Prediction of TKI response in EGFR-mutant lung cancer patients-derived organoids using malignant pleural effusion

Sang Hyun Lee, Kyuhwan Kim, Eunyoung Lee, Kyungmin Lee, Kyeong Hwan Ahn, Hansom Park, Yelim Kim, Soeun Shin, Sang Youl Jeon, Yongki Hwang, Dong Hyuck Ahn, Yong Jun Kwon, Seok Whan Moon, Mi Hyoung Moon, Kyung Soo Kim, Kwanyong Hyun, Tae Jung Kim, Yeoun Eun Sung, Joon Young Choi, Chan Kwon ParkSung Won Kim, Chang Dong Yeo, Hyun Jung Sohn, You Seok Hyun, Tai Gyu Kim, Bosung Ku*, Jeong Uk Lim*, Seung Joon Kim*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Patient-derived organoids (PDOs) are valuable in predicting response to cancer therapy. PDOs are ideal models for precision oncologists. However, their practical application in guiding timely clinical decisions remains challenging. This study focused on patients with advanced EGFR-mutated non-small cell lung cancer and employed a cancer organoid-based diagnosis reactivity prediction (CODRP)-based precision oncology platform to assess the efficacy of EGFR inhibitor treatments. CODRP was employed to evaluate EGFR-tyrosine kinase inhibitors (TKI) drug sensitivity. The results were compared to those obtained using area under the curve index. This study validated this index by testing lung cancer-derived organoids in 14 patients with lung cancer. The CODRP index-based drug sensitivity test reliably classified patient responses to EGFR-TKI treatment within a clinically suitable 10-day timeline, which aligned with clinical drug treatment responses. This approach is promising for predicting and analyzing the efficacy of anticancer, ultimately contributing to the development of a precision medicine platform.

Original languageEnglish
Article number111
Journalnpj Precision Oncology
Volume8
Issue number1
DOIs
Publication statusPublished - Dec 2024

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