Development of a Survival Prognostic Model for Non-small Cell Lung Cancer

Lung cancer is a leading cause of cancer-related death, and >80% of lung cancer diagnoses are non-small-cell lung cancer (NSCLC). However, when using current staging and prognostic indices, the prognosis can vary significantly. In the present study, we calculated a prognostic index for predic...

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Main Authors: Yue-Hua Zhang, Yuquan Lu, Hong Lu, Yue-Min Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Oncology
Subjects:
TNM
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.00362/full
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spelling doaj-01124d02c047482dbf03f7ab42656db72020-11-25T02:57:38ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-03-011010.3389/fonc.2020.00362489038Development of a Survival Prognostic Model for Non-small Cell Lung CancerYue-Hua Zhang0Yue-Hua Zhang1Yuquan Lu2Hong Lu3Yue-Min Zhou4Department of Oncology, The First Affiliated Hospital of Henan University, Kaifeng, ChinaDepartment of Oncology, Huaihe Hospital of Henan University, Kaifeng, ChinaInternational Joint Research Laboratory for Cell Medical Engineering of Henan, Huaihe Hospital of Henan University, Kaifeng, ChinaDepartment of Oncology, Huaihe Hospital of Henan University, Kaifeng, ChinaInternational Joint Research Laboratory for Cell Medical Engineering of Henan, Huaihe Hospital of Henan University, Kaifeng, ChinaLung cancer is a leading cause of cancer-related death, and >80% of lung cancer diagnoses are non-small-cell lung cancer (NSCLC). However, when using current staging and prognostic indices, the prognosis can vary significantly. In the present study, we calculated a prognostic index for predicting overall survival (OS) in NSCLC patients. The data of 545 NSCLC patients were retrospectively reviewed. Univariate and multivariate Cox proportional hazards regression analyses were performed to evaluate the prognostic value of clinicopathological factors. Age (hazard ratio [HR] = 1.25, 95% confidence interval [CI] = 1.02–1.54), TNM stage (III, HR = 1.64, 95% CI = 1.08–2.48; IV, HR = 2.33, 95% CI = 1.48–3.69), lung lobectomy (HR = 1.96, 95% CI = 1.45–2.66), chemotherapy (HR = 1.42, 95% CI = 1.15–1.74), and pretreatment hemoglobin level (HR = 1.61, 95% CI = 1.28–2.02) were independent prognosticators. A prognostic index for NSCLC (PInscl, 0–6 points) was calculated based on age (≥65 years, 1 point), tumor-node-metastasis (TNM) stage (III, 1 point; IV, 2 points), lung lobectomy (no, 1 point), chemotherapy (no, 1 point), and pretreatment hemoglobin level (low, 1 point). In comparison with the “PInscl = 0” subgroup (survival time = 2.71 ± 1.86 years), the “PInscl = 2” subgroup (survival time = 1.86 ± 1.24 years), “PInscl = 3” subgroup (survival time = 1.45 ± 1.07 years), “PInscl = 4” subgroup (survival time = 1.17 ± 1.06 years), “PInscl = 5” subgroup (survival time = 0.81 ± 0.78 years), and “PInscl = 6” subgroup (survival time = 0.65 ± 0.56 years) exhibited significantly shorter survival times. Kaplan-Meier survival analysis showed that patients with higher PInscl scores had poorer OS than those with lower scores (log-rank test: χ2 = 155.82, P < 0.0001). The area under the curve of PInscl for predicting the 1-year OS was 0.73 (95 % CI = 0.69–0.77, P < 0.001), and the PInscl had a better diagnostic performance than the Karnofsky performance status or TNM stage (P < 0.01). In conclusion, the PInscl, which is calculated from age, TNM stage, lung lobectomy, chemotherapy, and pretreatment hemoglobin level, significantly predicted OS in NSCLC patients.https://www.frontiersin.org/article/10.3389/fonc.2020.00362/fullprognostic modelnon-small cell lung canceroverall survivalhemoglobinTNM
collection DOAJ
language English
format Article
sources DOAJ
author Yue-Hua Zhang
Yue-Hua Zhang
Yuquan Lu
Hong Lu
Yue-Min Zhou
spellingShingle Yue-Hua Zhang
Yue-Hua Zhang
Yuquan Lu
Hong Lu
Yue-Min Zhou
Development of a Survival Prognostic Model for Non-small Cell Lung Cancer
Frontiers in Oncology
prognostic model
non-small cell lung cancer
overall survival
hemoglobin
TNM
author_facet Yue-Hua Zhang
Yue-Hua Zhang
Yuquan Lu
Hong Lu
Yue-Min Zhou
author_sort Yue-Hua Zhang
title Development of a Survival Prognostic Model for Non-small Cell Lung Cancer
title_short Development of a Survival Prognostic Model for Non-small Cell Lung Cancer
title_full Development of a Survival Prognostic Model for Non-small Cell Lung Cancer
title_fullStr Development of a Survival Prognostic Model for Non-small Cell Lung Cancer
title_full_unstemmed Development of a Survival Prognostic Model for Non-small Cell Lung Cancer
title_sort development of a survival prognostic model for non-small cell lung cancer
publisher Frontiers Media S.A.
series Frontiers in Oncology
issn 2234-943X
publishDate 2020-03-01
description Lung cancer is a leading cause of cancer-related death, and >80% of lung cancer diagnoses are non-small-cell lung cancer (NSCLC). However, when using current staging and prognostic indices, the prognosis can vary significantly. In the present study, we calculated a prognostic index for predicting overall survival (OS) in NSCLC patients. The data of 545 NSCLC patients were retrospectively reviewed. Univariate and multivariate Cox proportional hazards regression analyses were performed to evaluate the prognostic value of clinicopathological factors. Age (hazard ratio [HR] = 1.25, 95% confidence interval [CI] = 1.02–1.54), TNM stage (III, HR = 1.64, 95% CI = 1.08–2.48; IV, HR = 2.33, 95% CI = 1.48–3.69), lung lobectomy (HR = 1.96, 95% CI = 1.45–2.66), chemotherapy (HR = 1.42, 95% CI = 1.15–1.74), and pretreatment hemoglobin level (HR = 1.61, 95% CI = 1.28–2.02) were independent prognosticators. A prognostic index for NSCLC (PInscl, 0–6 points) was calculated based on age (≥65 years, 1 point), tumor-node-metastasis (TNM) stage (III, 1 point; IV, 2 points), lung lobectomy (no, 1 point), chemotherapy (no, 1 point), and pretreatment hemoglobin level (low, 1 point). In comparison with the “PInscl = 0” subgroup (survival time = 2.71 ± 1.86 years), the “PInscl = 2” subgroup (survival time = 1.86 ± 1.24 years), “PInscl = 3” subgroup (survival time = 1.45 ± 1.07 years), “PInscl = 4” subgroup (survival time = 1.17 ± 1.06 years), “PInscl = 5” subgroup (survival time = 0.81 ± 0.78 years), and “PInscl = 6” subgroup (survival time = 0.65 ± 0.56 years) exhibited significantly shorter survival times. Kaplan-Meier survival analysis showed that patients with higher PInscl scores had poorer OS than those with lower scores (log-rank test: χ2 = 155.82, P < 0.0001). The area under the curve of PInscl for predicting the 1-year OS was 0.73 (95 % CI = 0.69–0.77, P < 0.001), and the PInscl had a better diagnostic performance than the Karnofsky performance status or TNM stage (P < 0.01). In conclusion, the PInscl, which is calculated from age, TNM stage, lung lobectomy, chemotherapy, and pretreatment hemoglobin level, significantly predicted OS in NSCLC patients.
topic prognostic model
non-small cell lung cancer
overall survival
hemoglobin
TNM
url https://www.frontiersin.org/article/10.3389/fonc.2020.00362/full
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