Literature DB >> 34497119

lncRNA BORG:TRIM28 Complexes Drive Metastatic Progression by Inducing α6 Integrin/CD49f Expression in Breast Cancer Stem Cells.

Kimberly A Parker1, Alex J Gooding2, Saba Valadkhan3, William P Schiemann4.   

Abstract

Triple-negative breast cancer (TNBC) is the most lethal subtype of breast cancer, with its aggressive phenotype being attributed to chemotherapy resistance, metastatic dissemination, and rapid disease recurrence. Breast cancer stem cells (BCSC) are significant contributors to tumor initiation, as well as to the acquisition of aggressive tumorigenic phenotypes, namely due to their ability to self-replicate and to produce heterogeneous differentiated tumor cells. To elucidate the underlying mechanisms that drive BCSC tumorigenicity in TNBC, we identified the long noncoding RNA (lncRNA) B MP/ O P- R esponsive G ene (BORG) as an enhancer of BCSC phenotypes. Indeed, we found BORG expression to: (i) correlate with stem cell markers Nanog, Aldh1a3, and Itga6 (α6 integrin/CD49f); (ii) enhance stem cell phenotypes in murine and human TNBC cells, and (iii) promote TNBC tumor initiation in mice. Mechanistically, BORG promoted BCSC phenotypes through its ability to interact physically with the E3 SUMO ligase TRIM28. Moreover, TRIM28 binding was observed in the promoter region of Itga6, whose genetic inactivation prevented BORG:TRIM28 complexes from: (i) inducing BCSC self-renewal and expansion in vitro, and (ii) eliciting BCSC metastatic outgrowth in the lungs of mice. Collectively, these findings implicate BORG:TRIM28 complexes as novel drivers of BCSC phenotypes in developing and progressing TNBCs. IMPLICATIONS: This work establishes the lncRNA BORG as a driver of BCSC phenotypes and the aggressive behaviors of TNBCs, events critically dependent upon the formation of BORG:TRIM28 complexes and expression of α6 integrin. ©2021 The Authors; Published by the American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 34497119      PMCID: PMC8642309          DOI: 10.1158/1541-7786.MCR-21-0137

Source DB:  PubMed          Journal:  Mol Cancer Res        ISSN: 1541-7786            Impact factor:   5.852


  76 in total

1.  Y-box binding protein-1 induces the expression of CD44 and CD49f leading to enhanced self-renewal, mammosphere growth, and drug resistance.

Authors:  Karen To; Abbas Fotovati; Kristen M Reipas; Jennifer H Law; Kaiji Hu; Jing Wang; Arezoo Astanehe; Alastair H Davies; Lawrence Lee; Anna L Stratford; Afshin Raouf; Pauline Johnson; Isabelle M Berquin; Hans-Dieter Royer; Connie J Eaves; Sandra E Dunn
Journal:  Cancer Res       Date:  2010-03-23       Impact factor: 12.701

2.  Transcriptome analyses of mouse and human mammary cell subpopulations reveal multiple conserved genes and pathways.

Authors:  Elgene Lim; Di Wu; Bhupinder Pal; Toula Bouras; Marie-Liesse Asselin-Labat; François Vaillant; Hideo Yagita; Geoffrey J Lindeman; Gordon K Smyth; Jane E Visvader
Journal:  Breast Cancer Res       Date:  2010-03-26       Impact factor: 6.466

Review 3.  Determining mammosphere-forming potential: application of the limiting dilution analysis.

Authors:  Lauren M Rota; Deborah A Lazzarino; Amber N Ziegler; Derek LeRoith; Teresa L Wood
Journal:  J Mammary Gland Biol Neoplasia       Date:  2012-06-08       Impact factor: 2.673

4.  CD49f and CD61 identify Her2/neu-induced mammary tumor-initiating cells that are potentially derived from luminal progenitors and maintained by the integrin-TGFβ signaling.

Authors:  P-K Lo; D Kanojia; X Liu; U P Singh; F G Berger; Q Wang; H Chen
Journal:  Oncogene       Date:  2011-09-26       Impact factor: 9.867

Review 5.  Mammary stem cells and the differentiation hierarchy: current status and perspectives.

Authors:  Jane E Visvader; John Stingl
Journal:  Genes Dev       Date:  2014-06-01       Impact factor: 11.361

6.  An evolutionary arms race between KRAB zinc-finger genes ZNF91/93 and SVA/L1 retrotransposons.

Authors:  Frank M J Jacobs; David Greenberg; Ngan Nguyen; Maximilian Haeussler; Adam D Ewing; Sol Katzman; Benedict Paten; Sofie R Salama; David Haussler
Journal:  Nature       Date:  2014-09-28       Impact factor: 49.962

7.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

Review 8.  Transcription factor heterogeneity in pluripotent stem cells: a stochastic advantage.

Authors:  Maria-Elena Torres-Padilla; Ian Chambers
Journal:  Development       Date:  2014-06       Impact factor: 6.868

9.  Unravelling subclonal heterogeneity and aggressive disease states in TNBC through single-cell RNA-seq.

Authors:  Mihriban Karaayvaz; Simona Cristea; Shawn M Gillespie; Anoop P Patel; Ravindra Mylvaganam; Christina C Luo; Michelle C Specht; Bradley E Bernstein; Franziska Michor; Leif W Ellisen
Journal:  Nat Commun       Date:  2018-09-04       Impact factor: 14.919

10.  scLink: Inferring Sparse Gene Co-expression Networks from Single-cell Expression Data.

Authors:  Wei Vivian Li; Yanzeng Li
Journal:  Genomics Proteomics Bioinformatics       Date:  2021-07-10       Impact factor: 7.691

View more
  2 in total

Review 1.  Protein Degradation by E3 Ubiquitin Ligases in Cancer Stem Cells.

Authors:  Macarena Quiroga; Andrea Rodríguez-Alonso; Gloria Alfonsín; Juan José Escuder Rodríguez; Sara M Breijo; Venancio Chantada; Angélica Figueroa
Journal:  Cancers (Basel)       Date:  2022-02-16       Impact factor: 6.639

Review 2.  Mechanisms of Cell Adhesion Molecules in Endocrine-Related Cancers: A Concise Outlook.

Authors:  Yongsheng Ruan; Libai Chen; Danfeng Xie; Tingting Luo; Yiqi Xu; Tao Ye; Xiaona Chen; Xiaoqin Feng; Xuedong Wu
Journal:  Front Endocrinol (Lausanne)       Date:  2022-04-07       Impact factor: 6.055

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.