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

doi:10.1016/j.radonc.2015.02.001

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

^*Corresponding author

Research output: Contribution to journal › Article

30 Citations (Scopus)

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.

Original language	English
Pages (from-to)	302-309
Number of pages	8
Journal	Radiotherapy and Oncology
Volume	114
Issue number	3
DOIs	https://doi.org/10.1016/j.radonc.2015.02.001
Publication status	Published - 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Hematology
Oncology
Radiology Nuclear Medicine and imaging

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

Access to Document

10.1016/j.radonc.2015.02.001

Cite this

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. (2015). Selection of appropriate end-points (pCR vs 2yDFS) for tailoring treatments with prediction models in locally advanced rectal cancer. Radiotherapy and Oncology, 114(3), 302-309. https://doi.org/10.1016/j.radonc.2015.02.001

@article{3769fa925edc414fab9831de3d91ba51,

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

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.",

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, 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",

author = "Vincenzo Valentini and \{Van Stiphout\}, Rgpm and G Lammering and Gambacorta, \{Maria Antonietta\} and Barba, \{Maria Cristina\} and M Bebenek and F Bonnetain and Jf Bosset and K Bujko and L Cionini and Jp Gerard and C R{\"o}del and A Sainato and R Sauer and Bd Minsky and L Collette and P. Lambin",

year = "2015",

doi = "10.1016/j.radonc.2015.02.001",

language = "English",

volume = "114",

pages = "302--309",

journal = "Radiotherapy and Oncology",

issn = "0167-8140",

publisher = "Elsevier Ireland Ltd",

number = "3",

}

Valentini, V, Van Stiphout, R, Lammering, G, Gambacorta, MA, Barba, MC, Bebenek, M, Bonnetain, F, Bosset, J, Bujko, K, Cionini, L, Gerard, J, Rödel, C, Sainato, A, Sauer, R, Minsky, B, Collette, L & Lambin, P 2015, 'Selection of appropriate end-points (pCR vs 2yDFS) for tailoring treatments with prediction models in locally advanced rectal cancer', Radiotherapy and Oncology, vol. 114, no. 3, pp. 302-309. https://doi.org/10.1016/j.radonc.2015.02.001

TY - JOUR

T1 - Selection of appropriate end-points (pCR vs 2yDFS) for tailoring treatments with prediction models in locally advanced rectal cancer

AU - Valentini, Vincenzo

AU - Van Stiphout, Rgpm

AU - Lammering, G

AU - Gambacorta, Maria Antonietta

AU - Barba, Maria Cristina

AU - Bebenek, M

AU - Bonnetain, F

AU - Bosset, Jf

AU - Bujko, K

AU - Cionini, L

AU - Gerard, Jp

AU - Rödel, C

AU - Sainato, A

AU - Sauer, R

AU - Minsky, Bd

AU - Collette, L

AU - Lambin, P.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - 80 and over

KW - Adjuvant

KW - Adult

KW - Aged

KW - Biological

KW - Chemotherapy

KW - Combined Modality Therapy

KW - Disease-Free Survival

KW - Disease-free survival

KW - Endpoint Determination

KW - Female

KW - Humans

KW - Individualized Medicine

KW - Local

KW - Male

KW - Middle Aged

KW - Models

KW - Neoplasm Recurrence

KW - Pathological complete response

KW - Personalized treatment

KW - Prediction models

KW - Prognosis

KW - Randomized Controlled Trials as Topic

KW - Rectal Neoplasms

KW - Rectal cancer

KW - Risk ratio

KW - Statistical

KW - Young Adult

KW - 80 and over

KW - Adjuvant

KW - Adult

KW - Aged

KW - Biological

KW - Chemotherapy

KW - Combined Modality Therapy

KW - Disease-Free Survival

KW - Disease-free survival

KW - Endpoint Determination

KW - Female

KW - Humans

KW - Individualized Medicine

KW - Local

KW - Male

KW - Middle Aged

KW - Models

KW - Neoplasm Recurrence

KW - Pathological complete response

KW - Personalized treatment

KW - Prediction models

KW - Prognosis

KW - Randomized Controlled Trials as Topic

KW - Rectal Neoplasms

KW - Rectal cancer

KW - Risk ratio

KW - Statistical

KW - Young Adult

UR - https://publicatt.unicatt.it/handle/10807/68407

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84927574514&origin=inward

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84927574514&origin=inward

U2 - 10.1016/j.radonc.2015.02.001

DO - 10.1016/j.radonc.2015.02.001

M3 - Article

SN - 0167-8140

VL - 114

SP - 302

EP - 309

JO - Radiotherapy and Oncology

JF - Radiotherapy and Oncology

IS - 3

ER -

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

Abstract

UN SDGs

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this