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Published in: Journal of Orthopaedic Surgery and Research 1/2015

Open Access 01-12-2015 | Research article

Identification of genes associated with methotrexate resistance in methotrexate-resistant osteosarcoma cell lines

Authors: Xiao-rong Yang, Yan Xiong, Hong Duan, Ren-rong Gong

Published in: Journal of Orthopaedic Surgery and Research | Issue 1/2015

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Abstract

Background

This study aimed to better understand the mechanisms underlying methotrexate (MTX)—resistance in osteosarcoma.

Methods

The raw transcription microarray data GSE16089 collected from three MTX-sensitive osteosarcoma (Saos-2) cell samples and three MTX-resistant osteosarcoma (Saos-2) cell samples were downloaded from Gene Expression Omnibus. After data processing, the differentially expressed genes (DEGs) were identified. Next, DEGs were submitted to DAVID for functional annotation based on the GO (Gene Ontology) database, as well as pathway enrichment analysis based on the KEGG (Kyoto Encyclopedia of Genes and Genomes) database. Transcription factors (TFs) and tumor-associated genes (TAGs) were identified with reference to TRANSFAC and TAG, and TSGene databases, respectively. The protein-protein interaction (PPI) network of the gene-encoded products was constructed, and the subnetwork with the highest score was also detected using Search Tool for the Retrieval of Interacting Genes and BioNet package.

Results

A total of 690 up-regulated genes and down-regulated 626 genes were identified. Up-regulated DEGs (including AARS and PARS2) were associated to transfer RNA (tRNA) aminoacylation while down-regulated DEGs (including AURKA, CCNB1, CCNE2, CDK1, and CENPA) were correlated with mitotic cell cycle. Totally, 13 TFs (including HMGB2), 13 oncogenes (including CCNA2 and AURKA), and 19 tumor suppressor genes (TSGs) (including CDKN2C) were identified from the down-regulated DEGs. Ten DEGs, including nine down-regulated genes (such as AURKA, CDK1, CCNE2, and CENPA) and one up-regulated gene (GADD45A), were involved in the highest score subnetwork.

Conclusion

AARS, AURKA, AURKB, CENPA, CCNB1, CCNE2, and CDK may contribute to MTX resistance via aminoacyl-tRNA biosynthesis pathway, cell cycle pathway, or p53 signaling pathway.
Literature
1.
go back to reference Longo-Sorbello G. Current understanding of methotrexate pharmacology and efficacy in acute leukemias. Use of newer antifolates in clinical trials. Haematologica. 2001;86(2):121–7.PubMed Longo-Sorbello G. Current understanding of methotrexate pharmacology and efficacy in acute leukemias. Use of newer antifolates in clinical trials. Haematologica. 2001;86(2):121–7.PubMed
2.
go back to reference Kunz P, Fellenberg J, Moskovszky L, Sápi Z, Krenacs T, Machado I et al. Improved survival in osteosarcoma patients with atypical low vascularization. Annals Surg Oncol. 2015;22(2):489-96. Kunz P, Fellenberg J, Moskovszky L, Sápi Z, Krenacs T, Machado I et al. Improved survival in osteosarcoma patients with atypical low vascularization. Annals Surg Oncol. 2015;22(2):489-96.
3.
go back to reference Savage SA, Mirabello L, Wang Z, Gastier-Foster JM, Gorlick R, Khanna C, et al. Genome-wide association study identifies two susceptibility loci for osteosarcoma. Nat Genet. 2013;45(7):799–803.PubMedCentralCrossRefPubMed Savage SA, Mirabello L, Wang Z, Gastier-Foster JM, Gorlick R, Khanna C, et al. Genome-wide association study identifies two susceptibility loci for osteosarcoma. Nat Genet. 2013;45(7):799–803.PubMedCentralCrossRefPubMed
4.
go back to reference Rainusso N, Kurenbekova L, Donehower L, Rosen J, Yustein J. Abstract C80: characterization of metastatic cancer stem cells in osteosarcoma. Cancer Res. 2013;73(3 Supplement):C80–C.CrossRef Rainusso N, Kurenbekova L, Donehower L, Rosen J, Yustein J. Abstract C80: characterization of metastatic cancer stem cells in osteosarcoma. Cancer Res. 2013;73(3 Supplement):C80–C.CrossRef
5.
go back to reference Zheng S-e, Xiong S, Lin F, G-l Q, Feng T, Shen Z, et al. Pirarubicin inhibits multidrug-resistant osteosarcoma cell proliferation through induction of G2/M phase cell cycle arrest. Acta Pharmacol Sin. 2012;33(6):832–8.PubMedCentralCrossRefPubMed Zheng S-e, Xiong S, Lin F, G-l Q, Feng T, Shen Z, et al. Pirarubicin inhibits multidrug-resistant osteosarcoma cell proliferation through induction of G2/M phase cell cycle arrest. Acta Pharmacol Sin. 2012;33(6):832–8.PubMedCentralCrossRefPubMed
6.
go back to reference Guo W, Healey JH, Meyers PA, Ladanyi M, Huvos AG, Bertino JR, et al. Mechanisms of methotrexate resistance in osteosarcoma. Clin Cancer Res. 1999;5(3):621–7.PubMed Guo W, Healey JH, Meyers PA, Ladanyi M, Huvos AG, Bertino JR, et al. Mechanisms of methotrexate resistance in osteosarcoma. Clin Cancer Res. 1999;5(3):621–7.PubMed
7.
go back to reference Elledge RM, Gray R, Mansour E, Yu Y, Clark GM, Ravdin P, et al. Accumulation of p53 protein as a possible predictor of response to adjuvant combination chemotherapy with cyclophosphamide, methotrexate, fluorouracil, and prednisone for breast cancer. J Natl Cancer Inst. 1995;87(16):1254–6.CrossRefPubMed Elledge RM, Gray R, Mansour E, Yu Y, Clark GM, Ravdin P, et al. Accumulation of p53 protein as a possible predictor of response to adjuvant combination chemotherapy with cyclophosphamide, methotrexate, fluorouracil, and prednisone for breast cancer. J Natl Cancer Inst. 1995;87(16):1254–6.CrossRefPubMed
8.
go back to reference Yeager TR, Reznikoff CA. Methotrexate resistance in human uroepithelial cells with p53 alterations. J Urol. 1998;159(2):581–5.CrossRefPubMed Yeager TR, Reznikoff CA. Methotrexate resistance in human uroepithelial cells with p53 alterations. J Urol. 1998;159(2):581–5.CrossRefPubMed
9.
go back to reference Selga E, Oleaga C, Ramírez S, de Almagro MC, Noé V. Networking of differentially expressed genes in human cancer cells resistant to methotrexate. Genome Med. 2009;1(9):83.PubMedCentralCrossRefPubMed Selga E, Oleaga C, Ramírez S, de Almagro MC, Noé V. Networking of differentially expressed genes in human cancer cells resistant to methotrexate. Genome Med. 2009;1(9):83.PubMedCentralCrossRefPubMed
10.
go back to reference D’Eustachio P. Reactome knowledgebase of human biological pathways and processes. Bioinformatics for Comparative Proteomics. Springer; 2011;694:49–61. D’Eustachio P. Reactome knowledgebase of human biological pathways and processes. Bioinformatics for Comparative Proteomics. Springer; 2011;694:49–61.
11.
go back to reference Navab R, Strumpf D, Bandarchi B, Zhu C-Q, Pintilie M, Ramnarine VR, et al. Prognostic gene-expression signature of carcinoma-associated fibroblasts in non-small cell lung cancer. Proc Natl Acad Sci. 2011;108(17):7160–5.PubMedCentralCrossRefPubMed Navab R, Strumpf D, Bandarchi B, Zhu C-Q, Pintilie M, Ramnarine VR, et al. Prognostic gene-expression signature of carcinoma-associated fibroblasts in non-small cell lung cancer. Proc Natl Acad Sci. 2011;108(17):7160–5.PubMedCentralCrossRefPubMed
12.
go back to reference Selga E, Noé V, Ciudad CJ. Transcriptional regulation of aldo-keto reductase 1C1 in HT29 human colon cancer cells resistant to methotrexate: role in the cell cycle and apoptosis. Biochem Pharmacol. 2008;75(2):414–26.CrossRefPubMed Selga E, Noé V, Ciudad CJ. Transcriptional regulation of aldo-keto reductase 1C1 in HT29 human colon cancer cells resistant to methotrexate: role in the cell cycle and apoptosis. Biochem Pharmacol. 2008;75(2):414–26.CrossRefPubMed
13.
go back to reference Irizarry RA, Hobbs B, Collin F, Beazer‐Barclay YD, Antonellis KJ, Scherf U, et al. Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics. 2003;4(2):249–64.CrossRefPubMed Irizarry RA, Hobbs B, Collin F, Beazer‐Barclay YD, Antonellis KJ, Scherf U, et al. Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics. 2003;4(2):249–64.CrossRefPubMed
14.
go back to reference Alibes A, Yankilevich P, Canada A, Diaz-Uriarte R. IDconverter and IDClight: conversion and annotation of gene and protein IDs. BMC Bioinformatics. 2007;8:9.PubMedCentralCrossRefPubMed Alibes A, Yankilevich P, Canada A, Diaz-Uriarte R. IDconverter and IDClight: conversion and annotation of gene and protein IDs. BMC Bioinformatics. 2007;8:9.PubMedCentralCrossRefPubMed
15.
go back to reference Consortium GO. The gene ontology (GO) project in 2006. Nucleic Acids Res. 2006;34 suppl 1:D322–6.CrossRef Consortium GO. The gene ontology (GO) project in 2006. Nucleic Acids Res. 2006;34 suppl 1:D322–6.CrossRef
17.
go back to reference Heinemeyer T, Chen X, Karas H, Kel AE, Kel O, Liebich I, et al. Expanding the TRANSFAC database towards an expert system of regulatory molecular mechanisms. Nucleic Acids Res. 1999;27(1):318–22.PubMedCentralCrossRefPubMed Heinemeyer T, Chen X, Karas H, Kel AE, Kel O, Liebich I, et al. Expanding the TRANSFAC database towards an expert system of regulatory molecular mechanisms. Nucleic Acids Res. 1999;27(1):318–22.PubMedCentralCrossRefPubMed
19.
go back to reference Von Mering C, Jensen LJ, Kuhn M, Chaffron S, Doerks T, Krüger B, et al. STRING 7—recent developments in the integration and prediction of protein interactions. Nucleic Acids Res. 2007;35 suppl 1:D358–62.CrossRef Von Mering C, Jensen LJ, Kuhn M, Chaffron S, Doerks T, Krüger B, et al. STRING 7—recent developments in the integration and prediction of protein interactions. Nucleic Acids Res. 2007;35 suppl 1:D358–62.CrossRef
21.
go back to reference Beisser D, Klau GW, Dandekar T, Müller T, Dittrich MT. BioNet: an R-Package for the functional analysis of biological networks. Bioinformatics. 2010;26(8):1129–30.CrossRefPubMed Beisser D, Klau GW, Dandekar T, Müller T, Dittrich MT. BioNet: an R-Package for the functional analysis of biological networks. Bioinformatics. 2010;26(8):1129–30.CrossRefPubMed
22.
go back to reference Park SG, Ewalt KL, Kim S. Functional expansion of aminoacyl-tRNA synthetases and their interacting factors: new perspectives on housekeepers. Trends Biochem Sci. 2005;30(10):569–74.CrossRefPubMed Park SG, Ewalt KL, Kim S. Functional expansion of aminoacyl-tRNA synthetases and their interacting factors: new perspectives on housekeepers. Trends Biochem Sci. 2005;30(10):569–74.CrossRefPubMed
23.
go back to reference Kim D, Kwon NH, Kim S. Association of aminoacyl-tRNA synthetases with cancer. 2013.CrossRef Kim D, Kwon NH, Kim S. Association of aminoacyl-tRNA synthetases with cancer. 2013.CrossRef
24.
go back to reference Williams TF, Mirando AC, Wilkinson B, Francklyn CS, Lounsbury KM. Secreted threonyl-tRNA synthetase stimulates endothelial cell migration and angiogenesis. Scientific Reports. 2013;3. Williams TF, Mirando AC, Wilkinson B, Francklyn CS, Lounsbury KM. Secreted threonyl-tRNA synthetase stimulates endothelial cell migration and angiogenesis. Scientific Reports. 2013;3.
25.
go back to reference Cox DG, Hankinson SE, Hunter DJ. Polymorphisms of the AURKA (STK15/Aurora kinase) gene and breast cancer risk (United States). Cancer Causes Control. 2006;17(1):81–3.CrossRefPubMed Cox DG, Hankinson SE, Hunter DJ. Polymorphisms of the AURKA (STK15/Aurora kinase) gene and breast cancer risk (United States). Cancer Causes Control. 2006;17(1):81–3.CrossRefPubMed
26.
go back to reference Saskova A, Solc P, Baran V, Kubelka M, Schultz RM, Motlik J. Aurora kinase A controls meiosis I progression in mouse oocytes. Cell Cycle. 2008;7(15):2368–76.PubMedCentralCrossRefPubMed Saskova A, Solc P, Baran V, Kubelka M, Schultz RM, Motlik J. Aurora kinase A controls meiosis I progression in mouse oocytes. Cell Cycle. 2008;7(15):2368–76.PubMedCentralCrossRefPubMed
27.
go back to reference Kunitoku N, Sasayama T, Marumoto T, Zhang D, Honda S, Kobayashi O, et al. CENP-A phosphorylation by Aurora-A in prophase is required for enrichment of Aurora-B at inner centromeres and for kinetochore function. Dev Cell. 2003;5(6):853–64.CrossRefPubMed Kunitoku N, Sasayama T, Marumoto T, Zhang D, Honda S, Kobayashi O, et al. CENP-A phosphorylation by Aurora-A in prophase is required for enrichment of Aurora-B at inner centromeres and for kinetochore function. Dev Cell. 2003;5(6):853–64.CrossRefPubMed
28.
29.
go back to reference Jiang Z, Jiang J, Yang H, Ge Z, Wang Q, Zhang L, et al. Silencing of Aurora kinase A by RNA interference inhibits tumor growth in human osteosarcoma cells by inducing apoptosis and G2/M cell cycle arrest. Oncol Rep. 2014;31(3):1249–54.PubMed Jiang Z, Jiang J, Yang H, Ge Z, Wang Q, Zhang L, et al. Silencing of Aurora kinase A by RNA interference inhibits tumor growth in human osteosarcoma cells by inducing apoptosis and G2/M cell cycle arrest. Oncol Rep. 2014;31(3):1249–54.PubMed
30.
go back to reference Gu X-M, Fu J, Feng X-J, Huang X, Wang S-M, Chen X-F, et al. Expression and prognostic relevance of centromere protein A in primary osteosarcoma. Pathol Res Pract. 2014;210(4):228–33.CrossRefPubMed Gu X-M, Fu J, Feng X-J, Huang X, Wang S-M, Chen X-F, et al. Expression and prognostic relevance of centromere protein A in primary osteosarcoma. Pathol Res Pract. 2014;210(4):228–33.CrossRefPubMed
32.
go back to reference Evan GI, Vousden KH. Proliferation, cell cycle and apoptosis in cancer. Nature. 2001;411(6835):342–8.CrossRefPubMed Evan GI, Vousden KH. Proliferation, cell cycle and apoptosis in cancer. Nature. 2001;411(6835):342–8.CrossRefPubMed
33.
go back to reference Malumbres M, Barbacid M. Cell cycle, CDKs and cancer: a changing paradigm. Nat Rev Cancer. 2009;9(3):153–66.CrossRefPubMed Malumbres M, Barbacid M. Cell cycle, CDKs and cancer: a changing paradigm. Nat Rev Cancer. 2009;9(3):153–66.CrossRefPubMed
34.
go back to reference Han X-R, Sun Y, Bai X-Z. The anti-tumor role and mechanism of integrated and truncated PDCD5 proteins in osteosarcoma cells. Cell Signal. 2012;24(8):1713–21.CrossRefPubMed Han X-R, Sun Y, Bai X-Z. The anti-tumor role and mechanism of integrated and truncated PDCD5 proteins in osteosarcoma cells. Cell Signal. 2012;24(8):1713–21.CrossRefPubMed
35.
go back to reference Fu W, Ma L, Chu B, Wang X, Bui MM, Gemmer J, et al. The cyclin-dependent kinase inhibitor SCH 727965 (dinacliclib) induces the apoptosis of osteosarcoma cells. Mol Cancer Ther. 2011;10(6):1018–27.CrossRefPubMed Fu W, Ma L, Chu B, Wang X, Bui MM, Gemmer J, et al. The cyclin-dependent kinase inhibitor SCH 727965 (dinacliclib) induces the apoptosis of osteosarcoma cells. Mol Cancer Ther. 2011;10(6):1018–27.CrossRefPubMed
36.
go back to reference Uchiyama H, Sowa Y, Wakada M, Yogosawa M, Nakanishi R, Horinaka M, et al. Cyclin-dependent kinase inhibitor SU9516 enhances sensitivity to methotrexate in human T-cell leukemia Jurkat cells. Cancer Sci. 2010;101(3):728–34.CrossRefPubMed Uchiyama H, Sowa Y, Wakada M, Yogosawa M, Nakanishi R, Horinaka M, et al. Cyclin-dependent kinase inhibitor SU9516 enhances sensitivity to methotrexate in human T-cell leukemia Jurkat cells. Cancer Sci. 2010;101(3):728–34.CrossRefPubMed
37.
go back to reference Lee DH, Thoennissen NH, Goff C, Iwanski GB, Forscher C, Doan NB, et al. Synergistic effect of low-dose cucurbitacin B and low-dose methotrexate for treatment of human osteosarcoma. Cancer Lett. 2011;306(2):161–70.CrossRefPubMed Lee DH, Thoennissen NH, Goff C, Iwanski GB, Forscher C, Doan NB, et al. Synergistic effect of low-dose cucurbitacin B and low-dose methotrexate for treatment of human osteosarcoma. Cancer Lett. 2011;306(2):161–70.CrossRefPubMed
Metadata
Title
Identification of genes associated with methotrexate resistance in methotrexate-resistant osteosarcoma cell lines
Authors
Xiao-rong Yang
Yan Xiong
Hong Duan
Ren-rong Gong
Publication date
01-12-2015
Publisher
BioMed Central
Published in
Journal of Orthopaedic Surgery and Research / Issue 1/2015
Electronic ISSN: 1749-799X
DOI
https://doi.org/10.1186/s13018-015-0275-8

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