Περίληψη:
Importance: There is an urgent need to improve lung cancer risk assessment because current screening criteria miss a large proportion of cases. Objective: To investigate whether a lung cancer risk prediction model based on a panel of selected circulating protein biomarkers can outperform a traditional risk prediction model and current US screening criteria. Design, Setting, and Participants: Prediagnostic samples from 108 ever-smoking patients with lung cancer diagnosed within 1 year after blood collection and samples from 216 smoking-matched controls from the Carotene and Retinol Efficacy Trial (CARET) cohort were used to develop a biomarker risk score based on 4 proteins (cancer antigen 125 [CA125], carcinoembryonic antigen [CEA], cytokeratin-19 fragment [CYFRA 21-1], and the precursor form of surfactant protein B [Pro-SFTPB]). The biomarker score was subsequently validated blindly using absolute risk estimates among 63 ever-smoking patients with lung cancer diagnosed within 1 year after blood collection and 90 matched controls from 2 large European population-based cohorts, the European Prospective Investigation into Cancer and Nutrition (EPIC) and the Northern Sweden Health and Disease Study (NSHDS). Main Outcomes and Measures: Model validity in discriminating between future lung cancer cases and controls. Discrimination estimates were weighted to reflect the background populations of EPIC and NSHDS validation studies (area under the receiver-operating characteristics curve [AUC], sensitivity, and specificity). Results: In the validation study of 63 ever-smoking patients with lung cancer and 90 matched controls (mean [SD] age, 57.7 [8.7] years; 68.6% men) from EPIC and NSHDS, an integrated risk prediction model that combined smoking exposure with the biomarker score yielded an AUC of 0.83 (95% CI, 0.76-0.90) compared with 0.73 (95% CI, 0.64-0.82) for a model based on smoking exposure alone (P =.003 for difference in AUC). At an overall specificity of 0.83, based on the US Preventive Services Task Force screening criteria, the sensitivity of the integrated risk prediction (biomarker) model was 0.63 compared with 0.43 for the smoking model. Conversely, at an overall sensitivity of 0.42, based on the US Preventive Services Task Force screening criteria, the integrated risk prediction model yielded a specificity of 0.95 compared with 0.86 for the smoking model. Conclusions and Relevance: This study provided a proof of principle in showing that a panel of circulating protein biomarkers may improve lung cancer risk assessment and may be used to define eligibility for computed tomography screening.. © 2018 American Medical Association. All rights reserved.
Συγγραφείς:
Guida, F.
Sun, N.
Bantis, L.E.
Muller, D.C.
Li, P.
Taguchi, A.
Dhillon, D.
Kundnani, D.L.
Patel, N.J.
Yan, Q.
Byrnes, G.
Moons, K.G.M.
Tjønneland, A.
Panico, S.
Agnoli, C.
Vineis, P.
Palli, D.
Bueno-De-Mesquita, B.
Peeters, P.H.
Agudo, A.
Huerta, J.M.
Dorronsoro, M.
Barranco, M.R.
Ardanaz, E.
Travis, R.C.
Byrne, K.S.
Boeing, H.
Steffen, A.
Kaaks, R.
Hüsing, A.
Trichopoulou, A.
Lagiou, P.
La Vecchia, C.
Severi, G.
Boutron-Ruault, M.-C.
Sandanger, T.M.
Weiderpass, E.
Nøst, T.H.
Tsilidis, K.
Riboli, E.
Grankvist, K.
Johansson, M.
Goodman, G.E.
Feng, Z.
Brennan, P.
Johansson, M.
Hanash, S.M.
Λέξεις-κλειδιά:
biological marker; cancer antigen 125; carcinoembryonic antigen; cytokeratin 19 fragment; surfactant protein B; tumor antigen; tumor protein; unclassified drug; CA 125 antigen; carcinoembryonic antigen; cytokeratin 19; membrane protein; MUC16 protein, human; protein precursor; proteolipid; surfactant protein B propeptide; tumor marker, adult; aged; area under the curve; Article; blood sampling; cancer risk; cancer screening; cohort analysis; computer assisted tomography; controlled study; female; human; lung cancer; major clinical study; male; middle aged; prediction; receiver operating characteristic; risk assessment; sensitivity and specificity; smoking; United States; validation study; blood; computed tomography scanner; lung tumor; mass screening; procedures; prospective study; risk factor; very elderly, Aged; Aged, 80 and over; Biomarkers, Tumor; CA-125 Antigen; Carcinoembryonic Antigen; Female; Humans; Keratin-19; Lung Neoplasms; Male; Mass Screening; Membrane Proteins; Middle Aged; Non-Smokers; Prospective Studies; Protein Precursors; Proteolipids; Risk Assessment; Risk Factors; ROC Curve; Tomography Scanners, X-Ray Computed
