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Dynamic risk profiling using serial tumor biomarkers for personalized outcome Prediction

Accurate prediction of long-term outcomes remains a challenge in the care of cancer patients. Due to the difficulty of serial tumor sampling, previous prediction tools have focused on pretreatment factors. However, emerging non-invasive diagnostics have increased opportunities for serial tumor asses...

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Bibliografische gegevens
Gepubliceerd in:Cell
Hoofdauteurs: Kurtz, David M., Esfahani, Mohammad S., Scherer, Florian, Soo, Joanne, Jin, Michael C., Liu, Chih Long, Newman, Aaron M., Dührsen, Ulrich, Hüttmann, Andreas, Casasnovas, Olivier, Westin, Jason R., Ritgen, Matthais, Böttcher, Sebastian, Langerak, Anton W., Roschewski, Mark, Wilson, Wyndham H., Gaidano, Gianluca, Rossi, Davide, Bahlo, Jasmin, Hallek, Michael, Tibshirani, Robert, Diehn, Maximilian, Alizadeh, Ash A.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2019
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7380118/
https://ncbi.nlm.nih.gov/pubmed/31280963
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cell.2019.06.011
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