國家衛生研究院 NHRI:Item 3990099045/13044
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/13044


    Title: Discovery of survival predictor and early monitoring biomarkers for EGFR tyrosine kinase inhibitor therapy in lung adenocarcinoma by integrative omics analysis
    Authors: Hsiao, TF;Wang, CL;Wu, YC;Feng, HP;Chiu, YC;Lin, HY;Liu, KJ;Chang, GC;Chien, KY;Yu, JS;Yu, CJ
    Contributors: National Institute of Cancer Research
    Abstract: Epidermal growth factor receptor (EGFR) mutation is a predictor of the initial treatment efficacy of tyrosine kinase inhibitors (TKIs) in advanced lung adenocarcinoma (ADC). Unfortunately, neither EGFR mutations nor molecular markers can accurately monitor cancer progression or predict patient survival. EGFR‐TKI susceptibility‐associated biomarkers to benefit lung ADC patients are in high demand. Plural effusion (PE) has been recognized as a promising source for biomarker discovery. By integrating PE proteomic and tissue genomic analyses, we herein identified fifteen proteins as potential biomarkers of EGFR‐TKI resistance. Among these candidates, cadherin‐3 (CDH3) attracted our attention, as we observed that the CDH3 protein expression level was indeed positively correlated with malignancy as well as EGFR‐TKI resistance in our verified cancerous tissues, PEs and cell lines. Importantly, altered soluble CDH3 (sCDH3) levels in the serum could be used to monitor the efficacy of EGFR‐TKIs at one month after treatment. Furthermore, the baseline serum sCDH3 level was associated with progression‐free survival in ADC patients with mutant but not wild‐type EGFR. Finally, we observed that the baseline serum sCDH3 level was positively associated with tumor stage and overall survival in advanced non‐small cell lung cancer patients. Our results collectively establish a biomarker dataset for EGFR‐TKI resistance and sCDH3 is identified as a survival predictor and real‐time indicator of treatment efficacy in ADC patients received EGFR‐TKI therapy.
    Date: 2020-04
    Relation: FASEB Journal. 2020 Apr;34(S1):Abstract number 08868.
    Link to: http://dx.doi.org/10.1096/fasebj.2020.34.s1.08868
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0892-6638&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000546023102295
    Appears in Collections:[Ko-Jiunn Liu] Periodical Articles

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