Literature DB >> 24970481

Definition of PKC-α, CDK6, and MET as therapeutic targets in triple-negative breast cancer.

Yi-Hsin Hsu1, Jun Yao1, Li-Chuan Chan2, Ting-Jung Wu3, Jennifer L Hsu4, Yueh-Fu Fang5, Yongkun Wei1, Yun Wu6, Wen-Chien Huang7, Chien-Liang Liu7, Yuan-Ching Chang7, Ming-Yang Wang8, Chia-Wei Li1, Jia Shen2, Mei-Kuang Chen9, Aysegul A Sahin6, Anil Sood10, Gordon B Mills11, Dihua Yu2, Gabriel N Hortobagyi12, Mien-Chie Hung13.   

Abstract

Triple-negative breast cancer (TNBC) is a highly heterogeneous and recurrent subtype of breast cancer that lacks an effective targeted therapy. To identify candidate therapeutic targets, we profiled global gene expression in TNBC and breast tumor-initiating cells with a patient survival dataset. Eight TNBC-related kinases were found to be overexpressed in TNBC cells with stem-like properties. Among them, expression of PKC-α, MET, and CDK6 correlated with poorer survival outcomes. In cases coexpressing two of these three kinases, survival rates were lower than in cases where only one of these kinases was expressed. In functional tests, two-drug combinations targeting these three kinases inhibited TNBC cell proliferation and tumorigenic potential in a cooperative manner. A combination of PKC-α-MET inhibitors also attenuated tumor growth in a cooperative manner in vivo. Our findings define three kinases critical for TNBC growth and offer a preclinical rationale for their candidacy as effective therapeutic targets in treating TNBC. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 24970481      PMCID: PMC4154991          DOI: 10.1158/0008-5472.CAN-14-0584

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  46 in total

1.  Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies.

Authors:  Brian D Lehmann; Joshua A Bauer; Xi Chen; Melinda E Sanders; A Bapsi Chakravarthy; Yu Shyr; Jennifer A Pietenpol
Journal:  J Clin Invest       Date:  2011-07       Impact factor: 14.808

Review 2.  Triple-negative breast cancer.

Authors:  William D Foulkes; Ian E Smith; Jorge S Reis-Filho
Journal:  N Engl J Med       Date:  2010-11-11       Impact factor: 91.245

3.  Protein kinase C α is a central signaling node and therapeutic target for breast cancer stem cells.

Authors:  Wai Leong Tam; Haihui Lu; Joyce Buikhuisen; Boon Seng Soh; Elgene Lim; Ferenc Reinhardt; Zhenhua Jeremy Wu; Jordan A Krall; Brian Bierie; Wenjun Guo; Xi Chen; Xiaole Shirley Liu; Myles Brown; Bing Lim; Robert A Weinberg
Journal:  Cancer Cell       Date:  2013-09-09       Impact factor: 31.743

Review 4.  Stems cells and the pathways to aging and cancer.

Authors:  Derrick J Rossi; Catriona H M Jamieson; Irving L Weissman
Journal:  Cell       Date:  2008-02-22       Impact factor: 41.582

5.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

6.  Transformation of different human breast epithelial cell types leads to distinct tumor phenotypes.

Authors:  Tan A Ince; Andrea L Richardson; George W Bell; Maki Saitoh; Samuel Godar; Antoine E Karnoub; James D Iglehart; Robert A Weinberg
Journal:  Cancer Cell       Date:  2007-08       Impact factor: 31.743

7.  Identification of novel kinase targets for the treatment of estrogen receptor-negative breast cancer.

Authors:  Corey Speers; Anna Tsimelzon; Krystal Sexton; Ashley M Herrick; Carolina Gutierrez; Aedin Culhane; John Quackenbush; Susan Hilsenbeck; Jenny Chang; Powel Brown
Journal:  Clin Cancer Res       Date:  2009-10-06       Impact factor: 12.531

8.  A genome-wide siRNA screen identifies proteasome addiction as a vulnerability of basal-like triple-negative breast cancer cells.

Authors:  Fabio Petrocca; Gabriel Altschuler; Shen Mynn Tan; Marc L Mendillo; Haoheng Yan; D Joseph Jerry; Andrew L Kung; Winston Hide; Tan A Ince; Judy Lieberman
Journal:  Cancer Cell       Date:  2013-08-12       Impact factor: 31.743

9.  Stable transfection of protein kinase C alpha cDNA in hormone-dependent breast cancer cell lines.

Authors:  D A Tonetti; M J Chisamore; W Grdina; H Schurz; V C Jordan
Journal:  Br J Cancer       Date:  2000-09       Impact factor: 7.640

10.  Cell Line Data Base: structure and recent improvements towards molecular authentication of human cell lines.

Authors:  Paolo Romano; Assunta Manniello; Ottavia Aresu; Massimiliano Armento; Michela Cesaro; Barbara Parodi
Journal:  Nucleic Acids Res       Date:  2008-10-15       Impact factor: 16.971

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  36 in total

1.  H2O2 induces nuclear transport of the receptor tyrosine kinase c-MET in breast cancer cells via a membrane-bound retrograde trafficking mechanism.

Authors:  Mei-Kuang Chen; Yi Du; Linlin Sun; Jennifer L Hsu; Yu-Han Wang; Yuan Gao; Jiaxing Huang; Mien-Chie Hung
Journal:  J Biol Chem       Date:  2019-04-08       Impact factor: 5.157

2.  Fragment-based in silico modeling of multi-target inhibitors against breast cancer-related proteins.

Authors:  Alejandro Speck-Planche; M Natália D S Cordeiro
Journal:  Mol Divers       Date:  2017-02-13       Impact factor: 2.943

3.  The CDK6-c-Jun-Sp1-MMP-2 axis as a biomarker and therapeutic target for triple-negative breast cancer.

Authors:  Chi-Wen Luo; Ming-Feng Hou; Chia-Wei Huang; Chun-Chieh Wu; Fu Ou-Yang; Qiao-Lin Li; Cheng-Che Wu; Mei-Ren Pan
Journal:  Am J Cancer Res       Date:  2020-12-01       Impact factor: 6.166

4.  A chirality-dependent action of vitamin C in suppressing Kirsten rat sarcoma mutant tumor growth by the oxidative combination: Rationale for cancer therapeutics.

Authors:  Xinggang Wu; Mikyung Park; Dilara A Sarbassova; Haoqiang Ying; Min Gyu Lee; Rajat Bhattacharya; Lee Ellis; Christine B Peterson; Mien-Chie Hung; Hui-Kuan Lin; Rakhmetkazhi I Bersimbaev; Min Sup Song; Dos D Sarbassov
Journal:  Int J Cancer       Date:  2019-10-08       Impact factor: 7.396

5.  An analysis of critical factors for quantitative immunoblotting.

Authors:  Kevin A Janes
Journal:  Sci Signal       Date:  2015-04-07       Impact factor: 8.192

6.  MicroRNA-200b inhibits pituitary tumor cell proliferation and invasion by targeting PKCα.

Authors:  Yuanchuan Wang; Xiaohong Yin; Long Zhao; Shun Li; Jie Duan; Renzhao Kuang; Junwei Duan
Journal:  Exp Ther Med       Date:  2017-06-27       Impact factor: 2.447

7.  Extracellular PKM2 induces cancer proliferation by activating the EGFR signaling pathway.

Authors:  Ming-Chuan Hsu; Wen-Chun Hung; Hirohito Yamaguchi; Seung-Oe Lim; Hsin-Wei Liao; Chia-Hua Tsai; Mien-Chie Hung
Journal:  Am J Cancer Res       Date:  2016-02-15       Impact factor: 6.166

8.  H19 derived microRNA-675 regulates cell proliferation and migration through CDK6 in glioma.

Authors:  Chao Li; Bingxi Lei; Shuaibin Huang; Meiguang Zheng; Zhenghao Liu; Zhongjun Li; Yuefei Deng
Journal:  Am J Transl Res       Date:  2015-10-15       Impact factor: 4.060

9.  PKCα Attenuates Jagged-1-Mediated Notch Signaling in ErbB-2-Positive Breast Cancer to Reverse Trastuzumab Resistance.

Authors:  Kinnari Pandya; Debra Wyatt; Brian Gallagher; Deep Shah; Andrew Baker; Jeffrey Bloodworth; Andrei Zlobin; Antonio Pannuti; Andrew Green; Ian O Ellis; Aleksandra Filipovic; Jason Sagert; Ajay Rana; Kathy S Albain; Lucio Miele; Mitchell F Denning; Clodia Osipo
Journal:  Clin Cancer Res       Date:  2015-09-08       Impact factor: 12.531

10.  Inhibition of PKCα reduces the ability of migration of kidney cancer cells but has no impact on cell apoptosis.

Authors:  Bo Zhan; Chuize Kong; Zhe Zhang; Xiao Dong; Naiwen Zhang
Journal:  Exp Ther Med       Date:  2017-03-23       Impact factor: 2.447

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