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Evaluation of pre-diagnostic blood protein measurements for predicting survival after lung cancer diagnosis

Feng, Xiaoshuang (författare)
Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
Muller, David C. (författare)
Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Department of Epidemiology and Biostatistics, School of Public Health, MRC-PHE, Centre for Environment and Health, Imperial College London, London, United Kingdom
Zahed, Hana (författare)
Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
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Alcala, Karine (författare)
Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
Guida, Florence (författare)
Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
Smith-Byrne, Karl (författare)
Cancer Epidemiology Unit, Oxford Population Health, University of Oxford, Oxford, United Kingdom
Yuan, Jian-Min (författare)
UPMC Hillman Cancer Centre, PA, Pittsburgh, United States; Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA, Pittsburgh, United States
Koh, Woon-Puay (författare)
Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A∗STAR), Singapore
Wang, Renwei (författare)
UPMC Hillman Cancer Centre, PA, Pittsburgh, United States
Milne, Roger L. (författare)
Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Australia; School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia
Bassett, Julie K. (författare)
Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
Langhammer, Arnulf (författare)
HUNT Research Center, Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Levanger, Norway; Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
Hveem, Kristian (författare)
HUNT Research Center, Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Levanger, Norway; Department of Public Health and Nursing, K.G. Jebsen Centre for Genetic Epidemiology, Norwegian University of Science and Technology, Trondheim, Norway
Stevens, Victoria L. (författare)
Rollins School of Public Health, Emory University, GA, Atlanta, United States
Wang, Ying (författare)
American Cancer Society, GA, Atlanta, United States
Johansson, Mikael (författare)
Umeå universitet,Onkologi
Tjønneland, Anne (författare)
Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark
Tumino, Rosario (författare)
Hyblean Association for Epidemiological Research, AIRE ONLUS Ragusa, Italy
Sheikh, Mahdi (författare)
Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
Johansson, Mattias (författare)
Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
Robbins, Hilary A. (författare)
Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
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 (creator_code:org_t)
Elsevier, 2023
2023
Engelska.
Ingår i: EBioMedicine. - : Elsevier. - 2352-3964. ; 92
Relaterad länk:
https://doi.org/10.1...
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https://umu.diva-por... (primary) (Raw object)
https://urn.kb.se/re...
https://doi.org/10.1...
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  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Background: To evaluate whether circulating proteins are associated with survival after lung cancer diagnosis, and whether they can improve prediction of prognosis.Methods: We measured up to 1159 proteins in blood samples from 708 participants in 6 cohorts. Samples were collected within 3 years prior to lung cancer diagnosis. We used Cox proportional hazards models to identify proteins associated with overall mortality after lung cancer diagnosis. To evaluate model performance, we used a round-robin approach in which models were fit in 5 cohorts and evaluated in the 6th cohort. Specifically, we fit a model including 5 proteins and clinical parameters and compared its performance with clinical parameters only.Findings: There were 86 proteins nominally associated with mortality (p < 0.05), but only CDCP1 remained statistically significant after accounting for multiple testing (hazard ratio per standard deviation: 1.19, 95% CI: 1.10–1.30, unadjusted p = 0.00004). The external C-index for the protein-based model was 0.63 (95% CI: 0.61–0.66), compared with 0.62 (95% CI: 0.59–0.64) for the model with clinical parameters only. Inclusion of proteins did not provide a statistically significant improvement in discrimination (C-index difference: 0.015, 95% CI: −0.003 to 0.035).Interpretation: Blood proteins measured within 3 years prior to lung cancer diagnosis were not strongly associated with lung cancer survival, nor did they importantly improve prediction of prognosis beyond clinical information.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Nyckelord

Lung cancer
Lung cancer prognosis
Lung cancer survival
Protein biomarkers

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