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Prognostic relevance of rib invasion and modification of T description for resected NSCLC patients: A propensity score matching analysis of the SEER database

INTRODUCTION: The impact of rib invasion on the non-small cell lung cancer (NSCLC) T classifications remains unclear. Our study aims to verify the impact of rib invasion on survival in patients with NSCLC through multicenter data from the Surveillance, Epidemiology, and End Results (SEER) database,...

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Autores principales: Chen, Yiyong, Zhang, Juan, Chen, Jing, Yang, Zijie, Ding, Yun, Chen, Wenshu, Guo, Tianxing, Zhao, Lilan, Pan, Xiaojie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846632/
https://www.ncbi.nlm.nih.gov/pubmed/36686764
http://dx.doi.org/10.3389/fonc.2022.1082850
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author Chen, Yiyong
Zhang, Juan
Chen, Jing
Yang, Zijie
Ding, Yun
Chen, Wenshu
Guo, Tianxing
Zhao, Lilan
Pan, Xiaojie
author_facet Chen, Yiyong
Zhang, Juan
Chen, Jing
Yang, Zijie
Ding, Yun
Chen, Wenshu
Guo, Tianxing
Zhao, Lilan
Pan, Xiaojie
author_sort Chen, Yiyong
collection PubMed
description INTRODUCTION: The impact of rib invasion on the non-small cell lung cancer (NSCLC) T classifications remains unclear. Our study aims to verify the impact of rib invasion on survival in patients with NSCLC through multicenter data from the Surveillance, Epidemiology, and End Results (SEER) database, and proposed a more appropriate pT for the forthcoming 9(th) tumor-node-metastasis (TNM) classifications. METHOD: The SEER database was used to collect T(2b-4)N(0-2)M(0) NSCLC cases from the period of 2010-2015 according to the 7(th) TNM classification system. Subsequently, the T classification was restaged according to the 8(th) TNM classification system based on the following codes: tumor size and tumor extension. Cases with T1-2 disease and incomplete clinicopathological information were excluded. Finally, 6479 T3 and T4 NSCLC patients were included in the present study and divided into a rib invasion group (n = 131), other pT3 group (n = 3835), and pT4 group (n = 2513). Propensity-score matching (PSM) balanced the known confounders of the prognosis, resulting in two sets (rib invasion group vs. other pT3 and pT4 group). Overall survival (OS) and cancer-specific survival (CSS) were investigated using Kaplan-Meier survival curves, and predictive factors of OS and CSS were assessed by Cox regression. RESULT: Survival outcomes of the rib invasion group were worse than the other pT3 group (OS: 40.5% vs. 46.5%, p = 0.035; CSS: 49.2% vs. 55.5%, p = 0.047), but comparable to the pT4 group (OS: 40.5% vs. 39.9%, p = 0.876; CSS: 49.2% vs. 46.3%, p = 0.659). Similar results were obtained after PSM. Multivariate analyses for all patients revealed that age at diagnosis, gender, N stage, T stage, surgical modalities, and adjuvant therapy had a predictive value for the prognosis. CONCLUSION: The rib invasion group had a worse prognosis than the other pT3 groups, but was similar to the pT4 group. Our recommendation is to change the classification of rib invasion to pT4 disease and further validate this in the forthcoming 9(th) TNM classification.
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spelling pubmed-98466322023-01-19 Prognostic relevance of rib invasion and modification of T description for resected NSCLC patients: A propensity score matching analysis of the SEER database Chen, Yiyong Zhang, Juan Chen, Jing Yang, Zijie Ding, Yun Chen, Wenshu Guo, Tianxing Zhao, Lilan Pan, Xiaojie Front Oncol Oncology INTRODUCTION: The impact of rib invasion on the non-small cell lung cancer (NSCLC) T classifications remains unclear. Our study aims to verify the impact of rib invasion on survival in patients with NSCLC through multicenter data from the Surveillance, Epidemiology, and End Results (SEER) database, and proposed a more appropriate pT for the forthcoming 9(th) tumor-node-metastasis (TNM) classifications. METHOD: The SEER database was used to collect T(2b-4)N(0-2)M(0) NSCLC cases from the period of 2010-2015 according to the 7(th) TNM classification system. Subsequently, the T classification was restaged according to the 8(th) TNM classification system based on the following codes: tumor size and tumor extension. Cases with T1-2 disease and incomplete clinicopathological information were excluded. Finally, 6479 T3 and T4 NSCLC patients were included in the present study and divided into a rib invasion group (n = 131), other pT3 group (n = 3835), and pT4 group (n = 2513). Propensity-score matching (PSM) balanced the known confounders of the prognosis, resulting in two sets (rib invasion group vs. other pT3 and pT4 group). Overall survival (OS) and cancer-specific survival (CSS) were investigated using Kaplan-Meier survival curves, and predictive factors of OS and CSS were assessed by Cox regression. RESULT: Survival outcomes of the rib invasion group were worse than the other pT3 group (OS: 40.5% vs. 46.5%, p = 0.035; CSS: 49.2% vs. 55.5%, p = 0.047), but comparable to the pT4 group (OS: 40.5% vs. 39.9%, p = 0.876; CSS: 49.2% vs. 46.3%, p = 0.659). Similar results were obtained after PSM. Multivariate analyses for all patients revealed that age at diagnosis, gender, N stage, T stage, surgical modalities, and adjuvant therapy had a predictive value for the prognosis. CONCLUSION: The rib invasion group had a worse prognosis than the other pT3 groups, but was similar to the pT4 group. Our recommendation is to change the classification of rib invasion to pT4 disease and further validate this in the forthcoming 9(th) TNM classification. Frontiers Media S.A. 2023-01-04 /pmc/articles/PMC9846632/ /pubmed/36686764 http://dx.doi.org/10.3389/fonc.2022.1082850 Text en Copyright © 2023 Chen, Zhang, Chen, Yang, Ding, Chen, Guo, Zhao and Pan 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
Chen, Yiyong
Zhang, Juan
Chen, Jing
Yang, Zijie
Ding, Yun
Chen, Wenshu
Guo, Tianxing
Zhao, Lilan
Pan, Xiaojie
Prognostic relevance of rib invasion and modification of T description for resected NSCLC patients: A propensity score matching analysis of the SEER database
title Prognostic relevance of rib invasion and modification of T description for resected NSCLC patients: A propensity score matching analysis of the SEER database
title_full Prognostic relevance of rib invasion and modification of T description for resected NSCLC patients: A propensity score matching analysis of the SEER database
title_fullStr Prognostic relevance of rib invasion and modification of T description for resected NSCLC patients: A propensity score matching analysis of the SEER database
title_full_unstemmed Prognostic relevance of rib invasion and modification of T description for resected NSCLC patients: A propensity score matching analysis of the SEER database
title_short Prognostic relevance of rib invasion and modification of T description for resected NSCLC patients: A propensity score matching analysis of the SEER database
title_sort prognostic relevance of rib invasion and modification of t description for resected nsclc patients: a propensity score matching analysis of the seer database
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846632/
https://www.ncbi.nlm.nih.gov/pubmed/36686764
http://dx.doi.org/10.3389/fonc.2022.1082850
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