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Association of RASSF1A and p63 with Poor Recurrence-Free Survival in Node-Negative Stage I―II Non-Small Cell Lung Cancer

This study was aimed at analyzing the recurrence-related prognostic significance of 12 candidate molecular biomarkers in node-negative stage I-II non-small cell lung cancer (NSCLC). We retrospectively analyzed promoter methylation of eight genes using methylation-specific PCR in formalin-fixed and p...

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Published in:Clinical cancer research 2013-03, Vol.19 (5), p.1204-1212
Main Authors: KO, Eunkyung, BO BIN LEE, KIM, Yujin, EUN JU LEE, EUN YOON CHO, JUNGHO HAN, YOUNG MOG SHIM, PARK, Joobae, KIM, Duk-Hwan
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cites cdi_FETCH-LOGICAL-c386t-f854b3a78ec6bd71e20da8b024bd1b099759dfbfc9ed6b8b0eec07d5734e07943
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creator KO, Eunkyung
BO BIN LEE
KIM, Yujin
EUN JU LEE
EUN YOON CHO
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YOUNG MOG SHIM
PARK, Joobae
KIM, Duk-Hwan
description This study was aimed at analyzing the recurrence-related prognostic significance of 12 candidate molecular biomarkers in node-negative stage I-II non-small cell lung cancer (NSCLC). We retrospectively analyzed promoter methylation of eight genes using methylation-specific PCR in formalin-fixed and paraffin-embedded tissues from 328 node-negative stage I-II NSCLCs. The expression of Bcl-2, E-cadherin, p53, and p63 proteins was also assessed by immunohistochemistry. Recurrence was found in 145 (44%) of 328 node-negative stage I-II NSCLCs with a median follow-up period of 6.2 years. No association was found between recurrence and alteration of individual biomarker in univariate analysis. We defined recurrently divergent groups on the basis of recursive partitioning analyses for 12 biomarkers and found a significant association of co-alteration of RASSF1A and p63 with poor recurrence-free survival (RFS). Cox proportional hazards analysis showed that hypermethylation of RASSF1A and negative expression of p63 was associated with poor RFS [HR, 1.93; 95% confidence interval (CI), 1.13-5.47; P = 0.009] compared with those without co-alteration of RASSF1A and p63, after adjusting for age, adjuvant therapy, histology, and tumor size. Random forest classifier including RASSF1A and p63 showed best performance in the prediction of recurrence in node-negative stage I-II NSCLCs: area under receiver operator characteristic curve for random forest was 0.91 and error rate for the model was 17%. The present study suggests that RASSF1A and p63 may be independent prognostic indicators for RFS in node-negative stage I-II NSCLCs.
doi_str_mv 10.1158/1078-0432.CCR-12-2848
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Cox proportional hazards analysis showed that hypermethylation of RASSF1A and negative expression of p63 was associated with poor RFS [HR, 1.93; 95% confidence interval (CI), 1.13-5.47; P = 0.009] compared with those without co-alteration of RASSF1A and p63, after adjusting for age, adjuvant therapy, histology, and tumor size. Random forest classifier including RASSF1A and p63 showed best performance in the prediction of recurrence in node-negative stage I-II NSCLCs: area under receiver operator characteristic curve for random forest was 0.91 and error rate for the model was 17%. 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Cox proportional hazards analysis showed that hypermethylation of RASSF1A and negative expression of p63 was associated with poor RFS [HR, 1.93; 95% confidence interval (CI), 1.13-5.47; P = 0.009] compared with those without co-alteration of RASSF1A and p63, after adjusting for age, adjuvant therapy, histology, and tumor size. Random forest classifier including RASSF1A and p63 showed best performance in the prediction of recurrence in node-negative stage I-II NSCLCs: area under receiver operator characteristic curve for random forest was 0.91 and error rate for the model was 17%. 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Cox proportional hazards analysis showed that hypermethylation of RASSF1A and negative expression of p63 was associated with poor RFS [HR, 1.93; 95% confidence interval (CI), 1.13-5.47; P = 0.009] compared with those without co-alteration of RASSF1A and p63, after adjusting for age, adjuvant therapy, histology, and tumor size. Random forest classifier including RASSF1A and p63 showed best performance in the prediction of recurrence in node-negative stage I-II NSCLCs: area under receiver operator characteristic curve for random forest was 0.91 and error rate for the model was 17%. The present study suggests that RASSF1A and p63 may be independent prognostic indicators for RFS in node-negative stage I-II NSCLCs.</abstract><cop>Philadelphia, PA</cop><pub>American Association for Cancer Research</pub><pmid>23319821</pmid><doi>10.1158/1078-0432.CCR-12-2848</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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source Science Journals (Open access)
subjects Adenocarcinoma - genetics
Adenocarcinoma - mortality
Adenocarcinoma - pathology
Adult
Aged
Aged, 80 and over
Antineoplastic agents
Biological and medical sciences
Biomarkers, Tumor - genetics
Carcinoma, Non-Small-Cell Lung - genetics
Carcinoma, Non-Small-Cell Lung - mortality
Carcinoma, Non-Small-Cell Lung - pathology
Carcinoma, Squamous Cell - genetics
Carcinoma, Squamous Cell - mortality
Carcinoma, Squamous Cell - pathology
DNA Methylation
Female
Follow-Up Studies
Humans
Lung Neoplasms - genetics
Lung Neoplasms - mortality
Lung Neoplasms - pathology
Lymph Nodes - pathology
Male
Medical sciences
Middle Aged
Neoplasm Recurrence, Local - genetics
Neoplasm Recurrence, Local - mortality
Neoplasm Recurrence, Local - pathology
Neoplasm Staging
Pharmacology. Drug treatments
Pneumology
Prognosis
Promoter Regions, Genetic - genetics
Retrospective Studies
Survival Rate
Transcription Factors - genetics
Tumor Suppressor Proteins - genetics
Tumors of the respiratory system and mediastinum
Young Adult
title Association of RASSF1A and p63 with Poor Recurrence-Free Survival in Node-Negative Stage I―II Non-Small Cell Lung Cancer
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