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 Cristina 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

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, Ruud G.P.M. Van Stiphout, Guido Lammering, Maria Antonietta Gambacorta, Maria Cristina 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 rivista › Articolo in rivista

30 Citazioni (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.

Lingua originale	English
pagine (da-a)	302-309
Numero di pagine	8
Rivista	Radiotherapy and Oncology
Volume	114
DOI	https://doi.org/10.1016/j.radonc.2015.02.001
Stato di pubblicazione	Pubblicato - 2015

Keywords

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

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10.1016/j.radonc.2015.02.001

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Valentini, V., Van Stiphout, R. G. P. M., Lammering, G., Gambacorta, M. A., Barba, M. C., Bebenek, M., Bonnetain, F., Bosset, J. F., Bujko, K., Cionini, L., Gerard, J. P., Rödel, C., Sainato, A., Sauer, R., Minsky, B. D., 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, 302-309. https://doi.org/10.1016/j.radonc.2015.02.001

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

author = "Vincenzo Valentini and {Van Stiphout}, {Ruud G.P.M.} and Guido Lammering and Gambacorta, {Maria Antonietta} and Barba, {Maria Cristina} and Marek Bebenek and Franck Bonnetain and Bosset, {Jean F.} and Krzysztof Bujko and Luca Cionini and Gerard, {Jean P.} and Claus R{\"o}del and Aldo Sainato and Rolf Sauer and Minsky, {Bruce D.} and Laurence Collette and Philippe 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",

}

Valentini, V, Van Stiphout, RGPM, Lammering, G, Gambacorta, MA, Barba, MC, Bebenek, M, Bonnetain, F, Bosset, JF, Bujko, K, Cionini, L, Gerard, JP, Rödel, C, Sainato, A, Sauer, R, Minsky, BD, 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, pagg. 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, Ruud G.P.M.

AU - Lammering, Guido

AU - Gambacorta, Maria Antonietta

AU - Barba, Maria Cristina

AU - Bebenek, Marek

AU - Bonnetain, Franck

AU - Bosset, Jean F.

AU - Bujko, Krzysztof

AU - Cionini, Luca

AU - Gerard, Jean P.

AU - Rödel, Claus

AU - Sainato, Aldo

AU - Sauer, Rolf

AU - Minsky, Bruce D.

AU - Collette, Laurence

AU - Lambin, Philippe

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 - Adult

KW - Aged

KW - Aged, 80 and over

KW - Chemotherapy, Adjuvant

KW - Combined Modality Therapy

KW - Disease-Free Survival

KW - Disease-free survival

KW - Endpoint Determination

KW - Female

KW - Humans

KW - Individualized Medicine

KW - Male

KW - Middle Aged

KW - Models, Biological

KW - Models, Statistical

KW - Neoplasm Recurrence, Local

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 - Young Adult

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - Chemotherapy, Adjuvant

KW - Combined Modality Therapy

KW - Disease-Free Survival

KW - Disease-free survival

KW - Endpoint Determination

KW - Female

KW - Humans

KW - Individualized Medicine

KW - Male

KW - Middle Aged

KW - Models, Biological

KW - Models, Statistical

KW - Neoplasm Recurrence, Local

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 - Young Adult

UR - http://hdl.handle.net/10807/68407

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

ER -

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

Abstract

Keywords

OSS delle Nazioni Unite

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