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Absolute Neutrophil Count in the Peripheral Blood Predicts Prognosis in Lung Cancer Patients Treated with Anlotinib
PURPOSE: Anlotinib is a multi-targeted tyrosine kinase inhibitor that inhibits tumor angiogenesis and cell proliferation. It is widely used as a third-line therapy for lung cancer. However, reliable prognostic biomarkers for predicting the efficacy of anlotinib are lacking. We conducted a retrospect...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106457/ https://www.ncbi.nlm.nih.gov/pubmed/33976572 http://dx.doi.org/10.2147/CMAR.S307368 |
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author | Chen, Rong Lu, Fang-Ying Liu, Bing Huang, Jingwen Zhou, Min Dai, Ranran Guo, Yi |
author_facet | Chen, Rong Lu, Fang-Ying Liu, Bing Huang, Jingwen Zhou, Min Dai, Ranran Guo, Yi |
author_sort | Chen, Rong |
collection | PubMed |
description | PURPOSE: Anlotinib is a multi-targeted tyrosine kinase inhibitor that inhibits tumor angiogenesis and cell proliferation. It is widely used as a third-line therapy for lung cancer. However, reliable prognostic biomarkers for predicting the efficacy of anlotinib are lacking. We conducted a retrospective study to investigate the prognostic value of serological inflammatory biomarkers in anlotinib treatment. PATIENTS AND METHODS: Patients with advanced lung cancer treated with anlotinib monotherapy were enrolled. Cox regression was conducted to analyze the significant factors related to progression-free survival (PFS) and overall survival (OS). The objective response rate (ORR) was compared based on the median cut-off value of the significant inflammation index. Meanwhile, we created survival curves to compare the two groups and performed receiver operating characteristic curve analysis to assess the predictive ability of the inflammation index. RESULTS: Among a total of 71 patients, the median PFS was 5.5 months and the median OS was 9.5 months. The ORR and disease control rate were 16.9% and 84.5%, respectively. According to univariate and multivariate analyses, absolute neutrophil count (ANC) was the only indicator associated with both PFS (hazard ratio [HR] =1.095, 95% confidence interval [CI] 1.030–1.163, P=0.003) and OS (HR=1.057, 95% CI 1.003–1.113, P=0.037). In the group with ANC ≥4.58, the ORR was relatively lower (8.1% vs 26.5%, P=0.057), but not statistically significant; PFS and OS were relatively shorter (median PFS 5.0 [95% CI 4.4–9.6] vs 7.0 months [95% CI 4.4–5.7], P=0.024 and median OS 7.3 [95% CI 4.7–10.0] vs 17.6 months [95% CI 12.3–22.9], P < 0.001). ANC had a relatively high discriminatory ability to predict 10-month survival, with an area under the curve of 0.729, sensitivity of 82.5%, and specificity of 67.7%. CONCLUSION: Elevated pre-treatment ANC was associated with a poor prognosis. Patients with lower peripheral blood levels of ANC might benefit from anlotinib. |
format | Online Article Text |
id | pubmed-8106457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-81064572021-05-10 Absolute Neutrophil Count in the Peripheral Blood Predicts Prognosis in Lung Cancer Patients Treated with Anlotinib Chen, Rong Lu, Fang-Ying Liu, Bing Huang, Jingwen Zhou, Min Dai, Ranran Guo, Yi Cancer Manag Res Original Research PURPOSE: Anlotinib is a multi-targeted tyrosine kinase inhibitor that inhibits tumor angiogenesis and cell proliferation. It is widely used as a third-line therapy for lung cancer. However, reliable prognostic biomarkers for predicting the efficacy of anlotinib are lacking. We conducted a retrospective study to investigate the prognostic value of serological inflammatory biomarkers in anlotinib treatment. PATIENTS AND METHODS: Patients with advanced lung cancer treated with anlotinib monotherapy were enrolled. Cox regression was conducted to analyze the significant factors related to progression-free survival (PFS) and overall survival (OS). The objective response rate (ORR) was compared based on the median cut-off value of the significant inflammation index. Meanwhile, we created survival curves to compare the two groups and performed receiver operating characteristic curve analysis to assess the predictive ability of the inflammation index. RESULTS: Among a total of 71 patients, the median PFS was 5.5 months and the median OS was 9.5 months. The ORR and disease control rate were 16.9% and 84.5%, respectively. According to univariate and multivariate analyses, absolute neutrophil count (ANC) was the only indicator associated with both PFS (hazard ratio [HR] =1.095, 95% confidence interval [CI] 1.030–1.163, P=0.003) and OS (HR=1.057, 95% CI 1.003–1.113, P=0.037). In the group with ANC ≥4.58, the ORR was relatively lower (8.1% vs 26.5%, P=0.057), but not statistically significant; PFS and OS were relatively shorter (median PFS 5.0 [95% CI 4.4–9.6] vs 7.0 months [95% CI 4.4–5.7], P=0.024 and median OS 7.3 [95% CI 4.7–10.0] vs 17.6 months [95% CI 12.3–22.9], P < 0.001). ANC had a relatively high discriminatory ability to predict 10-month survival, with an area under the curve of 0.729, sensitivity of 82.5%, and specificity of 67.7%. CONCLUSION: Elevated pre-treatment ANC was associated with a poor prognosis. Patients with lower peripheral blood levels of ANC might benefit from anlotinib. Dove 2021-05-03 /pmc/articles/PMC8106457/ /pubmed/33976572 http://dx.doi.org/10.2147/CMAR.S307368 Text en © 2021 Chen et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Chen, Rong Lu, Fang-Ying Liu, Bing Huang, Jingwen Zhou, Min Dai, Ranran Guo, Yi Absolute Neutrophil Count in the Peripheral Blood Predicts Prognosis in Lung Cancer Patients Treated with Anlotinib |
title | Absolute Neutrophil Count in the Peripheral Blood Predicts Prognosis in Lung Cancer Patients Treated with Anlotinib |
title_full | Absolute Neutrophil Count in the Peripheral Blood Predicts Prognosis in Lung Cancer Patients Treated with Anlotinib |
title_fullStr | Absolute Neutrophil Count in the Peripheral Blood Predicts Prognosis in Lung Cancer Patients Treated with Anlotinib |
title_full_unstemmed | Absolute Neutrophil Count in the Peripheral Blood Predicts Prognosis in Lung Cancer Patients Treated with Anlotinib |
title_short | Absolute Neutrophil Count in the Peripheral Blood Predicts Prognosis in Lung Cancer Patients Treated with Anlotinib |
title_sort | absolute neutrophil count in the peripheral blood predicts prognosis in lung cancer patients treated with anlotinib |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106457/ https://www.ncbi.nlm.nih.gov/pubmed/33976572 http://dx.doi.org/10.2147/CMAR.S307368 |
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