Cargando…

Total metabolic tumor volume as a survival predictor for patients with diffuse large B-cell lymphoma in the GOYA study

This retrospective analysis of the phase III GOYA study investigated the prognostic value of baseline metabolic tumor volume parameters and maximum standardized uptake values for overall and progression-free survival (PFS) in treatment-naïve diffuse large B-cell lymphoma. Baseline total metabolic tu...

Descripción completa

Detalles Bibliográficos
Autores principales: Kostakoglu, Lale, Mattiello, Federico, Martelli, Maurizio, Sehn, Laurie H., Belada, David, Ghiggi, Chiara, Chua, Neil, González-Barca, Eva, Hong, Xiaonan, Pinto, Antonio, Shi, Yuankai, Tatsumi, Yoichi, Bolen, Christopher, Knapp, Andrea, Sellam, Gila, Nielsen, Tina, Sahin, Deniz, Vitolo, Umberto, Trněný, Marek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Fondazione Ferrata Storti 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244811/
https://www.ncbi.nlm.nih.gov/pubmed/34407602
http://dx.doi.org/10.3324/haematol.2021.278663
_version_ 1784738605798785024
author Kostakoglu, Lale
Mattiello, Federico
Martelli, Maurizio
Sehn, Laurie H.
Belada, David
Ghiggi, Chiara
Chua, Neil
González-Barca, Eva
Hong, Xiaonan
Pinto, Antonio
Shi, Yuankai
Tatsumi, Yoichi
Bolen, Christopher
Knapp, Andrea
Sellam, Gila
Nielsen, Tina
Sahin, Deniz
Vitolo, Umberto
Trněný, Marek
author_facet Kostakoglu, Lale
Mattiello, Federico
Martelli, Maurizio
Sehn, Laurie H.
Belada, David
Ghiggi, Chiara
Chua, Neil
González-Barca, Eva
Hong, Xiaonan
Pinto, Antonio
Shi, Yuankai
Tatsumi, Yoichi
Bolen, Christopher
Knapp, Andrea
Sellam, Gila
Nielsen, Tina
Sahin, Deniz
Vitolo, Umberto
Trněný, Marek
author_sort Kostakoglu, Lale
collection PubMed
description This retrospective analysis of the phase III GOYA study investigated the prognostic value of baseline metabolic tumor volume parameters and maximum standardized uptake values for overall and progression-free survival (PFS) in treatment-naïve diffuse large B-cell lymphoma. Baseline total metabolic tumor volume (determined for tumors >1 mL using a threshold of 1.5 times the mean liver standardized uptake value +2 standard deviations), total lesion glycolysis, and maximum standardized uptake value positron emission tomography data were dichotomized based on receiver operating characteristic analysis and divided into quartiles by baseline population distribution. Of 1,418 enrolled patients, 1,305 had a baseline positron emission tomography scan with detectable lesions. Optimal cut-offs were 366 cm(3) for total metabolic tumor volume and 3,004 g for total lesion glycolysis. High total metabolic tumor volume and total lesion glycolysis predicted poorer PFS, with associations retained after adjustment for baseline and disease characteristics (high total metabolic tumor volume hazard ratio: 1.71, 95% confidence interval [CI]: 1.35– 2.18; total lesion glycolysis hazard ratio: 1.46; 95% CI: 1.15–1.86). Total metabolic tumor volume was prognostic for PFS in subgroups with International Prognostic Index scores 0–2 and 3–5, and those with different cell-of-origin subtypes. Maximum standardized uptake value had no prognostic value in this setting. High total metabolic tumor volume associated with high International Prognostic Index or non-germinal center B-cell classification identified the highest-risk cohort for unfavorable prognosis. In conclusion, baseline total metabolic tumor volume and total lesion glycolysis are independent predictors of PFS in patients with diffuse large B-cell lymphoma after first-line immunochemotherapy.
format Online
Article
Text
id pubmed-9244811
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Fondazione Ferrata Storti
record_format MEDLINE/PubMed
spelling pubmed-92448112022-07-07 Total metabolic tumor volume as a survival predictor for patients with diffuse large B-cell lymphoma in the GOYA study Kostakoglu, Lale Mattiello, Federico Martelli, Maurizio Sehn, Laurie H. Belada, David Ghiggi, Chiara Chua, Neil González-Barca, Eva Hong, Xiaonan Pinto, Antonio Shi, Yuankai Tatsumi, Yoichi Bolen, Christopher Knapp, Andrea Sellam, Gila Nielsen, Tina Sahin, Deniz Vitolo, Umberto Trněný, Marek Haematologica Article - Non-Hodgkin Lymphoma This retrospective analysis of the phase III GOYA study investigated the prognostic value of baseline metabolic tumor volume parameters and maximum standardized uptake values for overall and progression-free survival (PFS) in treatment-naïve diffuse large B-cell lymphoma. Baseline total metabolic tumor volume (determined for tumors >1 mL using a threshold of 1.5 times the mean liver standardized uptake value +2 standard deviations), total lesion glycolysis, and maximum standardized uptake value positron emission tomography data were dichotomized based on receiver operating characteristic analysis and divided into quartiles by baseline population distribution. Of 1,418 enrolled patients, 1,305 had a baseline positron emission tomography scan with detectable lesions. Optimal cut-offs were 366 cm(3) for total metabolic tumor volume and 3,004 g for total lesion glycolysis. High total metabolic tumor volume and total lesion glycolysis predicted poorer PFS, with associations retained after adjustment for baseline and disease characteristics (high total metabolic tumor volume hazard ratio: 1.71, 95% confidence interval [CI]: 1.35– 2.18; total lesion glycolysis hazard ratio: 1.46; 95% CI: 1.15–1.86). Total metabolic tumor volume was prognostic for PFS in subgroups with International Prognostic Index scores 0–2 and 3–5, and those with different cell-of-origin subtypes. Maximum standardized uptake value had no prognostic value in this setting. High total metabolic tumor volume associated with high International Prognostic Index or non-germinal center B-cell classification identified the highest-risk cohort for unfavorable prognosis. In conclusion, baseline total metabolic tumor volume and total lesion glycolysis are independent predictors of PFS in patients with diffuse large B-cell lymphoma after first-line immunochemotherapy. Fondazione Ferrata Storti 2021-08-19 /pmc/articles/PMC9244811/ /pubmed/34407602 http://dx.doi.org/10.3324/haematol.2021.278663 Text en Copyright© 2022 Ferrata Storti Foundation https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Noncommercial License (by-nc 4.0) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Article - Non-Hodgkin Lymphoma
Kostakoglu, Lale
Mattiello, Federico
Martelli, Maurizio
Sehn, Laurie H.
Belada, David
Ghiggi, Chiara
Chua, Neil
González-Barca, Eva
Hong, Xiaonan
Pinto, Antonio
Shi, Yuankai
Tatsumi, Yoichi
Bolen, Christopher
Knapp, Andrea
Sellam, Gila
Nielsen, Tina
Sahin, Deniz
Vitolo, Umberto
Trněný, Marek
Total metabolic tumor volume as a survival predictor for patients with diffuse large B-cell lymphoma in the GOYA study
title Total metabolic tumor volume as a survival predictor for patients with diffuse large B-cell lymphoma in the GOYA study
title_full Total metabolic tumor volume as a survival predictor for patients with diffuse large B-cell lymphoma in the GOYA study
title_fullStr Total metabolic tumor volume as a survival predictor for patients with diffuse large B-cell lymphoma in the GOYA study
title_full_unstemmed Total metabolic tumor volume as a survival predictor for patients with diffuse large B-cell lymphoma in the GOYA study
title_short Total metabolic tumor volume as a survival predictor for patients with diffuse large B-cell lymphoma in the GOYA study
title_sort total metabolic tumor volume as a survival predictor for patients with diffuse large b-cell lymphoma in the goya study
topic Article - Non-Hodgkin Lymphoma
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244811/
https://www.ncbi.nlm.nih.gov/pubmed/34407602
http://dx.doi.org/10.3324/haematol.2021.278663
work_keys_str_mv AT kostakoglulale totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT mattiellofederico totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT martellimaurizio totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT sehnlaurieh totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT beladadavid totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT ghiggichiara totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT chuaneil totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT gonzalezbarcaeva totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT hongxiaonan totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT pintoantonio totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT shiyuankai totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT tatsumiyoichi totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT bolenchristopher totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT knappandrea totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT sellamgila totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT nielsentina totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT sahindeniz totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT vitoloumberto totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy
AT trnenymarek totalmetabolictumorvolumeasasurvivalpredictorforpatientswithdiffuselargebcelllymphomainthegoyastudy