Blar i forfatter "Feng, Xiaoshuang"

Viser treff 1-2 av 2

    • Assessment of the EarlyCDT-Lung test as an early biomarker of lung cancer in ever-smokers: A retrospective nested case-control study in two prospective cohorts 

      Wu, Wendy Yi-Ying; Haider, Zahra; Feng, Xiaoshuang; Heath, Alicia K.; Tjønneland, Anne; Agudo, Antonio; Masala, Giovanna; Robbins, Hilary A.; Huerta, María-José; Guevara, Marcela; Schulze, Matthias B.; Rodriguez-Barranco, Miguel; Vineis, Paolo; Tumino, Rosario; Kaaks, Rudolf; Fortner, Renée T.; Sieri, Sabina; Panico, Salvatore; Nøst, Therese Haugdahl; Sandanger, Torkjel M; Braaten, Tonje; Johansson, Mattias; Melin, Beatrice; Johansson, Mikael (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-28)
      The EarlyCDT-Lung test is a blood-based autoantibody assay intended to identify high-risk individuals for low-dose computed tomography lung cancer screening. However, there is a paucity of evidence on the performance of the EarlyCDT-Lung test in ever-smokers. We conducted a nested case-control study within two prospective cohorts to evaluate the risk-discriminatory performance of the EarlyCDT-Lung ...

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

      Feng, Xiaoshuang; Wu, Wendy Yi-Ying; Onwuka, Justina Ucheojor; Haider, Zahra; Alcala, Karine; Smith-Byrne, Karl; Zahed, Hana; Guida, Florence; Wang, Renwei; Bassett, Julie K.; Stevens, Victoria; Wang, Ying; Weinstein, Stephanie; Freedman, Neal D.; Chen, Chu; Tinker, Lesley; Nøst, Therese Haugdahl; Koh, Woon-Puay; Muller, David; Colorado-Yohar, Sandra M.; Tumino, Rosario; Hung, Rayjean J.; Amos, Christopher I.; Lin, Xihong; Zhang, Xuehong; Arslan, Alan A.; Sánchez, Maria-Jose; Sørgjerd, Elin Pettersen; Severi, Gianluca; Hveem, Kristian; Brennan, Paul; Langhammer, Arnulf; Milne, Roger L.; Yuan, Jian-Min; Melin, Beatrice; Johansson, Mikael; Robbins, Hilary A.; Johansson, Mattias (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-06-01)
      Background: We sought to develop a proteomics-based risk model for lung cancer and evaluate its risk-discriminatory performance in comparison with a smoking-based risk model (PLCOm2012) and a commercially available autoantibody biomarker test.<p><p>Methods: We designed a case-control study nested in 6 prospective cohorts, including 624 lung cancer participants who donated blood samples at most 3 ...