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A prognostic baseline blood biomarker and tumor growth kinetics integrated model in paclitaxel/platinum treated advanced non‐small cell lung cancer patients

Paclitaxel/platinum chemotherapy, the backbone of standard first‐line treatment of advanced non‐small cell lung cancer (NSCLC), exhibits high interpatient variability in treatment response and high toxicity burden. Baseline blood biomarker concentrations and tumor size (sum of diameters) at week 8 r...

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Autores principales: Ojara, Francis Williams, Henrich, Andrea, Frances, Nicolas, Nassar, Yomna M., Huisinga, Wilhelm, Hartung, Niklas, Geiger, Kimberly, Holdenrieder, Stefan, Joerger, Markus, Kloft, Charlotte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681433/
https://www.ncbi.nlm.nih.gov/pubmed/36782356
http://dx.doi.org/10.1002/psp4.12937
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author Ojara, Francis Williams
Henrich, Andrea
Frances, Nicolas
Nassar, Yomna M.
Huisinga, Wilhelm
Hartung, Niklas
Geiger, Kimberly
Holdenrieder, Stefan
Joerger, Markus
Kloft, Charlotte
author_facet Ojara, Francis Williams
Henrich, Andrea
Frances, Nicolas
Nassar, Yomna M.
Huisinga, Wilhelm
Hartung, Niklas
Geiger, Kimberly
Holdenrieder, Stefan
Joerger, Markus
Kloft, Charlotte
author_sort Ojara, Francis Williams
collection PubMed
description Paclitaxel/platinum chemotherapy, the backbone of standard first‐line treatment of advanced non‐small cell lung cancer (NSCLC), exhibits high interpatient variability in treatment response and high toxicity burden. Baseline blood biomarker concentrations and tumor size (sum of diameters) at week 8 relative to baseline (RS8) are widely investigated prognostic factors. However, joint analysis of data on demographic/clinical characteristics, blood biomarker levels, and chemotherapy exposure‐driven early tumor response for improved prediction of overall survival (OS) is clinically not established. We developed a Weibull time‐to‐event model to predict OS, leveraging data from 365 patients receiving paclitaxel/platinum combination chemotherapy once every three weeks for ≤six cycles. A developed tumor growth inhibition model, combining linear tumor growth and first‐order paclitaxel area under the concentration‐time curve‐induced tumor decay, was used to derive individual RS8. The median model‐derived RS8 in all patients was a 20.0% tumor size reduction (range from −78% to +15%). Whereas baseline carcinoembryonic antigen, cytokeratin fragments, and thyroid stimulating hormone levels were not significantly associated with OS in a subset of 221 patients, and lactate dehydrogenase, interleukin‐6 and neutrophil‐to‐lymphocyte ratio levels were significant only in univariate analyses (p value < 0.05); C‐reactive protein (CRP) in combination with RS8 most significantly affected OS (p value < 0.01). Compared to the median population OS of 11.3 months, OS was 128% longer at the 5th percentile levels of both covariates and 60% shorter at their 95th percentiles levels. The combined paclitaxel exposure‐driven RS8 and baseline blood CRP concentrations enables early individual prognostic predictions for different paclitaxel dosing regimens, forming the basis for treatment decision and optimizing paclitaxel/platinum‐based advanced NSCLC chemotherapy.
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spelling pubmed-106814332023-02-27 A prognostic baseline blood biomarker and tumor growth kinetics integrated model in paclitaxel/platinum treated advanced non‐small cell lung cancer patients Ojara, Francis Williams Henrich, Andrea Frances, Nicolas Nassar, Yomna M. Huisinga, Wilhelm Hartung, Niklas Geiger, Kimberly Holdenrieder, Stefan Joerger, Markus Kloft, Charlotte CPT Pharmacometrics Syst Pharmacol Research Paclitaxel/platinum chemotherapy, the backbone of standard first‐line treatment of advanced non‐small cell lung cancer (NSCLC), exhibits high interpatient variability in treatment response and high toxicity burden. Baseline blood biomarker concentrations and tumor size (sum of diameters) at week 8 relative to baseline (RS8) are widely investigated prognostic factors. However, joint analysis of data on demographic/clinical characteristics, blood biomarker levels, and chemotherapy exposure‐driven early tumor response for improved prediction of overall survival (OS) is clinically not established. We developed a Weibull time‐to‐event model to predict OS, leveraging data from 365 patients receiving paclitaxel/platinum combination chemotherapy once every three weeks for ≤six cycles. A developed tumor growth inhibition model, combining linear tumor growth and first‐order paclitaxel area under the concentration‐time curve‐induced tumor decay, was used to derive individual RS8. The median model‐derived RS8 in all patients was a 20.0% tumor size reduction (range from −78% to +15%). Whereas baseline carcinoembryonic antigen, cytokeratin fragments, and thyroid stimulating hormone levels were not significantly associated with OS in a subset of 221 patients, and lactate dehydrogenase, interleukin‐6 and neutrophil‐to‐lymphocyte ratio levels were significant only in univariate analyses (p value < 0.05); C‐reactive protein (CRP) in combination with RS8 most significantly affected OS (p value < 0.01). Compared to the median population OS of 11.3 months, OS was 128% longer at the 5th percentile levels of both covariates and 60% shorter at their 95th percentiles levels. The combined paclitaxel exposure‐driven RS8 and baseline blood CRP concentrations enables early individual prognostic predictions for different paclitaxel dosing regimens, forming the basis for treatment decision and optimizing paclitaxel/platinum‐based advanced NSCLC chemotherapy. John Wiley and Sons Inc. 2023-02-27 /pmc/articles/PMC10681433/ /pubmed/36782356 http://dx.doi.org/10.1002/psp4.12937 Text en © 2023 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research
Ojara, Francis Williams
Henrich, Andrea
Frances, Nicolas
Nassar, Yomna M.
Huisinga, Wilhelm
Hartung, Niklas
Geiger, Kimberly
Holdenrieder, Stefan
Joerger, Markus
Kloft, Charlotte
A prognostic baseline blood biomarker and tumor growth kinetics integrated model in paclitaxel/platinum treated advanced non‐small cell lung cancer patients
title A prognostic baseline blood biomarker and tumor growth kinetics integrated model in paclitaxel/platinum treated advanced non‐small cell lung cancer patients
title_full A prognostic baseline blood biomarker and tumor growth kinetics integrated model in paclitaxel/platinum treated advanced non‐small cell lung cancer patients
title_fullStr A prognostic baseline blood biomarker and tumor growth kinetics integrated model in paclitaxel/platinum treated advanced non‐small cell lung cancer patients
title_full_unstemmed A prognostic baseline blood biomarker and tumor growth kinetics integrated model in paclitaxel/platinum treated advanced non‐small cell lung cancer patients
title_short A prognostic baseline blood biomarker and tumor growth kinetics integrated model in paclitaxel/platinum treated advanced non‐small cell lung cancer patients
title_sort prognostic baseline blood biomarker and tumor growth kinetics integrated model in paclitaxel/platinum treated advanced non‐small cell lung cancer patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681433/
https://www.ncbi.nlm.nih.gov/pubmed/36782356
http://dx.doi.org/10.1002/psp4.12937
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