TY - JOUR
T1 - Mortality Benefit of a Blood-Based Biomarker Panel for Lung Cancer on the Basis of the Prostate, Lung, Colorectal, and Ovarian Cohort
AU - Irajizad, Ehsan
AU - Fahrmann, Johannes F.
AU - Marsh, Tracey
AU - Vykoukal, Jody
AU - Dennison, Jennifer B.
AU - Long, James P.
AU - Do, Kim Anh
AU - Feng, Ziding
AU - Hanash, Samir
AU - Ostrin, Edwin J.
N1 - Publisher Copyright:
© American Society of Clinical Oncology.
PY - 2023/9/20
Y1 - 2023/9/20
N2 - PURPOSETo investigate the utility of integrating a panel of circulating protein biomarkers in combination with a risk model on the basis of subject characteristics to identify individuals at high risk of harboring a lethal lung cancer.METHODSData from an established logistic regression model that combines four-marker protein panel (4MP) together with the Prostate, Lung, Colorectal, and Ovarian (PLCO) risk model (PLCOm2012) assayed in prediagnostic sera from 552 lung cancer cases and 2,193 noncases from the PLCO cohort were used in this study. Of the 552 lung cancer cases, 387 (70%) died of lung cancer. Cumulative incidence of lung cancer death and subdistributional and cause-specific hazard ratios (HRs) were calculated on the basis of 4MP + PLCOm2012 risk scores at a predefined 1.0% and 1.7% 6-year risk thresholds, which correspond to the current and former US Preventive Services Task Force screening criteria, respectively.RESULTSWhen considering cases diagnosed within 1 year of blood draw and all noncases, the area under receiver operation characteristics curve estimate of the 4MP + PLCOm2012 model for risk prediction of lung cancer death was 0.88 (95% CI, 0.86 to 0.90). The cumulative incidence of lung cancer death was statistically significantly higher in individuals with 4MP + PLCOm2012 scores above the 1.0% 6-year risk threshold (modified χ2, 166.27; P <.0001). Corresponding subdistributional and lung cancer deathâ€Â"specific HRs for test-positive cases were 9.88 (95% CI, 6.44 to 15.18) and 10.65 (95% CI, 6.93 to 16.37), respectively.CONCLUSIONThe blood-based biomarker panel in combination with PLCOm2012 identifies individuals at high risk of a lethal lung cancer.
AB - PURPOSETo investigate the utility of integrating a panel of circulating protein biomarkers in combination with a risk model on the basis of subject characteristics to identify individuals at high risk of harboring a lethal lung cancer.METHODSData from an established logistic regression model that combines four-marker protein panel (4MP) together with the Prostate, Lung, Colorectal, and Ovarian (PLCO) risk model (PLCOm2012) assayed in prediagnostic sera from 552 lung cancer cases and 2,193 noncases from the PLCO cohort were used in this study. Of the 552 lung cancer cases, 387 (70%) died of lung cancer. Cumulative incidence of lung cancer death and subdistributional and cause-specific hazard ratios (HRs) were calculated on the basis of 4MP + PLCOm2012 risk scores at a predefined 1.0% and 1.7% 6-year risk thresholds, which correspond to the current and former US Preventive Services Task Force screening criteria, respectively.RESULTSWhen considering cases diagnosed within 1 year of blood draw and all noncases, the area under receiver operation characteristics curve estimate of the 4MP + PLCOm2012 model for risk prediction of lung cancer death was 0.88 (95% CI, 0.86 to 0.90). The cumulative incidence of lung cancer death was statistically significantly higher in individuals with 4MP + PLCOm2012 scores above the 1.0% 6-year risk threshold (modified χ2, 166.27; P <.0001). Corresponding subdistributional and lung cancer deathâ€Â"specific HRs for test-positive cases were 9.88 (95% CI, 6.44 to 15.18) and 10.65 (95% CI, 6.93 to 16.37), respectively.CONCLUSIONThe blood-based biomarker panel in combination with PLCOm2012 identifies individuals at high risk of a lethal lung cancer.
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U2 - 10.1200/JCO.22.02424
DO - 10.1200/JCO.22.02424
M3 - Article
C2 - 37379494
AN - SCOPUS:85171600479
SN - 0732-183X
VL - 41
SP - 4360
EP - 4368
JO - Journal of Clinical Oncology
JF - Journal of Clinical Oncology
IS - 27
ER -