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논문 기본 정보

자료유형
학술저널
저자정보
Kim Hyondeog (National Cancer Center) Lee Wonyeop (Research Institute of National Cancer Center) Kim Youngwook (Research Institute of National Cancer Center) Lee Sang-Jin (Research Institute of National Cancer Center) Choi Wonyoung (Research Institute of National Cancer Center) Lee Geon Kook (Research Institute of National Cancer Center) Park Seung-Jin (Korea Research Institute of Bioscience and Biotechnology) Ju Shinyeong (Korea Institute of Science and Technology) Kim Seon-Young (Korea Research Institute of Bioscience and Biotechnology (KRIBB)) Lee Cheol-Jung (Korea Institute of Science and Technology) Han Ji-Youn (Research Institute of National Cancer Center)
저널정보
대한생화학·분자생물학회 Experimental and Molecular Medicine Experimental and Molecular Medicine Vol.56
발행연도
2024.9
수록면
2,082 - 2,095 (14page)
DOI
10.1038/s12276-024-01320-0

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초록· 키워드

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Patients with lung adenocarcinoma who have never smoked (NSLA) and lack key driver mutations, such as those in the EGFR and ALK genes, face limited options for targeted therapies. They also tend to have poorer outcomes with immune checkpoint inhibitors than lung cancer patients who have a history of smoking. The proteogenomic profile of nonsmoking lung adenocarcinoma patients without these oncogenic driver mutations is poorly understood, which complicates the precise molecular classification of these cancers and highlights a significant area of unmet clinical need. This study analyzed the genome, transcriptome, and LC‒MS/MS-TMT-driven proteome data of tumors obtained from 99 Korean never-smoker lung adenocarcinoma patients. NSLA tumors without EGFR or ALK driver oncogenes were classified into four proteogenomic subgroups: proliferation, angiogenesis, immune, and metabolism subgroups. These 4 molecular subgroups were strongly associated with distinct clinical outcomes. The proliferation and angiogenesis subtypes were associated with a poorer prognosis, while the immune subtype was associated with the most favorable outcome, which was validated in an external lung cancer dataset. Genomic-wide impacts were analyzed, and significant correlations were found between copy number alterations and both the transcriptome and proteome for several genes, with enrichment in the ERBB, neurotrophin, insulin, and MAPK signaling pathways. Proteogenomic analyses suggested several targetable genes and proteins, including CDKs and ATR, as potential therapeutic targets in the proliferation subgroup. Upregulated cytokines, such as CCL5 and CXCL13, in the immune subgroup may serve as potential targets for combination immunotherapy. Our comprehensive proteogenomic analysis revealed the molecular subtypes of EGFR- and ALK-wild-type NSLA with significant unmet clinical needs.

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