A Nomogram for Predicting Cancer-Specific Survival of TNM 8th Edition Stage I Non-small-cell Lung Cancer

Yuan Zeng; Nicholas Mayne; Chi Fu Jeffrey Yang; Thomas A. D’Amico; Calvin S.H. Ng; Chia chuan Liu; René Horsleben Petersen; Gaetano Rocco; Alessandro Brunelli; Jun Liu; Yang Liu; Weizhe Huang; Jiaxi He; Wei Wang; Long Jiang; Fei Cui; Wenjun Wang; Wenhua Liang; Jianxing He; the AME Thoracic Surgery Collaborative Group

doi:10.1245/s10434-019-07318-7

A Nomogram for Predicting Cancer-Specific Survival of TNM 8th Edition Stage I Non-small-cell Lung Cancer

Yuan Zeng, Nicholas Mayne, Chi Fu Jeffrey Yang, Thomas A. D’Amico, Calvin S.H. Ng, Chia chuan Liu, René Horsleben Petersen, Gaetano Rocco, Alessandro Brunelli, Jun Liu, Yang Liu, Weizhe Huang, Jiaxi He, Wei Wang, Long Jiang, Fei Cui, Wenjun Wang, Wenhua Liang^*, Jianxing He^*, the AME Thoracic Surgery Collaborative Group

^*Corresponding author for this work

Department of Clinical Medicine

18 Citations (Scopus)

Abstract

Background. Models for predicting the survival outcomes of stage I non-small-cell lung cancer (NSCLC) defined by the newly released 8th edition TNM staging system are scarce. This study aimed to develop a nomogram for predicting the cancer-specific survival (CSS) of these patients and identifying individuals with a higher risk for CSS. Methods. A total of 30,475 NSCLC cases were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. We identified and integrated the risk factors to build a nomogram. The model was subjected to bootstrap internal validation with the SEER database, and external validation with a multicenter cohort of 1133 patients from China. The difference in the impact of adjuvant chemotherapy on model-defined high-and lowrisk patients was examined using the National Cancer Database (NCDB). Results. Eight independent prognostic factors were identified and integrated into the model. The calibration curves showed good agreement. The concordance index (C-index) of the nomogram was higher than that of the staging system (IA1, IA2, IA3, and IB) (internal validation set 0.63 vs. 0.56; external validation set 0.66 vs. 0.55; both p *lt; 0.01). Specifically, 21.7% of stage IB patients (7.5% of all stage I) were categorized into the high-risk group (score[30). There was a significant interaction effect between the adjuvant chemotherapy and risk groups in the NCDB cohort (p = 0.003). Conclusions. We established a practical nomogram to predict CSS for 8th edition stage I NSCLC. A prospective study is warranted to determine its role in identifying adjuvant chemotherapy candidates.

Original language	English
Journal	Annals of Surgical Oncology
Volume	26
Issue number	7
Pages (from-to)	2053-2062
ISSN	1068-9265
DOIs	https://doi.org/10.1245/s10434-019-07318-7
Publication status	Published - Jul 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1245/s10434-019-07318-7

Cite this

Zeng, Y., Mayne, N., Yang, C. F. J., D’Amico, T. A., Ng, C. S. H., Liu, C. C., Petersen, R. H., Rocco, G., Brunelli, A., Liu, J., Liu, Y., Huang, W., He, J., Wang, W., Jiang, L., Cui, F., Wang, W., Liang, W., He, J., & the AME Thoracic Surgery Collaborative Group (2019). A Nomogram for Predicting Cancer-Specific Survival of TNM 8th Edition Stage I Non-small-cell Lung Cancer. Annals of Surgical Oncology, 26(7), 2053-2062. https://doi.org/10.1245/s10434-019-07318-7

Zeng, Y, Mayne, N, Yang, CFJ, D’Amico, TA, Ng, CSH, Liu, CC, Petersen, RH, Rocco, G, Brunelli, A, Liu, J, Liu, Y, Huang, W, He, J, Wang, W, Jiang, L, Cui, F, Wang, W, Liang, W, He, J & the AME Thoracic Surgery Collaborative Group 2019, 'A Nomogram for Predicting Cancer-Specific Survival of TNM 8th Edition Stage I Non-small-cell Lung Cancer', Annals of Surgical Oncology, vol. 26, no. 7, pp. 2053-2062. https://doi.org/10.1245/s10434-019-07318-7

@article{09554558b5404c91ae00855b8d7ed217,

title = "A Nomogram for Predicting Cancer-Specific Survival of TNM 8th Edition Stage I Non-small-cell Lung Cancer",

abstract = "Background. Models for predicting the survival outcomes of stage I non-small-cell lung cancer (NSCLC) defined by the newly released 8th edition TNM staging system are scarce. This study aimed to develop a nomogram for predicting the cancer-specific survival (CSS) of these patients and identifying individuals with a higher risk for CSS. Methods. A total of 30,475 NSCLC cases were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. We identified and integrated the risk factors to build a nomogram. The model was subjected to bootstrap internal validation with the SEER database, and external validation with a multicenter cohort of 1133 patients from China. The difference in the impact of adjuvant chemotherapy on model-defined high-and lowrisk patients was examined using the National Cancer Database (NCDB). Results. Eight independent prognostic factors were identified and integrated into the model. The calibration curves showed good agreement. The concordance index (C-index) of the nomogram was higher than that of the staging system (IA1, IA2, IA3, and IB) (internal validation set 0.63 vs. 0.56; external validation set 0.66 vs. 0.55; both p *lt; 0.01). Specifically, 21.7% of stage IB patients (7.5% of all stage I) were categorized into the high-risk group (score[30). There was a significant interaction effect between the adjuvant chemotherapy and risk groups in the NCDB cohort (p = 0.003). Conclusions. We established a practical nomogram to predict CSS for 8th edition stage I NSCLC. A prospective study is warranted to determine its role in identifying adjuvant chemotherapy candidates.",

author = "Yuan Zeng and Nicholas Mayne and Yang, {Chi Fu Jeffrey} and D{\textquoteright}Amico, {Thomas A.} and Ng, {Calvin S.H.} and Liu, {Chia chuan} and Petersen, {Ren{\'e} Horsleben} and Gaetano Rocco and Alessandro Brunelli and Jun Liu and Yang Liu and Weizhe Huang and Jiaxi He and Wei Wang and Long Jiang and Fei Cui and Wenjun Wang and Wenhua Liang and Jianxing He and {the AME Thoracic Surgery Collaborative Group}",

year = "2019",

month = jul,

doi = "10.1245/s10434-019-07318-7",

language = "English",

volume = "26",

pages = "2053--2062",

journal = "Annals of Surgical Oncology",

issn = "1068-9265",

publisher = "Springer",

number = "7",

}

TY - JOUR

T1 - A Nomogram for Predicting Cancer-Specific Survival of TNM 8th Edition Stage I Non-small-cell Lung Cancer

AU - Zeng, Yuan

AU - Mayne, Nicholas

AU - Yang, Chi Fu Jeffrey

AU - D’Amico, Thomas A.

AU - Ng, Calvin S.H.

AU - Liu, Chia chuan

AU - Petersen, René Horsleben

AU - Rocco, Gaetano

AU - Brunelli, Alessandro

AU - Liu, Jun

AU - Liu, Yang

AU - Huang, Weizhe

AU - He, Jiaxi

AU - Wang, Wei

AU - Jiang, Long

AU - Cui, Fei

AU - Wang, Wenjun

AU - Liang, Wenhua

AU - He, Jianxing

AU - the AME Thoracic Surgery Collaborative Group

PY - 2019/7

Y1 - 2019/7

N2 - Background. Models for predicting the survival outcomes of stage I non-small-cell lung cancer (NSCLC) defined by the newly released 8th edition TNM staging system are scarce. This study aimed to develop a nomogram for predicting the cancer-specific survival (CSS) of these patients and identifying individuals with a higher risk for CSS. Methods. A total of 30,475 NSCLC cases were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. We identified and integrated the risk factors to build a nomogram. The model was subjected to bootstrap internal validation with the SEER database, and external validation with a multicenter cohort of 1133 patients from China. The difference in the impact of adjuvant chemotherapy on model-defined high-and lowrisk patients was examined using the National Cancer Database (NCDB). Results. Eight independent prognostic factors were identified and integrated into the model. The calibration curves showed good agreement. The concordance index (C-index) of the nomogram was higher than that of the staging system (IA1, IA2, IA3, and IB) (internal validation set 0.63 vs. 0.56; external validation set 0.66 vs. 0.55; both p *lt; 0.01). Specifically, 21.7% of stage IB patients (7.5% of all stage I) were categorized into the high-risk group (score[30). There was a significant interaction effect between the adjuvant chemotherapy and risk groups in the NCDB cohort (p = 0.003). Conclusions. We established a practical nomogram to predict CSS for 8th edition stage I NSCLC. A prospective study is warranted to determine its role in identifying adjuvant chemotherapy candidates.

AB - Background. Models for predicting the survival outcomes of stage I non-small-cell lung cancer (NSCLC) defined by the newly released 8th edition TNM staging system are scarce. This study aimed to develop a nomogram for predicting the cancer-specific survival (CSS) of these patients and identifying individuals with a higher risk for CSS. Methods. A total of 30,475 NSCLC cases were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. We identified and integrated the risk factors to build a nomogram. The model was subjected to bootstrap internal validation with the SEER database, and external validation with a multicenter cohort of 1133 patients from China. The difference in the impact of adjuvant chemotherapy on model-defined high-and lowrisk patients was examined using the National Cancer Database (NCDB). Results. Eight independent prognostic factors were identified and integrated into the model. The calibration curves showed good agreement. The concordance index (C-index) of the nomogram was higher than that of the staging system (IA1, IA2, IA3, and IB) (internal validation set 0.63 vs. 0.56; external validation set 0.66 vs. 0.55; both p *lt; 0.01). Specifically, 21.7% of stage IB patients (7.5% of all stage I) were categorized into the high-risk group (score[30). There was a significant interaction effect between the adjuvant chemotherapy and risk groups in the NCDB cohort (p = 0.003). Conclusions. We established a practical nomogram to predict CSS for 8th edition stage I NSCLC. A prospective study is warranted to determine its role in identifying adjuvant chemotherapy candidates.

U2 - 10.1245/s10434-019-07318-7

DO - 10.1245/s10434-019-07318-7

M3 - Journal article

C2 - 30900105

AN - SCOPUS:85063214431

SN - 1068-9265

VL - 26

SP - 2053

EP - 2062

JO - Annals of Surgical Oncology

JF - Annals of Surgical Oncology

IS - 7

ER -

A Nomogram for Predicting Cancer-Specific Survival of TNM 8th Edition Stage I Non-small-cell Lung Cancer

Abstract

UN SDGs

Access to Document

Fingerprint

Cite this