Literature DB >> 25449779

A pathway-based approach for identifying biomarkers of tumor progression to trastuzumab-resistant breast cancer.

Seungyoon Nam1, Hae Ryung Chang1, Hae Rim Jung1, Youme Gim1, Nam Youl Kim2, Regis Grailhe2, Haeng Ran Seo3, Hee Seo Park4, Curt Balch5, Jinhyuk Lee6, Inhae Park7, So Youn Jung7, Kyung-Chae Jeong8, Garth Powis9, Han Liang10, Eun Sook Lee1, Jungsil Ro7, Yon Hui Kim11.   

Abstract

Although trastuzumab is a successful targeted therapy for breast cancer patients with tumors expressing HER2 (ERBB2), many patients eventually progress to drug resistance. Here, we identified subpathways differentially expressed between trastuzumab-resistant vs. -sensitive breast cancer cells, in conjunction with additional transcriptomic preclinical and clinical gene datasets, to rigorously identify overexpressed, resistance-associated genes. From this approach, we identified 32 genes reproducibly upregulated in trastuzumab resistance. 25 genes were upregulated in drug-resistant JIMT-1 cells, which also downregulated HER2 protein by >80% in the presence of trastuzumab. 24 genes were downregulated in trastuzumab-sensitive SKBR3 cells. Trastuzumab sensitivity was restored by siRNA knockdown of these genes in the resistant cells, and overexpression of 5 of the 25 genes was found in at least one of five refractory HER2 + breast cancer. In summary, our rigorous computational approach, followed by experimental validation, significantly implicate ATF4, CHEK2, ENAH, ICOSLG, and RAD51 as potential biomarkers of trastuzumab resistance. These results provide further proof-of-concept of our methodology for successfully identifying potential biomarkers and druggable signal pathways involved in tumor progression to drug resistance.
Copyright © 2014 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Entities:  

Keywords:  Biomarker discovery; Breast cancer; Drug resistance; HER2; Trastuzumab

Mesh:

Substances:

Year:  2014        PMID: 25449779     DOI: 10.1016/j.canlet.2014.10.038

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  11 in total

1.  Phosphoproteins in extracellular vesicles as candidate markers for breast cancer.

Authors:  I-Hsuan Chen; Liang Xue; Chuan-Chih Hsu; Juan Sebastian Paez Paez; Li Pan; Hillary Andaluz; Michael K Wendt; Anton B Iliuk; Jian-Kang Zhu; W Andy Tao
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-07       Impact factor: 11.205

2.  Network-based expression analysis reveals key genes related to glucocorticoid resistance in infant acute lymphoblastic leukemia.

Authors:  Zaynab Mousavian; Abbas Nowzari-Dalini; Ronald W Stam; Yasir Rahmatallah; Ali Masoudi-Nejad
Journal:  Cell Oncol (Dordr)       Date:  2016-10-31       Impact factor: 6.730

Review 3.  Cell intrinsic and extrinsic activators of the unfolded protein response in cancer: Mechanisms and targets for therapy.

Authors:  Feven Tameire; Ioannis I Verginadis; Constantinos Koumenis
Journal:  Semin Cancer Biol       Date:  2015-04-25       Impact factor: 15.707

Review 4.  Emerging tale of UPR and cancer: an essentiality for malignancy.

Authors:  Younis Mohammad Hazari; Arif Bashir; Ehtisham Ul Haq; Khalid Majid Fazili
Journal:  Tumour Biol       Date:  2016-09-14

5.  Systematic approach identifies RHOA as a potential biomarker therapeutic target for Asian gastric cancer.

Authors:  Hae Ryung Chang; Seungyoon Nam; Jinhyuk Lee; Jin-Hee Kim; Hae Rim Jung; Hee Seo Park; Sungjin Park; Young Zoo Ahn; Iksoo Huh; Curt Balch; Ja-Lok Ku; Garth Powis; Taesung Park; Jin-Hyun Jeong; Yon Hui Kim
Journal:  Oncotarget       Date:  2016-12-06

6.  Utilization of NGS technologies to investigate transcriptomic and epigenomic mechanisms in trastuzumab resistance.

Authors:  Miguel Nava; Pranabananda Dutta; Robin Farias-Eisner; Jaydutt V Vadgama; Yanyuan Wu
Journal:  Sci Rep       Date:  2019-03-26       Impact factor: 4.379

7.  Discovery of CASP8 as a potential biomarker for high-risk prostate cancer through a high-multiplex immunoassay.

Authors:  Shiqin Liu; Fernando Garcia-Marques; Chiyuan Amy Zhang; Jordan John Lee; Rosalie Nolley; Michelle Shen; En-Chi Hsu; Merve Aslan; Kashyap Koul; Sharon J Pitteri; James D Brooks; Tanya Stoyanova
Journal:  Sci Rep       Date:  2021-04-07       Impact factor: 4.379

Review 8.  Databases and tools for constructing signal transduction networks in cancer.

Authors:  Seungyoon Nam
Journal:  BMB Rep       Date:  2017-01       Impact factor: 4.778

9.  CANcer-specific Evaluation System (CANES): a high-accuracy platform, for preclinical single/multi-biomarker discovery.

Authors:  Min-Seok Kwon; Seungyoon Nam; Sungyoung Lee; Young Zoo Ahn; Hae Ryung Chang; Yon Hui Kim; Taesung Park
Journal:  Oncotarget       Date:  2017-07-15

Review 10.  ER Stress and the UPR in Shaping Intestinal Tissue Homeostasis and Immunity.

Authors:  Olivia I Coleman; Dirk Haller
Journal:  Front Immunol       Date:  2019-12-04       Impact factor: 7.561

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