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논문 기본 정보

자료유형
학술저널
저자정보
Kim Ryul (Inocras) Kim Seokhwi (Ajou University School of Medicine) Oh Brian Baek-Lok (Inocras) Yu Woo Sik (Ajou University School of Medicine) Kim Chang Woo (Ajou University School of Medicine) Hur Hoon (Ajou University School of Medicine) Son Sang-Yong (Ajou University School of Medicine) Yang Min Jae (Ajou University School of Medicine) Cho Dae Sung (Ajou University School of Medicine) Ha Taeyang (Ajou University School of Medicine) Heo Subin (Ajou University School of Medicine) Jang Jeon Yeob (Ajou University School of Medicine) Yun Jae Sung (Ajou University School of Medicine) Kwack Kyu-Sung (Ajou University School of Medicine) Kim Jai Keun (Ajou University School of Medicine) Huh Jimi (Ajou University School of Medicine) Lim Sun Gyo (Ajou University School of Medicine) Han Sang-Uk (Ajou University School of Medicine) Lee Hyun Woo (Ajou University School of Medicine) Park Ji Eun (Ajou University School of Medicine) Kim Chul-Ho (Ajou University School of Medicine) Roh Jin (Ajou University School of Medicine) Koh Young Wha (Ajou University School of Medicine) Lee Dakeun (Ajou University School of Medicine) Kim Jang-Hee (Ajou University School of Medicine) Lee Gil Ho (Ajou University School of Medicine) Noh Choong-Kyun (Ajou University School of Medicine) Jung Yun Jung (Ajou University School of Medicine) Park Ji Won (Ajou University School of Medicine) Sheen Seungsoo (Ajou University School of Medicine) Ahn Mi Sun (Ajou University School of Medicine) Choi Yong Won (Ajou University School of Medicine) Kim Tae-Hwan (Ajou University School of Medicine) Kang Seok Yun (Ajou University School of Medicine) Choi Jin-Hyuk (Ajou University School of Medicine) Baek Soo Yeon (Ajou University School of Medicine) Lee Kee Myung (Ajou University School of Medicine) Il Kim Sun (Ajou University School of Medicine) Noh Sung Hyun (Ajou University School of Medicine) Kim Se-Hyuk (Ajou University School of Medicine) Hwang Hyemin (Ajou University School of Medicine) Joo Eunjung (Inocras) Lee Shinjung (Inocras) Shin Jong-Yeon (Inocras) Yun Ji-Young (Inocras) Park Junggil (Inocras) Yi Kijong (Inocras) Kwon Youngoh (Inocras) Lee Won-Chul (Inocras) Park Hansol (Inocras) Lim Joonoh (Inocras) Yi Boram (Inocras) Koo Jaemo (Inocras) Koh June-Young (Inocras) Lee Sangmoon (Inocras) Lee Yuna (Inocras) Lee Bo-Rahm (Inocras) Connolly-Strong Erin (Inocras) Ju Young Seok (Inocras) Kwon Minsuk (Ajou University School of Medicine)
저널정보
대한생화학·분자생물학회 Experimental and Molecular Medicine Experimental and Molecular Medicine Vol.56
발행연도
2024.8
수록면
1,856 - 1,868 (13page)
DOI
10.1038/s12276-024-01288-x

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초록· 키워드

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Genomic alterations in tumors play a pivotal role in determining their clinical trajectory and responsiveness to treatment. Targeted panel sequencing (TPS) has served as a key clinical tool over the past decade, but advancements in sequencing costs and bioinformatics have now made whole-genome sequencing (WGS) a feasible single-assay approach for almost all cancer genomes in clinical settings. This paper reports on the findings of a prospective, single-center study exploring the real-world clinical utility of WGS (tumor and matched normal tissues) and has two primary objectives: (1) assessing actionability for therapeutic options and (2) providing clarity for clinical questions. Of the 120 patients with various solid cancers who were enrolled, 95 (79%) successfully received genomic reports within a median of 11 working days from sampling to reporting. Analysis of these 95 WGS reports revealed that 72% (68/95) yielded clinically relevant insights, with 69% (55/79) pertaining to therapeutic actionability and 81% (13/16) pertaining to clinical clarity. These benefits include the selection of informed therapeutics and/or active clinical trials based on the identification of driver mutations, tumor mutational burden (TMB) and mutational signatures, pathogenic germline variants that warrant genetic counseling, and information helpful for inferring cancer origin. Our findings highlight the potential of WGS as a comprehensive tool in precision oncology and suggests that it should be integrated into routine clinical practice to provide a complete image of the genomic landscape to enable tailored cancer management.

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