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Cancer organoid-based diagnosis reactivity prediction (CODRP) index-based anticancer drug sensitivity test in ALK-rearrangement positive non-small cell lung cancer (NSCLC)

BACKGROUND: Recently, cancer organoid-based drug sensitivity tests have been studied to predict patient responses to anticancer drugs. The area under curve (AUC) or IC(50) value of the dose-response curve (DRC) is used to differentiate between sensitive and resistant patient‘s groups. This study pro...

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Autores principales: Lee, Sang-Yun, Cho, Hyeong Jun, Choi, Jimin, Ku, Bosung, Moon, Seok Whan, Moon, Mi Hyoung, Kim, Kyung Soo, Hyun, Kwanyong, Kim, Tae-Jung, Sung, Yeoun Eun, Hwang, Yongki, Lee, Eunyoung, Ahn, Dong Hyuck, Choi, Joon Young, Lim, Jeong Uk, Park, Chan Kwon, Kim, Sung Won, Kim, Seung Joon, Koo, In-Seong, Jung, Woo Seok, Lee, Sang-Hyun, Yeo, Chang Dong, Lee, Dong Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664561/
https://www.ncbi.nlm.nih.gov/pubmed/37993887
http://dx.doi.org/10.1186/s13046-023-02899-4
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author Lee, Sang-Yun
Cho, Hyeong Jun
Choi, Jimin
Ku, Bosung
Moon, Seok Whan
Moon, Mi Hyoung
Kim, Kyung Soo
Hyun, Kwanyong
Kim, Tae-Jung
Sung, Yeoun Eun
Hwang, Yongki
Lee, Eunyoung
Ahn, Dong Hyuck
Choi, Joon Young
Lim, Jeong Uk
Park, Chan Kwon
Kim, Sung Won
Kim, Seung Joon
Koo, In-Seong
Jung, Woo Seok
Lee, Sang-Hyun
Yeo, Chang Dong
Lee, Dong Woo
author_facet Lee, Sang-Yun
Cho, Hyeong Jun
Choi, Jimin
Ku, Bosung
Moon, Seok Whan
Moon, Mi Hyoung
Kim, Kyung Soo
Hyun, Kwanyong
Kim, Tae-Jung
Sung, Yeoun Eun
Hwang, Yongki
Lee, Eunyoung
Ahn, Dong Hyuck
Choi, Joon Young
Lim, Jeong Uk
Park, Chan Kwon
Kim, Sung Won
Kim, Seung Joon
Koo, In-Seong
Jung, Woo Seok
Lee, Sang-Hyun
Yeo, Chang Dong
Lee, Dong Woo
author_sort Lee, Sang-Yun
collection PubMed
description BACKGROUND: Recently, cancer organoid-based drug sensitivity tests have been studied to predict patient responses to anticancer drugs. The area under curve (AUC) or IC(50) value of the dose-response curve (DRC) is used to differentiate between sensitive and resistant patient‘s groups. This study proposes a multi-parameter analysis method (cancer organoid-based diagnosis reactivity prediction, CODRP) that considers the cancer stage and cancer cell growth rate, which represent the severity of cancer patients, in the sensitivity test. METHODS: On the CODRP platform, patient-derived organoids (PDOs) that recapitulate patients with lung cancer were implemented by applying a mechanical dissociation method capable of high yields and proliferation rates. A disposable nozzle-type cell spotter with efficient high-throughput screening (HTS) has also been developed to dispense a very small number of cells due to limited patient cells. A drug sensitivity test was performed using PDO from the patient tissue and the primary cancer characteristics of PDOs were confirmed by pathological comparision with tissue slides. RESULTS: The conventional index of drug sensitivity is the AUC of the DRC. In this study, the CODRP index for drug sensitivity test was proposed through multi-parameter analyses considering cancer cell proliferation rate, the cancer diagnosis stage, and AUC values. We tested PDOs from eight patients with lung cancer to verify the CODRP index. According to the anaplastic lymphoma kinase (ALK) rearrangement status, the conventional AUC index for the three ALK-targeted drugs (crizotinib, alectinib, and brigatinib) did not classify into sensitive and resistant groups. The proposed CODRP index-based drug sensitivity test classified ALK-targeted drug responses according to ALK rearrangement status and was verified to be consistent with the clinical drug treatment response. CONCLUSIONS: Therefore, the PDO-based HTS and CODRP index drug sensitivity tests described in this paper may be useful for predicting and analyzing promising anticancer drug efficacy for patients with lung cancer and can be applied to a precision medicine platform. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13046-023-02899-4.
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spelling pubmed-106645612023-11-22 Cancer organoid-based diagnosis reactivity prediction (CODRP) index-based anticancer drug sensitivity test in ALK-rearrangement positive non-small cell lung cancer (NSCLC) Lee, Sang-Yun Cho, Hyeong Jun Choi, Jimin Ku, Bosung Moon, Seok Whan Moon, Mi Hyoung Kim, Kyung Soo Hyun, Kwanyong Kim, Tae-Jung Sung, Yeoun Eun Hwang, Yongki Lee, Eunyoung Ahn, Dong Hyuck Choi, Joon Young Lim, Jeong Uk Park, Chan Kwon Kim, Sung Won Kim, Seung Joon Koo, In-Seong Jung, Woo Seok Lee, Sang-Hyun Yeo, Chang Dong Lee, Dong Woo J Exp Clin Cancer Res Research BACKGROUND: Recently, cancer organoid-based drug sensitivity tests have been studied to predict patient responses to anticancer drugs. The area under curve (AUC) or IC(50) value of the dose-response curve (DRC) is used to differentiate between sensitive and resistant patient‘s groups. This study proposes a multi-parameter analysis method (cancer organoid-based diagnosis reactivity prediction, CODRP) that considers the cancer stage and cancer cell growth rate, which represent the severity of cancer patients, in the sensitivity test. METHODS: On the CODRP platform, patient-derived organoids (PDOs) that recapitulate patients with lung cancer were implemented by applying a mechanical dissociation method capable of high yields and proliferation rates. A disposable nozzle-type cell spotter with efficient high-throughput screening (HTS) has also been developed to dispense a very small number of cells due to limited patient cells. A drug sensitivity test was performed using PDO from the patient tissue and the primary cancer characteristics of PDOs were confirmed by pathological comparision with tissue slides. RESULTS: The conventional index of drug sensitivity is the AUC of the DRC. In this study, the CODRP index for drug sensitivity test was proposed through multi-parameter analyses considering cancer cell proliferation rate, the cancer diagnosis stage, and AUC values. We tested PDOs from eight patients with lung cancer to verify the CODRP index. According to the anaplastic lymphoma kinase (ALK) rearrangement status, the conventional AUC index for the three ALK-targeted drugs (crizotinib, alectinib, and brigatinib) did not classify into sensitive and resistant groups. The proposed CODRP index-based drug sensitivity test classified ALK-targeted drug responses according to ALK rearrangement status and was verified to be consistent with the clinical drug treatment response. CONCLUSIONS: Therefore, the PDO-based HTS and CODRP index drug sensitivity tests described in this paper may be useful for predicting and analyzing promising anticancer drug efficacy for patients with lung cancer and can be applied to a precision medicine platform. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13046-023-02899-4. BioMed Central 2023-11-22 /pmc/articles/PMC10664561/ /pubmed/37993887 http://dx.doi.org/10.1186/s13046-023-02899-4 Text en © The Author(s) 2023, corrected publication 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lee, Sang-Yun
Cho, Hyeong Jun
Choi, Jimin
Ku, Bosung
Moon, Seok Whan
Moon, Mi Hyoung
Kim, Kyung Soo
Hyun, Kwanyong
Kim, Tae-Jung
Sung, Yeoun Eun
Hwang, Yongki
Lee, Eunyoung
Ahn, Dong Hyuck
Choi, Joon Young
Lim, Jeong Uk
Park, Chan Kwon
Kim, Sung Won
Kim, Seung Joon
Koo, In-Seong
Jung, Woo Seok
Lee, Sang-Hyun
Yeo, Chang Dong
Lee, Dong Woo
Cancer organoid-based diagnosis reactivity prediction (CODRP) index-based anticancer drug sensitivity test in ALK-rearrangement positive non-small cell lung cancer (NSCLC)
title Cancer organoid-based diagnosis reactivity prediction (CODRP) index-based anticancer drug sensitivity test in ALK-rearrangement positive non-small cell lung cancer (NSCLC)
title_full Cancer organoid-based diagnosis reactivity prediction (CODRP) index-based anticancer drug sensitivity test in ALK-rearrangement positive non-small cell lung cancer (NSCLC)
title_fullStr Cancer organoid-based diagnosis reactivity prediction (CODRP) index-based anticancer drug sensitivity test in ALK-rearrangement positive non-small cell lung cancer (NSCLC)
title_full_unstemmed Cancer organoid-based diagnosis reactivity prediction (CODRP) index-based anticancer drug sensitivity test in ALK-rearrangement positive non-small cell lung cancer (NSCLC)
title_short Cancer organoid-based diagnosis reactivity prediction (CODRP) index-based anticancer drug sensitivity test in ALK-rearrangement positive non-small cell lung cancer (NSCLC)
title_sort cancer organoid-based diagnosis reactivity prediction (codrp) index-based anticancer drug sensitivity test in alk-rearrangement positive non-small cell lung cancer (nsclc)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10664561/
https://www.ncbi.nlm.nih.gov/pubmed/37993887
http://dx.doi.org/10.1186/s13046-023-02899-4
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