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Protein & Cell

ISSN 1674-800X

ISSN 1674-8018(Online)

CN 11-5886/Q

Postal Subscription Code 80-984

2018 Impact Factor: 7.575

Protein Cell    2019, Vol. 10 Issue (3) : 161-177    https://doi.org/10.1007/s13238-018-0533-8
RESEARCH ARTICLE
Chemical genomics reveals inhibition of breast cancer lung metastasis by Ponatinib via c-Jun
Wei Shao1, Shasha Li1, Lu Li1, Kequan Lin1, Xinhong Liu1, Haiyan Wang1, Huili Wang1, Dong Wang1,2,3()
1. Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing 100084, China
2. Collaborative Innovation Center for Biotherapy, West China Hospital, Sichuan University, Sichuan 610041, China
3. Center for Synthetic and Systems Biology, Tsinghua University, Beijing 100084, China
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Abstract

Metastasis is the leading cause of human cancer deaths. Unfortunately, no approved drugs are available for antimetastatic treatment. In our study, high-throughput sequencing-based high-throughput screening (HTS2) and a breast cancer lung metastasis (BCLM)-associated gene signature were combined to discover anti-metastatic drugs. After screening of thousands of compounds, we identified Ponatinib as a BCLM inhibitor. Ponatinib significantly inhibited the migration and mammosphere formation of breast cancer cells in vitro and blocked BCLM in multiple mouse models. Mechanistically, Ponatinib represses the expression of BCLM-associated genes mainly through the ERK/c-Jun signaling pathway by inhibiting the transcription of JUN and accelerating the degradation of c-Jun protein. Notably, JUN expression levels were positively correlated with BCLM-associated gene expression and lung metastases in breast cancer patients. Collectively, we established a novel approach for the discovery of anti-metastatic drugs, identified Ponatinib as a new drug to inhibit BCLM and revealed c-Jun as a crucial factor and potential drug target for BCLM. Our study may facilitate the therapeutic treatment of BCLM as well as other metastases.

Keywords anti-metastatic drug discovery      gene expression signature      high-throughput sequencing-based high-throughput screening      Ponatinib      breast cancer lung metastasis      c-Jun     
Corresponding Author(s): Dong Wang   
Issue Date: 21 February 2019
 Cite this article:   
Wei Shao,Shasha Li,Lu Li, et al. Chemical genomics reveals inhibition of breast cancer lung metastasis by Ponatinib via c-Jun[J]. Protein Cell, 2019, 10(3): 161-177.
 URL:  
https://academic.hep.com.cn/pac/EN/10.1007/s13238-018-0533-8
https://academic.hep.com.cn/pac/EN/Y2019/V10/I3/161
1 PAngel, MImagawa, RChiu, BStein, RJImbra, HJRahmsdorf, CJonat, PHerrlich, MKarin (1987) Phorbol ester-inducible genes contain a common cis element recognized by a TPA-modulated trans-acting factor. Cell 49:729–739
https://doi.org/10.1016/0092-8674(87)90611-8
2 MAyers, WFSymmans, JStec, AIDamokosh, EClark, KHess, MLecocke, JMetivier, DBooser, NIbrahimet al. (2004) Gene expression profiles predict complete pathologic response to neoadjuvant paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide chemotherapy in breast cancer. J Clin Oncol 22:2284–2293
https://doi.org/10.1200/JCO.2004.05.166
3 HBirkedal-Hansen, WGMoore, MKBodden, LJWindsor, BBirkedal-Hansen, ADeCarlo, JAEngler (1993) Matrix metalloproteinases: a review. Crit Rev Oral Biol Med 4:197–250
https://doi.org/10.1177/10454411930040020401
4 PDBos, XHZhang, CNadal, WShu, RRGomis, DXNguyen, AJMinn, MJvan de Vijver, WLGerald, JAFoekenset al. (2009) Genes that mediate breast cancer metastasis to the brain. Nature 459:1005–1009
https://doi.org/10.1038/nature08021
5 TCasey, JBond, STighe, THunter, LLintault, OPatel, JEneman, ACrocker, JWhite, JTessitoreet al. (2009) Molecular signatures suggest a major role for stromal cells in development of invasive breast cancer. Breast Cancer Res Treat 114:47–62
https://doi.org/10.1007/s10549-008-9982-8
6 JChambers, AAngulo, DAmaratunga, HGuo, YJiang, JSWan, ABittner, KFrueh, MRJackson, PAPetersonet al. (1999) DNA microarrays of the complex human cytomegalovirus genome: profiling kinetic class with drug sensitivity of viral gene expression. J Virol 73:5757–5766
7 HChen, GZhu, YLi, RNPadia, ZDong, ZKPan, KLiu, SHuang (2009) Extracellular signal-regulated kinase signaling pathway regulates breast cancer cell migration by maintaining slug expression. Cancer Res 69:9228–9235
https://doi.org/10.1158/0008-5472.CAN-09-1950
8 CClarke, SFMadden, PDoolan, STAherne, HJoyce, LO’Driscoll, WMGallagher, BTHennessy, MMoriarty, JCrownet al. (2013) Correlating transcriptional networks to breast cancer survival: a large-scale coexpression analysis. Carcinogenesis 34:2300–2308
https://doi.org/10.1093/carcin/bgt208
9 GPGupta, DXNguyen, ACChiang, PDBos, JYKim, CNadal, RRGomis, KManova-Todorova, JMassague (2007) Mediators of vascular remodelling co-opted for sequential steps in lung metastasis. Nature 446:765–770
https://doi.org/10.1038/nature05760
10 JCHarrell, APrat, JSParker, CFan, XHe, LCarey, CAnders, MEwend, CMPerou (2012) Genomic analysis identifies unique signatures predictive of brain, lung, and liver relapse. Breast Cancer Res Treat 132:523–535
https://doi.org/10.1007/s10549-011-1619-7
11 CEHorak, LPusztai, GXing, OCTrifan, CSaura, LMTseng, SChan, RWelcher, DLiu (2013) Biomarker analysis of neoadjuvant doxorubicin/cyclophosphamide followed by ixabepilone or Paclitaxel in early-stage breast cancer. Clin Cancer Res 19:1587–1595
https://doi.org/10.1158/1078-0432.CCR-12-1359
12 LRHowe, SHChang, KCTolle, RDillon, LJYoung, RDCardiff, RANewman, PYang, HTThaler, WJMulleret al. (2005) HER2/neu-induced mammary tumorigenesis and angiogenesis are reduced in cyclooxygenase-2 knockout mice. Cancer Res 65:10113–10119
https://doi.org/10.1158/0008-5472.CAN-05-1524
13 FIorio, RBosotti, EScacheri, VBelcastro, PMithbaokar, RFerriero, LMurino, RTagliaferri, NBrunetti-Pierri, AIsacchiet al. (2010) Discovery of drug mode of action and drug repositioning from transcriptional responses. Proc Natl Acad Sci USA 107:14621–14626
https://doi.org/10.1073/pnas.1000138107
14 YKang, PMSiegel, WShu, MDrobnjak, SMKakonen, CCordon-Cardo, TAGuise, JMassague (2003) A multigenic program mediating breast cancer metastasis to bone. Cancer Cell 3:537–549
https://doi.org/10.1016/S1535-6108(03)00132-6
15 JLamb, EDCrawford, DPeck, JWModell, ICBlat, MJWrobel, JLerner, JPBrunet, ASubramanian, KNRosset al. (2006) The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease. Science 313:1929–1935
https://doi.org/10.1126/science.1132939
16 TLandemaine, AJackson, ABellahcene, NRucci, SSin, BMAbad, ASierra, ABoudinet, JMGuinebretiere, ERicevutoet al. (2008) A six-gene signature predicting breast cancer lung metastasis. Cancer Res 68:6092–6099
https://doi.org/10.1158/0008-5472.CAN-08-0436
17 SLe Jan, CAmy, ACazes, CMonnot, NLamande, JFavier, JPhilippe, MSibony, JMGasc, PCorvolet al. (2003) Angiopoietin-like 4 is a proangiogenic factor produced during ischemia and in conventional renal cell carcinoma. Am J Pathol 162:1521–1528
https://doi.org/10.1016/S0002-9440(10)64285-X
18 YTLee (1983) Breast carcinoma: pattern of metastasis at autopsy. J Surg Oncol 23:175–180
https://doi.org/10.1002/jso.2930230311
19 JLee, JLiu, XFeng, MASalazar Hernandez, PMucka, DIbi, JWChoi, UOzcan (2016) Withaferin A is a leptin sensitizer with strong antidiabetic properties in mice. Nat Med 22:1023–1032
https://doi.org/10.1038/nm.4145
20 HLi, JQiu, XDFu (2012a) RASL-seq for massively parallel and quantitative analysis of gene expression. Curr Protoc Mol Biol.
https://doi.org/10.1002/0471142727.mb0413s98
21 HLi, HZhou, DWang, JQiu, YZhou, XLi, MGRosenfeld, SDing, XDFu (2012b) Versatile pathway-centric approach based on high-throughput sequencing to anticancer drug discovery. Proc Natl Acad Sci USA 109:4609–4614
https://doi.org/10.1073/pnas.1200305109
22 QLi, YWang, HXiao, YLi, XKan, XWang, GZhang, ZWang, QYang, XChenet al. (2016) Chamaejasmenin B, a novel candidate, inhibits breast tumor metastasis by rebalancing TGF-beta paradox. Oncotarget 7:48180–48192
https://doi.org/10.18632/oncotarget.10193
23 PLopez-Bergami, ELau, ZRonai (2010) Emerging roles of ATF2 and the dynamic AP1 network in cancer. Nat Rev Cancer 10:65–76
https://doi.org/10.1038/nrc2681
24 XLu, XLu, YKang (2010) Organ-specific enhancement of metastasis by spontaneous ploidy duplication and cell size enlargement. Cell Res 20:1012–1022
https://doi.org/10.1038/cr.2010.93
25 AJMinn, GPGupta, PMSiegel, PDBos, WShu, DDGiri, AViale, ABOlshen, WLGerald, JMassague (2005) Genes that mediate breast cancer metastasis to lung. Nature 436:518–524
https://doi.org/10.1038/nature03799
26 DKMorrison (2012) MAP kinase pathways. Cold Spring Harb Perspect Biol 4:a011254
https://doi.org/10.1101/cshperspect.a011254
27 DXNguyen, PDBos, JMassague (2009) Metastasis: from dissemination to organ-specific colonization. Nat Rev Cancer 9:274–284
https://doi.org/10.1038/nrc2622
28 T,O’Hare WCShakespeare, XZhu, CAEide, VMRivera, FWang, LTAdrian, TZhou, WSHuang, QXuet al. (2009) AP24534, a pan-BCR-ABL inhibitor for chronic myeloid leukemia, potently inhibits the T315I mutant and overcomes mutation-based resistance. Cancer Cell 16:401–412
https://doi.org/10.1016/j.ccr.2009.09.028
29 TOskarsson, SAcharyya, XHZhang, SVanharanta, SFTavazoie, PGMorris, RJDowney, KManova-Todorova, EBrogi, JMassague (2011) Breast cancer cells produce tenascin C as a metastatic niche component to colonize the lungs. Nat Med 17:867–874
https://doi.org/10.1038/nm.2379
30 DPadua, XHZhang, QWang, CNadal, WLGerald, RRGomis, JMassague (2008) TGFbeta primes breast tumors for lung metastasis seeding through angiopoietin-like 4. Cell 133:66–77
https://doi.org/10.1016/j.cell.2008.01.046
31 CMPerou, TSorlie, MBEisen, Mvan de Rijn, SSJeffrey, CARees, JRPollack, DTRoss, HJohnsen, LAAkslenet al. (2000) Molecular portraits of human breast tumours. Nature 406:747–752
https://doi.org/10.1038/35021093
32 CAQuiet, DJFerguson, RRWeichselbaum, SHellman (1995) Natural history of node-negative breast cancer: a study of 826 patients with long-term follow-up. J Clin Oncol 13:1144–1151
https://doi.org/10.1200/JCO.1995.13.5.1144
33 BJRaney, MSCline, KRRosenbloom, TRDreszer, KLearned, GPBarber, LRMeyer, CASloan, VSMalladi, KMRoskinet al. (2011) ENCODE whole-genome data in the UCSC genome browser (2011 update). Nucleic Acids Res 39:D871–875
https://doi.org/10.1093/nar/gkq1017
34 SSaito, AFuruno, JSakurai, ASakamoto, HRPark, KShin-Ya, TTsuruo, ATomida (2009) Chemical genomics identifies the unfolded protein response as a target for selective cancer cell killing during glucose deprivation. Cancer Res 69:4225–4234
https://doi.org/10.1158/0008-5472.CAN-08-2689
35 RLSiegel, KDMiller, AJemal (2017) Cancer statistics, 2017. CA Cancer J Clin 67:7–30
https://doi.org/10.3322/caac.21387
36 KStegmaier, KNRoss, SAColavito, SO’Malley, BRStockwell, TRGolub (2004) Gene expression-based high-throughput screening (GE-HTS) and application to leukemia differentiation. Nat Genet 36:257–263
https://doi.org/10.1038/ng1305
37 ASubramanian, PTamayo, VKMootha, SMukherjee, BLEbert, MAGillette, APaulovich, SLPomeroy, TRGolub, ESLanderet al. (2005) Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci USA 102:15545–15550
https://doi.org/10.1073/pnas.0506580102
38 ASubramanian, RNarayan, SMCorsello, DDPeck, TENatoli, X,Lu JGould, JFDavis, AATubelli, JKAsieduet al. (2017) A next generation connectivity map: L1000 platform and the first 1,000,000 profiles. Cell 171:1437–1452
https://doi.org/10.1016/j.cell.2017.10.049
39 RThakur, RTrivedi, NRastogi, MSingh, DPMishra (2015) Inhibition of STAT3, FAK and Src mediated signaling reduces cancer stem cell load, tumorigenic potential and metastasis in breast cancer. Sci Rep 5:10194
https://doi.org/10.1038/srep10194
40 LJvan’t Veer, HDai, MJvan de Vijver, YDHe, AAHart, MMao, HLPeterse, Kvan der Kooy, MJMarton, ATWitteveenet al. (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature 415:530–536
https://doi.org/10.1038/415530a
41 LHWang, JXiang, MYan, YZhang, YZhao, CFYue, JXu, FMZheng, JNChen, ZKanget al. (2010) The mitotic kinase Aurora-A induces mammary cell migration and breast cancer metastasis by activating the Cofilin-F-actin pathway. Cancer Res 70:9118–9128
https://doi.org/10.1158/0008-5472.CAN-10-1246
42 JWang, CRouse, JSJasper, AMPendergast (2016) ABL kinases promote breast cancer osteolytic metastasis by modulating tumor-bone interactions through TAZ and STAT5 signaling. Sci Signal 9:ra12
https://doi.org/10.1126/scisignal.aad3210
43 BWeigelt, JLPeterse, LJvan’t Veer (2005) Breast cancer metastasis: markers and models. Nat Rev Cancer 5:591–602
https://doi.org/10.1038/nrc1670
44 YWu, Y,Zhang HZhang, XYang, YWang, FRen, HLiu, YZhai, BJia, JYuet al. (2010) p15RS attenuates Wnt/β-catenin signaling by disrupting β-catenin-TCF4 interaction. J Biol Chem 285:34621–34631
https://doi.org/10.1074/jbc.M110.148791
45 YLXiu, KXSun, XChen, SChen, YZhao, QGGuo, ZHZong (2017) Upregulation of the lncRNA Meg3 induces autophagy to inhibit tumorigenesis and progression of epithelial ovarian carcinoma by regulating activity of ATG3. Oncotarget 8:31714–31725
https://doi.org/10.18632/oncotarget.15955
[1] PAC-0161-18095-WD_suppl_1 Download
[1] Tomohiko Tsuge, Suchithra Menon, Yingchun Tong, Ning Wei. CSN1 inhibits c-Jun phosphorylation and down-regulates ectopic expression of JNK1[J]. Prot Cell, 2011, 2(5): 423-432.
[2] Qinghang Meng, Ying Xia. c-Jun, at the crossroad of the signaling network[J]. Prot Cell, 2011, 2(11): 889-898.
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