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Mathematical prediction with pretreatment growth rate of metastatic cancer on outcomes: implications for the characterization of oligometastatic disease

BACKGROUND: Oligometastatic disease (OMD) represents an indolent cancer status characterized by slow tumor growth and limited metastatic potential. The use of local therapy in the management of the condition continues to rise. This study aimed to investigate the advantage of pretreatment tumor growt...

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Autores principales: Shin, Yerim, Chang, Jee Suk, Kim, Yeseul, Shin, Sang Joon, Kim, Jina, Kim, Tae Hyung, Liu, Mitchell, Olson, Robert, Kim, Jin Sung, Sung, Wonmo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258314/
https://www.ncbi.nlm.nih.gov/pubmed/37313457
http://dx.doi.org/10.3389/fonc.2023.1061881
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author Shin, Yerim
Chang, Jee Suk
Kim, Yeseul
Shin, Sang Joon
Kim, Jina
Kim, Tae Hyung
Liu, Mitchell
Olson, Robert
Kim, Jin Sung
Sung, Wonmo
author_facet Shin, Yerim
Chang, Jee Suk
Kim, Yeseul
Shin, Sang Joon
Kim, Jina
Kim, Tae Hyung
Liu, Mitchell
Olson, Robert
Kim, Jin Sung
Sung, Wonmo
author_sort Shin, Yerim
collection PubMed
description BACKGROUND: Oligometastatic disease (OMD) represents an indolent cancer status characterized by slow tumor growth and limited metastatic potential. The use of local therapy in the management of the condition continues to rise. This study aimed to investigate the advantage of pretreatment tumor growth rate in addition to baseline disease burden in characterizing OMDs, generally defined by the presence of ≤ 5 metastatic lesions. METHODS: The study included patients with metastatic melanoma treated with pembrolizumab. Gross tumor volume of all metastases was contoured on imaging before (TP(-1)) and at the initiation of pembrolizumab (TP(0)). Pretreatment tumor growth rate was calculated by an exponential ordinary differential equation model using the sum of tumor volumes at TP(-1) and TP(0) and the time interval between TP(-1). and TP(0). Patients were divided into interquartile groups based on pretreatment growth rate. Overall survival, progression-free survival, and subsequent progression-free survival were the study outcomes. RESULTS: At baseline, median cumulative volume and number of metastases were 28.4 cc (range, 0.4-1194.8 cc) and 7 (range, 1-73), respectively. The median interval between TP(-1) and TP(0) was -90 days and pretreatment tumor growth rate (×10(-2) days(-1)) was median 4.71 (range -0.62 to 44.1). The slow-paced group (pretreatment tumor growth rate ≤ 7.6 ×10(-2) days(-1), the upper quartile) had a significantly higher overall survival rate, progression-free survival, and subsequent progression-free survival compared to those of the fast-paced group (pretreatment tumor growth rate > 7.6 ×10(-2) days(-1)). Notably, these differences were prominent in the subgroup with >5 metastases. CONCLUSION: Pretreatment tumor growth rate is a novel prognostic metric associated with overall survival, progression-free survival, and subsequent progression-free survival among metastatic melanoma patients, especially patients with >5 metastases. Future prospective studies should validate the advantage of disease growth rate plus disease burden in better defining OMDs.
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spelling pubmed-102583142023-06-13 Mathematical prediction with pretreatment growth rate of metastatic cancer on outcomes: implications for the characterization of oligometastatic disease Shin, Yerim Chang, Jee Suk Kim, Yeseul Shin, Sang Joon Kim, Jina Kim, Tae Hyung Liu, Mitchell Olson, Robert Kim, Jin Sung Sung, Wonmo Front Oncol Oncology BACKGROUND: Oligometastatic disease (OMD) represents an indolent cancer status characterized by slow tumor growth and limited metastatic potential. The use of local therapy in the management of the condition continues to rise. This study aimed to investigate the advantage of pretreatment tumor growth rate in addition to baseline disease burden in characterizing OMDs, generally defined by the presence of ≤ 5 metastatic lesions. METHODS: The study included patients with metastatic melanoma treated with pembrolizumab. Gross tumor volume of all metastases was contoured on imaging before (TP(-1)) and at the initiation of pembrolizumab (TP(0)). Pretreatment tumor growth rate was calculated by an exponential ordinary differential equation model using the sum of tumor volumes at TP(-1) and TP(0) and the time interval between TP(-1). and TP(0). Patients were divided into interquartile groups based on pretreatment growth rate. Overall survival, progression-free survival, and subsequent progression-free survival were the study outcomes. RESULTS: At baseline, median cumulative volume and number of metastases were 28.4 cc (range, 0.4-1194.8 cc) and 7 (range, 1-73), respectively. The median interval between TP(-1) and TP(0) was -90 days and pretreatment tumor growth rate (×10(-2) days(-1)) was median 4.71 (range -0.62 to 44.1). The slow-paced group (pretreatment tumor growth rate ≤ 7.6 ×10(-2) days(-1), the upper quartile) had a significantly higher overall survival rate, progression-free survival, and subsequent progression-free survival compared to those of the fast-paced group (pretreatment tumor growth rate > 7.6 ×10(-2) days(-1)). Notably, these differences were prominent in the subgroup with >5 metastases. CONCLUSION: Pretreatment tumor growth rate is a novel prognostic metric associated with overall survival, progression-free survival, and subsequent progression-free survival among metastatic melanoma patients, especially patients with >5 metastases. Future prospective studies should validate the advantage of disease growth rate plus disease burden in better defining OMDs. Frontiers Media S.A. 2023-05-29 /pmc/articles/PMC10258314/ /pubmed/37313457 http://dx.doi.org/10.3389/fonc.2023.1061881 Text en Copyright © 2023 Shin, Chang, Kim, Shin, Kim, Kim, Liu, Olson, Kim and Sung https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Shin, Yerim
Chang, Jee Suk
Kim, Yeseul
Shin, Sang Joon
Kim, Jina
Kim, Tae Hyung
Liu, Mitchell
Olson, Robert
Kim, Jin Sung
Sung, Wonmo
Mathematical prediction with pretreatment growth rate of metastatic cancer on outcomes: implications for the characterization of oligometastatic disease
title Mathematical prediction with pretreatment growth rate of metastatic cancer on outcomes: implications for the characterization of oligometastatic disease
title_full Mathematical prediction with pretreatment growth rate of metastatic cancer on outcomes: implications for the characterization of oligometastatic disease
title_fullStr Mathematical prediction with pretreatment growth rate of metastatic cancer on outcomes: implications for the characterization of oligometastatic disease
title_full_unstemmed Mathematical prediction with pretreatment growth rate of metastatic cancer on outcomes: implications for the characterization of oligometastatic disease
title_short Mathematical prediction with pretreatment growth rate of metastatic cancer on outcomes: implications for the characterization of oligometastatic disease
title_sort mathematical prediction with pretreatment growth rate of metastatic cancer on outcomes: implications for the characterization of oligometastatic disease
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258314/
https://www.ncbi.nlm.nih.gov/pubmed/37313457
http://dx.doi.org/10.3389/fonc.2023.1061881
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