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Comparison of Conventional TNM and Novel TNMB Staging Systems for Non–Small Cell Lung Cancer

IMPORTANCE: Improved staging for non–small cell lung cancer (NSCLC) represents a critical unmet need. External validations of the eighth edition of the TNM staging system have yielded disappointing results, with persistently high mortality observed in early-stage disease. OBJECTIVE: To determine whe...

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Autores principales: Haro, Greg J., Sheu, Bonnie, Cook, Nancy R., Woodard, Gavitt A., Mann, Michael J., Kratz, Johannes R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902768/
https://www.ncbi.nlm.nih.gov/pubmed/31808928
http://dx.doi.org/10.1001/jamanetworkopen.2019.17062
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author Haro, Greg J.
Sheu, Bonnie
Cook, Nancy R.
Woodard, Gavitt A.
Mann, Michael J.
Kratz, Johannes R.
author_facet Haro, Greg J.
Sheu, Bonnie
Cook, Nancy R.
Woodard, Gavitt A.
Mann, Michael J.
Kratz, Johannes R.
author_sort Haro, Greg J.
collection PubMed
description IMPORTANCE: Improved staging for non–small cell lung cancer (NSCLC) represents a critical unmet need. External validations of the eighth edition of the TNM staging system have yielded disappointing results, with persistently high mortality observed in early-stage disease. OBJECTIVE: To determine whether incorporation of a molecular prognostic classifier into conventional TNM staging for NSCLC improves estimation of disease-free survival. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted at an academic, quaternary care medical center from 2012 to 2018. A consecutive series of 238 patients underwent surgical resection of stage I to IIIC nonsquamous NSCLC and had molecular prognostic classifier testing performed. Data analysis was conducted in May 2019. EXPOSURES: Patients were restaged according to the seventh and eighth editions of the TNM staging system and the novel TMMB staging system, which maintains the order and structure of the eighth edition of the TNM but downstages or upstages according to low or high molecular risk, respectively. MAIN OUTCOMES AND MEASURES: The primary outcome was disease-free survival 3 years from the time of surgical resection. Reclassification statistics were then used to evaluate performance and improvement measures of the TNM seventh and eighth editions and the TNMB staging system. RESULTS: Two hundred thirty-eight patients (144 [60.5%] female; median [interquartile range] age, 70 [63-75] years) were analyzed. The median (interquartile range) follow-up was 25 (14-40) months, and the disease-free survival rate was estimated to be 58.3% (95% CI, 45.7% to 69.0%). One hundred fifty-nine patients (66.8%) were reclassified by the TNMB staging system. Overall model fit remained the same for the seventh and eighth editions of the TNM staging system, whereas the R(2) statistic (change from 0.22 to 0.31), concordance index (change from 0.68 to 0.73), and log-rank χ(2) (change from 38 to 108) were all associated with improvements after TNMB adoption. The TNMB system, compared with the TNM eighth edition, was associated with enhanced identification of high-risk patients and better differentiation of those without recurrence from those who had recurrence (net reclassification improvement, 0.28; 95% CI, 0.08 to 0.46; P < .001), whereas the eighth edition compared with the seventh edition was not associated with improvement of this measure (net reclassification improvement, 0.02; 95% CI, –0.18 to 0.21; P = .87). CONCLUSIONS AND RELEVANCE: The TNMB staging system was associated with improved estimation of disease-free survival compared with conventional TNM staging. Incorporation of a molecular prognostic classifier into staging for NSCLC may lead to better identification of high-risk patients.
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spelling pubmed-69027682019-12-24 Comparison of Conventional TNM and Novel TNMB Staging Systems for Non–Small Cell Lung Cancer Haro, Greg J. Sheu, Bonnie Cook, Nancy R. Woodard, Gavitt A. Mann, Michael J. Kratz, Johannes R. JAMA Netw Open Original Investigation IMPORTANCE: Improved staging for non–small cell lung cancer (NSCLC) represents a critical unmet need. External validations of the eighth edition of the TNM staging system have yielded disappointing results, with persistently high mortality observed in early-stage disease. OBJECTIVE: To determine whether incorporation of a molecular prognostic classifier into conventional TNM staging for NSCLC improves estimation of disease-free survival. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted at an academic, quaternary care medical center from 2012 to 2018. A consecutive series of 238 patients underwent surgical resection of stage I to IIIC nonsquamous NSCLC and had molecular prognostic classifier testing performed. Data analysis was conducted in May 2019. EXPOSURES: Patients were restaged according to the seventh and eighth editions of the TNM staging system and the novel TMMB staging system, which maintains the order and structure of the eighth edition of the TNM but downstages or upstages according to low or high molecular risk, respectively. MAIN OUTCOMES AND MEASURES: The primary outcome was disease-free survival 3 years from the time of surgical resection. Reclassification statistics were then used to evaluate performance and improvement measures of the TNM seventh and eighth editions and the TNMB staging system. RESULTS: Two hundred thirty-eight patients (144 [60.5%] female; median [interquartile range] age, 70 [63-75] years) were analyzed. The median (interquartile range) follow-up was 25 (14-40) months, and the disease-free survival rate was estimated to be 58.3% (95% CI, 45.7% to 69.0%). One hundred fifty-nine patients (66.8%) were reclassified by the TNMB staging system. Overall model fit remained the same for the seventh and eighth editions of the TNM staging system, whereas the R(2) statistic (change from 0.22 to 0.31), concordance index (change from 0.68 to 0.73), and log-rank χ(2) (change from 38 to 108) were all associated with improvements after TNMB adoption. The TNMB system, compared with the TNM eighth edition, was associated with enhanced identification of high-risk patients and better differentiation of those without recurrence from those who had recurrence (net reclassification improvement, 0.28; 95% CI, 0.08 to 0.46; P < .001), whereas the eighth edition compared with the seventh edition was not associated with improvement of this measure (net reclassification improvement, 0.02; 95% CI, –0.18 to 0.21; P = .87). CONCLUSIONS AND RELEVANCE: The TNMB staging system was associated with improved estimation of disease-free survival compared with conventional TNM staging. Incorporation of a molecular prognostic classifier into staging for NSCLC may lead to better identification of high-risk patients. American Medical Association 2019-12-06 /pmc/articles/PMC6902768/ /pubmed/31808928 http://dx.doi.org/10.1001/jamanetworkopen.2019.17062 Text en Copyright 2019 Haro GJ et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Haro, Greg J.
Sheu, Bonnie
Cook, Nancy R.
Woodard, Gavitt A.
Mann, Michael J.
Kratz, Johannes R.
Comparison of Conventional TNM and Novel TNMB Staging Systems for Non–Small Cell Lung Cancer
title Comparison of Conventional TNM and Novel TNMB Staging Systems for Non–Small Cell Lung Cancer
title_full Comparison of Conventional TNM and Novel TNMB Staging Systems for Non–Small Cell Lung Cancer
title_fullStr Comparison of Conventional TNM and Novel TNMB Staging Systems for Non–Small Cell Lung Cancer
title_full_unstemmed Comparison of Conventional TNM and Novel TNMB Staging Systems for Non–Small Cell Lung Cancer
title_short Comparison of Conventional TNM and Novel TNMB Staging Systems for Non–Small Cell Lung Cancer
title_sort comparison of conventional tnm and novel tnmb staging systems for non–small cell lung cancer
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902768/
https://www.ncbi.nlm.nih.gov/pubmed/31808928
http://dx.doi.org/10.1001/jamanetworkopen.2019.17062
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