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Selection bias due to delayed comprehensive genomic profiling in Japan

Patients with advanced cancer undergo comprehensive genomic profiling in Japan only after treatment options have been exhausted. Patients with a very poor prognosis were not able to undergo profiling tests, resulting in a selection bias called length bias, which makes accurate survival analysis impo...

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Autores principales: Tamura, Taichi, Ikegami, Masachika, Kanemasa, Yusuke, Yomota, Makiko, Furusawa, Akiko, Otani, Ryohei, Saita, Chiaki, Yonese, Ichiro, Onishi, Tomoko, Kobayashi, Hiroshi, Akiyama, Toru, Shimoyama, Tatsu, Aruga, Tomoyuki, Yamaguchi, Tatsuro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986065/
https://www.ncbi.nlm.nih.gov/pubmed/36369895
http://dx.doi.org/10.1111/cas.15651
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author Tamura, Taichi
Ikegami, Masachika
Kanemasa, Yusuke
Yomota, Makiko
Furusawa, Akiko
Otani, Ryohei
Saita, Chiaki
Yonese, Ichiro
Onishi, Tomoko
Kobayashi, Hiroshi
Akiyama, Toru
Shimoyama, Tatsu
Aruga, Tomoyuki
Yamaguchi, Tatsuro
author_facet Tamura, Taichi
Ikegami, Masachika
Kanemasa, Yusuke
Yomota, Makiko
Furusawa, Akiko
Otani, Ryohei
Saita, Chiaki
Yonese, Ichiro
Onishi, Tomoko
Kobayashi, Hiroshi
Akiyama, Toru
Shimoyama, Tatsu
Aruga, Tomoyuki
Yamaguchi, Tatsuro
author_sort Tamura, Taichi
collection PubMed
description Patients with advanced cancer undergo comprehensive genomic profiling in Japan only after treatment options have been exhausted. Patients with a very poor prognosis were not able to undergo profiling tests, resulting in a selection bias called length bias, which makes accurate survival analysis impossible. The actual impact of length bias on the overall survival of patients who have undergone profiling tests is unclear, yet appropriate methods for adjusting for length bias have not been developed. To assess the length bias in overall survival, we established a simulation‐based model for length bias adjustment. This study utilized clinicogenomic data of 8813 patients with advanced cancer who underwent profiling tests at hospitals throughout Japan between June 2019 and April 2022. Length bias was estimated by the conditional Kendall τ statistics and was significantly positive for 13 of the 15 cancer subtypes, suggesting a worse prognosis for patients who underwent profiling tests in early timing. The median overall survival time in colorectal, breast, and pancreatic cancer from the initial survival‐prolonging chemotherapy with adjustment for length bias was 937 (886–991), 1225 (1152–1368), and 585 (553–617) days, respectively (median; 95% credible interval). Adjusting for length bias made it possible to analyze the prognostic relevance of oncogenic mutations and treatments. In total, 12 tumor‐specific oncogenic mutations correlating with poor survival were detected after adjustment. There was no difference in survival between FOLFIRINOX (leucovorin, fluorouracil, irinotecan, and oxaliplatin) or gemcitabine with nab‐paclitaxel‐treated groups as first‐line chemotherapy for pancreatic cancer. Adjusting for length bias is an essential part of utilizing real‐world clinicogenomic data.
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spelling pubmed-99860652023-03-07 Selection bias due to delayed comprehensive genomic profiling in Japan Tamura, Taichi Ikegami, Masachika Kanemasa, Yusuke Yomota, Makiko Furusawa, Akiko Otani, Ryohei Saita, Chiaki Yonese, Ichiro Onishi, Tomoko Kobayashi, Hiroshi Akiyama, Toru Shimoyama, Tatsu Aruga, Tomoyuki Yamaguchi, Tatsuro Cancer Sci ORIGINAL ARTICLES Patients with advanced cancer undergo comprehensive genomic profiling in Japan only after treatment options have been exhausted. Patients with a very poor prognosis were not able to undergo profiling tests, resulting in a selection bias called length bias, which makes accurate survival analysis impossible. The actual impact of length bias on the overall survival of patients who have undergone profiling tests is unclear, yet appropriate methods for adjusting for length bias have not been developed. To assess the length bias in overall survival, we established a simulation‐based model for length bias adjustment. This study utilized clinicogenomic data of 8813 patients with advanced cancer who underwent profiling tests at hospitals throughout Japan between June 2019 and April 2022. Length bias was estimated by the conditional Kendall τ statistics and was significantly positive for 13 of the 15 cancer subtypes, suggesting a worse prognosis for patients who underwent profiling tests in early timing. The median overall survival time in colorectal, breast, and pancreatic cancer from the initial survival‐prolonging chemotherapy with adjustment for length bias was 937 (886–991), 1225 (1152–1368), and 585 (553–617) days, respectively (median; 95% credible interval). Adjusting for length bias made it possible to analyze the prognostic relevance of oncogenic mutations and treatments. In total, 12 tumor‐specific oncogenic mutations correlating with poor survival were detected after adjustment. There was no difference in survival between FOLFIRINOX (leucovorin, fluorouracil, irinotecan, and oxaliplatin) or gemcitabine with nab‐paclitaxel‐treated groups as first‐line chemotherapy for pancreatic cancer. Adjusting for length bias is an essential part of utilizing real‐world clinicogenomic data. John Wiley and Sons Inc. 2022-11-27 /pmc/articles/PMC9986065/ /pubmed/36369895 http://dx.doi.org/10.1111/cas.15651 Text en © 2022 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle ORIGINAL ARTICLES
Tamura, Taichi
Ikegami, Masachika
Kanemasa, Yusuke
Yomota, Makiko
Furusawa, Akiko
Otani, Ryohei
Saita, Chiaki
Yonese, Ichiro
Onishi, Tomoko
Kobayashi, Hiroshi
Akiyama, Toru
Shimoyama, Tatsu
Aruga, Tomoyuki
Yamaguchi, Tatsuro
Selection bias due to delayed comprehensive genomic profiling in Japan
title Selection bias due to delayed comprehensive genomic profiling in Japan
title_full Selection bias due to delayed comprehensive genomic profiling in Japan
title_fullStr Selection bias due to delayed comprehensive genomic profiling in Japan
title_full_unstemmed Selection bias due to delayed comprehensive genomic profiling in Japan
title_short Selection bias due to delayed comprehensive genomic profiling in Japan
title_sort selection bias due to delayed comprehensive genomic profiling in japan
topic ORIGINAL ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986065/
https://www.ncbi.nlm.nih.gov/pubmed/36369895
http://dx.doi.org/10.1111/cas.15651
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