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Tumor size as a predictor for prognosis of patients with surgical IIIA-N2 non-small cell lung cancer after surgery
BACKGROUND: The 8(th) edition of the American Joint Committee on Cancer staging system for lung cancer made major revisions to T staging, especially the size division of stage II/III patients. However, the value of tumor size in the postoperative prognosis of IIIA–N2 non-small cell lung cancer (NSCL...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339790/ https://www.ncbi.nlm.nih.gov/pubmed/34422341 http://dx.doi.org/10.21037/jtd-21-428 |
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author | Zhang, Kunpeng Cai, Jiahao Lu, Chunlai Zhu, Qiaoliang Zhan, Cheng Shen, Yaxing Gu, Jie Ge, Di |
author_facet | Zhang, Kunpeng Cai, Jiahao Lu, Chunlai Zhu, Qiaoliang Zhan, Cheng Shen, Yaxing Gu, Jie Ge, Di |
author_sort | Zhang, Kunpeng |
collection | PubMed |
description | BACKGROUND: The 8(th) edition of the American Joint Committee on Cancer staging system for lung cancer made major revisions to T staging, especially the size division of stage II/III patients. However, the value of tumor size in the postoperative prognosis of IIIA–N2 non-small cell lung cancer (NSCLC) is seldom mentioned, and survival data of such patients should be re-evaluated according to the 8(th) edition staging system. METHODS: Patients with IIIA-N2 NSCLC after surgery were identified in the Surveillance, Epidemiology, and End Results database (n=4,128). All patients were stratified according to tumor size, 5-year overall survival (OS) was then compared. Cox regression analysis was used to determine the value of size to discriminate patients with prognostic differences and establish a predictive nomogram system. Patients with IIIA-N2 NSCLC from our own institute (n=583) were used to validate the results. RESULTS: The prognosis of patients with tumor sizes of 0–2, 2–4 and 4–5 cm differed greatly from each other in the training cohort, with 5-year OS rates of 53.7%, 43.9% and 36.9% respectively (P<0.001), in the validation cohort, the rates were 54.1%, 38.4% and 33.8% respectively. Tumor size >2 cm was considered an independent risk factor compared to the ≤2 cm group in the Cox regression analysis: 2–4 cm (HR =1.25, 1.12–1.39; P<0.001), 4–5 cm (HR =1.51, 1.32–1.39; P<0.001), the validation cohort showed the same trend. The concordance index of the training set was 0.634 (0.622–0.646), while that of the validation set was 0.716 (0.686–0.746). The calibration plot showed optimal consistency between the nomogram predicted survival and observed survival. CONCLUSIONS: Tumors with different sizes showed significant postoperative survival differences among patients with IIIA-N2 NSCLC. Tumor size should be considered when making surgery decisions in such patients, with tumor size ≤2 cm showing considerably better prognosis. |
format | Online Article Text |
id | pubmed-8339790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-83397902021-08-20 Tumor size as a predictor for prognosis of patients with surgical IIIA-N2 non-small cell lung cancer after surgery Zhang, Kunpeng Cai, Jiahao Lu, Chunlai Zhu, Qiaoliang Zhan, Cheng Shen, Yaxing Gu, Jie Ge, Di J Thorac Dis Original Article BACKGROUND: The 8(th) edition of the American Joint Committee on Cancer staging system for lung cancer made major revisions to T staging, especially the size division of stage II/III patients. However, the value of tumor size in the postoperative prognosis of IIIA–N2 non-small cell lung cancer (NSCLC) is seldom mentioned, and survival data of such patients should be re-evaluated according to the 8(th) edition staging system. METHODS: Patients with IIIA-N2 NSCLC after surgery were identified in the Surveillance, Epidemiology, and End Results database (n=4,128). All patients were stratified according to tumor size, 5-year overall survival (OS) was then compared. Cox regression analysis was used to determine the value of size to discriminate patients with prognostic differences and establish a predictive nomogram system. Patients with IIIA-N2 NSCLC from our own institute (n=583) were used to validate the results. RESULTS: The prognosis of patients with tumor sizes of 0–2, 2–4 and 4–5 cm differed greatly from each other in the training cohort, with 5-year OS rates of 53.7%, 43.9% and 36.9% respectively (P<0.001), in the validation cohort, the rates were 54.1%, 38.4% and 33.8% respectively. Tumor size >2 cm was considered an independent risk factor compared to the ≤2 cm group in the Cox regression analysis: 2–4 cm (HR =1.25, 1.12–1.39; P<0.001), 4–5 cm (HR =1.51, 1.32–1.39; P<0.001), the validation cohort showed the same trend. The concordance index of the training set was 0.634 (0.622–0.646), while that of the validation set was 0.716 (0.686–0.746). The calibration plot showed optimal consistency between the nomogram predicted survival and observed survival. CONCLUSIONS: Tumors with different sizes showed significant postoperative survival differences among patients with IIIA-N2 NSCLC. Tumor size should be considered when making surgery decisions in such patients, with tumor size ≤2 cm showing considerably better prognosis. AME Publishing Company 2021-07 /pmc/articles/PMC8339790/ /pubmed/34422341 http://dx.doi.org/10.21037/jtd-21-428 Text en 2021 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Zhang, Kunpeng Cai, Jiahao Lu, Chunlai Zhu, Qiaoliang Zhan, Cheng Shen, Yaxing Gu, Jie Ge, Di Tumor size as a predictor for prognosis of patients with surgical IIIA-N2 non-small cell lung cancer after surgery |
title | Tumor size as a predictor for prognosis of patients with surgical IIIA-N2 non-small cell lung cancer after surgery |
title_full | Tumor size as a predictor for prognosis of patients with surgical IIIA-N2 non-small cell lung cancer after surgery |
title_fullStr | Tumor size as a predictor for prognosis of patients with surgical IIIA-N2 non-small cell lung cancer after surgery |
title_full_unstemmed | Tumor size as a predictor for prognosis of patients with surgical IIIA-N2 non-small cell lung cancer after surgery |
title_short | Tumor size as a predictor for prognosis of patients with surgical IIIA-N2 non-small cell lung cancer after surgery |
title_sort | tumor size as a predictor for prognosis of patients with surgical iiia-n2 non-small cell lung cancer after surgery |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339790/ https://www.ncbi.nlm.nih.gov/pubmed/34422341 http://dx.doi.org/10.21037/jtd-21-428 |
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