Selection of appropriate end-points (pCR vs 2yDFS) for tailoring treatments with prediction models in locally advanced rectal cancer

  • Vincenzo Valentini
  • , Ruud G.P.M. Van Stiphout
  • , Guido Lammering
  • , Maria Antonietta Gambacorta
  • , Maria C. Barba
  • , Marek Bebenek
  • , Franck Bonnetain
  • , Jean F. Bosset
  • , Krzysztof Bujko
  • , Luca Cionini
  • , Jean P. Gerard
  • , Claus Rödel
  • , Aldo Sainato
  • , Rolf Sauer
  • , Bruce D. Minsky
  • , Laurence Collette
  • , Philippe Lambin

Risultato della ricerca: Contributo in rivistaArticolo

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.
Lingua originaleInglese
pagine (da-a)302-309
Numero di pagine8
RivistaRadiotherapy and Oncology
Volume114
DOI
Stato di pubblicazionePubblicato - 2015

OSS delle Nazioni Unite

Questo processo contribuisce al raggiungimento dei seguenti obiettivi di sviluppo sostenibile

  1. SDG 3 - Salute e benessere
    SDG 3 Salute e benessere

Keywords

  • Disease-free survival
  • Pathological complete response
  • Personalized treatment
  • Prediction models
  • Rectal cancer
  • Risk ratio

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