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Neoadjuvant chemoimmunotherapy cycle number selection for non-small cell lung cancer and clinical outcomes: a real-world analysis
OBJECTIVES: Neoadjuvant chemoimmunotherapy is the optimal choice in the treatment of NSCLC; however, the optimal number of therapeutic cycles remains unclear. The primary aim of this study was to determine the optimal number of neoadjuvant therapeutic cycles in NSCLC. METHODS: This study was a real-...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508959/ https://www.ncbi.nlm.nih.gov/pubmed/37731645 http://dx.doi.org/10.3389/fonc.2023.1200625 |
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author | Zhang, Baihua Guo, Xiaotong Jia, Ran Wang, Zhan Wu, Jie Chen, Xiaoyan Li, Jigang Yang, Desong Li, Xu Wang, Wenxiang Xiao, Qin |
author_facet | Zhang, Baihua Guo, Xiaotong Jia, Ran Wang, Zhan Wu, Jie Chen, Xiaoyan Li, Jigang Yang, Desong Li, Xu Wang, Wenxiang Xiao, Qin |
author_sort | Zhang, Baihua |
collection | PubMed |
description | OBJECTIVES: Neoadjuvant chemoimmunotherapy is the optimal choice in the treatment of NSCLC; however, the optimal number of therapeutic cycles remains unclear. The primary aim of this study was to determine the optimal number of neoadjuvant therapeutic cycles in NSCLC. METHODS: This study was a real-world clinical analysis that included patients who received neoadjuvant chemoimmunotherapy followed by surgery from January 2020 to August 2022. Patients were divided into two groups based on the number of therapeutic cycles: 2-cycle group and 3-4-cycles group. The primary endpoint was the major pathological response (MPR) rate. RESULTS: A total of 251 patients were included: 150 in the 2-cycle group and 101 in the 3-4-cycles group. Baseline characteristics were well-balanced between the groups. The MPR in the 2-cycle group was 57.3% and not significantly different from that of 57.4% in the 3-4-cycles group (p=0.529). Thirty-two patients (31.7%) in the 3-4-cycles group underwent surgery > 42 days after the final cycle of neoadjuvant therapy, significantly more than the 24 patients (16.0%) in the 2-cycle group (p=0.003). The incidence of adverse events related to neoadjuvant therapy was higher in the 3-4-cycles vs 2-cycle groups (72.3% versus 58.0%, respectively; p=0.021), while the 2-cycle group had a higher rate of postoperative morbidities (28.0% versus 12.9%, respectively; p=0.004). Additionally, for patients with ≤ 44.2% regression in diameter on computed tomography after two cycles of treatment, the MPR rate was higher in the 3-4-cycles vs 2-cycle group (47.3% versus 29.9%, respectively; p=0.048). For cases with programmed death-ligand 1 expression, regarding tumor proportion score ≤ 10%, 3-4 cycles of neoadjuvant treatment increased the MPR rate compared with 2 cycles (37.5% versus 9.5%, respectively; p=0.041). CONCLUSION: Our data support the positive role of chemoimmunotherapy in the neoadjuvant treatment of NSCLC. Extending to 3–4 cycles instead of 2 cycles of neoadjuvant chemoimmunotherapy may improve the safety of surgery and result in a lower incidence of postoperative morbidities; however, the MPR rate may not increase significantly. CT re-evaluation during treatment and PD-L1 expression at initial diagnosis are potential indicators to guide the choice of the number of therapeutic cycles. |
format | Online Article Text |
id | pubmed-10508959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105089592023-09-20 Neoadjuvant chemoimmunotherapy cycle number selection for non-small cell lung cancer and clinical outcomes: a real-world analysis Zhang, Baihua Guo, Xiaotong Jia, Ran Wang, Zhan Wu, Jie Chen, Xiaoyan Li, Jigang Yang, Desong Li, Xu Wang, Wenxiang Xiao, Qin Front Oncol Oncology OBJECTIVES: Neoadjuvant chemoimmunotherapy is the optimal choice in the treatment of NSCLC; however, the optimal number of therapeutic cycles remains unclear. The primary aim of this study was to determine the optimal number of neoadjuvant therapeutic cycles in NSCLC. METHODS: This study was a real-world clinical analysis that included patients who received neoadjuvant chemoimmunotherapy followed by surgery from January 2020 to August 2022. Patients were divided into two groups based on the number of therapeutic cycles: 2-cycle group and 3-4-cycles group. The primary endpoint was the major pathological response (MPR) rate. RESULTS: A total of 251 patients were included: 150 in the 2-cycle group and 101 in the 3-4-cycles group. Baseline characteristics were well-balanced between the groups. The MPR in the 2-cycle group was 57.3% and not significantly different from that of 57.4% in the 3-4-cycles group (p=0.529). Thirty-two patients (31.7%) in the 3-4-cycles group underwent surgery > 42 days after the final cycle of neoadjuvant therapy, significantly more than the 24 patients (16.0%) in the 2-cycle group (p=0.003). The incidence of adverse events related to neoadjuvant therapy was higher in the 3-4-cycles vs 2-cycle groups (72.3% versus 58.0%, respectively; p=0.021), while the 2-cycle group had a higher rate of postoperative morbidities (28.0% versus 12.9%, respectively; p=0.004). Additionally, for patients with ≤ 44.2% regression in diameter on computed tomography after two cycles of treatment, the MPR rate was higher in the 3-4-cycles vs 2-cycle group (47.3% versus 29.9%, respectively; p=0.048). For cases with programmed death-ligand 1 expression, regarding tumor proportion score ≤ 10%, 3-4 cycles of neoadjuvant treatment increased the MPR rate compared with 2 cycles (37.5% versus 9.5%, respectively; p=0.041). CONCLUSION: Our data support the positive role of chemoimmunotherapy in the neoadjuvant treatment of NSCLC. Extending to 3–4 cycles instead of 2 cycles of neoadjuvant chemoimmunotherapy may improve the safety of surgery and result in a lower incidence of postoperative morbidities; however, the MPR rate may not increase significantly. CT re-evaluation during treatment and PD-L1 expression at initial diagnosis are potential indicators to guide the choice of the number of therapeutic cycles. Frontiers Media S.A. 2023-09-05 /pmc/articles/PMC10508959/ /pubmed/37731645 http://dx.doi.org/10.3389/fonc.2023.1200625 Text en Copyright © 2023 Zhang, Guo, Jia, Wang, Wu, Chen, Li, Yang, Li, Wang and Xiao 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 Zhang, Baihua Guo, Xiaotong Jia, Ran Wang, Zhan Wu, Jie Chen, Xiaoyan Li, Jigang Yang, Desong Li, Xu Wang, Wenxiang Xiao, Qin Neoadjuvant chemoimmunotherapy cycle number selection for non-small cell lung cancer and clinical outcomes: a real-world analysis |
title | Neoadjuvant chemoimmunotherapy cycle number selection for non-small cell lung cancer and clinical outcomes: a real-world analysis |
title_full | Neoadjuvant chemoimmunotherapy cycle number selection for non-small cell lung cancer and clinical outcomes: a real-world analysis |
title_fullStr | Neoadjuvant chemoimmunotherapy cycle number selection for non-small cell lung cancer and clinical outcomes: a real-world analysis |
title_full_unstemmed | Neoadjuvant chemoimmunotherapy cycle number selection for non-small cell lung cancer and clinical outcomes: a real-world analysis |
title_short | Neoadjuvant chemoimmunotherapy cycle number selection for non-small cell lung cancer and clinical outcomes: a real-world analysis |
title_sort | neoadjuvant chemoimmunotherapy cycle number selection for non-small cell lung cancer and clinical outcomes: a real-world analysis |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508959/ https://www.ncbi.nlm.nih.gov/pubmed/37731645 http://dx.doi.org/10.3389/fonc.2023.1200625 |
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