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Development of a Model to Estimate the Association Between Delay in Cancer Treatment and Local Tumor Control and Risk of Metastases

IMPORTANCE: The coronavirus disease 2019 (COVID-19) pandemic has led to treatment delays for many patients with cancer. While published guidelines provide suggestions on which cases are appropriate for treatment delay, there are no good quantitative estimates on the association of delays with tumor...

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Autores principales: Ng, John, Stovezky, Yael R., Brenner, David J., Formenti, Silvia C., Shuryak, Igor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841466/
https://www.ncbi.nlm.nih.gov/pubmed/33502482
http://dx.doi.org/10.1001/jamanetworkopen.2020.34065
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author Ng, John
Stovezky, Yael R.
Brenner, David J.
Formenti, Silvia C.
Shuryak, Igor
author_facet Ng, John
Stovezky, Yael R.
Brenner, David J.
Formenti, Silvia C.
Shuryak, Igor
author_sort Ng, John
collection PubMed
description IMPORTANCE: The coronavirus disease 2019 (COVID-19) pandemic has led to treatment delays for many patients with cancer. While published guidelines provide suggestions on which cases are appropriate for treatment delay, there are no good quantitative estimates on the association of delays with tumor control or risk of new metastases. OBJECTIVES: To develop a simplified mathematical model of tumor growth, control, and new metastases for cancers with varying doubling times and metastatic potential and to estimate tumor control probability (TCP) and metastases risk as a function of treatment delay interval. DESIGN, SETTING, AND PARTICIPANTS: This decision analytical model describes a quantitative model for 3 tumors (ie, head and neck, colorectal, and non–small cell lung cancers). Using accepted ranges of tumor doubling times and metastatic development from the clinical literature from 2001 to 2020, estimates of tumor growth, TCP, and new metastases were analyzed for various treatment delay intervals. MAIN OUTCOMES AND MEASURES: Risk estimates for potential decreases in local TCP and increases in new metastases with each interval of treatment delay. RESULTS: For fast-growing head and neck tumors with a 2-month treatment delay, there was an estimated 4.8% (95% CI, 3.4%-6.4%) increase in local tumor control risk and a 0.49% (0.47%-0.51%) increase in new distal metastases risk. A 6-month delay was associated with an estimated 21.3% (13.4-30.4) increase in local tumor control risk and a 6.0% (5.2-6.8) increase in distal metastases risk. For intermediate-growing colorectal tumors, there was a 2.1% (0.7%-3.5%) increase in local tumor control risk and a 2.7% (2.6%-2.8%) increase in distal metastases risk at 2 months and a 7.6% (2.2%-14.2%) increase in local tumor control risk and a 24.7% (21.9%-27.8%) increase in distal metastases risk at 6 months. For slower-growing lung tumors, there was a 1.2% (0.0%-2.8%) increase in local tumor control risk and a 0.19% (0.18%-0.20%) increase in distal metastases risk at 2 months, and a 4.3% (0.0%-10.6%) increase in local tumor control risk and a 1.9% (1.6%-2.2%) increase in distal metastases risk at 6 months. CONCLUSIONS AND RELEVANCE: This study proposed a model to quantify the association of treatment delays with local tumor control and risk of new metastases. The detrimental associations were greatest for tumors with faster rates of proliferation and metastasis. The associations were smaller, but still substantial, for slower-growing tumors.
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spelling pubmed-78414662021-02-04 Development of a Model to Estimate the Association Between Delay in Cancer Treatment and Local Tumor Control and Risk of Metastases Ng, John Stovezky, Yael R. Brenner, David J. Formenti, Silvia C. Shuryak, Igor JAMA Netw Open Original Investigation IMPORTANCE: The coronavirus disease 2019 (COVID-19) pandemic has led to treatment delays for many patients with cancer. While published guidelines provide suggestions on which cases are appropriate for treatment delay, there are no good quantitative estimates on the association of delays with tumor control or risk of new metastases. OBJECTIVES: To develop a simplified mathematical model of tumor growth, control, and new metastases for cancers with varying doubling times and metastatic potential and to estimate tumor control probability (TCP) and metastases risk as a function of treatment delay interval. DESIGN, SETTING, AND PARTICIPANTS: This decision analytical model describes a quantitative model for 3 tumors (ie, head and neck, colorectal, and non–small cell lung cancers). Using accepted ranges of tumor doubling times and metastatic development from the clinical literature from 2001 to 2020, estimates of tumor growth, TCP, and new metastases were analyzed for various treatment delay intervals. MAIN OUTCOMES AND MEASURES: Risk estimates for potential decreases in local TCP and increases in new metastases with each interval of treatment delay. RESULTS: For fast-growing head and neck tumors with a 2-month treatment delay, there was an estimated 4.8% (95% CI, 3.4%-6.4%) increase in local tumor control risk and a 0.49% (0.47%-0.51%) increase in new distal metastases risk. A 6-month delay was associated with an estimated 21.3% (13.4-30.4) increase in local tumor control risk and a 6.0% (5.2-6.8) increase in distal metastases risk. For intermediate-growing colorectal tumors, there was a 2.1% (0.7%-3.5%) increase in local tumor control risk and a 2.7% (2.6%-2.8%) increase in distal metastases risk at 2 months and a 7.6% (2.2%-14.2%) increase in local tumor control risk and a 24.7% (21.9%-27.8%) increase in distal metastases risk at 6 months. For slower-growing lung tumors, there was a 1.2% (0.0%-2.8%) increase in local tumor control risk and a 0.19% (0.18%-0.20%) increase in distal metastases risk at 2 months, and a 4.3% (0.0%-10.6%) increase in local tumor control risk and a 1.9% (1.6%-2.2%) increase in distal metastases risk at 6 months. CONCLUSIONS AND RELEVANCE: This study proposed a model to quantify the association of treatment delays with local tumor control and risk of new metastases. The detrimental associations were greatest for tumors with faster rates of proliferation and metastasis. The associations were smaller, but still substantial, for slower-growing tumors. American Medical Association 2021-01-27 /pmc/articles/PMC7841466/ /pubmed/33502482 http://dx.doi.org/10.1001/jamanetworkopen.2020.34065 Text en Copyright 2021 Ng J et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Ng, John
Stovezky, Yael R.
Brenner, David J.
Formenti, Silvia C.
Shuryak, Igor
Development of a Model to Estimate the Association Between Delay in Cancer Treatment and Local Tumor Control and Risk of Metastases
title Development of a Model to Estimate the Association Between Delay in Cancer Treatment and Local Tumor Control and Risk of Metastases
title_full Development of a Model to Estimate the Association Between Delay in Cancer Treatment and Local Tumor Control and Risk of Metastases
title_fullStr Development of a Model to Estimate the Association Between Delay in Cancer Treatment and Local Tumor Control and Risk of Metastases
title_full_unstemmed Development of a Model to Estimate the Association Between Delay in Cancer Treatment and Local Tumor Control and Risk of Metastases
title_short Development of a Model to Estimate the Association Between Delay in Cancer Treatment and Local Tumor Control and Risk of Metastases
title_sort development of a model to estimate the association between delay in cancer treatment and local tumor control and risk of metastases
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841466/
https://www.ncbi.nlm.nih.gov/pubmed/33502482
http://dx.doi.org/10.1001/jamanetworkopen.2020.34065
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