. Concordance of evidence levels was 65.3% between WfG and OKR, 56.9% between WfG and QCII, and 66.7% between OKR and QCII. WfG provided great number of clinical trials for the variants. The annotation of resistance information was also observed. Larger differences were observed in clinical trial matching which could be due to differences in the filtering process among three curation systems. This study demonstrates knowledge-based curation systems (WfG, OKR, and QCII) could be helpful tool for solid cancer treatment decision making. Difference in non-concordant evidence levels was observed between three curation systems, especially in the information of clinical trials. This point will be improved by standardized filtering procedure and enriched database of clinical trials in Japan.
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spelling pubmed-66831162019-08-09 A comparative study of curated contents by knowledge-based curation system in cancer clinical sequencing Sakai, Kazuko Takeda, Masayuki Shimizu, Shigeki Takahama, Takayuki Yoshida, Takeshi Watanabe, Satomi Iwasa, Tsutomu Yonesaka, Kimio Suzuki, Shinichiro Hayashi, Hidetoshi Kawakami, Hisato Nonagase, Yoshikane Tanaka, Kaoru Tsurutani, Junji Saigoh, Kazumasa Ito, Akihiko Mitsudomi, Tetsuya Nakagawa, Kazuhiko Nishio, Kazuto Sci Rep Article Medical oncologists are challenged to personalize medicine with scientific evidence, drug approvals, and treatment guidelines based on sequencing of clinical samples using next generation sequencer (NGS). Knowledge-based curation systems have the potential to help address this challenge. We report here the results of examining the level of evidence regarding treatment approval and clinical trials between recommendations made by Watson for Genomics (WfG), QIAGEN Clinical Insight Interpret (QCII), and Oncomine knowledge-based reporter (OKR). The tumor samples obtained from the solid cancer patients between May to June 2018 at Kindai University Hospital. The formalin-fixed paraffin-embedded tumor samples (n = 31) were sequenced using Oncomine Comprehensive Assay v3. Variants including copy number alteration and gene fusions identified by the Ion reporter software were used commonly on three curation systems. Curation process of data were provided for 25 solid cancers using three curation systems independently. Concordance and distribution of curated evidence levels of variants were analyzed. As a result of sequencing analysis, nonsynonymous mutation (n = 58), gene fusion (n = 2) or copy number variants (n = 12) were detected in 25 cases, and subsequently subjected to knowledge-based curation systems (WfG, OKR, and QCII). The number of curated information in any systems was 51/72 variants. Concordance of evidence levels was 65.3% between WfG and OKR, 56.9% between WfG and QCII, and 66.7% between OKR and QCII. WfG provided great number of clinical trials for the variants. The annotation of resistance information was also observed. Larger differences were observed in clinical trial matching which could be due to differences in the filtering process among three curation systems. This study demonstrates knowledge-based curation systems (WfG, OKR, and QCII) could be helpful tool for solid cancer treatment decision making. Difference in non-concordant evidence levels was observed between three curation systems, especially in the information of clinical trials. This point will be improved by standardized filtering procedure and enriched database of clinical trials in Japan. Nature Publishing Group UK 2019-08-05 /pmc/articles/PMC6683116/ /pubmed/31383922 http://dx.doi.org/10.1038/s41598-019-47673-9 Text en © The Author(s) 2019 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/.
spellingShingle Article
Sakai, Kazuko
Takeda, Masayuki
Shimizu, Shigeki
Takahama, Takayuki
Yoshida, Takeshi
Watanabe, Satomi
Iwasa, Tsutomu
Yonesaka, Kimio
Suzuki, Shinichiro
Hayashi, Hidetoshi
Kawakami, Hisato
Nonagase, Yoshikane
Tanaka, Kaoru
Tsurutani, Junji
Saigoh, Kazumasa
Ito, Akihiko
Mitsudomi, Tetsuya
Nakagawa, Kazuhiko
Nishio, Kazuto
A comparative study of curated contents by knowledge-based curation system in cancer clinical sequencing
title A comparative study of curated contents by knowledge-based curation system in cancer clinical sequencing
title_full A comparative study of curated contents by knowledge-based curation system in cancer clinical sequencing
title_fullStr A comparative study of curated contents by knowledge-based curation system in cancer clinical sequencing
title_full_unstemmed A comparative study of curated contents by knowledge-based curation system in cancer clinical sequencing
title_short A comparative study of curated contents by knowledge-based curation system in cancer clinical sequencing
title_sort comparative study of curated contents by knowledge-based curation system in cancer clinical sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683116/
https://www.ncbi.nlm.nih.gov/pubmed/31383922
http://dx.doi.org/10.1038/s41598-019-47673-9
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