Salta alla navigazione principale Salta alla ricerca Salta al contenuto principale

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

  • Vincenzo Valentini
  • , Rgpm Van Stiphout*
  • , G Lammering
  • , Maria Antonietta Gambacorta
  • , Maria Cristina Barba
  • , M Bebenek
  • , F Bonnetain
  • , Jf Bosset
  • , K Bujko
  • , L Cionini
  • , Jp Gerard
  • , C Rödel
  • , A Sainato
  • , R Sauer
  • , Bd Minsky
  • , L Collette
  • , P. Lambin
  • *Autore corrispondente per questo lavoro

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
Numero di pubblicazione3
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

All Science Journal Classification (ASJC) codes

  • Ematologia
  • Oncologia
  • Radiologia, Medicina Nucleare e Diagnostica per Immagini

Keywords

  • 80 and over
  • Adjuvant
  • Adult
  • Aged
  • Biological
  • Chemotherapy
  • Combined Modality Therapy
  • Disease-Free Survival
  • Disease-free survival
  • Endpoint Determination
  • Female
  • Humans
  • Individualized Medicine
  • Local
  • Male
  • Middle Aged
  • Models
  • Neoplasm Recurrence
  • Pathological complete response
  • Personalized treatment
  • Prediction models
  • Prognosis
  • Randomized Controlled Trials as Topic
  • Rectal Neoplasms
  • Rectal cancer
  • Risk ratio
  • Statistical
  • Young Adult

Fingerprint

Entra nei temi di ricerca di 'Selection of appropriate end-points (pCR vs 2yDFS) for tailoring treatments with prediction models in locally advanced rectal cancer'. Insieme formano una fingerprint unica.

Cita questo