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Prognostic impact of tumor spread through air spaces for T2aN0 stage IB non‐small cell lung cancer

BACKGROUND: Spread through air spaces (STAS) is a pattern of invasion recently identified in non‐small cell lung cancer (NSCLC), with a poor prognosis. However, the predictive impact of STAS in stage IB NSCLC is not well understood. This investigation aims to assess the prognostic influence of STAS...

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Autores principales: Chen, Zixuan, Wu, Xianqiao, Fang, Tianzheng, Ge, Zhen, Liu, Jiayuan, Wu, Qinglong, Zhou, Lin, Shen, Jianfei, Zhou, Chengwei
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/PMC10417161/
https://www.ncbi.nlm.nih.gov/pubmed/37278137
http://dx.doi.org/10.1002/cam4.6211
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author Chen, Zixuan
Wu, Xianqiao
Fang, Tianzheng
Ge, Zhen
Liu, Jiayuan
Wu, Qinglong
Zhou, Lin
Shen, Jianfei
Zhou, Chengwei
author_facet Chen, Zixuan
Wu, Xianqiao
Fang, Tianzheng
Ge, Zhen
Liu, Jiayuan
Wu, Qinglong
Zhou, Lin
Shen, Jianfei
Zhou, Chengwei
author_sort Chen, Zixuan
collection PubMed
description BACKGROUND: Spread through air spaces (STAS) is a pattern of invasion recently identified in non‐small cell lung cancer (NSCLC), with a poor prognosis. However, the predictive impact of STAS in stage IB NSCLC is not well understood. This investigation aims to assess the prognostic influence of STAS in stage IB NSCLC. METHODS: We reviewed 130 resected stage IB NSCLC between 2010 and 2015. Beyond the central tumor edge, lung parenchymal air gaps containing cancer cells were identified as STAS. In order to estimate recurrence‐free survival (RFS) and overall survival (OS), Cox models and Kaplan–Meier techniques were utilized. Logistic regression analysis was employed to define the factors influencing STAS. RESULTS: Of 130 patients, 72 (55.4%) had STAS. STAS was a significant prognosticator. Kaplan–Meier method showed that STAS‐positive patients had a significantly lower OS and RFS than STAS‐negative patients (5‐year OS, 66.5% vs. 90.4%, p = 0.02; 5‐year RFS, 59.5% vs. 89.7%, p = 0.004) In a semiquantitative assessment, the RFS and OS were shorter in survival analysis when STAS increased (5‐year RFS, 89.7%, no STAS, 61.8%, low STAS, 57.2%, high STAS, p = 0.013; 5‐year OS, 90.4%, no STAS, 78.3%, low STAS, 57.2%, high STAS, p = 0.002). The association between STAS and poor differentiation, adenocarcinoma, and vascular invasion (p value was <0.001, 0.047, and 0.041, respectively) was statistically significant. CONCLUSIONS: The STAS is an aggressive pathological feature. RFS and OS could be significantly reduced by STAS, while it also serves as an independent predictor.
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spelling pubmed-104171612023-08-12 Prognostic impact of tumor spread through air spaces for T2aN0 stage IB non‐small cell lung cancer Chen, Zixuan Wu, Xianqiao Fang, Tianzheng Ge, Zhen Liu, Jiayuan Wu, Qinglong Zhou, Lin Shen, Jianfei Zhou, Chengwei Cancer Med RESEARCH ARTICLES BACKGROUND: Spread through air spaces (STAS) is a pattern of invasion recently identified in non‐small cell lung cancer (NSCLC), with a poor prognosis. However, the predictive impact of STAS in stage IB NSCLC is not well understood. This investigation aims to assess the prognostic influence of STAS in stage IB NSCLC. METHODS: We reviewed 130 resected stage IB NSCLC between 2010 and 2015. Beyond the central tumor edge, lung parenchymal air gaps containing cancer cells were identified as STAS. In order to estimate recurrence‐free survival (RFS) and overall survival (OS), Cox models and Kaplan–Meier techniques were utilized. Logistic regression analysis was employed to define the factors influencing STAS. RESULTS: Of 130 patients, 72 (55.4%) had STAS. STAS was a significant prognosticator. Kaplan–Meier method showed that STAS‐positive patients had a significantly lower OS and RFS than STAS‐negative patients (5‐year OS, 66.5% vs. 90.4%, p = 0.02; 5‐year RFS, 59.5% vs. 89.7%, p = 0.004) In a semiquantitative assessment, the RFS and OS were shorter in survival analysis when STAS increased (5‐year RFS, 89.7%, no STAS, 61.8%, low STAS, 57.2%, high STAS, p = 0.013; 5‐year OS, 90.4%, no STAS, 78.3%, low STAS, 57.2%, high STAS, p = 0.002). The association between STAS and poor differentiation, adenocarcinoma, and vascular invasion (p value was <0.001, 0.047, and 0.041, respectively) was statistically significant. CONCLUSIONS: The STAS is an aggressive pathological feature. RFS and OS could be significantly reduced by STAS, while it also serves as an independent predictor. John Wiley and Sons Inc. 2023-06-06 /pmc/articles/PMC10417161/ /pubmed/37278137 http://dx.doi.org/10.1002/cam4.6211 Text en © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
Chen, Zixuan
Wu, Xianqiao
Fang, Tianzheng
Ge, Zhen
Liu, Jiayuan
Wu, Qinglong
Zhou, Lin
Shen, Jianfei
Zhou, Chengwei
Prognostic impact of tumor spread through air spaces for T2aN0 stage IB non‐small cell lung cancer
title Prognostic impact of tumor spread through air spaces for T2aN0 stage IB non‐small cell lung cancer
title_full Prognostic impact of tumor spread through air spaces for T2aN0 stage IB non‐small cell lung cancer
title_fullStr Prognostic impact of tumor spread through air spaces for T2aN0 stage IB non‐small cell lung cancer
title_full_unstemmed Prognostic impact of tumor spread through air spaces for T2aN0 stage IB non‐small cell lung cancer
title_short Prognostic impact of tumor spread through air spaces for T2aN0 stage IB non‐small cell lung cancer
title_sort prognostic impact of tumor spread through air spaces for t2an0 stage ib non‐small cell lung cancer
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417161/
https://www.ncbi.nlm.nih.gov/pubmed/37278137
http://dx.doi.org/10.1002/cam4.6211
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