Survival Model Established by Combined Serum Tumor Markers in Predicating the Effect of Erlotinib on Patients with Recurrent Non-small Cell Lung Cancer

Objective: To investigate the relationship of serum pulmonary surfactant-associated pretein (SP-D), transforming growth factor-α (TGF-α), matrix metalloproteinases-9 (MMP-9), tissue polypeptide specific antigen (TPS) and lung adenocarcinoma-related antigen (KL-6) with the effect and survival of trea...

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Main Authors: Lan Shao, Wei Hong, Yiping Zhang
Format: Article
Language:English
Published: Third Party Medicine International Publishing Group Co. Limited 2013-12-01
Series:Journal of International Translational Medicine
Subjects:
Online Access:http://www.jitm.hk/EN/abstract/abstract89.shtml
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spelling doaj-bf14d5d1551f44018576b67a5d757d442020-11-25T00:39:08ZengThird Party Medicine International Publishing Group Co. Limited Journal of International Translational Medicine 2227-63942013-12-0114185193JITM2013010405Survival Model Established by Combined Serum Tumor Markers in Predicating the Effect of Erlotinib on Patients with Recurrent Non-small Cell Lung CancerLan Shao0Wei Hong1Yiping Zhang2Department of Medical Oncology, Zhejiang Cancer Hospital, Laboratory Diagnosis and Technology on Thoracic Oncology, Hangzhou, Zhejiang, 310022, ChinaDepartment of Medical Oncology, Zhejiang Cancer Hospital, Laboratory Diagnosis and Technology on Thoracic Oncology, Hangzhou, Zhejiang, 310022, ChinaDepartment of Medical Oncology, Zhejiang Cancer Hospital, Laboratory Diagnosis and Technology on Thoracic Oncology, Hangzhou, Zhejiang, 310022, ChinaObjective: To investigate the relationship of serum pulmonary surfactant-associated pretein (SP-D), transforming growth factor-α (TGF-α), matrix metalloproteinases-9 (MMP-9), tissue polypeptide specific antigen (TPS) and lung adenocarcinoma-related antigen (KL-6) with the effect and survival of treating advanced recurrent non-small cell lung cancer (NSCLC), and to establish a survival predication model. Methods: ELISA was applied to detect peripheral serum SP-D, TGF-α, MMP-9, TPS and KL-6 levels in 114 patients with recurrent NSCLC, and to analyze their relationship with the effect of erlotinib by combining with clinical symptoms, while one-way and multi-way analysis of variances were analyzed with Kaplan-Meier survival curve and Cox multi-way survival analysis model in order to establish the survival predication model. Results: The total effective rate and stability rate of erlotinib in 114 patients were 22.8% and 72.8% with progression-free survival (PFS) and 1-year survival rate being 5.13 months and 69.3%, respectively, and they were higher in SP-D > 110 ng/mL group than in ≤ 110 ng/mL group (P= 0.011, P = 0.017). The stability rate in MMP-9 ≤ 535 ng/mL and TPS < 80 U/L groups were higher than in MMP-9 > 535 ng/mL (P = 0.009) and TPS ≥80 U/L groups (P = 0.002) respectively, while mPFS in SP-D > 110 ng/mL, MMP-9 ≤ 535 ng/mL, KL-6 < 500 U/mL and TPS < 80 U/L groups were longer than in SP-D ≤ 110 ng/mL (5.95 months vs. 3.25 months, P =0.009), MMP-9 > 535 ng/mL (5.83 months vs. 3.47 months, P = 0.046), KL-6 ≥500 U/mL (6.03 months vs. 3.40 months, P = 0.040) and TPS ≥80 U/L groups (6.15 months vs. 2.42 months, P= 0.014), respectively. Cox multi-way analysis showed that smoking history, wild EGFR genes, effective progression of terminal chemotherapy, free-of-rash during erlotinib treatment, increased LDH and TPS ≥80 U/L were independent risk factors for PFS. Additionally, patients were divided into 4 groups according to the predicative indexes in prognostic predication model: low risk group,medium-low risk group, medium risk group and high risk group, with PFS being 9.12, 6.88, 3.52 and 0.93 months, respectively, and there were significant differences (P = 0.000). Conclusion: The establishment of prognostic survival model by detecting TPS level in serum tumor markers combined with clinical symptoms is of great significance in guiding and predicating erlotinib treatment on patients with recurrent NSCLC in clinic.http://www.jitm.hk/EN/abstract/abstract89.shtmlNon-small cell lung cancerErlotinibSerum tumor markerPrognostic factorPredicative model
collection DOAJ
language English
format Article
sources DOAJ
author Lan Shao
Wei Hong
Yiping Zhang
spellingShingle Lan Shao
Wei Hong
Yiping Zhang
Survival Model Established by Combined Serum Tumor Markers in Predicating the Effect of Erlotinib on Patients with Recurrent Non-small Cell Lung Cancer
Journal of International Translational Medicine
Non-small cell lung cancer
Erlotinib
Serum tumor marker
Prognostic factor
Predicative model
author_facet Lan Shao
Wei Hong
Yiping Zhang
author_sort Lan Shao
title Survival Model Established by Combined Serum Tumor Markers in Predicating the Effect of Erlotinib on Patients with Recurrent Non-small Cell Lung Cancer
title_short Survival Model Established by Combined Serum Tumor Markers in Predicating the Effect of Erlotinib on Patients with Recurrent Non-small Cell Lung Cancer
title_full Survival Model Established by Combined Serum Tumor Markers in Predicating the Effect of Erlotinib on Patients with Recurrent Non-small Cell Lung Cancer
title_fullStr Survival Model Established by Combined Serum Tumor Markers in Predicating the Effect of Erlotinib on Patients with Recurrent Non-small Cell Lung Cancer
title_full_unstemmed Survival Model Established by Combined Serum Tumor Markers in Predicating the Effect of Erlotinib on Patients with Recurrent Non-small Cell Lung Cancer
title_sort survival model established by combined serum tumor markers in predicating the effect of erlotinib on patients with recurrent non-small cell lung cancer
publisher Third Party Medicine International Publishing Group Co. Limited
series Journal of International Translational Medicine
issn 2227-6394
publishDate 2013-12-01
description Objective: To investigate the relationship of serum pulmonary surfactant-associated pretein (SP-D), transforming growth factor-α (TGF-α), matrix metalloproteinases-9 (MMP-9), tissue polypeptide specific antigen (TPS) and lung adenocarcinoma-related antigen (KL-6) with the effect and survival of treating advanced recurrent non-small cell lung cancer (NSCLC), and to establish a survival predication model. Methods: ELISA was applied to detect peripheral serum SP-D, TGF-α, MMP-9, TPS and KL-6 levels in 114 patients with recurrent NSCLC, and to analyze their relationship with the effect of erlotinib by combining with clinical symptoms, while one-way and multi-way analysis of variances were analyzed with Kaplan-Meier survival curve and Cox multi-way survival analysis model in order to establish the survival predication model. Results: The total effective rate and stability rate of erlotinib in 114 patients were 22.8% and 72.8% with progression-free survival (PFS) and 1-year survival rate being 5.13 months and 69.3%, respectively, and they were higher in SP-D > 110 ng/mL group than in ≤ 110 ng/mL group (P= 0.011, P = 0.017). The stability rate in MMP-9 ≤ 535 ng/mL and TPS < 80 U/L groups were higher than in MMP-9 > 535 ng/mL (P = 0.009) and TPS ≥80 U/L groups (P = 0.002) respectively, while mPFS in SP-D > 110 ng/mL, MMP-9 ≤ 535 ng/mL, KL-6 < 500 U/mL and TPS < 80 U/L groups were longer than in SP-D ≤ 110 ng/mL (5.95 months vs. 3.25 months, P =0.009), MMP-9 > 535 ng/mL (5.83 months vs. 3.47 months, P = 0.046), KL-6 ≥500 U/mL (6.03 months vs. 3.40 months, P = 0.040) and TPS ≥80 U/L groups (6.15 months vs. 2.42 months, P= 0.014), respectively. Cox multi-way analysis showed that smoking history, wild EGFR genes, effective progression of terminal chemotherapy, free-of-rash during erlotinib treatment, increased LDH and TPS ≥80 U/L were independent risk factors for PFS. Additionally, patients were divided into 4 groups according to the predicative indexes in prognostic predication model: low risk group,medium-low risk group, medium risk group and high risk group, with PFS being 9.12, 6.88, 3.52 and 0.93 months, respectively, and there were significant differences (P = 0.000). Conclusion: The establishment of prognostic survival model by detecting TPS level in serum tumor markers combined with clinical symptoms is of great significance in guiding and predicating erlotinib treatment on patients with recurrent NSCLC in clinic.
topic Non-small cell lung cancer
Erlotinib
Serum tumor marker
Prognostic factor
Predicative model
url http://www.jitm.hk/EN/abstract/abstract89.shtml
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