Journal Article

DKFZ-2026-00402

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A proteomics approach to identify predictive blood biomarkers for pleural mesothelioma in prospective cohorts.

Herman, E. J. ; Allione, A. ; Viberti, C. ; Manfredi, M. ; Russo, A. ; Sana-Hafeez, K. ; Kaiser, N. ; Johnen, G. ; Brüning, T. ; Mirabelli, D. ; Dianzani, I. ; Agudo, A. ; Weiderpass, E. ; Simeon, V. ; Kaaks, R.DKFZ* ; Turzanski-Fortner, R.DKFZ* ; Tumino, R. ; Milani, L. ; Gálvez-Navas, J. M. ; Schulze, M. B. ; Schiborn, C. ; Castro, N. C. ; Masala, G. ; Guevara, M. ; Vineis, P. ; Casalone, E. ; Matullo, G.

2026
Springer Milano

Keyword(s): Asbestos exposure ; Early biomarkers. ; Multi-Cohort ; Pleural mesothelioma ; Prospective study ; Proteomics

Note: epub

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Contributing Institute(s):

1. Epidemiologie von Krebs (C020)
2. Krebsepidemiologie (C180)

Research Program(s):

1. 313 - Krebsrisikofaktoren und Prävention (POF4-313) (POF4-313)

Appears in the scientific report 2026

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Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; DEAL Springer ; DEAL Springer ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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