Personalized treatments based on predictions for patient outcome require early characterization of a rectal cancer patient's sensitivity to treatment. This study has two aims: (1) identify the main patterns of recurrence and response to the treatments (2) evaluate pathologic complete response (pCR) and two-year disease-free survival (2yDFS) for overall survival (OS) and their potential to be relevant intermediate endpoints to predict.
Valentini, V., Van Stiphout, R., Lammering, G., Gambacorta, M. A., Barba, M. C., Bebenek, M., Bonnetain, F., Bosset, J., Bujko, K., Cionini, L., Gerard, J., Rödel, C., Sainato, A., Sauer, R., Minsky, B., Collette, L., Lambin, P., Selection of appropriate end-points (pCR vs 2yDFS) for tailoring treatments with prediction models in locally advanced rectal cancer, <<RADIOTHERAPY AND ONCOLOGY>>, 2015; 114 (3): 302-309. [doi:10.1016/j.radonc.2015.02.001] [http://hdl.handle.net/10807/68407]
Selection of appropriate end-points (pCR vs 2yDFS) for tailoring treatments with prediction models in locally advanced rectal cancer
Valentini, Vincenzo;Gambacorta, Maria Antonietta;Barba, Maria Cristina;
2015
Abstract
Personalized treatments based on predictions for patient outcome require early characterization of a rectal cancer patient's sensitivity to treatment. This study has two aims: (1) identify the main patterns of recurrence and response to the treatments (2) evaluate pathologic complete response (pCR) and two-year disease-free survival (2yDFS) for overall survival (OS) and their potential to be relevant intermediate endpoints to predict.
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