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A New Prognostic Index Combines the Metabolic Response and RECIST 1.1 to Evaluate the Therapeutic Response in Patients With Non-Small Cell Lung Cancer
Aim: Response Evaluation Criteria in Solid Tumors (RECIST) is occasionally insufficient for evaluation. We proposed a new prognostic index (NPI) that combines the standardized uptake value (SUV), metabolic tumor volume (MTV), and RECIST. Methods: In total, 116 patients with lung cancer who underwent...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493745/ https://www.ncbi.nlm.nih.gov/pubmed/33014793 http://dx.doi.org/10.3389/fonc.2020.01503 |
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author | Tang, Wenfang Hou, Qingyi Lin, Juntao Li, Dongjiang Lin, Jieshan Chen, Jinghua Qiu, Zhenbin Chu, Xiangpeng Yang, Xiongwen Yan, Honghong Wang, Shuxia Wu, Yilong Zhong, Wenzhao |
author_facet | Tang, Wenfang Hou, Qingyi Lin, Juntao Li, Dongjiang Lin, Jieshan Chen, Jinghua Qiu, Zhenbin Chu, Xiangpeng Yang, Xiongwen Yan, Honghong Wang, Shuxia Wu, Yilong Zhong, Wenzhao |
author_sort | Tang, Wenfang |
collection | PubMed |
description | Aim: Response Evaluation Criteria in Solid Tumors (RECIST) is occasionally insufficient for evaluation. We proposed a new prognostic index (NPI) that combines the standardized uptake value (SUV), metabolic tumor volume (MTV), and RECIST. Methods: In total, 116 patients with lung cancer who underwent consecutive positron emission tomography-computed tomography prior to and after the initial treatment were included. We formulated the NPI by estimating the hazard ratios of overall survival for ΔMTV, ΔSUV(max), and ΔD (tumor size based on RECIST). Progression-free survival (PFS) and overall survival (OS) were compared between RECIST and the NPI. Results: ROC curve analysis identified two cutoff values based on the NPI (≤ −49.3% and ≥43.4%) to discriminate partial remission (NPR), stable disease (NSD) and progressive disease (NPD). Based on RECIST, survival analysis did not discriminate significantly on either PFS or OS between the PR, SD, and PD groups. However, according to the NPI, PFS and OS differed significantly between the NPR, NSD, and NPD groups (training set: PFS, p = 0.048; OS, p = 0.026; validation set: PFS, p = 0.004; OS, p = 0.023). Moreover, therapeutic response based on NPI was independent prognostic factor for both PFS [NPR as reference, NSD: hazard ratio (HR) 2.04; 95% confidence interval (95% CI) 1.35−3.08; p = 0.001; NPD: HR 6.87; 95% CI 3.03−15.57; p < 0.001] and OS (NPR as reference, NSD: HR 1.64; 95% CI 1.05−2.57; p = 0.031; NPD: HR 3.56; 95% CI 1.59−7.95; p = 0.002). Conclusion: The NPI showed superiority for evaluation of the therapeutic response and survival for patients with non-small cell lung cancer, overcoming the limitations of RECIST. |
format | Online Article Text |
id | pubmed-7493745 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74937452020-10-02 A New Prognostic Index Combines the Metabolic Response and RECIST 1.1 to Evaluate the Therapeutic Response in Patients With Non-Small Cell Lung Cancer Tang, Wenfang Hou, Qingyi Lin, Juntao Li, Dongjiang Lin, Jieshan Chen, Jinghua Qiu, Zhenbin Chu, Xiangpeng Yang, Xiongwen Yan, Honghong Wang, Shuxia Wu, Yilong Zhong, Wenzhao Front Oncol Oncology Aim: Response Evaluation Criteria in Solid Tumors (RECIST) is occasionally insufficient for evaluation. We proposed a new prognostic index (NPI) that combines the standardized uptake value (SUV), metabolic tumor volume (MTV), and RECIST. Methods: In total, 116 patients with lung cancer who underwent consecutive positron emission tomography-computed tomography prior to and after the initial treatment were included. We formulated the NPI by estimating the hazard ratios of overall survival for ΔMTV, ΔSUV(max), and ΔD (tumor size based on RECIST). Progression-free survival (PFS) and overall survival (OS) were compared between RECIST and the NPI. Results: ROC curve analysis identified two cutoff values based on the NPI (≤ −49.3% and ≥43.4%) to discriminate partial remission (NPR), stable disease (NSD) and progressive disease (NPD). Based on RECIST, survival analysis did not discriminate significantly on either PFS or OS between the PR, SD, and PD groups. However, according to the NPI, PFS and OS differed significantly between the NPR, NSD, and NPD groups (training set: PFS, p = 0.048; OS, p = 0.026; validation set: PFS, p = 0.004; OS, p = 0.023). Moreover, therapeutic response based on NPI was independent prognostic factor for both PFS [NPR as reference, NSD: hazard ratio (HR) 2.04; 95% confidence interval (95% CI) 1.35−3.08; p = 0.001; NPD: HR 6.87; 95% CI 3.03−15.57; p < 0.001] and OS (NPR as reference, NSD: HR 1.64; 95% CI 1.05−2.57; p = 0.031; NPD: HR 3.56; 95% CI 1.59−7.95; p = 0.002). Conclusion: The NPI showed superiority for evaluation of the therapeutic response and survival for patients with non-small cell lung cancer, overcoming the limitations of RECIST. Frontiers Media S.A. 2020-09-02 /pmc/articles/PMC7493745/ /pubmed/33014793 http://dx.doi.org/10.3389/fonc.2020.01503 Text en Copyright © 2020 Tang, Hou, Lin, Li, Lin, Chen, Qiu, Chu, Yang, Yan, Wang, Wu and Zhong. http://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 Tang, Wenfang Hou, Qingyi Lin, Juntao Li, Dongjiang Lin, Jieshan Chen, Jinghua Qiu, Zhenbin Chu, Xiangpeng Yang, Xiongwen Yan, Honghong Wang, Shuxia Wu, Yilong Zhong, Wenzhao A New Prognostic Index Combines the Metabolic Response and RECIST 1.1 to Evaluate the Therapeutic Response in Patients With Non-Small Cell Lung Cancer |
title | A New Prognostic Index Combines the Metabolic Response and RECIST 1.1 to Evaluate the Therapeutic Response in Patients With Non-Small Cell Lung Cancer |
title_full | A New Prognostic Index Combines the Metabolic Response and RECIST 1.1 to Evaluate the Therapeutic Response in Patients With Non-Small Cell Lung Cancer |
title_fullStr | A New Prognostic Index Combines the Metabolic Response and RECIST 1.1 to Evaluate the Therapeutic Response in Patients With Non-Small Cell Lung Cancer |
title_full_unstemmed | A New Prognostic Index Combines the Metabolic Response and RECIST 1.1 to Evaluate the Therapeutic Response in Patients With Non-Small Cell Lung Cancer |
title_short | A New Prognostic Index Combines the Metabolic Response and RECIST 1.1 to Evaluate the Therapeutic Response in Patients With Non-Small Cell Lung Cancer |
title_sort | new prognostic index combines the metabolic response and recist 1.1 to evaluate the therapeutic response in patients with non-small cell lung cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493745/ https://www.ncbi.nlm.nih.gov/pubmed/33014793 http://dx.doi.org/10.3389/fonc.2020.01503 |
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