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An individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer
BACKGROUND: Tumor spread through air spaces (STAS) has been shown to adversely affect the prognosis of lung cancer. The correlation between clinicopathological and genetic features and STAS remains unclear. METHOD: We retrospectively reviewed 3075 NSCLC patients between2017-2019. We evaluated the re...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9137206/ https://www.ncbi.nlm.nih.gov/pubmed/35619108 http://dx.doi.org/10.1186/s12890-022-02002-1 |
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author | Wang, Shuai Shou, Huankai Wen, Haoyu Wang, Xingxing Wang, Haixing Lu, Chunlai Gu, Jie Xu, Fengkai Zhu, Qiaoliang Wang, Lin Ge, Di |
author_facet | Wang, Shuai Shou, Huankai Wen, Haoyu Wang, Xingxing Wang, Haixing Lu, Chunlai Gu, Jie Xu, Fengkai Zhu, Qiaoliang Wang, Lin Ge, Di |
author_sort | Wang, Shuai |
collection | PubMed |
description | BACKGROUND: Tumor spread through air spaces (STAS) has been shown to adversely affect the prognosis of lung cancer. The correlation between clinicopathological and genetic features and STAS remains unclear. METHOD: We retrospectively reviewed 3075 NSCLC patients between2017-2019. We evaluated the relationship between STAS and patients’ clinicopathological and molecular features. The chi-square test was performed to compare categorical variables. Univariate analysis and multivariate logistic regression analysis were performed to investigate the association of clinical factors with STAS. A nomogram was formulated to predict the presence of STAS. RESULTS: STAS was identified in 617 of 3075 patients (20.07%). STAS was significantly related to sex (p < 0.001), smoking (p < 0.001), CEA (p < 0.001), differentiation (p < 0.001), histopathological type (p < 0.001), lymphatic vessel invasion (p < 0.001), pleural invasion (p < 0.001), T stage (p < 0.001), N stage (p < 0.001), M stage (p < 0.001), and TNM stage (p < 0.001). STAS was frequently found in tumors with wild-type EGFR (p < 0.001), KRAS mutations (p < 0.001), ALK rearrangements (p < 0.001) or ROS1 rearrangements (p < 0.001). For programmed death-1 (PD-1)/programmed death ligand-1 (PD-L1), STAS was associated with PD-L1 expression level in tumor cells (p < 0.001) or stromal cells (p < 0.001), while PD-1 only in stromal cells (p < 0.001). Multivariable analyses demonstrated significant correlations between STAS and CEA level (p < 0.001), pathological grade (p < 0.001), lymphatic vessel invasion (p < 0.001), pleural invasion (p = 0.001), and TNM stage (p = 0.002). A nomogram was formulated based on the results of the multivariable analysis. CONCLUSIONS: Tumor STAS was associated with several invasive clinicopathological features. A nomogram was established to predict the presence of STAS in patients with NSCLC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-022-02002-1. |
format | Online Article Text |
id | pubmed-9137206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91372062022-05-28 An individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer Wang, Shuai Shou, Huankai Wen, Haoyu Wang, Xingxing Wang, Haixing Lu, Chunlai Gu, Jie Xu, Fengkai Zhu, Qiaoliang Wang, Lin Ge, Di BMC Pulm Med Research BACKGROUND: Tumor spread through air spaces (STAS) has been shown to adversely affect the prognosis of lung cancer. The correlation between clinicopathological and genetic features and STAS remains unclear. METHOD: We retrospectively reviewed 3075 NSCLC patients between2017-2019. We evaluated the relationship between STAS and patients’ clinicopathological and molecular features. The chi-square test was performed to compare categorical variables. Univariate analysis and multivariate logistic regression analysis were performed to investigate the association of clinical factors with STAS. A nomogram was formulated to predict the presence of STAS. RESULTS: STAS was identified in 617 of 3075 patients (20.07%). STAS was significantly related to sex (p < 0.001), smoking (p < 0.001), CEA (p < 0.001), differentiation (p < 0.001), histopathological type (p < 0.001), lymphatic vessel invasion (p < 0.001), pleural invasion (p < 0.001), T stage (p < 0.001), N stage (p < 0.001), M stage (p < 0.001), and TNM stage (p < 0.001). STAS was frequently found in tumors with wild-type EGFR (p < 0.001), KRAS mutations (p < 0.001), ALK rearrangements (p < 0.001) or ROS1 rearrangements (p < 0.001). For programmed death-1 (PD-1)/programmed death ligand-1 (PD-L1), STAS was associated with PD-L1 expression level in tumor cells (p < 0.001) or stromal cells (p < 0.001), while PD-1 only in stromal cells (p < 0.001). Multivariable analyses demonstrated significant correlations between STAS and CEA level (p < 0.001), pathological grade (p < 0.001), lymphatic vessel invasion (p < 0.001), pleural invasion (p = 0.001), and TNM stage (p = 0.002). A nomogram was formulated based on the results of the multivariable analysis. CONCLUSIONS: Tumor STAS was associated with several invasive clinicopathological features. A nomogram was established to predict the presence of STAS in patients with NSCLC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12890-022-02002-1. BioMed Central 2022-05-26 /pmc/articles/PMC9137206/ /pubmed/35619108 http://dx.doi.org/10.1186/s12890-022-02002-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wang, Shuai Shou, Huankai Wen, Haoyu Wang, Xingxing Wang, Haixing Lu, Chunlai Gu, Jie Xu, Fengkai Zhu, Qiaoliang Wang, Lin Ge, Di An individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer |
title | An individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer |
title_full | An individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer |
title_fullStr | An individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer |
title_full_unstemmed | An individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer |
title_short | An individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer |
title_sort | individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9137206/ https://www.ncbi.nlm.nih.gov/pubmed/35619108 http://dx.doi.org/10.1186/s12890-022-02002-1 |
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