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Lung cancer risk discrimination of prediagnostic proteomics measurements compared with existing prediction tools.

Xiaoshuang FengWendy Yi-Ying WuJustina Ucheojor OnwukaZahra HaiderKarine AlcalaKarl Smith-ByrneHana ZahedFlorence GuidaRenwei WangJulie K BassettVictoria StevensYing WangStephanie WeinsteinNeal D FreedmanChu ChenLesley TinkerTherese Haugdahl NøstWoon-Puay KohDavid C MullerSandra Milena Colorado-YoharRosario TuminoRayjean J HungChristopher Ian AmosXihong LinXuehong ZhangAlan A ArslanMaria-José SánchezElin Pettersen SørgjerdGianluca SeveriKristian HveemPaul J BrennanArnulf LanghammerJonathan BeesleyJian-Min YuanBeatrice MelinMikael JohanssonHilary A RobbinsMattias J Johansson
Published in: Journal of the National Cancer Institute (2023)
Circulating proteins showed promise in predicting incident lung cancer and outperformed a standard risk prediction model and the commercialized EarlyCDT-Lung.
Keyphrases
  • cardiovascular disease
  • type diabetes
  • machine learning